The Influence of Perceived Risk and Benefit on the Intention to Adopt Online Insurance in Morocco
DOI:
https://doi.org/10.23882/emss25175Keywords:
Online Insurance, Online Purchase Intention, Perceived Benefit, Perceived Risk, MoroccoAbstract
Cet article examine les facteurs influençant l’adoption de l’assurance en ligne au Maroc, où cette pratique reste marginale malgré la récente mise en place d’une réglementation par l’Autorité de Contrôle des Assurances et de la Prévoyance Sociale (ACAPS). Alors que l’assurance en ligne se développe rapidement à l’échelle mondiale, les consommateurs marocains expriment des hésitations, principalement liées aux risques perçus, notamment la sécurité des transactions et la fiabilité de la plateforme. Pour explorer ces hésitations, l’étude adopte le Technology Acceptance Model (TAM) comme cadre théorique. Un modèle intégré a été proposé, combinant des facteurs positifs (bénéfices perçus) et des facteurs négatifs (risques perçus) pour prédire l’intention d’adoption. Les données ont été collectées auprès d’un échantillon de 202 répondants à l’aide d’un questionnaire en ligne. Les résultats révèlent que l’adoption de l’assurance en ligne est influencée positivement par l’attitude, le bénéfice perçu et l’utilité perçue. Cependant, le risque de performance, le risque financier et le risque de sécurité ont un impact négatif significatif sur cette intention d’adoption. En résumé, l’étude souligne que, pour encourager l’adoption de l’assurance en ligne au Maroc, les assureurs doivent développer des stratégies pour améliorer la sécurité des transactions, la transparence des services et le support client. Des recherches futures pourraient explorer davantage l’impact des différences culturelles sur les perceptions des consommateurs et valider ce modèle dans d’autres contextes.
References
Aldammagh, Z., Abdeljawad, R., & Obaid, T. (2021). Predicting Mobile Banking Adoption : An Integration of TAM and TPB with Trust and Perceived Risk. Financial Internet Quarterly, 17(3), 35‑46. https://doi.org/10.2478/fiqf-2021-0017
Al-Gasawneh, J. A., Al-Adama, A. M., Almestrihif, R., Nusairat, N. M., Anuar, M. M., & Aloqool, A. (2021). Mediator-Moderator, Innovation of Mobile CRM, E-Service Convenience, Online Perceived Behav-Ioral Control and Reuse Online Shopping Intention. International Journal of Data and Network Science, 5(4), 791‑802. https://doi.org/10.5267/j.ijdns.2021.7.001
Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice : A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411‑423. https://doi.org/doi.org/10.1037/0033-2909.103.3.411
Andrian, A., & Selamat, F. (2022). The Influence of Consumer’s Perceived Risk on Consumer’s Online Purchase Intention in Indonesia: 3rd Tarumanagara International Conference on the Applications of Social Sciences and Humanities (TICASH 2021), Jakarta, Indonesia. https://doi.org/10.2991/assehr.k.220404.105
Bagozzi, R. P., & Phillips, L. W. (1991). Assessing Construct Validity in Organizational Research. Administrative Science Quarterly, 36(3), 421‑458. https://doi.org/10.2307/2393203
Beltrán, L. L. S., Pinzón, O. J. R., & Berrio, S. P. R. (2022). Effects of Perceived Risk on Intention to Use Biometrics in Financial Products : Evidence from a Developing Country. International Journal of Business Information Systems, 39(2), 170‑192. https://doi.org/10.1504/IJBIS.2022.121432
Chang, Y.-C., Enkhjargal, U., Huang, C.-I., Wen-Ling, L., & Chi-Ming, H. (2020). Factors Affecting the Internet Banking Adoption. Jurnal Ekonomi Malaysia, 54(3), 117‑131. https://doi.org/10.17576/JEM-2020-5403-9
Cheng, T. C. E., Lam, D. Y. C., & Yeung, A. C. L. (2006). Adoption of internet banking : An empirical study in Hong Kong. Decision Support Systems, 42(3), 1558‑1572. https://doi.org/10.1016/j.dss.2006.01.002
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd Edition). Routledge. https://doi.org/10.4324/9780203771587
Cunningham, M. Scott. (1967). The Major Dimensions of Perceived Risk. Harvard University Press, In: Cox DF, editor. Risk taking and information handling in consumer behaviour.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319‑340. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology : A Comparison of Two Theoretical Models. Management Science, 35(8), 982‑1003. https://doi.org/10.1287/mnsc.35.8.982
Do, T. D., Mai, T. H., Trinh, V. G., & Le, H. T. (2023). Online Distribution Channel Development in Life Insurance : A Literature Review. International Journal of Advanced Multidisciplinary Research and Studies, 3(6), 704‑706.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting E-Services Adoption : A Perceived Risk Facets Perspective. International Journal of Human-Computer Studies, 59(4), 451‑474. https://doi.org/10.1016/S1071-5819(03)00111-3
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior : An Introduction to Theory and Research. Addison-Wesley, Reading, MA.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39‑50. https://doi.org/10.2307/3151312
Foroughi, B., Senali, M. G., Iranmanesh, M., Khanfar, A., Ghobakhloo, M., Annamalai, N., & Naghmeh-Abbaspour, B. (2024). Determinants of Intention to Use ChatGPT for Educational Purposes : Findings from PLS-SEM and fsQCA. International Journal of Human–Computer Interaction, 40(17), 4501‑4520. https://doi.org/10.1080/10447318.2023.2226495
Hair, J. F., Babin, B. J., & Krey, N. (2017). Covariance-Based Structural Equation Modeling in the Journal of Advertising : Review and Recommendations. Journal of Advertising, 46(1), 163‑177.
Hermawan, D. (2022). The effects of web quality, perceived benefits, security and data privacy on behavioral intention and e-WOM of online travel agencies. International Journal of Data and Network Science, 6(3), 1005‑1012. https://doi.org/10.5267/j.ijdns.2022.1.011
Hoffman, D. L., Novak, T. P., & Peralta, M. (1999). Building consumer trust online. Communications of the ACM, 42(4), 80‑85. https://doi.org/10.1145/299157.299175
Huifeng, P., & Ha, H.-Y. (2021). Temporal effects of online customer reviews on restaurant visit intention : The role of perceived risk. Journal of Hospitality Marketing & Management, 30(7), 825‑844. https://doi.org/10.1080/19368623.2021.1897053
Instruction Relative aux Dispositifs Électroniques de Vente en Ligne de Produits d’Assurance, Pub. L. No. P.IN 022022, ACAPS 12 (2022).
Jacoby, J., & Kaplan, L. B. (1972). The Components of Perceived Risk. In: Venkatesan M, Editor. Advances in Consumer Research, special volumes.
Jerene, W., & Sharma, D. (2020). The Adoption of Financial Technology in Ethiopia : A Study of Bank Customers Perspective. Journal of Banking and Financial Technology, 4(1), 53‑63. https://doi.org/10.1007/s42786-020-00015-0
Jiang, S., Liu, X., Liu, N., & Xiang, F. (2019). Online Life Insurance Purchasing Intention : Applying the Unified Theory of Acceptance and Use of Technology. Social Behavior and Personality: An International Journal, 47(7), 1‑13. https://doi.org/10.2224/sbp.8141
Joshi, R., Mishra, S., & Choudhary, V. (2024). Drivers of Behavioral Intentions to Use Telematics Insurance : A TAM-Based Integrative Approach. IUP Journal of Marketing Management, 23(2), 5‑32.
Kalakota, D. R., & Whinston, A. B. (1997). Electronic Commerce : A Manager’s Guide. Addison-Wesley Longman.
Kamalul Ariffin, S., Mohan, T., & Goh, Y.-N. (2018). Influence of Consumers’ Perceived Risk on Consumers’ Online Purchase Intention. Journal of Research in Interactive Marketing, 12(3), 309‑327. https://doi.org/10.1108/JRIM-11-2017-0100
Kaplan, L. B., Szybillo, G. J., & Jacoby, J. (1974). Components of Perceived Risk in Product Purchase : A Cross-Validation. Journal of Applied Psychology, 59(3), 287‑299.
Kaur, S., & Arora, S. (2023). Understanding Customers’ Usage Behavior Towards Online Banking Services : An Integrated Risk–Benefit Framework. Journal of Financial Services Marketing, 28(1), 74‑98. https://doi.org/10.1057/s41264-022-00140-5
Khare, A., & Singh, S. (2010). Antecedents to Indian Customers Attitude Towards Online Insurance Services. International Journal of Business Competition and Growth, 1(1), 19. https://doi.org/10.1504/IJBCG.2010.032826
Koksalmis, G. H., Arpacı, İ., & Koksalmis, E. (2022). Predicting the Intention to Use Bitcoin : An Extension of Technology Acceptance Model (tam) with Perceived Risk Theory. In M. Al-Emran & K. Shaalan (Éds.), Recent Innovations in Artificial Intelligence and Smart Applications (Vol. 1061, p. 105‑120). Springer International Publishing. https://doi.org/10.1007/978-3-031-14748-7_6
Lee, M.-C. (2008). Predicting Behavioral Intention to Use Online Banking. Proceedings of the 19th international conference on information management, Taiwan.
Lee, M.-C. (2009). Factors Influencing the Adoption of Internet Banking : An Integration of Tam and Tpb with Perceived Risk and Perceived Benefit. Electronic Commerce Research and Applications, 8(3), 130‑141. https://doi.org/10.1016/j.elerap.2008.11.006
Limam, A. (2025). Le Marché De L’assurance Au Maroc : Analyse Descriptive. RMd, Economics, Management & Social Sciences, 2(1), e202507. https://doi.org/10.23882/emss25121
Lin, W. (2008). Investigation on the Model of Consumers’ Perceived Risk—Integrated Viewpoint. Expert Systems with Applications, 34(2), 977‑988. https://doi.org/10.1016/j.eswa.2006.10.042
Littler, D., & Melanthiou, D. (2006). Consumer Perceptions of Risk and Uncertainty and the Implications for Behaviour Towards Innovative Retail Services : The Case of Internet Banking. Journal of Retailing and Consumer Services, 13(6), 431‑443. https://doi.org/10.1016/j.jretconser.2006.02.006
Maditinos, D., Chatzoudes, D., & Sarigiannidis, L. (2013). An examination of the critical factors affecting consumer acceptance of online banking : A focus on the dimensions of risk. Journal of Systems and Information Technology, 15(1), 97‑116. https://doi.org/10.1108/13287261311322602
Ögel, S., & Ögel, İ. Y. (2021). The Interaction Between Perceived Risk, Attitude, and Intention to Use : An Empirical Study on Bitcoin as a Crypto Currency. In E. Özen, S. Grima, & R. D. Gonzi (Éds.), New Challenges for Future Sustainability and Wellbeing (p. 211‑241). Emerald Publishing Limited. https://doi.org/10.1108/978-1-80043-968-920211012
Oh, N. Y., Parwada, J. T., & Walter, T. S. (2008). Investors’ Trading Behavior and Performance : Online Versus Non-Online Equity Trading in Korea. Pacific-Basin Finance Journal, 16(1‑2), 26‑43. https://doi.org/10.1016/j.pacfin.2007.04.009
Pavlou, P. (2001). Integrating Trust in Electronic Commerce with the Technology Acceptance Model : Model Development and Validation. AMCIS 2001, Proceedings 159, 816‑822.
Peter, J. P., & Ryan, M. J. (1976). An Investigation of Perceived Risk at the Brand Level. Journal of Marketing Research, 13(32), 184‑188.
PwC. (2017). Top Issues : An Annual Report (Vol. 9; p. 75). https://www.pwc.com/us/en/insurance/publications/assets/pwc-2017-insurance-topissues.pdf
Reavley, N. (2005). Securing Online Banking. Card Technology Today, 17(10), 12‑13. https://doi.org/10.1016/S0965-2590(05)70389-3
Roselius, T. (1971). Consumer Rankings of Risk Reduction Methods. Journal of Marketing, 35(1), 56‑61. https://doi.org/doi.org/10.1177/002224297103500110
Sathye, M. (1999). Adoption of Internet Banking by Australian Consumers : An Empirical Investigation. International Journal of bank marketing, 17(7), 324‑334.
Sharma, R., Singh, G., & Sharma, S. (2020). Modelling Internet Banking Adoption in Fiji : A Developing Country Perspective. International Journal of Information Management, 53, 102116. https://doi.org/10.1016/j.ijinfomgt.2020.102116
Simanjuntak, M., & Musyifah, I. (2016). Online Shopping Behavior on Generation Y in Indonesia. GLOBAL BUSINESS FINANCE REVIEW, 21(1), 33‑45. https://doi.org/10.17549/gbfr.2016.21.1.33
Singhal, H., & Kar, A. K. (2015). Information Security Concerns in Digital Services : Literature Review and a Multi-Stakeholder Approach. 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 901‑906. https://doi.org/10.1109/ICACCI.2015.7275725
Song, C., Wang, T., Lee, H., & Hu, M. Y. (2020). The Moderating Role of Perceived Social Risk in Bank Credit Card Referral Programs. International Journal of Bank Marketing, 38(7), 1601‑1616. https://doi.org/10.1108/IJBM-05-2020-0291
Talwar, M., Corazza, L., Bodhi, R., & Malibari, A. (2023). Why do consumers resist digital innovations? An innovation resistance theory perspective. International Journal of Emerging Markets. https://doi.org/10.1108/IJOEM-03-2022-0529
Taylor, S., & Todd, P. (1995). Assessing IT Usage : The Role of Prior Experience. MIS Quarterly, 19(4), 561. https://doi.org/10.2307/249633
Toukabri, M. T., & Ettis, S. A. (2021). The Acceptance and Behavior Towards E-Insurance. International Journal of E-Business Research, 17(2), 1‑16. https://doi.org/10.4018/IJEBR.2021040102
Tse, D. K., Lee, K., Vertinsky, I., & Wehrung, D. A. (1988). Does Culture Matter? A Cross-Cultural Study of Executives’ Choice, Decisiveness, and Risk Adjustment in International Marketing. Journal of Marketing, 52(4), 81‑95. https://doi.org/10.1177/002224298805200408
Van Der Heijden, H. (2003). Factors influencing the usage of websites : The case of a generic portal in The Netherlands. Information & Management, 40(6), 541‑549. https://doi.org/10.1016/S0378-7206(02)00079-4
Widyanto, H. A., Kusumawardani, K. A., & Yohanes, H. (2022). Safety First : Extending Utaut to Better Predict Mobile Payment Adoption by Incorporating Perceived Security, Perceived Risk and Trust. Journal of Science and Technology Policy Management, 13(4), 952‑973. https://doi.org/10.1108/JSTPM-03-2020-0058
Wu, J., & Dong, M. (2023). Research on Customer Satisfaction of Pharmaceutical E-Commerce Logistics Service Under Service Encounter Theory. Electronic Commerce Research and Applications, 58, 101246. https://doi.org/10.1016/j.elerap.2023.101246
Yousafzai, S., Pallister, J., & Foxall, G. (2009). Multi-Dimensional Role of Trust in Internet Banking Adoption. The Service Industries Journal, 29(5), 591‑605. https://doi.org/10.1080/02642060902719958
Zhang, W., Yang, X., Wang, Q., Zheng, C., & Sia, C. L. (2015). Investigation on the Factors Determining Consumers’ Use of Online Intermediated Shopping (OIS) : A Behavioral Intention Perspective. Journal of Organizational and End User Computing, 27(1), 77‑97. https://doi.org/10.4018/joeuc.2015010104
Ziky, M., Essardi, M. O., & Limam, A. (2023). Attitudes Et Perceptions Des Compagnies D’assurances Marocaines Vis-À-Vis De L’introduction De L’assurance Takaful Au Maroc. Alternatives Managériales Economiques, 5(3), 219‑235. https://doi.org/doi.org/10.48374/IMIST.PRSM/ame-v5i3.41918
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