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This study aims to explore the relationship among five types of power (expert, referent, legitimate, reward and coercive power), two dimensions of cooperative behavior (specific investments and communication) and three types of alliance performance (alliance stability, income increase and cost decrease) in contract farming. By investigating the dyadic perspectives of companies and contract farmers, the authors examine how power use influences cooperative behavior, which further enhances alliance performance.

The authors construct a theoretical model grounded on resource dependence theory (RDT). Data from 202 companies and 462 farmers in China are used to test the proposed hypotheses using structural equation modeling.

The authors' results show that the five types of power play different roles in cooperative behavior. On the one hand, farmers' expert, reward and coercive power enhance the company's specific investments; farmers' expert power enhances the company's communication but farmers' coercive power harms the company's communication. Also the company's specific investments enhance communication that is positively related to alliance ability, income increase and cost decrease. On the other hand, the company's expert, referent and legitimate power enhance farmers' communication, while the company's coercive power harms farmers' communication; the company's reward and coercive power enhance farmers' specific investments. Moreover, farmers' communication is positively related to alliance ability, income increase and cost decrease, but farmers' specific investments do not significantly influence such.

This study contributes to the literature on contract farming supply chain management by examining the relationships among power use, cooperative behavior and alliance performance from the dyadic perspective of companies and farmers. These findings have practical implications for agricultural companies and farmers promoting cooperative behavior and alliance performance through appropriate power use in contract farming supply chains.

This study examines how production and environmental information transparency affect online consumer trust and their purchase intention for green agricultural products.

Using signaling theory, the study combines structural equation modeling (SEM) and necessary conditions analysis (NCA) to examine sufficiency and necessity. SEM analyzes the links between information transparency, online consumer trust and purchase intention, while NCA identifies the necessary conditions for building trust and purchase intentions among online consumers.

First, production information transparency improves general trust (GT), while environmental information transparency boosts both GT and swift trust (ST). Second, both GT and ST promote online consumers’ purchase intentions (OCPI). Third, production information transparency is necessary for GT, while environmental information transparency supports both GT and ST. Additionally, GT and ST are necessary conditions for OCPI. These findings indicate that production and environmental information transparency help enhance consumer trust, thereby increasing their purchase intentions.

The findings offer guidance for businesses in designing trust-building strategies and provide recommendations for policymakers on incentivizing transparency practices among green agricultural product producers.

This study extends signaling theory to the online consumption of green agricultural products. By combining SEM and NCA, it is the first to reveal the necessity and sufficiency conditions among production and environmental information transparency, trust and purchase intention.

The purpose of this paper is to explore the relationships between relationship commitment, cooperative behavior and alliance performance in agricultural supply chains. By investigating dyadic relationships between companies and their contract farmers (hereafter denoted by C+F), this study aims to investigate how relationship commitment influences cooperative behavior and how such behavior further influences alliance performance in C+F agricultural supply chains in China.

Based on data collected from 202 companies and 462 farmers in China, this study uses the structural equation modeling approach to test the conceptual model and related hypotheses.

For both companies and contract farmers, normative relationship commitment is a necessity for economically and socially cooperative behavior (i.e. specific investment and communication, respectively), while instrumental relationship commitment has no relationship with specific investment. Only socially cooperative behavior (communication) can improve alliance performance, while economically cooperative behavior (specific investment) has no relationship with alliance performance. For companies, instrumental relationship commitment reduces communication, but specific investment increases communication. For farmers, both instrumental relationship commitment and specific investment have no relationship with communication.

This study contributes to the literature on supply chain management by adopting a bilateral perspective and examining relationships among relationship commitment, cooperative behavior and alliance performance in the C+F context. It provides agricultural companies and contract farmers with valuable guidance to use relationship commitment and cooperative behavior to improve alliance performance in agricultural supply chains in China.

Corporate social responsibility (CSR) has received a large amount of attention in research and in practice. As a response to the growing awareness of and concern about social and environmental issues, an increasing number of companies are integrating their supply chains and building an alliance of “a company + farmers”. The overall research question of this study is derived from the literature, and this paper aims to identify factors that influence the integration of the agriculture supply chain and to explore the relationship between these factors and quality performance.

The analysis is based on questionnaire survey data collected from 462 Chinese farmers under the organization pattern of “a company + farmers”. A structural equation model is applied in the empirical analysis of the relations among trust, relationship commitments of different types (normative and instrumental), supply chain integration and quality performance.

An understanding of the various influences on supply chain integration and quality performance is important in relation to CSR in Chinese agriculture. The results show that supply chain integration has positive effects on quality performance. Moreover, farmers’ normative relationship commitment to the company is positively related to supply chain integration. However, farmers’ instrumental relationship commitment to the company does not significantly affect the degree of integration between farmers and companies. Furthermore, trust has positive influences on the two types of relationship commitment and on supply chain integration.

The findings provide a theoretical basis and practice guidelines for agricultural enterprises to manage CSR under the pattern of “a company + farmers”. The results help enterprises to acquire detailed information about the entire process of agricultural production, improve the quality and safety of primary agricultural products and enhance the competitiveness of Chinese agricultural products in the market.

The e-book shows that enterprises working within Chinese agriculture supply chains have a long tradition of working with CSR and supports cooperation between the European Union and China on food and agriculture.

Although the circular economy is widely regarded as an essential strategy for firms, the present understanding of the drivers and outcomes of circular economy implementation is underdeveloped. In this paper, the authors draw on the natural resource-based view and information processing theory to explore how an environmental orientation and digital supply chain platforms promote circular economy implementation, and increase the impact of circular economy implementation on financial performance.

The authors surveyed 249 Chinese firms and used hierarchical regression analysis to test hypotheses.

The empirical results reveal that three primary modes of circular economy implementation—reinvent and rethink (INV), restore, reduce and avoid (RRA), and recirculate (REC)—are all driven by environmental orientation and digital supply chain platforms. More interestingly, digital supply chain platforms have an inverted U-shaped moderating effect on the relationships between environmental orientation and INV and between environmental orientation and RRA. Most importantly, INV and RRA are positively related to financial performance, whereas REC does not have a significant relationship with financial performance.

The authors contribute to the literature on the circular economy by revealing new drivers and outcomes of different modes of its implementation. Additionally, the findings have implications for how firms should frame their circular economy initiatives in the context of the digital revolution.

The purpose of this paper is to propose a risk-sharing model to coordinate the decision-making behavior of players in a cassava-based bioethanol supply chain under random yield and demand environment, so as to mitigate the yield and demand uncertainty risk and improve the bioethanol supply chain resiliency and performance.

The decision-making behavior under three models, namely, centralized model, decentralized model and risk-sharing model, are analyzed. An empirical test of the advantages and feasibility of the proposed risk-sharing model, as well as the test of yield uncertainty risk, risk-sharing coefficients and randomly fluctuating cassava market price on the decision-making behavior and performances are provided.

Though the proposed risk-sharing model cannot achieve the supply chain performance in the centralized model, it does help to encourage the farmers and the company to increase the supply of cassava and achieve the Pareto improvement of both players compared to the decentralized model. In particular, these improvements will be enlarged as the yield uncertainty risk is higher.

The findings will help decision makers in the bioethanol supply chain to understand how to mitigate the yield uncertainty risk and improve the supply chain resiliency under yield and demand uncertainty environment. It will also be conducive to ensure the supply of feedstock and the development of the bioethanol industry.

The proposed risk-sharing model incorporates the yield uncertainty risk, the random market demand and the hierarchical decision-making behavior structure of the bioethanol supply chain in the model.

Facilitating supply chain visibility and traceability through effective information sharing is vital to improve the quality and safety of food products. However, we know little about the enablers of information sharing in food supply chains. Drawing upon resource dependence theory and social exchange theory, the purpose of this paper is to explore how farmers’ dependence on companies influences their trust in and relationship commitment to those companies, and in turn facilitates effective information sharing with them.

Data collected from 462 farmers in China were used to test the conceptual model and related hypotheses.

The results show that dependence has a significant positive effect on trust and relationship commitment, but it has no direct significant effect on information sharing. In addition, trust has a significantly positive influence on relationship commitment, and both trust and relationship commitment have significantly positive effects on information sharing. These findings show that strengthening farmers’ dependence on companies can cultivate farmers’ trust and relationship commitment, thereby encouraging them to share information with the companies.

Theoretically, this study contributes to the supply chain information sharing and relationship management literature. Practically, it shows how companies can effectively monitor production processes and improve food quality and safety through information sharing and relationship management.

The purpose of this study is to explain the stability of the alliance of “a company+farmers” from the perspective of farmers.

Based on 462 usable data collected through survey, structural equation modeling (SEM) technology was employed to examine the research model.

From farmers' perspective, the authors find that the positive correlation between alliance performance and alliance stability, relationship quality promotes alliance performance and different powers have different impacts on relationship quality. Together, these results illustrate the formation process of the stability of the alliance “a company+farmers”.

This research is limited to a particular sample: farmers from Guangdong and Hainan Province in China. Thus, the results need to be generalized to other samples.

Previous studies do not have good explanations on the formation mechanism of the stability of the alliance of “a company+farmers”. From the perspective of farmers, based on resource dependence theory, social exchange theory, this study builds an empirical model of “power‐relationship quality‐alliance performance‐alliance stability” to address the gap.

The purpose of this research is to provide a systematic insight into corporate social responsibility (CSR) and corporate citizenship (CC) in supply chain development, by analyzing the current literature, contemporary concepts, data and gaps for future discipline research.

This research identifies information from existing academic journals and investigates research designs and methods, data analysis techniques, industry involvement and geographic locations. Information regarding university affiliation, publishers, authors, year of publication is also documented. A collection of online databases from 2001 to 2018 were explored, using the keywords “corporate social responsibility”, “corporate citizenship” and “supply chain” in their title and abstract, to deliver an inclusive listing of journal articles in this discipline area. Based on this approach, a total of 164 articles were found, and information on a chain of variables was collected.

There has been visible growth in published articles over the last 18 years regarding supply chain sustainability, CSR and CC. Analysis of the data collected shows that only five literature reviews have been published in this area. Further, key findings include 41% of publications were narrowly focused on four sectors of industry, leaving gaps in the research. 85% centered on the survey and conceptual model, leaving an additional gap for future research. Finally, developing and developed nation status should be delineated, researched and analyzed based on further segmentation of the industry by region.

This research is limited to reviewing only academic and professional articles available from Emerald, Elsevier, Wiley, Sage, Taylor and Francis, Springer, Scopus, JSTOR and EBSCO containing the words “corporate social responsibility”, “corporate citizenship” and “supply chain” in the title and abstract.

This assessment provides an enhanced appreciation of the current practices of current research and offers further directions within the CSR and CC in supply chain sustainable development.