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Due to wider acceptance of information technology (IT) and e-commerce among the consumers, firms belonging to agri businesses are rapidly redefining IT-driven stakeholders' centric completive strategy for their supply chain. This has forced the firms to understand the stakeholders' information needs and quality they expect from the electronic supply chains. Thus, the present study focusses on developing an information quality framework that ensures the success of stakeholders' centric e-agri supply chain. The study also attempts to investigate the interrelationship between formative endogenous latent variables, i.e. value of information (VoI), e-platform responsiveness (RESP), e-platform aesthetics (SAE), e-platform ease of use (EoU) and fulfillment of expectation (FoE) used in the developing the proposed framework.

Survey based data are obtained from 280 respondents using semistructured questionnaire to validate the proposed theoretical framework. The structural equation modeling is performed using IBM Statistical Product and Service Solutions (SPSS) 16.0 and Analysis of Moment Structures (AMOS) 24.0 package to establish structural model by accommodating determinants of information quality framework identified from extent literature. Confirmatory factor analysis (CFA) is employed to examine the robustness of manifesting variables that define the latent constructs. The robustness measuring items of constructs are also ensured through specified criteria of reliability, convergent validity and discriminant validity. At last the one-way ANOVA and post-hoc analysis are employed to investigate the stakeholders’ group difference on each study construct.

The results infer the impact RESP, VoI, SAE and EoU on the fulfillment of expectation (FoE). After applying the bootstrapping technique, it was observed that all causal relationships as proposed in hypotheses H1, H1a, H1b, H2, H3 and H4 have gained significant empirical support, thus verify the framework applicable to e-agri supply chain as the study outcome. Addition to this, SAE mediates relationship of RESP and VoI. The RESP and SAE have an indirect positive effect on “EoU.” Findings also suggest that the intermediaries expect better e-platform responsiveness and value of information from e-agri supply chain as compared to farmers and end consumers.

The findings of the study emphasized on the importance of five exogenous variables for e-agri supply chain in order to achieve stakeholders' expectation fulfillment on the information delivered through e-agri supply chain. The study is of great significance to the practitioners and management professionals by aiding strategic worth of market expansion by maximizing users' base by developing, deploying and facilitating a responsive and resilient stakeholders' centric e-agri supply chains. The study provides insights to the cross-domain researchers, firms, managers and policymakers to capture detailed and deeper understanding on the system design, stakeholders' behavior and in policy formulation so as to suggest remedial measures to strengthen the stakeholders' belief on relying e-agri supply chain.

The study considers the empirical model that shows the determinants and their relationship in the “information quality framework” as unique and novel contribution in the context of e-agri supply chain. The framework determines the quality and efficacious use of information that regulates the effectiveness of e-platform from stakeholders' perspective. The investigated constructs and their relationship depict their importance in creating systematic value chain of information across the supply chain.

The purpose of this paper is to make a fair attempt to craft a framework for the categorization of the literature linked to food supply chain management (FSCM) and to contribute toward doctoral food research. This will benefit researchers, academicians and corporates. The research is based on an analysis of research articles and research reports. The research articles were mainly extracted from Emerald and Science Direct (Elsevier) databases.

A total of 100 randomly selected peer-reviewed journal articles on FSCM from commercial databases such as Emerald and Science Direct (Elsevier) were systematically analyzed.

Relatively limited empirical-prescriptive research has been carried out in a food supply chain. The outcome is that the literature on the food supply chain is primarily focused on theoretical-descriptive research.

It is observed that limited research has been carried out on FSCM. Therefore, the authors have suggested a framework for the categorization of the literature linked to FSCM. This will facilitate future research in the area of FSCM.

This study explores the thematic relationships within the field of sustainability of agri-food chains oriented toward Industry 4.0, focusing on the analysis of scientific production, through research articles and technological output according to patents worldwide. Agri-food Industry 4.0 is an expanding interdisciplinary field in which science and technology interactions are increasingly intensifying with a strong link to sustainable development.

This study has used high impact indexed publications (Web of science) and patents as proxy indicators of innovation, which are transformed into two sets of data, reflecting the scientific and technical backgrounds, respectively. On the one hand, both quantitative and qualitative analysis methodologies were used to examine the scientific papers through descriptive analysis, focused on collaborations networks by authors, institutions, and countries, as well as a content analysis of keywords. On the other hand, the analysis of technical background on patent families shows the temporal evolution of technologies with future challenging trends, text mining, main applicants, and geographical examination.

The results show that in the field of sustainability in agri-food chains oriented to Industry 4.0, most research is in the agricultural field in scientific articles, with high impact in climate-smart agriculture. Patent analysis reveals a marked increase in the patenting rate from 2012 and 2013, coinciding with the start of scientific production in this field of knowledge. In spite of the fact that China is the leader country in this technological field, India shows a significant change. Moreover, India is a country that is currently showing significant progress, both in the field of scientific production and in its categorization as an innovative country due to its growth in patent filings.

This paper investigates how the channel leadership strategies develop a post-coronavirus disease (COVID-19) resilient agri-supply chain, which reduces supplier and retailer's price loss and enhances the logistics service quality level considering logistics outsourcing of agri-product especially for the rapidly changing market condition.

Based on the classical leadership theory, two channel leadership strategies, i.e. LPL and SL, are considered. The proposed framework first derives the equilibrium price and service quality level decision among the supplier, the logistics provider and the retailer. Then it compares both leadership strategies in terms of the equilibrium prices and service quality theoretically. This article also presents a case study of Arabian dates pricing and supply chain to test the theoretically derived propositions.

Selection of suitable leadership strategy is a critical factor for profit maximization of the supply chain drivers and proper optimization of equilibrium price and service quality. Here, the product's quality and the market's socio-economic condition play an important role in selecting a suitable leadership strategy. A random transformation of the physical market to an e-commerce portal creates a wide variation of the market's socio-economic parameters, affecting the equilibrium pricing and the logistics provider's service quality.

This study proposes a post-COVID-19 resilient agri-supply chain framework considering price and quality-dependent stochastic market demand, incorporating a wide range of socio-economic factors in the model to counteract the effect of rapid behavior change of agri-market due to COVID-19 norms. This research examines the effect of different channel leadership strategies to facilitate suitable decisions on prices and service quality and retrieve the profit of the supplier, retailer and logistics provider. The future models can incorporate competitiveness in logistics outsourcing, fourth-party logistics (4PL) and contract farming in the agri-supply chain. Each of the extensions can open avenues in different directions.

As the post-COVID-19 market and the customer behavior is randomly changing, and the traditional market is rapidly converting into supermarkets and e-commerce portals, this paper examines the model with a wide variety of e-commerce portals with multi-variation of product. It is conclusive that the product's quality and the market's socio-economic behavior significantly impact the equilibrium decision. The drivers of the supply chain must take them into account before choosing a particular channel leadership strategy.

This study considers a multi-product and multi-market (e-commerce) model by integrating a wide variety of products and the market's socio-economic parameters. The model is tested in a price and quality-dependent stochastic market condition, contributing to the literature by reconciling two different channel leadership strategies into the global logistics of fresh agri-product.

This study aims to formulate a conceptual sustainable framework for developing a trusted, reliable, scalable, transparent, traceable and sustainable agri-food supply chain in a developing country so that it minimizes wastage and increases the efficiency levels of agri-produce and its usage.

This study uses a rigorous review of extant literature, case studies and the interview method for theory building, using blockchain technology (BT) as a subject. Further, the study builds a framework to relate blockchain solutions to the challenges faced by the agri-supply chain. Notably, the use of BT in the agri-food supply chain is a relatively new area of study.

Limitations of using BT 3.0 in a diverse supply chain like the food sector, especially in a developing country such as India, may be overcome by adopting BT 4.0 and could change the country’s face by controlling inefficiencies and ensuring transparency, helping in good governance, improving the humanitarian supply chain and integrating the bottom of the pyramid to the main economy. Based on the findings, this study proposes BT 4.0 for the agri-supply chain in India to deal with the current issues of demand-supply gap, wastages of agri-produce, unequal distribution of profit among agriproduct producers and logistics suppliers and ensuring sustainability.

Results in this study have been derived from a specific demographic condition in India. Future research with other demographic conditions may be replicated. BT is a new technology product, and its effectiveness is yet to be established.

The outcome of this study provides the application of BT 4.0 in the area of the agri-food supply chain. The BT 4.0 framework has been developed on studying a few cases that either implemented BT or were in the testing phase. The benefits of the agri-food supply chain vis-à-vis its overall social well-being may be achieved on the successful implementation of the framework, despite existing complexities in the food supply chain. Further research on this subject may help the other dimensions of the complexity of adopting BT 4.0. Both practitioners and policymakers from developing countries can, therefore, use the findings of this study to analyze BT 4.0 and address the concerns of the agri-food supply chain.

This research paper has proposed a conceptual framework of BT 4.0, which is a completely new technology. It is fairly transparent, and therefore sustainable supply chain practices may be achieved easily.

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.

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.

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.

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.

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.

This study aims to explore the importance and impact of supply and manufacturing risk management upon business performance within the context of Chinese manufacturing supply chains.

A two-phased multi-method approach was adopted, which included a survey questionnaire to practitioners in Chinese manufacturing supply chains followed by semi-structured interviews. The findings included 103 valid survey responses complemented by six semi-structured interviews.

The results indicate that in Chinese manufacturing context supply risk and manufacturing risk management are both vital for business performance. A high correlation between business and manufacturing risk management performance exists; however, no significant impact of supplier dependency, systematic purchasing, maturity of production and supply chain and human resources was found despite previously these elements being regarded as key influencers for supply and manufacturing risk management performance. The Chinese manufacturing supply chain indicated that elements such as the supplier and customer orientation, flexibility, manufacturing and supply risk highly connotes with business performance.

In the current unpredictable and volatile business environment, the competitiveness of manufacturing supply chains to a large extent depend on their ability to identify, assess and manage the manufacturing and supply risks. The findings of this study will assist supply chain managers in taking decision on manufacturing and supply risk management and reducing the uncertainty upon their business performance.

The supply chain risk has been widely explored within the context of individual case studies, or standalone models focusing on either supply or manufacturing risk in supply chains; however, to what extent this has been applicable to a wider context and its impact upon business process has not been explored. Hence, this study simultaneously has analysed manufacturing risk and supply risk and its impact upon Chinese manufacturing supply chains business performance. Moreover, this study uses a combination of quantitative and qualitative methods, which is often limited in this area. Finally, the institutional theory lens offers novel insights in better understanding the factors that can affect the impact of supply and manufacturing risk management upon business performance in those contexts, such as China, where the institutional aspect presents specific features.

Based on a sample of 308 enterprises, this paper studies the determinants of export organic supply chain performance. The results indicate seven positive determinants that influence positively the supply chain performance, including: (i) need-satisfying ability (NSA), (ii) relationship management, (iii) information management, (iv) quality management, (v) coordination and cooperation mechanisms, (vi) operation management, and (vii) marketing strategy of the export organic supply chain. In contrast, the differentiated segmentation strategy and cost strategy have no impact on the export organic supply chain performance.

Kunvarji Group is on its way to transform from a commodity trading business to a service-driven business. To become an integrated service provider in the agri-supply chain, Kunvarji is by participating actively in procurement, trading, and now eyeing options for providing agri-storage services. Their dilemma reeled around the choice of storage that should be preferred for better returns: warehouse, cold storage, or silos? What should be Kunvarji's growth strategy?