2021
DOI: 10.1108/tqm-12-2020-0285
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A systematic and network-based analysis of data-driven quality management in supply chains and proposed future research directions

Abstract: PurposeThis work aims to review past and present articles about data-driven quality management (DDQM) in supply chains (SCs). The motive behind the review is to identify associated literature gaps and to provide a future research direction in the field of DDQM in SCs.Design/methodology/approachA systematic literature review was done in the field of DDQM in SCs. SCOPUS database was chosen to collect articles in the selected field and then an SLR methodology has been followed to review the selected articles. The… Show more

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Cited by 14 publications
(10 citation statements)
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“…Firstly, we searched all possible combinations among quality-related terminologies and agriculture- and SC-related keywords in the Scopus and Web of Science databases, the most comprehensive and commonly used databases in recent reviews (Ahi and Searcy, 2013; Jia et al , 2017; Yang et al , 2019). The keywords about quality management were chosen based on previous literature reviews on similar topics (Agrawal et al , 2021; Yoo and Cheong, 2018; Aramyan et al , 2007). Furthermore, the keywords related to the agri-food SC were chosen based on Yang et al (2019) and Luo et al (2018).…”
Section: Research Approach and Descriptive Analysismentioning
confidence: 99%
“…Firstly, we searched all possible combinations among quality-related terminologies and agriculture- and SC-related keywords in the Scopus and Web of Science databases, the most comprehensive and commonly used databases in recent reviews (Ahi and Searcy, 2013; Jia et al , 2017; Yang et al , 2019). The keywords about quality management were chosen based on previous literature reviews on similar topics (Agrawal et al , 2021; Yoo and Cheong, 2018; Aramyan et al , 2007). Furthermore, the keywords related to the agri-food SC were chosen based on Yang et al (2019) and Luo et al (2018).…”
Section: Research Approach and Descriptive Analysismentioning
confidence: 99%
“…Case studies on "urban metabolism" and "industrial symbiosis" with a positive impact on climate change are scarcer. The synergy of these themes offers a new holistic approach to support a new circular urban system aligned with the development of smart circular supply chains beyond the local context [54] that can be enhanced by manufacturing with the implementation of digital technologies [55][56][57][58].…”
Section: Research Lines Knowledge Gaps and Prospectsmentioning
confidence: 99%
“…The goal of Agrawal et al [40] was to systematically analyze papers on data-driven quality management in SCs. The findings show that implementing data-driven technology and quality management systems may aid strategic decision making and improve the performance of supply chain operations and networks.…”
Section: Supply Chain Management and Quality Managementmentioning
confidence: 99%