Development Of Means Of Engagement (Moe) Concepts For The Use Of Enterprise Resource Planning (Erp) At The Approval Level


  • Achmad Rafi Telkom University
  • Muharman Lubis Telkom University
  • R. Wahjoe Witjaksono Telkom University
  • Nguyen Kieu Trang Vietnam National University



Means of Engagement (MoE), approval, ERP System Adoption


The cause of ERP system implementation failure in companies can be caused by several factors, so we need a model that can be applied, especially at the stage of approval for system use. This study aims to analyze what factors influence approval for product use (approval) in implementing an ERP system in a company and to analyze what factors have a positive and significant influence on the success or failure of system implementation in terms of approval. Research systematics through several stages, namely the stages of review, collection, analysis, and interpretation. The object of this research is PT. Glico Indonesia and with the SEM-PLS analysis method use the SmartPLS 4 application to test the structural equation model that reflects the relationship between variables. This research has a total of eight variables with one dependent variable approval and seven independent variables consisting of certainty of outcome, causality, motive consistency, control potential, situational construal, appraisal, and coping. In each variable, there are several indicators to support research. The tests used in this study are outer model testing, structural model testing, and hypothesis testing using bootstrapping. Based on the results obtained from this study, of the seven independent variables, three variables have a significant and positive effect on approval, namely certainty of outcome, situational construal, and coping. Two variables have a significant but negative effect on approval, namely causality and motive consistency, there is one variable that has no significant and negative effect on approval, namely control potential and there is one variable that does not have a significant but positive effect on approval, namely appraisal.


Download data is not yet available.


L. Grinin, A. Grinin, and A. Korotayev, “COVID-19 pandemic as a trigger for the acceleration of the cybernetic revolution, transition from e-government to e-state, and change in social relations,” Technol. Forecast. Soc. Change, vol. 175, p. 121348, 2022.

S. Vahdat, “The role of IT-based technologies on the management of human resources in the COVID-19 era,” Kybernetes, vol. 51, no. 6, pp. 2065–2088, 2022.

S. McGarraghy et al., “Conceptual system dynamics and agent-based modelling simulation of interorganisational fairness in food value chains: Research agenda and case studies,” Agriculture, vol. 12, no. 2, p. 280, 2022.

J.-P. Gond and E. Boxenbaum, “The glocalization of responsible investment: Contextualization work in France and Quebec,” J. Bus. ethics, vol. 115, pp. 707–721, 2013.

S. Sarjana, N. Khayati, L. Warini, and P. Praswiyati, “Business Sustainability: Efforts To Strengthen Sustainability Corporate In Industrial Estate,” E-Mabis J. Ekon. Manaj. dan Bisnis, vol. 21, no. 1, pp. 48–64, 2020.

A. Farhoomand, M. L. Markus, G. Gable, and S. Khan, Managing (e) business transformation: a global perspective. Bloomsbury Publishing, 2021.

A. Imamuddin, “An enterprise resource planning system solution for small-mid size enterprises: An information system development case study,” J. Comput. Sci. Inf. Technol. Telecommun. Eng., vol. 2, no. 1, pp. 160–168, 2021.

M. Stirling, D. Petty, and L. Travis, “A methodology for developing integrated information systems based on ERP packages,” Bus. Process Manag. J., vol. 8, no. 5, pp. 430–446, 2002.

A. G. Chofreh, F. A. Goni, J. J. Klemeš, M. N. Malik, and H. H. Khan, “Development of guidelines for the implementation of sustainable enterprise resource planning systems,” J. Clean. Prod., vol. 244, p. 118655, 2020.

S. Tian, T. Wang, L. Zhang, and X. Wu, “The Internet of Things enabled manufacturing enterprise information system design and shop floor dynamic scheduling optimisation,” Enterp. Inf. Syst., vol. 14, no. 9–10, pp. 1238–1263, 2020.

I. G. Mira, M. Lubis, W. Puspitasari, and A. R. Lubis, “ERP system implementation with accounting modules in national amil zakat institutions,” in IOP Conference Series: Materials Science and Engineering, IOP Publishing, 2020, p. 12117.

I. Falagara Sigala, W. J. Kettinger, and T. Wakolbinger, “Digitizing the field: designing ERP systems for Triple-A humanitarian supply chains,” J. Humanit. Logist. Supply Chain Manag., vol. 10, no. 2, pp. 231–260, 2020.

L. Wang, S. Guan, W. Deng, and P. Lu, “ERP System Design for Hydrogen Equipment Manufacturing Industry Based on Low Code Technology,” Mob. Inf. Syst., vol. 2022, 2022.

N. Phaphoom, J. Qu, A. Kheaksong, and W. Saelee, “An Investigation of ERP implementation:: A Comparative Case Study of SME and Large Enterprises in Thailand,” in 2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE), IEEE, 2018, pp. 1–6.

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.

G. Suparta, “KONSEP SISTEM INFORMASI (dalam berbagai aspek kehidupan masyarakat).” Media Sains, 2021.

M. Tavana, V. Hajipour, and S. Oveisi, “IoT-based enterprise resource planning: Challenges, open issues, applications, architecture, and future research directions,” Internet of Things, vol. 11, p. 100262, 2020.

E. Yulianto and A. Mauludin, “Analisis arsitektur & fungsional Openbravo 3.0 ERP dan penerapannya menggunakan metode EUP,” J. Inf, vol. 9, 2017.

S. AlMuhayfith and H. Shaiti, “The impact of enterprise resource planning on business performance: With the discussion on its relationship with open innovation,” J. Open Innov. Technol. Mark. Complex., vol. 6, no. 3, p. 87, 2020.

E. N. Robson, K. P. Wijayaratna, and V. V Dixit, “A review of computable general equilibrium models for transport and their applications in appraisal,” Transp. Res. Part A Policy Pract., vol. 116, pp. 31–53, 2018.

Y. Wang, A. Kotha, P. Hong, and M. Qiu, “Automated student engagement monitoring and evaluation during learning in the wild,” in 2020 7th IEEE international conference on cyber security and cloud computing (CSCloud)/2020 6th IEEE international conference on edge computing and scalable cloud (EdgeCom), IEEE, 2020, pp. 270–275.

D. M. Mertens and A. T. Wilson, Program evaluation theory and practice. Guilford Publications, 2018.

G. D’Aniello, M. De Falco, M. Gaeta, and M. Lepore, “A situation-aware learning system based on fuzzy cognitive maps to increase learner motivation and engagement,” in 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, 2020, pp. 1–8.

V. L. Camacho, E. de la Guía, T. Olivares, M. J. Flores, and L. Orozco-Barbosa, “Data capture and multimodal learning analytics focused on engagement with a new wearable IoT approach,” IEEE Trans. Learn. Technol., vol. 13, no. 4, pp. 704–717, 2020.

O. Noroozi, H. J. Pijeira-Díaz, M. Sobocinski, M. Dindar, S. Järvelä, and P. A. Kirschner, “Multimodal data indicators for capturing cognitive, motivational, and emotional learning processes: A systematic literature review,” Educ. Inf. Technol., vol. 25, pp. 5499–5547, 2020.

M. Volonte, Y.-C. Hsu, K.-Y. Liu, J. P. Mazer, S.-K. Wong, and S. V Babu, “Effects of interacting with a crowd of emotional virtual humans on users’ affective and non-verbal behaviors,” in 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), IEEE, 2020, pp. 293–302.

G. Mohammadi and P. Vuilleumier, “A multi-componential approach to emotion recognition and the effect of personality,” IEEE Trans. Affect. Comput., vol. 13, no. 3, pp. 1127–1139, 2020.

M. Lubis, M. Kartiwi, and S. Zulhuda, “Current state of personal data protection in electronic voting: Demand on Legislature’s Bill,” in 2016 International Conference on Informatics and Computing (ICIC), IEEE, 2016, pp. 233–238.

A. R. Lubis, S. Prayudani, M. Lubis, and O. Nugroho, “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), IEEE, 2022, pp. 106–111.

A. Khowarizmi, Akhm, M. Lubis, and A. R. Lubis, “Classification of Tajweed Al-Qur’an on Images Applied Varying Normalized Distance Formulas,” in ACM International Conference Proceeding Series, 2020, pp. 21–25. doi: 10.1145/3396730.3396739.

S. J. Prasetyo, M. Lubis, R. W. Witjaksono, and A. H. Azizah, “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), IEEE, 2019, pp. 1–5.




How to Cite

Rafi, A., Lubis, M., Witjaksono, R. W., & Trang, N. K. (2023). Development Of Means Of Engagement (Moe) Concepts For The Use Of Enterprise Resource Planning (Erp) At The Approval Level. Electronic Integrated Computer Algorithm Journal, 1(1), 32–40.

Most read articles by the same author(s)