Abstract

Autonomous driving is undoubtedly one of the most strategically relevant and financially promising developing industries. The requirements for autonomous driving systems’ reliability are dramatically higher than in the driver-based car industry. This study explores a model to identify the structure and evaluate the critical success factors (CSFs) of total quality management (TQM) in the autonomous driving industry. Fifteen CSFs are defined according to the expected ecosystem of autonomous driving. VDA and IATF 16,949 quality systems are used as starting points for deriving the CSFs for an autonomous driving TQM system (AD-TQM). The CSFs are integrated into a framework to reveal their effects and interdependencies. The framework is qualitatively empirically tested and designed to be employed as a model for future (quantitative empirical) research.

Details

Title
Critical success factors of total quality management in autonomous driving business models
Author
Wang, Zinan 1   VIAFID ORCID Logo  ; Meckl, Reinhard 1 

1  International Management, University Bayreuth, Bayreuth, Germany 
Publication year
2020
Publication date
Jan 2020
Publisher
Taylor & Francis Ltd.
e-ISSN
23311916
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1080/23311916.2020.1767018
ProQuest document ID
2488058148
Copyright
© 2020 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.