Knowledge-based simulation and analysis of supply chain performance

Purpose Existing supply chain (SC) performance models are not able to cope with the potential of intensive SC digitalisation and establish a relationship between decisions and decision criteria. The purpose of this paper is to develop an integrated knowledge-based system (KBS) that creates a link between decisions and decision criteria (attributes) and evaluates the overall SC performance. Design/methodology/approach The proposed KBS is grounded on the fuzzy analytic hierarchy process (fuzzy AHP), which establishes a relationship between short-term and long-term decisions and SC performance criteria (short-term and long-term) for accurate and integrated Overall SC performance evaluation. Findings The proposed KBS evaluates the overall SC performance, establishes a relationship between decisions (long-term and short-term) and decision criteria of SC functions and provides decision makers with a view of the impact of their short-term or long-term decisions on overall SC performance. The proposed system was implemented in a case company where the authors were able to develop a SC performance monitoring dashboard for the company’s top managers and operational managers. Practical implications The proposed KBS assists organisations and decision makers in evaluating their overall SC performance and helps in identifying underperforming SC functions and their associated criteria. It may also be considered as a tool for benchmarking SC performance against competitors. It can efficiently point to improvement directions and help decision makers improve overall SC performance. Originality/value The proposed KBS provides a holistic and integrated approach, establishes a relationship between decisions and decision criteria and evaluates overall SC performance, which is one of the main limitations in existing supply chain performance measurement systems.

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From cultural intelligence to supply chain performance

The International Journal of Logistics Management ◽

10.1108/ijlm-01-2014-0009 ◽

2016 ◽

Vol 27 (1) ◽

pp. 95-121 ◽

Cited By ~ 9

Author(s):

Luu Trong Tuan

Keyword(s):

Supply Chain ◽

Cultural Intelligence ◽

Supply Chain Performance ◽

Research Model ◽

Cross Sectional ◽

Content Type ◽

Four Dimensions ◽

Knowledge Based ◽

Corporate Social

Purpose – Cultural intelligence (CQ) has transcended its role of adaptation to local values toward narrowing the cultural gap between foreign stakeholders and local stakeholders in the supply chain. The purpose of this paper is to decipher the catalyzing role of CQ in its chain effect, through corporate social responsibility and trust, to supply chain performance and competitive intelligence (CI). Design/methodology/approach – The proof for the research model was derived from the SEM-based analysis of cross-sectional data provided by 392 respondents from MNCs in Vietnamese business landscape. Findings – Findings, from this inquiry, produce the evidence for the positive effect of all four dimensions of CQ (metacognitive, cognitive, motivational, and behavioral CQ) on ethical and legal CSR, as well as knowledge-based and identity-based trust, which leverage supply chain performance. The connectivity between supply chain performance and CI was also established. Originality/value – Supply chain literature, from this research model, has increased its breadth with the novel role of CQ and stakeholder-oriented levers such as CSR in heightening supply chain performance.

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