| Reference: | Ali Raza, S., Ahmed, R., Ali, M., Asif Qureshi, M., & Ali Jinnah University, M. (2020). Influential factors of Islamic insurance adoption: An extension of theory of planned behavior. Journal of Islamic Marketing, 11(6), 1497–1515. https://doi.org/10.1108/JIMA-03-2019-0047
Antheunis, M. L., Valkenburg, P. M., & Peter, J. (2010). Getting acquainted through social network sites: Testing a model of online uncertainty reduction and social attraction. Computers in Human Behavior, 26(1), 100–109. https://doi.org/10.1016/j.chb.2009.07.005
Bandura, A. (1988). Organisational applications of social cognitive theory. Australian Journal of Management, 13(2), 275–302. https://doi.org/10.1177/031289628801300210
Bateman, H., Gerrans, P., Thorp, S., & Zeng, Y. (2023). Explaining consumers’ progress through life insurance decision states: The role of personal values and consumer characteristics. Journal of Consumer Affairs, 57(3), 1151–1182. https://doi.org/10.1111/joca.12524
Bhat, S. A., & Darzi, M. A. (2016). Customer relationship management. International Journal of Bank Marketing, 34(3), 388–410. https://doi.org/10.1108/IJBM-11-2014-0160
Buehler, P., & Maas, P. (2018). Consumer empowerment in insurance: Effects on performance risk perceptions in decision making. International Journal of Bank Marketing, 36(6), 1073–1097. https://doi.org/10.1108/IJBM-12-2016-0182
Byrne, D. (1961). Interpersonal attraction and attitude similarity. The Journal of Abnormal and Social Psychology, 62(3), 713–715. https://doi.org/10.1037/h0044721
Cao, S., Lyu, H., & Xu, X. (2020). InsurTech development: Evidence from Chinese media reports. Technological Forecasting and Social Change, 161, 120277. https://doi.org/10.1016/j.techfore.2020.120277
Case, A., & Paxson, C. (2005). Sex differences in morbidity and mortality. Demography, 42(2), 189–214.
Charness, G., Gneezy, U., & Kuhn, M. A. (2012). Experimental methods: Between-subject and within-subject design. Journal of Economic Behavior & Organization, 81(1), 1–8. https://doi.org/https://doi.org/10.1016/j.jebo.2011.08.009
Chow, W. S., & Chan, L. S. (2008). Social network, social trust and shared goals in organizational knowledge sharing. Information & Management, 45(7), 458–465. https://doi.org/10.1016/j.im.2008.06.007
Chowdhry, N., & Dholakia, U. M. (2020). Know thyself financially: How financial self‐awareness can benefit consumers and financial advisors. Financial Planning Review, 3(1). https://doi.org/10.1002/cfp2.1069
Conger, J. A., & Kanungo, R. N. (1988). The empowerment process: Integrating theory and practice. The Academy of Management Review, 13(3), 471–482. https://doi.org/10.2307/258093
Crosby, L. A., Evans, K. R., & Cowles, D. (1990). Relationship quality in services selling: An interpersonal influence perspective. Journal of Marketing, 54(3), 68–81. https://doi.org/10.2307/1251817
Deighton, J., & Kornfeld, L. (2009). Interactivity’s unanticipated consequences for marketers and marketing. Journal of Interactive Marketing, 23(1), 4–10. https://doi.org/10.1016/j.intmar.2008.10.001
Ejye Omar, O., & Owusu-Frimpong, N. (2007). Life insurance in Nigeria: An application of the theory of reasoned action to consumers’ attitudes and purchase intention. The Service Industries Journal, 27(7), 963–976. https://doi.org/10.1080/02642060701570891
Friedkin, N. E. (1993). Structural bases of interpersonal influence in groups: A longitudinal case study. American Sociological Review, 58(6), 861–872. https://doi.org/10.2307/2095955
Fu, S., Yan, Q., & Feng, G. C. (2018). Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context. International Journal of Information Management, 40, 88–102. https://doi.org/10.1016/J.IJINFOMGT.2018.01.013
Graves, L. M., & Powell, G. N. (1995). The effect of sex similarity on recruiters’ evaluations of applicants: A test of the similarity- attraction paradigm. Personnel Psychology, 48(1), 85–98. https://doi.org/10.1111/j.1744-6570.1995.tb01747.x
Hoehle, H., & Venkatesh, V. (2015). Mobile application usability. MIS Quarterly, 39(2), 435–472. https://www.jstor.org/stable/26628361
Hu, Z. (2022). Social interactions and households’ flood insurance decisions. Journal of Financial Economics, 144(2), 414–432. https://doi.org/https://doi.org/10.1016/j.jfineco.2022.02.004
Jo Black, N., Lockett, A., Ennew, C., Winklhofer, H., & McKechnie, S. (2002). Modeling consumer choice of distribution channels: An illustration from financial services. International Journal of Bank Marketing, 20(4), 161–173. https://doi.org/10.1108/02652320210432945
Kaiser, H. F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23(3), 187–200. https://doi.org/10.1007/BF02289233
Kaplan, R. M., & Kronick, R. G. (2006). Marital status and longevity in the United States population. Journal of Epidemiology and Community Health (1979-), 60(9), 760–765. http://www.jstor.org/stable/40665383
Kleinbaum, A. M., Stuart, T. E., & Tushman, M. L. (2013). Discretion within constraint: Homophily and structure in a formal organization. Organization Science, 24(5), 1316–1336. https://doi.org/10.1287/orsc.1120.0804
Lajuni, N., Lai, F. H., Sondoh Jr, S., & Mohidin, R. (2020). Consumer knowledge effect on intention to purchase life insurance. Labuan E-Journal of Muamalat and Society (LJMS), 14, 69–79.
Lawrence, B. S. (2006). Organizational reference groups: A missing perspective on social context. Organization Science, 17(1), 80–100.
Lewis, F. D. (1989). Dependents and the demand for life insurance. The American Economic Review, 79(3), 452–467. http://www.jstor.org/stable/1806856
Liao, C.-N., Chang, K.-E., Huang, Y.-C., & Sung, Y.-T. (2020). Electronic storybook design, kindergartners’ visual attention, and print awareness: An eye-tracking investigation. Computers & Education, 144, 103703. https://doi.org/https://doi.org/10.1016/j.compedu.2019.103703
Lin, L.-Y., & Chen, C.-S. (2006). The influence of the country-of-origin image, product knowledge and product involvement on consumer purchase decisions: An empirical study of insurance and catering services in Taiwan. Journal of Consumer Marketing, 23(5), 248–265. https://doi.org/10.1108/07363760610681655
Lu, Y., Zhao, L., & Wang, B. (2010). From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers’ purchase intention. Electronic Commerce Research and Applications, 9(4), 346–360. https://doi.org/10.1016/j.elerap.2009.07.003
Luo, C., Chen, Q., Zhang, Y., & Xu, Y. (2021). The effects of trust on policyholders’ purchase intentions in an online insurance platform. Emerging Markets Finance and Trade, 57(15), 4167–4184. https://doi.org/10.1080/1540496X.2019.1695122
Mackenzie, G. A. (Sandy). (2001). Annuity markets and pension reform. Cambridge University Press. https://doi.org/10.1017/CBO9780511607196
Malinova, M., & Mendling, J. (2021). Cognitive diagram understanding and task performance in systems analysis and design. MIS Quarterly, 45(4), 2101–2158. https://doi.org/10.25300/MISQ/2021/15262
Mamun, A. Al, Rahman, M. K., Munikrishnan, U. T., & Permarupan, P. Y. (2021). Predicting the intention and purchase of health insurance among Malaysian working adults. SAGE Open, 11(4). https://doi.org/10.1177/21582440211061373
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1), 415–444. https://doi.org/10.1146/annurev.soc.27.1.415
Moon, S., & Russell, G. J. (2008). Predicting product purchase from inferred customer similarity: An autologistic model approach. Management Science, 54(1), 71–82. https://doi.org/10.1287/mnsc.1070.0760
Morgan, G. A., Leech, N. L., Gloeckner, G. W., & Barrett, K. C. (2004). SPSS for introductory statistics: Use and interpretation. Psychology Press. https://doi.org/10.4324/9781410610539
Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. The Academy of Management Review, 23(2), 242–266. https://doi.org/10.2307/259373
Neslin, S. A., Grewal, D., Leghorn, R., Shankar, V., Teerling, M. L., Thomas, J. S., & Verhoef, P. C. (2006). Challenges and opportunities in multichannel customer management. Journal of Service Research, 9(2), 95–112. https://doi.org/10.1177/1094670506293559
Nosi, C., D’Agostino, A., Maria Pagliuca, M., & Alberto Pratesi, C. (2014). Saving for old age: Longevity annuity buying intention of Italian young adults. Journal of Behavioral and Experimental Economics, 51, 85–98. https://doi.org/10.1016/j.socec.2014.05.001
Panda, T. K. (2013). Effects of service quality and salesperson characteristics on consumer trust and relationship commitment: An empirical study on insurance buyers in India. Vision, 17(4), 285–292. https://doi.org/10.1177/0972262913505370
Park, H., Borde, S. F., & Choi, Y. (2002). Determinants of insurance pervasiveness: a cross-national analysis. International Business Review, 11(1), 79–96. https://doi.org/10.1016/S0969-5931(01)00048-8
Pavlou, & Fygenson. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115. https://doi.org/10.2307/25148720
Prakoso, A., Sulaeman, E., & Suryono, A. (2020). Application of health belief model on factors affecting participation in the national health insurance scheme among informal sector workers in Kudus, Central Java. Journal of Health Policy and Management, 5, 61–73. https://doi.org/10.26911/thejhpm.2020.05.01.06
Pressman, R., Andersen, H., Bébéar, C., Kist, E., O’Hara, B. M., & Thierry, J.-P. (2003). Insurance technology strategy: Time to re-evaluate. The Geneva Papers on Risk and Insurance, 28(1), 39–64.
Pumplun, L., Peters, F., Gawlitza, J. F., & Buxmann, P. (2023). Bringing machine learning systems into clinical practice: A design science approach to explainable machine learning-based clinical decision support systems. Journal of the Association for Information Systems, 24(4), 953–979. https://doi.org/10.17705/1jais.00820
Rufat, S., Robinson, P. J., & Botzen, W. J. W. (2024). Insights into the complementarity of natural disaster insurance purchases and risk reduction behavior. Risk Analysis, 44(1), 141–154. https://doi.org/10.1111/risa.14130
Shneiderman, B. (1996). The eyes have it: A task by data type taxonomy for information visualizations. Proceedings of the IEEE Symposium on Visual Languages, 336–343.
Sreedharan, R. V, & Saha, R. (2021). An integrated framework for service quality, choice overload, customer involvement and satisfaction Evidence from India’s non-life insurance sector. Management Decision, 59(4), 801–828. https://doi.org/10.1108/MD-12-2018-1354
Stolper, O., & Walter, A. (2018). Birds of a feather: The impact of homophily on the propensity to follow financial advice. The Review of Financial Studies, 32(2), 524–563. https://doi.org/10.1093/rfs/hhy082
Sümer, Ö., Bozkir, E., Kübler, T., Grüner, S., Utz, S., & Kasneci, E. (2021). FakeNewsPerception: An eye movement dataset on the perceived believability of news stories. Data in Brief, 35, 106909. https://doi.org/https://doi.org/10.1016/j.dib.2021.106909
Thomas, K. W., & Velthouse, B. A. (1990). Cognitive elements of empowerment: An interpretive model of intrinsic task motivation. The Academy of Management Review, 15(4), 666–681. https://doi.org/10.2307/258687
Upadhyay, S. S. N., Merrell, L. K., Temple, A., & Henry, D. S. (2022). Exploring the impact of instruction on college students’ health insurance literacy. Journal of Community Health, 47(4), 697–703. https://doi.org/10.1007/s10900-022-01096-2
Wang, J., Stebbins, A., & Ferdig, R. E. (2022). Examining the effects of students’ self-efficacy and prior knowledge on learning and visual behavior in a physics game. Computers & Education, 178, 104405. https://doi.org/https://doi.org/10.1016/j.compedu.2021.104405
Wang, M. (2022). An empirical analysis of social capital and household insurance purchases in the context of the Internet of Things: Evidence from China. Mobile Information Systems, 2022, 6922337. https://doi.org/10.1155/2022/6922337
Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35–57. https://doi.org/10.2307/25148667
Wedel, M., & Pieters, R. (2000). Eye fixations on advertisements and memory for brands: A model and findings. Marketing Science, 19(4), 297–312. https://doi.org/10.1287/mksc.19.4.297.11794
Williams, C. P., Platter, H. N., Davidoff, A. J., Vanderpool, R. C., Pisu, M., & de Moor, J. S. (2023). “It’s just not easy to understand”: A mixed methods study of health insurance literacy and insurance plan decision‐making in cancer survivors. Cancer Medicine, 12(14), 15424–15434. https://doi.org/10.1002/cam4.6133
Wood, R., & Bandura, A. (1989). Social cognitive theory of organizational management. The Academy of Management Review, 14(3), 361–384. https://doi.org/10.2307/258173
Yang, F., Tan, J., & Peng, L. (2020). The effect of risk perception on the willingness to purchase hazard insurance—A case study in the Three Gorges Reservoir region, China. International Journal of Disaster Risk Reduction, 45, 101379. https://doi.org/https://doi.org/10.1016/j.ijdrr.2019.101379
Yao, L., Liu, Y., Li, W., Zhou, L., Ge, Y., Chai, J., & Sun, X. (2014). Using physiological measures to evaluate user experience of mobile applications. In D. Harris (Ed.), Engineering Psychology and Cognitive Ergonomics (pp. 301–310). Springer International Publishing. |
