IDEAS home Printed from https://ideas.repec.org/a/agr/journl/vxxiiy2015i4(605)p85-98.html
   My bibliography  Save this article

An Assessment of Customer Shared Value in the Restaurant Industry – a Survey from Sweden

Author

Listed:
  • Sebastian DROZDZ

    (Halmstad University, Halmstad, Sweden)

  • Marcus DUFWA

    (Halmstad University, Halmstad, Sweden)

  • Robiel MECONNEN

    (Halmstad University, Halmstad, Sweden)

  • Klaus SOLBERG SØILEN

    (Halmstad University, Halmstad, Sweden)

Abstract

The article tries to investigate to which extent the concept of Customer Shared Value (CSV) is relevant for a particular industry, the restaurant industry. We wanted to know if there is a correlation between social benefits and economic benefits for restaurants. We also wanted to know if restaurants already conduct their business according to the concept of Creating Shared Value, but maybe without reference to the concept as such. We found that restaurant companies in Sweden actually work to create economic benefits and social values. However we did not find that there was any clear pattern between economic value and social values. The companies with the highest total shared value are in fact the companies with the highest revenue, but there are also companies with lower revenue which have scored high in total shared value and vice versa. Most of the restaurants implicitly work with several factors of the concept such as having knowledge of the costs and causes of environmental impacts and the notion of how to treat employees fairly. The findings are valuable because they show to what extent CSV is a reality in the restaurant business today. This may have implications about how practitioner and scholars alike view the concept of CSV.

Suggested Citation

  • Sebastian DROZDZ & Marcus DUFWA & Robiel MECONNEN & Klaus SOLBERG SØILEN, 2015. "An Assessment of Customer Shared Value in the Restaurant Industry – a Survey from Sweden," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(605), W), pages 85-98, Winter.
  • Handle: RePEc:agr:journl:v:xxii:y:2015:i:4(605):p:85-98
    as

    Download full text from publisher

    File URL: http://store.ectap.ro/articole/1133.pdf
    Download Restriction: no

    File URL: http://www.ectap.ro/articol.php?id=1133&rid=121
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kim, Soo Y. & Upneja, Arun, 2014. "Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models," Economic Modelling, Elsevier, vol. 36(C), pages 354-362.
    2. Steven Berry & Joel Waldfogel, 2010. "Product Quality And Market Size," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 1-31, March.
    3. Clarissa Yeap, 2011. "Capacity use in multi-unit firms: evidence for efficiency gains or strategic competition in the US restaurant industry?," Applied Economics, Taylor & Francis Journals, vol. 43(22), pages 2953-2968.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Manuel Ángel Fernández-Gámez & A. Manuel Gutiérrez-Ruiz & Rafael Becerra-Vicario & Daniel Ruiz-Palomo, 2019. "The Effects of Creating Shared Value on the Hotel Performance," Sustainability, MDPI, vol. 11(6), pages 1-16, March.

    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. repec:agr:journl:v:4(605):y:2015:i:4(605):p:85-98 is not listed on IDEAS
    2. Kim, Donghyuk, 2023. "Market size, competition, and entrepreneurs’ location choices," Economics Letters, Elsevier, vol. 229(C).
    3. Rafael Becerra-Vicario & David Alaminos & Eva Aranda & Manuel A. Fernández-Gámez, 2020. "Deep Recurrent Convolutional Neural Network for Bankruptcy Prediction: A Case of the Restaurant Industry," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    4. A. Yeşim Orhun & Sriram Venkataraman & Pradeep K. Chintagunta, 2016. "Impact of Competition on Product Decisions: Movie Choices of Exhibitors," Marketing Science, INFORMS, vol. 35(1), pages 73-92, January.
    5. Shon M. Ferguson, 2015. "Endogenous Product Differentiation, Market Size and Prices," Review of International Economics, Wiley Blackwell, vol. 23(1), pages 45-61, February.
    6. Picard, Pierre M. & Okubo, Toshihiro, 2012. "Firms' locations under demand heterogeneity," Regional Science and Urban Economics, Elsevier, vol. 42(6), pages 961-974.
    7. Zhao, Shuping & Xu, Kai & Wang, Zhao & Liang, Changyong & Lu, Wenxing & Chen, Bo, 2022. "Financial distress prediction by combining sentiment tone features," Economic Modelling, Elsevier, vol. 106(C).
    8. Matthew Gentzkow & Jesse M. Shapiro & Michael Sinkinson, 2014. "Competition and Ideological Diversity: Historical Evidence from US Newspapers," American Economic Review, American Economic Association, vol. 104(10), pages 3073-3114, October.
    9. Sergey Kichko, 0. "Competition, land prices and city size," Journal of Economic Geography, Oxford University Press, vol. 20(6), pages 1313-1329.
    10. David Alaminos & Manuel Ángel Fernández, 2019. "Why do football clubs fail financially? A financial distress prediction model for European professional football industry," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-15, December.
    11. Alessandro Gavazza, 2011. "Demand spillovers and market outcomes in the mutual fund industry," RAND Journal of Economics, RAND Corporation, vol. 42(4), pages 776-804, December.
    12. Cagé, Julia, 2017. "Media Competition, Information Provision and Political Participation: Evidence from French Local Newspapers and Elections, 1944," CEPR Discussion Papers 12198, C.E.P.R. Discussion Papers.
    13. Julia Cagé, 2014. "Media Competition, Information Provision and Political Participation," SciencePo Working papers Main hal-03602440, HAL.
    14. Jin Kuang & Tse-Chen Chang & Chia-Wei Chu, 2022. "Research on Financial Early Warning Based on Combination Forecasting Model," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    15. Xavier Vives, 2008. "Innovation And Competitive Pressure," Journal of Industrial Economics, Wiley Blackwell, vol. 56(3), pages 419-469, December.
    16. Dieter Pennerstorfer & Nora Schindler & Christoph Weiss & Biliana Yontcheva, 2020. "Income Inequality and Product Variety: Empirical Evidence," Economics working papers 2020-17, Department of Economics, Johannes Kepler University Linz, Austria.
    17. Ming-Fu Hsu & Ying-Shao Hsin & Fu-Jiing Shiue, 2022. "Business analytics for corporate risk management and performance improvement," Annals of Operations Research, Springer, vol. 315(2), pages 629-669, August.
    18. Ngo Van Long & Zhuang Miao, 2020. "Multiple‐quality Cournot oligopoly and the role of market size," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(4), pages 932-952, October.
    19. Pierre‐Philippe Combes & Gilles Duranton & Laurent Gobillon & Diego Puga & Sébastien Roux, 2012. "The Productivity Advantages of Large Cities: Distinguishing Agglomeration From Firm Selection," Econometrica, Econometric Society, vol. 80(6), pages 2543-2594, November.
    20. repec:hal:spmain:info:hdl:2441/7jk88md0ar9hga662p2vjjq4kc is not listed on IDEAS
    21. Dominik Gutt & Philipp Herrmann & Mohammad S. Rahman, 2018. "Crowd-Driven Competitive Intelligence: Understanding the Relationship Between Local Market Competition and Online Rating Distributions," Working Papers Dissertations 41, Paderborn University, Faculty of Business Administration and Economics.
    22. Brekke, Kurt R. & Siciliani, Luigi & Straume, Odd Rune, 2010. "Price and quality in spatial competition," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 471-480, November.

    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:agr:journl:v:xxii:y:2015:i:4(605):p:85-98. 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: Marin Dinu (email available below). General contact details of provider: https://edirc.repec.org/data/agerrea.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.