Factors Affecting User Acceptance of ERP Systems in SMEs
DOI:
https://doi.org/10.48112/bms.v1i1.758Abstract
Abstract Views: 662
This study aimed to examine the factors affecting the adoption of ERP in Pakistan's small and medium enterprises (SME) sector. With a sample size of 251 individuals, a quantitative methodology was used. A survey method approach is employed to gather data from a diverse sample with experience as a small enterprise targeted explicitly in Pakistan. Through statistical analysis, the study explored the relationship between these independent variables and the impact of ERP in small organisational settings. It investigates how attitudes towards ERP influence its adoption and utilisation, how the perceived effort required affects ERP implementation, how performance expectations influence organisational outcomes, and how facilitating conditions contribute to successful ERP integration. The findings provide insights into the significant role of performance and facilitating conditions in shaping the impact of ERP in organisational settings.
Keywords:
Employee performance, Enterprise resource planning, Organisational performance, Performance ERP user, Small and medium enterprisesReferences
Alambaigi, A., & Ahangari, I. (2016). Technology acceptance model (TAM) as a predictor model for explaining agricultural experts behavior in acceptance of ICT. International Journal of Agricultural Management and Development (IJAMAD), 6(2), 235-247. http://dx.doi.org/10.22004/ag.econ.262557
Amandasari, G. (2019). ERP System Self Efficacy and ERP System Usage: The Role of Perceived Usefulness and Perceived Ease of Use. American Journal of Humanities and Social Sciences Research, 3(5), 155-162.
Babic, S., & Golob, M. (2018, May). Investigating attitudes of entrepreneurs towards the use of information and communication technologies in Croatian SMEs in two Northern Adriatic counties. In 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (pp. 1376-1381). IEEE. https://doi.org/10.23919/MIPRO.2018.8400248
Bell, E., Bryman, A., & Harley, B. (2022). Business Research Methods. Oxford University Press.
Bendoly, E., Bachrach, D., Wang, H., & Zhang, S. (2006). ERP in the minds of supervisors: Joint roles of task interdependence and cultural norms. International Journal of Operations & Production Management, 26, 558–578. https://doi.org/10.1108/01443570610659900
Bradford, M., & Florin, J. (2003). Examining the Role of Innovation Diffusion Factors on the Implementation Success of Enterprise Resource Planning Systems. International Journal of Accounting Information Systems, 4, 205–225. https://doi.org/10.1016/S1467-0895(03)00026-5
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
Compeau, D. R., & Higgins, C. A. (1995). Application of Social Cognitive Theory to Training for Computer Skills. Information Systems Research, 6(2), 118–143. https://doi.org/10.1287/isre.6.2.118
Crespo, E., Astudillo-Rodríguez, C., Chica-Contreras, G., & Vásquez-Aguilera, A. (2023). Technology Acceptance Model of ERP software in Small Business: A Systematic Literature review. Enfoque UTE, 14(1). https://doi.org/10.29019/enfoqueute.884
Daoud, L., & Ibrahim, M. (2018). The Factors Affecting on E-procurement Usage: The Moderating Role of Power. Journal of Physics: Conference Series, 1019, 012076. https://doi.org/10.1088/1742-6596/1019/1/012076
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
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
Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106-121. https://doi.org/10.1108/EBR-10-2013-0128
Hair, J. F. (Ed.). (2014). Multivariate data analysis (7. ed., Pearson new internat. ed). Pearson.
Iacobucci, D. (2010). Structural equations modeling: Fit Indices, sample size, and advanced topics. Journal of Consumer Psychology, 20(1), 90–98. https://doi.org/10.1016/j.jcps.2009.09.003
Iqbal, A., & Usmani, S. (2009). Factors influencing individual investor behavior (The Case of the Karachi Stock Exchange). South Asian Journal of Management Sciences, 3(1), 15-26.
Ismail, H. (2016). Intention to Use Smartphone Through Perceived Compatibility, Perceived Usefulness, and Perceived Ease of Use. Jurnal Dinamika Manajemen, 7, 1. https://doi.org/10.15294/jdm.v7i1.5748
Karsten, R., Mitra, A., & Schmidt, D. (2014). Computer Self-Efficacy. Journal of Organizational and End User Computing, 24, 54–80. https://doi.org/10.4018/joeuc.2012100104
Kassab, H., Scott, K., Boyd, M. R., Puspitasari, A., Endicott, D., & Lewis, C. C. (2022). Tailored isn’t always better: Impact of standardized versus tailored training on intention to use measurement-based care. Implementation Research and Practice, 3, 26334895221087476. https://doi.org/10.1177/26334895221087477
Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford publications.
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
Le, M.-D. (2021). User acceptance of enterprise resource planning systems: A study in small and medium enterprises in Vietnam. International Journal of Entrepreneurship and Innovation Management, 25(1), 72–104. https://doi.org/10.1504/IJEIM.2021.113799
Leonard-Barton, D., & Deschamps, I. (1988). Managerial influence in the implementation of new technology. Management Science, 34(10), 1252-1265. https://doi.org/10.1287/mnsc.34.10.1252
Lepper, M. R. (1985). Microcomputers in education: Motivational and social issues. American Psychologist, 40, 1–18. https://doi.org/10.1037/0003-066X.40.1.1
Malhotra, R., & Temponi, C. (2010). Critical decisions for ERP integration: Small business issues. International Journal of Information Management, 30(1), 28–37. https://doi.org/10.1016/j.ijinfomgt.2009.03.001
Marler, J. H., Liang, X., & Dulebohn, J. H. (2006). Training and Effective Employee Information Technology Use. Journal of Management, 32(5), 721–743. https://doi.org/10.1177/0149206306292388
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. https://doi.org/10.1287/isre.2.3.192
Moreno-Camacho, C. A., Montoya-Torres, J. R., Jaegler, A., & Gondran, N. (2019). Sustainability metrics for real case applications of the supply chain network design problem: A systematic literature review. Journal of Cleaner Production, 231, 600–618. https://doi.org/10.1016/j.jclepro.2019.05.278
Pappas, I., Pateli, A., Giannakos, M., & Chrissikopoulos, V. (2014). Moderating effects of online shopping experience on customer satisfaction and repurchase intentions. International Journal of Retail & Distribution Management, 42, 187–204. https://doi.org/10.1108/IJRDM-03-2012-0034
Park, H. M. (2015). Univariate Analysis and Normality Test Using SAS, Stata, and SPSS. IU Scholar Works. Indiana University. https://hdl.handle.net/2022/19742
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
Schumacker, R. E., & Lomax, R. G. (2004). A beginner's guide to structural equation modeling. Psychology Press.
Sharma, R., & Yetton, P. (2011). Top management support and IS implementation: Further support for the moderating role of task interdependence. European Journal of Information Systems, 20(6), 703–712. https://doi.org/10.1057/ejis.2011.39
Skowronek, D., & Duerr, L. (2009). The convenience of nonprobability: Survey strategies for small academic libraries. College & Research Libraries News, 70(7), 412-415. https://doi.org/10.5860/crln.70.7.8221
Soto-Acosta, P., Ramayah, T., & Popa, S. (2013). Explaining intention to use an enterprise resource planning system: A replication and extension. Tehnicki vjesnik/Technical Gazette, 20(3).
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1), 125–143. https://doi.org/10.2307/249443
Van Slyke, C., Lou, H., & Day, J. (2002). The Impact of Perceived Innovation on Intention to Use Groupware. IRMJ, 15, 1–12. https://doi.org/10.4018/irmj.2002010101
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. https://doi.org/10.1111/j.1540-5915.1996.tb00860.x
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
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Bulletin of Multidisciplinary Studies

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

