Center for Business Analytics

Center for Business Analytics
Western Michigan University
Kalamazoo MI 49008-5412 USA
(269) 387-5410

Research

  • Chen, K., Tsai, C.F., Hu, Y.H. & Hu, C.W. (2024). The Effect of Review Visibility and Diagnosticity on Review Helpfulness – An Accessibility-Diagnosticity Theory Perspective, Decision Support Systems, 178, 114145, 1-12.
    *Machine learning, natural language processing.
  • Cheng, L. & Chen, K. (2022). Mining longitudinal user sessions with deep learning to extend the boundary of consumer priming, Decision Support Systems, 162, 113864.
    *Deep learning, natural language processing.
  • Cheng, L.C., Chen, K., Lee, M.C. & Li, K.M. (2021). User-Defined SWOT analysis – A change mining perspective on user-generated content, Information Processing and Management, 58, 1-15.
    *Machine learning, natural language processing.
  • Chen, C.C., Chen, K. & Kaleta, J. (March 26, 2021). Smart farming applications: Will farmers in Taiwan switch to the new ways of getting work done? 2021 Virtual Mini-conference and Journal of Southern Association of Information Systems (SAIS).
    *Robotics and drones.
  • Hung, S.Y. & Chen, K. (2020). The Role of Organizational Support and Problem Space Complexity on Organizational Performance – A Business Intelligence Perspective, Pacific Asia Journal of the Association for Information Systems, 12(1), DOI: 10.17705/1pais.12101.
  • Hazarika, B., Rea, A., Mousavi, R., & Chen, K. (2020). “The Impact of Social Media on Disaster Relief Effort - Recovery Coordination for Hurricane Harvey,” Global Knowledge, Memory and Communication.
  • Hung, S-H., Ou, C-S., Hu, Y-H., Chen, K. & Lu, C-C. (2013). The Influence of Information Technology Investment on Business Performance: A Comparative Study of Regression Analysis and Artificial Neural Networks, Pacific Asia Journal of the Association for Information Systems (PAJAIS), 5(4), 27-59.
    *AI methodology, Machine learning.
  • Aiken, M. & Hazarika, B. (2012). Evaluation and revision of translation-mediated communication in a multilingual electronic meeting, International Journal of Business and Systems Research, 6(4), 379-394.
  • Hung, S.-Y., Kang, T.-C., Yen, D., Huang, A. & Chen, K. (2012). A cross-cultural analysis of communication tools and communication outcomes, Journal of Global Information Management, 20(3), 55-83.
  • Chen, K., Yen, D.C., Hung, S.-Y., & Huang, A.H. (2008). An exploratory study on the selection of communication media: The relationship between flow and outcome, Decision Support Systems, 45(5), 822-832.
  • Chen, K. (2008). Digital Watermarking and Steganography, In M. Pagani (Eds.), Encyclopedia of Multimedia Technology and Networking, 2nd edition, pp. 402-409.
    *Image processing.
  • Chen, K. (2005). Information Hiding, Digital Watermarking, and Steganography. In M. Pagani (Eds.), Encyclopedia of Multimedia Technology and Networking, pp. 382-389.
    *Image processing.
  • Chen, K., & Gorla, N. (1998). Information system project selection using fuzzy logic.  IEEE Transactions on Systems, Man and cybernetics – Part A: Systems and Humans, 28(6), 849-855.
    *AI methodology.
  • Mousavi, R., Chen, R., Kim, D. & Chen, K. (2020). Effectiveness of privacy assurance mechanisms in users' privacy protection on social networking sites from the perspective of protection motivation theory, Decision Support Systems, 135, 113323, 1-14.
  • Bhattacherjee, A., & Shrivastava, U. (2018). The effects of ICT use and ICT Laws on corruption: A general deterrence theory perspective. Government Information Quarterly, 35(4), 703–712.
  • Shrivastava, U., & Mohammed, T. (2017). A CYBERSECURITY EXECUTIVE DBA? Cybersecurity Discussion Cases, 265.
  • Mohammed, T., Shrivastava, U., Das, A. K., & Nguyen, Q. T. (2017). Grandon. Com Got Hacked! Journal of Information Technology Education: Discussion Cases, 6(1), 1–25.
  • Shrivastava, U., & Bhattacherjee, A. (2015). ICT as a corruption deterrent: A research note. Proceedings of the Seventh International Conference on Information and Communication Technologies and Development, 1–5.
  • Liao, C., Liu, C., & Chen, K. (2011). Examining the impact of privacy, trust and risk perceptions beyond monetary transactions: An integrated model, Electronic Commerce Research and Applications, 10(6), 702-715.
  • Rea, A., & Chen, K. (2008). Privacy control and assurance: Does gender influence online information exchange? In Chen, K. and Fadlalla, A. (Eds.), Online Consumer Protection: Theories of Human Relativism, pp. 165-189.
  • Chen, K., & Rea, A., Jr. (2004). Protecting personal information online: A survey of user privacy concerns and control techniques, Journal of Computer Information Systems, XLIV(4), 85-92.
  • Chen, K., Marić, J. & Hu, Y.H. (2025). Servitization in the service industry – AI-empowered opportunities for innovation in the bike rental business, Journal of Enterprise Information Management (forthcoming).
    *Machine learning.
  • Hu, Y.H., Liu, T.H., Chen, K. & Yeh, F.C. (2025). Leveraging meta-path and co-attention to model consumer preference stability in fashion recommendations, Decision Support Systems, 194, 114455.
    *Deep learning, natural language processing.
  • Chen, K., Tsai, C.F., Hu, Y.H. & Hu, C.W. (2024). The Effect of Review Visibility and Diagnosticity on Review Helpfulness – An Accessibility-Diagnosticity Theory Perspective, Decision Support Systems, 178, 114145, 1-12.
    *Machine learning, natural language processing.
  • Chen, K., Cheng, L.C., Ye, M.Y. & Wang, J.H. (2023). A Graph Neural Network Approach to Detect Original Review Spammers of Astroturfing Campaigns, Electronic Commerce Research and Applications, 62, 101326.
    *Natural language processing.
  • Weinandy, T.J., Chen, K., Ryan, M. & Pozo, S. (2023). Twitter-Patter: How Social Media Drives Foot Traffic to Retail Stores, Journal of Marketing Analytics, 1-19.
    *Machine learning, natural language processing.
  • Mousavi, R., Hazarika, B., Chen, K. & Razi, M. (2021). The Effect of Online Q&As and Product Reviews on Product Performance Metrics: Amazon.com as a Case Study, Journal of Information & Knowledge Management, 20(1), article 2150005.
    *Natural language processing.
  • Hazarika, B., Chen, K. & Razi, M. (2021). Are numeric ratings true representations of reviews? A study of inconsistency between reviews and ratings, International Journal of Business Information Systems, 38(1), 85-106.
    *Natural language processing.
  • Tsai, C.F., Chen, K., Hu, Y.H. & Chen, W.K. (2020). Improving Text Summarization of Online Hotel Reviews with Review Helpfulness and Sentiment, Tourism Management, 80, article 104122, 1-13.
    *Machine learning, natural language processing.
  • Mousavi, R., Koohikamali, M. Salehan, M. & Kim, D.J. (2020). An Investigation of Peripheral and Central Cues of Online Customer Review Voting and Helpfulness through the Lens of Elaboration Likelihood Model, Information Systems Frontiers, https://doi.org/10.1007/s10796-020-10069-6.
    *Natural language processing.
  • Hu, Y.-H., Chen, K. & Lee, P.-J. (2017). The effect of user-controllable filters on the prediction of online hotel reviews, Information & Management, 54(6), 728-744.
    *Machine learning, natural language processing.
  • Hu, Y.-H. & Chen, K. (2016). Predicting hotel review helpfulness: the impact of review visibility, and interaction between hotel stars and review ratings, International Journal of Information Management, 36, 929-944.
    *Machine learning, natural language processing.
  • Huang, A., Chen, K., Yen, D. & Tran, T. (2015). A study of factors that contribute to online review helpfulness, Computers in Human Behavior, 48, 17-27.
    *Natural language processing.
  • Mousavi, R., Koohikamali, M. & Salehan, M. (2015). Antecedents of Online Customers Reviews’ Helpfulness: A Support Vector Machine Approach, Twenty-first Americas Conference on Information Systems, Puerto Rico, 2015.
    *Maching learning, natural language processing.
  • Chen, K., Hu, Y.H. & Hsieh, Y.C. (2014). Predicting Customer Churn from Valuable B2B Customers in Logistic Industry: A case study, Information Systems and e-Business Management, 13(3), 475-494.
    *Machine learning.
  • Chen, K. (2025). Knowledge assessment in the age of Generative AI. In J. Paliszkiewicz, J. Gołuchowski, M.Mądra - Sawicka, K.Chen. (Eds). Building trust in the generative artificial intelligence era: technology challenges and innovations, 102-112.
    *General AI topics.
  • Shao, Z. & Chen, K. (2021). Understanding Individuals' Engagement and Continuance Intention of MOOCs: The Effect of Interactivity and the Role of Gender, Internet Research, 31(4), 1262-1289.
  • Rienzo, T. & Chen, K. (2018). Planning for low-end analytics disruption in business school curricula, Decision Sciences Journal of Innovative Education, 16(1), 23-41.
  • Chen, K. & San Migual, P. (2011). Learning continuance of accounting information systems – an exception-confirmation perspective, International Journal of Information Systems and Change Management, 5(4), 335-347.
  • Chen, K., Razi, M., & Rienzo, T. (2011). Intrinsic factors for continued ERP learning – A precursor to inter-disciplinary ERP curriculum design, Decision Sciences Journal of Innovative Education, 9(2), 149-176.
  • Chen, K., Razi, M., & Tarn, J.M. (2009). Empirical assessment of ERP learning effects, Human Systems Management, 28(4), 183-192.
  • Tarn, J.M., & Chen, K. (2006). Mobile technology as a learning object and an exploration tool in an IS curriculum: An innovative instruction of wireless network security, IEEE Transactions on Education, 49(2), 193-198.
  • Hu, Y.J., Chen, K., Yuan, Q.J. (2025). Navigating the Effects of Multiple Signals: Evidence from an Online Physician Consultation Platform, Internet Research (forthcoming).
  • Song, J., & Xu, P. (2023). Healthier together: Social support, self-regulation and goal management for chronic conditions in online health communities. Information & Management, 60(7), 103830.
  • Shrivastava, U., Hazarika, B., & Rea, A. (2021). Restoring clinical information system operations post data disaster: The role of IT investment, integration and interoperability. Industrial Management & Data Systems.
  • Shrivastava, U., Song, J., Han, B., and Dietzman, D. (2021) Do data security measures, privacy regulations, and communication standards impact the interoperability of patient health information? A cross-country investigation. International Journal of Medical Informatics. 148(104401).
  • Hu, Y.H., Chen, K., Chang, I.C. & Shen, C.C. (2020). A longitudinal study of critical predictors for early detection of conversion from unipolar major depressive disorder to bipolar disorder: A nationwide population-based retrospective cohort study, JMIR Medical Informatics, 8(4), e1428. DOI: 10.2196/14278.
    *Machine learning.
  • Song, J., Xu, P., and Paradice, D.B. (2020). Health Goal Attainment of Chronic Diseases in Social Media-Enabled Patient Communities: An Approach of Survival Analysis. Journal of Medical Internet Research. 22(9), e19895.
  • Sung, S.F., Chen, K., Wu, D.P., Hung, L.C., Su, Y.H. & Hu, Y.H. (2018). Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study, International Journal of Medical Informatics, 112, 149-157.
    *Machine learning, natural language processing.
  • Singh, V. K., Shrivastava, U., Bouayad, L., Padmanabhan, B., Ialynytchev, A., & Schultz, S. K. (2018). Machine learning for psychiatric patient triaging: An investigation of cascading classifiers. Journal of the American Medical Informatics Association, 25(11), 1481–1487.
    *Machine learning.
  • Hung, W.-H., Chen, K., & Lin, C.-P. (2014). Does the proactive personality mitigate the adverse effect of technostress on productivity in the mobile environment? Telematics and Informatics, 32(1), 143-157.
  • Shrivastava, U., Prakash, G., & Dhar, J. (2014). Extreme value theory and neural network for catastrophic fall prediction: A study of year 2008–2009. International Journal of Information and Decision Sciences, 6(2), 193–210.
    *Machine learning.
  • Shiau, W.L., Shih, C.H., Lin, C.L., Jiang, S.Z., Dwivedi, Y.K., Yu, W.P. & Chen, K. (2025). Exploring Core Knowledge in Mobile Payment Research, Journal of Organizational and End User Computing, 37(1), 1-38.
  • Hung, S.Y., Tsai, J., Chen, K., Chen, C. & Yeh, T.T. (2024). Tacit Knowledge Sharing in Information Systems Development Projects: Social Interdependence and Regulatory Focus Perspectives, Information Technology & People, 37(4), 1449-1477
  • Paliszkiewicz, J., Chen, K & Goluchowski, J. (2023). Privacy, Trust and Social Media, Routledge, ISBN 9781032437491.
  • Shao, Z., Zhang, L., Chen, K. & Zhang, C., (2020). Examining user satisfaction and stickiness in social networking sites from a technology affordance lens, Industrial management & Data Systems, 120(7), 1331-1360.
  • Hung, S.Y., Chen, K. & Su, Y.K. (2020). The effect of communication and social motives on E-government services through social media groups, Behaviour & Information Technology, 39, 741-757.
  • Chen, K. & Rea, A. (2018). Do pair programming approaches transcend coding? Measuring agile attitudes in diverse information systems courses, Journal of Information Systems Education, 29(2), 53-64.
  • Chang, I-C, Liu, C.-C., & Chen, K. (2014). The Push, Pull and Mooring (PPM) Effects in Virtual Migration for Social Networking Sites, Information Systems Journal, 24(4), 323-346.
  • Hung, S.-Y., Chang, C.-M., Chen, K., Tang, K.-Z., & Chou, C.-H. (2011). Buyer acceptance of G2B e-government services: An empirical study of inter-entity supply contracts, DATA BASE for Advances in Information Systems, 42(4), 81-97.
  • Zhang, L., Shao, Z. Zhao, T. & Chen, K. (2025). The influences of four dimensions of perceived fit on individuals’ utilization of SPOCs: An extension of the task-technology fit model, Behaviour & Information Technology, 44(3), 611-629.
  • Shiau, W.L., Chen, H., Chen, K., Liu, Y.H. & Tan, F.T.C. (2021). A cross-cultural perspective on the blended service quality for ride-sharing continuance, Journal of Global Information Management, 29(6), 1-25.
    *Deep learning, natural language processing.
  • Mousavi, R., Hazarika, B., Chen, K. & Rienzo, T. (2021). The Role of Dissonance Reduction and Co-Creation Strategies in Shaping Smart Service Satisfaction – The Case of Uber, Behaviour & Information Technology, published online on July 20, 2020.
  • Hazarika, B., Mousavi, R. & Tarn, M. (2019). A comparison of hedonic and utilitarian digital products based on consumer evaluation and technology frustration, JISTEM-Journal of Information Systems and Technology Management, 16. e201916008.
  • Hazarika, B., Gerlach, J. & Cunningham, L. (2018). The Role of Service Recovery in Online Privacy Violation, International Journal of E-Business Research (IJEBR) 14 (4), 1-27.
    *Machine learning, natural language processing.
  • Chang, M-Y., Chen, K., Pang, C., Chen, C.-M. & Yen, D. (2013). A study on the effects of service convenience and service quality on maintenance revisit intentions, Computer Standards and Interfaces, 35(2), 187-194.
  • Shiau, W.L., Shih, C.H., Lin, C.L., Jiang, S.Z., Dwivedi, Y.K., Yu, W.P. & Chen, K. (2025). Exploring Core Knowledge in Mobile Payment Research, Journal of Organizational and End User Computing, 37(1), 1-38.
  • Chen, K., Golhar, D.Y. & Banerjee, S. (2021). Blockchain Applications and Challenges for Supply Chain and Industry 4.0: A Literature Review, International Journal of Applied Decision Sciences, forthcoming.
  • Song, J., Lee, K.B., Zhou, Z., Jia, L., Cegielski, C.G., and Shin, S. (2021) From the Use of Social Media to Sensing Capability: An Environmental Scanning Perspective under Supply Chain Uncertainty. Information Technology &People.
  • Shrivastava, U., Ofstein, L., & Golhar, D. (2021). Direct and Indirect Effects of ICT Infrastructure, Skills, and Use on Entrepreneurship: A Cross-Country Empirical Investigation. Journal of Global Information Management (JGIM), 29(6), 1–25.
  • Song, J., Lee, K.B., Zhou, Z., Jia, L., Cegielski, C. & Shi, S.I. (2021). Enhancing supply chain sensing capability through social media: an environmental scanning perspective, Information Technology & People, 35(1), 367-391.
  • Daneshvar Kakhki, M., & Nemati, H. R. (2020). Value-based view of firms enabled by data analytics: aligning suppliers for customer value creation. Enterprise Information Systems, 1-36.
  • Zhu, S., Song, J., Cegielski & Lee, K.B. (2017). The impact of supply chain analytics on operational supply chain transparency: An information processing view, Twenty-third Americas Conference on Information Systems, Boston, 2017 1.
  • Chen, J.V., Yen, D.C., & Chen, K. (2009). The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics, Information & Management, 46(4), 241-248.
  • Chen, K. (2025). Human-AI Symbiosis – Opportunities for Business Innovations and Worker Upskilling, In Jay Liebowitz and Peter McAlindon (Eds.). Leveraging AI for Business Innovation (forthcoming).
    *General AI topics.
  • Paliszkiewicz, J., Goluchowski, J., Mądra-Sawicka, M. & Chen, K. (2025). Building Trust in the Generative Artificial Intelligence Era, Routledge, ISBN 9781032957999.
    *General AI topics.
  • Chen, K. (2025). Knowledge assessment in the age of Generative AI. In J. Paliszkiewicz, J. Gołuchowski, M.Mądra - Sawicka, K.Chen. (Eds). Building trust in the generative artificial intelligence era: technology challenges and innovations, 102-112.
    *General AI topics.
  • Chen, K. & Pietrzak, Piotr (2025). Trust, Sustainability, and Resilience, Routledge, ISBN 9781032871059.
  • Chen, K. & Paliszkiewicz, J. (2024). Swift Trust in the Age of AI. In J. Paliszkiewicz  & K. Chen (Eds.), Privacy, Trust and Social Media, Routledge, 98-107.
    *General AI topics.
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