Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1762
Title: Business Process Redesign: A Systematic Review of Evaluation Approaches
Authors: Tsakalidis, George
Vergidis, Kostas
Type: Article
Subjects: FRASCATI::Social sciences::Economics and Business::Business and Management
FRASCATI::Natural sciences::Computer and information sciences
Keywords: Business process redesign
Redesign evaluation
Systematic literature review
Quality evaluation
Issue Date: 2023
Source: Decision Making: Applications in Management and Engineering
Volume: 7
Issue: 1
First Page: 79
Last Page: 98
Abstract: The continuous and systematic redesign of key business processes is very important for businesses and organizations that seek to achieve cost savings and efficiency enhancements. Selecting the most impactful processes and ensuring a successful redesign initiative remains an important topic that motivated the authors to conduct a Systematic Literature Review (SLR) on Business Process Redesign (BPR) Evaluation methodologies by applying an established eight-step SLR guide. The review sheds light on the current state of research and highlights the research gap by considering two dimensions of BPR artifacts: (a) the type of evaluation and (b) the generalizability of the existing approaches. The findings indicate that there is a lack of systematic methodologies in literature that properly evaluate the redesign capacity of models prior to implementation. Additionally, the existing methodologies do not cumulatively evaluate the quality characteristics that are necessary for BPR implementation or the applicability of BPR heuristics, and do not bear the generalizability to be readily used in a more general context. This paper aims to provide researchers with the necessary context and motivation to bridge this gap and further systematize BPR methodologies that can preselect the most suitable business processes for redesign.
URI: https://doi.org/10.31181/dmame712024889
https://ruomo.lib.uom.gr/handle/7000/1762
ISSN: 2560-6018
2620-0104
Other Identifiers: 10.31181/dmame712024889
Appears in Collections:Department of Applied Informatics

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