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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.
  • Homesharing

    Left Behind: How disruptive technology may choose society's winners and losers

    New platforms like home- and ride-sharing services often are praised for leveling the playing field, cutting out the middle man and boosting the economy. However, what if the explosion of disruptive technology is exploiting our biases, rather than helping us overcome them? This phenomenon is highlighted by new findings from an Airbnb study by Prof. Mohammand Rahman and doctoral student Mohammed Alyakoob from Purdue University's Krannert School of Management.

    Full story: Left Behind: How disruptive technology may choose society's winners and losers

  •  Big Data

    Digital Revolution

    Mohammad Rahman graduated with a degree in computer science during the emergence of a digital renaissance, going on to become an MBA student who foresaw both technology’s transformative role in commerce and its destructive potential. Rahman, now a professor in the Krannert School of Management at Purdue University, studies how digital platforms have grown to revolutionize the world of retail and fundamentally change how businesses interact with consumers.

    Full story: Digital Revolution

  • Airbnb affects on parallel industries

    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 suggests.

  • Laptop & Smartphone

    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

  •  Professor Explaining

    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

  • Where You Live Still Matters

    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.

  • Online retail technologies

    Prabuddha De, Accenture Professor of Information Technology, and Mohammad Rahman, associate professor of management, both in the Krannert School of Management, along with former Krannert colleague Yu Hu, currently associate professor at the Georgia Tech Scheller College of Business, conducted the research. They partnered with a large online women’s clothing retailer to study the effectiveness of navigational technologies, such as search and recommendation systems, and product-oriented technologies, including a zoom-in feature, color swatches and alternative photos.

  • Home-sharing

    Left behind: How disruptive technology may choose society’s winners and losers

    New platforms like home- and ride-sharing services often are praised for leveling the playing field, cutting out the middle man and boosting the economy. Additional findings from an Airbnb study by Krannert professor Mohammad Rahman, however, suggest black neighborhoods were frequently perceived as “shady” and “risky.”

    Full story: Left behind: How disruptive technology may choose society’s winners and losers

  • Two Krannert Professors Receive Distinguished Award
    Fabrice Lumineau and Mohammad Saifur Rahman were named as part of the 2017 Poets and Quants “Best 40 Under 40 Professors” list.
  • Krannert prof among three Purdue University researchers to advance innovations through $100,000-plus in funding
    Three Purdue University researchers have received a total of $121,000 from the Trask Innovation Fund to further develop their technologies and move them through the commercialization pipeline. Mohammad Rahman, an associate professor in the Krannert School of Management, was awarded $21,218 to further develop a scalable platform that enables enterprises to perform real-time computations across private ledgers without needing to disclose confidential information in the ledgers to anyone, including the platform.
  • Top Purdue Research News from 2018: Krannert prof Mohammad Rahman on the inequalities of a sharing economy
    Neighborhood tourism, air quality for babies, service dogs for vets, and an answer to whether money buys you happiness were among the most popular news stories released by Purdue University in 2018. Articles about these research efforts appeared in The New York Times, The Washington Post, USA Today, NBC News, and thousands of other media outlets around the world, including a study by Krannert's Mohammad Rahman about the lack of economic spillover to black and Hispanic communities within the growing platform of home sharing.
  • Krannert’s Mohammad Rahman recognized with 2018 ISS Early Career Award
    Mohammad Rahman, an associate professor in the Krannert School of Management at Purdue University, was recently honored with the 2018 Information Systems Society (ISS) Sandy Slaughter Early Career Award, which is presented annually to individuals who are on a path towards making outstanding intellectual contributions to the information systems discipline. Rahman's research focuses primarily on digital business, big data, omni-channel retailing, technology usage, retail and web analytics, and consumer behavior and decision making.
  • Mohammad Rahman
    Don’t get left behind: Krannert prof examines how big data, automation are revolutionizing the world of retail
    Krannert Professor Mohammad Rahman discusses how technology is transforming people and businesses and how AI could exploit our biases rather than help us overcome them. Rahman’s work aligns with Purdue's Giant Leaps celebration, acknowledging the university’s global advancements made in artificial intelligence as part of Purdue’s 150th anniversary. This is one of the four themes of the yearlong celebration’s Ideas Festival, designed to showcase Purdue as an intellectual center solving real-world issues
  • 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.
  • 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.
  • 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.”
  • 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.
  • AI
    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.
  • 2017 Best 40 Under 40 Professors
    Two Krannert professors have been named in the “2017 Best 40 Under 40 Professors” by Poets & Quants, a website dedicated to business school news. Fabrice Lumineau and Mohammad Rahman made this year’s list. They join Xiaoyan Zhang, who made the list in 2014, in receiving the honor.
  • Krannert Students Use Class Knowledge to Win Data Dive
    Krannert School of Management students are continuing to live up to the school’s prestigious name. The Kraft Foods Group corporation held its first Data Dive competition, in which five Krannert undergraduate students made up the winning team. “I picked a team of five students from my class to participate and compete in one category – segmentation,” said associate professor of management Mohammad Rahman.
  • Selling via Technology
    In a world where industries fight to increase sales by a percentage point and where product returns cost U.S. manufacturers $100 billion a year, paying attention to the human factors aspect of information technology could make a world of difference.
  • Purdue Study: Online Shopping "Recommended for You" Links Really Do Boost Sales
    A Purdue study finds those online shopping "you might also like" suggestions really do boost sales. Krannert School of Management Professors Prabuddha De and Mohammad Rahman worked with a women's clothing retailer to track the server logs from the company's website. Rahman says including recommendations of other items similar to what customers originally searched for increased sales 5.5%.
  • Professors: Online retail technologies have mixed results
    WEST LAFAYETTE, Ind. — With the holiday shopping season approaching, online retailers are gearing up for increased customer visits and potential sales. But research by two Purdue University management professors found that some technologies online retailers frequently use are more effective than others.
  • Image courtesy of Flickr user Vermin Inc.
    Omnichannel Retailing and Data Analytics: Leveling the Playing Field
    In a recent AllAnalytics video and web chat, Analytics in the Age of Omnichannel Retailing, researchers Erik Brynjolfsson, director of the MIT Center for Digital Business, Yu Jeffrey Hu, associate professor at Georgia Institute of Technology’s Scheller College of Business, and Mohammad Rahman, associate professor at University of Calgary’s Haskayne School of Business, discussed the challenges facing retailers.

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