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Mohammad Rahman

Mohammad Rahman

Associate Professor of Management
Management Information Systems

Education

Ph.D., Management Information Systems, Krannert School of Management, Purdue University, West Lafayette, IN. 2008
MBA, Management Information Systems, Southern Illinois University, Carbondale, IL. 2004
BS, Computer Science, Southern Illinois University, Carbondale, IL. 2002

CV

Professor Mohammad Saifur Rahman is an Associate Professor of Management at the Krannert School of Management, Purdue University. He was named one of the World's Top 40 Business School Professors Under 40 by Poets and Quants in 2017. His research primarily focuses on:

  • Digital Business
  • Big Data
  • Omni-channel Retailing
  • Technology Usage
  • Retail and Web Analytics
  • Consumer Behavior and Decision Making

Professor Rahman has published in major journals including Management Science, Information Systems Research, and MIT Sloan Management Review. His papers have been accepted in several leading conferences, e.g., Workshop on Information Systems Economics (WISE), International Conference on Information Systems (ICIS), and Conference on Information Systems and Technology (CIST). Also, his research has been supported by multiple major Social Sciences and Humanities Research Council (SSHRC) grants.

The Krannert School of Management selected Professor Rahman as the recipient of the Jay N. Ross Young Faculty Scholar Award in 2015.

Prior to joining Krannert as a faculty in 2014, Professor Rahman was an Associate Professor at the Haskayne School of Business, University of Calgary. While at Haskayne, he received the Dean's Award for Outstanding New Scholar in 2010 and the Dean's Award for Outstanding Research Achievement in 2014. 

In 2013, Professor Rahman co-chaired the Conference on Information Systems and Technology (CIST) and, in 2014, served as the president of INFORMS eBusiness Society.  He is currently serving as an associate editor of Management Science and Information Systems Research (ISR) and served as the lead organizer for Krannert-Walmart Data Dive, what is believed to be the first data dive on a college campus, as well as the Dawn or Doom Data Dive in cooperation with Cisco.

Professor Rahman's teaching interests mainly lie in:

  • Data-Driven Decisions in Digital Business
  • Web Data Analytics
  • Digital Transformations and Markets
  • Data Management and Business Analytics

Professor Rahman has been recognized as a Krannert Outstanding and Distinguished Teacher at both undergraduate and master's levels (2015-present).  While teaching as a doctoral student in 2006 and 2007, he received the Certificate for Distinguished Teaching – the highest recognition at Krannert for excellence in teaching by a doctoral student.

Journal Articles

  • Gong, F., Nault, B., and Rahman, M. (2016). An Internet-Enabled Move to the Market in Logistics. Information Systems Research, vol. 27 (2), 440-452
  • Kannan, K., Rahman, M., and Tawarmalani, M. (2016). Economic and Policy Implications of Restricted Patch Distribution. Management Science, vol. 62 (11) 3161-3182.
  • Herrmann, P., Kundisch, D., and Rahman, M. (2015). Beating Irrationality: Does Delegating to IT Alleviate the Sunk Cost Effect?. Management Science, vol. 61 (4), 831-850.
  • Ackura, M.T., Ozdemir, Z., and Rahman, M. (2015). Online Intermediary as a Channel for Selling Quality Differentiated Services. Decision Sciences, vol. 46 (1), 37-62.
  • De, P., Hu, Y., and Rahman, M. (2013). Product-Oriented Web Technologies and Product Returns: An Exploratory Study. Information Systems Research, vol. 24 (4) 998-1010.
  • Brynjolfsson, E., Hu, Y., and Rahman, M. (2013). Competing in the Age of Omnichannel Retailing. MIT Sloan Management Review, vol. 54 (4) 23-29.
  • De, P., Hu, Y., and Rahman, M. (2010). Technology Usage and Online Sales: An Empirical Study. Management Science, vol. 56 (11) 1930-1045.
  • Brynjolfsson, E., Hu, Y., and Rahman, M. (2009). Battle of the Retail Channels: How Product Selection and Geography Drive Cross-channel Competition. Management Science, vol. 55 (11) 1755-1765.

Conference Proceedings

  • M. Alyakoob and A. Mahalingam (2017). Geography and the Rise of FinTech: Evidence from Peer to Peer Lending. Ontario, Canada.
  • M. Alyakoob and Z. Wei (2017). Where You Live Matters: The Impact of Local Financial Market Competition on a Borrower’s Debt Management Strategies. Stanford, CA.
  • M. Alyakoob, M. Rahman, and Z. Wei (2017). To Prepay or Default? The Impact of Local Financial Market Competition in Online Debt Crowdfunding. Seattle, WA.
  • M. Alyakoob, M. Rahman, and Z. Wei (2017). Where You Live Matters: The Impact of Local Financial Market Competition on a Borrower's Debt Management Strategies. Boulder Summer Conference on Consumer Financial Decision Making, Boulder, CO.
  • Gutt, D., Herrmann, P. and Rahman, M. (2016). Crowd-Driven Competitive Intelligence: Understanding the Relationship between Local Market Structure and Online Rating Distributions. INFORMS Annual Meeting, Nashville, TN.
  • Havakhor, T., Rahman, M. and Sertia, P. (2016). Choice of IT Governance Mode in Multi Business Firms: The Effect of Technology Embeddedness. Conference on Information Systems and Technology, (CIST) Nashville, TN.
  • Alyakoob, M., Rahman, M and Wei, Z. (2016). To Prepay or Default? The Role of Local Financial Market Competition in Online Peer-to-Peer Lending. Workshop on Information Systems Economics, (WISE) Dublin, Ireland.
  • Herrmann, P. and Rahman, M. (2014). What is the Relationship Between Market Structure and Digitized Customer Experience?. INFORMS Annual Meeting, San Francisco, CA.
  • Herrmann, P. and Rahman, M. (2014). The Hunt for Quality in a Market: Exploring the Relationship Between Local Market Structure and Digitized Customer Experience. Workshop on Information Systems Economics, (WISE) Auckland, New Zealand.
  • Herrmann, P. and Rahman, M. (2014). Exploring the Relationship Between Local Market Structure and Digitized Customer Experience. Conference on Information Systems and Technology, (CIST) San Francisco, CA.
  • T. Chen, Y. Hu, M. Rahman, and J. Sun (2014). The Effect of Sister-Sister Presence and Market Competition on Product Assortment: Evidence from Book Retailing. POMS 25th Annual Conference, Seattle, WA.
  • Rahman, M. (2013). Digital Economy and Technology Adoption. 47th Annual Conference of the Canadian Economic Association, Montreal, Canada.
  • Nault, B. and Rahman, M. (2013). Reach Versus Competition in Channels with Internet and Traditional Retailers. Theory in Economics of Information Systems, Monterey, CA.
  • Havakhor, T., Rahman, M., and Setia, P. (2013). Impact of Technology Clusters on Centralization of IT Governance. INFORMS Annual Meeting2013 (co-author presented), Minneapolis, MN.
  • Jabr, W. and Rahman, M. (2013). Dynamics of the Market for Information: An Analysis of the Online Word-of-Mouth. International Conference on Information Systems, Milan, (ICIS) Italy.
  • Herrmann, P., Kundisch, D., and Rahman, M. (2013). Does it Pay Off to Bid Aggressively? An Empirical Study. Hawaii International Conference on System Sciences (HICSS), Hawaii.
  • Jabr, W. and Rahman, M. (2013). Dynamics of the Market for Information: An Analysis of the Online Word-of-Mouth. Ninth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Lisbon, Portugal.
  • Herrmann, P., Kundisch, D., and Rahman, M. (2012). Does it Pay Off to Bid Aggressively? An Empirical Study. International Conference on Information systems (ICIS), Orlando, FL.
  • Herrmann, P., Kundisch, D., and Rahman, M. (2012). To Bid or Not to Bid Aggressively? An Empirical Study. Workshop on Information Systems Economics (WISE), Orlando, FL.
  • Chen, T. Hu, Y., Rahman, M., and Sun, J. (2012). The Effect of Store Coordination and Market Competition on Product Assortment: Evidence from Book Retailing. INFORMS MSOM (Manufacturing and Service Operations Management) Conference, Columbia University.
  • Herrmann, P., Kundisch, D., and Rahman, M. (2012). Does it Pay Off to Bid Aggressively? An Empirical Study. INFORMS Annual Meeting, Phoenix, AZ.
  • Jabr, W. and Rahman, M. (2012). The Role of Online Reviews in Mitigating Product Uncertainties. INFORMS Annual Meeting, Phoenix, AZ.
  • Herrmann, P., Kundisch, D., and Rahman, M. (2011). Sunk Cost Effect: The Impact of Delegating Decision Making to IT. INFORMS Annual Meeting 2011, Charlotte, NC.
  • Gong, F., Nault, B., and Rahman, M. (2011). IT, Logistics Outsourcing and Industry-Level Productivity. INFORMS Annual Meeting 2011, Charlotte, NC.
  • Herrmann, P., Kundisch, D., and Rahman, M. (2011). The Impact of Delegating Decision Making to IT on the Sunk Cost Effect. Workshop on Information Systems Economics (WISE), Shanghai, China.
  • Herrmann, P., Kundisch, D., and Rahman, M. (2011). Sunk Cost Effect: The Impact of Delegating Decision Making to IT. Seventh Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Rio de Janeiro,.
  • Kannan, K., Rahman, M., and Tawarmalani, M. (2010). Software Maintenance and Piracy: Economic and Policy Implications of Patch Development Resources. University of Alberta Workshop on Information Systems Security, University of Alberta, Edmonton, AB,.
  • De, P., Hu, Y., and Rahman, M. (2010). Product Returns: An empirical Investigation of the Effect of Advanced Web Technologies. Conference on Information Systems and Technology (CIST), Austin, TX.
  • De, P., Hu, Y., and Rahman, M. (2010). An Empirical Investigation of the Effect of Advanced Web Technologies on Product Returns. Workshop on Information Systems Economics (WISE), St. Louis, MO.
  • Ackura, M.T., Ozdemir, Z., and Rahman, M. (2009). Advance Selling of Services Through Infomediaries. INFORMS Annual Meeting 2009, San Diego, CA.
  • Ackura, M.T. Ozdemir, Z., and Rahman, M. (2009). When and How Should Service Providers Adopt Internet Infomediaries?. CORS/INFORMS International Meeting 2009, Toronto, Canada.
  • Ackura, M.T., Ozdemir, Z., and Rahman, M. (2009). Advance Selling Battle on Infomediaries: How Quality Differentiation Determines Price Premiums. Conference on Information Systems and Technology (CIST), San Diego, CA.
  • Ackura, M.T., Ozdemir, Z., and Rahman, M. (2009). Strategic Adoption of Internet Agents. INFORMS Marketing Science Conference 2009, Ann Arbor, MI.
  • De, P., Hu, Y., and Rahman, M. (2008). Website Features and Online Shopping: How Technology Usage Impacts Consumer Demand. INFORMS Annual Meeting 2008, Washington D.C..
  • De, P., Hu, Y., and Rahman, M. (2008). Website Features and Online Shopping: How Technology Usage Impacts Consumer Demand. Big Ten Information Systems Symposium, University of Notre Dame, IN.
  • Brynjolfsson, E., Hu, Y., and Rahman, M. (2007). Battle of the Retail Channels: How Internet Selection and Local Retailer Proximity Drive Cross-Channel Competition. International Conference on Information Systems (ICIS), Montreal, Quebec, Canada.
  • De, P., Hu, Y., and Rahman, M. (2007). The Impact of Technology Usage on Consumer Demand. Workshop on Information Systems Economics (WISE), Montreal, Quebec, Canada.
  • Kannan, K., Tawarmalani, M. and Rahman, M. (2007). The Countervailing Incentive of Restricted Patch Distribution: Economic and Policy Implications. Workshop on the Economics of Information Security (WEIS), Carnegie Mellon University, Pittsburgh, PA.
  • Rahman, M. (2006). The Impact of the Internet on the Sales Distribution: The Role of Product Attributes, 200. Big Ten Information Systems Symposium, University of Illinois at Urbana-Champaign, IL.
  • Martin, N., Paul, S., and Rahman, M. (2003). Data Mining, Group Memory, Group Decision Making: A Theoretical Framework. Proceedings of the 9th Americas Conference on Information Systems (AMCIS), Tampa, FL.

Research In Progress

  • Herrmann, P., Kundisch, D., and Rahman, M. The Impact of IT Usage on the Evolution of a Decision Bias: An Empirical Study.
  • Jabr, W. and Rahman, M. Efficiency of the Market for Information: An Analysis of the Featured Reviews in Online Word-of-Mouth.
  • Rahman M., Kar W. & Nault B. Physical Stores in the Age of Omnichannel Retailing.
  • Havakhor, T., Rahman, M., and Setia, P. Choice of IT Governance Mode: The effect of IT Infrastructure Agglomeration.

Other Publications

  • De, P., Hu, Y., and Rahman, M. Do All Product-Oriented Web Technologies Reduce Product Returns?, ISB Insight 10 (1).
  • Rahman, M. Digital Economy and Technology Adoption: A Research Commentary, Industry Canada, Government of Canada.

Working Papers

  • Chen, T., Sun, J., Rahman, M., and Hu, Y. The Effects of Sister-Store Presence and Market Competition on Product Assortment: Evidence from Book Retailing.
  • Rahman M., Alyakoob M. & Wei Z. Where You Live Matters: The Impact of Local Financial Market Competition in Managing Online Peer-To-Peer Loans.
  • T. Havakhor and P. Setia Choice of IT Governance Mode: The Effects of IT Infrastructure Agglomeration.
  • Gutt, D., Herrmann, P., and Rahman, M. Crowd-Driven Competitive Intelligence: Understanding the Relationship between Local Market Structure and Online Rating Distributions.
  • Nault, B., and Rahman, M. Proximity to a Traditional Physical Store: The Effects of Mitigating Online Disutility Costs.
  • De, P., Hu, Y., and Rahman, M Digital Traces and the Future of AI-Assisted Shopping.
  • Consumer Consumption

    A pair of faculty members from Purdue University’s Krannert School of Management recently won a research grant of $50,000 from Adobe Systems as part of an industry and academic collaboration that aims to find new ways to solve the challenges that plague today’s online marketers.

    Full story: Consumer Consumption

  • Data Quandary

    Smart cars, smart streets and smart homes could make life much easier, but what's the tradeoff? Mohammad Rahman, a Purdue University associate professor of management information systems, says the quandary surrounding data and its ownership is important to some people. But for the most part, consumers have indicated that they prefer convenience over privacy.

    Full story: Data Quandary

  • Airbnb provides bigger economic boost for white neighborhoods, study finds

    Airbnb rentals help local economies by driving restaurant traffic and employment in a handful of U.S. cities, but not in predominantly black or Hispanic neighborhoods, according to a study from Purdue University.

    Full story: Airbnb provides bigger economic boost for white neighborhoods, study finds

  • Study shows Airbnb benefits white neighborhoods; not so for black and Hispanic areas
    Tourism activity in areas with a rise in Airbnb rentals could spill over into complementary industries, such as the restaurant business, unless those neighborhoods are predominantly black or Hispanic, a new study by Krannert researchers suggests. “Airbnb has made repeated claims that it helps the local economy in black neighborhoods, especially in New York City,” said Mohammad Rahman, author of the study and an associate professor of management at Purdue University’s Krannert School of Management. “We do not find any evidence of that economic spillover effect.”
  • Airbnb benefits local economies. But mainly in white neighborhoods, study finds.
    The study found that users of the home sharing platform generally eat in the neighborhood restaurants near where they are staying. However the spillover effect does not hold true when 50 percent or more of a neighborhood’s residents are black or Hispanic.
  • Self-driving cars will change the way we shop – if we let them, says Krannert retail expert
    In a future with autonomous vehicles, cars could suggest where to stop for coffee in the morning and pick up groceries after work, not only altering the way humans travel, but how they shop and how they’re targeted by retailers. Mohammad Rahman, an associate professor of management at Purdue University, says the next disruption in retail may not occur in stores or online, but in the cars people depend on to commute, run errands and travel.
  • Krannert professors outline five common digital retailing mistakes
    Krannert faculty members Prabuddha De and Mohammad Rahman say today’s retailers need to adopt a data-driven view — with the goal of understanding how website features and advances in AI will affect consumer behavior.
  • Adobe invests in Krannert faculty research on data science in marketing
    A pair of faculty members from Purdue University’s Krannert School of Management recently won a research grant of $50,000 from Adobe Systems. Wreetabrata Kar, an assistant professor, and Mohammad Rahman, an associate professor, are studying different drivers of knowledge consumption on the Internet and endeavor to find how a site can leverage such drivers to influence consumer behavior.
  • Krannert's Mohammad Rahman discusses artificial intelligence with Business Today
    Mohammad Rahman, associate professor of management at Purdue University's Krannert School of Management, recently spoke to Business Today about the evolution of artificial intelligence (AI). "To me, AI is when you are able to let the machine make certain decisions that are not so codified," said Rahman. "We need a lot of data to train AI so that it can deal with situations as they come up based on what it has seen before."
  • Students come up with novel business solutions for Cisco as part of “data dive” competition
    Teams of Purdue students took a dive as part of the University’s Dawn or Doom ‘17 conference and Cisco walked away with a portfolio of original business solutions as a result. Meanwhile, the winning teams — all of which included at least one student from the Krannert School — walked away with $6,000 in prize money.

Contact

mrahman@purdue.edu
Phone: (765) 49-44464
Office: KRAN 458

Quick links

Personal website

Area(s) of Expertise

Digital Business; Big Data; Omni-channel Retailing; Technology Usage; Retail and Web Analytics; Consumer Behavior and Decision Making