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Service quality dimensions as predictors of customer loyalty in mobile payment services: moderating effect of gender

Author

Listed:
  • Pamela Liana

    (Moshi Co-Operative University (MoCU))

  • Jan-Erik Jaensson

    (The Open University of Tanzania)

  • Goodluck Mmari

    (The Open University of Tanzania)

Abstract

The changes in market dynamics, customer-to-customer interactions, and the use of artificial intelligence have created a great concern among marketers in understanding customer behaviours such as customer loyalty. Policymakers account for the provision of quality service in terms of subscription numbers. However, little explains the impacts of these dynamics. Drawing up the service quality model, theory of planned behaviour (TPB) and customer loyalty model, the study examined the influence of service quality, technical quality (TQ), functional quality (FQ), and reputational quality (RQ) on customer loyalty (CL). Specifically, the study focuses on moderating gender differences to enhance robustness. Data were collected from 379 respondents and analysed using structural equation modelling (SEM) with smart PLS (partial least square). The results suggested that customer assessment of reputational quality was vital in m-payment services for both males and females. Female customers depicted a more significant positive relationship than male customers, meaning the former are more loyal than the latter. Technical quality negatively influences attitudinal customer loyalty, while functional quality affects behavioural loyalty. The study contributes towards understanding the role of the dimensions of service quality (dSQ), customer loyalty and gender differences. Theoretically, the foundation of this research adds up to the consideration of the moderation effect of gender and their differential assessment of technical and functional quality as predictors of customer loyalty. Implication to managers is improving marketing strategies, and policymakers provide a more enabling environment for m-payment service.

Suggested Citation

  • Pamela Liana & Jan-Erik Jaensson & Goodluck Mmari, 2023. "Service quality dimensions as predictors of customer loyalty in mobile payment services: moderating effect of gender," Future Business Journal, Springer, vol. 9(1), pages 1-15, December.
    • Handle: RePEc:spr:futbus:v:9:y:2023:i:1:d:10.1186_s43093-023-00277-2
    DOI: 10.1186/s43093-023-00277-2
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    References listed on IDEAS

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    1. Sunday Adewale Olaleye & Ismaila Temitayo Sanusi & Jari Salo, 2020. "Mobile customers' experience and loyalty: a study of tablet gender divergence in Finland," International Journal of Internet Marketing and Advertising, Inderscience Enterprises Ltd, vol. 14(3), pages 275-298.
    2. Pekovic, Sanja & Rolland, Sylvie, 2020. "Recipes for achieving customer loyalty: A qualitative comparative analysis of the dimensions of customer experience," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    3. Herhausen, Dennis & Kleinlercher, Kristina & Verhoef, Peter C. & Emrich, Oliver & Rudolph, Thomas, 2019. "Loyalty Formation for Different Customer Journey Segments," Journal of Retailing, Elsevier, vol. 95(3), pages 9-29.
    4. Fahad Najeeb Khan & Muhammad Usman Arshad & Muhammad Munir, 2023. "Impact of e-service quality on e-loyalty of online banking customers in Pakistan during the Covid-19 pandemic: mediating role of e-satisfaction," Future Business Journal, Springer, vol. 9(1), pages 1-12, December.
    5. Birch-Jensen, Andrea & Gremyr, Ida & Halldórsson, Árni, 2020. "Digitally connected services: Improvements through customer-initiated feedback," European Management Journal, Elsevier, vol. 38(5), pages 814-825.
    6. Siliang Tong & Xueming Luo & Bo Xu, 2020. "Personalized mobile marketing strategies," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 64-78, January.
    7. Tat-Huei Cham & Jun-Hwa Cheah & Mumtaz Ali Memon & Kim-Shyan Fam & Józsa László, 2022. "Digitalization and its impact on contemporary marketing strategies and practices," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(2), pages 103-105, June.
    8. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    9. Neema Mori & Rosallia Mlambiti, 2020. "Determinants of customers’ adoption of mobile banking in Tanzania: Further evidence from a diffusion of innovation theory," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 16(2), pages 203-230.
    10. Joseph Mbawuni & Simon Gyasi Nimako, 2016. "Why Dissatisfied Mobile Subscribers Stay: Role of Service Use Experience, Commitment and Corporate Reputation," International Business Research, Canadian Center of Science and Education, vol. 9(6), pages 112-119, June.
    11. Paul Valentin Ngobo, 2017. "The trajectory of customer loyalty: an empirical test of Dick and Basu’s loyalty framework," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 229-250, March.
    12. Jisu J. Kim & Lena Steinhoff & Robert W. Palmatier, 2021. "An emerging theory of loyalty program dynamics," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 71-95, January.
    13. Sudhir Rana, 2021. "Digitalization as a Vehicle to Balance New vs Old Practices of Consumers and Organizations," FIIB Business Review, , vol. 10(3), pages 193-195, September.
    14. Muddassar Sarfraz & Kausar Fiaz Khawaja & Heesup Han & Antonio Ariza-Montes & Juan Manuel Arjona-Fuentes, 2023. "Sustainable supply chain, digital transformation, and blockchain technology adoption in the tourism sector," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    15. Genna Robb & Anthea Paelo, 2020. "Competitive dynamics of telecommunications markets in South Africa, Tanzania, Zambia, and Zimbabwe," WIDER Working Paper Series wp-2020-83, World Institute for Development Economic Research (UNU-WIDER).
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    More about this item

    Keywords

    Technical quality; Functional quality; Reputational quality; Customer loyalty; m-payment;
    All these keywords.

    JEL classification:

    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M39 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Other

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