IDEAS home Printed from https://ideas.repec.org/a/sae/jjlobr/v7y2018i2p122-134.html
   My bibliography  Save this article

Examining the Effectiveness of Huff Model in Store Performance Assessment

Author

Listed:
  • Vikas Singla
  • Harpreet Rai

Abstract

Huff model and its variants have been used extensively in location decision making. This study has compared two versions of Huff model of location decision making in their appropriateness to analyze sales performance of selected shopping center. The sales have been estimated by using original Huff model given by David L. Huff (1964, Journal of Marketing , 28 , 34–38) and modified version of it is suggested by Li and Liu in 2012 ( Applied Geography , 32 , 591–600). The modified version considered the effects of agglomeration and competition on similar stores. But the selected stores were standalone stores. In this study instead, a famous shopping mall consisting of cluster of stores, which create bundling effect and provide more choices to customers, has been used to understand the effectiveness of discussed two versions of Huff model. The results were obtained for different agglomeration and competition factors in case of modified Huff model. These different factors were found to have significant influence on estimation of sales suggesting utmost care in their selection. Overall modified version was found to be more suitable in fulfilling the objective.

Suggested Citation

  • Vikas Singla & Harpreet Rai, 2018. "Examining the Effectiveness of Huff Model in Store Performance Assessment," Jindal Journal of Business Research, , vol. 7(2), pages 122-134, December.
  • Handle: RePEc:sae:jjlobr:v:7:y:2018:i:2:p:122-134
    DOI: 10.1177/2278682118777033
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2278682118777033
    Download Restriction: no

    File URL: https://libkey.io/10.1177/2278682118777033?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. Dinesh Kumar Gauri & Janos Gabor Pauler & Minakshi Trivedi, 2009. "Benchmarking Performance in Retail Chains: An Integrated Approach," Marketing Science, INFORMS, vol. 28(3), pages 502-515, 05-06.
    2. Teller, Christoph & Reutterer, Thomas, 2008. "The evolving concept of retail attractiveness: What makes retail agglomerations attractive when customers shop at them?," Journal of Retailing and Consumer Services, Elsevier, vol. 15(3), pages 127-143.
    3. Vikas Singla & Harpreet Rai, 2016. "Investigating the effects of retail agglomeration choice behavior on store attractiveness," Journal of Marketing Analytics, Palgrave Macmillan, vol. 4(2), pages 108-124, July.
    4. Picone, Gabriel A. & Ridley, David B. & Zandbergen, Paul A., 2009. "Distance decreases with differentiation: Strategic agglomeration by retailers," International Journal of Industrial Organization, Elsevier, vol. 27(3), pages 463-473, May.
    5. Lars Meyer-Waarden & Christophe Benavent, 2009. "Grocery retail loyalty program effects: self-selection or purchase behavior change?," Post-Print hal-01913030, HAL.
    6. Merino, María & Ramirez-Nafarrate, Adrian, 2016. "Estimation of retail sales under competitive location in Mexico," Journal of Business Research, Elsevier, vol. 69(2), pages 445-451.
    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. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
    2. Vikas Singla & Harpreet Rai, 2016. "Investigating the effects of retail agglomeration choice behavior on store attractiveness," Journal of Marketing Analytics, Palgrave Macmillan, vol. 4(2), pages 108-124, July.
    3. Wieland, Thomas, 2014. "Räumliches Einkaufsverhalten und Standortpolitik im Einzelhandel unter Berücksichtigung von Agglomerationseffekten: Theoretische Erklärungsansätze, modellanalytische Zugänge und eine empirisch-ökonome," MPRA Paper 77163, University Library of Munich, Germany.
    4. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2022. "Retail forecasting: Research and practice," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1283-1318.
    5. Isabelle M. Nilsson & Oleg A. Smirnov, 2017. "Clustering vs. relative location: Measuring spatial interaction between retail outlets," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 721-741, November.
    6. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
    7. Bruneau, Virginie & Swaen, Valérie & Zidda, Pietro, 2018. "Are loyalty program members really engaged? Measuring customer engagement with loyalty programs," Journal of Business Research, Elsevier, vol. 91(C), pages 144-158.
    8. Faramarzi, Ashkan & Bhattacharya, Abhi, 2021. "The economic worth of loyalty programs: An event study analysis," Journal of Business Research, Elsevier, vol. 123(C), pages 313-323.
    9. Gilboa, Shaked & Mitchell, Vince, 2020. "The role of culture and purchasing power parity in shaping mall-shoppers’ profiles," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    10. Tunca, Burak & Anselmsson, Johan, 2019. "‘You are where you shop’: Examining stereotypes about town center shoppers," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 242-252.
    11. Angelito Calma & José Martí-Parreño & Martin Davies, 2019. "Journal of the Academy of Marketing Science 1973–2018: an analytical retrospective," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 879-908, May.
    12. Eun Yeong Seong & Youngjae Lim & Chang Gyu Choi, 2022. "Why are convenience stores clustered? The reasons behind the clustering of similar shops and the effect of increased competition," Environment and Planning B, , vol. 49(3), pages 834-846, March.
    13. Yi Deng & Gabriel Picone, 2013. "Strategic Clustering and Competition by Alcohol Retailers: An Emperical Anlysis of Entry and Location Decisions," Working Papers 1013, University of South Florida, Department of Economics.
    14. Daiji Kawaguchi & Keisuke Kawata & Chigusa Okamoto, 2024. "Urban Redevelopment Program and Demand Externality," CIRJE F-Series CIRJE-F-1227, CIRJE, Faculty of Economics, University of Tokyo.
    15. Trivedi, Minakshi, 2011. "Regional and Categorical Patterns in Consumer Behavior: Revealing Trends," Journal of Retailing, Elsevier, vol. 87(1), pages 18-30.
    16. Éric Marcon & Florence Puech, 2023. "Mapping distributions in non-homogeneous space with distance-based methods [Cartographie des distributions dans un espace non homogène à l'aide de méthodes basées sur la distance]," Post-Print hal-04345149, HAL.
    17. Heijnen, Pim & Soetevent, Adriaan R., 2018. "Price competition on graphs," Journal of Economic Behavior & Organization, Elsevier, vol. 146(C), pages 161-179.
    18. Sven-Olov Daunfeldt & Oana Mihaescu & Niklas Rudholm, 2022. "The Decline of Small Cities: Increased Competition from External Shopping Malls or Long-Term Negative Trends?," International Regional Science Review, , vol. 45(2), pages 225-257, March.
    19. Bartłomiej Marona & Anna Wilk, 2016. "Tenant mix structure in shopping centres: some empirical analyses from Poland," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 4(2), pages 51-65.
    20. Pramono, Ari & Oppewal, Harmen, 2021. "Where to refuel: Modeling on-the-way choice of convenience outlet," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).

    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:sae:jjlobr:v:7:y:2018:i:2:p:122-134. 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: SAGE Publications (email available below). General contact details of provider: .

    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.