Toward the digital economy: Mobile payment affecting sustainable consumption behavior
-
DOIhttp://dx.doi.org/10.21511/im.19(1).2023.19
-
Article InfoVolume 19 2023, Issue #1, pp. 220-232
- Cited by
- 657 Views
-
270 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Mobile payment has a pronounced impact on the consumption mode of various industries and provides new clues for sustainable consumption. This study aims to explore the role of perceived risk and perceived technology on sustainable consumption intention and behavior. Moreover, it proposes the structural equation model of mobile payment for sustainable consumption behavior. 574 participants from Chinese higher education institutions filled in the questionnaire. The bootstrapping method was used to solve the problem of mediating factors. Amos 26.0 helped to construct structural equation models. The study determined the negative effect of the perceived mobile payment risk on the perceived mobile payment usefulness, perceived mobile payment ease of use, and sustainable consumption intention. Moreover, the three variables have a particular buffer in the relationship between perceived mobile payment risk and sustainable consumption behavior. Furthermore, perceived mobile payment usefulness positively impacts sustainable consumption intention, and they have a chain-mediated effect on the relationship between perceived mobile payment risk and sustainable consumption behavior. The same effect also occurs in the relationship between perceived mobile payment ease of use and sustainable consumption intention.
- Keywords
-
JEL Classification (Paper profile tab)O33, G14, F47
-
References44
-
Tables7
-
Figures2
-
- Figure 1. Confirmatory factor analysis
- Figure 2. Structural equation model of mobile payment for sustainable consumption behavior
-
- Table 1. Respondents’ demographics
- Table 2. Validity test
- Table 3. Reliability statistics
- Table 4. Model fitting results
- Table 5. Convergence validity
- Table 6. Discriminant validity test
- Table 7. Path analysis of structural equation model
-
- Ab hamid, N., & Cheng, A. Y. (2013). A risk perception analysis on the use of electronic payment systems by young adult. WSEAS Transactions on Information Science and Applications, 10(1), 26-35.
- Cao, T. (2021). The study of factors on the small and medium enterprises’ adoption of mobile payment: implications for the COVID-19 era. Frontiers in Public Health, 9, 646592.
- Dabbous, A., & Tarhini, A. (2019). Assessing the impact of knowledge and perceived economic benefits on sustainable consumption through the sharing economy: A sociotechnical approach. Technological Forecasting and Social Change, 149, 119775.
- do Paço, A., Shiel, C., & Alves, H. (2019). A new model for testing green consumer behaviour. Journal of Cleaner Production, 207, 998-1006.
- Gbongli, K., Xu, Y., & Amedjonekou, K. M. (2019). Extended technology acceptance model to predict mobile-based money acceptance and sustainability: A multi-analytical structural equation modeling and neural network approach. Sustainability, 11(13), 3639.
- Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572-2593.
- Hair, G., Black, B., Babin, B., Anderson, R., & Tatham, R. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Pearson.
- Hernandez, R. J., Miranda, C., & Goñi, J. (2020). Empowering sustainable consumption by giving back to consumers the ‘right to repair’. Sustainability, 12(3), 850.
- Hu, X., Guo, C., Liu, J., & Zhang, K. (2022). Bridging the digital divide: Childhood social relationships and mobile payment use among Chinese middle-aged and older adults. Journal of Applied Gerontology, 41(12), 2469-2479.
- Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption intention of fintech services for bank users: An empirical examination with an extended technology acceptance model. Symmetry, 11(3), 340.
- Huang, L., & Lau, N. (2020). Enhancing the smart tourism experience for people with visual impairments by gamified application approach through needs analysis in Hong Kong. Sustainability, 12(15), 6213.
- Jiang, S., Jotikasthira, N., & Pu, R. (2022). Toward sustainable consumption behavior in online education industry: The role of consumer value and social identity. Frontiers in Psychology, 13, 865149.
- Jiang, X. (2020). Digital economy in the post-pandemic era. Journal of Chinese Economic and Business Studies, 18(4), 333-339.
- 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.
- Khanra, S., Dhir, A., Kaur, P., & Joseph, R. P. (2021). Factors influencing the adoption postponement of mobile payment services in the hospitality sector during a pandemic. Journal of Hospitality and Tourism Management, 46, 26-39.
- Lazaroiu, G., Andronie, M., Uta, C., & Hurloiu, I. (2019). Trust management in organic agriculture: sustainable consumption behavior, environmentally conscious purchase intention, and healthy food choices. Frontiers in Public Health, 7, 340.
- Li, J., Wang, J., Wangh, S., & Zhou, Y. (2019). Mobile payment with Alipay: An application of extended technology acceptance model. IEEE Access, 7, 50380-50387.
- Lim, S. H., Kim, D. J., Hur, Y., & Park, K. (2019). An empirical study of the impacts of perceived security and knowledge on continuous intention to use mobile fintech payment services. International Journal of Human–Computer Interaction, 35(10), 886-898.
- Lin, X., Wu, R., Lim, Y.-T., Han, J., & Chen, S.-C. (2019). Understanding the sustainable usage intention of mobile payment technology in Korea: Cross-countries comparison of Chinese and Korean users. Sustainability, 11(19), 5532.
- Liu, C. H., Chen, Y. T., Kittikowit, S., Hongsuchon, T., & Chen, Y. J. (2022). Using unified theory of acceptance and use of technology to evaluate the impact of a mobile payment app on the shopping intention and usage behavior of middle-aged customers. Frontiers in Psychology, 13, 830842.
- Ma, Q., Wang, M., He, Y., Tan, Y., & Zhang, L. (2021). Does mobile payment change consumers’ perception during payment process? – An ERP study. Neuroscience Letters, 762, 136138.
- Moureaud, C., Hertig, J., Dong, Y., Muraro, I. S., & Alhabash, S. (2021). Purchase of prescription medicines via social media: A survey-based study of prevalence, risk perceptions, and motivations. Health Policy, 125(11), 1421-1429.
- Mueller, R. O., & Hancock, G. R. (2018). Structural equation modeling. In The reviewer’s guide to quantitative methods in the social sciences (pp. 445-456). Routledge.
- Naruetharadhol, P., Wongsaichia, S., Zhang, S., Phonthanukitithaworn, C., & Ketkaew, C. (2022). Understanding consumer buying intention of e-commerce airfares based on multivariate demographic segmentation: A multigroup structural equation modeling approach. Sustainability, 14(15), 8997.
- Niu, F. (2022). The role of the digital economy in rebuilding and maintaining social governance mechanisms. Frontiers in Public Health, 9, 819727.
- Pal, A., Herath, T., De’, R., & Rao, H. R. (2020). Contextual facilitators and barriers influencing the continued use of mobile payment services in a developing country: Insights from adopters in India. Information Technology for Development, 26(2), 394-420.
- Pertiwi, D., Suprapto, W., & Pratama, E. (2020). Perceived usage of e-wallet among the Y generation in Surabaya based on technology acceptance model. Jurnal Teknik Industri, 22(1), 17-24.
- Pu, R., Tanamee, D., & Jiang, S. (2022). Digitalization and higher education for sustainable development in the context of the Covid-19 pandemic: A content analysis approach. Problems and Perspectives in Management, 20(1), 27-40.
- Putra, R. L., Setiawan, M., Hussein, A. S., & Yuniarinto, A. (2022). Perceived digital value toward continuous intention to use among mobile payment users during pandemic outbreak. Frontiers in Psychology, 13, 892821.
- Saari, U. A., Damberg, S., Frömbling, L., & Ringle, C. M. (2021). Sustainable consumption behavior of Europeans: The influence of environmental knowledge and risk perception on environmental concern and behavioral intention. Ecological Economics, 189, 107155.
- Sasongko, D. T., Handayani, P. W., & Satria, R. (2022). Analysis of factors affecting continuance use intention of the electronic money application in Indonesia. Procedia Computer Science, 197, 42-50.
- Seo, K. H., & Lee, J. H. (2021). The emergence of service robots at restaurants: Integrating trust, perceived risk, and satisfaction. Sustainability, 13(8), 4431.
- Shkarlet, S., Dubyna, M., Shtyrkhun, K., & Verbivska, L. (2020). Transformation of the paradigm of the economic entities development in digital economy. WSEAS Transactions on Environment and Development, 16(8), 413-422.
- Sturgeon, T. J. (2021). Upgrading strategies for the digital economy. Global Strategy Journal, 11(1), 34-57.
- Tsaramirsis, G., Kantaros, A., Al-Darraji, I., Piromalis, D., Apostolopoulos, C., Pavlopoulou, A., Alrammal, M., Ismail, Z., Buhari, S. M., Stojmenovic, M., Tamimi, H., Randhawa, P., Patel, A., & Khan, F. Q. (2022). A modern approach towards an industry 4.0 model: From driving technologies to management. Journal of Sensors, 5023011.
- Wang, S., Wang, J., Li, J., Wang, J., & Liang, L. (2018). Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter? Transportation Research Part A: Policy and Practice, 117, 58-69.
- Wang, X., Lu, A., Lin, T., Liu, T., Song, T., Huang, X., & Jiang, L. (2022). Perceived usefulness predicts second language learners’ continuance intention toward language learning applications: a serial multiple mediation model of integrative motivation and flow. Education and Information Technologies, 27, 5033-5049.
- Wang, Y., Wang, S., Wang, J., Wei, J., & Wang, C. (2020). An empirical study of consumers’ intention to use ride-sharing services: Using an extended technology acceptance model. Transportation, 47(1), 397-415.
- Wei, Y., Wang, C., Zhu, S., Xue, H., & Chen, F. (2018). Online purchase intention of fruits: Antecedents in an integrated model based on technology acceptance model and perceived risk theory. Frontiers in Psychology, 9, 1521.
- Wong, W. H., & Mo, W. Y. (2019). A study of consumer intention of mobile payment in Hong Kong, based on perceived risk, perceived trust, perceived security and technological acceptance model. Journal of Advanced Management Science, 7(2), 33-38.
- Yang, C., Tu, J.-C., & Jiang, Q. (2020). The influential factors of consumers’ sustainable consumption: A case on electric vehicles in China. Sustainability, 12(8), 3496.
- Yang, Y., Liu, Y., Li, H., & Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management & Data Systems, 115(2), 253-269.
- Yetter, G., & Foutch, V. (2014). Exploration of the structural and convergent validity of the social problem-solving inventory-revised with native American youth. Cultural Diversity & Ethnic Minority Psychology, 20(2), 276-282.
- Yuan, Y., Lai, F., & Chu, Z. (2019). Continuous usage intention of Internet banking: A commitment-trust model. Information Systems and e-Business Management, 17(1), 1-25.