{"id":2279,"date":"2020-02-25T14:38:44","date_gmt":"2020-02-25T21:38:44","guid":{"rendered":"https:\/\/blogs.ubc.ca\/genemoolee\/?p=2279"},"modified":"2025-12-04T12:10:01","modified_gmt":"2025-12-04T19:10:01","slug":"is-papers-in-big-data-analytics","status":"publish","type":"post","link":"https:\/\/blogs.ubc.ca\/genemoolee\/2020\/02\/25\/is-papers-in-big-data-analytics\/","title":{"rendered":"IS Papers on Big Data, Analytics, and AI"},"content":{"rendered":"

First published: Feb 25, 2020, Last update: Dec 4, 2025.<\/p>\n

My research involves Big Data Analytics and AI in Information Systems literature. This post tries to keep track of the editorial and seminal articles on the topic of Big Data, Data Science, Analytics, and AI in the Information Systems and Management literature. The papers are listed in chronological order:<\/p>\n

    \n
  1. Bapna, Goes, Gopal, Marsden (2006) Moving from Data-Constrained to Data-Enabled Research: Experiences and Challenges in Collecting, Validating and Analyzing Large-Scale e-Commerce Data<\/a>, Statistical Science<\/em> 21(2): 116-130.<\/li>\n
  2. Shmueli and Koppius (2011) Predictive Analytics in Information Systems Research<\/a>, MIS Quarterly<\/em> 35(3): 553-572<\/li>\n
  3. Chen, Chiang, Storey, (2012) Business Intelligence and Analytics: From Big Data to Big Impact<\/a>, MIS Quarterly<\/em> 36(4): 1164-1188<\/li>\n
  4. Lin, Lucas Jr., Shmueli (2013) Research Commentary: Too Big to Fail: Large Samples and the p-Value Problem<\/a>, Information Systems Research<\/em> 24(4): 906-917.<\/li>\n
  5. Agarwal, Dhar (2014) Editorial – Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research<\/a>, Information Systems Research<\/em> 25(3): 443-448<\/li>\n
  6. Varian (2014) Big Data: New Tricks for Econometrics<\/a>, Journal of Economic Perspectives<\/em> 28(2): 3-28<\/li>\n
  7. Goes (2014) Editor’s Comments: Big Data and IS Research<\/a>, MIS Quarterly<\/em> 38(3): iii-viii<\/li>\n
  8. AMJ Editors (2016) From the Editors: Big Data and Data Science Methods for Management Research<\/a>, Academy of Management Journal<\/em> 59(5): 1493-1507<\/li>\n
  9. Abbasi, Sarker, Chiang (2016) Big Data Research in Information Systems: Toward an Inclusive Research Agenda<\/a>, Journal of the Association for Information Systems<\/em> 17(2): i-xxxii<\/li>\n
  10. Rai (2016) Editor’s Comments: Synergies Between Big Data and Theory<\/a>, MIS Quarterly<\/em> 40(2): iii-ix<\/li>\n
  11. Baesens, Bapna, Marsden, Vanthienen, Zhao (2016) Transformational Issues of Big Data and Analytics in Networked Business<\/a>, MIS Quarterly<\/em> 40(4): 807-818<\/li>\n
  12. Athey (2017) Beyond Prediction: Using Big Data for Policy Problems<\/a>, Science<\/em> 355(6324): 483-485<\/li>\n
  13. Chiang, Grover, Liang, Zhang (2018) Special Issue: Strategic Value of Big Data and Business Analytics<\/a>, Journal of Management Information Systems<\/em> 35(2): 383-387<\/li>\n
  14. Delen, Ram (2018) Research challenges and opportunities in business analytics<\/a>, Journal of Business Analytics<\/em> 1(1): 2-12.<\/li>\n
  15. Maass, Parsons, Puraro, Storey, Woo (2018) Data-Driven Meets Theory-Driven Research in the Era of Big Data: Opportunities and Challenges for Information Systems Research<\/a>, Journal of the Association for Information Systems<\/em> 19(12): 1253-1273<\/li>\n
  16. Yang, Adomavicius, Burtch, Ren (2018) Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining<\/a>, Information Systems Research<\/em> 29(1): 4-24.<\/li>\n
  17. Berente, Seidel, Safadi (2019) Research Commentary: Data-Driven Computationally Intensive Theory Development<\/a>, Information Systems Research<\/em> 30(1), 50-64.<\/li>\n
  18. Johnson, Gray, Sarker (2019) Revisiting IS Research Practice in the Era of Big Data<\/a>, Information and Organization<\/em> 29(1): 41-56<\/li>\n
  19. Grover, Lindberg, Benbasat, Lyytinen (2020) The Perils and Promises of Big Data Research in Information Systems<\/a>, Journal of the Association for Information Systems<\/em> 21(2): 268-291.<\/li>\n
  20. Shmueli (2021) INFORMS Journal of Data Science (IJDS)<\/em> Editorial #1: What is an IJDS paper?<\/a>, INFORMS Journal of Data Science<\/em>.<\/li>\n
  21. Ram, Goes (2021) Focusing on Programmatic High Impact Information Systems Research, not Theory, to Address Grand Challenges<\/a>, MIS Quarterly<\/em> 45(1): 479-483.<\/li>\n
  22. Burton-Jones, Boh, Oborn, Padmanabhan (2021) Editor’s Comments: Advancing Research Transparency at MIS Quarterly: A Pluralistic Approach<\/a>, MIS Quarterly<\/em> 45(2): iii-xviii.<\/li>\n
  23. Berente, Gu, Recker, Santhanam (2021) Special Issue Editor’s Comments: Managing Artificial Intelligence<\/a>, MIS Quarterly<\/em> 45(3): 1433-1450.<\/li>\n
  24. Jain, Padmanabhan, Pavlou, Raghu (2021) Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society<\/a>, Information Systems Research<\/em> 32(3): 675-687.<\/li>\n
  25. Padmanabhan, Fang, Sahoo, Burton-Junes (2022) Editor’s Comments: Machine Learning in Information Systems Research<\/a>, MIS Quarterly<\/em> 46(1): iii-xix.<\/li>\n
  26. Abbasi, Parsons, Pant, Sheng, Sarker (2024) Pathways for Design Research on Artificial Intelligence<\/a>. Information Systems Research<\/em> 35(2):441-459.<\/li>\n
  27. Gopal, Ram D., Jingjing Li, Kai Riemer, Suprateek Sarker, Param Vir Singh, Anjana Susarla, Martin Bichler, Jason Bennett Thatcher (2025) Inventing with Machines: Generative AI and the Evolving Landscape of IS Research<\/a>. Information Systems Research.<\/em><\/li>\n
  28. Caro, Felipe, Jean-Edouard Colliard, Elena Katok, Axel Ockenfels, Nicolas Stier-Moses, Catherine Tucker, D. J. Wu (2025) Introduction to the Special Issue on the Human-Algorithm Connection.\u00a0Management Science<\/em>.\u00a0https:\/\/doi.org\/10.1287\/mnsc.2023.intro.v72.n1<\/a><\/li>\n<\/ol>\n

     <\/p>\n","protected":false},"excerpt":{"rendered":"

    First published: Feb 25, 2020, Last update: Dec 4, 2025. My research involves Big Data Analytics and AI in Information Systems literature. This post tries to keep track of the editorial and seminal articles on the topic of Big Data, Data Science, Analytics, and AI in the Information Systems and Management literature. The papers are […]<\/p>\n","protected":false},"author":51140,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[822902],"tags":[5015,379631,1074139,855907,318535],"class_list":["post-2279","post","type-post","status-publish","format-standard","hentry","category-teaching-materials","tag-analytics","tag-big-data","tag-data-science","tag-information-systems","tag-lecture-notes"],"_links":{"self":[{"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/posts\/2279","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/users\/51140"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/comments?post=2279"}],"version-history":[{"count":41,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/posts\/2279\/revisions"}],"predecessor-version":[{"id":4618,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/posts\/2279\/revisions\/4618"}],"wp:attachment":[{"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/media?parent=2279"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/categories?post=2279"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/tags?post=2279"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}