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Work with thought leaders and academic experts in information systems

Companies can benefit from working with an academic researcher in Information Systems in several ways. Firstly, they can gain valuable insights and knowledge about the latest trends and advancements in the field. Researchers can help companies solve complex problems by applying their expertise and conducting in-depth analysis. Additionally, collaborating with researchers can provide companies with access to cutting-edge technology and tools. By working with an academic researcher, companies can stay ahead of the competition and make informed decisions based on data-driven research.

Researchers on NotedSource with backgrounds in information systems include Ping Luo, Martin Tsui, Jerry Schnepp, Ph.D., Edoardo Airoldi, Jeffrey Townsend, Jim Samuel, Dr Leandra Jordaan, Catherine Tucker, Balamurugan Tangiisuran, Suhang Wang, Dr. Haikun Huang, Ph.D., Anna Jobin, and Anindya Ghose.

Ping Luo

Toronto, Ontario, Canada
Bioinformatics Specialist at Princess Margaret Cancer Centre with experience in deep learning
Most Relevant Research Interests
Information Systems
Other Research Interests (21)
single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
And 16 more
About
8 years of science and engineering experience integrating multi-omics data to identify biomarkers for cancer studies. Seeking to apply data analytics expertise to develop new diagnosis and treatment strategies.
Most Relevant Publications (1+)

23 total publications

Evaluation of single-cell RNAseq labelling algorithms using cancer datasets

Briefings in Bioinformatics / Dec 30, 2022

Christensen, E., Luo, P., Turinsky, A., Husić, M., Mahalanabis, A., Naidas, A., Diaz-Mejia, J. J., Brudno, M., Pugh, T., Ramani, A., & Shooshtari, P. (2022). Evaluation of single-cell RNAseq labelling algorithms using cancer datasets. Briefings in Bioinformatics, 24(1). https://doi.org/10.1093/bib/bbac561

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Martin Tsui

San Francisco, California, United States of America
University of California, San Francisco
Most Relevant Research Interests
Information Systems
Other Research Interests (15)
Biochemistry
Structural Biology
Cryo-EM
CRISPR
Molecular Assembly and Interaction
And 10 more
About
Martin Tsui is an accomplished scientist with a strong background in biochemistry. He received his Ph.D. in Molecular Biophysics from Florida State University in 2017, where he conducted research on the structure and function of CRISPR proteins. Prior to that, he obtained his B.S. in Chemistry from the University of California, San Diego in 2012. After completing his graduate studies, Martin founded his own company, Stealth, where he serves as a Founder & CEO. Under his leadership, the company has developed innovative solutions for the biotech industry and has gained recognition for its groundbreaking research. Before starting his company, Martin worked as a Senior Scientist at Amazon, where he applied his expertise in protein biochemistry and CRISPR to improve the company's product development processes and creating new products. He also gained valuable experience as a Postdoctoral Scholar at the University of California, San Francisco and Postdoctoral Fellow at the Van Andel Institute, where he studied cancer proteins, SARS-CoV-2, HIV proteins, and the role of proteins in neurodegenerative diseases, respectively. Martin is a highly driven and passionate individual who is dedicated to advancing the field of biotechnology. His impressive education and diverse experience have equipped him with the skills and knowledge to make significant contributions to the scientific community. He continues to pursue new opportunities to further his research and make a positive impact in the world of science.
Most Relevant Publications (1+)

17 total publications

Comparative host–pathogen protein–protein interaction analysis of recent coronavirus outbreaks and important host targets identification

Briefings in Bioinformatics / Sep 11, 2020

Khan, A. A., & Khan, Z. (2020). Comparative host–pathogen protein–protein interaction analysis of recent coronavirus outbreaks and important host targets identification. Briefings in Bioinformatics, 22(2), 1206–1214. https://doi.org/10.1093/bib/bbaa207

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Jerry Schnepp, Ph.D.

Chicago, Illinois, United States of America
Chair of Computer Science, Judson University
Most Relevant Research Interests
Information Systems
Other Research Interests (18)
Human Computer Interaction
User Experience
Interactive Media
Computer Graphics
Accommodations for the Deaf
And 13 more
About
As a technologist, designer, and creative problem-solver, I'm passionate about teaching people to embrace new technology and explore. I am the Chair of the Computer Science department at Judson University. Before my appointment, I served as an Associate Professor in the College of Technology, Architecture and Applied Engineering at Bowling Green State University (BGSU). I teach courses in Programming, Data Structures and Algorithms, Software Design Patterns, Interactive Media, Usability, User Experience, and Augmented/Virtual Reality. I was the founding director of the Collab Lab, a hands-on, creative space for students and faculty to engage in collaborative work. My research efforts are directed in several areas: AI Supported Individualized Learning, Learner Experience Design, Technology for Online Assessment, Interactive Mobile Learning, and Computerized Sign Language Synthesis. I enjoy collaborating on projects involving cutting-edge technology and new applications.
Most Relevant Publications (2+)

20 total publications

An automated technique for real-time production of lifelike animations of American Sign Language

Universal Access in the Information Society / May 14, 2015

McDonald, J., Wolfe, R., Schnepp, J., Hochgesang, J., Jamrozik, D. G., Stumbo, M., Berke, L., Bialek, M., & Thomas, F. (2015). An automated technique for real-time production of lifelike animations of American Sign Language. Universal Access in the Information Society, 15(4), 551–566. https://doi.org/10.1007/s10209-015-0407-2

Special issue: recent advances in sign language translation and avatar technology

Universal Access in the Information Society / Jun 02, 2015

Wolfe, R., Efthimiou, E., Glauert, J., Hanke, T., McDonald, J., & Schnepp, J. (2015). Special issue: recent advances in sign language translation and avatar technology. Universal Access in the Information Society, 15(4), 485–486. https://doi.org/10.1007/s10209-015-0412-5

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Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Most Relevant Research Interests
Information Systems
Other Research Interests (43)
Statistics
Causal Inference
Network Science
Cell Biology
Molecular Biology
And 38 more
About
Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.
Most Relevant Publications (5+)

106 total publications

Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook

Information Systems Research / Dec 01, 2016

Cavusoglu, H., Phan, T. Q., Cavusoglu, H., & Airoldi, E. M. (2016). Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook. Information Systems Research, 27(4), 848–879. https://doi.org/10.1287/isre.2016.0672

A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks

Information Systems Research / Mar 01, 2019

Bhattacharya, P., Phan, T. Q., Bai, X., & Airoldi, E. M. (2019). A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks. Information Systems Research, 30(1), 117–132. https://doi.org/10.1287/isre.2018.0790

Confidence sets for network structure

Statistical Analysis and Data Mining / Sep 09, 2011

Airoldi, E. M., Choi, D. S., & Wolfe, P. J. (2011). Confidence sets for network structure. Statistical Analysis and Data Mining, 4(5), 461–469. https://doi.org/10.1002/sam.10136

Network sampling and classification: An investigation of network model representations

Decision Support Systems / Jun 01, 2011

Airoldi, E. M., Bai, X., & Carley, K. M. (2011). Network sampling and classification: An investigation of network model representations. Decision Support Systems, 51(3), 506–518. https://doi.org/10.1016/j.dss.2011.02.014

An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains

Decision Support Systems / Apr 01, 2011

Airoldi, E. M., Bai, X., & Malin, B. A. (2011). An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains. Decision Support Systems, 51(1), 10–20. https://doi.org/10.1016/j.dss.2010.11.014

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Jeffrey Townsend

New Haven, CT
Professor of Biostatistics and Ecology & Evolutionary Biology
Most Relevant Research Interests
Information Systems
Other Research Interests (52)
Evolutionary Genomics
Microbiology
Infectious Diseases
Genetics
Cell Biology
And 47 more
About
Jeffrey Townsend is a Professor of Organismic and Evolutionary Biology at Yale University. He received his Ph.D. from Harvard University in 2002 and his Sc.B. from Brown University in 1994. He has been a teacher at St. Ann's School and an Assistant Professor at the University of Connecticut. He is currently the Elihu Professor of Biostatistics at Yale University.
Most Relevant Publications (3+)

207 total publications

Identifying modules of cooperating cancer drivers

Molecular Systems Biology / Mar 01, 2021

Klein, M. I., Cannataro, V. L., Townsend, J. P., Newman, S., Stern, D. F., & Zhao, H. (2021). Identifying modules of cooperating cancer drivers. Molecular Systems Biology, 17(3). Portico. https://doi.org/10.15252/msb.20209810

Bringing Web 2.0 to bioinformatics

Briefings in Bioinformatics / Oct 08, 2008

Zhang, Z., Cheung, K.-H., & Townsend, J. P. (2008). Bringing Web 2.0 to bioinformatics. Briefings in Bioinformatics, 10(1), 1–10. https://doi.org/10.1093/bib/bbn041

A Bayesian method for analysing spotted microarray data

Briefings in Bioinformatics / Jan 01, 2005

Meiklejohn, C. D., & Townsend, J. P. (2005). A Bayesian method for analysing spotted microarray data. Briefings in Bioinformatics, 6(4), 318–330. https://doi.org/10.1093/bib/6.4.318

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Jim Samuel

Associate Professor at Rutgers University
Most Relevant Research Interests
Information Systems
Other Research Interests (21)
Analytics
Artificial Intelligence
Informatics
Machine Learning
NLP NLU NLG Behavioral Finance
And 16 more
About
Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Bloustein School. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel’s primary research covers human intelligence and artificial intelligences interaction and information philosophy.  Dr. Samuel’s applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias. Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College – City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 
Most Relevant Publications (5+)

44 total publications

Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data

Journal of Information Technology / Feb 24, 2023

Fast, V., Schnurr, D., & Wohlfarth, M. (2023). Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data. Journal of Information Technology, 026839622211143. https://doi.org/10.1177/02683962221114394

Customized AI Readers: An Adaptive Framework for Flexible Human Handwriting Recognition of Numerical Digits with OCR Methods

Information / May 26, 2023

Jain, P. H., Kumar, V., Samuel, J., Singh, S., Mannepalli, A., & Anderson, R. (2023). Customized AI Readers: An Adaptive Framework for Flexible Human Handwriting Recognition of Numerical Digits with OCR Methods. Information, 14(6), 305. https://doi.org/10.3390/info14060305

Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations

International Journal of Information Management / Aug 01, 2022

Samuel, J., Kashyap, R., Samuel, Y., & Pelaez, A. (2022). Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations. International Journal of Information Management, 65, 102505. https://doi.org/10.1016/j.ijinfomgt.2022.102505

Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content generation

Decision Support Systems / May 01, 2021

Garvey, M. D., Samuel, J., & Pelaez, A. (2021). Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content generation. Decision Support Systems, 144, 113497. https://doi.org/10.1016/j.dss.2021.113497

COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

Information / Jun 11, 2020

Samuel, J., Ali, G. G. Md. N., Rahman, Md. M., Esawi, E., & Samuel, Y. (2020). COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification. Information, 11(6), 314. https://doi.org/10.3390/info11060314

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Dr Leandra Jordaan

I work at the intersection of information, wise judgement, and the social reality of people.
Most Relevant Research Interests
Information Systems
Other Research Interests (8)
Phronesis
Ethnography
Organisational research
Information architecture
Communication and Resource Optimization
And 3 more
About
I am an ICT and IS expert with experience in higher education support services, championing various complex projects, programmes and frameworks to improve cross-disciplinary communication, optimize the use of available resources, and ensure an excellent user experience when accessing information across all digital platforms. Servant leadership, organizational acumen, and innovative/analytical problem-solving combined with extensive ICT expertise and a blend of other relevant disciplines, equip me with a unique perspective to design and implement effective solutions where people and information converge. Professional Focus: Adding measurable value to any organisation seeking to navigate the complex and rapidly evolving landscape of digital transformation, implementing frameworks for effective communication, increased synergy, and organizational success through the resulting innovation.

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Catherine Tucker

Advertising & Economics Professor at MIT
Most Relevant Research Interests
Information Systems
Other Research Interests (23)
Marketing
Economics
Regulation
IT
Economics and Econometrics
And 18 more
About
Catherine Tucker is a Professor of Economics and Data Science at the Massachusetts Institute of Technology. She is also a member of the MIT Sloan School of Management's faculty. She is a world-renowned expert in the fields of big data, machine learning, and consumer behavior. She has worked extensively on the use of data science to improve public policy and has been a consultant to government agencies and businesses around the world. In addition to her academic work, she is a popular speaker and has been featured in many media outlets, including The Economist, The New York Times, The Wall Street Journal, and Wired.
Most Relevant Publications (1+)

94 total publications

Active Social Media Management: The Case of Health Care

Information Systems Research / Mar 01, 2013

Miller, A. R., & Tucker, C. (2013). Active Social Media Management: The Case of Health Care. Information Systems Research, 24(1), 52–70. https://doi.org/10.1287/isre.1120.0466

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Balamurugan Tangiisuran

Boston, Massachusetts, United States of America
Associate Professor in Clinical Pharmacy at Universiti Sains Malaysia
Most Relevant Research Interests
Information Systems
Other Research Interests (51)
Geriatrics
Pharmacy
Internal Medicine
Psychiatry and Mental health
Clinical Psychology
And 46 more
About
Dr. Bala brings a wealth of knowledge and expertise to his role as an Associate Professor in Clinical Pharmacy at the School of Pharmaceutical Sciences, USM. He has a proven track record of success in his field, having held key leadership positions such as Director at the Malaysian National Poison Centre and Program Chairman (Clinical Pharmacy) at the School of Pharmaceutical Sciences, USM. He holds a Bachelor of Pharmacy from USM and a PhD from Brighton and Sussex Medical School, UK. Additionally, he has been appointed as Visiting Senior Lecturer at King's College London and as a Fellow of the WHO Collaborating Centre for Drug Information at the National Poison Centre. <br> Bala's research focuses on the areas of clinical pharmacy practice and medication safety, as well as geriatric pharmacy. He has published more than 50 peer-reviewed journal articles/abstracts and has been invited as a guest speaker at numerous international and domestic scientific events. He is an experienced internal and external examiner for over 40 PhD and Master thesis and has actively reviewed manuscripts for international academic journals. Bala's teaching activities encompass both undergraduate and postgraduate-level instruction, and he has supervised the research of numerous postgraduate students. He is committed to curriculum development and has implemented innovative and interactive teaching methods to improve student learning outcomes. He has successfully graduated 24 students, including 4 PhDs, 4 MSc, and 16 Master in Clinical Pharmacy. He is dedicated to producing sustainable pharmacy education and closing the knowledge transfer gap for students. If you're interested in Clinical Pharmacy, Geriatric pharmacy, Medication Safety, Research and Education, feel free to connect and exchange ideas.
Most Relevant Publications (1+)

78 total publications

Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust

International Journal of Information Management / Jun 01, 2017

Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002

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Suhang Wang

Professor at Pennsylvania State University
Most Relevant Research Interests
Information Systems
Other Research Interests (20)
Machine learning
Graph Mining
Theoretical Computer Science
Information Systems and Management
Computer Science Applications
And 15 more
About
Dr. Suhang Wang is an Assistant Professor of Computer Science and Engineering at Pennsylvania State University. He received his PhD in Computer Science from Arizona State University in 2018, and his Master's degree in Electrical Engineering: Systems from the University of Michigan in 2013. Before joining Penn State, Dr. Wang was a postdoctoral researcher at the University of California, Santa Barbara. His research interests include natural language processing, artificial intelligence, and machine learning. He was recognized for his work at the International Conference on Knowledge Discovery and Data Mining in 2017 and the Fifth ACM International Conference on Web Search and Data Mining in 2016.
Most Relevant Publications (4+)

92 total publications

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

Big Data / Jun 01, 2020

Shu, K., Mahudeswaran, D., Wang, S., Lee, D., & Liu, H. (2020). FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media. Big Data, 8(3), 171–188. https://doi.org/10.1089/big.2020.0062

Exploring Hierarchical Structures for Recommender Systems

IEEE Transactions on Knowledge and Data Engineering / Jun 01, 2018

Wang, S., Tang, J., Wang, Y., & Liu, H. (2018). Exploring Hierarchical Structures for Recommender Systems. IEEE Transactions on Knowledge and Data Engineering, 30(6), 1022–1035. https://doi.org/10.1109/tkde.2018.2789443

Facilitating Time Critical Information Seeking in Social Media

IEEE Transactions on Knowledge and Data Engineering / Oct 01, 2017

Ranganath, S., Wang, S., Hu, X., Tang, J., & Liu, H. (2017). Facilitating Time Critical Information Seeking in Social Media. IEEE Transactions on Knowledge and Data Engineering, 29(10), 2197–2209. https://doi.org/10.1109/tkde.2017.2701375

Self-Supervised learning for Conversational Recommendation

Information Processing &amp; Management / Nov 01, 2022

Li, S., Xie, R., Zhu, Y., Zhuang, F., Tang, Z., Zhao, W. X., & He, Q. (2022). Self-Supervised learning for Conversational Recommendation. Information Processing &amp; Management, 59(6), 103067. https://doi.org/10.1016/j.ipm.2022.103067

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Dr. Haikun Huang, Ph.D.

Chief Technology Officer at Great Victory Legends
Most Relevant Research Interests
Information Systems
Other Research Interests (25)
Computational Design
Graphics
Vision
VR/AR/MR
Cognitive Science.
And 20 more
About
Dr. Haikun Huang holds a Ph.D. in Computer Science from UMass Boston and is a postdoctoral research fellow at George Mason University. His graduation thesis was titled AI-driven Computational Design Tools For Synthesizing Human-centric Design and won the Umass Boston year's graduate program award. With a strong background in AR/VR/MR, computational design, graphics, HCI, and vision, he is passionate about applying artificial intelligence techniques to create innovative 3D content creation tools and virtual experiences.   Dr. Huang has published his research in prestigious conferences such as IEEE VR and ACM CHI, and his work has been recognized with a Best Paper Honorable Mention Award at CHI 2019. He is also an active reviewer for IEEE VR and CHI, contributing to advancing these fields. From 2017 to 2023, he has successfully published 21 papers, which have been cited more than 470 times. In the first half of 2023 alone, it was cited more than 180 times. At the same time, his h-index is 12, and i10-index is 15.   In addition to his academic achievements, he has years of industry experience, particularly in the game development sector. He has also been a columnist for popular game development forums in China, where he shared his expertise and insights with fellow developers.   He has also served as a teaching assistant for various computer science courses, including Computer Games Programming, Computer Vision, Programming in C, and (Computer Architecture and Organization at UMB. These experiences have allowed him to hone his teaching skills and effectively communicate complex concepts to students.   As a co-founder and CTO of Great Victory Legends, he gained valuable experience leading technical teams and developing cutting-edge solutions. He is confident in bringing this expertise into the classroom and providing students with a comprehensive understanding of the subject matter.   He also runs his studio as a freelance and sells the tools on Unity Asset Store. The tools he develops are all about practical tools to improve development efficiency. UPython 3 Pro is his masterpiece. It provides real-time communication between Unity and Python. It was used in the research projects he was involved in. AR/VR researchers deeply love it.
Most Relevant Publications (1+)

34 total publications

Physiological responses and enjoyment of Kinect-based exergames in older adults at risk for falls: A feasibility study

Technology and Health Care / Jul 23, 2019

Ogawa, E., Huang, H., Yu, L.-F., & You, T. (2019). Physiological responses and enjoyment of Kinect-based exergames in older adults at risk for falls: A feasibility study. Technology and Health Care, 27(4), 353–362. https://doi.org/10.3233/thc-191634

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Anna Jobin

Researcher at Alexander von Humboldt Institute for Internet and Society
Most Relevant Research Interests
Information Systems
Other Research Interests (20)
sciene & technology
digital ethics
artificial intelligence
Computer Networks and Communications
Hardware and Architecture
And 15 more
About
Anne Jobin is a Swiss sociologist and researcher who specializes in the areas of science, technology, and society (STS). She holds a Doctor of Social Sciences from Université de Lausanne, and has been a visiting research scholar at Tufts University and Cornell University. She is currently a researcher at the (ETH) and the École Polytechnique Fédérale de Lausanne.
Most Relevant Publications (1+)

31 total publications

Online Evaluation of Creativity and the Arts. Hiesun Cecilia Suhr (ed.).

Digital Scholarship in the Humanities / Jul 09, 2015

Jobin, A. (2015). Online Evaluation of Creativity and the Arts. Hiesun Cecilia Suhr (ed.). Digital Scholarship in the Humanities, 30(4), 609–611. https://doi.org/10.1093/llc/fqv024

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Anindya Ghose

Heinz Riehl Chair Professor of Business, NYU Stern
Most Relevant Research Interests
Information Systems
Other Research Interests (21)
Data Science
Mobile
Data Privacy
Digital Marketing
Digital Platforms
And 16 more
About
Dr. Anindya Ghose is the Heinz Riehl Chair Professor of Business at New York University Stern School of Business. His research interests are in the areas of IT-enabled platforms, services and products, including mobile apps, social media, digital marketplaces, and big data analytics. He has also done work on understanding consumer behavior in digital environments. He has published over 130 papers in academic journals and has been honored with several best paper awards. He has also served on the editorial boards of several journals, including Management Science, Information Systems Research, and MIS Quarterly. He is a Fellow of the Institute for Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM).
Most Relevant Publications (22+)

86 total publications

Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets

Information Systems Research / Sep 01, 2008

Forman, C., Ghose, A., & Wiesenfeld, B. (2008). Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets. Information Systems Research, 19(3), 291–313. https://doi.org/10.1287/isre.1080.0193

Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics

IEEE Transactions on Knowledge and Data Engineering / Oct 01, 2011

Ghose, A., & Ipeirotis, P. G. (2011). Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1498–1512. https://doi.org/10.1109/tkde.2010.188

An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets

Information Systems Research / Sep 01, 2013

Burtch, G., Ghose, A., & Wattal, S. (2013). An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets. Information Systems Research, 24(3), 499–519. https://doi.org/10.1287/isre.1120.0468

How Is the Mobile Internet Different? Search Costs and Local Activities

Information Systems Research / Sep 01, 2013

Ghose, A., Goldfarb, A., & Han, S. P. (2013). How Is the Mobile Internet Different? Search Costs and Local Activities. Information Systems Research, 24(3), 613–631. https://doi.org/10.1287/isre.1120.0453

Cultural Differences and Geography as Determinants of Online Prosocial Lending

MIS Quarterly / Jan 01, 2014

Burtch, G., Ghose, A., & Wattal, S. (2014). Cultural Differences and Geography as Determinants of Online Prosocial Lending. MIS Quarterly, 38(3), 773–794. https://doi.org/10.25300/misq/2014/38.3.07

The Economic Incentives for Sharing Security Information

Information Systems Research / Jun 01, 2005

Gal-Or, E., & Ghose, A. (2005). The Economic Incentives for Sharing Security Information. Information Systems Research, 16(2), 186–208. https://doi.org/10.1287/isre.1050.0053

Internet Exchanges for Used Books: An Empirical Analysis of Product Cannibalization and Welfare Impact

Information Systems Research / Mar 01, 2006

Ghose, A., Smith, M. D., & Telang, R. (2006). Internet Exchanges for Used Books: An Empirical Analysis of Product Cannibalization and Welfare Impact. Information Systems Research, 17(1), 3–19. https://doi.org/10.1287/isre.1050.0072

Internet Exchanges for Used Goods: An Empirical Analysis of Trade Patterns and Adverse Selection

MIS Quarterly / Jan 01, 2009

Ghose. (2009). Internet Exchanges for Used Goods: An Empirical Analysis of Trade Patterns and Adverse Selection. MIS Quarterly, 33(2), 263. https://doi.org/10.2307/20650292

Internet's Dirty Secret: Assessing the Impact of Online Intermediaries on HIV Transmission

MIS Quarterly / Apr 04, 2014

Chan, J., & Ghose, A. (2014). Internet’s Dirty Secret: Assessing the Impact of Online Intermediaries on HIV Transmission. MIS Quarterly, 38(4), 955–976. https://doi.org/10.25300/misq/2014/38.4.01

Secret Admirers: An Empirical Examination of Information Hiding and Contribution Dynamics in Online Crowdfunding

Information Systems Research / Sep 01, 2016

Burtch, G., Ghose, A., & Wattal, S. (2016). Secret Admirers: An Empirical Examination of Information Hiding and Contribution Dynamics in Online Crowdfunding. Information Systems Research, 27(3), 478–496. https://doi.org/10.1287/isre.2016.0642

Toward a Digital Attribution Model: Measuring the Impact of Display Advertising on Online Consumer Behavior

MIS Quarterly / Apr 04, 2016

Ghose, A., & Todri-Adamopoulos, V. (2016). Toward a Digital Attribution Model: Measuring the Impact of Display Advertising on Online Consumer Behavior. MIS Quarterly, 40(4), 889–910. https://doi.org/10.25300/misq/2016/40.4.05

The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms

Information Systems Research / Sep 01, 2018

Adamopoulos, P., Ghose, A., & Todri, V. (2018). The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms. Information Systems Research, 29(3), 612–640. https://doi.org/10.1287/isre.2017.0768

The Internet and Racial Hate Crimes: Offline Spillovers from Online Access

MIS Quarterly / Feb 02, 2016

Chan, J., Ghose, A., & Seamans, R. (2016). The Internet and Racial Hate Crimes: Offline Spillovers from Online Access. MIS Quarterly, 40(2), 381–403. https://doi.org/10.25300/misq/2016/40.2.05

Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets

Information Systems Research / Jun 01, 2011

Ghose, A., & Yao, Y. (2011). Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets. Information Systems Research, 22(2), 269–288. https://doi.org/10.1287/isre.1090.0252

The Impact of Internet Referral Services on a Supply Chain

Information Systems Research / Sep 01, 2007

Ghose, A., Mukhopadhyay, T., & Rajan, U. (2007). The Impact of Internet Referral Services on a Supply Chain. Information Systems Research, 18(3), 300–319. https://doi.org/10.1287/isre.1070.0130

Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel

Information Systems Research / Mar 01, 2020

Todri, V., Ghose, A., & Singh, P. V. (2020). Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel. Information Systems Research, 31(1), 102–125. https://doi.org/10.1287/isre.2019.0877

The Digital Sin City: An Empirical Study of Craigslist’s Impact on Prostitution Trends

Information Systems Research / Mar 01, 2019

Chan, J., Mojumder, P., & Ghose, A. (2019). The Digital Sin City: An Empirical Study of Craigslist’s Impact on Prostitution Trends. Information Systems Research, 30(1), 219–238. https://doi.org/10.1287/isre.2018.0799

Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps

Information Systems Research / Mar 01, 2019

Ghose, A., Kwon, H. E., Lee, D., & Oh, W. (2019). Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps. Information Systems Research, 30(1), 154–174. https://doi.org/10.1287/isre.2018.0792

Empowering Patients Using Smart Mobile Health Platforms: Evidence of a Randomized Field Experiment

MIS Quarterly / Feb 15, 2022

Ghose, A., Guo, X., Li, B., & Dang, Y. (2022). Empowering Patients Using Smart Mobile Health Platforms: Evidence of a Randomized Field Experiment. MIS Quarterly, 46(1), 151–192. https://doi.org/10.25300/misq/2022/16201

A Structural Analysis of the Role of Superstars in Crowdsourcing Contests

Information Systems Research / Mar 01, 2019

Zhang, S., Singh, P. V., & Ghose, A. (2019). A Structural Analysis of the Role of Superstars in Crowdsourcing Contests. Information Systems Research, 30(1), 15–33. https://doi.org/10.1287/isre.2017.0767

Research Commentary—Sponsored Search and Market Efficiency

Information Systems Research / Dec 01, 2010

Dhar, V., & Ghose, A. (2010). Research Commentary—Sponsored Search and Market Efficiency. Information Systems Research, 21(4), 760–772. https://doi.org/10.1287/isre.1100.0315

Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process

Information Systems Research / Mar 01, 2021

Adamopoulos, P., Todri, V., & Ghose, A. (2021). Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process. Information Systems Research, 32(1), 238–267. https://doi.org/10.1287/isre.2020.0962

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Example information systems projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on information systems?

Optimizing Supply Chain Management

An academic researcher in Information Systems can help companies optimize their supply chain management processes. By analyzing data and implementing advanced algorithms, researchers can identify bottlenecks, reduce costs, and improve overall efficiency.

Enhancing Cybersecurity Measures

With the increasing threat of cyber attacks, companies can benefit from collaborating with an academic researcher in Information Systems to enhance their cybersecurity measures. Researchers can develop innovative solutions, conduct vulnerability assessments, and provide recommendations to strengthen the company's security infrastructure.

Implementing Data Analytics Strategies

Data analytics is crucial for companies to make informed business decisions. An academic researcher in Information Systems can help companies implement data analytics strategies by developing predictive models, analyzing large datasets, and providing insights that can drive business growth.

Designing User-Friendly Interfaces

User experience is a key factor in the success of digital products and services. By collaborating with an academic researcher in Information Systems, companies can benefit from expertise in designing user-friendly interfaces. Researchers can conduct usability studies, gather user feedback, and optimize the user experience to enhance customer satisfaction.

Integrating Emerging Technologies

Emerging technologies such as artificial intelligence, blockchain, and Internet of Things (IoT) have the potential to transform industries. Academic researchers in Information Systems can help companies explore and integrate these technologies into their existing systems, enabling them to innovate and gain a competitive edge.