Research on Evaluation of Intelligent Manufacturing Capability and Layout Superiority of Supply Chain by Big Data Analysis

With the rise of cloud computing, big data and Internet of Things technology, intelligent manufacturing is leading the transformation of manufacturing mode and industrial upgrading of manufacturing industry, becoming the commanding point of a new round of global manufacturing competition. Based on the literature review of intelligent manufacturing and intelligent supply chain, a total factor production cost model for intelligent manufacturing and its formal expression are proposed. Based on the analysis of the model, 12 first-level indicators and 29 second-level indicators of production line, workshop/factory, enterprise and enterprise collaboration are proposed to evaluate the intelligent manufacturing capability of supply chain. This article also further studies the layout superiority and spatial agglomeration characteristics of intelligent manufacturing supply chain, providing useful reference and support for enterprises and policy makers in the decision-making.

Quality Improvement of Agricultural Products Supply Chain under Social Preference and CSR by Big Data Analysis

Purpose- The aim of this study is to analyze the effect of corporate social responsibility (CSR) and social preference on quality improvement of the agricultural products supply chain composed of agricultural products producer and processor (A3P) and supermarket by theoretical analysis and empirical evidence. Methodology- This paper sets Stackelberg game model under A3P’s CSR by considering supermarket’s altruistic reciprocity and A3P’s fairness conern, respectively. By comparative analysis, we study the effect of CSR, altruistic reciprocity and fairness conern on the quality improvement of the agricultural products supply chain. Then, we adopt the empirical evidence to analyze the correlation between CSR, altruistic reciprocity (fairness concern) and quality improvement and the mediating effect of altruistic reciprocity (fairness concern) by investigating the agricultural enterprises.

Animal Welfare and Major Food Retailers

This paper offers an exploratory review of how some of the major US and European food retailers have publicly addressed animal welfare. The findings reveal that six interlinked themes, namely, strategic corporate commitment, animal welfare as good business policy, a focus on supply chains, policies on specific categories of animals and animal products, antibiotics, and auditing, illustrated the food retailers’ approach to animal welfare. The authors raise a range of issues about the retailers’ approach to animal welfare, including the aspirational nature of their commitments, the emphasis on regular audits, the role of external assurance in the reporting process, pressure from animal welfare campaigns, and the impact of the COVID-19 pandemic. The paper offers an accessible review how some of the major US and European food retailers have publicly addressed the issue of animal welfare. Keywords: animal welfare, animal welfare statements, food retailers, supply chain, audit, external assurance

Blockchain Adoption for Provenance and Traceability in the Retail Food Supply Chain

Blockchain has evolved as one of the disruptive technologies in the landscape of business. The study aims to investigate drivers of consumer adoption of blockchain for product origin and track to trace history before making a purchase. An extended technology adoption model (TAM) has been proposed to examine the consumer perspective for blockchain adoption in the food supply chain. Based on the survey of 208 retail consumers the proposed model was validated using variance-based structure equation modeling. Findings of the study emphasize the significant role of perceived security and privacy in developing trust, ease of use, and usefulness of blockchain-enabled systems. The relationship between perceived ease of use and attitude is mediated through perceived usefulness. The strong influence of attitude on adoption intention represents the consumer interest for blockchain to understand the product provenance. Study provides vital insights for successful blockchain implementation to enhance supply chain effectiveness.