Consumers' demand for fresh agricultural products (FAPs) and their quality requirements are increasing in the current agricultural-product consumption market. FAPs' unique perishability and short shelf-life features mean a high level of delivery efficiency is required to ensure their freshness and quality. However, consumers' demand for FAPs is contingent and geographically dispersed. Therefore, the conflicting relationship between the costs associated with the logistics distribution and the level of delivery quality is important to consider. In this paper, the authors consider a fresh agricultural-product distribution path planning problem with time windows (FAPDPPPTW). To address the FAPDPPPTW under demand uncertainty, a mixed-integer linear programming model based on robust optimization is proposed. Moreover, a particle swarm optimization algorithm combined with a variable neighborhood search is designed to solve the proposed mathematical model. The numerical experiment results show the robustness and fast convergence of the algorithm.

Customers' concerns about inappropriate use of personal information can create potential threats that jeopardize the proliferation of emerging markets. This study aims at investigating how the adaptive and maladaptive responses of consumers are driven by perceived threat and perceived efficacy of external cues theoretically and how consumers react to the reported misuse of personal data in privacy regulation in the emerging online market. Online experiments were conducted to test the research model. This study contributes to the extension of extended parallel process model by theoretically examining the relationships between perceived threat and perceived efficacy and offers insights into the improvement of privacy regulation from the consumer perspective.

The purpose of this paper is to investigate the relationships between digitalization, supply chain integration, and firm performance. Data are analyzed by the partial least square structural equation modeling (PLS-SEM). The results revealed that both digitalization in the supply chain and supply chain external integration positively affected company performance. Further, supply chain external integration partially mediated the relationship between supply chain digitalization and firm performance. In addition, it was found that financial performance is enhanced through different paths for large enterprises and SMEs. Large enterprises improve financial performance through supply chain integration after efforts spent on the digitalization of their supply chain, while SMEs improve financial performance directly through supply chain digitalization. These findings provide insights for managers and policymakers of large enterprises and SMEs in formulating appropriate implementation strategies for digital transformation.