IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v69y2023i8p4558-4578.html
   My bibliography  Save this article

Measuring the Factors Influencing Purchasing Decisions: Evidence From Cursor Tracking and Cognitive Modeling

Author

Listed:
  • Geoffrey Fisher

    (Dyson School of Applied Economics and Management, SC Johnson College of Business, Cornell University, Ithaca, New York 14853)

Abstract

Whether to purchase a product is of fundamental importance to marketing, but purchasing behaviors vary widely across individuals and contexts. This paper proposes that a sizeable fraction of this variation is associated with differences in the time at which a product’s desirability and its price are processed and utilized by consumers. To test this hypothesis, participants purchased different products while their mouse cursor movements associated with purchasing an option were recorded across three laboratory studies. These natural cursor movements and estimates from a cognitive model identified the time at which product desirability and price each began to influence decisions. On average, we found that product desirability impacted the decision-making process significantly earlier than price. Moreover, the difference in the time at which product and price influenced choice explained a sizeable fraction of the variation in the option that was purchased. Additional analysis and studies revealed that the time at which an attribute begins to influence decisions can be altered by simple marketing actions, such as a product’s visual display and price discount framing, and that these actions have consequences for choice. Together, these results add to our understanding of how consumers make simple purchasing decisions.

Suggested Citation

  • Geoffrey Fisher, 2023. "Measuring the Factors Influencing Purchasing Decisions: Evidence From Cursor Tracking and Cognitive Modeling," Management Science, INFORMS, vol. 69(8), pages 4558-4578, August.
  • Handle: RePEc:inm:ormnsc:v:69:y:2023:i:8:p:4558-4578
    DOI: 10.1287/mnsc.2022.4598
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2022.4598
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2022.4598?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. Drew Fudenberg & Philipp Strack & Tomasz Strzalecki, 2018. "Speed, Accuracy, and the Optimal Timing of Choices," American Economic Review, American Economic Association, vol. 108(12), pages 3651-3684, December.
    2. Simonson, Itamar, 1989. "Choice Based on Reasons: The Case of Attraction and Compromise Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(2), pages 158-174, September.
    3. Michel Wedel & Rik Pieters, 2000. "Eye Fixations on Advertisements and Memory for Brands: A Model and Findings," Marketing Science, INFORMS, vol. 19(4), pages 297-312, October.
    4. Paul E. Stillman & Melissa J. Ferguson, 2019. "Decisional Conflict Predicts Impatience," Journal of the Association for Consumer Research, University of Chicago Press, vol. 4(1), pages 47-56.
    5. Cary Frydman & Gideon Nave, 2017. "Extrapolative Beliefs in Perceptual and Economic Decisions: Evidence of a Common Mechanism," Management Science, INFORMS, vol. 63(7), pages 2340-2352, July.
    6. Min Ding & Rajdeep Grewal & John Liechty, 2005. "Incentive-aligned conjoint analysis," Framed Field Experiments 00139, The Field Experiments Website.
    7. Dan Ariely & George Loewenstein & Drazen Prelec, 2003. ""Coherent Arbitrariness": Stable Demand Curves Without Stable Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 73-106.
    8. Eric J. Johnson & David A. Schkade, 1989. "Bias in Utility Assessments: Further Evidence and Explanations," Management Science, INFORMS, vol. 35(4), pages 406-424, April.
    9. Daniel M. Bartels & Oleg Urminsky, 2015. "To Know and to Care: How Awareness and Valuation of the Future Jointly Shape Consumer Spending," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(6), pages 1469-1485.
    10. Gerald Häubl & Benedict G. C. Dellaert & Bas Donkers, 2010. "Tunnel Vision: Local Behavioral Influences on Consumer Decisions in Product Search," Marketing Science, INFORMS, vol. 29(3), pages 438-455, 05-06.
    11. Michael Woodford, 2014. "Stochastic Choice: An Optimizing Neuroeconomic Model," American Economic Review, American Economic Association, vol. 104(5), pages 495-500, May.
    12. Ryan Webb, 2019. "The (Neural) Dynamics of Stochastic Choice," Management Science, INFORMS, vol. 65(1), pages 230-255, January.
    13. Silvia U. Maier & Anjali Raja Beharelle & Rafael Polanía & Christian C. Ruff & Todd A. Hare, 2020. "Dissociable mechanisms govern when and how strongly reward attributes affect decisions," Nature Human Behaviour, Nature, vol. 4(9), pages 949-963, September.
    14. Savannah Wei Shi & Michel Wedel & F. G. M. (Rik) Pieters, 2013. "Information Acquisition During Online Decision Making: A Model-Based Exploration Using Eye-Tracking Data," Management Science, INFORMS, vol. 59(5), pages 1009-1026, May.
    15. Nicolette J. Sullivan & Scott A. Huettel, 2021. "Healthful choices depend on the latency and rate of information accumulation," Nature Human Behaviour, Nature, vol. 5(12), pages 1698-1706, December.
    16. repec:cup:judgdm:v:3:y:2008:i::p:396-403 is not listed on IDEAS
    17. Arkady Konovalov & Ian Krajbich, 2016. "Gaze data reveal distinct choice processes underlying model-based and model-free reinforcement learning," Nature Communications, Nature, vol. 7(1), pages 1-11, November.
    18. Busemeyer, Jerome R. & Diederich, Adele, 2002. "Survey of decision field theory," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 345-370, July.
    19. Anil Kaul & Dick R. Wittink, 1995. "Empirical Generalizations About the Impact of Advertising on Price Sensitivity and Price," Marketing Science, INFORMS, vol. 14(3_supplem), pages 151-160.
    20. Min Ding & Young-Hoon Park & Eric T. Bradlow, 2009. "Barter Markets for Conjoint Analysis," Management Science, INFORMS, vol. 55(6), pages 1003-1017, June.
    21. Olivier Toubia & Martijn G. de Jong & Daniel Stieger & Johann Füller, 2012. "Measuring Consumer Preferences Using Conjoint Poker," Marketing Science, INFORMS, vol. 31(1), pages 138-156, January.
    Full references (including those not matched with items on IDEAS)

    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. Fisher, Geoffrey, 2021. "A multiattribute attentional drift diffusion model," Organizational Behavior and Human Decision Processes, Elsevier, vol. 165(C), pages 167-182.
    2. Geoffrey Fisher, 2021. "Intertemporal Choices Are Causally Influenced by Fluctuations in Visual Attention," Management Science, INFORMS, vol. 67(8), pages 4961-4981, August.
    3. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    4. Steffen Altmann & Armin Falk & Paul Heidhues & Rajshri Jayaraman & Marrit Teirlinck, 2019. "Defaults and Donations: Evidence from a Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 808-826, December.
    5. S. Cerreia-Vioglio & F. Maccheroni & M. Marinacci & A. Rustichini, 2017. "Multinomial logit processes and preference discovery: inside and outside the black box," Working Papers 615, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    6. Andrew Schotter & Isabel Trevino, 2021. "Is response time predictive of choice? An experimental study of threshold strategies," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 87-117, March.
    7. Olivier Toubia & Martijn G. de Jong & Daniel Stieger & Johann Füller, 2012. "Measuring Consumer Preferences Using Conjoint Poker," Marketing Science, INFORMS, vol. 31(1), pages 138-156, January.
    8. Arkady Konovalov & Ian Krajbich, 2016. "Revealed Indifference: Using Response Times to Infer Preferences," Working Papers 16-01, Ohio State University, Department of Economics.
    9. Lichters, Marcel & Müller, Holger & Sarstedt, Marko & Vogt, Bodo, 2016. "How durable are compromise effects?," Journal of Business Research, Elsevier, vol. 69(10), pages 4056-4064.
    10. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    11. Qing Liu & Yihui (Elina) Tang, 2015. "Construction of Heterogeneous Conjoint Choice Designs: A New Approach," Marketing Science, INFORMS, vol. 34(3), pages 346-366, May.
    12. Michel Wedel & Rik Pieters & Ralf Lans, 2023. "Modeling Eye Movements During Decision Making: A Review," Psychometrika, Springer;The Psychometric Society, vol. 88(2), pages 697-729, June.
    13. Arkady Konovalov & Ian Krajbich, 2019. "Revealed strength of preference: Inference from response times," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(4), pages 381-394, July.
    14. Duffy, Sean & Smith, John, 2020. "An economist and a psychologist form a line: What can imperfect perception of length tell us about stochastic choice?," MPRA Paper 99417, University Library of Munich, Germany.
    15. Cary Frydman & Ian Krajbich, 2022. "Using Response Times to Infer Others’ Private Information: An Application to Information Cascades," Management Science, INFORMS, vol. 68(4), pages 2970-2986, April.
    16. Stephanie M. Smith & Ian Krajbich & Ryan Webb, 2019. "Estimating the dynamic role of attention via random utility," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 97-111, August.
    17. Zuschke, Nick, 2020. "The impact of task complexity and task motivation on in-store marketing effectiveness: An eye tracking analysis," Journal of Business Research, Elsevier, vol. 116(C), pages 337-350.
    18. Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci, 2020. "Multinomial logit processes and preference discovery: outside and inside the black box," Working Papers 663, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    19. repec:cup:judgdm:v:14:y:2019:i:4:p:381-394 is not listed on IDEAS
    20. Chavez, Daniel E. & Palma, Marco A. & Nayga, Rodolfo M. & Mjelde, James W., 2020. "Product availability in discrete choice experiments with private goods," Journal of choice modelling, Elsevier, vol. 36(C).
    21. Jonas Schmidt & Tammo H. A. Bijmolt, 2020. "Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 499-518, May.

    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:ormnsc:v:69:y:2023:i:8:p:4558-4578. 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.