Abstract
The Metaverse has changed the landscape of the business world to be more exciting. Metaverse technology has created a virtual reality that is similar to reality. Such technology aims to address many of the problems represented in checking virtual products, users’ interaction with each other, and so on. However, the engagement and usage behavior of Metaverse suffers from hesitation by many users. This study aims to explore the influence of technology acceptance factors on Metaverse user behavior by investigating the mediation of self-efficacy. Accordingly, the current study targeted a sample of virtual network users, whose number reached 384 respondents. Structural equation modeling was used, and the results revealed that technology acceptance elements affect Metaverse user behavior. In addition, self-efficacy has fully mediated the relationship between the elements of the skill receipt model and the use of the Metaverse.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Abbas, S., Al-Abrrow, H., Abdullah, H.O., Alnoor, A., Khattak, Z.Z., Khaw, K.W.: Encountering Covid-19 and perceived stress and the role of a health climate among medical workers. Current Psychol. 1-14 (2021)
Abbas, S., et al.: Antecedents of trustworthiness of social commerce platforms: a case of rural communities using multi group SEM & MCDM methods. Electron. Commer. Res. Appl. 62, 101322 (2023)
Abdullah, H.O., Atshan, N., Al-Abrrow, H., Alnoor, A., Valeri, M., Erkol Bayram, G.: Leadership styles and sustainable organizational energy in family business: modeling non-compensatory and nonlinear relationships. J. Fam. Bus. Manag. 13, 1104–1131 (2022)
Albahri, O.S., et al.: Novel dynamic fuzzy decision-making framework for COVID-19 vaccine dose recipients. J. Adv. Res. 37, 147–168 (2022)
Al-Emran, M., Al-Maroof, R., Al-Sharafi, M.A., Arpaci, I.: What impacts learning with wearables? An integrated theoretical model. Interact. Learn. Environ. 30(10), 1897–1917 (2022)
AL-Fatlawey, M.H., Brias, A.K., Atiyah, A.G.: The role of Strategic Behavior in achievement the Organizational Excellence “Analytical research of the manager’s views of Ur State Company at Thi-Qar Governorate”. J. Adm. Econ. 10(37), 48–68 (2021)
Alhwaiti, M.: Acceptance of artificial intelligence application in the post-covid era and its impact on faculty members’ occupational well-being and teaching self efficacy: a path analysis using the UTAUT 2 model. Appl. Artif. Intell. 37(1), 2175110 (2023)
Al-Khaldi, M.A., Wallace, R.O.: The influence of attitudes on personal computer utilization among knowledge workers: the case of Saudi Arabia. Inform. Manag. 36(4), 185–204 (1999)
Alnoor, A., et al.: How positive and negative electronic word of mouth (eWOM) affects customers’ intention to use social commerce? A dual-stage multi group-SEM and ANN analysis. Int. J. Hum. Comput. Interact. 1–30. (2022). https://doi.org/10.1080/10447318.2022.2125610
Alsalem, M.A., et al.: Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients. J. Infect. Public Health 14(10), 1513–1559 (2021)
Appannan, J.S., Mohd Said, R., Ong, T.S., Senik, R.: Promoting sustainable development through strategies, environmental management accounting and environmental performance. Bus. Strategy Environ. March, 1–17 (2022). https://doi.org/10.1002/bse.3227
Arpaci, I., Bahari, M.: Investigating the role of psychological needs in predicting the educational sustainability of metaverse using a deep learning-based hybrid SEM-ANN technique. Interact. Learn. Environ. 1–13 (2023). https://doi.org/10.1080/10494820.2022.2164313
Arpaci, I., Karatas, K., Kusci, I., Al-Emran, M.: Understanding the social sustainability of the metaverse by integrating UTAUT2 and big five personality traits: a hybrid SEM-ANN approach. Technol. Soc. 71, 102120 (2022)
Atiyah, A.G.: The effect of the dimensions of strategic change on organizational performance level. PalArch’s J. Archaeol. Egypt/Egyptology 17(8), 1269–1282 (2020)
Carvajal-Trujillo, E., Molinillo, S., Liébana-Cabanillas, F.: Determinants and risks of intentions to use mobile applications in museums: An application of fsQCA. Curr. Issue Tour. 24(9), 1284–1303 (2021)
Chin, W.W.: Issues and opinion on structural equation modeling. MIS Quarterly: Manag. Inform. Syst. 22(1), vii–xvi. JSTOR (1998)
Cobb, A.T.: A social psychological approach to coalition membership: An expectancy model of individual choice. Group Organ. Stud. 7(3), 295–319 (1982)
Cohen, J.: Statistical power Analysis for the Behavioral Sciences, 2nd edn. (1988). https://doi.org/10.4324/9780203771587
Farley, H.: Promoting self-efficacy in patients with chronic disease beyond traditional education: a literature review. Nurs. Open 7(1), 30–41 (2020)
Farooq, M.S., et al.: Acceptance and use of lecture capture system (LCS) in executive business studies: extending UTAUT2. Interact. Technol. Smart Educ. 14(4), 329–348 (2017)
Faul, F., Erdfelder, E., Lang, A.G., Buchner, A.: G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 39(2), 175–191 (2007). https://doi.org/10.3758/BF03193146
Fuller, C.M., Simmering, M.J., Atinc, G., Atinc, Y., Babin, B.J.: Common methods variance detection in business research. J. Bus. Res. 69(8), 3192–3198 (2016). https://doi.org/10.1016/j.jbusres.2015.12.008
Gai, T., Wu, J., Cao, M., Ji, F., Sun, Q., Zhou, M.: Trust chain driven bidirectional feedback mechanism in social network group decision making and its application in metaverse virtual community. Expert Syst. Appl. 228, 120369 (2023)
Gansser, O.A., Reich, C.S.: A new acceptance model for artificial intelligence with extensions to UTAUT2: an empirical study in three segments of application. Technol. Soc. 65, 101535 (2021)
Gecas, V.: The social psychology of self-efficacy. Ann. Rev. Sociol. 15(1), 291–316 (1989)
Guazzini, A., Serritella, E., La Gamma, M., Duradoni, M.: Italian version of the internet self-efficacy scale: Internal and external validation. Hum. Behav. Emerg. Technol. 2022, 9347172 (2022)
Hadi, A.A., Alnoor, A., Abdullah, H.O.: Socio-technical approach, decision-making environment, and sustainable performance: Role of ERP systems. Interdiscip. J. Inf. Knowl. Manag. 13, 397–415 (2018)
Hair, F.J., Hult, G.T., Ringle, C., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), Sage (2017)
Hair, J., Black, W., Babin, B., Anderson, R.: Multivariate Data Analysis: A Glob-al Perspective, 7th edn. (2010)
Hsu, S.H.Y., Tsou, H.T., Chen, J.S.: “Yes, we do. Why not use augmented reality?” customer responses to experiential presentations of AR-based applications. J. Retail. Consum. Serv. 62, 102649 (2021)
Jafar, R.M.S., Ahmad, W., Sun, Y.: Unfolding the impacts of metaverse aspects on telepresence, product knowledge, and purchase intentions in the metaverse stores. Technol. Soc. 74, 102265 (2023)
Kline, R.B.: Principles and Practice of Structural Equation Modeling. Guilford Publications (2015)
Kral, P., Janoskova, K., Potcovaru, A.M.: Digital consumer engagement on blockchain-based metaverse platforms: extended reality technologies, spatial analytics, and immersive multisensory virtual spaces. Linguist. Philos. Inv. 21, 252–267 (2022)
Krishnan, E., et al.: Interval type 2 trapezoidal-fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e-tourism applications. Int. J. In-tell. Syst. 36(9), 4723–4774 (2021)
Lee, U.K., Kim, H.: UTAUT in metaverse: an “Ifland” case. J. Theor. Appl. Electron. Commer. Res. 17(2), 613–635 (2022)
Lehmann, A.I., Brauchli, R., Bauer, G.F.: Goal pursuit in organizational health interventions: the role of team climate, outcome expectancy, and implementation intentions. Front. Psychol. 10, 154 (2019)
Macedo, I.M.: Predicting the acceptance and use of information and communication technology by older adults: An empirical examination of the revised UTAUT2. Comput. Hum. Behav. 75, 935–948 (2017)
Manhal, M., Al-khalidi, A., Hamad, Z.: Strategic network: managerial myopia point of view. Manag. Sci. Lett. 13(3), 211–218 (2023)
Maxwell, A.E., Harman, H.H.: Modern Factor Analysis. J. Roy. Stat. Soc. A (General) 131 (1968)
Mustafa, S., Zhang, W., Anwar, S., Jamil, K., Rana, S.: An integrated model of UTAUT2 to understand consumers’ 5G technology acceptance using SEM-ANN approach. Sci. Rep. 12(1), 20056 (2022)
Nguyen, H.Q., Le, O.T.T.: Factors affecting the intention to apply management accounting in enterprises in Vietnam. J. Asian Finance, Econ. Bus. (JAFEB) 7(6), 95–107 (2020)
Oh, H.J., Kim, J., Chang, J.J., Park, N., Lee, S.: Social benefits of living in the metaverse: the relationships among social presence, supportive interaction, social self-efficacy, and feelings of loneliness. Comput. Hum. Behav. 139, 107498 (2023)
Oh, J.C., Yoon, S.J.: Predicting the use of online information services based on a modified UTAUT model. Behav. Inform. Technol. 33(7), 716–729 (2014)
Rafiola, R., Setyosari, P., Radjah, C., Ramli, M.: The effect of learning motivation, self-efficacy, and blended learning on students’ achievement in the industrial revolution 4.0. Int. J. Emerg. Technol. Learn. (iJET) 15(8), 71–82 (2020)
Roy, R., Babakerkhell, M.D., Mukherjee, S., Pal, D., Funilkul, S.: Development of a framework for metaverse in education: a systematic literature review approach. IEEE Access 11, 57717–57734 (2023)
Ringle, C.M., da Silva, D., Bido, D.d.S.: Structural equation modeling with the smartpls. ReMark - Revista Brasileira De Marketing 13(2), 56–73 (2014). https://doi.org/10.5585/remark.v13i2.2717
Salimon, M.G., Kareem, O., Mokhtar, S.S.M., Aliyu, O.A., Bamgbade, J.A., Adeleke, A.Q.: Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach. J. Sci. Technol. Policy Manag. 14(1), 98–126 (2023)
Teng, Z., Cai, Y., Gao, Y., Zhang, X., Li, X.: Factors affecting learners’ adoption of an educational metaverse platform: an empirical study based on an extended UTAUT model. Mobile Inform. Syst. 2022, 1–15 (2022)
Trautner, M., Schwinger, M.: Integrating the concepts of self-efficacy and motivation regulation: how do self-efficacy beliefs for motivation regulation influence self-regulatory success? Learn. Individ. Differ. 80, 101890 (2020)
Valkenburg, P.M., Peter, J.: Adolescents’ identity experiments on the internet: consequences for social competence and self-concept unity. Commun. Res. 35(2), 208–231 (2008)
Venkatesh, V., Bala, H., Sambamurthy, V.: Implementation of an information and communication technology in a developing country: a multimethod longitudinal study in a bank in India. Inf. Syst. Res. 27(3), 558–579 (2016)
Venkatesh, V., Thong, J.Y., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 36(1), 157–178 (2012)
Yang, F., Ren, L., Gu, C.: A study of college students’ intention to use metaverse technology for basketball learning based on UTAUT2. Heliyon 8(9), e10562 (2022)
Zaidan, A.S., Chew, X., Khaw, K.W., Ferasso, M.: Electronic word of mouth and social commerce. In: Alnoor, A., Wah, K.K., Hassan, A. (eds.) Artificial neural networks and structural equation modeling: marketing and consumer research applications. Singapore: Springer Nature Singapore, pp. 79–95 (2022). https://doi.org/10.1007/978-981-19-6509-8_5
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Zaidan, A.S., Alshammary, K.M., Khaw, K.W., Yousif, M., Chew, X. (2023). Investigating Behavior of Using Metaverse by Integrating UTAUT2 and Self-efficacy. In: Al-Emran, M., Ali, J.H., Valeri, M., Alnoor, A., Hussien, Z.A. (eds) Beyond Reality: Navigating the Power of Metaverse and Its Applications. IMDC-IST 2024. Lecture Notes in Networks and Systems, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-031-51716-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-031-51716-7_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-51715-0
Online ISBN: 978-3-031-51716-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)