Technology Acceptance Model of ERP software in Small Business: A Systematic Literature review
DOI:
https://doi.org/10.29019/enfoqueute.884Keywords:
TAM, Technology Acceptance Model, ERP, Enterprise Resource Planning, SMEs, SLR, Literature Review, PRISMA Model, information technology, ITAbstract
Adopting an ERP system could become a task that does not necessarily lead to success. In this work, we have conducted a systematic review of the literature considering the technology acceptance model (TAM) in an exhaustive search of 11 scientific databases, applying the PRISMA method. A total of 341 articles were obtained, and 53 were selected as eligible. The Iramuteq tool under R was applied to perform text analysis to quantify the results. We conclude that the relevant factors to consider in implementing an ERP become the mitigation of computational anxiety. The literature identifies some strategies, such as adequate end-user formation programs, documentation, technical facilitation conditions, social influence, and organizational motivators.
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Ahmed, M. U., & Hasan, B. (2010). A Path Analysis of the Impact of Application-Specific Perceptions of Computer Self-Efficacy and Anxiety on Technology Acceptance. J. Organ. End User Comput., 22(3), 82-95. https://doi.org/10.4018/joeuc.2010070105
Ajzen, I., & Fishbein, M. (1969). The prediction of behavioural intentions in a choice situation. Journal of Experimental Social Psychology, 5(4), 400-416. https://doi.org/10.1016/0022-1031(69)90033-X
Amoako-Gyampah, K., & Salam, A. F. (2004). An extension of the technology acceptance model in an ERP implementation environment. Information & Management, 41(6), 731-745. https://doi.org/10.1016/j.im.2003.08.010
Bagchi, S., Kanungo, S., & Dasgupta, S. (2003). Modeling use of enterprise resource planning systems: A path analytic study. European Journal of Information Systems, 12(2), 142-158. https://doi.org/10.1057/palgrave.ejis.3000453
Bany Baker, M., & Yusof, Z. (2017). A Framework for Knowledge Sharing in ERP System Usage in Small and Medium Enterprises: A Preliminary Review. Int. J. Bus. Inf. Syst., 24(3), 387-398. https://doi.org/10.1504/IJBIS.2017.082041
Basoglu, N., Daim, T., & Kerimoglu, O. (2007). Organizational adoption of enterprise resource planning systems: A conceptual framework. The Journal of High Technology Management Research, 18(1), 73-97. https://doi.org/10.1016/j.hitech.2007.03.005
Bobek, S., Rohadia, S., & Sternad, S. (2016). ERP Solutions Acceptance in Different Business Environments. 5(2), 6.
Bonaccorsi, G., Pierri, F., Cinelli, M., Flori, A., Galeazzi, A., Porcelli, F., Schmidt, A. L., Valensise, C. M., Scala, A., Quattrociocchi, W., & Pammolli, F. (2020). Economic and social consequences of human mobility restrictions under COVID-19. Proceedings of the National Academy of Sciences, 117(27), 15530-15535. https://doi.org/10.1073/pnas.2007658117
Boughzala, I. (2014). How Generation Y Perceives Social Networking Applications in Corporate Environments. https://doi.org/10.4018/978-1-4666-6182-0.ch009
Bueno, S., Bañuls, V., & Gallego, M. D. (2021). Is urban resilience a phenomenon on the rise? A systematic literature review for the years 2019 and 2020 using textometry Elsevier Enhanced Reader. International Journal of Disaster Risk Reduction, 66. https://doi.org/10.1016/j.ijdrr.2021.102588
Bueno, S., & Gallego, M. D. (2010). Evaluating acceptance of OSS-ERP based on user perceptions. In T. Sobh (Ed.), Innovations and Advances in Computer Sciences and Engineering (pp. 55-60). Springer Netherlands. https://doi.org/10.1007/978-90-481-3658-2_10
Bueno, S., & Salmeron, J. L. (2008). TAM-based success modeling in ERP. Interacting with Computers, 20(6), 515-523. https://doi.org/10.1016/j.intcom.2008.08.003
Busetta, G., Campolo, M. G., Fiorillo, F., Pagani, L., Panarello, D. & Augello, V. (2021). Effects of COVID-19 lockdown on university students' anxiety disorder in Italy. Genus, 77(1), 25. https://doi.org/10.1186/s41118-021-00135-5
Carbonell, P., & Rodríguez, A. I. (2006). Designing teams for speedy product development: The moderating effect of technological complexity. Journal of Business Research, 59(2), 225-232. https://doi.org/10.1016/j.jbusres.2005.08.002
Chang, Y.-W., & Hsu, P.-Y. (2019). An empirical investigation of organizations' switching intention to cloud enterprise resource planning: A cost-benefit perspective. Information Development, 35(2), 290-302. https://doi.org/10.1177/0266666917743287
Cheng, D., Yang, D., Han, J., & Song, Y. (2008). An Empirical Research of Successful ERP Implementation Based on TAM. In L. D. Xu, A. M. Tjoa, & S. S. Chaudhry (Eds.), Research and Practical Issues of Enterprise Information Systems II Volume 1 (Vol. 254, pp. 283-292). Springer US. https://doi.org/10.1007/978-0-387-75902-9_29
Chou, J.-S., & Hong, J.-H. (2013). Assessing the impact of quality determinants and user characteristics on successful enterprise resource planning project implementation. Journal of Manufacturing Systems, 32(4), 792-800. https://doi.org/10.1016/j.jmsy.2013.04.014
Dabi, J., Wiafe, I., Stibe, A., & Abdulai, J.-D. (2018). Can an Enterprise System Persuade? The Role of Perceived Effectiveness and Social Influence. In J. Ham, E. Karapanos, P. P. Morita, & C. M. Burns (Eds.), Persuasive Technology (Vol. 10809, pp. 45–55). Springer International Publishing. https://doi.org/10.1007/978-3-319-78978-1_4
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
Eisenstat, R., Spector, B., & Beer, M. (1990, November 1). Why Change Programs Don't Produce Change. Harvard Business Review. https://hbr.org/1990/11/why-change-programs-dont-produce-change
Elkhani, N., Soltani, S., & Nazir Ahmad, M. (2014). The effects of transformational leadership and ERP system self-efficacy on ERP system usage. Journal of Enterprise Information Management, 27(6), 759-785. https://doi.org/10.1108/JEIM-06-2013-0031
Emhmed, S., Ali, M. A. M., & Al-Yousif, S. (2019). Drivers of Supporting Change to ERP. 2019 IEEE 7th Conference on Systems, Process and Control (ICSPC), 149-154. https://doi.org/10.1109/ICSPC47137.2019.9068056
Emhmed, S., Al-Sanjary, O. I., Jaharadak, A. A., Aldulaimi, S. H., & HazimAlkawaz, M. (2021). Technical and Organizational Facilitating Conditions—The Antecedent Factors and Impact on the Intention to Use ERP System in Libyan Universities. 2021 IEEE 17th International Colloquium on Signal Processing Its Applications (CSPA), 41-46. https://doi.org/10.1109/CSPA52141.2021.9377305
Erasmus, E., Rothmann, S., & Van Eeden, C. (2015). A structural model of technology acceptance. SA Journal of Industrial Psychology, 41(1), 12 pages. https://doi.org/10.4102/sajip.v41i1.1222
Ericsson Networked Society Lab. (2016). The Social Business era. Ericsson Social Business Report, 32.
Forrester, J. W. (1993). System Dynamics and the Lessons of 35 Years. In K. B. De Greene (Ed.), A Systems-Based Approach to Policymaking (pp. 199-240). Springer US. https://doi.org/10.1007/978-1-4615-3226-2_7
Fryling, M. (2012). Incorporating Technology Acceptance and IS Success Frameworks into a System Dynamics Conceptual Model: A Case Study in the ERP Post-Implementation Environment. International Journal of Information Technologies and Systems Approach, 5(2), 41-56. https://doi.org/10.4018/jitsa.2012070103
Fui‐Hoon, N. F., Lee‐Shang, L. J. & Kuang, J. (2001). Critical factors for successful implementation of enterprise systems. Business Process Management Journal, 7(3), 285–296. https://doi.org/10.1108/14637150110392782
Hsu, C.-L., & Lin, J. C.-C. (2016). Factors affecting the adoption of cloud services in enterprises. Information Systems and E-Business Management, 14(4), 791-822. https://doi.org/10.1007/s10257-015-0300-9
Hwang, Y. (2005). Investigating enterprise systems adoption: Uncertainty avoidance, intrinsic motivation, and the technology acceptance model. European Journal of Information Systems, 14(2), 150-161. https://doi.org/10.1057/palgrave.ejis.3000532
Johnson, D. G., & Powers, T. M. (2005). Computer Systems and Responsibility: A Normative Look at Technological Complexity. Ethics and Information Technology, 7(2), 99–107. https://doi.org/10.1007/s10676-005-4585-0
Kim, H.-W., & Kankanhalli, A. (2009). Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective. MIS Quarterly, 33(3), 567-582. https://doi.org/10.2307/20650309
Kwak, Y. H., Park, J., Chung, B. Y. & Ghosh, S. (2012). Understanding End-Users' Acceptance of Enterprise Resource Planning (ERP) System in Project-Based Sectors. IEEE Transactions on Engineering Management, 59(2), 266-277. https://doi.org/10.1109/TEM.2011.2111456
LaCaille, L. (2013). Theory of Reasoned Action. In M. D. Gellman & J. R. Turner (Eds.), Encyclopedia of Behavioral Medicine (pp. 1964-1967). Springer. https://doi.org/10.1007/978-1-4419-1005-9_1619
Lakawathana, P. (2018). Factors affecting the enjoyment of ERP software learning for non-IT learners. 2018 5th International Conference on Business and Industrial Research (ICBIR), 602-607. https://doi.org/10.1109/ICBIR.2018.8391269
Lin, C. J., Yang, C.-W., Lin, S.-B. & Lin, S.-F. (2009). A Human Factors Model for Enterprise Resources Planning System Implementation. In M. J. Smith & G. Salvendy (Eds.), Human Interface and the Management of Information. Designing Information Environments (Vol. 5617, pp. 123-130). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-02556-3_14
Ling Keong, M., Ramayah, T., Kurnia, S. & May Chiun, L. (2012). Explaining intention to use an enterprise resource planning (ERP) system: An extension of the UTAUT model. Business Strategy Series, 13(4), 173-180. https://doi.org/10.1108/17515631211246249
Lucas, H. Jr. (1981). Implementation: The key to successful information systems. Columbia Press.
Markus, M. L., Tanis, C. & van Fenema, P. C. (2000). Enterprise resource planning: Multisite ERP implementations. Communications of the ACM, 43(4), 42-46. https://doi.org/10.1145/332051.332068
Maslow, A. H. (n.d.). A THEORY OF HUMAN MOTIVATION. 27.
Mayeh, M., Ramayah, T. & Mishra, A. (2016). The role of absorptive capacity, communication and trust in ERP adoption. Journal of Systems and Software, 119, 58-69. https://doi.org/10.1016/j.jss.2016.05.025
Meadows, D. (1989). Gaming to implement system dynamics models. Institute for Policy and Social Science Research. https://systemdynamics.org/wp-content/uploads/assets/proceedings/1989/meado635.pdf
Meinel, C., & von Thienen, J. (2016). Design Thinking. Informatik-Spektrum, 39(4), 310–314. https://doi.org/10.1007/s00287-016-0977-2
Mewes, L., & Broekel, T. (2020). Technological complexity and economic growth of regions. Research Policy, 104156. https://doi.org/10.1016/j.respol.2020.104156
Meyliana, Widjaja, H. A. E., Larasati, A. P., Respati, R., & Ranaputri, V. (2018). The Evaluation of Enterprise Resource Planning (ERP) Financial Accounting and Control Using Technology Acceptance Model. 2018 International Conference on Computing, Engineering, and Design (ICCED), 69-74. https://doi.org/10.1109/ICCED.2018.00023
Nguyen, T. D., & Luc, K. V. T. (2018). Information Systems Success: Empirical Evidence on Cloud-based ERP. In T. K. Dang, J. Küng, R. Wagner, N. Thoai, & M. Takizawa (Eds.), Future Data and Security Engineering (Vol. 11251, pp. 471-485). Springer International Publishing. https://doi.org/10.1007/978-3-030-03192-3_36
Nguyen, T. D., Nguyen, D. T. & Nguyen, T. M. (2016). Information Systems Success: The Project Management Information System for ERP Projects. In P. C. Vinh & V. Alagar (Eds.), Context-Aware Systems and Applications (Vol. 165, pp. 198-211). Springer International Publishing. https://doi.org/10.1007/978-3-319-29236-6_20
Picek, R., Bobek, S., & Zabukovšek, S. (2019). Impacts of Personal Characteristics of Students on Their Acceptance of ERP Solutions in Learning Process: Proceedings of the 21st International Conference on Enterprise Information Systems, 460-467. https://doi.org/10.5220/0007745304600467
Pinar, W. F. (2021). Curriculum and the Covid-19 crisis. PROSPECTS. https://doi.org/10.1007/s11125-021-09560-y
Putri, A. D., Lubis, M. & Azizah, A. H. (2020). Analysis of Critical Success Factors (CSF) in Enterprise Resource Planning (ERP) Implementation using Extended Technology Acceptance Model (TAM) at Trading and Distribution Company. 2020 4rd International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM), 129-135. https://doi.org/10.1109/ELTICOM50775.2020.9230527
Rajan, C. A., & Baral, R. (2014). Factors Affecting the User Acceptance of ERP and the Impact on the Individuals: A Conceptual Model. In M. K. Nandakumar, S. Jharkharia, & A. S. Nair (Eds.), Organisational Flexibility and Competitiveness (pp. 167–180). Springer India. https://doi.org/10.1007/978-81-322-1668-1_12
Ratinaud, P. (2009). IRAMUTEQ. http ://www.iramuteq.org
Rienzo, T., & Han, B. (2011). Does ERP Hands-On Experience Help Students Learning Business Process Concepts?: Teaching Business Process Concepts. Decision Sciences Journal of Innovative Education, 9(2), 177-207. https://doi.org/10.1111/j.1540-4609.2011.00300.x
Shivers‐Blackwell, S. L., & Charles, A. C. (2006). Ready, set, go: Examining student readiness to use ERP technology. Journal of Management Development, 25(8), 795-805. https://doi.org/10.1108/02621710610684268
Software Engineering Department, Faculty of Science and IT, Al-Zaytoonah University of Jordan, Amman, Jordan, Althunibat, A., Zahrawi, A. A., Tamimi, A. A., & Altarawneh, F. H. (2019). Measuring the Acceptance of Using Enterprise Resource Planning (ERP) System in Private Jordanian Universities Using TAM Model. International Journal of Information and Education Technology, 9(7), 502-505. https://doi.org/10.18178/ijiet.2019.9.7.1254
Somers, T. M., & Nelson, K. (2001). The impact of critical success factors across the stages of enterprise resource planning implementations. Proceedings of the 34th Annual Hawaii International Conference on System Sciences, 10 pp. https://doi.org/10.1109/HICSS.2001.927129
Song, Y., Han, J., Cheng, D. & Zhang, Y. (2007). An Empirical Research on the Impact of CSFs on Adoption of ERP. 2007 International Conference on Wireless Communications, Networking and Mobile Computing, 6248-6251. https://doi.org/10.1109/WICOM.2007.1533
Su, B., & Chen, C.-D. (2021). A Study of Factors Influencing the Adoption of Cloud-Based ERP System: The Perspective of Transaction Cost Economics. In F. F.-H. Nah & K. Siau (Eds.), HCI in Business, Government and Organizations (Vol. 12783, pp. 433-443). Springer International Publishing. https://doi.org/10.1007/978-3-030-77750-0_27
Varasteh, Z., Mirabolghasemi, M., & Hosseinikhah, S. (n.d.). A Proposed Model for Assessing the Determinants of Enterprise Resource Planning Adoption and Satisfaction. 9.
Venkatesh, Morris, Davis, & Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540
Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatraman, S., & Fahd, K. (2016). Challenges and Success Factors of ERP Systems in Australian SMEs. Systems, 4(2), 20. https://doi.org/10.3390/systems4020020
Veronica. (2020). An Evaluation of The Employee Self-Service Feature of SAP System with Technology Acceptance Model (TAM): A Case Study. 2020 International Conference on Information Management and Technology (ICIMTech), 761-766. https://doi.org/10.1109/ICIMTech50083.2020.9211291
W, I. W., Lubis, M., Witjaksono, W., & Azizah, A. H. (2019). Implementation of Enterprise Resource Planning (ERP) using Integrated Model of Extended Technology Acceptance Model (TAM) 2: Case Study of PT. Toyota Astra Motor. 2019 7th International Conference on Cyber and IT Service Management (CITSM), 1–6. https://doi.org/10.1109/CITSM47753.2019.8965342
Wang, T., Oh, L.-B., Wang, K. & Yuan, Y. (2013). User adoption and purchasing intention after free trial: An empirical study of mobile newspapers. Information Systems and E-Business Management, 11(2), 189-210. https://doi.org/10.1007/s10257-012-0197-5
Witjaksono, R. W., Sihabuddin, A. & Azhari, A. (2021). A Modified of TAM and TTF integraton to analyze the effect of ERP implementation on employee performance... Vol., 7, 12.
Xiao, Y., & Watson, M. (2019). Guidance on Conducting a Systematic Literature Review. Journal of Planning Education and Research, 39(1), 93-112. https://doi.org/10.1177/0739456X17723971
Yang, H.-D., Moon, Y. & Rowley, C. (2009). Social influence on knowledge worker's adoption of innovative information technology. Journal of Computer Information Systems, 50.
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