IDEAS home Printed from https://ideas.repec.org/a/vrs/ecothe/v55y2017i4p501-519n4.html
   My bibliography  Save this article

Analysis of Distribution Channels’ Successfulness –The Case of the Retail Chains in the Republic of Serbia

Author

Listed:
  • Anđelković Aleksandra

    (University of Nis, Faculty of Economics, Republic of Serbia)

  • Barac Nada

    (University of Nis, Faculty of Economics, Republic of Serbia)

  • Radosavljević Marija

    (University of Nis, Faculty of Economics, Republic of Serbia)

Abstract

The importance of distribution channels comes from the increasingly sophisticated consumer demands, producer’s focus on core competences, and the contribution of the distribution channels to achievement of goals at the national economy level. Due to the fact that intermediaries of distribution channel have the role to link producer and consumers, the results of their functioning have a direct impact on the mentioned partners in the channel. Therefore, the efficiency of the intermediaries directly affects the performance of related partners, producers and consumers. Retailers, as intermediaries in the channel, attracted great attention due to their leadership position and power, which proceed from direct communication with consumers. In this regard, the objective of the research presented in this paper is the analysis of the importance of distribution channels, from partners’ point of view, as well as from macro aspect, with special reference to the retailers, as the primary participants in the distribution channel, in the Republic of Serbia. As indicators of performance, authors use Return of Sale (ROS) and Return of Equity (ROE). By applying the regression analysis, the authors examine whether the performance and role of retail chain leaders in distribution channels depends on the size of the sales network, or the number of sales facilities. The survey shows that the largest retail chains in the Republic of Serbia are performing below the average for the retail sector, and that the size of their retail network has a significant impact on the achieved results.

Suggested Citation

  • Anđelković Aleksandra & Barac Nada & Radosavljević Marija, 2017. "Analysis of Distribution Channels’ Successfulness –The Case of the Retail Chains in the Republic of Serbia," Economic Themes, Sciendo, vol. 55(4), pages 501-519, December.
  • Handle: RePEc:vrs:ecothe:v:55:y:2017:i:4:p:501-519:n:4
    DOI: 10.1515/ethemes-2017-0028
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/ethemes-2017-0028
    Download Restriction: no

    File URL: https://libkey.io/10.1515/ethemes-2017-0028?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. Rosenberg, Larry J., 1974. "A new approach to distribution conflict management," Business Horizons, Elsevier, vol. 17(5), pages 67-74, October.
    2. David J. Reibstein & Paul W. Farris, 1995. "Market Share and Distribution: A Generalization, a Speculation, and Some Implications," Marketing Science, INFORMS, vol. 14(3_supplem), pages 190-202.
    3. Patrick D'Arcy & David Norman & Shalini Shan, 2012. "Costs and Margins in the Retail Supply Chain," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 13-22, June.
    4. M. Sreenivas & T. Srinivas, 2008. "Effectiveness of Distribution Network," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 1(1), pages 80-86, 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. Kumar, V. & Sunder, Sarang & Sharma, Amalesh, 2015. "Leveraging Distribution to Maximize Firm Performance in Emerging Markets," Journal of Retailing, Elsevier, vol. 91(4), pages 627-643.
    2. Nohe, Max, 2024. "Retail disruptions and their impact on suppliers in the grocery sector," Other publications TiSEM 2216cd14-a5de-4a9d-bd0d-5, Tilburg University, School of Economics and Management.
    3. Marusia Ivanova, 2007. "Genesis and Evolution of Market Share Predictive Models," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 117-148.
    4. Richard Friberg & Mark Sanctuary, 2017. "The Effect of Retail Distribution on Sales of Alcoholic Beverages," Marketing Science, INFORMS, vol. 36(4), pages 626-641, July.
    5. V. Kumar & Jia Fan & Rohit Gulati & P. Venkat, 2009. "—Marketing-Mix Recommendations to Manage Value Growth at P&G Asia-Pacific," Marketing Science, INFORMS, vol. 28(4), pages 645-655, 07-08.
    6. Shun-Chuan Chang & Ying-Chan Tang, 2015. "Exploring heterogeneity of distribution intensity: Evidence from emerging market entry experience with benchmark brands in China," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 5(1), pages 1-15, January.
    7. Vince Barabba & Chet Huber & Fred Cooke & Nick Pudar & Jim Smith & Mark Paich, 2002. "A Multimethod Approach for Creating New Business Models: The General Motors OnStar Project," Interfaces, INFORMS, vol. 32(1), pages 20-34, February.
    8. Marco Caliendo & Michel Clement & Edlira Shehu, 2015. "The effect of individual professional critics on books’ sales: capturing selection biases from observable and unobservable factors," Marketing Letters, Springer, vol. 26(4), pages 423-436, December.
    9. Musso, Fabio, 1999. "Relazioni di canale e strategie di acquisto delle imprese commerciali. Potere e stabilità nella grande distribuzione britannica [Channel Relationships and Buying Strategies of British Large Retaile," MPRA Paper 58508, University Library of Munich, Germany, revised 1999.
    10. Santiago Gallino & Antonio Moreno & Ioannis Stamatopoulos, 2017. "Channel Integration, Sales Dispersion, and Inventory Management," Management Science, INFORMS, vol. 63(9), pages 2813-2831, September.
    11. David Jacobs & Thomas Williams, 2014. "The Determinants of Non-tradables Inflation," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 27-38, September.
    12. Yenipazarli, Arda, 2024. "Strategic incentives for comparative advertising investments in non-zero-sum competition and economic consequences," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1059-1073.
    13. Csilla Horváth & Dennis Fok, 2013. "Moderating Factors of Immediate, Gross, and Net Cross-Brand Effects of Price Promotions," Marketing Science, INFORMS, vol. 32(1), pages 127-152, July.
    14. Srinivasan, Raji & Sridhar, Shrihari & Narayanan, Sriram & Sihi, Debika, 2013. "Effects of opening and closing stores on chain retailer performance," Journal of Retailing, Elsevier, vol. 89(2), pages 126-139.
    15. Jan-Benedict E. M. Steenkamp & Inge Geyskens, 2014. "Manufacturer and Retailer Strategies to Impact Store Brand Share: Global Integration, Local Adaptation, and Worldwide Learning," Marketing Science, INFORMS, vol. 33(1), pages 6-26, January.
    16. Ngobo, Paul Valentin, 2011. "What Drives Household Choice of Organic Products in Grocery Stores?," Journal of Retailing, Elsevier, vol. 87(1), pages 90-100.
    17. Antonis A. Michis, 2023. "Retail distribution evaluation in brand-level sales response models," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 366-378, September.
    18. Sharp, Byron & Dawes, John & Victory, Kirsten, 2024. "The market-based assets theory of brand competition," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    19. Andrea Schöndeling & Alexa B. Burmester & Alexander Edeling & André Marchand & Michel Clement, 2023. "Marvelous advertising returns? A meta-analysis of advertising elasticities in the entertainment industry," Journal of the Academy of Marketing Science, Springer, vol. 51(5), pages 1019-1045, September.
    20. Tanyeri Uslu & Merve Yanar Gürce, 2018. "Comparing the Effective Factors of Traditional Archers’ Bow Brand Preferences," Marketing and Branding Research, EUROKD, vol. 5(4), pages 244-250.

    More about this item

    Keywords

    distribution channels; retail chains; LPI; ROS; ROE;
    All these keywords.

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

    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:vrs:ecothe:v:55:y:2017:i:4:p:501-519:n:4. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.