scholarly journals Automated Knowledge Acquisition Framework for Supply Chain Management based on Hybridization of Case based Reasoning and Intelligent Agent

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Mohammad Zayed Almuiet ◽  
Maryam Mohamad
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Knowledge Acquisition ◽  
Intelligent Agent ◽  
Case Based Reasoning ◽  
Chain Management ◽  
Automated Knowledge ◽  
Case Based

Can you grow your supply chain without skills? The role of human resource management for better supply chain management in Latin America

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andrea Stefano Patrucco ◽  
Liliana Rivera ◽  
Christopher Mejía-Argueta ◽  
Yossi Sheffi
Keyword(s):  
Job Satisfaction ◽  
Latin America ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Resource Management ◽  
Human Resource Management ◽  
Knowledge Acquisition ◽  
Human Resource ◽  
Chain Management ◽  
Content Type

PurposeIn line with the knowledge-based view of organizations, this paper aims to analyze how supply chain (SC) employees contribute to the creation of competitive advantage through knowledge acquisition and utilization activities. The authors consider SC employees' skills and competencies, their external network of relationships, their job satisfaction and company investments in training and test how they relate to SC-level outcomes (i.e. SC growth).Design/methodology/approachThe authors design a research model including the aforementioned variables, and the authors apply structural equation modeling (SEM) to survey data collected from 246 SC professionals in Latin America. The authors also use multi-group analysis to evaluate how the relationships between these variables change with different levels of company investment in training.FindingsThe results show that a broad professional network of relationships contributes to increasing the skills and competencies of SC professionals, which, in turn, impact job satisfaction and SC performance. This reinforces the value of investing in skilled human talent, who can contribute to knowledge acquisition, utilization, and, ultimately, to SC competitiveness. Companies that invest more in training to develop their SC employees benefit from stronger SC outcomes.Originality/valueThis study contributes to broadening the understanding of the impact of human resource management (HRM) on supply chain management (SCM). One of the added original foci of this research is the emphasis on developing countries where these HRM-to-SCM performance relationships have not been studied before.

Artificial Intelligence in the Supply Chain

2020 ◽  
Author(s):  
Alexandra Brintrup
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Intelligent Agent ◽  
Use Cases ◽  
Conceptual Frameworks ◽  
Chain Management ◽  
Industrial Use

While artificial intelligence (AI) in supply chains (SC) has become a popular topic, there is a distinct lack of conceptual frameworks with which to categorize and review how various subtopics of AI can help in subfields of supply chain management. To address this gap, this chapter conceptualizes the new topic of SC AI through a human-mimicking intelligent agent that exhibits “smart” SC behavior. It then develops several SC AI capability blocks for the intelligent agent and reviews and synthesizes studies to date within these capability blocks. The chapter concludes by highlighting several industrial use cases and extant challenges reported in the literature that need to be tackled to move this exciting new field forward.

Intelligent agent technology: what affects its adoption in hotel food supply chain management?

2019 ◽  
Vol 10 (3) ◽  
pp. 286-310
Author(s):  
Omar Alsetoohy ◽  
Baker Ayoun ◽  
Saleh Arous ◽  
Farida Megahed ◽  
Gihan Nabil
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Supply ◽  
Positive Impact ◽  
Intelligent Agent ◽  
Agent Technology ◽  
Food Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Hotel Managers

Purpose The study adopted a conceptualized technological, organizational and environmental (TOE) model to empirically investigate the factors affecting hotel managers’ attitudes toward intelligent agent technology (IAT) adoption in the hotel food supply chain management (HFSCM) and their intentions for future adoption. Design/methodology/approach In-person survey was carried out in luxury hotels in Florida. Findings The findings indicated that merely 5.7 per cent of hotels are fully implementing IAT. Perceived benefits, reliability, quality of human resources, information intensity and market capabilities had a statistically significant positive impact on hotel managers’ attitudes. However, complexity and cost had a negative influence on hotel managers’ attitudes toward IAT adoption in the HFSCM. Managers’ attitude further positively influences their intention to adopt. Practical implications The validated model helps guide hotel decision makers who are considering IAT adoption in the HFSCM. Hotels that are seeking sources for competitive advantages would better consider the TOE factors in IAT adoption prior to making a decision. Originality/value This is the first study that examined IAT adoption in the hotel industry from a theoretical and empirical perspective. The validated model proposed for the adoption of IAT in HFSCM enriched the TOE model and the diffusion of innovations theory.

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