INPUT DATA COLLECTION FOR THE FIT-GAP ANALYSIS METHOD: A LITERATURE REVIEW
DOI:
https://doi.org/10.17770/etr2019vol2.4160Keywords:
Fit Gap analysis method, ERP systems, Input dataAbstract
Development of Enterprise Resource Planning (ERP) systems has become an independent industry for the improvement of information systems. It can be stated that ERP systems are designed to support the operation of a company. The fundamental objective of the system is to create a business value that aims at reducing the time and costs of the business while increasing the profit of the company. Although the adaptation and deployment of the ERP system, in general, are complex and protracted processes that require a lot of resources, the obtained results sometimes differ from the expected results of users. Mostly for that reason, there are incomplete internal enterprise business processes and software requirements analysis and development. Therefore, there is a need to determine the compliance of the main enterprise requirements and business processes with the ERP system. To choose the most appropriate ERP system, it is necessary to identify all possible methods of input data for the fit-gap analysis method. Thus, the main aim of the present study is to identify possible input data for the fit-gap analysis method, which can be used for the selection of the most appropriate ERP system.Downloads
References
N. Kountouridou, P. Antoniou, and I. Stamelos, “A Comprehensive Approach for Implementing an Open Source ERP in a Greek Industry,” in Proceedings of the 20th Pan-Hellenic Conference on Informatics - PCI ’16, 2016, pp. 1–5.
M. Nöbauer, N. Seyff, N. Maiden, and K. Zachos, “S 3 C : Using Service Discovery to Support Requirements Elicitation in the ERP Domain,” pp. 18–32, 2011.
T. Chandrakumar and S. Parthasarathy, “An approach to estimate the size of ERP package using package points,” Comput. Stand. Interfaces, vol. 47, pp. 100–107, 2016.
D. Pajk and A. Kovacic, “Fit Gap Analysis – The Role of Business Process Reference Models,” Econ. Bus. Rev., vol. 15, no. 4, pp. 319–338, 2013.
B. K. Muslmani, S. Kazakzeh, E. Ayoubi, and S. Aljawarneh, “Reducing Integration Complexity of Cloud-based ERP Systems,” in Proceedings of the First International Conference on Data Science, E-learning and Information Systems, 2018, p. 37:1--37:6.
A. Skoogh, T. Perera, and B. Johansson, “Input data management in simulation - Industrial practices and future trends,” Simul. Model. Pract. Theory, vol. 29, pp. 181–192, 2012.
L. Shaul and D. Tauber, “Critical success factors in enterprise resource planning systems,” ACM Comput. Surv., vol. 45, no. 4, pp. 1–39, 2013.
E. Hustad, M. Haddara, and B. Kalvenes, “ERP and organizational misfits: An ERP customization journey,” Procedia Comput. Sci., vol. 100, no. 1877, pp. 429–439, 2016.
Panorama Consulting Solutions, “2015 Erp Report,” Panor. Consult. Solut., pp. 1–19, 2015.
J. Nugra, M. Wiyarta, and Y. Kurniawan, “The Evaluation of Inventory Management Module of Enterprise Resource Planning System (A Case Study Approach),” in Proceedings of the 2018 International Conference on Internet and e-Business - ICIEB ’18, 2018, pp. 79–83.
G. Juntao and Z. Li, “Detecting gaps between ERP software and organizational needs: A semantic similarity based approach,” in Proceedings - 1st IEEE International Workshop on Semantic Computing and Systems, WSCS 2008, 2008, pp. 21–26.
M. Haddara, “ERP systems selection in multinational enterprises: A practical guide,” Int. J. Inf. Syst. Proj. Manag., vol. 6, no. 1, pp. 43–57, 2018.
J. Grabis, “Optimization of Gaps resolution strategy in implementation of ERP systems,” in Proceedings of 21st International Conference on Enterprise Information Systems (ICEIS 2019), 2019, p. To appear.
I. Ancveire, “Fit Gap Analysis Methods for ERP Systems,” 2018 IEEE 12th Int. Symp. Appl. Comput. Intell. Informatics, pp. 161–166, 2018.
T. Shiang-yen, “A Framework for Classifying Misfits Between Enterprise Resource Planning (ERP) Systems,” Asian Acad. Manag. J., vol. 16, no. 2, pp. 53–75, 2011.
S. Parthasarathy and M. Daneva, “An approach to estimation of degree of customization for ERP projects using prioritized requirements,” J. Syst. Softw., vol. 117, pp. 471–487, 2016.
P. A. Millet, “Toward a model-driven, alignment-oriented ERP methodology,” Comput. Ind., vol. 64, no. 4, pp. 402–411, 2013.
H. Sun, W. Ni, and R. Lam, “A step-by-step performance assessment and improvement method for ERP implementation: Action case studies in Chinese companies,” Comput. Ind., vol. 68, pp. 40–52, 2015.
J. H. Wu, S. S. Shin, and M. S. H. Heng, “A methodology for ERP misfit analysis,” Inf. Manag., vol. 44, no. 8, pp. 666–680, 2007.
M. Nöbauer et al., “Managing variability of ERP ecosystems: Research issues and solution ideas from microsoft dynamics AX,” ACM Int. Conf. Proceeding Ser. (VaMoS ’12), pp. 21–26, 2012.
R. Agarwal, A. R. Raha, and B. Ghosh, “Our experience and learning in ERP implementation,” ACM SIGSOFT Softw. Eng. Notes, vol. 25, no. 2, pp. 31–34, 2000.
T. R. Gulledge, “Erp Gap-Fit Analysis From a Business Process Orientation,” Int. J. Serv. Stand., vol. 2, no. 4, pp. 339–348, 2006.
I. Syamsuddin, “Novel gap analysis framework for cloud health information systems,” J. Theor. Appl. Inf. Technol., vol. 87, no. 3, pp. 415–421, 2016.
