Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications

By Sachin S. Kamble, Angappa Gunasekaran, Shradha Gawankar. 2019

862 citations recorded by the source corpus.

Abstract The lack of industrialization, inadequacy of the management, information inaccuracy, and inefficient supply chains are the significant issues in an agri-food supply chain. The proposed solutions to overcome these challenges should not only consider the way the food is produced but also take care of societal, environmental and economic concerns. There has been increasing use of emerging technologies in the agriculture supply chains. The internet of things, the blockchain, and big data technologies are potential enablers of sustainable agriculture supply chains. These technologies are driving the agricultural supply chain towards a digital supply chain environment that is data-driven. Realizing the significance of a data-driven sustainable agriculture supply chain we extracted and reviewed 84 academic journals from 2000 to 2017. The primary purpose of the review was to understand the level of analytics used (descriptive, predictive and prescriptive), sustainable agriculture supply chain objectives attained (social, environmental and economic), the supply chain processes from where the data is collected, and the supply chain resources deployed for the same. Based on the results of the review, we propose an application framework for the practitioners involved in the agri-food supply chain that identifies the supply chain visibility and supply chain resources as the main driving force for developing data analytics capability and achieving the sustainable performance. The framework will guide the practitioners to plan their investments to build a robust data-driven agri-food supply chain. Finally, we outline the future research directions and limitations of our study.

Subfields: Food Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/f15feac99bd55f8166c753599fdb806258aacb07

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Citations in the corpus

When Blockchain Meets Supply Chain: A Systematic Literature Review on Current Development and Potential Applications (2020, background): “Joint participation of supply chain actors can enhance the overall performance of a blockchain ecosystem [106], [107].”
The adoption of digital technologies in supply chains: Drivers, process and impact (2021, background): “(Zhu et al., 2006; Boone et al., 2017; Moretto et al., 2017; Garcia-Muiña et al., 2018; Pishdar et al., 2018; Kamble et al., 2019) External drivers”
A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation (2020, methodology): “Similar sample sizes were used in the previous studies that empirically tested the effects of Industry 4.0 technologies on an organisational performance involving around 100 measurement items (Tortorella et al., 2020; Kamble et al., 2020c).”
Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms (2021, background): “Besides, the literature also reveals the positive effect of Big Data Analysis (BDA) on the sustainable supply chain (SSC) performance comprising the dimensions of economic, social, and environment (Belhadi et al. 2020; Kamble, Gunasekaran, and Gawankar 2020).”
The role of digital innovation in knowledge management systems: A systematic literature review (2021, background): “El-Kassar and Singh (2019) also spoke of “ green innovation ” as a catalyst for beneficial practices, using all tangible and intangible resources for the firm and the external environment (Kamble et al., 2020; Rothberg & Erickson, 2017).”