Systematic Literature Review Comparative Analysis Factors Influencing the Success of Enterprise Systems

Ryo Pambudi, Dinda Ayu Aprilia, Eko Sediyono, Aris Puji Widodo


Enterprise System (ES) is a software system that helps companies operate their businesses and manage their data. The importance of achieving ES adaptation to the organization's business behavior requires a systematic effort to measure the success factors in enterprise systems so that the objectives of using ES can be achieved. Some journals examine several factors that influence the success of enterprise system.  Analysis needs to be carried out as a basis and consideration to produce measurement methods that continue to develop so as to encourage the emergence of various new successful system measurement models. Analysis and evaluation of the success factors that influence the success factors of ES can be done using Systematic Literature Review (SLR) method. This study uses the SLR method of comparison of success factors in ES, which includes journals published from 2000 to 2022. From the results of this SLR research, it can be seen that several success factors influence the success of the enterprise system.

Full Text:



G. Gable and D. Sedera, “Knowledge Management Competence For Enterprise System Success,” J. Strateg. Inf. Syst., vol. 19, pp. 296–306, 2010.

G. Gable, T. Chan, and D. Sedera, “Measuring enterprise systems success: A preliminary model,” in Proceedings Americas Conference on Information Systems, Tampa, Florida., 2003.

N. Gorla, T. M. Somers, and B. Wong, “Organizational Impact of System Quality , Information Quality , and Service Quality,” J. Strateg. Inf. Syst., vol. 19, no. 3, pp. 207–228, 2010, doi: 10.1016/j.jsis.2010.05.001.

S. Petter, W. Delone, and E. Mclean, “Measuring Information Systems Success : Models , Dimensions , Measures , and Interrelationships,” Eur. J. Inf. Syst., no. July 2007, pp. 236–263, 2008, doi: 10.1057/ejis.2008.15.

I. March, T. Salvatore, I. Janice, E. Proceedings, and T. I. Conference, “Enterprise Systems Success: A Measurement Model,” Proc. Twenty-Fourth Int. Conf. Inf. Syst., pp. 576–591, 2003.

A. Almutairi, M. A. Naeem, and G. Weber, “Understanding Enterprise Systems Adaptability: An Exploratory Survey,” Procedia Comput. Sci., vol. 197, no. 2021, pp. 743–750, 2021, doi: 10.1016/j.procs.2021.12.196.

J. F. J. Vos and A. Boonstra, “The Influence of Cultural Values on Enterprise System Adoption, Towards a Culture – Enterprise System alignment theory,” Int. J. Inf. Manage., vol. 63, no. November 2021, p. 102453, 2022, doi: 10.1016/j.ijinfomgt.2021.102453.

N. Urbach and B. Müller, “The Updated DeLone and McLean Model of Information Systems Success,” in Information Systems Theory: Explaining and Predicting 1 Our Digital Society, vol. 1, 2012.

E. Triandini, S. Jayanatha, A. Indrawan, G. Werla Putra, and B. Iswara, “Systematic Literature Review Method for Identifying Platforms and Methods for Information System Development in Indonesia,” Indones. J. Inf. Syst., vol. 1, no. 2, p. 63, 2019.

B. A. Kitchenham and S. Charters, “Guidelines for performing Systematic Literature Reviews in Software Engineering. EBSE Technical Report EBSE-2007-01. School of Computer Science and Mathematics, Keele University,” no. January, pp. 1–57, 2007.

A. N. Yusril, I. Larasati, and P. Al Zukri, “Analisis Metode Agile dalam Pengembangan Aplikasi Mobile,” vol. 10, pp. 369–380, 2021.

P. Soja, “Understanding determinants of enterprise system adoption success : lessons learned from full-scope projects in manufacturing companies,” Prod. Plan. Control, vol. 7287, no. 21:8, pp. 736–750, 2010, doi: 10.1080/09537281003601597.

N. H. Zakaria and D. Sedera, “Developing a Knowledge Base for Enterprise System Success : The Role of Management and Operational Staff,” Australas. Conf. Inf. Syst., vol. 67, 2010.

R. Sehgal and G. Stewart, “Exploring the Relationship between User Empowerment and Enterprise System Success Measures,” 2004.

Z. Shao, Y. Feng, and Q. Hu, “Effectiveness of top management support in enterprise systems success: A contingency perspective of fit between leadership style and system life-cycle,” Eur. J. Inf. Syst., vol. 25, no. 2, pp. 131–153, 2016, doi: 10.1057/ejis.2015.6.

S. Mathrani and A. Mathrani, “Understanding the transformation process success factors in enterprise system implementations: An IT professional’s perspective,” Int. J. Hum. Cap. Inf. Technol. Prof., vol. 4, no. 1, pp. 9–21, 2013, doi: 10.4018/jhcitp.2013010102.

E. Soja and P. Soja, Exploring determinants of enterprise system adoption success in light of an ageing workforce, vol. 341. Springer International Publishing, 2019.

N. Grainger and J. McKay, “The long and winding road of enterprise system implementation: Finding success or failure?,” J. Inf. Technol. Teach. Cases, vol. 5, no. 2, pp. 92–101, 2015, doi: 10.1057/jittc.2015.11.

H. Ritchi and A. L. Debora, “On change management for enterprise accounting system: iterative content analysis for success factors,” J. Akunt. Audit. Indones., vol. 24, no. 2, pp. 119–129, 2020, doi: 10.20885/jaai.vol24.iss2.art5.


Article Metrics

Abstract view : 491 times
PDF - 203 times


  • There are currently no refbacks.

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