Teachers’ acceptance of technology-based simulation games as teaching pedagogy in management education: an extended technology acceptance model
DOI:
https://doi.org/10.24310/ijtei.102.2024.18122Keywords:
technology, simulation games, TAM, management education, teaching pedagogyAbstract
The present study investigates the factors underlying the adoption of technology-based simulation games (SGs) by teachers in the formal management education. The proposed framework is an integration of the widely used Technology Acceptance Model (TAM); two institutional factors namely, top management support and training; and one individual factor, i.e. self-efficacy. The proposed model was empirically tested using a sample of 311 teachers selected using convenience sampling from the Indian management institutions. The primary data was gathered through surveys of teachers from business and management schools in India. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the proposed model. This study has found that the three external variables, i.e. top management support, training opportunities and self-efficacy, have direct influence on the two constructs of TAM (i.e. perceived usefulness and perceived ease of use), and have indirect influence on adoption intention of simulation games. The findings of this study have relevance to the SG developers as well as the top authorities / management of business schools. The findings suggest that SG developers must concentrate on creating the solutions that fit well with the teachers’ current pedagogies. Moreover, the management of business schools provide adequate training and support to their teachers to promote the adoption of SGs. The study contributes to the literature by putting forward the perceptions of management teachers within Indian contexts. By proposing an extended TAM model, the study has contributed to the knowledge of educational technology adoption in the context of technology-based simulations for teaching.Downloads
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Ahmed, A., & Sutton, M. J. (2017). Gamification, serious games, simulations, and immersive learning environments in knowledge management initiatives. World Journal of Science, Technology and Sustainable Development, 14(2/3), 78-83. https://doi.org/10.1108/WJSTSD-02-2017-0005
Ajibade, P. (2018). Technology acceptance model limitations and criticisms: Exploring the practical applications and use in technology-related studies, mixed-method, and qualitative researches. Library Philosophy and Practice, 9, 1-13.
Al-Azawi, R., Al-Obaidy, M., Ayesh, A., & Rosenburg, D. (2016, November). The impact of using educational gamification in mobile computing course: A case study. In Communication, Management and Information Technology: International Conference on Communciation, Management and Information Technology (pp. 235-241). CRC Press.
Ali, I., & Warraich, N. F. (2023). Impact of personal innovativeness, perceived smartphone ease of use and mobile self-efficacy on smartphone-based personal information management practices. The Electronic Library, 41(4), 419-437. https://doi.org/10.1108/EL-12-2022-0262
Beuk, F. (2016). Sales simulation games: Student and instructor perceptions. Journal of Marketing Education, 38(3), 170-182. https://doi.org/10.1177/0273475315604686
Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & education, 59(3), 1054-1064. https://doi.org/10.1016/j.compedu.2012.04.015
Cohen, J. (1992). Statistical power analysis. Current directions in psychological science, 1(3), 98-101. https://doi.org/10.1111/1467-8721.ep10768783
Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Academic press.
Dale, V., McEwan, M., & Bohan, J. (2021). Early adopters versus the majority: Characteristics and implications for academic development and institutional change. Journal of Perspectives in Applied Academic Practice, 9(2), 54-67. https://doi.org/10.14297/jpaap.v9i2.483
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://doi.org/10.2307/249008
De Smale, S., Overmans, T., Jeuring, J., & van de Grint, L. (2016). The effect of simulations and games on learning objectives in tertiary education: A systematic review. In Games and Learning Alliance: 4th International Conference, GALA 2015 (pp. 506-516). Springer International Publishing. https://doi.org/10.1007/978-3-319-40216-1_55
Dede, C. (2018). The Potential of Digital Game-Based Learning for Improving Education in the Global South. Foundation for Information Technology Education and Development.
Dichev, C., & Dicheva, D. (2017). Gamifying education: what is known, what is believed and what remains uncertain: a critical review. International journal of educational technology in higher education, 14(1), 1-36. https://doi.org/10.1186/s41239-017-0042-5
Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS quarterly, 39(2), 297-316. http://dx.doi.org/10.25300/MISQ/2015/39.2.02
Dimitriadou, A., Djafarova, N., Turetken, O., Verkuyl, M., & Ferworn, A. (2021). Challenges in serious game design and development: Educators’ experiences. Simulation & Gaming, 52(2), 132-152. https://doi.org/10.1177/1046878120944197
Eraslan Yalcin, M., & Kutlu, B. (2019). Examination of students' acceptance of and intention to use learning management systems using extended TAM. British Journal of Educational Technology, 50(5), 2414-2432. https://doi.org/10.1111/bjet.12798
Fagan, M., Kilmon, C., & Pandey, V. (2012). Exploring the adoption of a virtual reality simulation: The role of perceived ease of use, perceived usefulness and personal innovativeness. Campus-Wide Information Systems, 29(2), 117-127. https://doi.org/10.1108/10650741211212368
Faria, A. J., & Wellington, W. J. (2004). A survey of simulation game users, former-users, and never-users. Simulation & Gaming, 35(2), 178–207. https://doi.org/10.1177/1046878104263543
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.2307/3151312
Galiç, S., & Yıldız, B. (2023). The Effects of Activities Enriched with Game Elements in Mathematics Lessons. Innoeduca. International Journal of Technology and Educational Innovation, 9(1), 67–80. https://doi.org/10.24310/innoeduca.2023.v9i1.15396
Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of enterprise information management, 28(1), 107-130. https://doi.org/10.1108/JEIM-08-2013-0065
Geisser, S. (1975). The predictive sample reuse method with applications. Journal of the American statistical Association, 70(350), 320-328. https://doi.org/10.2307/2285815
Guillén-Gámez, F. D., Gómez-García, M., & Ruíz-Palmero, J. (2024). Competencia digital en labores de Investigación: predictores que influyen en función del tipo de universidad y sexo del profesorado. Pixel-Bit: Revista de medios y educación, (69), 7-34. https://doi.org/10.12795/pixelbit.99992
Guillén-Gámez, F. D., Mayorga-Fernández, M., Bravo-Agapito, J., & Escribano-Ortiz, D. (2021). Analysis of teachers’ pedagogical digital competence: Identification of factors predicting their acquisition. Technology, Knowledge and Learning, 26(3), 481-498. https://doi.org/10.1007/s10758-019-09432-7
Gupta, K. P., & Bhaskar, P. (2023). Teachers' intention to adopt virtual reality technology in management education. International Journal of Learning and Change, 15(1), 28-50. https://doi.org/10.1504/IJLC.2023.127719
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. https://doi.org/10.1108/EBR-11-2018-0203
Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International marketing review, 33(3), 405-431. https://doi.org/10.1108/IMR-09-2014-0304
Hinck, W., & Ahmed, Z. U. (2015). The effect of anticipatory emotions on students’ performance in marketing simulations. Journal of Research in Marketing and Entrepreneurship, 17(1), 5-22. https://doi.org/10.1108/JRME-12-2014-0034
Hsu, H. Y., Liu, F. H., Tsou, H. T., & Chen, L. J. (2019). Openness of technology adoption, top management support and service innovation: a social innovation perspective. Journal of Business & Industrial Marketing, 34(3), 575-590. https://doi.org/10.1108/JBIM-03-2017-0068
Iqbal, S., & Bhatti, Z. A. (2017). What drives m-learning? An empirical investigation of university student perceptions in Pakistan. Higher Education Research & Development, 36(4), 730-746. https://doi.org/10.1080/07294360.2016.1236782
Jääskä, E., & Aaltonen, K. (2022). Teachers’ experiences of using game-based learning methods in project management higher education. Project Leadership and Society, 3, 100041. https://doi.org/10.1016/j.plas.2022.100041
Jean Justice, L., & Ritzhaupt, A. D. (2015). Identifying the barriers to games and simulations in education: Creating a valid and reliable survey. Journal of Educational Technology Systems, 44(1), 86-125. https://doi.org/10.1177/0047239515588161
Jong, M. S. Y., & Shang, J. (2015). Impeding phenomena emerging from students' constructivist online game-based learning process: Implications for the importance of teacher facilitation. Journal of Educational Technology & Society, 18(2), 262-283.
Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. Journal of Educational Technology & Society, 21(3), 48-59.
Kesmodel, U. S. (2018). Cross‐sectional studies–what are they good for?. Acta obstetricia et gynecologica Scandinavica, 97(4), 388-393. https://doi.org/10.1111/aogs.13331
Kim, J. B., & Watson, E. (2017). Exploring practical potentials of business simulation games. Proceedings of the 50th Hawaii International Conference on System Sciences.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration (ijec), 11(4), 1-10.
Koutska, I. (2023). Educational technology ‘introduced’ by the COVID-19 pandemic. Innoeduca. International Journal of Technology and Educational Innovation, 9(2), 115–133. https://doi.org/10.24310/innoeduca.2023.v9i2.15481
Krath, J., Schürmann, L., & Von Korflesch, H. F. (2021). Revealing the theoretical basis of gamification: A systematic review and analysis of theory in research on gamification, serious games and game-based learning. Computers in Human Behavior, 125, 106963. https://doi.org/10.1016/j.chb.2021.106963
Lester, D., Skulmoski, G. J., Fisher, D. P., Mehrotra, V., Lim, I., Lang, A., & Keogh, J. W. (2023). Drivers and barriers to the utilisation of gamification and game‐based learning in universities: A systematic review of educators' perspectives. British Journal of Educational Technology, 54, 1748-1770. https://doi.org/10.1111/bjet.13311
Liu, Y., Zhao, L., & Su, Y. S. (2022). Exploring Factors of Preschool Parents’ Behavioral Intention to Use Face Recognition Technology on Campus. Frontiers in Physics, 10, 320. https://doi.org/10.3389/fphy.2022.857751
López, F. R., Arias-Oliva, M., Pelegrín-Borondo, J., & Marín-Vinuesa, L. M. (2021). Serious games in management education: An acceptance analysis. The International Journal of Management Education, 19(3), 100517. https://doi.org/10.1016/j.ijme.2021.100517
Lu, J., Hallinger, P., & Showanasai, P. (2014). Simulation-based learning in management education: A longitudinal quasi-experimental evaluation of instructional effectiveness. Journal of Management Development, 33(3), 218-244. https://doi.org/10.1108/JMD-11-2011-0115
Mailizar, M., Burg, D., & Maulina, S. (2021). Examining university students’ behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model. Education and Information Technologies, 26(6), 7057-7077. https://doi.org/10.1007/s10639-021-10557-5
Malatji, W. R., Eck, R. V., & Zuva, T. (2020). Understanding the usage, modifications, limitations and criticisms of technology acceptance model (TAM). Advances in Science, Technology and Engineering Systems Journal, 5(6), 113-117. http://dx.doi.org/10.25046/aj050612
McGarr, O. (2020). The use of virtual simulations in teacher education to develop pre-service teachers’ behaviour and classroom management skills: implications for reflective practice. Journal of Education for Teaching, 47(2), 274-286. https://doi.org/10.1080/02607476.2020.1733398
Moorthy, K., Chun T'ing, L., Ming, K. S., Ping, C. C., Ping, L. Y., Joe, L. Q., & Jie, W. Y. (2019). Behavioral intention to adopt digital library by the undergraduates. International Information & Library Review, 51(2), 128-14. https://doi.org/10.1080/10572317.2018.1463049
National Institutional Ranking Framework. (2021). National Institute Ranking Framework. https://www.nirfindia.org/Rankings/2021/ManagementRanking.html
Pando-Garcia, J., Periañez-Cañadillas, I., & Charterina, J. (2016). Business simulation games with and without supervision: An analysis based on the TAM model. Journal of Business Research, 69(5), 1731-1736. https://doi.org/10.1016/j.jbusres.2015.10.046
Pasin, F., & Giroux, H. (2011). The impact of a simulation game on operations management education. Computers & Education, 57(1), 1240-1254. https://doi.org/10.1016/j.compedu.2010.12.006
Pongpanich, C., Krabuanrat, T., & Tan, K. H. (2009). Educator insight on simulations and games: A comparative study between business schools in Thailand and the UK. On the Horizon, 17(4), 323-329. https://doi.org/10.1108/10748120910998380
Rafique, H., Ul Islam, Z., & Shamim, A. (2023). Acceptance of e-learning technology by government school teachers: Application of extended technology acceptance model. Interactive Learning Environments, 1-19. https://doi.org/10.1080/10494820.2022.2164783
Rahman, M. M., Lesch, M. F., Horrey, W. J., & Strawderman, L. (2017). Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems. Accident Analysis & Prevention, 108, 361-373. https://doi.org/10.1016/j.aap.2017.09.011
Rajan, C. A., & Baral, R. (2015). Adoption of ERP system: An empirical study of factors influencing the usage of ERP and its impact on end user. IIMB Management Review, 27(2), 105-117. https://doi.org/10.1016/j.iimb.2015.04.008
Roungas, B., Bekius, F., Verbraeck, A., & Meijer, S. (2021). Improving the decision-making qualities of gaming simulations. Journal of Simulation, 15(3), 177-190. https://doi.org/10.1080/17477778.2020.1726218
Sagnier, C., Loup-Escande, E., Lourdeaux, D., Thouvenin, I., & Valléry, G. (2020). User acceptance of virtual reality: an extended technology acceptance model. International Journal of Human–Computer Interaction, 36(11), 993-1007. https://doi.org/10.1080/10447318.2019.1708612
Sánchez-Mena, A., & Martí-Parreño, J. (2017). Drivers and barriers to adopting gamification: Teachers’ perspectives. Electronic Journal of e-Learning, 15(5), pp434-443.
Saroia, A. I., & Gao, S. (2019). Investigating university students’ intention to use mobile learning management systems in Sweden. Innovations in Education and Teaching International, 56(5), 569-580. https://doi.org/10.1080/14703297.2018.1557068
Sarstedt, M., & Cheah, J. H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review. J Market Anal 7, 196-202 (2019). https://doi.org/10.1057/s41270-019-00058-3
Sayginer, C. (2023). Acceptance and use of cloud-based virtual platforms by higher education vocational school students: application of the UTAUT model with a PLS-SEM approach. Innoeduca. International Journal of Technology and Educational Innovation, 9(2), 24-38. https://doi.org/10.24310/innoeduca.2023.v9i2.15647
Sharma, L., & Srivastava, M. (2020). Teachers’ motivation to adopt technology in higher education. Journal of Applied Research in Higher Education, 12(4), 673-692. https://doi.org/10.1108/JARHE-07-2018-0156
Sharma, S., & Saini, J. R. (2022). On the role of teachers’ acceptance, continuance intention and self-efficacy in the use of digital technologies in teaching practices. Journal of Further and Higher Education, 46(6), 721-736. https://doi.org/10.1080/0309877X.2021.1998395
Siala, H., Kutsch, E., & Jagger, S. (2020). Cultural influences moderating learners’ adoption of serious 3D games for managerial learning. Information Technology & People, 33(2), 424-455. https://doi.org/10.1108/ITP-08-2018-0385
Sierra, J. (2020). The potential of simulations for developing multiple learning outcomes: The student perspective. The International Journal of Management Education, 18(1), 100361. https://doi.org/10.1016/j.ijme.2019.100361
Staples, D. S., & Seddon, P. (2004). Testing the technology-to-performance chain model. Journal of Organizational and End User Computing (JOEUC), 16(4), 17-36. https://doi.org/10.4018/joeuc.2004100102
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision sciences, 27(3), 451-481.
Vlachopoulos, D., & Makri, A. (2017). The effect of games and simulations on higher education: a systematic literature review. International Journal of Educational Technology in Higher Education, 14(1), 1-33. https://doi.org/10.1186/s41239-017-0062-1
Voorhees, C. M., Brady, M. K., Calantone, R., & Ramirez, E. (2016). Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies. Journal of the academy of marketing science, 44, 119-134. https://psycnet.apa.org/doi/10.1007/s11747-015-0455-4
Vos, L., & Brennan, R. (2010). Marketing simulation games: student and lecturer perspectives. Marketing Intelligence & Planning, 28(7), 882-897. https://doi.org/10.1108/02634501011086472
Watson, W., & Yang, S. (2016). Games in schools: Teachers’ perceptions of barriers to game-based learning. Journal of Interactive Learning Research, 27(2), 153-170.
Wijaya, T. T., Cao, Y., Bernard, M., Rahmadi, I. F., Lavicza, Z., & Surjono, H. D. (2022a). Factors influencing microgame adoption among secondary school mathematics teachers supported by structural equation modelling-based research. Frontiers in Psychology, 13, 952549. https://doi.org/10.3389/fpsyg.2022.952549
Wijaya, T. T., Cao, Y., Weinhandl, R., Yusron, E., & Lavicza, Z. (2022b). Applying the UTAUT model to understand factors affecting micro-lecture usage by mathematics teachers in China. Mathematics, 10(7), 1008. https://doi.org/10.3390/math10071008
Wu, B., & Chen, X. (2017). Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in human behavior, 67, 221-232. https://doi.org/10.1016/j.chb.2016.10.028
Zhi, R., Wang, Y., & Wang, Y. (2023). The role of emotional intelligence and self-efficacy in EFL teachers’ technology adoption. The Asia-Pacific Education Researcher, 33, 845-856. https://doi.org/10.1007/s40299-023-00782-6
Zulfiqar, S., Al-reshidi, H. A., Al Moteri, M. A., Feroz, H. M. B., Yahya, N., & Al-Rahmi, W. M. (2021). Understanding and predicting students’ entrepreneurial intention through business simulation games: A perspective of COVID-19. Sustainability, 13(4), 1838. https://doi.org/10.3390/su13041838
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