What guides information consensus Approaching the reduction of equivocality in process innovations | Zendy

Erik Flores-García | Zendy; Jessica Bruch | Zendy; Magnus Wiktorsson | Zendy; Mats Jackson | Zendy

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What guides information consensus Approaching the reduction of equivocality in process innovations

Author(s) -

Erik Flores-García,

Jessica Bruch,

Magnus Wiktorsson,

Mats Jackson

Publication year - 2020

Publication title -

international journal of manufacturing research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.267

H-Index - 19

eISSN - 1750-0605

pISSN - 1750-0591

DOI - 10.1504/ijmr.2020.105488

Subject(s) - process (computing) , process management , set (abstract data type) , reduction (mathematics) , knowledge management , work (physics) , computer science , event (particle physics) , engineering , mathematics , geometry , quantum mechanics , mechanical engineering , physics , programming language , operating system

This study investigates the achievement of information consensus and the reduction of equivocality in process innovations. Drawing on the operations management literature, a new framework to guide information consensus in the reduction of equivocality in process innovations is proposed. The analysis is based on a real-time case study in the heavy vehicle industry. The results show that information consensus is not achieved by a single event, but active work towards this goal is necessary, and a clear set of pre-requisites is needed for achieving information consensus. The concepts of strategic objective, decision areas, and external and internal fit are identified as pre-requisites for achieving information consensus about the purpose, characteristics, and functionalities of process innovations. [Submitted 28 February 2018; Accepted 18 March 2019]

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