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Article
Publication date: 30 July 2020

Ahmad Azwan Ahmad Shukor, Md. Shah Newaz, Muhammad Khalilur Rahman and Azni Zarina Taha

This study investigates the impact of environmental uncertainty and organizational ambidexterity on supply chain integration and its relationship between supply chain agility and…

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Abstract

Purpose

This study investigates the impact of environmental uncertainty and organizational ambidexterity on supply chain integration and its relationship between supply chain agility and organizational flexibility in the manufacturing firms.

Design/methodology/approach

The data were collected from 526 managers in services and manufacturing industry in Kuala Lumpur. The partial least square (SmartPLS 3.0) tool was applied through the use of the structural equation modeling (SEM) technique.

Findings

The results revealed that a strong relationship exist between environmental uncertainty and supply chain integrations including customer, supplier and internal integration. Organizational ambidexterity has a significant relationship with supply chain integration. Supply chain integrations were shown to have a positive impact on the firm's supply chain agility and organizational flexibility.

Originality/value

The findings may assist to establish a set of key drivers for enhancing supply chain agility and organizational flexibility as a supply chain management initiative in the manufacturing and service industry.

Details

International Journal of Emerging Markets, vol. 16 no. 8
Type: Research Article
ISSN: 1746-8809

Keywords

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Article
Publication date: 29 March 2023

Sanjeev Yadav, Sunil Luthra, Anil Kumar, Rohit Agrawal and Guilherme F. Frederico

This study aims to explore the mediating role of digital technologies-based supply chain integrating (SCI) strategies on the agri-supply chain performance (SCP) and firm…

1102

Abstract

Purpose

This study aims to explore the mediating role of digital technologies-based supply chain integrating (SCI) strategies on the agri-supply chain performance (SCP) and firm performance (FP). This research has introduced recently emerged digital technologies such as Internet of Things (IoT). Further, based on theoretical support and an extensive literature review, this research has proposed some hypotheses, which have been quantitatively validated for their significance.

Design/methodology/approach

A conceptual model was formulated based on an extensive literature review. Data for this research were gathered from a survey completed by 119 respondents from different departments of agri-firms. Further, partial least square (PLS)-based structured equation modelling (SEM) was used to test the proposed hypothetical model.

Findings

The results confirm that IoT-based digital technologies and supply chain processes (organization integration [OI], information sharing and customer integration [CI]) have a significant positive correlation. Furthermore, supply chain practices are positively associated with SCP. Finally, it has been found that FP is positively impacted by SCP.

Research limitations/implications

This research is used to analyse the mediating impacts of digital supply chain processes as a linking strategy for SCP and FP. For practical purposes, this research provides investment decisions for implementing digital technologies in SC strategies. The findings have proposed implications for managers and practitioners in agri-firms based on existing theories: contingency theory (CT) and relational view theory. Also, this study suggests the deployment of smarter electronically based tags and readers, which improve the data analytics capabilities based on auto-captured data. Thus, the availability of quality information improves the data-driven decisional capabilities of managers at company level.

Originality/value

This is a unique and original study exploring the relationship between digitalization, resilient agri-food supply chain (AFSC) management practices and firm performance. This research may be extended to other industries in view of the results from SCP and impact of digitalization.

Details

Journal of Enterprise Information Management, vol. 37 no. 2
Type: Research Article
ISSN: 1741-0398

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