Measuring factors affecting consumer attitudes toward metaverse adoption: Islamic banking services setting
-
Received July 25, 2024;Accepted December 9, 2024;Published December 23, 2024
-
Author(s)Link to ORCID Index: https://orcid.org/0000-0002-8046-0335Link to ORCID Index: https://orcid.org/0000-0003-1572-2973Link to ORCID Index: https://orcid.org/0000-0002-9799-7198
-
DOIhttp://dx.doi.org/10.21511/bbs.19(4).2024.16
-
Article InfoVolume 19 2024, Issue #4, pp. 205-219
- TO CITE АНОТАЦІЯ
- 6 Views
-
0 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Adopting metaverse technology in the banking sector is generating considerable interest. Investigating customers’ behavior is considered a primary element in adopting metaverse technologies in banking settings. This study combines the Trust Theoretic Model, Task-Technology Fit Model, and theory of planned behavior to explore consumers’ intentions to adopt metaverse Islamic mobile banking services in Jordan. Based on the Structural Equation Modeling (SEM) approach, the results using an electronic survey of 391 metaverse consumers among metaverse Islamic mobile banking services show that consumer trust based on its priors (perceived risk, perceived reputation, service quality, and perceived regulatory support) has a significant influence on consumer behavior intention at a significant P-value level (< 0.001). Furthermore, the results affirm that Task-Technology Fit plays a significant role in consumer behavior intention at a significant P-value level (< 0.001). Moreover, consumer behavior intention has a significant influence on consumers’ decision to adopt metaverse Islamic mobile banking services in Jordan at a significant P-value level (< 0.001). The findings of this study present critical insights for Islamic bank management in Jordan, assisting in developing their metaverse Islamic mobile banking, maintaining a strong relationship with consumers, and fostering consumer experiences. This study highlights the significance of adopting metaverse technologies in Islamic mobile banking services.
- Keywords
-
JEL Classification (Paper profile tab)L86, M15, L84
-
References72
-
Tables6
-
Figures1
-
- Figure 1. Conceptual model of the study
-
- Table 1. Demographic profile of respondents
- Table 2. Model fit assessment results
- Table 3. Convergent validity and construct reliability outcomes
- Table 4. Discriminant validity outcomes
- Table 5. Results of squared multiple correlations (R2)
- Table 6. SEM results of hypotheses regarding this study model
-
- Adke, V., Bakhshi, P., & Askari, M. (2024). Impact of digitalisation on customer experience management in retail banking. International Journal of Electronic Banking, 4(2), 154-167.
- Ahmad, M., Zafar, M. B., & Perveen, A. (2024). Consumer shift behavior from conventional to Islamic banking: decision-making analysis through AHP. Journal of Islamic Marketing, 15(5), 1280-1302.
- Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
- Akour, I. A., Al-Maroof, R. S., Alfaisal, R., & Salloum, S. A. (2022). A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach. Computers and Education: Artificial Intelligence, 3, 100052.
- Al-Afeef, M., Jaradat, H., Al-Smadi, R. W., & Al Shbail, M. (2024). Nurturing trust in Islamic banking within the metaverse for market success. Journal of Islamic Marketing.
- Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99-110.
- Alhanatleh, H. M. (2021). The effect of electronic banking services usage on clients electronic loyalty. International Journal of Human Capital in Urban Management, 6(4), 461-476.
- Alhanatleh, H., Khaddam, A., & Abousweilem, F. (2022). Mobile government public value model for assessing the public institution’s services: evidence through the context of Jordan. International Journal of Data and Network Science, 6(4), 1295-1308.
- Alhanatleh, H., Khaddam, A., Abudabaseh, F., Alghizzawi, M., & Alzghoul, A. (2024). Enhancing the public value of mobile fintech services through cybersecurity awareness antecedents: A novel framework in Jordan. Investment Management and Financial Innovations, 21(1), 417-430.
- Alkasasbeh, H., Oudat, M. S., Abu-AlSondos, I., & Alhawamdeh, L. (2024). Metaverse finance: shaping the future of Islamic fintech solutions in UAE. Journal of Islamic Marketing.
- Alkhatib, A., Alshrouf, M., Shadid, M., AlZeer, I., Ajouz, M., Al-ramahi, N., & Binsaddig, R. (2024). Social Factors Affecting Customers’ Orientation to Islamic Banks. In Musleh Al-Sartawi, A. M. A., Al-Qudah, A. A., & Shihadeh, F. (Eds.), Artificial Intelligence-Augmented Digital Twins: Transforming Industrial Operations for Innovation and Sustainability (pp. 455-468). Cham: Springer Nature Switzerland.
- Alshurafat, H., Arabiat, O., & Shehadeh, M. (2024). The intention to adopt metaverse in Islamic banks: an integrated theoretical framework of TAM and religiosity intention model. Journal of Islamic Marketing.
- Alshuryfeen, A. M., Alotoum, F. J., & Alkilani, Y. (2024, February). The Impact of Challenges in Metaverse Implementation in Jordan Tourism. In 2024 2nd International Conference on Cyber Resilience (ICCR) (pp. 1-8). IEEE.
- Amar, K., Nadiyah, K., & Bahri, S. (2024). Measuring bank service quality and recommendations for improvement: A case of Indonesia. International Journal of Innovative Research and Scientific Studies, 7(2), 499-508.
- Amnas, M. B., Selvam, M., Raja, M., Santhoshkumar, S., & Parayitam, S. (2023). Understanding the Determinants of FinTech Adoption: Integrating UTAUT2 with Trust Theoretic Model. Journal of Risk and Financial Management, 16(12), 505.
- Awang, Z. (2014). A handbook on SEM for academicians and practitioners: step by step practical guides for the beginners (Vol. 2 First). Perpustakan Negara Malaysia: MPSW Rich Resources.
- Aysan, A. F., Gozgor, G., & Nanaeva, Z. (2024). Technological perspectives of Metaverse for financial service providers. Technological Forecasting and Social Change, 202, 123323.
- Baxi, C. O., Patel, K. J., Patel, K. M., Patel, V. B., & Acharya, V. A. (2024). Consumers’ Digital Wallet Adoption: Integration of Technology Task Fit and UTAUT. International Journal of Asian Business and Information Management (IJABIM), 15(1), 1-23.
- Bhattacharya, S., & Singla, B. (2024). Metaverse Banking 2.0: Future Trends and Challenges in Metaverse Banking Strategies. Exploring the Use of Metaverse in Business and Education (pp. 166-192).
- Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford publications.
- Buhalis, D., Lin, M. S., & Leung, D. (2022). Metaverse as a driver for customer experience and value co-creation: implications for hospitality and tourism management and marketing. International Journal of Contemporary Hospitality Management, 35(2), 701-716.
- Byrne, B.M. (2013). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Routledge.
- Cantú, C., Franco, C., & Frost, J. (2024). The Economic Implications of Services in the Metaverse. In Chen, H. Y., Jenweeranon, P., & Alam, N. (Eds.), Global Perspectives in the Metaverse: Law, Economics, and Finance (pp. 83-118). Cham: Springer Nature Switzerland.
- Chandra, S., Srivastava, S. C., & Theng, Y. L. (2010). Evaluating the role of trust in consumer adoption of mobile payment systems: An empirical analysis. Communications of the Association for Information Systems, 27(1), 29.
- Chang, Y., Chien, C., & Shen, L. F. (2021). Telecommuting during the coronavirus pandemic: Future time orientation as a mediator between proactive coping and perceived work productivity in two cultural samples. Personality and Individual Differences, 171, 110508.
- Chinie, C., Oancea, M., & Todea, S. (2022). The adoption of the metaverse concepts in Romania. Management & Marketing, 17(3), 328-340.
- Cho, Y. (2023). Adoption of Metaverse Platform for Experiential Marketing & Customer Relationship Management. Journal of Digital Contents Society, 24(7), 1453-1464.
- Cohen, L., Manion, L., & Morrison, K. (2017). Research methods in education. Routledge.
- Duan, H., Li, J., Fan, S., Lin, Z., Wu, X., & Cai, W. (2021, October). Metaverse for social good: A university campus prototype. In Proceedings of the 29th ACM International Conference on Multimedia (pp. 153-161).
- Febriandika, N. R., Hakimi, F., & Masrizal. (2024). Determinants of consumer adoption of Islamic mobile banking services in Indonesia. Banks and Bank Systems, 18(4), 30-43.
- Gan, Q., & Lau, R. Y. K. (2024). Trust in a ‘trust-free’ system: Blockchain acceptance in the banking and finance sector. Technological Forecasting and Social Change, 199, 123050.
- George, A. (2018). Perceptions of Internet banking users – A structural equation modelling (SEM) approach. IIMB Management Review, 30(4), 357-368.
- Goodhue, D. L., & Thompson, R. L. (1995). Task-Technology Fit and Individual Performance. MIS Quarterly, 19(2), 213-236.
- Gupta, R., Rathore, B., Biswas, B., Jaiswal, M., & Singh, R. K. (2024). Are we ready for metaverse adoption in the service industry? Theoretically exploring the barriers to successful adoption. Journal of Retailing and Consumer Services, 79, 103882.
- Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.
- Hasani, T., Rezania, D., & Mohammadi, M. (2024). Towards a framework for successful metaverse adoption in Small and Medium-sized Enterprises: An exploratory study. International Journal of Engineering Business Management, 16, 1-34.
- Hermida, R. (2015). The problem of allowing correlated errors in structural equation modeling: concerns and considerations. Computational Methods in Social Sciences, 3(1), 5-17.
- Hidayat, A., & Kassim, S. (2023). Prioritization of the Digital Banking Services in Islamic Banking. In Hamdan, A., Harraf, A., Buallay, A., Arora, P., Alsabatin, H. (Eds.), From Industry 4.0 to Industry 5.0: Mapping the Transitions (pp. 969-985). Cham: Springer Nature Switzerland.
- Jangir, K., Sharma, V., Taneja, S., & Rupeika-Apoga, R. (2022). The moderating effect of perceived risk on users’ continuance intention for FinTech services. Journal of Risk and Financial Management, 16(1), 21.
- Khaliq, L. N., & Manda, V. K. (2024). Customer Experience in the Web 3.0 Era: The Meeting of Blockchain and the Metaverse. In The Rise of Blockchain Applications in Customer Experience (pp. 258-274). IGI Global.
- Kilani, A. A. H. Z., Kakeesh, D. F., Al-Weshah, G. A., & Al-Debei, M. M. (2023). Consumer post-adoption of e-wallet: An extended UTAUT2 perspective with trust. Journal of Open Innovation: Technology, Market, and Complexity, 9(3), 100-113.
- Kim, M., & Yoo, H. Y. (2024). Identification of Key Service Features for Evaluating the Quality of Metaverse Services: A Text Mining Approach. IEEE Access.
- Kim, R., & Song, H. D. (2022). Examining the influence of teaching presence and task-technology fit on continuance intention to use MOOCs. The Asia-Pacific Education Researcher, 31(4), 395-408.
- Kumar, A., & Shankar, A. (2024). Will metaverse revolutionize retail banking? Understanding user acceptance towards metaverse banking. International Journal of Retail & Distribution Management, 52(6), 629-646.
- Kunhibava, S., Muneeza, A., Mustapha, Z., & Khalid, M. (2023, January). Understanding Blockchain technology in Islamic social finance and its opportunities in metaverse. In 2023 20th Learning and Technology Conference (L&T) (pp. 37-41). IEEE.
- Liébana-Cabanillas, F., Molinillo, S., & Japutra, A. (2021). Exploring the determinants of intention to use P2P mobile payment in Spain. Information Systems Management, 38(2), 165-180.
- Mohamed, A., & Faisal, R. (2024). Exploring metaverse-enabled innovation in banking: Leveraging NFTS, blockchain, and smart contracts for transformative business opportunities. International Journal of Data and Network Science, 8(1), 35-44.
- Morgan, D. L. (1996). Focus groups. Annual Review of Sociology, 22(1), 129-152.
- Mou, J., Shin, D.-H., & Cohen, J. (2017). Understanding trust and perceived usefulness in the consumer acceptance of an e-service: A longitudinal investigation. Behaviour & Information Technology, 36(2), 125-139.
- Nagadeepa, C., Pushpa, A., & Mukthar, K. J. (2024). A mediation model of users’ continuous intention towards banker’s chatbot-a technology acceptance model. International Journal of Electronic Banking, 4(2), 138-153.
- Nagy, S., Molnár, L., & Papp, A. (2024). Customer Adoption of Neobank Services from a Technology Acceptance Perspective–Evidence from Hungary. Decision Making: Applications in Management and Engineering, 7(1), 187-208.
- Nguyen, L. T., Duc, D. T. V., Dang, T. Q., & Nguyen, D. P. (2023). Metaverse banking service: Are we ready to adopt? a deep learning-based dual-stage sem-ann analysis. Human Behavior and Emerging Technologies, 2023(1).
- Özkaynar, K. (2022). Marketing strategies of banks in the period of Metaverse, Block-chain, and Cryptocurrency in the context of consumer behavior theories. International Journal of Insurance and Finance, 2(1), 1-12.
- Raza, I., & Awang, Z. (2021). Knowledge-sharing practices in higher educational institutes of Islamabad, Pakistan: an empirical study based on theory of planned behavior. Journal of Applied Research in Higher Education, 13(2), 466-484.
- Remolina, N. (2024). DeFi and the Metaverse: Legal and Regulatory Challenges of Decentralization of Financial Services. In Chen, H. Y., Jenweeranon, P., Alam, N. (Eds.), Global Perspectives in the Metaverse: Law, Economics, and Finance (pp. 223-251). Cham: Springer Nature Switzerland.
- Ren, X., Du, H., Qiu, C., Luo, T., Liu, Z., Wang, X., & Niyato, D. (2024). Dual-Level Resource Provisioning and Heterogeneous Auction for Mobile Metaverse. IEEE Transactions on Mobile Computing, 23(11), 10329-10343.
- Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management, 31(12), 1617-1643.
- Rumanto, A. (2024). Islamic Digital Bank Adoption in Developing Countries: A Case Study on Millennials in Indonesia. Nisbah: Jurnal Perbankan Syariah, 10(1), 20-32.
- Sahoo, D., & Ray, S. (2023). Metaverse in Banking: An Initiative for Banking Transformation from Emerging Country Prospective. Academy of Marketing Studies Journal, 27(S4).
- ShabbiraHusain, R. V., Annamalai, B., & Chandrasekaran, S. (2024). Consumer behavior in Islamic banking: a systematic literature review and agenda for future research. Journal of Islamic Marketing, 15(5), 1326-1349.
- Shaikh, A. A., Glavee-Geo, R., Karjaluoto, H., & Hinson, R. E. (2023). Mobile money as a driver of digital financial inclusion. Technological Forecasting and Social Change, 186, 122158.
- Sofyani, H., & Darma, E. S. (2024). Effect of architecture and efficiency of mobile banking application on the intention to continue using Islamic bank: does data security matter? Journal of Islamic Marketing, 15(6), 1479-1497.
- Talwar, S., Dhir, A., Kaur, P., Zafar, N., & Alrasheedy, M. (2019). Why do people share fake news? Associations between the dark side of social media use and fake news sharing behavior. Journal of Retailing and Consumer Services, 51, 72-82.
- Tan, G. W. H., Aw, E. C. X., Cham, T. H., Ooi, K. B., Dwivedi, Y. K., Alalwan, A. A., Balakrishnan, J., Chan, H. K., Hew, J.-J., Hughes, L., Jain, V., Lee, V. H., Lin, B., Rana, N. P., & Tan, T. M. (2023). Metaverse in marketing and logistics: the state of the art and the path forward. Asia Pacific Journal of Marketing and Logistics, 35(12), 2932-2946.
- Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
- Vyas, V., & Jain, P. (2021). Role of digital economy and technology adoption for financial inclusion in India. Indian Growth and Development Review, 14(3), 302-324.
- Wang, H., Ning, H., Lin, Y., Wang, W., Dhelim, S., Farha, F., Ding, J., & Daneshmand, M. (2021). A survey on metaverse: The state-of-the-art, technologies, applications, and challenges. IEEE Internet of Things Journal, 10(16), 14671-14688.
- Wang, Z., Guan, Z., Hou, F., Li, B., & Zhou, W. (2019). What determines customers’ continuance intention of FinTech? Evidence from YuEbao. Industrial Management & Data Systems, 119(8), 1625-1637.
- Weinberger, M. (2022). What is metaverse? A definition based on qualitative meta-synthesis. Future Internet, 14(11), 310.
- Wijayanti, P., Mohamed, I. S., & Daud, D. (2024). Computerized accounting information systems: An application of task technology fit model for microfinance. International Journal of Information Management Data Insights, 4(1), 100224.
- Yaseen, S. G., El Qirem, I. A., & Dajani, D. (2022). Islamic mobile banking smart services adoption and use in Jordan. ISRA International Journal of Islamic Finance, 14(3), 349-362.
- Zarifis, A., & Cheng, X. (2022). A model of trust in Fintech and trust in Insurtech: How Artificial Intelligence and the context influence it. Journal of Behavioral and Experimental Finance, 36, 100739.
-
-
Conceptualization
Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
-
Data curation
Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
-
Formal Analysis
Hasan Alhanatleh
-
Funding acquisition
Hasan Alhanatleh
-
Investigation
Hasan Alhanatleh, Amro Alzghoul
-
Methodology
Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
-
Project administration
Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
-
Resources
Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
-
Software
Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
-
Supervision
Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
-
Validation
Hasan Alhanatleh, Amineh Khaddam
-
Visualization
Hasan Alhanatleh, Amineh Khaddam
-
Writing – original draft
Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
-
Writing – review & editing
Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
-
Conceptualization
-
Adoption of Mobile Banking and Perceived Risk in GCC
Banks and Bank Systems Volume 13, 2018 Issue #1 pp. 72-79 Views: 2486 Downloads: 580 TO CITE АНОТАЦІЯThe study deals with the adoption of mobile banking services by respondents in UAE and the perception of risk factors by them. A model was developed on the Customer Adoption Process of mobile banking. The model is validated based on the data collected using the questionnaire from a sample of 90 respondents in UAE. Factor analysis is used to evaluate and analyze the responses. Belief in technology and the value it creates are the major driving force for respondents to adopt mobile banking. Respondents perceive that mobile banking helps in proper financial planning due to continuous monitoring the transactions and time saving. Lack of privacy in the mobile banking transactions and not all banks offering mobile banking services in UAE are the major challenges perceived by the respondents for non-adoption of mobile banking. Respondents identify time risk, financial risk and performance risk as the most predominant risk factors compared to other risks in the adoption process.
-
The impact of political instability, macroeconomic and bank-specific factors on the profitability of Islamic banks: an empirical evidence
Investment Management and Financial Innovations Volume 14, 2017 Issue #4 pp. 30-39 Views: 2332 Downloads: 422 TO CITE АНОТАЦІЯThis study investigates the impact of political instability, macroeconomic and bank-specific factors on the profitability of Islamic banks in the context of Yemen. The study used two common measures of profitability, namely, Return on Assets (ROA) and Return on Equity (ROE) as dependent variables. Seven key independent (internal and external) variables are also used. There are five fully-fledged Islamic banks (IBs) working in Yemen. The study selected only three out of five IBs due to the availability of data for the period ranging from 2010 to 2014. The descriptive and multiple regression analyses were done. The results of the study indicate that operating efficiency and financial risk have negative and significant relationships with ROA and ROE. The findings also show that capital adequacy has a negative and insignificant relationship with ROA and ROE. Furthermore, the study reveals that assets size (LogA), assets management, liquidity and deposits have a significant and positive impact on banks’ profitability. GDP, Inflation rate (IR) and Political instability have positive and significant impact on Yemeni banks’ profitability. Based on the best knowledge of the authors, this study is considered one of the first and pioneering studies that determine the factors affecting the profitability of Islamic banks of Yemen. Therefore, the study gives good insights for the policy makers, regulators and interested parties for enhancing the profitability of Islamic banks in Yemen.
-
Digital payment system innovations: A marketing perspective on intention and actual use in the retail sector
Singha Chaveesuk , Bilal Khalid , Wornchanok Chaiyasoonthorn doi: http://dx.doi.org/10.21511/im.17(3).2021.09Innovative Marketing Volume 17, 2021 Issue #3 pp. 109-123 Views: 2171 Downloads: 1543 TO CITE АНОТАЦІЯThis study empirically investigated the marketing perspectives of behavioral intention and the actual use of digital payment solutions as electronic innovation for retail purchases in Thailand. This is important as leveraging digital innovation can be applied to minimize physical contact between retailers and customers, especially in the COVID-19 era. The UTAUT model was used and extended to include attitude, social distancing, and perceived risk variables. The study was conducted using primary data collected from 467 Thai respondents who used digital payment systems as a means of payment in retail purchases. The study data were collected employing a structured questionnaire. Techniques used in data analysis include Confirmatory Factor Analysis and Structural Equation Modeling. The results from the data analysis highlighted that behavioral intention to use digital payment innovation in Thailand was influenced by Perceived Risk (PR), Facilitating Condition (FC), Performance Expectancy (PE), and Attitudes (AT) of people. The study also revealed that exploring the marketing perspectives, Behavioral Intention (BI) significantly influenced the Actual Use (AU) of digital payment systems. The implication is that stakeholders in retail and financial sectors, such as banks and other digital payment providers, should consider aspects of people’s attitudes and perceived risk as they influence the use and adoption of innovative digital payment solutions. Thus, it is, appropriate to propose policies and regulations that promote the effective use of digital payment systems in the Thai retail sector.
Acknowledgment
This work is supported by King Mongkut’s Institute of Technology Ladkrabang.