Measurement in business processes: a systematic review
Author:
Sánchez González Laura,García Rubio Félix,Ruiz González Francisco,Piattini Velthuis Mario
Abstract
PurposeThe purpose of this paper is to analyze the current state of the art and trends with regard to business process measurement by means of a systematic review of literature.Design/methodology/approachThe results are obtained through a systematic review carried out according to existing relevant guidelines. Additionally, a specific methodology through which to systematically obtain all the most important journals is followed. In total, 19 relevant articles are selected and later analyzed. A subsequent critical analysis of the data obtained is applied to identify the gaps in the current literature.FindingsA considerable effort has been made by researchers in the field of business process measurement, particularly in recent years. Many of the defined measures for business processes have been applied to models (approximately 77 per cent). Most of the initiatives concerning business measurement have been adapted from the software engineering field. A small percentage of the existing business process measures has been empirically validated.Originality/valueThe results presented contribute towards providing an updated overview of the current state of research into business process measurement, in order to identify existing research gaps and concerns on which ongoing and future research efforts on this topic can be focused.
Subject
Business, Management and Accounting (miscellaneous),Business and International Management
Reference43 articles.
1. Aversano, L., Bodhuin, T., Canfora, G. and Tortorella, M. (2004), “A framework for measuring business processes based on GQM”, Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) – Track 1, IEEE Computer Society, Washington, DC, p. 10012.1. 2. Biolchini, J.C., Gomes, P., Cruz, A.C. and Horta, G. (2005), “Systematic review in software engineering”, Technical Report RT‐ES 679/05, Systems Engineering and Computer Science Department, COPPE/UFRJ, Rio de Janeiro. 3. Biolchini, J.C., Mian, P.G., Cruz, A.C., Conte, T.U. and Horta, G. (2007), “Scientific research ontology to support systematic review in software engineering”, Adv. Eng. Inform., Vol. 21 No. 2, pp. 133‐51. 4. Briand, L.C., El Eman, K. and Morasca, E.S. (1995), “Theoretical and empirical validation of software product measures”, Technical Report ISERN‐95‐03, International Software Engineering Research Network, Kaiserslautern. 5. Briand, L.C., Morasca, E.S. and Basili, V.R. (1996), “Property‐based software engineering measurement”, IEEE Transactions on Software Engineering, Vol. 22 No. 1, pp. 68‐86.
Cited by
91 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|