Academic Employment

• Boston College, Carroll School of Management, Boston, MA

7/2022–Present: Professor of Analytics (with tenure)

Mastrocola Dean’s Faculty Fellowship (2024–present)
7/2019–6/2022: Professor of Information Systems (with tenure)
    McKiernan Distinguished Fellow (2017-2021)
7/2014–6/2019: Associate Professor of Information Systems (with tenure)
7/2008–6/2014: Assistant Professor of Information Systems

Appointments

• Harvard Business School, Boston, MA

2022–2023: Visiting Scholar

• MIT Sloan Management Review, Boston, MA

2019–Present: Academic Contributing Editor
2017–Present: Guest Editor, Artificial Intelligence and Business Strategy
2014–2018: Guest Editor, Data and Analytics

• Management Science

2016–2022: Associate Editor

• Information Systems Research

2019–2022: Senior Editor
2016–2019: Associate Editor
Senior Editor for "Ubiquitous IT and Digital Vulnerabilities" Special Issue

• Princeton University -- Center for Information Technology Policy

2016–2019: Research Affiliate

Education

• Ph.D. (2008) Georgia Institute of Technology, Atlanta, GA

President’s Fellowship

• M.S.M./M.B.A. (1990) Georgia Institute of Technology, Atlanta, GA

Student of the Year

• B.Ch.E. (1988) Georgia Institute of Technology, Atlanta, GA

Chemical Engineering; High Honor
President’s Scholar

Honors and Awards (selected)

• INFORMS ISS Sandy Slaughter Early Career Award (2017)

• National Science Foundation CAREER Award

• McKiernan Distinguished Fellow (Boston College)

Publications (Financial Times 50: academic)

• Kokkodis, M. and Ransbotham, S., "Learning to Successfully Hire in Online Labor Markets," Management Science,  69 (3), pp. 1323–1934, 2023.

• Kokkodis, M., Adamopoulos, P., and Ransbotham, S., "Reputation Spillover from Agencies in Online Platforms: Evidence from the Entertainment Industry", MIS Quarterly, 47 (2) pp. 733–770, 2023.

• Ransbotham, S., Overby, E. M., and Jernigan, M. C., "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time?", Management Science, 67 (7), pp. 3985-4642, 2021.

• Subramanian, H., Mitra, S., and Ransbotham, S., "Capturing Value in Platform Business Models that Rely on User-Generated Content", Organization Science, 32 (3), pp. 527-908, 2021.

• Kane, G. C., Young, A., Majchrzak, A., and Ransbotham, S. “Avoiding an Oppressive Future of Machine Learning: A Design Theory for Emancipatory Assistants," MIS Quarterly, 45 (1b), pp. 371-306, 202 1.

• Li, Z., Duan, J. and Ransbotham, S., "Coordination and Dynamic Promotion Strategies in Crowdfunding with Network Externalities", Production and Operations Management, 29(4) pp. 1032-1049, 2020.

• Kokkodis, M., Lappas, T., and Ransbotham, S., "From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare," Information Systems Research, 31(2) pp. 607-626, 2020.

• Ransbotham, S., Lurie, N., and Liu, H., "Creation and Consumption of Mobile Word-of-Mouth: How are Mobile Reviews Different?", Marketing Science, 2018.

• Overby, E. M. and Ransbotham, S., "How Do Adopters Transition Between New and Incumbent Channels?," MIS Quarterly, 43(1), pp. 185-205, 2019.

• Ransbotham, S., Fichman, R., Gopal, R., and Gupta, A. "Ubiquitous IT and Digital Vulnerabilities", Information Systems Research, 27(4), pp. 834-847, 2016.

• Kane, G.C. and Ransbotham, S., "Content as Community Regulator: The Recursive Relationship Between Consumption and Contribution in Open Collaboration Communities," Organization Science, 27(5), pp. 1258-1274, 2016.

• Kane, G.C. and Ransbotham, S., "Content and Collaboration: An Affiliation Network Approach to Information Quality in Online Peer Production Communities," Information Systems Research, 27(2), pp. 424-439, 2016.

• Mitra, S. and Ransbotham, S., "Information Disclosure and the Diffusion of Information Security Attacks," Information Systems Research, 26 (3), 2015.

• Ransbotham, S., Kane, G.C., and Lurie, N.H., “Network Characteristics and the Value of Collaborative User-Generated Content,” Marketing Science, vol. 31, no. 3, pp. 387-405, 2012.

• Ransbotham, S. and Kane, G.C., “Membership Turnover and Collaboration Success in Online Communities: Explaining Rises and Falls from Grace in Wikipedia,” MIS Quarterly, vol. 35, no. 3, pp. 613-627, 2011.

• Ransbotham, S., Mitra, S., and Ramsey, J., “Are Markets for Vulnerabilities Effective?,” MIS Quarterly, vol. 36, no. 1, pp. 43-64, 2012.

• Ransbotham, S., and Mitra, S., “Target Age and the Acquisition of Innovation in High Technology Industries,” Management Science, vol. 56, no. 11, pp. 2076-2093, 2010.

• Ransbotham, S. and Mitra, S., “Choice and Chance: A Conceptual Model of Paths to Information Security Compromise,” Information Systems Research, vol. 20, no. 1, pp. 121–139, 2009. (runner-up for ISR Best Published Paper in 2009).

Publications (Financial Times 50: practitioner)

• Wu, L., and Ransbotham, S., "Can AI Help Your Company Innovate? It Depends.", Harvard Business Review, online, 2024.

• Westerman, G., Ransbotham, S., and Farronato, C., "Find the AI Approach That Fits the Problem You're Trying to Solve", Harvard Business Review,  "How to Thrive in a Gen AI World", Special issue (Fall), 2024.

• Liang, H., Wang, N., Xue, Y., Ge, S., and Ransbotham, S., "Can IT Be Too In Sync With Business Strategy?", MIT Sloan Management Review, 59 (4), 2018.

• Ransbotham, S., "The Subtle Source of Sampling Bias Hiding in Your Data," MIT Sloan Management Review, 59 (1), 2017.

• Ransbotham, S., Kiron, D., and Prentice, P., "Minding the Analytics Gap," MIT Sloan Management Review, 56 (3), 2015.

Industry Reports

• Ransbotham, S., Kiron, D., Khodabandeh, S., Chu, M., and Zhukov, L. , "Learning to Manage Uncertainty, With AI", for MIT Sloan Management Review, 2024.

• Ransbotham, S., Kiron, D., Candelon, F., Khodabandeh, S., and Chu, M., "Achieving Individual — and Organizational — Value With AI", for MIT Sloan Management Review, 2022.

• Ransbotham, S., Candelon, F., Kiron, D., LaFountain, B., and Khodabandeh, S., "The Cultural Benefits of Artificial Intelligence in the Enterprise", for MIT Sloan Management Review, 2021.

• Ransbotham, S., Khodabandeh, S., Kiron, D., Candelon, F., Chu, M., and LaFountain, B., "Expanding AI's Impact With Organizational Learning", for MIT Sloan Management Review, 2020.

• Ransbotham, S., Khodabandeh, S., Fehling, R., LaFountain, B., and Kiron, D., "Winning with AI", for MIT Sloan Management Review, 2019.

• Ransbotham, S., Kiron, D., Gerbert, P., Reeves, M., and Spira, M. "Artificial Intelligence in Business Gets Real: Pioneering Companies Aim for AI at Scale", for MIT Sloan Management Review, 2018.

• Ransbotham, S. and Kiron, D., "Using Analytics to Understand Customer Engagement" for MIT Sloan Management Review, 2018.

• Ransbotham, S., Kiron, D., Gerbert, P., and Reeves, M., "Reshaping Business with Artificial Intelligence: Closing the Gap Between Ambition and Action" for MIT Sloan Management Review, 2017.

• Ransbotham, S. and Kiron, D., "Analytics as a Source of Business Innovation" for MIT Sloan Management Review, 2017.

• Jernigan, S., Ransbotham, S. and Kiron, D., "Data Sharing and Analytics Drive Success With IoT," for MIT Sloan Management Review, 2016.

• Ransbotham, S., Kiron, D., and Prentice, P., "Beyond the Hype: The Hard Work Behind Analytics Success", for MIT Sloan Management Review, 2016.

• Ransbotham, S., Kiron, D., and Prentice, P., "The Analytics Talent Dividend", for MIT Sloan Management Review, 2015.

Case Commentaries

• Ransbotham, S., "GE: GE’s Calculated Bet on Analytics", for MIT Sloan Management Review, 2016.

• Ransbotham, S., "Nedbank: A Bank On the Edge of a Deep River", for MIT Sloan Management Review, 2016.

• Ransbotham, S. "Intermountain Healthcare: ‘No Pain, No Gain’ in the Transition to Data-Driven Health Care", for MIT Sloan Management Review, 2015.

• Ransbotham, S., "Amsterdam: Tensions Between CONTROL and KAOS in Using Data to Get Smart", for MIT Sloan Management Review, 2016.

Publications (other)

• Harlow, A. F., Zheng, A., Nordberg, J., Hatch, E. E., Ransbotham, S, and Wise, L. A. "A Qualitative Study of Factors Influencing Male Participation in Fertility Research", Reproductive Health, 17 (186), 2020.

• Murthy, I. and Ransbotham, S., "A New Extended Formulation of the Generalized Assignment Problem and Some Associated Valid Inequalities", Discrete Applied Mathematics, 271, pp. 119- 143, 2019.

• Ransbotham, S. and August, T., "Securing Information in a Digital World", INFORMS Editor's Cut, 2018.

• Ransbotham, S. and August, T., "Newest edition of Editor's Cut explores data security", INFORMS OR/MS Today, 45(2), 2018.

• Argyris, Y. and Ransbotham, S., "Knowledge Entrepreneurship: Institutionalising Wiki-Based Knowledge Management Processes in Competitive and Hierarchical Organisations," Journal of Information Technology, 31 (2), pp. 226-239, 2016.

• Ransbotham, S., "Preserving opportunities in internet research: a commentary on 'Study Cyborgs'," Journal of Information Technology, 2012.

• Ransbotham, S., Murthy, I., Mitra, S., and Narasimhan, S., “Sequential Grid Computing: Models and Computational Experiments,” INFORMS Journal on Computing, vol. 23, no. 2, pp. 174-188, 2011.

• Gallaugher, J. and Ransbotham, S., “Dialog Management at Starbucks,” MIS Quarterly Executive, vol. 9, no. 4, pp. 197–212, 2010.

• Ransbotham, S., Schwarzhoff, J. and Sommerfeld, J., “Discrete Event Simulation of Penicillin Production,” Process Biochemistry, vol. 23, pp. 182–187, Dec 1988.

Book Chapters

• Ransbotham, S., "Introduction", in How AI is Transforming the Organization, MIT Press, 2020.

• Ransbotham, S., "Don't Let Artificial Intelligence Supercharge Bad Processes", in How AI is Transforming the Organization MIT Sloan Management Review, MIT Press, 2020.

• Ransbotham, S. and Mitra, S., "The Impact of Immediate Disclosure on Attack Diffusion and Volume," in Economics of Information Security & Privacy III (B. Schneier, ed.), Springer, 2012.

• Ransbotham, S., "Electronic Messaging," in Wiley Encyclopedia of Management (Third Edition), November, 2014.

• Ransbotham, S. and Kane, G.C., "Web 2.0," in Wiley Encyclopedia of Management (Third Edition), November, 2014.

Academic Presentation (selected / recent)

• Ransbotham, S. Overby, E.M., and Jernigan, M.C., "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time?," (University of Arizona), 2021.  

• Ransbotham, S. and Westerman, G., "Agency Conflict in Internal Corporate Innovation Contests", (George Mason University), 2021.  

• Ransbotham, S. "Managers not Makers: Teaching Artificial Intelligence In Business", (University of Rochester), 2021.  

• Ransbotham, S. Overby, E.M., and Jernigan, M.C., "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution  Time?", (Erasmus University), 2019.  

• Ransbotham, S. "“Open Source Code and the Risk of Attacks based on Software Vulnerabilities",” (Wharton), 2019.  

• Ransbotham, S. “"Artificial Intelligence",” (Harvard Economic Forum), 2019.  

• Ransbotham, S. “"Open Source Code and the Risk of Attacks based on Software Vulnerabilities",” (Erasmus University), 2019.  

• Ransbotham, S. "“Open Source Code and the Risk of Attacks based on Software Vulnerabilities",” (University of Georgia), 2019.

• Ransbotham, S. and Westerman, G., “"Agency Conflict in Crowdsourced Corporate Innovation Contests",” (Wharton), 2018.  

• Ransbotham, S. Overby, E.M., and Jernigan, M.C., "“Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time?",” (Emory University), 2018. 

• Ransbotham, S. Overby, E.M., and Jernigan, M.C., “"Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time?",” (Boston University), 2018.  

• Ransbotham, S. and Westerman, G., "“Agency Conflict in Crowdsourced Corporate Innovation Contests",” (Vienna University of Economics and Business, Vienna, Austria), 2018.  

• Ransbotham, S., “"Data science and biomedical discovery – - new technologies of data science",” (National Library of Medicine, Washington D.C.), 2018.  

• Ransbotham, S. "“Open Source Code and the Risk of Attacks based on Software Vulnerabilities",” (NBER Summer Workshop on the Economics of Information Technology and Digitization), 2017.  

• Ransbotham, S., “"An Empirical Analysis of Exploitation Attempts Based on Vulnerabilities in Open Source Software",” (Open and User Innovation Conference, Harvard University), 2016.  

• Ransbotham, S. and Westerman, G., “"Agency Conflict in Crowdsourced Corporate Innovation Contests",” (Open and User Innovation Conference, Harvard University), 2016.  

• Ransbotham, S., Overby, E. M., and Jernigan, M. C. "Electronic Discovery and the Effect of EMRs on Claim Resolution Time",” (NBER SummerWorkshop on the Economics of Information Technology and Digitization), 2016.  

• Kane, G. C. and Ransbotham, S., “"Which Came First? Contribution Dynamics in Online Production Communities",”(ZEW/KMRCWorkshop: User behavior and content generation on Wikipedia, Mannheim, Germany), 2014.  

• Ransbotham, S., Overby, E. M., and Jernigan, M. C. "“Improving the Malpractice System: Effect of EMRs onClaim Resolution Time",” (Workshop on Health IT and Economics, Best Young Researcher Award, University of Maryland), 2013.  

• Ransbotham, S. and N. Lurie "Mobile Marketing: The Persuasive Impact of Real-Time Reviews",” (Wharton Customer Analytics Initiative Mobile Conference), 2012. 

• Ransbotham, S., “"An Empirical Analysis of Exploitation Attempts Based on Vulnerabilities in Open Source Software",” (Workshop on the Economics of Information Security, Harvard University), 2010.

Practitioner Presentations (selected / recent)

• How is Artificial Intelligence Transforming Firms? (Washington, DC), World Bank, 2023.

• AI World Keynote (Boston, MA)., "Expanding AI’s Impact with Organizational Learning", 2021.

• EmTech Digital (Boston, MA)., “Achieving Enterprise Success With AI,” 2021.

• Dartmouth (Hanover, NH), "Artificial Intelligence in Business", 2019. 

• Wall Street Journal: AI Executive Forum (New York), "Artificial Intelligence: The State of Play", 2019.

• AI World Keynote (Boston, MA)., "Artificial Intelligence in Business Gets Real," 2019.

• Open Data Science Conference (Boston, MA)., "Artificial Intelligence in Business Gets Real," 2019. 

• Ransbotham, S. "Artificial Intelligence in Business Gets Real," (Marketing Science Institute), 2018. 

• IDC CIO Summit (Vienna), Reshaping Business with Artificial Intelligence: Closing the Gap Between Ambition and Action, 2018. 

• Open Data Science Conference (Boston, MA)., The Adoption of AI in Business: Opportunities and Challenges, 2018. 

• Financial Services Learning & Talent Development Innovations (Boston), "Preparing your business for an AI future", 2018.

• MIT Sloan Management Review (Webinar), "Using Analytics to Improve Customer Engagement", 2018.

• Harvard Business Review (Webinar), "How to Harness IoT for the Bottom Line", 2017.

• Bank of America, Data Quality \& Controls (Charlotte, NC), "Preparing your business for an AI future", 2017.

• MIT Sloan Management Review (Webinar), "Analytics as a Source of Business Innovation", 2017.

• Society for Information Management APC, (Webinar) "Ready or Not, Here IoT Comes", 2017.

• Institute for Advanced Analytics (Boston, MA), "Does your Company Collect Data--- Or Hoard It?", 2016.

• IoT Innovation Day, Museum of Science (Boston, MA), "Ready or Not, Here IoT Comes", 2016.

• BTO Research (Milan & Rome), "Data: Creating Value, Governing, and Securing", 2016.

• UNCC Analytics Frontiers Conference (Charlotte, NC), "Beyond the Hype: The Hard Work Behind Analytics Success", 2016.

• MIT Sloan Management Review (Webinar), "Beyond the Hype: The Hard Work Behind Analytics Success", 2016.

• MIT Sloan Management Review (Webinar), "Creating a Data-Driven Enterprise: Real-Life Cases", 2016.

• University of California - Irvine (Irvine, CA), "Ready or Not? Confronting Complexity in Data Analytics and the Internet of Things", 2016.

• Society for Information Management APC, (Philadelphia, PA) "Ready or Not, Here IoT Comes", 2016.

• MIT Sloan Management Review (Webinar), "Managing Data in the Internet of Things", 2016.

• Marketing Science Institute (Washington, DC), "The Coming Reality: What You Really Need to Know about Your Customers and Your Data", 2016.

• Society for Information Management APC, (Philadelphia, PA) "Innovation Contests: The Good, the Bad and the Valuable", 2015.

• MIT Sloan Management Review (Webinar), "Managing Data in the Age of the Internet of Things", 2015.

• MIT Sloan Management Review (Video), "On the Care and Feeding of Your Analytics Talent", 2015.

Honors and Awards

• INFORMS ISS Sandy Slaughter Early Career Award (2017)

• National Science Foundation CAREER Award

• McKiernan Distinguished Fellow (Boston College)

• Management Science Meritorious Service Award (2017, Associate Editor)

• Young Researcher Award, Workshop on Health IT Economics, 2013

• Marketing Science Institute Research Grant, 2013 (total $11,800, with Lurie and Liu)

• Best Reviewer, INFORMS Conference on Information Systems and Technology, 2013

• Best Paper, Knowledge Management and Business Intelligence Track, ICIS 2013

• Boston College Carroll School of Management Undergraduate Teaching Award, 2013

• Best Paper, Security and Privacy Track, ICIS 2012

• Wharton Customer Analytics Initiative Modeling Mobile Customer Behavior Grant, 2011

• Boston College Faculty Fellowship, Fall 2011

• Information Systems Research Runner-up, Best Published Paper in 2009

• Google and WPP Marketing Research Award, 2009 (with N. Lurie)

• Kauffman Foundation and Greater Atlanta Regional Grants for the Study of Entrepreneurship
  and Productivity, 2009 (with F.Rothaermel and M. Higgins)

• National Science Foundation (NSF) IGERT Assistantship 2005-2006, Alan & Mildred Peterson Foundation

• President’s Fellowship 2003-2007

• 2006-2007 Outstanding Student Teacher Award (College of Management)

• 14th Annual Consortium on Competitiveness and Cooperation

Teaching Experience

Full Courses

• Machine Learning & Artificial Intelligence (Undergraduate)

• Analytics & Business Intelligence (Full-Time MBA Core)

• Analytics & Business Intelligence (Online)

• Analytics & Business Intelligence (Undergraduate and MBA elective)

• Information System Security Management and Forensics (Undergraduate and MBA elective)

• Information Technology for Management (MBA core)

• Computers in Management (Undergraduate core)

• Systems Analysis and Design (Undergraduate elective)

• Introduction to Management Information Systems (Undergraduate core)

Executive Education

• Executive Master of Science in Management of Technology

• Georgia Tech Information Technology Management Partnership Program

Course Design

• Machine Learning & Artificial Intelligence

• Analytics & Business Intelligence

• Information System Security Management and Forensics

• MBA Seminar on Emerging Technologies (with Narasimhan, S.)

Short courses

• Overview of CPLEX modeling and programming for PhD students

• Probability and Statistics Review Course for MBA Students

• Math and Probability Review Course for MBA Students