Expert Knowledge, Ambidexterity, and is in Automotive Industry Engineering Projects (AIEP): Overview of a Post Clinical Research
This paper introduces a new form of ambidexterity in IS projects, drawing from the falsification of a clinical research conducted in an automotive engineering company, focusing on process reengineering and ERP implementation. It bridges clinical research (1997-2001) with expert insights (2002-2021). Addressing a gap in IS project literature, particularly within Automotive Industry Engineering Projects (PAUTs), the study highlights that exploration-exploitation strategies may become dysfunctional in turbulent, cyclical environments. The article criticizes the short-sighted results of ERP strategies applied to simple automotive projects, and encourages better dialogue between practitioners and decision-makers, with a view to resourcing the IS in line with business cycles.
Authors
- Silvester Ivanaj (ORCID: https://orcid.org/0000-0001-7412-6640)
- Wilfrid Azan (ORCID: https://orcid.org/0000-0001-6457-8977)
- Olivier Rolland (ORCID: https://orcid.org/0000-0002-7403-337X)
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Centre National de la Recherche Scientifique (FR)
- Institut National des Sciences Appliquées de Toulouse (FR)
- France Business School (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Conception de l'Action en Situation (FR)
- Centre Européen de Recherche en Economie Financière et Gestion des Entreprises
- ICN Business School
Publication Details
- Journal
- Management international
- Published
- 2024-11-26
- DOI
- https://doi.org/10.59876/a-erzs-x2kg
- Citations
- 1
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.53