跳到主要內容

簡易檢索 / 詳目顯示

研究生: 黃樂萍
Huang, Le-Ping
論文名稱: 社會資本與消費者賦權對網路購買保險的影響
The influence of social capital and consumer empowerment on online insurance purchase intention
指導教授: 林怡伶
Lin, Yi-Ling
彭金隆
Peng, Jin-Lung
口試委員: 林育慈
Lin, Yu-Tzu
學位類別: 碩士
Master
系所名稱: 商學院 - 資訊管理學系
Department of Management Information System
論文出版年: 2024
畢業學年度: 112
語文別: 英文
論文頁數: 93
中文關鍵詞: 社會資本消費者賦權眼動儀數位化購買意願
外文關鍵詞: Social capital, Consumer empowerment, Eye-tracking, Digitalization, Purchase intention
相關次數: 點閱:22下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 此研究探討社會資本和消費者賦權於網路購買保險的影響。保險作為一種複雜的金融工具,需要消費者具備一定程度的保險知識才能加以理解,因此我們探討如何運用社會資本幫助消費者彌補保險知識的不足。此研究強調數位化環境中相似的重要性及其對消費者行為的影響,包括消費者的感知自我能力和感知可控性以及其對消費者購買意願的影響。通過理論模型和實證分析,我們希望能提供在網路購買保險情境下消費者行為的洞察,並為保險公司提升線上客戶參與度及提供寶貴建議。


    This study investigates the influence of social capital and consumer empowerment within the context of online insurance purchasing. Insurance, as a complex financial instrument, requires significant consumer knowledge for understanding. We explore how social capital can help consumers mitigate the knowledge gap in insurance. The research underscores the importance of perceived similarity in digital settings and its impact on consumer behavior. We examine consumer empowerment, characterized by perceived self-efficacy and perceived controllability, and its effect on purchase intentions. By integrating theoretical models and empirical research, we aim to provide insights into factors affecting consumer behavior in the digital insurance market and offer valuable guidance for insurance companies in enhancing online customer engagement and experience.

    Chapter 1 Introduction 7
    Chapter 2 Theoretical development 10
    2.1 Digitalization 10
    2.2 Social capital theory 10
    2.2.1 Similarity 11
    2.3 Awareness 13
    2.4 Self-efficacy theory 13
    2.4.1 Perceived self-efficacy 14
    2.4.2 Perceived controllability 14
    Chapter 3 Research model and hypothesis 16
    Chapter 4 Research methodology 22
    4.1 Experimental tasks and measurement 22
    4.1.1 Experiment design 22
    4.1.2 Experiment methodology 23
    4.1.3 Experiment process 24
    4.1.4 Experiment tasks 24
    4.1.5 Experiment measurement 25
    4.2 Data collection 25
    Chapter 5 Data analysis and results 27
    5.1 Similarity-based interface design 27
    5.1.1 Qualitative survey study 27
    5.1.2 Online questionnaire 27
    5.1.3 Walk-throughs 31
    5.1.4 Conclusion of design principles 32
    5.2 Eye-tracking experiment analysis 36
    5.2.1 Completion time analysis 36
    5.2.2 Task completion rates analysis 39
    5.2.3 Heat map analysis for home page 42
    5.2.4 Gaze plot and heat map analysis for insurance product page 45
    5.2.5 Area of interest (AOI) analysis for product introduction page 49
    5.2.6 Heat map and gaze plot analysis for product introduction page 56
    5.3 Self-report 59
    5.3.1 Data reliability and validity 60
    5.3.2 Data analysis 61
    Chapter 6 Discussion and Conclusion 67
    6.1 Findings of eye-tracking experiment 67
    6.2 Theoretical contributions 68
    6.3 Practical implications 68
    6.4 Limitations and future research 69
    Reference 71
    Appendix 77

    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.

    無法下載圖示 全文公開日期 2029/07/31
    QR CODE
    :::