A collaborative data-driven analytics of material resource management in smart supply chain by using a hybrid Industry 3.5 strategy

2021 ◽  
Vol 164 ◽  
pp. 105160
Author(s):  
Tsai-Chi Kuo ◽  
Kuan Jui Chen ◽  
Wei-Jung Shiang ◽  
PoTsang B. Huang ◽  
Wilkistar Otieno ◽  
...  
Keyword(s):  
Supply Chain ◽  
Resource Management ◽  
Data Driven ◽  
Material Resource

The effect of high-involvement human resource management practices on supply chain integration

2015 ◽  
Vol 45 (8) ◽  
pp. 716-746 ◽  
Author(s):  
Baofeng Huo ◽  
Zhaojun Han ◽  
Haozhe Chen ◽  
Xiande Zhao
Keyword(s):  
Supply Chain ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Estimation Method ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
High Involvement ◽  
Content Type ◽  
Hrm Practices

Purpose – Taking an interdisciplinary approach, the purpose of this paper is to combine concepts from human resource management (HRM) and supply chain management (SCM) fields and explore the effects of high-involvement HRM practices on supply chain integration (SCI). Design/methodology/approach – Using empirical survey data collected from ten countries, the authors examine the specific effects of three dimensions of high-involvement HRM practices – employee skills, incentives and participation – on three types of SCI – internal integration, supplier and customer integration. The authors use structural equation modeling and the maximum-likelihood estimation method to test the proposed relationships. Findings – The results confirm the overall relevancy of HRM to SCI. However, several proposed links are not supported by the data collected. Originality/value – This study makes both theoretical and managerial contributions by empirically examining the interface between HRM and SCI. More specifically, it examines the effects of different high-involvement HRM practices on different types of SCI. The findings will not only help researchers to better understand the interface, but will also guide managers in adjusting HRM practices to achieve desired operational goals.

Big data-driven supply chain and performance: a resource-based view

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shampy Kamboj ◽  
Shruti Rana
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Small And Medium Enterprises ◽  
Data Driven ◽  
Equation Modeling ◽  
Firm Age ◽  
Content Type ◽  
Sustainable Performance ◽  
Medium Enterprises

PurposeThe main objective of this paper is to study the role of supply chain performance (SCP) as a mediator between big data-driven supply chain (BDDSC) and firm sustainable performance. In addition, the role of firm age as a moderator between BDDSC and SCP as well as between SCP and firm sustainable performance has also been explored.Design/methodology/approachThe 200 managers of medium or senior level positions in micro, small and medium enterprises (MSMEs) located at Delhi-NCR have been contacted. Further, collected data have been confirmed with confirmatory factor analysis (CFA). In this paper, structure equation modeling (SEM) has been employed to empirically check the proposed hypotheses and their relationships.FindingsThe findings confirmed that SCP mediates the link between BDDSC and firm sustainable performance. Additionally, firm age moderates the association between BDDSC and SCP as well as between SCP and firm sustainable performance.Research limitations/implicationsThe role of SCP and firm age between BDDSC and sustainable performance have been examined in the context of MSMEs in Delhi-NCR and thereby limit the generalization of results to other industries and country contexts.Originality/valueThe present study adds to the existing literature via recognizing the blackbox using SCP and firm age to comprehend BDDSC and firm sustainable performance relationship.

Reinforcing the significance of human factor in achieving quality performance in data-driven supply chain management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanjana Mondal ◽  
Kaushik Samaddar
Keyword(s):  
Supply Chain ◽  
Organizational Performance ◽  
Industry 4.0 ◽  
Management Practices ◽  
Human Factor ◽  
Research Work ◽  
Data Driven ◽  
Theory Approach ◽  
Quality Performance ◽  
Content Type

PurposeThe paper aims to explore the various dimensions of human factor relevant for integrating data-driven supply chain quality management practices (DDSCQMPs) with organizational performance. Keeping the transition phase from “Industry 4.0” to “Industry 5.0” in mind, the paper reinforces the role of the human factor and critically discusses the issues and challenges in the present organizational setup.Design/methodology/approachFollowing the grounded theory approach, the study arranged in-depth interviews and focus group sessions with industry experts from various service-oriented firms in India. Dimensions of human factor identified from there were grouped together through a morphological analysis (MA), and interlinkages between them were explored through a cross-consistency matrix.FindingsThis research work identified 20 critical dimensions of human factor and have grouped them under five important categories, namely, cohesive force, motivating force, regulating force, supporting force and functional force that drive quality performance in the supply chain domain.Originality/valueIn line with the requirements of the present “Industry 4.0” and the forthcoming “Industry 5.0”, where the need to collaborate human factor with smart system gets priority, the paper made a novel attempt in presenting the critical human factors and categorizing them under important driving forces. The research also contributed in linking DDSCQMPs with organizational performance. The proposed framework can guide the future researchers in expanding the theoretical constructs through initiating further cross-cultural studies across industries.

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.

Supply resource management: Salomon and his network of subcontractors in Romania

2017 ◽  
Vol 33 (2) ◽  
pp. 4-6
Author(s):  
Richard Calvi
Keyword(s):  
Supply Chain ◽  
Resource Management ◽  
Competitive Advantage ◽  
Strategic Decisions ◽  
Content Type ◽  
External Resources ◽  
Internal Resources ◽  
The One ◽  
Practical Implications

Purpose According to Christopher (2000), in a lot of sectors, the competition is a question of supply chain against supply chain. The winner in term of competitive advantage should be the one, who is able to obtain more than the competitor from the available resources. In strategic literature, Dyer and Singh (1998) are the first who introduced the concept of “relational competency” to explain why some companies gain their competitive advantage not directly from their internal resources but mainly because they are able better to combine external resources. Design/methodology/approach This paper is a case study. Findings The author describes the different phases and strategic decisions in the building of a real supplier eco-system. Research limitations/implications It is a sole case study. Practical implications This study is a description of a success story. Originality/value This study is a description of an external resource management in action.

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