Frequency of use in Individual transport service by apps: effects on online loyalty antecedent variables
DOI:
https://doi.org/10.5007/2175-8077.2022.e67976Keywords:
Startups, Mobile transportation app, Online loyalty, Frequency of useAbstract
The high number of new startups operating in the market has intensified competition and increased the dispute to conquer and maintain users. To be successful, it is crucial to better understand how antecedent variables interact with consumer loyalty. This article tests the effect of frequency of use on the relationship between online loyalty and its antecedents (satisfaction, trust, perceived value and convenience) in the domain of startups that provide transport services by apps. Structural equation modeling (PLS-SEM) and multigroup analysis were used to test the study’s hypotheses. Results indicate that frequency of use affects differently the relationship between online loyalty and its antecedents, especially concerning trust and satisfaction, for groups of customers with high versus low frequency of use. This discovery contributes to a better understanding of online loyalty, especially in the service sector, and provides managerial directions for companies to attract and maintain clients.
References
AJZEN, I. Personality and Social Psychology Review. Personality and Social Psychology Review, v. 6, n. 2, p. 107–122, 2002.
ALBA, J. W.; HUTCHINSON, J. W. Dimensions of Consumer Expertise. Journal of Consumer Research, v. 13, n. 4, p. 411, 1987.
ANDERSON, R. E.; SRINIVASAN, S. S. E-Satisfaction and E-Loyalty: A Contingency Framework. Psychology and Marketing, v. 20, n. 2, p. 123–138, 2003.
ARYA, S.; SRIVASTAVA, S. Effects of user’s primary need on relationship between e-loyalty and its antecedents. Decision, v. 42, n. 4, p. 419–449, 2015.
BLANK, S.; DORF, B. The Startup Owner’s Manual: the step-by-step guide for building a great company. 1a. Edição ed. California: K & S Ranch Press Inc., 2012.
BLOCKER, C. P. The dynamics of satisfaction and loyalty after relational transgressions. Journal of Services Marketing, v. 26, n. 2, p. 94–101, 2012.
BONSÓN PONTE, E.; CARVAJAL-TRUJILLO, E.; ESCOBAR-RODRÍGUEZ, T. Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents. Tourism Management, v. 47, p. 286–302, 2015.
BREI, V. A.; ROSSI, C. A. V. Confiança, valor percebido e lealdade em trocas relacionais de serviço: um estudo com usuários de Internet Banking no Brasil. Revista de Administração Contemporânea, v. 9, n. 2, p. 145–168, 2005.
BROWNE, K. Snowball sampling: using social networks to research non‐heterosexual women. International Journal of Social Research Methodology, v. 8, n. 1, p. 47–60, 2005.
BRUSCH, I.; SCHWARZ, B.; SCHMITT, R. David versus Goliath - Service quality factors for niche providers in online retailing. Journal of Retailing and Consumer Services, 2019.
CAPELAS, B.; TOZETTO, C. Primeiro ‘unicórnio’ pode colocar Brasil no mapa global de startups. O Estado de São Paulo, p. 3–5, 2018.
CASALÓ, L. V.; FLAVIÁN, C.; GUINALÍU, M. The role of satisfaction and website usability in developing customer loyalty and positive word‐of‐mouth in the e‐banking services. International Journal of Bank Marketing, v. 26, n. 6, p. 399–417, 2008.
CHIN, W.; MARCOLIN, B.; NEWSTED, P. latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption. Information systems research, v. 14, n. 2, p. 189–217, jun. 2003.
CHIN, W. W.; HENSELER, J. Intermediate Moderation Analysis in PLS Path Models Moderation Approach. What is Moderation ? 2010.
CHIOU, J. S.; PAN, L. Y. Antecedents of Internet retailing loyalty: Differences between heavy versus light shoppers. Journal of Business and Psychology, v. 24, n. 3, p. 327–339, 2009.
CHOU, S.; CHEN, C.-W.; LIN, J.-Y. Female online shoppers - Examining the mediating roles of e-satisfaction and e-trust on e-loyalty development. Internet Research, v. 25, n. 4, p. 542–561, ago. 2015.
CHUNG, K.; SHIN, J. The antecedents and consequents of relationship quality in internet shopping. Asia Pacific Journal of Marketing and Logistics, v. 22, n. 4, p. 473–491, 2010.
FITZSIMMONS, J. A.; FITZSIMMONS, M. J. Administração de Serviços: Operações, estratégias e Tecnologia da Informação. 7a. Edição ed. Porto Alegre: [s.n.].
FORNELL, C.; LARCKER, D. F. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, v. 18, n. 1, p. 39, fev. 1981.
FORSYTHE, S. M.; SHI, B. Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, v. 56, n. 11, p. 867–875, nov. 2003.
FUENTES-BLASCO, M. et al. Measuring the antecedents of e-loyalty and the effect of switching costs on website. Service Industries Journal, v. 30, n. 11, p. 1837–1852, 2010.
GARBARINO, E.; JOHNSON, M. S. The Different Roles of Satisfaction, Trust, and Commitment in Customer Relationships. Journal of Marketing, v. 63, n. 2, p. 70, abr. 1999.
GELBRICH, K.; GÄTHKE, J.; HÜBNER, A. Rewarding customers who keep a product: How reinforcement affects customers’ product return decision in online retailing. Psychology and Marketing, v. 34, n. 9, p. 853–867, 2017.
HAIR, JR., J. F. et al. A Primer On Partial Least Squares Structural Equation Modeling (PLS-SEM). [s.l.] Thousand Oaks: SAGE Publications, Incorporated., 2014.
HAIR, J. F.; RINGLE, C. M.; SARSTEDT, M. PLS-SEM: Indeed a Silver Bullet. The Journal of Marketing Theory and Practice, v. 19, n. 2, p. 139–152, 2011.
HAIR JR., J. F. et al. Análise Multivariada de Dados. 6th. ed. Porto Alegre: [s.n.].
HANSEN, T. Consumer adoption of online grocery buying: a discriminant analysis Torben. International Journal of Retail & Distribution Management, v. 33, n. 2, p. 101–121, 2006.
HENNIG-THURAU, T.; GWINNER, K. P.; GREMLER, D. D. Understanding Relationship Marketing Outcomes: An Integration of Relational Benefits and Relationship Quality. Journal of Service Research, v. 4, n. 3, p. 230–247, 2002.
HOMBURG, C.; KOSCHATE, N.; HOYER, W. D. Do Satisfied Customers Really Pay More? A Study of the Relationship Between Customer Satisfaction and Willingness to Pay. Journal of Marketing, v. 69, n. 2, p. 84–96, 2005.
JIANG, L. (ALICE); YANG, Z.; JUN, M. Measuring consumer perceptions of online shopping convenience. Journal of Service Management, v. 24, n. 2, p. 191–214, 2013.
KIM, D. J.; FERRIN, D. L.; RAGHAV RAO, H. Trust and satisfaction, two stepping stones for successful e-commerce relationships: A longitudinal exploration. Information Systems Research, v. 20, n. 2, p. 237–257, 2009.
KUMAR, V.; DALLA, I.; GANESH, J. Revisiting the Satisfaction – Loyalty Relationship : Empirical Generalizations and Directions for Future Research ଝ. Journal of Retailing, v. 89, n. 3, p. 246–262, 2013.
LIN, H.; LUARN, P. a Customer Loyalty Model for E-Service Context. Journal of Electronic Commerce Research, v. 4, p. 156–167, 2003.
LÓPEZ-MIGUENS, M. J.; VÁZQUEZ, E. G. An integral model of e-loyalty from the consumer’s perspective. Computers in Human Behavior, v. 72, p. 397–411, 2017.
MARTIN, J.; MORTIMER, G.; ANDREWS, L. Re-examining online customer experience to include purchase frequency and perceived risk. Journal of Retailing and Consumer Services, v. 25, p. 81–95, 2015.
MCKNIGHT, D. H.; VIVEK CHOUDHURY; CHARLES KACMAR. Developing and Validating Trust Measures for e-Commerce: An Intergrative Typology. Information Systems Research, v. 13, n. 3, p. 334–359, 2002.
MORGAN, R. M.; HUNT, S. D. Theory of Relationship Marketing. Journal of Marketing, v. 58, n. 3, p. 20–38, 1994.
OLIVER. Whence Consumer Loyalty? The Journal of Marketing, v. 63, n. Journal Article, p. 33–44, 1999.
OZTURK, A. B. et al. What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience. International Journal of Information Management, v. 36, n. 6, p. 1350–1359, 2016.
RAI, A. K.; SRIVASTAV, M. Customer Loyalty in the Indian Aviation Industry: An Empirical Examination. Asia Pacific Journal of Marketing and Logistics, v. 5, n. 1, p. 44–59, 2014.
REICHHELD, F. F.; TEAL, T. The loyalty effect: The hidden force behind growth, profits, and lasting value. [s.l.] Harvard Business Press, 2001.
RINGLE, C. M.; SILVA, D. DA; BIDO, D. D. S. Structural Equation Modeling with the Smartpls. Revista Brasileira de Marketing, v. 13, n. 02, p. 56–73, maio 2014.
RINGLE, C. M.; WENDE, S.; BECKER, J.-M. Smart PLS 3 Boenningstedt: SmartPLS GmbH, 2015.
RODRIGUES, R. B.; OLIVEIRA, R. T. A. DE; SOUZA, R. R. DE. Startups Dirigidas à Inovação de Software : Da Universidade ao MercadoERIPE - III Escola Regional de Informática de Pernambuco. Anais...2013
ROHM, A. J.; SWAMINATHAN, V. A typology of online shoppers based on shopping motivations. Journal of Business Research, v. 57, n. 7, p. 748–757, jul. 2004.
ROSE, S. et al. Online Customer Experience in e-Retailing: An empirical model of Antecedents and Outcomes. Journal of Retailing, v. 88, n. 2, p. 308–322, 2012.
ROWLEY, J.; DAWES, J. Disloyalty : a closer look at non-loyals. Jornal of Consumer Marketing, v. 17, n. 6, p. 538–547, 2000.
SAN-MARTÍN, S.; CAMARERO, C. A Cross-National Study on Online Consumer Perceptions, Trust, and Loyalty. Journal of Organizational Computing and Electronic Commerce, v. 22, n. 1, p. 64–86, 2012.
SÁNCHEZ-FERNÁNDEZ, R.; INIESTA-BONILLO, M. Á. The concept of perceived value: A systematic review of the research. Marketing Theory, v. 7, n. 4, p. 427–451, 2007.
SANTOS, C. P. DOS; FERNANDES, D. V. DER H. Antecedents and consequences of consumer trust in the context of service recovery. Brazilian Administration Review, v. 5, n. 3, p. 225–244, 2008.
SCHWARTZ, D. T. Consuming Choices: Ethics in a Global Consumer Age. Lanhan: Rowman & Littlefield Ind., 2010.
SHANKAR, V.; SMITH, A. K.; RANGASWAMY, A. Customer satisfaction and loyalty in online and offline environments. International Journal of Research in Marketing, v. 20, n. 2, p. 153–175, 2003.
SILVA, C. G. et al. O Perfil dos Empreendedores nas Startups: Um Estudo de Caso na Incubadora de Santa Maria. 2o Fórum Internacional Ecoinovar Santa Maria/RS – 23 e 24 de Setembro de 2013 Eixo, p. 1–16, 2013.
SIMON, H.; LEKER, J. Using Startup Communication for Opportunity Recognition - an Approach To Identify Future Product Trends. International Journal of Innovation Management, v. 20, n. 8, p. 1, 2016.
SIRDESHMUKH, D.; SINGH, J.; SABOL, B. Consumer Trust, Value, and Loyalty in Relational Exchanges. Journal of Marketing, v. 66, n. 1, p. 15–37, 2002.
SRINIVASAN, S. S.; ANDERSON, R.; PONNAVOLU, K. Customer loyalty in e-commerce: An exploration of its antecedents and consequences. Journal of Retailing, v. 78, n. 1, p. 41–50, 2002.
SRIVASTAVA, M.; RAI, A. K. Mechanics of engendering customer loyalty: A conceptual framework. IIMB Management Review, 2018.
SULLIVAN, Y. W.; KIM, D. J. Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments. International Journal of Information Management, v. 39, n. December 2017, p. 199–219, 2018.
SUR, S. The Role of Online Trust and Satisfaction in Building Loyalty Towards Online Retailers: Differences Between Heavy and Light Shopper Groups. In: ZHANG, Z. et al. (Eds.). . LISS 2014 - Proceedings of 4th International Conference on Logistics, Informatics and Service Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. p. 1800.
TENG, H.-J.; NI, J.-J.; CHEN, H.-H. Relationship between e-servicescape and purchase intention among heavy and light internet users. Internet Research, v. 28, n. 2, p. 333–350, abr. 2018.
TIGRE, P. Gestão da Inovação A Economia da Tecnologia no Brasil Andrea Lago da Silva. [s.l.] Lelivros, 2006. v. 7a. Edição
TSIOTSOU, R. H. The social aspects of consumption as predictors of consumer loyalty: Online vs offline services. Journal of Service Management, 2016.
UMASHANKAR, N.; BHAGWAT, Y.; KUMAR, V. Do loyal customers really pay more for services? Journal of the Academy of Marketing Science, v. 45, n. 6, p. 807–826, 2017.
VALVI, A. C.; FRAGKOS, K. C. Critical review of the e-loyalty literature : a purchase- centred framework. Electronic Commerce Research, v. 12, p. 331–378, 2012.
VERMA, V.; SHARMA, D.; SHETH, J. Does relationship marketing matter in online retailing? A meta-analytic approach. Journal of the Academy of Marketing Science, v. 44, n. 2, p. 206–217, 2015.
VINHAS DA SILVA, R.; FARIDAH SYED ALWI, S. Online brand attributes and online corporate brand images. European Journal of Marketing, v. 42, n. 9/10, p. 1039–1058, 2008.
WANG, L.; SUN, S. An Empirical Research on the Relationship between Perceived Customer Value and E-loyaltyPaper presented at the IEEE International Conference on Industrial Engineering and Engineering Management. Anais...2009
YANG, Z.; PETERSON, R. T. Customer Perceived Value, Satisfaction, and Loyalty: The Role of Switching Costs. Psychology and Marketing, v. 21, n. 10, p. 799–822, 2004.
ZEITHAML, V. A. of Consumer Perceptions A Means-End Value : Quality , and Model Synthesis of Evidence. v. 52, n. 3, p. 2–22, 1988.
ZHAN, G.; ZHOU, Z. Mobile internet and consumer happiness: the role of risk. Internet Research, v. 28, n. 3, p. 785–803, 2018.
ZHANG, X.; PRYBUTOK, V. R. A Consumer Perspective of E-Service Quality. IEEE Transactions on Engineering Management, v. 52, n. 4, p. 461–477, 2005.
Downloads
Published
How to Cite
Issue
Section
License
The author must ensure:
- that there is complete consensus among all co-authors to approve the final version of the paper and its submission for publication.
- that their work is original, and if the work and/or words of others have been used, these have been duly acknowledged.
Plagiarism in all its forms constitutes unethical publishing behavior and is unacceptable. RCA reserves the right to use software or any other methods of plagiarism detection.
All submissions received for evaluation in the RCA journal are screened for plagiarism and self-plagiarism. Plagiarism identified in manuscripts during the evaluation process will result in the submission being archived. In the event of plagiarism being identified in a manuscript published in the journal, the Editor-in-Chief will conduct a preliminary investigation and, if necessary, retract it.
Authors grant RCA exclusive rights of first publication, with the work simultaneously licensed under the Creative Commons (CC BY) 4.0 International License.
Authors are authorized to enter into separate, additional contractual arrangements for the non-exclusive distribution of the version of the work published in this journal (e.g., publishing in an institutional repository, on a personal website, publishing a translation, or as a chapter in a book), with an acknowledgement of its authorship and initial publication in this journal.
This license grants any user the right to:
Share – copy, download, print, or redistribute the material in any medium or format.
Adapt – remix, transform, and build upon the material for any purpose, even commercially.
According to the following terms:
Attribution – You must give appropriate credit (cite and reference), provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions – You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.