IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v24y2013i3p683-708.html
   My bibliography  Save this article

To Personalize or Not to Personalize Online Purchase Interactions: Implications of Self-Selection by Retailers

Author

Listed:
  • Sriram Thirumalai

    (Operations and Information Systems, David Eccles School of Business, University of Utah, Salt Lake City 84112)

  • Kingshuk K. Sinha

    (Supply Chain and Operations, Carlson School of Management, University of Minnesota, Minneapolis 55455)

Abstract

Personalization technologies today enable retailers to tailor online purchase interactions to the individual preferences and needs of customers. With personalization being increasingly perceived as a source of competitive advantage, there is a growing trend toward pursuing technology-enabled personalization strategies in online retailing. However, the choice of a retailer whether or not to select into technology-enabled personalization and its implications for customer loyalty are at best ambiguous. This paper is an attempt to resolve this apparent ambiguity. Specifically, the paper conceptualizes retailer selection into technology-enabled personalization strategies relevant to two steps of an online purchase, namely, transaction personalization strategy and decision personalization strategy, based on the operating characteristics of a retailer. The implications of the retailers' self-selection into technology-enabled personalization strategies for customer loyalty are then empirically investigated with data collected from 422 retailers. Further, based on a counterfactual analysis, the paper reveals the implications of making a normatively incorrect decision with respect to personalization strategy. Contrary to popular belief, the results of this study indicate that personalization may not be uniformly beneficial in terms of customer loyalty to all retailers. Although a majority of retailers pursue transaction personalization and realize benefits by way of improved customer loyalty, we find that the choice of a retailer to pursue decision personalization is self-selected and dependent on idiosyncratic characteristics related to its operating context. Retailers that have relatively large-scale operations, provide greater variety and realize higher customer satisfaction with product selection, and that do not necessarily compete on price (i.e., realize lower customer satisfaction with prices relative to competing retailers) are more likely to pursue the decision personalization strategy. Although some retailers pursue decision personalization because they clearly stand to benefit from doing so, other retailers are better off not following suit. Theoretical contributions of the study, managerial implications of the study findings, limitations, and directions for future research are identified.

Suggested Citation

  • Sriram Thirumalai & Kingshuk K. Sinha, 2013. "To Personalize or Not to Personalize Online Purchase Interactions: Implications of Self-Selection by Retailers," Information Systems Research, INFORMS, vol. 24(3), pages 683-708, September.
  • Handle: RePEc:inm:orisre:v:24:y:2013:i:3:p:683-708
    DOI: 10.1287/isre.1120.0471
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.1120.0471
    Download Restriction: no

    File URL: https://libkey.io/10.1287/isre.1120.0471?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ramnath K. Chellappa & Shivendu Shivendu, 2010. "Mechanism Design for "Free" but "No Free Disposal" Services: The Economics of Personalization Under Privacy Concerns," Management Science, INFORMS, vol. 56(10), pages 1766-1780, October.
    2. Karen Clay & Ramayya Krishnan & Eric Wolff, 2001. "Prices and Price Dispersion on the Web: Evidence from the Online Book Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 49(4), pages 521-539, December.
    3. Dengpan Liu & Sumit Sarkar & Chelliah Sriskandarajah, 2010. "Resource Allocation Policies for Personalization in Content Delivery Sites," Information Systems Research, INFORMS, vol. 21(2), pages 227-248, June.
    4. Kar Yan Tam & Shuk Ying Ho, 2005. "Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective," Information Systems Research, INFORMS, vol. 16(3), pages 271-291, September.
    5. Doidge, Craig & Karolyi, G. Andrew & Stulz, Rene M., 2004. "Why are foreign firms listed in the U.S. worth more?," Journal of Financial Economics, Elsevier, vol. 71(2), pages 205-238, February.
    6. Pei-Yu (Sharon) Chen & Lorin M. Hitt, 2002. "Measuring Switching Costs and the Determinants of Customer Retention in Internet-Enabled Businesses: A Study of the Online Brokerage Industry," Information Systems Research, INFORMS, vol. 13(3), pages 255-274, September.
    7. Kevin Zhu & Kenneth L. Kraemer, 2002. "e-Commerce Metrics for Net-Enhanced Organizations: Assessing the Value of e-Commerce to Firm Performance in the Manufacturing Sector," Information Systems Research, INFORMS, vol. 13(3), pages 275-295, September.
    8. Michael C. Jensen, 1994. "Self‐Interest, Altruism, Incentives, And Agency Theory," Journal of Applied Corporate Finance, Morgan Stanley, vol. 7(2), pages 40-45, June.
    9. Jinwoo Kim & Jungwon Lee & Kwanghee Han & Moonkyu Lee, 2002. "Businesses as Buildings: Metrics for the Architectural Quality of Internet Businesses," Information Systems Research, INFORMS, vol. 13(3), pages 239-254, September.
    10. Shuk Ying Ho & David Bodoff & Kar Yan Tam, 2011. "Timing of Adaptive Web Personalization and Its Effects on Online Consumer Behavior," Information Systems Research, INFORMS, vol. 22(3), pages 660-679, September.
    11. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    12. Soon Ang & Larry L. Cummings, 1997. "Strategic Response to Institutional Influences on Information Systems Outsourcing," Organization Science, INFORMS, vol. 8(3), pages 235-256, June.
    13. Neeraj Arora & Xavier Dreze & Anindya Ghose & James Hess & Raghuram Iyengar & Bing Jing & Yogesh Joshi & V. Kumar & Nicholas Lurie & Scott Neslin & S. Sajeesh & Meng Su & Niladri Syam & Jacquelyn Thom, 2008. "Putting one-to-one marketing to work: Personalization, customization, and choice," Marketing Letters, Springer, vol. 19(3), pages 305-321, December.
    14. Nanda Kumar & Izak Benbasat, 2006. "Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites," Information Systems Research, INFORMS, vol. 17(4), pages 425-439, December.
    15. B. P. S. Murthi & Sumit Sarkar, 2003. "The Role of the Management Sciences in Research on Personalization," Management Science, INFORMS, vol. 49(10), pages 1344-1362, October.
    16. Vicki McKinney & Kanghyun Yoon & Fatemeh “Mariam” Zahedi, 2002. "The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach," Information Systems Research, INFORMS, vol. 13(3), pages 296-315, September.
    17. Ronald T. Cenfetelli & Izak Benbasat & Sameh Al-Natour, 2008. "Addressing the What and How of Online Services: Positioning Supporting-Services Functionality and Service Quality for Business-to-Consumer Success," Information Systems Research, INFORMS, vol. 19(2), pages 161-181, June.
    18. N. Venkatraman & John E. Prescott, 1990. "Environment‐strategy coalignment: An empirical test of its performance implications," Strategic Management Journal, Wiley Blackwell, vol. 11(1), pages 1-23, January.
    19. Masten, Scott E & Meehan, James W, Jr & Snyder, Edward A, 1991. "The Costs of Organization," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 7(1), pages 1-25, Spring.
    20. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    21. Jonathan W. Palmer, 2002. "Web Site Usability, Design, and Performance Metrics," Information Systems Research, INFORMS, vol. 13(2), pages 151-167, June.
    22. Robert S. Huckman & Darren E. Zinner, 2008. "Does focus improve operational performance? Lessons from the management of clinical trials," Strategic Management Journal, Wiley Blackwell, vol. 29(2), pages 173-193, February.
    23. Karen Clay & Ramayya Krishnan & Eric Wolff, 2001. "Prices and Price Dispersion on the Web: Evidence from the Online Book Industry," NBER Chapters, in: E-commerce, pages 521-539, National Bureau of Economic Research, Inc.
    24. J. Myles Shaver, 1998. "Accounting for Endogeneity When Assessing Strategy Performance: Does Entry Mode Choice Affect FDI Survival?," Management Science, INFORMS, vol. 44(4), pages 571-585, April.
    25. Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.
    26. Ritu Agarwal & Animesh Animesh & Kislaya Prasad, 2009. "Research Note---Social Interactions and the “Digital Divide”: Explaining Variations in Internet Use," Information Systems Research, INFORMS, vol. 20(2), pages 277-294, June.
    27. Chris Forman, 2005. "The Corporate Digital Divide: Determinants of Internet Adoption," Management Science, INFORMS, vol. 51(4), pages 641-654, April.
    28. Corey M. Angst & Ritu Agarwal & V. Sambamurthy & Ken Kelley, 2010. "Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals," Management Science, INFORMS, vol. 56(8), pages 1219-1241, August.
    29. Pradeep K. Chintagunta & Shyam Gopinath & Sriram Venkataraman, 2010. "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets," Marketing Science, INFORMS, vol. 29(5), pages 944-957, 09-10.
    30. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hallikainen, Heli & Luongo, Milena & Dhir, Amandeep & Laukkanen, Tommi, 2022. "Consequences of personalized product recommendations and price promotions in online grocery shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
    2. Heeseung Andrew Lee & Angela Aerry Choi & Tianshu Sun & Wonseok Oh, 2021. "Reviewing Before Reading? An Empirical Investigation of Book-Consumption Patterns and Their Effects on Reviews and Sales," Information Systems Research, INFORMS, vol. 32(4), pages 1368-1389, December.
    3. Pradip Swarnakar & Ajay Kumar & Sanjay Kumar, 2016. "Why generation Y prefers online shopping: a study of young customers of India," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(3), pages 215-232.
    4. Arnold, René & Hildebrandt, Christian & Taş, Serpil, 2020. "European data economy: Between competition and regulation. Final report," Study Series, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, number 251538, December.
    5. Lee, Myounggu & Cho, Jihoon & Kim, Youngju & Kim, Hye-Jin, 2023. "Impact of movie-watching on cross-selling revenue in shopping malls: Implications for post-pandemic recovery," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    6. Zhang, Hong & Zhao, Ling & Gupta, Sumeet, 2018. "The role of online product recommendations on customer decision making and loyalty in social shopping communities," International Journal of Information Management, Elsevier, vol. 38(1), pages 150-166.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Detmar W. Straub & Donna L. Hoffman & Bruce W. Weber & Charles Steinfield, 2002. "Toward New Metrics for Net-Enhanced Organizations," Information Systems Research, INFORMS, vol. 13(3), pages 227-238, September.
    2. Heinze, Nathan & Hu, Qing, 2006. "The evolution of corporate web presence: A longitudinal study of large American companies," International Journal of Information Management, Elsevier, vol. 26(4), pages 313-325.
    3. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    4. Chen, Qian & Gong, Yeming & Lu, Yaobin & Tang, Jing, 2022. "Classifying and measuring the service quality of AI chatbot in frontline service," Journal of Business Research, Elsevier, vol. 145(C), pages 552-568.
    5. Lambillotte, Laetitia & Magrofuoco, Nathan & Poncin, Ingrid & Vanderdonckt, Jean, 2022. "Enhancing playful customer experience with personalization," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    6. Zhang, Hong & Zhao, Ling & Gupta, Sumeet, 2018. "The role of online product recommendations on customer decision making and loyalty in social shopping communities," International Journal of Information Management, Elsevier, vol. 38(1), pages 150-166.
    7. Xin Xu & James Y. L. Thong & Viswanath Venkatesh, 2014. "Effects of ICT Service Innovation and Complementary Strategies on Brand Equity and Customer Loyalty in a Consumer Technology Market," Information Systems Research, INFORMS, vol. 25(4), pages 710-729, December.
    8. Xueming Luo & Xianghua Lu & Jing Li, 2019. "When and How to Leverage E-commerce Cart Targeting: The Relative and Moderated Effects of Scarcity and Price Incentives with a Two-Stage Field Experiment and Causal Forest Optimization," Information Systems Research, INFORMS, vol. 30(4), pages 1203-1227, December.
    9. Chen, Xiayu & Huang, Qian & Davison, Robert M., 2017. "The role of website quality and social capital in building buyers’ loyalty," International Journal of Information Management, Elsevier, vol. 37(1), pages 1563-1574.
    10. Fernández Olmos, Marta, 2010. "The performance implications of "grow or buy" decisions in the wine industry," Food Policy, Elsevier, vol. 35(3), pages 256-264, June.
    11. Jianan Wu & Victor J. Cook & Edward C. Strong, 2005. "A Two-Stage Model of the Promotional Performance of Pure Online Firms," Information Systems Research, INFORMS, vol. 16(4), pages 334-351, December.
    12. Felipe Thomaz & Carolina Salge & Elena Karahanna & John Hulland, 2020. "Learning from the Dark Web: leveraging conversational agents in the era of hyper-privacy to enhance marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 43-63, January.
    13. Alexia Gaudeul, 2010. "Software marketing on the Internet: the use of samples and repositories," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 19(3), pages 259-281.
    14. Haizhen Lin & Yijia Wang, 2012. "Competition and Price Discrimination in the Parking Garage Industry," Working Papers 2012-07, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    15. Daniel Zeng & Yong Liu & Ping Yan & Yanwu Yang, 2021. "Location-Aware Real-Time Recommender Systems for Brick-and-Mortar Retailers," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1608-1623, October.
    16. Christophe Bezes, 2009. "E-Commerce Website Evaluation: A Critical Review," Working Papers hal-00611008, HAL.
    17. Aguirre, Elizabeth & Mahr, Dominik & Grewal, Dhruv & de Ruyter, Ko & Wetzels, Martin, 2015. "Unraveling the Personalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness," Journal of Retailing, Elsevier, vol. 91(1), pages 34-49.
    18. Alan L. Montgomery & Kartik Hosanagar & Ramayya Krishnan & Karen B. Clay, 2004. "Designing a Better Shopbot," Management Science, INFORMS, vol. 50(2), pages 189-206, February.
    19. Yunhui Huang & Kai H. Lim & Zhijie Lin & Shunping Han, 2019. "Large Online Product Catalog Space Indicates High Store Price: Understanding Customers’ Overgeneralization and Illogical Inference," Information Systems Research, INFORMS, vol. 30(3), pages 963-979, September.
    20. Bleier, Alexander & Eisenbeiss, Maik, 2015. "The Importance of Trust for Personalized Online Advertising," Journal of Retailing, Elsevier, vol. 91(3), pages 390-409.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orisre:v:24:y:2013:i:3:p:683-708. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.