IDEAS home Printed from https://ideas.repec.org/a/bla/popmgt/v32y2023i10p3158-3173.html
   My bibliography  Save this article

Effects of store fixture shape at retail checkout: Evidence from field and online studies

Author

Listed:
  • Xiaoling Zhang
  • Ke Zhang
  • Shibo Li
  • Damien Koenitz

Abstract

Previous research from both marketing and operations management has shown that servicescape design, as an effective retail operations strategy, can significantly influence consumers’ purchases. We extend this literature by investigating how fixture shape, an important environmental factor that has received little attention in previous studies, can influence consumer purchase intentions at retail checkout. Findings from a field study and three online experiments consistently suggest that tower‐shaped fixtures, in comparison to other conventional fixtures, can increase checkout purchase intentions. Moreover, the proposed effect is driven by the increased visual attention to products when displayed on tower fixtures. We also identify consumers’ information processing style (i.e., more vs. less reliant on visual processing) as a theoretically relevant moderator. Specifically, customers who rely more heavily on visual information processing are more susceptible to the influence of a tower fixture than those who rely less on visual information processing. Through this research, we contribute novel insights to the understanding of display fixtures and retail operation management. This study augments the design task from product shape to fixture shape for manufacturers, and sheds light on retailer merchandising strategy as well as retail space management at checkout.

Suggested Citation

  • Xiaoling Zhang & Ke Zhang & Shibo Li & Damien Koenitz, 2023. "Effects of store fixture shape at retail checkout: Evidence from field and online studies," Production and Operations Management, Production and Operations Management Society, vol. 32(10), pages 3158-3173, October.
  • Handle: RePEc:bla:popmgt:v:32:y:2023:i:10:p:3158-3173
    DOI: 10.1111/poms.14028
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/poms.14028
    Download Restriction: no

    File URL: https://libkey.io/10.1111/poms.14028?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. Hussain, Riaz & Ali, Mazhar, 2015. "Effect of Store Atmosphere on Consumer Purchase Intention," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(2), pages 35-43.
    2. Dengfeng Yan & Jaideep Sengupta & Jiewen Hong, 2016. "Why Does Psychological Distance Influence Construal Level? The Role of Processing Mode," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 43(4), pages 598-613.
    3. Ruomeng Cui & Santiago Gallino & Antonio Moreno & Dennis J. Zhang, 2018. "The Operational Value of Social Media Information," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1749-1769, October.
    4. Necati Ertekin & Michael E. Ketzenberg & Gregory R. Heim, 2020. "Assessing Impacts of Store and Salesperson Dimensions of Retail Service Quality on Consumer Returns," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1232-1255, May.
    5. Childers, Terry L & Houston, Michael J & Heckler, Susan E, 1985. "Measurement of Individual Differences in Visual versus Verbal Information Processing," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(2), pages 125-134, September.
    6. Yuwei Jiang & Gerald J. Gorn & Maria Galli & Amitava Chattopadhyay, 2016. "Does Your Company Have the Right Logo? How and Why Circular- and Angular-Logo Shapes Influence Brand Attribute Judgments," Journal of Consumer Research, Oxford University Press, vol. 42(5), pages 709-726.
    7. Ying Ding & Yanping Tu & Jingchuan Pu & Liangfei Qiu, 2021. "Environmental Factors in Operations Management: The Impact of Air Quality on Product Demand," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 2910-2924, September.
    8. Canan Ulu & Dorothée Honhon & Aydın Alptekinoğlu, 2012. "Learning Consumer Tastes Through Dynamic Assortments," Operations Research, INFORMS, vol. 60(4), pages 833-849, August.
    9. Jeremy M. Wolfe & Todd S. Horowitz, 2017. "Five factors that guide attention in visual search," Nature Human Behaviour, Nature, vol. 1(3), pages 1-8, March.
    10. Mou, Shandong & Robb, David J. & DeHoratius, Nicole, 2018. "Retail store operations: Literature review and research directions," European Journal of Operational Research, Elsevier, vol. 265(2), pages 399-422.
    11. Edward A. Silver, 1981. "Operations Research in Inventory Management: A Review and Critique," Operations Research, INFORMS, vol. 29(4), pages 628-645, August.
    12. Xin Chen & Melvyn Sim & David Simchi-Levi & Peng Sun, 2007. "Risk Aversion in Inventory Management," Operations Research, INFORMS, vol. 55(5), pages 828-842, October.
    13. repec:cup:judgdm:v:3:y:2008:i::p:396-403 is not listed on IDEAS
    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. Robert P. Rooderkerk & Nicole DeHoratius & Andrés Musalem, 2022. "The past, present, and future of retail analytics: Insights from a survey of academic research and interviews with practitioners," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3727-3748, October.
    2. Kim, Jungkeun & Hwang, Euejung & Phillips, Megan & Jang, Sungha & Kim, Jae-Eun & Spence, Mark T. & Park, Jongwon, 2018. "Mediation analysis revisited: Practical suggestions for addressing common deficiencies," Australasian marketing journal, Elsevier, vol. 26(1), pages 59-64.
    3. Zheng, Chundong & Qian, Fangyuan & Song, Jiehang & Wang, Han, 2024. "Make the photo in good shape: The matching effect of photo shapes and donation appeals on donation intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    4. Xiaoyu Wang & Hean Tat Keh & Hongrui Zhao & Yijie Ai, 2020. "Touch vs. click: how computer interfaces polarize consumers’ evaluations," Marketing Letters, Springer, vol. 31(2), pages 265-277, September.
    5. Haiyang Huang & Yuanyuan Cai & Lisha Xu, 2021. "Stability or instability: the impact of brand concepts on logo design preferences," Journal of Brand Management, Palgrave Macmillan, vol. 28(5), pages 465-480, September.
    6. Ying Ding & Yanping Tu & Jingchuan Pu & Liangfei Qiu, 2021. "Environmental Factors in Operations Management: The Impact of Air Quality on Product Demand," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 2910-2924, September.
    7. Cédrick Gautier, 2017. "L'imagerie mentale et les effets des visuels présents sur les sites web hôteliers," Post-Print hal-03373340, HAL.
    8. Marshall Fisher & Ananth Raman, 2022. "Innovations in retail operations: Thirty years of lessons from Production and Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4452-4461, December.
    9. Aparna Sundar & James J. Kellaris, 2017. "How Logo Colors Influence Shoppers’ Judgments of Retailer Ethicality: The Mediating Role of Perceived Eco-Friendliness," Journal of Business Ethics, Springer, vol. 146(3), pages 685-701, December.
    10. Chou, Ping & Chuang, Howard Hao-Chun & Chou, Yen-Chun & Liang, Ting-Peng, 2022. "Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning," European Journal of Operational Research, Elsevier, vol. 296(2), pages 635-651.
    11. Mahmut Parlar & David Perry, 1996. "Inventory models of future supply uncertainty with single and multiple suppliers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(2), pages 191-210, March.
    12. Serrano, Breno & Minner, Stefan & Schiffer, Maximilian & Vidal, Thibaut, 2024. "Bilevel optimization for feature selection in the data-driven newsvendor problem," European Journal of Operational Research, Elsevier, vol. 315(2), pages 703-714.
    13. Shahzad Nasim & Musarrat Shamshir, 2018. "Consumer Behavior Towards Shopping Malls: A Systematic Narrative Review," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 14(1), pages 81-94.
    14. Wedel, M. & Bijmolt, T.H.A., 1998. "Mixed Tree and Spatial Representation of Dissimilarity Judgments," Discussion Paper 1998-109, Tilburg University, Center for Economic Research.
    15. Nan Yang & Renyu Zhang, 2022. "Dynamic pricing and inventory management in the presence of online reviews," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3180-3197, August.
    16. Rosa, José Antonio & Qualls, William J. & Ruth, Julie A., 2014. "Consumer creativity: Effects of gender and variation in the richness of vision and touch inputs," Journal of Business Research, Elsevier, vol. 67(3), pages 386-393.
    17. Schmid, Verena & Doerner, Karl F. & Laporte, Gilbert, 2013. "Rich routing problems arising in supply chain management," European Journal of Operational Research, Elsevier, vol. 224(3), pages 435-448.
    18. Tuan Pham, Michel & Meyvis, Tom & Zhou, Rongrong, 2001. "Beyond the Obvious: Chronic Vividness of Imagery and the Use of Information in Decision Making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 84(2), pages 226-253, March.
    19. Arzum Akkaş & Nachiketa Sahoo, 2020. "Reducing Product Expiration by Aligning Salesforce Incentives: A Data‐driven Approach," Production and Operations Management, Production and Operations Management Society, vol. 29(8), pages 1992-2009, August.
    20. Wesley Marcos Almeida & Claudimar Pereira Veiga, 2023. "Does demand forecasting matter to retailing?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 219-232, June.

    More about this item

    Statistics

    Access and download statistics

    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:bla:popmgt:v:32:y:2023:i:10:p:3158-3173. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1937-5956 .

    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.