Purchase intention of Millennial Muslims toward B2C e-commerce
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DOIhttp://dx.doi.org/10.21511/im.21(1).2025.11
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Article InfoVolume 21 2025, Issue #1, pp. 129-141
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Creative Commons Attribution 4.0 International License
Indonesia’s e-commerce market, particularly B2C, continues to expand, attracting both domestic and foreign investments. Despite this growth, a notable decline in B2C sales occurred. This drop is largely attributed to rising competition in the market, which has made it increasingly difficult for platforms to retain consumer interest. This study investigates the factors that influence Millennial Muslim consumers’ purchase intentions on B2C e-commerce in Indonesia using structural equation modeling. The respondents in this study were taken from the Millennial generation of e-commerce users. This generation was chosen because they are economically more established than Generation Z and in terms of technology use, are more expert than Baby Boomers. Initially, 700 responses were collected, but after excluding incomplete or non-qualifying data, 434 valid responses were analyzed. The findings reveal that perceived risk (β: 0.206), perceived quality (β: 0.440), and enduring involvement (β: 0.240) positively affect perceived trust, whereas situational involvement (β: -0.331) has a negative impact. Additionally, enduring involvement (β: 0.659), situational involvement (β: 0.133), and perceived trust (β: 0.103) were found to positively influence purchase intention, while perceived risk (β: -0.093) negatively affects it. The study emphasizes that enduring involvement (β: 0.659) is the strongest variable that increase purchase intention in B2C e-commerce. Enduring involvement refers to a consumer’s long-term interest and engagement with a product category, driven by personal relevance, values, or consistent motivations.
Acknowledgment
The authors would like to thank the Research and Innovation Institute (LRI), Universitas Muhammadiyah Surakarta, for the enormous financial support in writing this study through the funding scheme of the 2025 Outstanding Research of Study Program (RU-PRODI).
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JEL Classification (Paper profile tab)M21, N35, M31
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References82
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Tables4
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Figures1
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- Figure 1. Structural model results
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- Table 1. Constructs and measurement items
- Table 2. Test of composite reliability and convergent validity
- Table 3. Results of Exploratory Factor Analysis
- Table 4. Path estimation
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- Ajzen, F., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261-277.
- Al-Debei, M., Akroush, M. N., & Ashouri, M. I. (2015). Consumer attitudes towards online shopping: The effects of trust, perceived benefits, and perceived web quality. Internet Research, 25(5), 707-733.
- Al-Maghrabi, T., & Dennis, C. (2011). What drives consumers’ continuance intention to e-shopping?: Conceptual framework and managerial implications in the case of Saudi Arabia. International Journal of Retail & Distribution Management 39(12), 899-926.
- Almajali, D., & Al-Hammouri, Q. (2021). Predictors of Online Shopping During Covid-19 Pandemic in Developing Country: Qualitative Analysis. Annals of the Romanian Society for Cell Biology, 25(6), 12970-12977.
- Armstrong, G., & Kotler, P. (2014). Principles of marketing. Pearson Australia.
- Azam, A., Qiang, F., Abbas, S. A., & Ibrahim, Abdullah, M. (2013). Structural equation modeling (SEM) based trust analysis of Muslim consumers in the collective religion affiliation model in e-commerce. Journal of Islamic Marketing, 4(2), 134-149.
- Badan Pusat Statistik. (2016). Central Bureau of Statistics. BPS Republik Indonesia.
- Barnes, S. J., & Vidgen, R. (2001). Assessing the quality of auction web sites. Proceedings of the 34th Annual Hawaii International Conference on System Sciences, Maui, HI, USA.
- Bauer, R. A. (1960) Consumer Behavior as Risk Taking. In: Hancock, R. S. (Ed.), Dynamic Marketing for a Changing World, Proceedings of the 43rd. Conference of the American Marketing Association (pp. 389-398).
- Bavarsad, F. Rahimi, Mohammad, A. & Mennatyan (2013). A Study of the Effects of Website’s Perceived Features on the Intention to Use E-shopping. World Applied Programming, 3(6), 252-263.
- Belch, G. E. B., & Belch, M. (2004). Advertising and promotion: An integrated marketing communications perspective. New York: McGraw-Hill.
- Bhatnagar, A., & Ghose, S. (2004). Segmenting consumers based on the benefits and risks of Internet shopping. Journal of Business Research, 57(12), 1352-1360.
- Bradley, C. S. (2018). Confirmatory Factor Analysis of the Debriefing for Meaningful Learning Inventory©. Clinical Simulation in Nursing, 14, 15-20.
- Chang, H., & Wen Chen, S. W. (2008). The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator. Online Information Review, 32(6), 818-841.
- Chau, P. Y. K., Hu, P. J. H., Lee, B. L. P., & Au, A. K. K. (2007). Examining customers’ trust in online vendors and their dropout decisions: An empirical study. Electronic Commerce Research and Applications, 6(2), 171-182.
- Chen, C.-C., Hsiao, K. L., & Wu, S. J. (2018). Purchase intention in social commerce: An empirical examination of perceived value and social awareness. Library Hi Tech, 36(4), 583-604.
- Chen, S. C., & Dillon, G. S. (2003). Interpreting Dimensions of Consumer Trust in E-Commerce. Information Technology and Management, 4(2/3), 303-318.
- Chiu, C. M., Hsu, M. H., Lai, H., & Chang, C. M. (2012). Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents. Decision Support Systems, 53(4), 835-845.
- Clifton, B. (2012). Advanced web metrics with Google Analytics. John Wiley & Sons.
- Clow, K. E., & Baack, K. C. (2010). Integrated Advertising, Promotion and Marketing Communications. Pearson.
- Corbitt, B. J., Thanasankit, T., & Han, Y. (2003). Trust and e-commerce: A study of consumer perceptions. Electronic Commerce Research and Applications, 2(3), 203-215.
- Csikszentmihalyi, M. (1990). Flow. The Psychology of Optimal Experience. New York.
- Dai, B., Forsythe, S., & Kwon, W.-S. (2013). The impact of online shopping experience on risk perceptions and online purchase intentions: Does product category matter? Journal of Electronic Commerce Research, 15(1), 13-24.
- de Ruyter, K., Moorman, L., & Lemmink, J. (2001). Antecedents of Commitment and Trust in Customer-Supplier Relationships in High Technology Markets. Industrial Marketing Management, 30(3), 271-286.
- Dries, N., Pepermans, R., & De Kerpel, E. (2008). Exploring four generations’ beliefs about career Is ‘satisfied’ the new ‘successful’? Journal of Managerial Psychology, 23(8), 907-928.
- Eggert, A. (2006). Intangibility and Perceived Risk in Online Environments. Journal of Marketing Management, 22(5-6), 553-572.
- Emarketer. (2017). A Brief Overview of the Global Ecommerce Market | eMarketer Retail.
- Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical Testing of a Model of Online Store Atmospherics and Shopper Responses. Psychology & Marketing, 20(2), 139-150.
- eShopWorld. (2019). Global Ecommerce Market Ranking 2019.
- Eslami, S. P., & Ghasemaghaei, M. (2018). Effects of online review positiveness and review score inconsistency on sales: A comparison by product involvement. Journal of Retailing and Consumer Services, 45, 74-80.
- Febriandika, N. R., Millatina, A. N., Luthfiyatillah, & Herianingrum, S. (2020). Customer E-Loyalty of Muslim Millennials in Indonesia: Integrated Model of Trust, User Experience and Branding in E-Commerce Webstore. In ACM International Conference Proceeding Series (pp. 369-376).
- Febriandika, N. R., Millatina, A. N., Luthfiyatillah, & Herianingrum, S. (2020). Customer E-Loyalty of Muslim Millennials in Indonesia: Integrated Model of Trust, User Experience and Branding in E-Commerce Webstore. In Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning (pp. 369-376).
- Febriandika, N., Wijaya, V., & Hakim, L. (2023). Gen-Z Muslims’ purchase intention of halal food: Evidence from Indonesia. Innovative Marketing, 19(1), 13-25.
- Ferns, B. H., & Walls, A. (2012). Enduring travel involvement, destination brand equity, and travelers’ visit intentions: A structural model analysis. Journal of Destination Marketing and Management, 1(1-2), 27-35.
- Fischer, K. E. (2012). Decision-making in healthcare: A practical application of partial least square path modelling to coverage of newborn screening programmes. BMC Medical Informatics and Decision Making, 12, 1-13.
- Flynn, R. L., & Goldsmith, R. E. (1993). A validation of the goldsmith and hofacker innovativeness scale. Educational and Psychological Measurement, 53(4), 1105-1116.
- Forsythe, S., Shannon, D. M., Gardner, L. C., & Liu, C. (2006). Development of a Scale to Measure The Perceived Benefits and Risks of Online Shopping. Journal of Interactive Marketing, 20(2), 55-75.
- Gao, X., Shi, X., Guo, H., & Liu, Y. (2020). To buy or not buy food online: The impact of the COVID-19 epidemic on the adoption of e-commerce in China. PLoS One, 15(8), 1-14.
- Goodwin, S. A. (2009). The concept and measurement of perceived risk: a marketing application in the context of the new product development process. In Proceedings of ASBBS Annual Conf, (pp. 142-150).
- Ha, Y., &. Lennon, S. J. (2010). Effects of site design on consumer emotions: Role of product involvement. Journal of Research in Interactive Marketing, 4(2), 80-96.
- Ha, Y., &. Lennon, S. J. (2011). Consumer responses to online atmosphere: The moderating role of atmospheric responsiveness. Journal of Global Fashion Marketing, 2(2), 86-94.
- Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Cluster Analysis. Multivariate data analysis. Pearson Education.
- Havitz, M. E., & Mannell, R. C. (2005). Enduring involvement, situational involvement, and flow in leisure and non-leisure activities. Journal of Leisure Research, 37(2), 152-177.
- Hong, I. B. (2015). Understanding the consumer’s online merchant selection process: The roles of product involvement, perceived risk, and trust expectation. International Journal of Information Management, 35(3), 322-336.
- Houston, M. J., & Rothschild, M. L. (1978) Conceptual and Methodological Perspectives on Involvement. In Hunt, H. K. (Ed.), Advances in Consumer Research 5, Association for Consumer Research (pp. 184-187).
- Hsiao, K. L., Lin, J. C. C., Wang, X. Y., Lu, H. P., & Yu, H. (2010). Antecedents and consequences of trust in online product recommendations an empirical study in social shopping. Online Information Review, 34(6), 935-953.
- Im, H., & Young, H. (2011). The effect of perceptual fluency and enduring involvement on situational involvement in an online apparel shopping context. Journal of Fashion Marketing and Management, 15(3), 345-362.
- Kim, D., Lee, K.-Y., Lee, D., & Ferrin, D. (2003). Trust, Risk and Benefit in Electronic Commerce: What Are the Relationships? In 9th Americas Conference on Information Systems, AMCIS 2003, Tampa, FL, USA, August 4-6, 2003.
- Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318-332.
- Koufaris, M., & Hampton-Sosa, W. (2004). The development of initial trust in an online company by new customers. Information & Management, 41(3), 377-397.
- Kupperschmidt, B. R. (2000). Multigenerational employees: strategies for effective management. Health Care Manager, 19(1), 65-76.
- Laudon, K. C., & Traver, G. C. (2017). E-commerce: business. Technology, society.
- Leung, Xi Y., & Cai, R. (2021). How pandemic severity moderates digital food ordering risks during COVID-19: An application of prospect theory and risk perception framework. Journal of Hospitality and Tourism Management, 47, 497-505.
- Li, C., Xu, Y., Gill, A., Haider, Z. A., & Wand, Y. (2019). Religious beliefs, socially responsible investment, and cost of debt: Evidence from entrepreneurial firms in India. Emerging Markets Review, 38, 102-114.
- Li, Y. (2016). Empirical Study of Influential Factors of Online Customers’ Repurchase Intention. IBusiness, 8(3), 48-60.
- Ling, C. K., D., bin Daud, D., Hoi Piew, T., Keoy, K. H., & Hassan, P. (2011). Perceived Risk, Perceived Technology, Online Trust for the Online Purchase Intention in Malaysia. International Journal of Business and Management, 6(6), 167-182.
- Lu, B., Fan, W., & Zhou, M. (2016). Social presence, trust, and social commerce purchase intention: An empirical research. Computers in Human Behavior, 56, 225-237.
- Meriac, J. P., Woehr, D. J., & Banister, C. (2010). Generational differences in work ethic: An examination of measurement equivalence across three cohorts. Journal of Business and Psychology, 25(2), 315-324.
- Morgan, R. M., & Hunt, S. (1994). The Commitment-Trust Theory of Relationship Marketing. Journal of Marketing, 58, 20-38.
- Moslehpour, M., Pham, V. K., Wong, W. K., & Bilgiçli, I. (2018). E-Purchase Intention of Taiwanese Consumers: Sustainable Mediation of Perceived Usefulness and Perceived Ease of Use. Sustainability, 10(1), 234.
- Mousavi Khaneghah, E., Shadnosh, N., & Salem, A. (2017). Artemis time: A mathematical model to calculate maximum acceptable waiting time in B2C e-commerce. Cogent Business & Management, 4(1), 1167-1195.
- Nusair, K., Bilgihan, A., Okumus, F., & Cobanoglu, C. (2013). Generation Y travelers’ commitment to online social network websites. Tourism Management, 35, 13-22.
- Olson, J. C., & Peter, P. (1987). Consumer Behavior: Marketing Strategy Perspective. Illinois: Richard D. Irwin.
- Pappas, N. (2016). Marketing strategies, perceived risks, and consumer trust in online buying behaviour. Journal of Retailing and Consumer Services, 29, 92-103.
- Park, H., Lee, J., & Han, I. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125-148.
- Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134.
- Pavlou, P. A., & Gefen, D. (2004). Building effective online marketplaces with institution-based trust. Information Systems Research, 15.
- Pi, S. M., & Sangruang, J. (2011). The perceived risks of online shopping in Taiwan. Social Behavior and Personality: an international journal, 39(2), 275-285.
- Racherla, P., Mandviwalla, M., & Connoly, D. J. (2012). Factors affecting consumers’ trust in online product reviews. Journal of Consumer Behaviour, 11, 94-104.
- Raines, C. (2003). Connecting generations: The sourcebook for a new workplace. Thomson Crisp Learning.
- Rizvi, S. A. R., Narayan, P. K., Sakti, A., & Syarifuddin, F. (2020). Role of Islamic banks in Indonesian banking industry: an empirical exploration. Pacific-Basin Finance Journal, 62, 101117.
- Sanny, L., Julianto, T. D., Savionus, S., & bin Yus Kelena, B. W. (2022). Purchase intention in the fashion industry on local and international E-commerce in Indonesia. International Journal of Asian Business and Information Management, 13(2), 1-12.
- Spence, H. E., Engel, J. F., & Blackwell, R. D. (1970). Perceived Risk in Mail-Order and Retail Store Buying. Journal of Marketing Research, 7(3), 364-369.
- Strauss, M. E., & Smith, G. T. (2009). Construct validity: Advances in theory and methodology. Annual Review of Clinical Psychology, 5, 1-25.
- Teichert, T., & Rost, K. (2003). Trust , involvement profile and customer retention – modelling , effects and implications. International Journal of Technology Management, 26(5/6), 621-639.
- Thorne, S., & Bruner, G. C. (2006). An exploratory investigation of the characteristics of consumer fanaticism. Qualitative Market Research, 9, 51-72.
- Yilan, Y., & Suyun, D. (2016). Empirical study for the influence factors of customer satisfaction based on B2C online shopping. Journal of Computational and Theoretical Nanoscience, 13(12), 10364-10368.
- Zahid, M. M., Ali, B., Ahmad, M. S., Thurasamy, R., & Amin, N. (2018). Factors Affecting Purchase Intention and Social Media Publicity of Green Products: The Mediating Role of Concern for Consequences. Corporate Social Responsibility and Environmental Management, 25(3), 225-236.
- Zainul, N., Osman, F, & Hartinin Mazlan, S. (2004). E-Commerce from an Islamic perspective. Electronic Commerce Research and Applications, 3(3), 280-293.
- Zheng, L., Favier, M., Huang, P., & Coat, F. (2012). Chinese consumer perceived risk and risk relievers in e-shopping for clothing. Journal of Electronic Commerce Research, 13(3), 255-274.
- Zhu, D. H., Sun, H., & Chang, P. Y. (2016). Effect of social support on customer satisfaction and citizenship behavior in online brand communities: The moderating role of support source. Journal of Retailing and Consumer Services, 31, 287-293.
- Zhu, W., Mou, J., & Benyoucef, M. (2019). Exploring purchase intention in cross-border E-commerce: A three stage model. Journal of Retailing and Consumer Services, 51, 320-330.