Artikel

Examining the overarching factors of clients' loyalty based on the mobile insurance typology

Background: The mobile insurance industry plays a crucial role in the insurance ecosystem of developing countries, yet the overarching factors that impinge on and shape clients' behavioural intentions towards service providers have not been given the necessary attention they deserve.Objectives: This study explores the role of corporate identity, clients' satisfaction, Service Quality (SERQUAL) and institutional-based trust in shaping clients' loyalty (CL) towards mobile insurance (M-insurance) service providers.Method: Structural equation modelling (SEM) was used to analyse a total of 334 questionnaires obtained from clients of selected M-insurance service points in Accra, Ghana.Results: Our results indicate that SERQUAL, institutional-based trust, satisfaction and corporate identity, corroboratively, impact positively on CL within the M-insurance ecosystem, albeit in varied proportions. The results also demonstrate a high degree of causality among SERQUAL, institutional-based trust and corporate identity.Conclusion: SERQUAL has both direct and indirect significant positive relationships with CL. Thus, in order for M-insurance service providers to attract and retain clients, the former must pay a great deal of attention to SERQUAL owing to its striking halo effects.

Sprache
Englisch

Erschienen in
Journal: South African Journal of Business Management ; ISSN: 2078-5976 ; Volume: 50 ; Year: 2019 ; Issue: 1 ; Pages: 1-14 ; Cape Town: African Online Scientific Information Systems (AOSIS)

Klassifikation
Management

Ereignis
Geistige Schöpfung
(wer)
Ampaw, Enock M.
Chai, Junwu
Frempong, Joseph
Ereignis
Veröffentlichung
(wer)
African Online Scientific Information Systems (AOSIS)
(wo)
Cape Town
(wann)
2019

DOI
doi:10.4102/sajbm.v50i1.1418
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Ampaw, Enock M.
  • Chai, Junwu
  • Frempong, Joseph
  • African Online Scientific Information Systems (AOSIS)

Entstanden

  • 2019

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