qualitative research topics in information technology

It is the creative and investigative analysis of intangible and inexact data. The method is inductive in that the researcher codes the data during or after the collection. It is, therefore, necessary to have top-notch qualitative research topics for a first-class paper.

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You can never miss a qualitative research assignment. Therefore, use any of the examples of qualitative research topics above for your motivation. The issues should propel you to composing a top-rated qualitative research paper.

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224 Research Topics on Technology & Computer Science

Are you new to the world of technology? Do you need topics related to technology to write about? No worries, Custom-writing.org experts are here to help! In this article, we offer you a multitude of creative and interesting technology topics from various research areas, including information technology and computer science. So, let’s start!

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🔝 Top 10 Topics

👋 Introduction

💾 Top 10 Computer Science Topics

⚙ Artificial Intelligence

💉 biotechnology, 📡 communications and media.

💻Computer Science & Engineering

🔋 Energy & Power Technologies

🍗 food technology, 😷 medical devices & diagnostics, 💊 pharmaceutical technologies.

🚈 Transportation

✋ Conclusion

🔍 references, 🔝 top 10 technology topics.

Is it a good thing that technologies and computer science are developing so fast? No one knows for sure. There are too many different opinions, and some of them are quite radical! However, we know that technologies have changed our world once and forever. Computer science affects every single area of people’s lives.

Just think about Netflix . Can you imagine that 23 years ago it didn’t exist? How did people live without it? Well, in 2023, the entertainment field has gone so far that you can travel anywhere while sitting in your room. All you would have to do is just order a VR (virtual reality) headset. Moreover, personal computers give an unlimited flow of information, which has changed the entire education system.

Every day, technologies become smarter and smaller. A smartphone in your pocket may be as powerful as your laptop. No doubt, the development of computer science builds our future. It is hard to count how many research areas in technologies and computer science are there. But it is not hard to name the most important of them.

Artificial intelligence tops the charts, of course. However, engineering and biotechnology are not far behind. Communications and media are developing super fast as well. The research is also done in areas that make our lives better and more comfortable. The list of them includes transport, food and energy, medical, and pharmaceutical areas.

So check out our list of 204 most relevant computer science research topics below. Maybe one of them will inspire you to do revolutionary research!

💾 Top 10 Computer Science Research Topics

💡 technologies & computer science: research ideas.

Many people probably picture robots from the movie “I, Robot” when they hear about artificial intelligence. However, it is far from the truth.

AI is meant to be as close to a rational way of thinking as possible. It uses binary logic (just like computers) to help solve problems in many areas. Applied AI is only aimed at one task. A generalized AI branch is looking into a human-like machine that can learn to do anything.

Applied AI already helps researchers in quantum physics and medicine. You deal with AI every day when online shops suggest some items based on your previous purchases. Siri and self-driving cars are also examples of applied AI.

Generalized AI is supposed to be a copy of multitasking human intelligence. However, it is still in the stage of development. Computer technology has yet to reach the level necessary for its creation.

One of the latest trends in this area is improving healthcare management. It is done through the digitalization of all the information in hospitals and even helping diagnose the patients.

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Also, privacy issues and facial recognition technologies are being researched. For example, some governments collect biometric data to reduce and even predict crime.

Research Topics on Artificial Intelligence Technology

Since AI development is exceptionally relevant nowadays, it would be smart to invest your time and effort into researching it. Here are some ideas on artificial intelligence research topics that you can look into:

Biotechnology uses living organisms to modify different products. Even the simple thing as baking bread is a process of biotechnology. However, nowadays, this area went as far as changing the organisms’ DNA. Genetics and biochemistry are also a part of the biotechnology area.

The development of this area allows people to cure diseases with the help of new medicines. In agriculture, more and more research is done on biological treatment and modifying plants. Biotechnology is even involved in the production of our groceries, household chemicals, and textiles.

There are many exciting trends in biotechnology now that carry the potential of changing our world! For example, scientists are working on creating personalized drugs. This is feasible once they apply computer science to analyze people’s DNA.

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Also, thanks to using new technologies, doctors can collect exact data and provide the patients with correct diagnosis and treatment. Now, you don’t even need to leave your place to get a doctor’s check-up. Just use telehealth!

Data management is developing in the biotechnology area as well. Thanks to that, doctors and scientists can store and access a tremendous amount of information.

The most exciting is the fact that new technology enables specialists to assess genetic information to treat and prevent illnesses! It may solve the problem of some diseases that were considered untreatable before.

Research Topics on Biotechnology

You can use the following examples of research questions on biotechnology for presentation or even a PhD paper! Here is a wide range of topics on biotechnology and its relation to agriculture, nanotechnology, and many more:

One of the first areas that technologies affected was communications and media. People from the last century couldn’t have imagined how easy it would be to get connected with anyone! Internet connection starts appearing even in the most remote places.

Nowadays, media is used not only for social interaction but for business development and educational purposes as well. You can now start an entirely online business or use special tools to promote the existing one. Also, many leading universities offer online degrees.

In communications and media, AI has been playing the role of enhancement recently. The technology helps create personalized content for always demanding consumers.

Developing media also create numerous job opportunities. For instance, recently, an influencer has become a trending career. Influencers always use the most relevant communication tools available. At the moment, live videos and podcasting are on the top.

Now, you just need to reach your smartphone to access all the opportunities mentioned above! You can apply for a college, find a job, or reach out to all your followers online. It is hard to imagine how far communication and media can go…

Communications and Media Technology Research Topics

There are quite a few simple yet exciting ideas for media and communications technology research topics. Hopefully, you will find THE ONE amongst these Information and Communications Technology (ICT) research proposal topics:

💻 Computer Science & Engineering

If you have ever wondered how computers work, you better ask a professional in computer science and engineering. This major combines two different, yet interconnected, worlds of machines.

Computer science takes care of the computer’s brain. It usually includes areas of study, such as programming languages and algorithms. Scientists also recognize three paradigms in terms of the computer science field.

For the rationalist paradigm, computer science is a part of math. The technocratic paradigm is focused on software engineering, while the scientific one is all about natural sciences. Interestingly enough, the latter can also be found in the area of artificial intelligence!

On the other hand, computer engineering maintains a computer’s body – hardware and software. It relies quite heavily on electrical engineering. And only the combination of computer science and engineering gives a full understanding of the machine.

If talking about trends and innovations, artificial intelligence development is probably the main one in the area of computer science technology. Big data is the field that has been extremely popular in recent years.

Cybersecurity is and will be one of the leading research fields in our Information Age. The latest trend in computer science and engineering is also virtual reality.

Computer Science Research Topics

If you want to find a good idea for your thesis or you are just preparing for a speech, check out this list of research topics in computer science and engineering:

Without energy, no technological progress is possible. Scientists are continually working on improving energy and power technologies. Recently, efforts have been aimed at three main areas.

Developing new batteries and fuel types helps create less expensive ways of storing energy. For example, fuel cells can be used for passenger buses. They need to be connected to a source of fuel to work. However, it guarantees the constant production of electricity as long as they have fuel.

One of the potential trends of the next years is hydrogen energy storage. This method is still in the stage of development. It would allow the use of hydrogen instead of electricity.

A smart grid is another area that uses information technology for the most efficient use of energy. For instance, the first-generation smart grid tracks the movement of electric energy on the go and sends the information back. It is a great way to correct the consumption of energy in real-time. More development is also done on the issue of electricity generation. It aims at technologies that can produce power from the sources that haven’t been used. The trends in this area include second-generation biofuels and photovoltaic glass.

Energy Technologies Research Topics

Since humanity cannot be using fossil fuels forever, the research in the area of energy can be extremely fruitful. The following list of energy and power technology research paper topics can give you an idea of where to dig:

The way we get our food has changed drastically with the technological development. Manufacturers look for ways to feed 7.5 billion people more efficiently. And the demand is growing every year. Now technology is not only used for packaging, but for producing and processing food as well.

Introducing robots into the process of manufacturing brings multiple benefits to the producer. Not only do they make it more cost-efficient, but they also reduce safety problems.

Surprisingly enough, you can print food on the 3D printer now! This technology is applied to produce soft food for people who can’t chew. NASA decided to use it for fun as well and printed a pizza!

Drones now help farmers to keep an eye on crops from above. It helps them see the full picture and analyze the current state of the fields. For example, a drone can spot a starting disease and save the crop.

The newest eco trends push companies to become more environmentally aware. They use technologies to create safer packaging. The issue of food waste is also getting more and more relevant. Consumers want to know that nothing is wasted. Thanks to the new technologies, the excess food is now used more wisely.

Food Technology Research Topics

If you are looking for qualitative research topics about technology in the food industry, here is a list of ideas you don’t want to miss:

Why does the life expectancy of people get higher and higher every year? One of the main aspects of it is the promotion of innovation in the medical area. For example, the development of equipment helps medical professionals to save many lives.

Thanks to information technology, the work is much more structured now in the medical area. The hospitals use tablets and the method of electronic medical records. It helps them to access and share the data more efficiently.

If talking about medical devices, emerging technologies save more lives than ever! For instance, operations done by robots are getting more and more popular. Don’t worry! Doctors are still in charge; they just control the robots from the other room. It allows operations to be less invasive and precise.

Moreover, science not only helps treat diseases but also prevent them! The medical research aims for the development of vaccines against deadly illnesses like malaria.

Some of the projects even sound more like crazy ideas from the future. But it is all happening right now! Scientists are working on the creation of artificial organs and the best robotic prosthetics.

All the technologies mentioned above are critical for successful healthcare management.

Medical Technology Research Topics

If you feel like saving lives is the purpose of your life, then technological research topics in the medical area are for you! These topics would also suit for your research paper:

In the past years, technologies have been drastically changing the pharmaceutical industry. Now, a lot of processes are optimized with the help of information technology. The ways of prescribing and distributing medications are much more efficient today. Moreover, the production of medicines itself has changed.

For instance, electronic prior authorization is now applied by more than half of the pharmacies. It makes the process of acquiring prior authorization much faster and easier.

The high price of medicines is the number one reason why patients stop using prescriptions. Real-time pharmacy benefit may be the solution! It is a system that gives another perspective for the prescribers. While working with individual patients, they will be able to consider multiple factors with the help of data provided.

The pharmaceutical industry also adopts some new technologies to compete on the international level. They apply advanced data analytics to optimize their work.

Companies try to reduce the cost and boost the effectiveness of the medicines. That is why they look into technologies that help avoid failures in the final clinical trials.

The constant research in the area of pharma is paying off. New specialty drugs and therapies arrive to treat chronic diseases. However, there are still enough opportunities for development.

Pharmaceutical Technologies Research Topics

Following the latest trends in the pharmaceutical area, this list offers a wide range of creative research topics on pharmaceutical technologies:

🚈 Transportation Technologies

We used to be focused on making transportation more convenient. However, nowadays, the focus is slowly switching to ecological issues.

It doesn’t mean that vehicles can’t be comfortable at the same time. That is why the development of electric and self-driving cars is on the peak.

Transportation technologies also address the issues of safety and traffic jams. There are quite many solutions suggested. However, it would be hard for big cities to switch to the other systems fast.

One of the solutions is using shared vehicle phone applications. It allows reducing the number of private cars on the roads. On the other hand, if more people start preferring private vehicles, it may cause even more traffic issues.

The most innovative cities even start looking for more eco-friendly solutions for public transport. Buses are being replaced by electric ones. At the same time, the latest trend is using private electric vehicles such as scooters and bikes.

So that people use public transport more, it should be more accessible and comfortable. That is why the payment systems are also being updated. Now, all you would need is to download an app and buy a ticket in one click!

Transportation Technologies Research Topics

Here you can find the best information technology research topics related to transportation technologies:

All in all, this article is a compilation of the 204 most interesting research topics on technology and computer science. It is a perfect source of inspiration for anyone who is interested in doing research in this area.

We have divided the topics by specific areas, which makes it easier for you to find your favorite one. There are 20 topics in each category, along with a short explanation of the most recent trends in the area.

You can choose one topic from artificial intelligence research topics and start working on it right away! There is also a wide selection of questions on biotechnology and engineering that are waiting to be answered.

Since media and communications are present in our everyday life and develop very fast, you should look into this area. But if you want to make a real change, you can’t miss on researching medical and pharmaceutical, food and energy, and transportation areas.

Of course, you are welcome to customize the topic you choose! The more creativity, the better! Maybe your research has the power to change something! Good luck, and have fun!

This might be interesting for you:

Thank you very for the best topics of research across all science and art projects. The best thing that I am interested to is computer forensics and security specifically for IT students.

Thanks for stopping by!

Hello, glad to hear from you!

Computer science focuses on creating programs and applications, while information technology focuses on using computer systems and networks. What computer science jobs are there. It includes software developers, web developers, software engineers, and data scientists.

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Three New Qualitative Research Technologies That Will Change Marketing and Innovation

Learn about three technology trends that are changing the effectiveness of qualitative research and delivering actionable consumer insights.

Posted: October 30, 2017 06:10 am

As researchers, most of us are feeling a tectonic shift under our feet. We know that consumers’ lives are rapidly evolving. We see companies scrambling to capitalize on marketplace changes by developing more agile research approaches . And, in our new social world, we have discovered that qualitative research and storytelling often does the most to drive successful business outcomes. This blog will cover three key topics related to qualitative technology:

Why New Technology is Critical in Qualitative Research

First, the days of believing that all market research will be replaced by big data has long past. We know that there is an overwhelming amount of secondary and operational data that can help identify problems and opportunities in organizations. But, our success in responding to those problems and opportunities comes from determining the strategy and execution of new, innovative and creative solutions not addressed by big data. The speed of building and optimizing these new products, services and communications programs has become the focus of marketing and innovation teams. And that is where I believe qualitative technology has the potential to drastically improve business speed and impact.

The companies that have shown the most success at rapid innovation have primarily been technology companies who have embraced agile development efforts to collect the right consumer data and gain rapid team alignment at every stage of development. Because agile development typically requires in-depth learning and rapid iteration, this is driving demand for new qualitative research technologies that reduced time and complexity, and enable rapid team decisions.

Three New Qualitative Research Technologies

Here are three technologies trends creating significant change in the effectiveness of qualitative research and delivering consumer insights that propel marketing and innovation teams.

#1 Automated Micro-Targeting:

Online communities have been around for nearly two decades now, and teams that use them for testing new ideas have seen significant benefits, particularly in terms of having rapid access to a highly-targeted group of participants. But many teams have struggled implementing or sustaining online communities because of drawbacks related to cost, sample diversity, quality and bias.

Newer technologies developed by tech giants to handle big data are also providing market research technology companies’ new ways to get the speed of online communities in a way that is more flexible, cost effective and targeted. For example, some qualitative research technology companies have tapped into social media sites for recruiting. Sites like Facebook, Instagram and LinkedIn have much richer and more up-to-date data on potential research participants than traditional research panel companies collect. By tapping social media technology, companies can shorten the time to target and recruit participants from weeks to days. This creates an opportunity to supplement or replace ongoing communities with shorter term, more flexible online qualitative research that delivers Iterative Insights .

Also, organizations that have dedicated panels are building automated recruiting interfaces that tap a much more sophisticated set of data on participants. The outcome of these interfaces is rapid consumer insights studies that can be created and fielded using exactly the right target audience. With ongoing industry issues related to sample quality, some companies are even building proprietary qualitative panels that ensure participants are geo-demographically validated, vetted to be articulate and willing to engage in social media-style conversations with photos and video. A major advantage of this approach is that companies can have a mix of branded and unbranded qualitative engagement, excluding participants that might have been biased by prior discussions.

#2 Virtual-Assisted Design and Data Collection:

One of the biggest challenges of gathering online qualitative consumer insights is figuring out how to collect the right data. Do you ask people survey style questions, or have them capture video? Do you create an interactive dialog or gather private responses? How do you sequence questions to get unbiased answers? And, how do you foster high quality responses, team discussion or rapid iteration to building on ideas that are generated by the group?

Historically, all qualitative research has been “custom” research, with expert moderators taking days or weeks to build research designs. But technology is taking the work out of design, and making it faster and easier to collect high quality qualitative data. It started with qualitative tools that sequence participants through a series of video or text-based questions that were “programmed” by moderators. But it has evolved with automated technology that taps into pre-designed discussion guide templates which have been developed to maximize quality. These activities are also structured to create qualitative datasets that are easier to analyze than traditional transcripts. For example, Digsite Fill-In-The-Blank tasks allow participants to tell MadLibs style stories. The complete response can be read in paragraph form, but the individual elements of the story can also be more easily analyzed.

In addition, automated tools are eliminating manual labor of qualitative data collection and validation. State of the art platforms automatically checks quality of responses, send out reminders and rewards, checks that participants are recording videos correctly, and even identify and feature responses that are most representative of the data. With the emergence of virtual assistants and chat bots, platforms will continue to get smarter about design and data collection.

#3 Smarter Reporting Automation:

In the past, extracting consumer insights from qualitative data has been a manual process. Researchers end up with lengthy transcripts or videos to cull through, using outdated coding approaches that make team iteration and rapid decision making more difficult.

Today, qualitative platforms are starting to apply automated tagging, natural language processing, sentiment analysis and text analytics to qualitative datasets to automatically find and feature the most relevant content. They have also taken a page from Pinterest and other social media sites to make it easier for teams to share key quotes and photos while they are in the process of collecting qualitative data. Smarter interfaces are taking quotes pinned by the team along with automated text analytics and combining them to create fast and customizable reports. This improved approach to identifying and sharing key insights is making it easier for teams to make decisions and iterate solutions within a single project or community.

The Role of Market Research in Technology Adoption

So, the final question is, are we as market researchers going to be the ones driving the adoption and usage of new qualitative technology? While this seems like the obvious path, research organizations are often late adopters of new technology. After all, you could say we are in the “safety” business, trying to get consumer feedback to reduce risk before moving forward with business decisions. The challenge is, the approaches we know to be “safe” are what we did before in absence of all of this technology change.

At the same time, other departments outside of market research are finding ways to collect qualitative consumer insights on their own. Whether it is R&D teams doing immersion work in the field, usability testing teams doing user testing, social media team doing social media engagement, or customer support teams collecting voice of the customer data, organizations are being encouraged to collect more consumer insights and put it in the hands of the decision makers.

If we as market researchers don’t take the lead in showing our organizations how to be more agile, we continue to narrow our value to only large-scale studies that have limited impact on the key decisions that teams need to make week in and week out. We also have to be ready to train our teams on how to use research data and results appropriately, so they make effective use of the capabilities we bring.

With that, I’d like to encourage all of you to get out there and look how qualitative research is changing and start to plan how you can transform your internal function to tap new qualitative tools for faster and more flexible consumer insights. You can make a difference in growing informed decision making, and help organizations avoid the quality sacrifices we have seen when unsophisticated research tools are put in the hands of untrained decision makers.

automation data collection innovation online communities online qualitative qualitative research

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177 of the Finest Technology Research Topics in 2022

We live in a technological era, and you can be sure of being asked to write a technology-oriented paper. Despite the contrary opinion that this is one of the most complicated tasks, students can comfortably develop a professional topic about technology for research paper.

In a technology research paper, students are tasked with exploring the various aspects of technology, such as inventions, their impacts, and emerging challenges. Since almost every sphere of life encompasses technology, it is nearly impossible to miss out on a technology topic or two.

High-quality technology research paper topics should: Demonstrate your understanding of various technological concepts Portray your ability to apply these concepts to real-life situations Show how technology impacts society.

The task of coming up with technology topics involves the following stages:

The last step is essential in ensuring that your topic aligns with the academic standards of your institutions. Have a look at the following writing prompts for your inspiration:

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The Top 10 Most Interesting Technology Research Topics

With technological innovation streamlining processes in businesses at all levels and customers opting for digital interaction, adopting modern technologies have become critical for success in all industries. Technology continues to positively impact organizations , according to Statista, which is why technology research topics have become common among college-level students.

In this article, we have hand-picked the best examples of technology research topics and technology research questions to help you choose a direction to focus your research efforts. These technology research paper topics will inspire you to consider new ways to analyze technology and its evolving role in today’s world.

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What Makes a Strong Technology Research Topic?

A strong research topic is clear, relevant, and original. It should intrigue readers to learn more about the role of technology through your research paper. A successful research topic meets the requirements of the assignment and isn’t too broad or narrow.

Technology research topics must identify a broad area of research on technologies, so an extremely technical topic can be overwhelming to write. Your technology research paper topic should be suitable for the academic level of your audience.

Tips for Choosing a Technology Research Topic

What’s the Difference Between a Research Topic and a Research Question?

A research topic is a subject or a problem being studied by a researcher. It is the foundation of any research paper that sets the tone of the research. It should be broad with a wide range of information available for conducting research.

On the other hand, a research question is closely related to the research topic and is addressed in the study. The answer is formed through data analysis and interpretation. It is more field-specific and directs the research paper toward a specific aspect of a broad subject.

How to Create Strong Technology Research Questions

Technology research questions should be concise, specific, and original while showing a connection to the technology research paper topic. It should be researchable and answerable through analysis of a problem or issue. Make sure it is easy to understand and write within the given word limit and timeframe of the research paper.

Technology is an emerging field with several areas of study, so a strong research question is based on a specific part of a large technical field. For example, many technologies are used in branches of healthcare such as genetics and DNA. Therefore, a research paper about genetics technology should feature a research question that is exclusive to genetics technology only.

2. Children’s Use of Social Media

Nowadays, parents allow their children to use the Internet from a very young age. A recent poll by C.S. Mott Children’s Hospital reported that 32 percent of parents allow their children aged seven to nine to use social media sites. This can expose them to cyber bullying and age-inappropriate content, as well as increase their dependence on technology.

Kids need to engage in physical activities and explore the world around them. Using social media sites in childhood can be negative for their personalities and brain health. Analyzing the advantages and disadvantages of the use of technology among young children can create an interesting research paper.

3. The Risks of Digital Voting

Digital voting is an easy way of casting and counting votes. It can save the cost and time associated with traveling to the polling station and getting a postal vote. However, it has a different set of security challenges. A research paper can list the major election security risks caused by digital voting.

Voting in an online format can expose your personal information and decisions to a hacker. As no computer device or software is completely unhackable, the voting system can be taken down, or the hacking may even go undetected.

4. Technology’s Impact on Society in 20 Years

Technological development has accelerated in the last decade. Current technology trends in innovation are focusing on artificial intelligence development, machine learning, and the development and implementation of robots.

Climate change has affected both human life and animal life. Climate technology can be used to deal with global warming in the coming years, and digital learning can make education available for everyone. This technology research paper can discuss the positive and negative effects of technology in 20 years.

5. The Reliability of Self-Driving Cars

Self-driving cars are one of the most exciting trends in technology today. It is a major technology of the future and one of the controversial technology topics. It is considered safer than human driving, but there are some risks involved. For example, edge cases are still common to experience while driving.

Edge cases are occasional and unpredictable situations that may lead to accidents and injuries. It includes difficult weather conditions, objects or animals on the road, and blocked roads. Self-driving cars may struggle to respond to edge cases appropriately, requiring the driver to employ common sense to handle the situation.

6. The Impact of Technology on Infertility

Assisted reproductive technology (ART) helps infertile couples get pregnant. It employs infertility techniques such as In-Vitro Fertilization (IVF) and Gamete Intrafallopian Transfer (GIFT).

Infertility technologies are included in the controversial technology topics because embryonic stem cell research requires extracted human embryos. So, the research can be considered unethical. It is an excellent research topic from the reproductive technology field.

7. Evolution of War Technology

Military technologies have improved throughout history. Modern technologies, such as airplanes, missiles, nuclear reactors, and drones, are essential for war management. Countries experience major innovation in technologies during wars to fulfill their military-specific needs.

Military technologies have controversial ideas and debates linked to them, as some people believe that it plays a role in wars. A research paper on war technology can help evaluate the role of technology in warfare.

8. Using Technology to Create Eco-Friendly Food Packaging

Food technologies and agricultural technologies are trying to manage climate change through eco-friendly food packaging. The materials used are biodegradable, sustainable, and have inbuilt technology that kills microbes harmful to human life.

Research on eco-friendly food packaging can discuss the ineffectiveness of current packaging strategies. The new food technologies used for packaging can be costly, but they are better for preserving foods and the environment.

9. Disease Diagnostics and Therapeutics Through DNA Cloning

Genetic engineering deals with genes and uses them as diagnostics and therapeutics. DNA cloning creates copies of genes or parts of DNA to study different characteristics. The findings are used for diagnosing different types of cancers and even hematological diseases.

Genetic engineering is also used for therapeutic cloning, which clones an embryo for studying diseases and treatments. DNA technology, gene editing, gene therapy, and similar topics are hot topics in technology research papers.

10. Artificial Intelligence in Mental Health Care

Mental health is a widely discussed topic around the world, making it perfect for technology research topics. The mental health care industry has more recently been using artificial intelligence tools and mental health technology like chatbots and virtual assistants to connect with patients.

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Artificial intelligence has the potential to improve the diagnosis and treatment of mental illness. It can help a health care provider with monitoring patient progress and assigning the right therapist based on provided data and information.

Technology Research Questions

Choosing the Right Technology Research Topic

Since technology is a diverse field, it can be challenging to choose an interesting technology research topic. It is crucial to select a good research topic for a successful research paper. Any research is centered around the research topic, so it’s important to pick one carefully.

From cell phones to self-driving cars, technological development has completely transformed the world. It offers a wide range of topics to research, resulting in numerous options to choose from. We have compiled technology research topics from a variety of fields. You should select a topic that interests you, as you will be spending weeks researching and writing about it.

Technology Research Topics FAQ

Technology is important in education because it allows people to access educational opportunities globally through mobile technologies and the Internet. Students can enroll in online college degrees , courses, and attend online coding bootcamps . Technology has also made writing research papers easier with the tremendous amount of material available online.

Yes, technology can take over jobs as robotics and automation continue to evolve. However, the management of these technologies will still require human employees with technical backgrounds, such as artificial intelligence specialists, data scientists , and cloud engineers.

Solar panels and wind turbines are two forms of technology that help with climate change, as they convert energy efficiently without emitting greenhouse gases. Electric bikes run on lithium batteries and only take a few hours to charge, which makes them environmentally friendly. Carbon dioxide captures are a way of removing CO 2 from the atmosphere and storing it deep underground.

Technology helps companies manage client and employee data, store and protect important information, and develop strategies to stay ahead of competitors. Marketing technologies, such as Search Engine Optimization (SEO), are great for attracting customers online.

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Babybyte: qualitative research to inform the development of an app to improve responsive feeding practices in parents of infants and toddlers.

1. Introduction

2. materials and methods, 2.1. participant eligibility, recruitment, and data collection, 2.2. child feeding app development, 2.3. data analysis, 3.1. demographic and technology use characteristics, 3.2. qualitative results, 4. discussion, limitations, 5. conclusions, supplementary materials, author contributions, institutional review board statement, informed consent statement, data availability statement, acknowledgments, conflicts of interest.

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Mobley, A.R.; Jake-Schoffman, D.E.; Fedele, D.A.; Varela, E.G.; Zeldman, J. BabyByte: Qualitative Research to Inform the Development of an App to Improve Responsive Feeding Practices in Parents of Infants and Toddlers. Int. J. Environ. Res. Public Health 2023 , 20 , 4769. https://doi.org/10.3390/ijerph20064769

Mobley AR, Jake-Schoffman DE, Fedele DA, Varela EG, Zeldman J. BabyByte: Qualitative Research to Inform the Development of an App to Improve Responsive Feeding Practices in Parents of Infants and Toddlers. International Journal of Environmental Research and Public Health . 2023; 20(6):4769. https://doi.org/10.3390/ijerph20064769

Mobley, Amy R., Danielle E. Jake-Schoffman, David A. Fedele, Elder Garcia Varela, and Jamie Zeldman. 2023. "BabyByte: Qualitative Research to Inform the Development of an App to Improve Responsive Feeding Practices in Parents of Infants and Toddlers" International Journal of Environmental Research and Public Health 20, no. 6: 4769. https://doi.org/10.3390/ijerph20064769

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Qualitative Research in Information Systems

Section editor: michael d. myers.

Welcome to the section on Qualitative Research in Information Systems (IS). This section aims to provide qualitative researchers in IS - and those wanting to know how to do qualitative research - with useful information on the conduct, evaluation and publication of qualitative research.

Acknowledgments : I am very grateful to the members of my Advisory Board, Allen S. Lee and M. Lynne Markus , for their encouragement and advice.

[ Introduction ] [ Overview of Qualitative Research ] [ Philosophical Perspectives ] [ Qualitative Research Methods ] [ Qualitative Techniques for Data Collection ] [ Modes of Analysis ] [ Citations on Qualitative Research ] [ Resources for Qualitative Researchers ] [ Software Tools for Qualitative Researchers ] [ Calls for Papers ] [ Page Administration ] [ ISWorld Net Navigation Map ]

Introduction

This section is organized as follows. After a general overview of qualitative research, philosophical perspectives which can inform qualitative research are discussed. This is followed by sections on qualitative research methods, qualitative research techniques, and modes of analyzing and interpreting qualitative data. This is then followed by a number of sub-sections that relate to qualitative research in general, i.e. citation lists, links to resources on the Internet for qualitative researchers, links to software tools and calls for papers.

The goal is to provide the IS community with useful information on qualitative research in IS (subject to copyright considerations) with as much material as possible provided -- through links -- by the original authors themselves.

Please send suggestions for improvement to the Section Editor at: [email protected]

Overview of Qualitative Research

Quantitative research methods were originally developed in the natural sciences to study natural phenomena. Examples of quantitative methods now well accepted in the social sciences include survey methods , laboratory experiments, formal methods (e.g. econometrics) and numerical methods such as mathematical modeling.

Qualitative research methods were developed in the social sciences to enable researchers to study social and cultural phenomena. Examples of qualitative methods are action research, case study research and ethnography. Qualitative data sources include observation and participant observation (fieldwork), interviews and questionnaires, documents and texts, and the researcher’s impressions and reactions.

The motivation for doing qualitative research, as opposed to quantitative research, comes from the observation that, if there is one thing which distinguishes humans from the natural world, it is our ability to talk! Qualitative research methods are designed to help researchers understand people and the social and cultural contexts within which they live. Kaplan and Maxwell (1994) argue that the goal of understanding a phenomenon from the point of view of the participants and its particular social and institutional context is largely lost when textual data are quantified.

Although most researchers do either quantitative or qualitative research work, some researchers have suggested combining one or more research methods in the one study (called triangulation). Good discussions of triangulation can be found in Ragin (1987) , Gable (1994) , Kaplan and Duchon (1988) and Lee (1991) . An empirical example of the use of triangulation is Markus' (1994) paper on electronic mail.

As well as the qualitative/quantitative distinction, there are other distinctions which are commonly made. Research methods have variously been classified as objective versus subjective ( Burrell and Morgan, 1979 ), as being concerned with the discovery of general laws (nomothetic) versus being concerned with the uniqueness of each particular situation (idiographic), as aimed at prediction and control versus aimed at explanation and understanding, as taking an outsider (etic) versus taking an insider (emic) perspective, and so on. Considerable controversy continues to surround the use of these terms, however, a discussion of these distinctions is beyond the scope of this section. For a fuller discussion see Luthans and Davis (1982 ), and Morey and Luthans (1984) . See also the section on philosophical perspectives below.

Philosophical Perspectives

For our purposes, the most pertinent philosophical assumptions are those which relate to the underlying epistemology which guides the research. Epistemology refers to the assumptions about knowledge and how it can be obtained (for a fuller discussion, see Hirschheim, 1992 ).

Guba and Lincoln (1994) suggest four underlying "paradigms" for qualitative research: positivism, post-positivism, critical theory, and constructivism. Orlikowski and Baroudi (1991) , following Chua (1986) , suggest three categories, based on the underlying research epistemology: positivist, interpretive and critical. This three-fold classification is the one that is adopted here. However it needs to be said that, while these three research epistemologies are philosophically distinct (as ideal types), in the practice of social research these distinctions are not always so clear cut (e.g. see Lee, 1989 ). There is considerable disagreement as to whether these research "paradigms" or underlying epistemologies are necessarily opposed or can be accommodated within the one study.

It should be clear from the above that the word 'qualitative' is not a synonym for 'interpretive' - qualitative research may or may not be interpretive, depending upon the underlying philosophical assumptions of the researcher. Qualitative research can be positivist, interpretive, or critical (see Figure 1). It follows from this that the choice of a specific qualitative research method (such as the case study method) is independent of the underlying philosophical position adopted. For example, case study research can be positivist ( Yin, 1994 ), interpretive ( Walsham, 1993 ), or critical, just as action research can be positivist ( Clark, 1972 ), interpretive ( Elden and Chisholm, 1993 ) or critical ( Carr and Kemmis, 1986 ). These three philosophical perspectives are discussed below.

1. Positivist Research

Positivists generally assume that reality is objectively given and can be described by measurable properties which are independent of the observer (researcher) and his or her instruments. Positivist studies generally attempt to test theory, in an attempt to increase the predictive understanding of phenomena. In line with this Orlikowski and Baroudi (1991, p.5 ) classified IS research as positivist if there was evidence of formal propositions, quantifiable measures of variables, hypothesis testing, and the drawing of inferences about a phenomenon from the sample to a stated population.

Examples of a positivist approach to qualitative research include Yin's (1994) and Benbasat et al's (1987) work on case study research.

2. Interpretive Research

Interpretive researchers start out with the assumption that access to reality (given or socially constructed) is only through social constructions such as language, consciousness and shared meanings. The philosophical base of interpretive research is hermeneutics and phenomenology ( Boland, 1985 ). Interpretive studies generally attempt to understand phenomena through the meanings that people assign to them and interpretive methods of research in IS are "aimed at producing an understanding of the context of the information system, and the process whereby the information system influences and is influenced by the context" ( Walsham 1993 , p. 4-5). Interpretive research does not predefine dependent and independent variables, but focuses on the full complexity of human sense making as the situation emerges ( Kaplan and Maxwell, 1994 ).

Examples of an interpretive approach to qualitative research include Boland's (1991) and Walsham's (1993) work.

3. Critical Research

Critical researchers assume that social reality is historically constituted and that it is produced and reproduced by people. Although people can consciously act to change their social and economic circumstances, critical researchers recognize that their ability to do so is constrained by various forms of social, cultural and political domination. The main task of critical research is seen as being one of social critique, whereby the restrictive and alienating conditions of the status quo are brought to light. Critical research focuses on the oppositions, conflicts and contradictions in contemporary society, and seeks to be emancipatory i.e. it should help to eliminate the causes of alienation and domination.

One of the best known exponents of contemporary critical social theory is Jurgen Habermas, who is regarded by many as one of the leading philosophers of the twentieth century. Habermas was a member of the Frankfurt School, which included figures such as Adorno, Horkheimer, Lukacs, and Marcuse. Examples of a critical approach to qualitative research include Ngwenyama's (1991) and Hirschheim and Klein's (1994) work.

Qualitative Research Methods

1. action research.

There are numerous definitions of action research, however one of the most widely cited is that of Rapoport’s, who defines action research in the following way:

This definition draws attention to the collaborative aspect of action research and to possible ethical dilemmas which arise from its use. It also makes clear, as Clark (1972) emphasizes, that action research is concerned to enlarge the stock of knowledge of the social science community. It is this aspect of action research that distinguishes it from applied social science, where the goal is simply to apply social scientific knowledge but not to add to the body of knowledge.

Action research has been accepted as a valid research method in applied fields such as organization development and education (e.g. see the Special Issue on action research in Human Relations , Vol. 46, No. 2, 1993 , and Kemmis and McTaggart, 1988 ). In information systems, however, action research has been mostly ignored, apart from one or two notable exceptions (e.g. Checkland, 1991 ).

A brief overview of action research is the article by Susman and Evered (1988) , and in information systems the article by Baskerville and Wood-Harper (1996) is a good place to start.

2. Case Study Research

Case study research is the most common qualitative method used in information systems ( Orlikowski and Baroudi, 1991 ; Alavi and Carlson, 1992 ). Although there are numerous definitions, Yin (1994) defines the scope of a case study as follows:

investigates a contemporary phenomenon within its real-life context, especially when the boundaries between phenomenon and context are not clearly evident" ( Yin 1994, p. 13 ).

Clearly, the case study research method is particularly well-suited to IS research, since the object of our discipline is the study of information systems in organizations, and "interest has shifted to organizational rather than technical issues" ( Benbasat et al. 1987 ).

Case study research can be positivist, interpretive, or critical, depending upon the underlying philosophical assumptions of the researcher (for a fuller discussion, see the section of Philosophical Perspectives above). Yin (1994) and Benbasat et al. (1987) are advocates of positivist case study research, whereas Walsham (1993) is an advocate of interpretive in-depth case study research.

3. Ethnographic Research

After early ground-breaking work by Wynn (1979) , Suchman (1987) and Zuboff (1988) , ethnography has now become more widely used in the study of information systems in organizations, from the study of the development of information systems ( Hughes et. al, 1992 ; Orlikowski, 1991 ; Preston, 1991 ) to the study of aspects of information technology management ( Davies, 1991 ; Davies and Nielsen, 1992 ). Ethnography has also been discussed as a method whereby multiple perspectives can be incorporated in systems design ( Holzblatt and Beyer, 1993 ) and as a general approach to the wide range of possible studies relating to the investigation of information systems ( Pettigrew, 1985 ).

In the area of the design and evaluation of information systems, some very interesting work is taking place in a collaborative fashion between ethnographers on the one hand, and designers, IS professionals, computer scientists and engineers on the other. This collaborative work is especially strong in the UK and Europe and is growing in the US.

At ICIS 1995 in Amsterdam, the subject of Judging Qualitative Research In Information Systems: Criteria For Accepting And Rejecting Manuscripts was discussed in a panel session. The Panel Session was chaired by Allen S. Lee with Richard Baskerville, Jonathan Liebenau and Michael D. Myers as panelists.

The presentation on the subject of Judging Ethnographic Manuscripts is available.

4. Grounded Theory

Grounded theory is a research method that seeks to develop theory that is grounded in data systematically gathered and analyzed. According to Martin and Turner (1986) , grounded theory is "an inductive, theory discovery methodology that allows the researcher to develop a theoretical account of the general features of a topic while simultaneously grounding the account in empirical observations or data." The major difference between grounded theory and other methods is its specific approach to theory development - grounded theory suggests that there should be a continuous interplay between data collection and analysis.

Grounded theory approaches are becoming increasingly common in the IS research literature because the method is extremely useful in developing context-based, process-oriented descriptions and explanations of the phenomenon (see, for example, Orlikowski, 1993).

Qualitative Techniques for Data Collection

Modes of analysis.

Although there are many different modes of analysis in qualitative research, just three approaches or modes of analysis will be discussed here: hermeneutics, semiotics, and approaches which focus on narrative and metaphor. It could be argued that grounded theory is also a mode of analysis, but since grounded theory has been discussed earlier, that discussion will not be repeated here.

1. Hermeneutics

Hermeneutics can be treated as both an underlying philosophy and a specific mode of analysis ( Bleicher, 1980 ). As a philosophical approach to human understanding, it provides the philosophical grounding for interpretivism (see the discussion on Philosophical Perspectives above). As a mode of analysis, it suggests a way of understanding textual data. The following discussion is concerned with using hermeneutics as a specific mode of analysis.

Hermeneutics is primarily concerned with the meaning of a text or text-analogue (an example of a text-analogue is an organization, which the researcher comes to understand through oral or written text). The basic question in hermeneutics is: what is the meaning of this text? ( Radnitzky 1970 , p. 20). Taylor says that

The idea of a hermeneutic circle refers to the dialectic between the understanding of the text as a whole and the interpretation of its parts, in which descriptions are guided by anticipated explanations ( Gadamer 1976 , p. 117). It follows from this that we have an expectation of meaning from the context of what has gone before. The movement of understanding "is constantly from the whole to the part and back to the whole" (ibid, p. 117). As Gadamer explains, "It is a circular relationship. . . The anticipation of meaning in which the whole is envisaged becomes explicit understanding in that the parts, that are determined by the whole, themselves also determine this whole." Ricoeur suggests that "Interpretation . . . is the work of thought which consists in deciphering the hidden meaning in the apparent meaning, in unfolding the levels of meaning implied in the literal meaning" ( Ricoeur 1974 , p. xiv).

There are different forms of hermeneutic analysis, from "pure" hermeneutics through to "critical" hermeneutics, however a discussion of these different forms is beyond the scope of this section. For a more in-depth discussion, see Bleicher (1980) , Palmer (1979) , and Thompson (1981) .

If hermeneutic analysis is used in an information systems study, the object of the interpretive effort becomes one of attempting to make sense of the organization as a text-analogue. In an organization, people (e.g. different stakeholders) can have confused, incomplete, cloudy and contradictory views on many issues. The aim of the hermeneutic analysis becomes one of trying to make sense of the whole, and the relationship between people, the organization, and information technology.

Good examples of research articles in IS which explicitly use hermeneutics are those by Boland (1991) , Lee (1994) , and Myers (1994) .

2. Semiotics

Like hermeneutics, semiotics can be treated as both an underlying philosophy and a specific mode of analysis. The following discussion concerns using semiotics as a mode of analysis.

Semiotics is primarily concerned with the meaning of signs and symbols in language. The essential idea is that words/signs can be assigned to primary conceptual categories, and these categories represent important aspects of the theory to be tested. The importance of an idea is revealed in the frequency with which it appears in the text.

One form of semiotics is "content analysis." Krippendorf (1980) defines content analysis as "a research technique for making replicable and valid references from data to their contexts." The researcher searches for structures and patterned regularities in the text and makes inferences on the basis of these regularities.

Another form of semiotics is "conversation analysis." In conversation analysis, it is assumed that the meanings are shaped in the context of the exchange ( Wynn, 1979 ). The researcher immerses himself/herself in the situation to reveal the background of practices.

A third form of semiotics is "discourse analysis." Discourse analysis builds on both content analysis and conversation analysis but focuses on "language games." A language game refers to a well-defined unit of interaction consisting of a sequence of verbal moves in which turns of phrases, the use of metaphor and allegory all play an important part.

At ICIS 1996 in Cleveland, the subject of The Merits of Three Qualitative Research Methods was discussed in a panel session. The Panel Session was chaired by Michael D. Myers, with Heinz K. Klein, Duane Truex and Eleanor Wynn as panelists. The presentation by Duane Truex on the subject of Text-Based Analysis Techniques is available.

A brief introduction to the use of semiotics in information systems is the book by Liebenau (1990) . Wynn's (1989) paper is a good example of the use of conversation analysis in information systems, while Klein and Truex's (1995) paper is a good example of the use of discourse analysis in IS.

3. Narrative and Metaphor

Narrative is defined by the Concise Oxford English Dictionary as a "tale, story, recital of facts, especially story told in the first person." There are many kinds of narrative, from oral narrative through to historical narrative. Metaphor is the application of a name or descriptive term or phrase to an object or action to which it is not literally applicable (e.g. a window in Windows 95).

Narrative and metaphor have long been key terms in literary discussion and analysis. In recent years there has been increasing recognition of the role they play in all types of thinking and social practice. Scholars in many disciplines have looked at areas such as metaphor and symbolism in indigenous cultures, oral narrative, narrative and metaphor in organizations, metaphor and medicine, metaphor and psychiatry etc.

In IS the focus has mostly been on understanding language, communication and meaning among systems developers and organizational members. In recent years narrative, metaphor and symbolic analysis has become a regular theme in the IFIP 8.2 Working Group conferences, the proceedings of which are now published by Chapman and Hall.

Citations on Qualitative Research

Resources for qualitative researchers, software tools for qualitative researchers.

The following are links to resources on the Internet regarding software tools for qualitative researchers:

Calls for Papers

Most IS journals now accept qualitative research. The following journals tend to favor it:

Page Administration

You are most welcome to contribute links to qualitative research material. Additionally, I am soliciting short abstracts of items in the references pages (maximum 50 words). Please contact the Section Editor by email [email protected] to see how you can help.

ISWorld Net Navigation Map

This page is sponsored by the Department of Information Systems and Operations Management at the University of Auckland, New Zealand, and is maintained by Michael D. Myers who can be reached at [email protected] This page was last updated on February 24, 2004 . Although we will attempt to keep this information accurate, we cannot guarantee the accuracy of the information provided.

Any feedback will be appreciated.

This work was published in MISQ Discovery on May 20, 1997. This is the original archival version. It is currently maintained by Michael D. Myers . Corrections, clarifications, and suggested modifications should be directed to him at [email protected] . Serious problems should be referred to the Editor-in-Chief.

Research Topics in Information Technology

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A research topic is an idea a researcher has when preparing to conduct an experiment. A research project is the testing of this topic and is often used for academic or professional purposes. These can help you start down a new career path or uncover the deep secrets of the universe!

Research topics complement what you learn in the classroom. These assignments allow students to explore their individual passions within the realm of the course subject. Research papers require organization, thoughtful discussion of complex ideas, and effective written communication. Even if you've never been formally asked to write a research paper , you might be required to present your work to a professor or employer.

If you crave conducting experiments or exploring unknown realms of tech, then you may have considered conducting a research project. This article gives an overview of how to structure a research topic, and we found ten unique inspirations for tech-related topics.

What Is a Research Topic Used For?

Research topics allow scholars and students to expand their studies. From history to math to art, there is more knowledge in any field of study than one person can possibly learn. Research topics allow you to hone in on one aspect of your subject.

Students in any academic discipline may use research topics. The final product format may vary depending on the subject of study. For example, a biology paper and an English literature paper take different forms based on the conventions of each academic discipline.

By the end of high school, most students have written a research paper and used a research topic. Research papers will be required at some point for college or university students, regardless of their major.

Most often, academia utilizes research topics and questions. Unless you move into a research or academic-based field, it's unlikely you will write a formal research paper at work that includes a research topic and question.

Research Topic vs. Research Question

A research topic is a general category or idea you want to investigate. Research questions are the specific area where you focus your research and writing.

If you study 20th-century history, your research topic might be women's roles during World War II. This topic is broad and covers many experiences. Your research question could be, what role did women play during resistance efforts in occupied France?

The answer to your research question will become your thesis statement, which is typically included at the end of your introductory paragraph. For example: Within the French Resistance movement, women worked in a variety of critical roles, including espionage, forgery, and munitions.

Tips for Researching

Before you commit to a research question, it's a good idea to do some light research. This ensures there is enough information accessible for you to complete your research paper.

When researching any topic, use reputable sources . The Google Scholar search engine utilizes academic and scholarly resources exclusively. Additionally, research librarians assist students and scholars in finding sources at libraries around the world. Lastly, create an outline for your paper. As you gather information, make sure to group the related facts together.

10 Interesting Technology Research Topics

If you are fascinated by technology and want to research a new, unique side of tech, then look no further. We have compiled a list of ten interesting technology research topics for you!

1. COVID-19's Effect on Medical Technology

History shows us that challenges often precede innovation; the COVID-19 pandemic is no different. Medical researchers and scholars may have used the pandemic to direct and advance new technologies.

For example, the Internet of Medical Things (IoMT) may emerge as a new focus for medical technology. This may allow for better remote medical monitoring and treatment.

Some questions to consider when researching medical tech developments after the start of COVID-19 include, who researches IoMT technology? What are the possible applications? What stage of development is this research in?

2. Online Education's Effect on Learning

The COVID-19 pandemic demonstrated how online learning could be very difficult for students, parents, and teachers. However, there are benefits to online learning. It stands to increase access to education, accommodate varied needs, and more.

In researching online education's effects on learning, consider when online education started and how far it has come since then. What technology has come out of online education? Will online education remain relevant in the next decade? Hint: Most likely.

3. Video Gaming as a Solution to World Problems

When discussing video games, most news coverage highlights only the negative side effects of gaming, such as increased depression, aggression, and addiction.

However, positive outcomes from gaming do exist, including increased reasoning, collaboration, and multicultural communities. Presumably, all these benefits could contribute positively to social problem-solving.

Questions to consider for this topic include: Can video games provide simulations for world problems? Is there a direct connection between gaming and social awareness or community?

4. Children's Use of Technology and Social Media

Research could take this topic in a number of interesting directions. Common topics include screen time, access to inappropriate information on the internet, and device addiction or dependency.

More interesting angles for research might include cultural differences regarding children and technology use or what technology use prepares children best for STEM careers.

Some questions to consider during your research might include: What does medical/scientific research show us regarding children and technology? Why do the effects of tech and social media on children matter?

5. The Pros and Cons of Human Cloning

Cloning seeks to replicate the DNA and function of living beings, including plants, animals, and humans. Currently, no lab has successfully cloned human DNA, despite some claims.

Human cloning has implications we cannot know at this time. Concerns regarding human cloning may parallel those associated with animal cloning, such as decreased life span, increased biological abnormalities, and inefficient production.

When researching human cloning, you may consider the following questions: Why do scientists continue to research human cloning? Which labs or countries are working on human cloning?

6. The Implications of Human Identity Chips

Identity chips can function similarly to a smartphone wallet — they can be used to hold memberships, credit cards, and even health records. However, the ethical implications of this technology embedded in the human body concern many researchers and consumers.

To research this effectively, you'd want to discover how and where identity chips are currently used in humans. Also consider: What laws or regulations exist? What are the ethical concerns?

7. Technology's Effect on Fertility

Still a relatively new field, in vitro fertilization (IVF) continues to benefit from advances in technology. Advances in hardware and microtechnology allow fertility doctors to improve the accuracy of certain procedures. Additionally, new AI software has been released that can more actively predict the health and success of frozen eggs and embryos.

Questions researchers might consider include: How accessible are these IVF technologies? Are there other possibilities for AI or micro technologies related to IVF?

8. The Morality of Genetic Engineering

Genetic engineering is a highly controversial topic, particularly regarding human genetic engineering. Even genetic modification of crops has strong proponents and harsh critics. While research continues around human genetic engineering, it is not used outside research labs, nor is it legal to do so in most of the world.

Questions to explore this topic might include: What research on genetic modification is ongoing? What are the proven risks and benefits?

9. Digital Voting Risks and Rewards

As with many digital advances, digital voting increases accessibility but provides security concerns. Making online purchases with a credit card was once viewed as a security risk; now, we don't even think twice about it.

With necessary elections taking place around the world during the COVID-19 pandemic, digital voting may be under consideration again. The security of votes and the recordkeeping processes are vital to the success of digital voting. Alternatively, increased accessibility and participation may occur with digital voting.

10. Genetically Modified Food As a Solution to World Hunger

As discussed earlier, genetically modified (GM) food can be a controversial topic. Using GM crops to reduce world hunger represents a huge benefit to this research. According to the UN, 90% of GM crop farmers live in the developing world.

To deepen an understanding of GM crops, ask yourself: How much data exists? What are the farmers saying? Do GM crops impact ecosystems or the long-term health of the environment? What is the newest research?

Frequently Asked Questions About Technology Research Topics

What style guide is accepted for research topic papers.

We recommend starting with The Modern Language Association (MLA) format or the American Psychology Association (APA) format. If your instructor specifies a different style guide, follow their instructions.

A style guide is the standard format for title pages, page numbering, and research citations. Different academic fields use different style guides for their research papers. Most university libraries feature reputable instructions and style guide tutorials. However, be careful with citation generators, as they are not always accurate.

How do I create a title for my research topic?

A good research title is specific and brief, no longer than 15 words. It conveys the central information of the research paper that follows. Of course, a title requires proper grammar and punctuation. In the title, all words between the first and last word of the title are capitalized except articles (such as in, a, the, etc.).

Academic paper titles rarely include an exclamation point. However, sometimes question marks are appropriate. Questions in titles are often included in subtitles.

Creating your research paper's title is best done at the end of your first draft. You want a full picture and understanding of your research to properly title the paper.

What are the current trending technologies?

Now an integral part of our society, innovations in computer technology evolve quickly. Some trends include datafication, increased computing power, genomics, and artificial intelligence (AI).

For any organization today, data is a vital asset. Data underscores trends and policies across industries. Of course, with the increased use of computers, their abilities need to increase. Developers seek to create faster networks and bigger storage options for digital work.

Technology trends like genomics and AI research focus on exploring new possibilities. Scientists working in genomics look to modify plant, animal, and potentially human DNA. While most people associate AI with robots, the voice-powered devices in your smart home are a more realistic example of AI trends. Researchers continue to refine and develop language and visual recognition of computers.

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What Is Qualitative Research? | Methods & Examples

Published on June 19, 2020 by Pritha Bhandari . Revised on January 30, 2023.

Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.

Qualitative research is the opposite of quantitative research , which involves collecting and analyzing numerical data for statistical analysis.

Qualitative research is commonly used in the humanities and social sciences, in subjects such as anthropology, sociology, education, health sciences, history, etc.

Approaches to qualitative research, qualitative research methods, qualitative data analysis, advantages of qualitative research, disadvantages of qualitative research, frequently asked questions about qualitative research.

Qualitative research is used to understand how people experience the world. While there are many approaches to qualitative research, they tend to be flexible and focus on retaining rich meaning when interpreting data.

Common approaches include grounded theory, ethnography , action research , phenomenological research, and narrative research. They share some similarities, but emphasize different aims and perspectives.

Note that qualitative research is at risk for certain research biases including the Hawthorne effect , observer bias , recall bias , and social desirability bias . While not always totally avoidable, awareness of potential biases as you collect and analyze your data can prevent them from impacting your work too much.

Each of the research approaches involve using one or more data collection methods . These are some of the most common qualitative methods:

Qualitative researchers often consider themselves “instruments” in research because all observations, interpretations and analyses are filtered through their own personal lens.

For this reason, when writing up your methodology for qualitative research, it’s important to reflect on your approach and to thoroughly explain the choices you made in collecting and analyzing the data.

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Qualitative data can take the form of texts, photos, videos and audio. For example, you might be working with interview transcripts, survey responses, fieldnotes, or recordings from natural settings.

Most types of qualitative data analysis share the same five steps:

There are several specific approaches to analyzing qualitative data. Although these methods share similar processes, they emphasize different concepts.

Qualitative research often tries to preserve the voice and perspective of participants and can be adjusted as new research questions arise. Qualitative research is good for:

Flexibility

The data collection and analysis process can be adapted as new ideas or patterns emerge. They are not rigidly decided beforehand.

Natural settings

Data collection occurs in real-world contexts or in naturalistic ways.

Meaningful insights

Detailed descriptions of people’s experiences, feelings and perceptions can be used in designing, testing or improving systems or products.

Generation of new ideas

Open-ended responses mean that researchers can uncover novel problems or opportunities that they wouldn’t have thought of otherwise.

Researchers must consider practical and theoretical limitations in analyzing and interpreting their data. Qualitative research suffers from:

Unreliability

The real-world setting often makes qualitative research unreliable because of uncontrolled factors that affect the data.

Subjectivity

Due to the researcher’s primary role in analyzing and interpreting data, qualitative research cannot be replicated . The researcher decides what is important and what is irrelevant in data analysis, so interpretations of the same data can vary greatly.

Limited generalizability

Small samples are often used to gather detailed data about specific contexts. Despite rigorous analysis procedures, it is difficult to draw generalizable conclusions because the data may be biased and unrepresentative of the wider population .

Labor-intensive

Although software can be used to manage and record large amounts of text, data analysis often has to be checked or performed manually.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

There are five common approaches to qualitative research :

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organizations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

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202 Best Choice Qualitative Research Topics for Students 2022

As a college student, you’ll always encounter a series of essays to write while in school. These essays will always be of different types, and they’ll include research essays. There are two important things to know when embarking on research paper writing. First, you have to understand if your research work is to be quantitative or qualitative.

For qualitative research writing, you’ll be required to go through a fundamental research process which entails gathering raw and primary information through field research which can either be done through interviews, surveys, observations, or through any other way of harnessing raw data.

There are so many research topics to look into when preparing for your essay writing. Among these are some of the qualitative research topics ideas to look out for.

Examples of Qualitative Research Topics

There is a wide variety of what qualitative research can cover. Below you’ll find a qualitative research topics list with some initial ideas that can get you started.

Qualitative Nursing Research Topics

Even while your area of specialization in college is in medicine or health care, you’ll still be required to carry out research writing. If your specialization is in nursing, there is still research to embark on. Because nursing itself as a field of study touches across a lot of medical and health care issues which requires research to be paid attention to and brought relevance to. Here are some qualitative research topics examples on nursing to look into.

Qualitative Research Topics in Education

While there are other topics specific to different other specifications, they all mostly spring up from education. There are so many issues and topics that pertain to the education system which allows for more research to be embarked on this aspect of learning. The one realistic and easy way to evaluate and improve the quality of education is through the carrying out of the research. Here are some good qualitative research topics in education.

Qualitative Research Topics in Political Science

Writing qualitative research also extends to the field of political sciences. Qualitative research is very important in the political field because it allows people to have a clearer understanding of the field as in most cases, it can easily become broad. Narrowing your research to specific topics will help you handle the research effectively. Here are some qualitative research topics lists in political science.

Topics for Ethnography Qualitative Research

Carrying out Ethnographic research requires paying attention and studying society from a descriptive perspective. This form of research writing is usually useful in cultural anthropology. Practically, when you are writing ethnographic research, you’ll be required to carry out a series of research writings. One of the most important researches you’ll be embarking on which in turn becomes primarily beneficial to the essay is qualitative research. With qualitative research writing in ethnography, every single collected raw data is useful information to you that will enable you to pull through with your essay. Listed below are some qualitative research paper topics.

Qualitative Research Topics in Public Health

Even while within the public health sector, you’ll still be required to write qualitative research on your field of study. What this allows is that it gives you the much-needed insight into looking into relevant and crucial aspects of your field of specialty that might need the extra attention. Knowing this while writing research will enable you to broaden your understanding of the intricacies of your course of study as it allows you to gather information firsthand. Here are some research topics for qualitative research on public health.

Qualitative Research Topics in Project Management

Project management entails making plans, structuring, controlling, and proffering reliable ways for the carrying out of such plans to achieve desirable results or goals. The main focus of every form of project management writing is that it focuses on ways through which goals or results can be achieved while basing it on a given process. There are so many topics that are in line with project management. Here is a look into some of the easy qualitative research topics within this particular field of study.

Are you writing your college research essay and wondering about how to go about it and, at the same time, if it will require expert writing help? Look no further, for you can rest assured that there are professional research writing experts here that will provide you with quality but cheap essays that will get you high grades! Don’t hesitate to try it out if you are struggling.

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Qualitative Research on Information and Communication Technology
Qualitative research on information and communication technology (ICT) covers a wide terrain, from studies examining the skills needed for reading, consuming, and producing information online to the communication practices taking place within social media and virtual environments.
Qualitative Research on Information and Communication Technology
The methods provided by qualitative research provide the necessary analytical tools and theoretical frameworks to explore these emerging issues. This entry begins with an overview of three current areas of qualitative research on ICT and is then followed by a discussion of the methodological challenges of ICT research.
100+ Qualitative Research Topics To Write About In 2022
Here are some qualitative research topics about humanities and social science to promote good performance: The impact of poor market rivalry on supply and demand The role of parents in shaping kids' morals Is social media the root cause of poor societal morals? How does alcohol impact a person's normal behavior?
Qualitative Research on Information and Communication Technology
January 2010. Recently, information and communication technology (ICT) in Japanese tertiary institutions have begun to play an increasingly important role in teaching and learning of foreign ...
130 Top-Notch Information Technology Research Topics
List of Topics For Research Paper in Information Technology Discuss how the Internet of Things is transforming how people conduct their activities Challenges to software-defined networking How are marketers and promoters taking up software as a service? The role of augmented reality and virtual reality in healthcare systems
Top 60 Examples of Qualitative Research Topics in 2021
These topics can involve gathering key data from the most relevant sources to your assignment topics and are fundamental to your effort to collect first-hand information. Some of the major fields where qualitative research is performed include: Anthropology Political science Psychology Business management History Social science
Top 115 Qualitative Research Topics and Ideas To Focus On
Some common types of qualitative research are case study, grounded theory, phenomenological, action research, ethnographic, and historical research topics. Qualitative research topics in the domain of public health Even in the field of public health, a lot of qualitative research is required.
70 Most Popular Qualitative Research Topics in 2022
Research Topics For Qualitative Research New ways of mitigating communicable diseases Emerging trends in digital media Worrying trends among the ageing population The importance of quarantine during the spread of infectious diseases How to promote social equity in patriarchal societies
224 Research Topics on Technology & Computer Science
Here are some ideas on artificial intelligence research topics that you can look into: What areas of life machine learning are the most influential? How to choose the right algorithm for machine learning? Supervised vs. unsupervised machine learning: compare & contrast Reinforcement machine learning algorithms
3 Qualitative Research Technologies That Will Change Marketing
Three New Qualitative Research Technologies Here are three technologies trends creating significant change in the effectiveness of qualitative research and delivering consumer insights that propel marketing and innovation teams. #1 Automated Micro-Targeting:
177 Best Technology Research Topics To Use In 2022
Top-notch Research Paper Topics on Technology The impact of Genetically Modified organisms on the health of a population Compare and contrast the functioning of the human brain to that of a computer. The role of video games on a person's problem-solving skills Where is technology taking the world in the next ten years?
Technology Research Topics
DNA technology, gene editing, gene therapy, and similar topics are hot topics in technology research papers. 10. Artificial Intelligence in Mental Health Care Mental health is a widely discussed topic around the world, making it perfect for technology research topics.
IJERPH
Responsive feeding is associated with a reduced risk of childhood obesity. The objective of this qualitative study was to determine parental preferences for mobile health (mHealth) app content and features designed to improve responsive feeding practices. Parents of -2-year-old children were interviewed individually. Interview questions were informed by the Technology Acceptance Model, and ...
Qualitative Research in Information Systems
This section is dedicated to qualitative research in Information Systems (IS). Qualitative research involves the use of qualitative data, such as interviews, documents, and participant observation, to understand and explain social phenomena. Qualitative researchers can be found in many disciplines and fields, using a variety of approaches ...
Trending Research Topics in Information Technology
Latest Research in Information-Technology Resource Allocation and Task Scheduling Algorithm also in Non-Cooperative Game Based Cloud Computing System Research of User Request Algorithm in Enhanced FCM and also Collaborative Filtering Based Mobile Cloud Computing
Qualitative Research on Information and Communication Technology
Abstract Qualitative research on information and communication technology ... Qualitative research on information and communication technology (ICT) covers a wide terrain, from studies examining online text comprehension ... Browse other articles of this reference work: BROWSE BY TOPIC; BROWSE A-Z; Related; Information; Close Figure Viewer ...
10 Most Interesting Technology Research Topics
Some relevant technology research topics include online education, medical technology, and digital voting. A research topic is an idea a researcher has when preparing to conduct an experiment. A research project is the testing of this topic and is often used for academic or professional purposes.
237 Technology Research Topics To Inspire Your Thesis
Evaluating biotechnology and molecular information systems roles How machine learning exposes learners to recent life opportunities How human-computer interactions affect innovations Managing data during the era of 5G technology Emerging study fields in computer data science Analyzing how computing contributes to the development
What Is Qualitative Research?
Qualitative research methods Each of the research approaches involve using one or more data collection methods. These are some of the most common qualitative methods: Observations: recording what you have seen, heard, or encountered in detailed field notes. Interviews: personally asking people questions in one-on-one conversations.
100 Technology Topics for Research Papers
6. Relationships and Media. 7. War. 8. Information and Communication Tech. 9. Computer Science and Robotics. Researching technology can involve looking at how it solves problems, creates new problems, and how interaction with technology has changed humankind.
202 Qualitative Research Topics to Check Out
Here are some good qualitative research topics in education. Which learning style is efficient for autistic children Importance of mental health education in the school curriculum The importance of computer literacy Learning condition of children in third world countries Food insecurity and child education
ERIC
The increase in adoption of business process management (BPM) and service oriented architecture (SOA) has created a high demand for qualified professionals with a plethora of skills. However, despite the growing amount of literature available on the topics of BPM and SOA, little research has been conducted around developing a detailed list of competencies required for SOA and BPM professionals.