The Influence of Organizational Innovation in the Use of Social Media Technology (SMT) by Students: A Resource-Based Theory Perspective as an Extension of the Technology Acceptance Model
DOI:
https://doi.org/10.55927/fjmr.v4i11.574Keywords:
Student Use of SMT, Organizational Innovation, Technology Acceptance Model (TAM), Resource Based Theory (RBT)Abstract
The social environment certainly influences student behavior, including the behavior of using Social Media Technology (SMT). This study investigates whether organizational innovation, which is an important part of the student's social environment, influences student SMT usage. The Technology Acceptance Model (TAM) and its extension theory, Resource-Based Theory (RBT), are the basis for testing this influence. Based on SMT, the variables that influence SMT usage are (1) perceived ease of use, and (2) perceived usefulness, while based on the SMT perspective, it can be estimated that organizational innovation strengthens the relationship between perceived ease of use and SMT usage and between perceived usefulness and SMT usage. The study sample included 236 students residing throughout Indonesia. The study used SPSS 25 for descriptive statistics and AMOS 26 to test all hypotheses. The results showed that ease of use, usefulness, and organizational innovation influenced students' SMT usage. Organizational innovation also strengthened the relationship between ease of use and SMT usage, and usefulness and SMT usage.To the researcher's understanding, the originality of this study lies in the absence of research on student SMT use based on two theories: TAM and RBT. Furthermore, there has been no research on the organizational innovation variable related to SMT use.
References
Adams, D. A., Nelson, R. R., & Todd, P. A. (1993). Perceived usefulness, ease of use, and using of information technology: a replication. MIS quarterly, 16(2), 227-247.
Agarwal, R., & Prasad, J. (1998a). The conceptual and operational definition of personal innovativeness in the domain of information technology. Information systems research, 9(2), 204-215.
Agarwal, R., & Prasad, J. (1998b). The antecedents and consequents of user perceptions in usage of information technology. Decision support systems, 22(1), 15-29.
Akrimi, Y., & Khemakhem, R. (2012). What Drive Consumers and Suppliers to Spread the Word in Social Media? Journal of Marketing Research & Case Studies, 1-14.
Amin, H. (2007). Internet banking adoption among young intellectuals. Journal of Internet Banking and Commerce, 12(3), 1-13.
Anderson, J. C. & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin, 103(3), 411.29
Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(8), 396-402.
Avlonitis, G. J., & Panagopoulos, N. G. (2005). Antecedents and consequences of CRM technology acceptance in the sales force. Industrial Marketing Management, 34(4), 355-368.
Bagozzi, R. P. (2007). The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift. Journal of the Association for Information Systems, 8 (4), 243-254.
Bagozzi, R. P. (2020). Measurement and Meaning in Information Systems and Organizational Research: Methodological and Philosophical Foundations. MIS Quarterly, 35(2), 261-292.
Bampo, M., Ewing, M. T., Mather, D. R., Stewart, D., & Wallace, M. (2008). The effects of the social structure of digital networks on viral marketing performance. Information Systems Research, 19(3), 273-290.
Barney, J., Wright, M., & Ketchen, D. J. (2001). The resource-based view of the firm: Ten years after 1991. Journal of Management, 27(6), 625-641.
Bauer, H. H., Grether, M., & Leach, M. (2002). Building customer relations over the Internet. Industrial Marketing Management, 31(2), 155-163.
Benbasat, I., & Barki, H. (2020). Quo vadis TAM? Journal of the Association for Information Systems, 8(4), 211-218.
Borders, A. L., Johnston, W. J., & Rigdon, E. E. (2001). Beyond the dyad: electronic commerce and network perspectives in industrial marketing management. Industrial Marketing Management, 30(2), 199-205.
Brennan, R., & Croft, R. (2012). The use of social media in B2B marketing and branding: An exploratory study. Journal of Customer Behaviour, 11(2), 101-115.
Breslauer, B., & Smith, T. (2009). Social media trends around the world! The global web index (GWI). ESOMAR Research, Online Research, Chicago.
Bruhn, M., Schoenmueller, V., & Schäfer, D. B. (2012). Are social media replacing traditional media in terms of brand equity creation? Management Research Review, 35(9), 770-790.
Chang, S. J., Van Witteloostuijn, A., & Eden, L. (2010). From the editors: common method variance in international business research. Journal of International Business Studies, 41(2), 178-184.
Chen, L, Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information and Management, 39(8), 705-719.
Christodoulides, G. (2009). Branding in the post-internet era. Marketing Theory, 9(1), 141-144.
Colliander, J., & Dahlen, M. (2011). Following the fashionable friend: the power of social media-weighing publicity effectiveness of blogs versus online magazines. Journal of Advertising Research, 51(1), 313-320.
Culnan, M. J., Mchugh, P. J., & Zubillaga, J. I. (2010). How Large U.S. Companies Can Use Twitter and Other Social Media to Gain Business Value. MIS Quarterly Executive, 9(4), 243-260.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–39.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132
Denzin, N. K. (1978). The research act: A theoretical introduction to sociological methods. New York: McGraw-Hill.
e-Marketer (2013). B2B Social Media Lead Generation: Best Practices for 2013. Available at: http://www.emarketer.com/Article/How-B2Bs-Working-Social-Leads/1010162 [Accessed: 9 December 2013.
Ellonen, R., Blomqvist, K., & Puumalainen, K. (2008). The role of trust in organisational innovativeness. European Journal of Innovation Management, 11(2), 160-181.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley Publishing Co.
Foux, G. (2006). Consumer-generated media: Get your customers involved. Brand Strategy, 38-39.
Frambach, R. T., & Schillewaert, N. (2002). Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research. Journal of Business Research, 55(2), 163-176.
Grant, R. M. (1996). Toward a Knowledge-Based Theory of the firm. Strategic Management Journal, 17(S2), 109-122.
Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance mode. Journal of Business Research, 62(5), 565-571.
Hall, B., & Khan, B. (2002). Adoption of New Technologies. In: Jones, D. (ed) New Economy Handbook, San Diego, CA: Academic Press Inc.
Hernández-Ortega, B., Jiménez-Martínez, J., & Martín-DeHoyos, M. J. (2008). Differences between potential, new and experienced e-customers: Analysis of e-purchasing behaviour. Internet Research, 18(3), 248-265.
Hoffman, D. L., & Fodor, M. (2010). Can you measure the ROI of your social media marketing? MIT Sloan Management Review, 52(1), 41-49.32
Hoffman, D.L., Novak, T.P. & Schlosser, A.E. (2000). The Evolution of the Digital Divide: How Gaps in Internet Access may Impact Electronic Commerce. Journal of Computer-Mediated Communication, 5(3), doi:10.1111/j.1083-6101.2000.tb00341.
Holden, R. J., & Karsh, B-T. (2010). The Technology Acceptance Model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), pp. 159-172.
Hong, W., Thong, J. Y. L., Wong, W. M., & Tam, K. Y. (2002). Determination of user acceptance of digital libraries: An empirical examination of individual difference and system characteristic. Journal of Management Information System, 18(3), 97-124.
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management Information Systems, 16(2), 91-112.
Järvinen, J., Tollinen, A., Karjaluoto, H., & Jayawardhena, C. (2020). Digital and social media marketing usage in B2B industrial section. Journal of Marketing Management, 22(2), 102-117.
Jones, E., Sundaram, S., & Chin, W. W. (2002). Factors Leading to Sales Force Automation Use: A Longitudinal Analysis. Journal of Personal Selling and Sales Management, 22(3), 145-156.
Kunz, W., Schmitt, B., & A. Meyer, A. (2011). How does perceived firm innovativeness affect the consumer? Journal of Business Research, 64(8), 816-822.
Kim, T. G., Lee, J. H., & Law, R. (2008). An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model. Tourism Management, 29(3), 500-513.
King, N. (1998). Template analysis. Symon, G., Cassell, C. (eds.). Qualitative Methods and Analysis in Organizational Research: A Practical Guide. Thousand Oaks, CA: Sage.33
Koufaris, M. (2002). Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research, 13(2), 205-223.
LaBay, D. G., & Kinnear, T. C. (1981). Exploring the Consumer Decision Process in the Adoption of Solar Energy Systems. Journal of Consumer Research, 8(3), 271-278.
Lau, C. M. (2011). Team and organizational resources, strategic orientations, and firm performance in a transitional economy. Journal of Business Research, 64(12), 1344-1351.
Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29(3), 269-282.
Lee, Y., Kozar, K.A., & Larsen K.R.T. (2003). The Technology Acceptance Model: Past, Present, and the Future. Communications of the AIS, 12, 752-780.
Lee, T.M. & Park, C. (2008). Mobile Technology Usage and B2B Market Performance under Mandatory Adoption. Industrial Marketing Management, 37, 833-840.
Leonidou, L. C., Palihawadana, D., & Theodosiou, M. (2011). National export-promotion programs as drivers of organizational resources and capabilities: effects on strategy, competitive advantage, and performance. Journal of International Marketing, 19(2), 1-29.
Lindell, M. K., & Whitney, D. J. 2001. Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114–121.
Lipsman, A., Mudd, G., Rich, M., & Bruich, S. (2012). The Power of "Like": How Brands Reach (and Influence) Fans through Social-Media Marketing. Journal of Advertising Research, 52(1), 40.
Little, T. D., Bovaird, J. A., & Widaman, K. F. (2006). On the merits of orthogonalizing powered and product terms: Implications for modeling interactions among latent variables. Structural Equation Modeling, 13(4),. 497-519.34
MacKenzie, S. B., & Podsakoff, P. M. (2012). Common method bias in marketing: causes, mechanisms, and procedural remedies. Journal of Retailing, 88(4), 542-555.
Mangold, W., & Faulds, D. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357-365.
McKechnie, S. Winklhofer, H., & Ennew, C. (2006). Applying the technology acceptance model to the online retailing of financial services. International Journal of Retail & Distribution Management, 34(4/5), 388-410.
Michaelidou, N., Siamagka, N. T., & Christodoulides, G. (2021). Usage, barriers and measurement of social media marketing: An exploratory investigation of small and medium B2B brands. Industrial Marketing Management, 40(7), 1153-1159.
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2(3), 192-222.
Nielsen (2012). State of the media: The social media report. Available at: http://www.nielsen.com/us/en/reports/2012/state-of-the-media-the-social-media-report-2012.html [Accessed 11 December 2013]
Nunan, D., & Yenicioglu, B. (2013). Informed, uninformed and participative consent in social media research. International Journal of Market Research, 55(6), 791-808
Park, S.Y. (2009). An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning. Educational Technology & Society, 12(3), 150-162.
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), 101-134.35
Pentina, I., Koh, A. C., & Le, T. T. (2012). Adoption of social networks marketing by SMEs: exploring the role of social influences and experience in technology acceptance. International Journal of Internet Marketing and Advertising, 7(1), 65-82.
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59(9), 999-1007.
Rogers, E. M. (2010). Diffusion of innovations. New York: Simon and Schuster.
Rumelt, R. P. (1984). Towards a strategic theory of the firm. Competitive strategic management, 26, 556-570.
Shih, H-P. (2004). Extended technology acceptance model of Internet utilization behavior. Information & Management, 41(6), 719-729.
Sila, I. (2010). Do organisational and environmental factors moderate the effects of Internet-based interorganisational systems on firm performance? European Journal of Information Systems, 19, 581-600.
Singh, S., & Sonnenburg, S. (2012). Brand Performances in Social Media. Journal of Interactive Marketing, 26(4), 189-197.
Syafruddin, M. & Haryani (2025). The Role of Lecture’s Moral Hazard Behaviour on Utiliztion of Students’s Information and Communication Technology inEducation of Indonesia. East Asian Journal of Multidiciplinary Research (EAJMR), Vol. 4, No. 5, 1915 – 1934.
Venkatesh, V., Davis, F. D., & Morris, M. G. (2007). Dead or alive? The development, trajectory and future of technology adoption research. Journal of the Association for Information Systems, 8(4), 267-286.
Wamba, F., & Carter, L. (2013). Twitter Adoption and Use by SMEs: An Empirical Study. The 46th Hawaii International Conferences on System Sciences (HICSS), Maui, Hawaii, January 7-10, 2013. Available at SSRN: http://ssrn.com/abstract=2137479 [Accessed: 10 May 2014.
Wang, X., Yu, C., & Wei, Y. (2012). Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework. Journal of Interactive Marketing, 26(4), 198-208.
Xiao, T. (2010). A cross-national investigation of an extended technology acceptance model in the online shopping context. International Journal of Retail & Distribution Management, 38(10), 742-759.
Yan, J. (2011). Social media in branding: Fulfilling a need. Journal of Brand Management, 18(9), 688-696.
Published
Issue
Section
License
Copyright (c) 2025 Muchammad Syafruddin

This work is licensed under a Creative Commons Attribution 4.0 International License.






























