Development of The Means of Engagement Concept on Enterprise Resource Planning User Satisfaction

Authors

  • Rayhan Rafael Rafsanjani Telkom University
  • Muharman Lubis Telkom Univeristy
  • Sahidan Abdulmana Fatoni University

DOI:

https://doi.org/10.62123/enigma.v1i1.7

Keywords:

Means of Engagement (MOE), engagement, user satisfaction, ERP system adoption

Abstract

None of the several theories that underpin the assessment of IT adoption characterizes the process as dynamically as the Means of Engagement theory does. User satisfaction is a key factor in influencing the success of ERP implementation as well as the adoption of the ERP system by the user. Therefore, it is necessary to identify the factors affecting user satisfaction of the ERP system as well as the relationship between customer satisfaction and user involvement. This research aims to develop a concept or model of Means of Engagement (MOE) on relationship domain in particular for satisfaction factor with the research object of PT Glico Indonesia. The research uses SEM-PLS analysis method using the SmartPLS 4 application to construct and test a structural equation model that reflects the relationship between the variables investigated in the research. The evaluation results showed that the five SERVQUAL dimensions studied did not have a significant impact on user satisfaction while customer satisfaction had a significant positive impact on engagement. The results of this research, namely the development of the Means of Engagement model, are expected to be the basis for PT Glico Indonesia to design strategies that can improve and maintain the adoption of ERP system users based on the level of the means of engagement model.

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Author Biography

Muharman Lubis, Telkom Univeristy

Head of the master's programme of Information Systems studies

References

D. M. A. I. Lluciana, N. Soewarno, and I. Isnalita, “Dampak Sistem Erp Terkait Relevansi Informasi Akuntansi Dan Kinerja Perusahaan : Perusahaan Adopsi Erp Dan Tidak Adopsi Erp,” J. Akunt. Univ. Jember, vol. 15, no. 1, p. 1, 2018, doi: 10.19184/jauj.v15i1.7724.

S. Dezdar, “User Satisfaction Issues in ERP Projects,” World Acad. Sci. Eng. Technol., no. January 2012, pp. 1364–1367, 2012.

J. H. Wu and Y. M. Wang, “Measuring ERP success: The key-users’ viewpoint of the ERP to produce a viable IS in the organization,” Comput. Human Behav., vol. 23, no. 3, pp. 1582–1596, 2007, doi: 10.1016/j.chb.2005.07.005.

S. von G. Zu Wolfsthurn, L. P. Robles, and N. O. Schiller, “Cross-linguistic interference in late language learners: An ERP study,” Brain Lang., vol. 221, p. 104993, 2021.

W. H. DeLone and E. R. McLean, “The DeLone and McLean model of information systems success: A ten-year update,” J. Manag. Inf. Syst., vol. 19, no. 4, pp. 9–30, 2003, doi: 10.1080/07421222.2003.11045748.

D. Kulathunga and M. Krishantha, “User Satisfaction Factors of ERP Systems: The Case of a Manufacturing Company in Sri Lanka,” Eur. J. Bus. Manag., vol. 11, no. 33, pp. 105–114, 2019, doi: 10.7176/ejbm/11-33-12.

E. Monk and B. Wagner, Concepts in Enterprise Resource Planning. Cengage Learning, 2012.

S. Shang and P. B. Seddon, “A Comprehensive Framework for Classifying the Benefits of ERP Systems,” in Americas Conference on Information Systems (AMCIS 2000 Proceedings), 2000, pp. 1-11 Paper 39.

M. Lubis, I. R. Wardhani, and W. Witjaksono, “Examining the Means of Engagement (MOE) for Enterprise Resource Planning (ERP) Adoption in Indonesia: Factors and Measures,” in 2019 3rd International Conference on Electrical, Telecommunication and Computer Engineering, ELTICOM 2019 - Proceedings, IEEE, 2019, pp. 21–26. doi: 10.1109/ELTICOM47379.2019.8943865.

F. Damanpour, “Organizational Innovation: A Meta-Analysis Of Effects Of Determinants and Moderators,” Acad. Manag. J., vol. 34, no. 3, pp. 555–590, 1991, doi: 10.5465/256406.

B. Ives, M. H. Olson, and J. J. Baroudi, “The measurement of user information satisfaction,” Commun. ACM, vol. 26, no. 10, pp. 785–793, 1983, doi: 10.1145/358413.358430.

R. F. Powers and G. W. Dickson, “MisProject Management: Myths, Opinions, and Reality,” Calif. Manage. Rev., vol. 15, no. 3, pp. 147–156, 1973, doi: 10.2307/41164448.

L. R. Kalankesh, Z. Nasiry, R. Fein, and S. Damanabi, “Factors Influencing User Satisfaction with Information Systems: A Systematic Review,” Galen Med. J., vol. 9, p. e1686, 2020, doi: 10.31661/gmj.v9i0.1686.

W. J. Doll and G. Torkzadeh, “The Measurement of End-User Computing Satisfaction,” MIS Q., vol. 12, no. 2, pp. 259–274, 1988.

M. Adam Mahmood, J. M. Burn, L. A. Gemoets, and C. Jacquez, “Variables affecting information technology end-user satisfaction: a meta-analysis of the empirical literature,” Int. J. Hum. Comput. Stud., vol. 52, no. 4, pp. 751–771, 2000, doi: 10.1006/ijhc.1999.0353.

A. M. Smith, “Measuring service quality: Is SERVQUAL now redundant?,” J. Mark. Manag., vol. 11, no. 1–3, pp. 257–276, 1995, doi: 10.1080/0267257X.1995.9964341.

A. Parasuraman, V. A. Zeithaml, and L. L. Berry, “A Conceptual Model of Service Quality and Its Implications for Future Research,” J. Mark., vol. 49, no. 4, p. 41, 1985, doi: 10.2307/1251430.

A. Parasuraman, V. A. Zeithaml, and L. L. Berry, “Refinement and Reassessment of the SERVQUAL Scale,” J. Retail., vol. 67, no. 4, p. 420, 1991.

J. W. Creswell and J. D. Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, Fifth. Sage Publications, Inc., 2018.

Y. J. Kim, M. (Tae-I. Eom, and J. H. Ahn, “Measuring IS Service Quality In The Context Of The Service Quality-User Satisfaction Relationship,” J. Inf. Technol. Theory Appl., vol. 7, no. 2, pp. 53–70, 2005.

P. K. Mohanty, S. F. C. Sekhar, and P. Shahaida, “Determinants of ERP Adoption, User Satisfaction, and User Engagement,” Int. J. Inf. Syst. Model. Des., vol. 13, no. 1, pp. 1–16, 2022, doi: 10.4018/IJISMD.297044.

Y. B. Islami, M. Lubis, R. W. Witjaksono, and A. H. Azizah, “Development of the Means of Engagement (MOE) Model in the Context of Enterprise Resource Planning (ERP) for User Acceptance Level,” 2019 7th Int. Conf. Cyber IT Serv. Manag. CITSM 2019, no. November, 2019, doi: 10.1109/CITSM47753.2019.8965366.

T. Syafiera, M. Lubis, R. W. Witjaksono, and H. D. Anggana, “The Means of Engagement (MOE) Model of the Agreement towards the Enterprise Resource Planning (ERP) Implementation,” Proc. 2019 4th Int. Conf. Informatics Comput. ICIC 2019, no. October, 2019, doi: 10.1109/ICIC47613.2019.8985900.

J. In, “Introduction of a pilot study,” Korean J. Anesthesiol., vol. 70, no. 6, pp. 601–605, 2017, doi: 10.4097/kjae.2017.70.6.601.

J. T. Amora, “Convergent validity assessment in PLS-SEM: A loadings-driven approach,” Data Anal. Perspect. J., vol. 2, no. 1, pp. 1–6, 2021.

A. M. Hubley, “Discriminant Validity,” in Encyclopedia of Quality of Life and Well-Being Research, A. C. Michalos, Ed., Dordrecht: Springer Netherlands, 2014, pp. 1664–1667. doi: 10.1007/978-94-007-0753-5_751.

J. J. Cronin and S. a Taylor, “Measuring Service Quality: A Reexamination and Extension,” J. Mark., vol. 56, no. 3, pp. 55–68, 1992.

N. Kock and P. Hadaya, “Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods,” Inf. Syst. J., vol. 28, no. 1, pp. 227–261, 2018, doi: 10.1111/isj.12131.

J. Lorah, “Effect size measures for multilevel models: definition, interpretation, and TIMSS example,” Large-Scale Assessments Educ., vol. 6, no. 1, 2018, doi: 10.1186/s40536-018-0061-2.

J. Cohen, Statistical Power Analysis for the Behavioral Sciences, Second Edi. New York, 1988.

Lubis, M., Kartiwi, M., & Zulhuda, S. (2016, October). Current state of personal data protection in electronic voting: Demand on Legislature's Bill. In 2016 International Conference on Informatics and Computing (ICIC) (pp. 233-238). IEEE.

Lubis, A. R., Prayudani, S., Lubis, M., & Nugroho, O. (2022, July). Sentiment Analysis on Online Learning During the Covid-19 Pandemic Based on Opinions on Twitter using KNN Method. In 2022 1st International Conference on Information System & Information Technology (ICISIT) (pp. 106-111). IEEE.

Akrim, Lubis, M., & Lubis, A. R. (2020, April). Classification of Tajweed Al-Qur'an on Images Applied Varying Normalized Distance Formulas. In Proceedings of the 3rd International Conference on Electronics, Communications and Control Engineering (pp. 21-25).

Lubis, A. R., Lubis, M., & Azhar, C. D. (2019). The effect of social media to the sustainability of short message service (SMS) and phone call. Procedia Computer Science, 161, 687-695.

Prasetyo, S. J., Lubis, M., Witjaksono, R. W., & Azizah, A. H. (2019, October). Critical failure factors in enterprise resource planning (ERP) implementation: case study of PT. Toyota astra motor Indonesia. In 2019 Fourth International Conference on Informatics and Computing (ICIC) (pp. 1-5). IEEE.

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Published

2023-10-31

How to Cite

Rafsanjani, R. R., Lubis, M., & Abdulmana, S. (2023). Development of The Means of Engagement Concept on Enterprise Resource Planning User Satisfaction. Electronic Integrated Computer Algorithm Journal, 1(1), 16–25. https://doi.org/10.62123/enigma.v1i1.7

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