IDEAS home Printed from https://ideas.repec.org/a/lrc/larijb/v9y2019i3p52-60.html
   My bibliography  Save this article

Influence of Shelf Space Arrangement on Buying Behavior

Author

Listed:
  • Md. FarhanFaruqui

    (Assistant professor, East West University, Bangladesh.)

  • Fabliha Tasnim Hride

    (BBA Graduate, East West University, Bangladesh.)

Abstract

Background and purpose:In the retail industry shelf space competition are common phenomena from many decades. Shelves are organized very attractively with many offers and variety of option choices. The purpose of the study to analyze shelf space influence on consumer buying behavior in the retail store.Methods:171 samples were taken by using multi-stage cluster sampling and systematic random sampling from Bangladesh. Three independent variables; shelf display, shelf position and product assortment were used to measure consumer buying behavior. Regression analysis, ANOVA, Tukey HSD, K-means clustering were used to analyze data. Findings:All the variables, shelf display, shelf position and product assortment, influence buying behavior significantly. Respondents can be divided into three cluster group in terms of their buying behavior. Conclusion:Retailers have to provide more emphasis on shelf arrangement because consumers are highly influenced by shelf decoration, layout, and style.

Suggested Citation

  • Md. FarhanFaruqui & Fabliha Tasnim Hride, 2019. "Influence of Shelf Space Arrangement on Buying Behavior," International Journal of Business and Social Research, LAR Center Press, vol. 9(3), pages 52-60, March.
  • Handle: RePEc:lrc:larijb:v:9:y:2019:i:3:p:52-60
    as

    Download full text from publisher

    File URL: https://thejournalofbusiness.org/index.php/site/article/view/1173/712
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liljander, Veronica & Polsa, Pia & van Riel, Allard, 2009. "Modelling consumer responses to an apparel store brand: Store image as a risk reducer," Journal of Retailing and Consumer Services, Elsevier, vol. 16(4), pages 281-290.
    2. 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.
    3. Preyas S. Desai, 2000. "Multiple Messages to Retain Retailers: Signaling New Product Demand," Marketing Science, INFORMS, vol. 19(4), pages 381-389, August.
    4. Yang, Ming-Hsien & Chen, Wen-Cher, 1999. "A study on shelf space allocation and management," International Journal of Production Economics, Elsevier, vol. 60(1), pages 309-317, April.
    5. Andrew Lim & Brian Rodrigues & Xingwen Zhang, 2004. "Metaheuristics with Local Search Techniques for Retail Shelf-Space Optimization," Management Science, INFORMS, vol. 50(1), pages 117-131, January.
    6. Manzur, Enrique & Olavarrieta, Sergio & Hidalgo, Pedro & Farías, Pablo & Uribe, Rodrigo, 2011. "Store brand and national brand promotion attitudes antecedents," Journal of Business Research, Elsevier, vol. 64(3), pages 286-291, March.
    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. Md. FarhanFaruqui & Fabliha Tasnim Hride, 2019. "Influence of Shelf Space Arrangement on Buying Behavior," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 9(3), pages 52-60, March.
    2. Calvo Porral, Cristina & Martínez Fernández, Valentín Alejandro & Juanatey Boga, Oscar, 2016. "Influência da assinatura do fabricante na lealdade e intenção de compra de marcas próprias de varejista," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 56(1), January.
    3. Bianchi-Aguiar, Teresa & Hübner, Alexander & Carravilla, Maria Antónia & Oliveira, José Fernando, 2021. "Retail shelf space planning problems: A comprehensive review and classification framework," European Journal of Operational Research, Elsevier, vol. 289(1), pages 1-16.
    4. S Raut & S Swami & M P Moholkar, 2009. "Heuristic and meta-heuristic approaches for multi-period shelf-space optimization: the case of motion picture retailing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(10), pages 1335-1348, October.
    5. Murray, Chase C. & Talukdar, Debabrata & Gosavi, Abhijit, 2010. "Joint Optimization of Product Price, Display Orientation and Shelf-Space Allocation in Retail Category Management," Journal of Retailing, Elsevier, vol. 86(2), pages 125-136.
    6. J Irion & J-C Lu & F A Al-Khayyal & Y-C Tsao, 2011. "A hierarchical decomposition approach to retail shelf space management and assortment decisions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(10), pages 1861-1870, October.
    7. Irion, Jens & Lu, Jye-Chyi & Al-Khayyal, Faiz & Tsao, Yu-Chung, 2012. "A piecewise linearization framework for retail shelf space management models," European Journal of Operational Research, Elsevier, vol. 222(1), pages 122-136.
    8. Alexander Hübner & Kai Schaal, 2017. "Effect of replenishment and backroom on retail shelf-space planning," Business Research, Springer;German Academic Association for Business Research, vol. 10(1), pages 123-156, June.
    9. Erjen van Nierop & Dennis Fok & Philip Hans Franses, 2008. "Interaction Between Shelf Layout and Marketing Effectiveness and Its Impact on Optimizing Shelf Arrangements," Marketing Science, INFORMS, vol. 27(6), pages 1065-1082, 11-12.
    10. Diallo, Mbaye Fall & Seck, Anne Marianne, 2018. "How store service quality affects attitude toward store brands in emerging countries: Effects of brand cues and the cultural context," Journal of Business Research, Elsevier, vol. 86(C), pages 311-320.
    11. Bianchi-Aguiar, Teresa & Silva, Elsa & Guimarães, Luis & Carravilla, Maria Antónia & Oliveira, José F., 2018. "Allocating products on shelves under merchandising rules: Multi-level product families with display directions," Omega, Elsevier, vol. 76(C), pages 47-62.
    12. Hübner, Alexander & Schaal, Kai, 2017. "A shelf-space optimization model when demand is stochastic and space-elastic," Omega, Elsevier, vol. 68(C), pages 139-154.
    13. Hasmukh Gajjar & Gajendra Adil, 2010. "A piecewise linearization for retail shelf space allocation problem and a local search heuristic," Annals of Operations Research, Springer, vol. 179(1), pages 149-167, September.
    14. Hansen, Jared M. & Raut, Sumit & Swami, Sanjeev, 2010. "Retail Shelf Allocation: A Comparative Analysis of Heuristic and Meta-Heuristic Approaches," Journal of Retailing, Elsevier, vol. 86(1), pages 94-105.
    15. Bentley, R. Alexander & Madsen, Mark E. & Ormerod, Paul, 2009. "Physical space and long-tail markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(5), pages 691-696.
    16. Robert Russell & Timothy Urban, 2010. "The location and allocation of products and product families on retail shelves," Annals of Operations Research, Springer, vol. 179(1), pages 131-147, September.
    17. Kateryna Czerniachowska, 2022. "A genetic algorithm for the retail shelf space allocation problem with virtual segments," OPSEARCH, Springer;Operational Research Society of India, vol. 59(1), pages 364-412, March.
    18. Bockholdt, Katrin & Kemper, Jan & Brettel, Malte, 2020. "Private label shoppers between fast fashion trends and status symbolism – A customer characteristics investigation," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    19. Fuduric, Morana & Varga, Akos & Horvat, Sandra & Skare, Vatroslav, 2022. "The ways we perceive: A comparative analysis of manufacturer brands and private labels using implicit and explicit measures," Journal of Business Research, Elsevier, vol. 142(C), pages 221-241.
    20. Gecili, Hakan & Parikh, Pratik J., 2022. "Joint shelf design and shelf space allocation problem for retailers," Omega, Elsevier, vol. 111(C).

    More about this item

    Keywords

    Shelf space; retail store; shelf display; shelf position and product assortment; buying behavior.;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

    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:lrc:larijb:v:9:y:2019:i:3:p:52-60. 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: Al Hossain (email available below). General contact details of provider: http://www.thejournalofbusiness.org .

    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.