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Decision-making approaches in process innovations: an explorative case study
Mälardalens Högskola Campus Eskilstuna, Eskilstuna, Sweden.
Mälardalens University Eskilstuna Campus, Eskilstuna, Sweden.
KTH Royal Institute of Technology, Stockholm, Sweden.
Jönköping University, School of Engineering.ORCID iD: 0000-0003-4308-2678
2021 (English)In: Journal of Manufacturing Technology Management, ISSN 1741-038X, E-ISSN 1758-7786, Vol. 32, no 9, p. 1-25Article in journal (Refereed) Published
Abstract [en]

Purpose

The purpose of this paper is to explore the selection of decision-making approaches at manufacturing companies when implementing process innovations.

Design/methodology/approach

This study reviews the current understanding of decision structuredness for determining a decision-making approach and conducts a case study based on an interactive research approach at a global manufacturer.

Findings

The findings show the correspondence of intuitive, normative and combined intuitive and normative decision-making approaches in relation to varying degrees of equivocality and analyzability. Accordingly, the conditions for determining a decision-making choice when implementing process innovations are revealed.

Research limitations/implications

This study contributes to increased understanding of the combined use of intuitive and normative decision making in production system design.

Practical implications

Empirical data are drawn from two projects in the heavy-vehicle industry. The study describes decisions, from start to finish, and the corresponding decision-making approaches when implementing process innovations. These findings are of value to staff responsible for the design of production systems.

Originality/value

Unlike prior conceptual studies, this study considers normative, intuitive and combined intuitive and normative decision making. In addition, this study extends the current understanding of decision structuredness and discloses the correspondence of decision-making approaches to varying degrees of equivocality and analyzability.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2021. Vol. 32, no 9, p. 1-25
Keywords [en]
Uncertainty, Decision making, Process innovation, Case studies, Production systems, Manufacturing industry
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-47587DOI: 10.1108/JMTM-03-2019-0087ISI: 000506697800001Scopus ID: 2-s2.0-85077979443Local ID: HOA;;1389251OAI: oai:DiVA.org:hj-47587DiVA, id: diva2:1389251
Available from: 2020-01-29 Created: 2020-01-29 Last updated: 2021-12-20Bibliographically approved

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