Adebanjo, Dotun ORCID: 0000-0003-4845-9411 , Samaranayake, Premaratne, Mafakheri, Fereshteh and Laosirihongthong, Tritos (2016) Prioritization of six-sigma project selection: A resource-based view and institutional norms perspective. Benchmarking: An International Journal, 23 (7). pp. 1983-2003. ISSN 1463-5771 (doi:https://doi.org/10.1108/BIJ-09-2015-0086)

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Abstract

Purpose – With increasing choice from a range of programs, improvement project selection within broader supply chain context and resource constraints has become a major research challenge. The purpose of this paper is to investigate the different criteria for selecting Six-Sigma (SS) projects based on previous studies. The study is supported by two grounded theories: resource-based view and institutional norms. The criteria include: first, business drivers for improvement and the common performance metrics deployed; second, the organization’s stakeholders needs; and third, process owner’s needs.

Design/methodology/approach – To determine the relative importance of influencing factors, opinions were collected from 30 experienced practitioners including SS champions/master black-belts, company directors, consultants, and process owners through a series of interviews in small, medium, and large organizations including multi-national organizations. The evaluation of criteria is based on analytical hierarchy process.

Findings – The results show that impact on customer, financial impacts, and impact on operational goals are the most significant factors in selecting SS improvement project.

Originality/value – This study is a first attempt to determine the relative weight among SS project selection criteria, which help the practitioner to allocate their limited resources in implementing SS project.

Item Type:	Article
Uncontrolled Keywords:	Six-Sigma (SS); Project Selection; Analytic Hierarchy Process (AHP); Resource based view; Institutional norms
Subjects:	H Social Sciences > HB Economic Theory
Faculty / School / Research Centre / Research Group:	Faculty of Business Faculty of Business > Department of Systems Management & Strategy Faculty of Business > Networks and Urban Systems Centre (NUSC) > Supply Chain Management Research Group
Last Modified:	29 May 2019 08:44
URI:	http://gala.gre.ac.uk/id/eprint/14132

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