IDEAS home Printed from https://ideas.repec.org/a/prg/jnlcbr/v2020y2020i1id228p43-55.html
   My bibliography  Save this article

Customer Loyalty-Related Marketing Measures in Fashion Markets

Author

Listed:
  • Bodo Möslein-Tröppner
  • Michael Stros
  • David Říha

Abstract

The textile industry has been massively affected by structural changes in recent years. The fashion market is currently in a phase of stagnation. This means that market saturation has been reached, competition between companies and retailers has increased, and predatory competition has set in. Gains in market share are mainly achieved through an aggressive pricing policy, for example, through earlier price reductions. Nonetheless, there are still uncertainties regarding specific product mix-related marketing measures in fashion markets. There is a lack of scientific evidence about the exact proportion of product mix-related marketing measures used.As an aim, this study focuses on the effects of various influencing factors on consumer loyalty. Factors examined include product quality, product selection, service quality and price-to-performance ratio. To investigate the proportion of the chosen marketing measures, a conceptual model was proposed, four hypotheses were derived.In order to shed more light on fashion markets related marketing measures, the research methodology of cross-sectional face-to-face survey research was applied. For this purpose, randomly sampled fashion shoppers were asked to answer a questionnaire, using tablets. The collected data were then analysed using multiple regression and evaluated. Implications for Central European audience: The study has derived some remarkable key findings that contrast with other non-fashion markets. First of all, service quality is not the most important factor, whereas product quality is an important criterion for the price-to-product ratio and consequently, for customer loyalty. Finally, practical guidelines are provided, limitations discussed and suggestions for future research provided.

Suggested Citation

  • Bodo Möslein-Tröppner & Michael Stros & David Říha, 2020. "Customer Loyalty-Related Marketing Measures in Fashion Markets," Central European Business Review, Prague University of Economics and Business, vol. 2020(1), pages 43-55.
    • Handle: RePEc:prg:jnlcbr:v:2020:y:2020:i:1:id:228:p:43-55
    DOI: 10.18267/j.cebr.228
    as

    Download full text from publisher

    File URL: http://cebr.vse.cz/doi/10.18267/j.cebr.228.html
    Download Restriction: free of charge
    File URL: http://cebr.vse.cz/doi/10.18267/j.cebr.228.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.18267/j.cebr.228?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Miller, K.W. & Wilder, L.B. & Stillman, F.A. & Becker, D.M., 1997. "The feasibility of a street-intercept survey method in an African- American community," American Journal of Public Health, American Public Health Association, vol. 87(4), pages 655-658.
    2. V. Balachandran & Dennis H. Gensch, 1974. "Solving the "Marketing Mix" Problem using Geometric Programming," Management Science, INFORMS, vol. 21(2), pages 160-171, October.
    3. Bolton, Ruth N & Drew, James H, 1991. "A Multistage Model of Customers' Assessments of Service Quality and Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 375-384, March.
    4. Johnson, Michael D. & Fornell, Claes, 1991. "A framework for comparing customer satisfaction across individuals and product categories," Journal of Economic Psychology, Elsevier, vol. 12(2), pages 267-286, June.
    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. Nourhan Ah. Saad & Sara Elgazzar & Sonja Mlaker Kac, 2022. "Investigating the Impact of Resilience, Responsiveness, and Quality on Customer Loyalty of MSMEs: Empirical Evidence," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    2. Tantri Yanuar Rahmat Syah & Patrick Christian Alimwidodo & Lovinda Lianti & Holila Hatta, 2022. "Perceived Price as Antecedent of Satisfaction and Loyalty: Learn from Fast Food Multinational Restaurants in Indonesia," Central European Business Review, Prague University of Economics and Business, vol. 2022(4), pages 63-84.

    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. Ajimon George & Jobin Sahadevan, 2019. "A Conceptual Framework of Antecedents of Service Loyalty in Health Care: Patients’ Perspective," IIM Kozhikode Society & Management Review, , vol. 8(1), pages 50-59, January.
    2. Tournois, Laurent, 2015. "Does the value manufacturers (brands) create translate into enhanced reputation? A multi-sector examination of the value–satisfaction–loyalty–reputation chain," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 83-96.
    3. Adeel Mehmood & Muhammad Yousaf Zain Ul Abedin, 2017. "Does Knowledge Management Influence the Customer's Satisfaction and Intention to Quit? Mediating Role of Customer Relationship Management," Post-Print hal-01599100, HAL.
    4. Jae-Bin Cha & Mi-Na Jo, 2019. "The Effect of the Corporate Social Responsibility of Franchise Coffee Shops on Corporate Image and Behavioral Intention," Sustainability, MDPI, vol. 11(23), pages 1-16, December.
    5. Hartmann, Patrick & Apaolaza Ibanez, Vanessa, 2007. "Managing customer loyalty in liberalized residential energy markets: The impact of energy branding," Energy Policy, Elsevier, vol. 35(4), pages 2661-2672, April.
    6. Yonggui Wang & Hing-Po Lo & Yongheng Yang, 2004. "An Integrated Framework for Service Quality, Customer Value, Satisfaction: Evidence from China's Telecommunication Industry," Information Systems Frontiers, Springer, vol. 6(4), pages 325-340, December.
    7. Severin Oesterle & Arne Buchwald & Nils Urbach, 2022. "Investigating the co-creation of IT consulting service value: empirical findings of a matched pair analysis," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 571-597, June.
    8. Brady, Michael K. & Robertson, Christopher J. & Cronin, J. Joseph, 2001. "Managing behavioral intentions in diverse cultural environments: an investigation of service quality, service value, and satisfaction for American and Ecuadorian fast-food customers," Journal of International Management, Elsevier, vol. 7(2), pages 129-149.
    9. Tae-Seung Park & Jun-Su Kim & Jiyoun Kim, 2021. "The Impact of Perceived Hapkido Service Quality on Exercise Continuation and Recommendation Intentions, with a Focus on Korean Middle and High School Students," Sustainability, MDPI, vol. 13(6), pages 1-10, March.
    10. Sang-June Park & Youjae Yi, 2016. "Performance-only measures vs. performance-expectation measures of service quality," The Service Industries Journal, Taylor & Francis Journals, vol. 36(15-16), pages 741-756, December.
    11. Moslehpour, Massoud & Lin, Yi Hsin & Nguyen, Thi Le Huyen, 2017. "Top purchase intention priorities of Vietnamese LCC passengers: Expectations and satisfaction," MPRA Paper 81635, University Library of Munich, Germany.
    12. Scott E. Sampson, 2008. "OR PRACTICE---Optimization of Vacation Timeshare Scheduling," Operations Research, INFORMS, vol. 56(5), pages 1079-1088, October.
    13. Yürük, Pınar & Akyol, Ayşe & Şimşek, Gülhayat Gölbaşı, 2017. "Analyzing the effects of social impacts of events on satisfaction and loyalty," Tourism Management, Elsevier, vol. 60(C), pages 367-378.
    14. Mujahid Mohiuddin Babu & Panuel Rozario Prince, 2011. "Factors Influencing the Overall Customer Satisfaction of the Wireless Internet Service Users: An Empirical Study in Bangladesh," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 2(6), pages 14-24, September.
    15. Lo, Ada & Qu, Hailin, 2015. "A theoretical model of the impact of a bundle of determinants on tourists’ visiting and shopping intentions: A case of mainland Chinese tourists," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 231-243.
    16. Anita Ciunova-Shuleska & Nikolina Palamidovska & Marija Grishin, 2013. "An empirical assessment of service quality in the context of travel agencies in the Republic of Macedonia," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 25(1), pages 21-36.
    17. William Jen & Kai-Chieh Hu, 2003. "Application of perceived value model to identify factors affecting passengers' repurchase intentions on city bus: A case of the Taipei metropolitan area," Transportation, Springer, vol. 30(3), pages 307-327, August.
    18. Stefan Meinzer & Johann Prenninger & Patrick Vesel & Johannes Kornhuber & Judith Volmer & Joachim Hornegger & Björn M. Eskofier, 2016. "Translating satisfaction determination from health care to the automotive industry," Service Business, Springer;Pan-Pacific Business Association, vol. 10(4), pages 651-685, December.
    19. Ryang Suk Lee & Sheng Yen Lee, 2023. "Analysis of Relationship between Service Quality of Food and Beverage and Customer Behaviors for Sustainable Golf Course Management," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    20. M. Billur Akdeniz & Roger J. Calantone, 2017. "A longitudinal examination of the impact of quality perception gap on brand performance in the US Automotive Industry," Marketing Letters, Springer, vol. 28(1), pages 43-57, March.

    More about this item

    Keywords

    fashion market; customer loyalty; product mix; marketing;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    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:prg:jnlcbr:v:2020:y:2020:i:1:id:228:p:43-55. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.