Cold Chain Logistics Service Research Articles

Promoting Consumers' Sustainable Consumption of Online Retail Cold Chain Logistics Services: Extended Applications of SOR and Cognitive-Affective-Conative Theories.

As food safety awareness rises and living standards improve, consumers have increasingly higher expectations for the efficiency and quality of cold chain logistics services. For cold chain logistics service providers, accurately understanding consumer psychology and enhancing their willingness to continue using the service-while guiding them to actively participate in green cold chain logistics practices-are necessary means to maintain competitiveness. Therefore, based on stimulus-organism-response and cognitive-affective-conative theories, this study constructs a three-stage model to explore the factors influencing consumers' continuous consumption of online retail cold chain delivery services. This study substantiates that consumers' intention to continue consuming proceeds through the following three stages: cognitive, affective, and conative. Specifically, the results indicate that consumer- and environment-oriented services significantly enhance consumer value and psychological empowerment, which further promotes their intention to continue using the service and participate in green practices. Moreover, psychological empowerment and perceived value fully and partially mediate the relationship between the two types of services and consumer sustainable consumption, respectively. These findings expand the research on cold chain consumption and deepen our understanding of how various factors influence consumer behavior.

Factors Influencing on the Evaluation System of Cold Chain Logistics Services for Agricultural Products in Guangxi Province, The People’s Republic of China

The objectives of this study were: (1) To study the factors that affect the evaluation system of cold chain logistics services for agricultural products in Guangxi Province, the People’s Republic of China. (2) To study the relationships between influence factors and the evaluation system of cold chain logistics services for agricultural products in Guangxi Province, the People’s Republic of China. (3) To build a model of relationship between quality management and the evaluation system of cold chain logistics services and propose suggestion for improving the evaluation system of cold chain logistics services for agricultural products in Guangxi Province, the People’s Republic of China. The study employed a mixed research methodology. In the quantitative analysis section, a questionnaire survey was conducted using simple random sampling. In the qualitative part of the analysis, in-depth interviews were conducted with eight senior managers from agricultural production departments, logistics management companies, fresh agricultural product sales companies, hotels, and government departments. The data analysis utilized statistics including frequency, percentage, mean, standard deviation, and structural equation model. Major Findings: the factors influencing the evaluation system of cold chain logistics services for agricultural products in Guangxi Province were examined. The identified influencing factors included agricultural product cold chain logistics quality management, logistics environment, and transportation efficiency. It was found that agricultural product cold chain logistics quality management has a significant positive impact on the logistics environment, transportation efficiency, and agricultural product cold chain logistics service evaluation system. At the same time, the logistics environment and transportation efficiency have a significant positive impact on the agricultural product cold chain logistics service evaluation system. This study presents the issues with the development of the cold chain logistics service evaluation system for agricultural products in Guangxi, along with countermeasures and suggestions for improvement.(1)Full utilization of existing resources to promote industrialization and modernization of fresh agricultural product logistics; (2) Development of a systematic agricultural product cold chain logistics system to support the agricultural product industry; (3)Strengthening the construction of cold chain supply chains for urban and rural agricultural products; (4)Expediting the introduction of energy-efficient and environmentally sustainable long- and short-distance cold chain transport vehicles; (5)The application of information technology is To be encouraged with a view to enhancing the efficiency and transparency of cold chain logistics.

Research on Supply Chain Management Countermeasures for Fresh Agricultural Products

Due to the rapid growth of China's economy and the popularization of the Internet, Online platforms are becoming increasingly popular for consumers to purchase products, online shopping platforms can provide consumers with a richer range of products and cheaper prices, and therefore favored by consumers. Fresh products, which are considered a special type of consumer goods, are subject to more restrictions on transportation and sales due to their characteristics, which solves the development dilemma of fresh products. In the face of this situation, this article mainly analyzes the problems of the cold chain logistics service system of fresh agricultural products in the context of e-commerce and puts forward the corresponding countermeasures on the basis of which, provides suggestions and guidelines for the development of the relevant logistics and fresh food industry, and then better promote the healthy and sustainable development of fresh agricultural products cold chain logistics under the background of e-commerce.

Coordinating principal-agent and incentive strategy of cold chain logistics service in fresh food supply chain.

With the increasing production and circulation of fresh food, society's requirements for product quality have also increased. Currently, upstream and downstream enterprises in the fresh food supply chain tend to delegate the cold chain transportation of fresh food to third-party cold chain logistics (CCL) service providers who offer more professional integrated preservation services. This study adopts coordination theory to research the delegation, coordination, and incentive strategies between a Fresh Food Producer, Distributor, and CCL Service Provider. The aim is to promote the efforts of the CCL Service Provider in improving freshness and achieving the overall optimal interests of the fresh food supply chain. First, the basic models of the Fresh Food Producer and Distributor individually entrusting the CCL Service Provider are established under different information conditions. Second, a collaborative delegation agency model between the Fresh Food Producer and Distributor is established on top of the basic models. Finally, through the optimal decision solutions under different information conditions and numerical calculations of preservation benefit levels, the following conclusions are drawn: (1) The more transparent and open the information environment, the more it can encourage the CCL Service Provider to improve the quality of their preservation services, allowing the Fresh Food Producer and Distributor to obtain more significant preservation benefits. However, when information is completely transparent, the incentive mechanisms formulated by the Fresh Food Producer and Distributor become ineffective. (2) Collaborative cooperation strategies can encourage the CCL Service Provider to enhance their preservation efforts while strengthening the effectiveness of relevant incentive strategies for the Fresh Food Producer and Distributor.

Research on information collaboration strategy of fresh agricultural products supply chain under carbon cap-and-trade

The information coordination of fresh agricultural products supply chain is conducive to improving the overall efficiency and competitiveness of the supply chain, and reducing carbon emissions. Under the carbon cap-and-trade policy, this paper constructed an evolutionary game model of supply chain information collaboration involving a fresh agricultural products supplier, a cold chain logistics service provider and a fresh agricultural products retailer, explored the selection of information collaboration strategies of each subject, and simulated it with system dynamics. The results show that: The stability strategy of the game system is related to the initial willingness of each subject. When any two parties participate in information collaboration, the other party will also choose to participate in collaboration. In addition, the choice of information collaboration strategy of the subject is also related to the collaborative planning ability, collaborative strategy formulation ability, consumers’ preference, the initial cost of each subject, revenue sharing and cost sharing mechanism, government subsidies, government regulation and carbon cap-and-trade policy. It is worth noting that the collaborative planning capability is more conducive to promoting the subject to choose information collaborative strategy than the collaborative strategy formulation capability; the carbon trading price has a greater impact on the subject’s participation in collaboration, while the total amount of carbon quota has no impact on the choice of the subject’s information collaboration strategy. Furthermore, based on the research results, the corresponding management suggestions are put forward from the two aspects of the government and the participants.

Research on the Development of Cold Chain Logistics in China and Countermeasures in the Post-Epidemic Era

Cold chain logistics has developed rapidly and the scale of the industry has been expanding. Go deep into the front line, the per capita cold chain resources in China’s cold chain logistics are low, there is a shortage of cold chain goods, blindly start construction in various places to expand storage and transportation capacity, the lack of top-level overall planning and design of industry development, repeated construction, uneven distribution of cold chain logistics service capabilities, lack of efficient and unified information sharing platform, imperfect information sharing mechanism, unsmooth flow of market information, insufficient support from industry authorities, poor stability of industry development and other prominent problems, and analyze their causes.

Hybrid Multi-Criteria Decision-Making Model for Optimal Selection of Cold Chain Logistics Service Providers

Hybrid Multi-Criteria Decision-Making Model for Optimal Selection of Cold Chain Logistics Service Providers

Performance of cold chain logistics service providers in the fast-moving consumer goods industry in Nigeria: a systematic review

The operations of the fast-moving consumer goods (FMCGs) businesses in Nigeria rely on the efficiency and efficacy of cold chain service providers for quality storage and optimal safety of perishable goods. However, the sector faces obstacles such as inadequate technology, unskilled labour, insufficient funds, weak regulation, and a poor regulatory policy framework, all of which impede the business’s growth and performance. The goal of this study is to systematically review the issues that restrict cold chain logistics service providers’ performance in Nigeria’s highly perishable food business. This study employs PRISMA procedure and the systematic literature review technique to extract articles and emphasize the importance of employing cold chain services to increase efficiency, quality service delivery, and consumer fulfilment. The study’s findings demonstrate that achieving quality service delivery, service effectiveness, cost savings, and customer satisfaction is hampered by a lack of proper synergy between cold chain logistics service providers and cold chain major stakeholders such as regulators, as well as an absence of skilled personnel, policy, funding, infrastructure, and technologies for monitoring and tracking product movement and condition. By remedying these difficulties, Nigeria’s FMCGS sectors could potentially improve their performance and contribute to the development of a robust, sustainable cold chain logistics industry. As a result, the quality and safety of FMCG goods would be enhanced, driving the expansion of the FMCG sector in Nigeria. Future research findings should focus on the cold chain logistics performance leverages on economic growth and development in Africa.

IoT-Based Information System on Cold-Chain Logistics Service Quality (ICCLSQ) Management in Logistics 4.0

IoT-Based Information System on Cold-Chain Logistics Service Quality (ICCLSQ) Management in Logistics 4.0

Research on The Evaluation System of Fresh Agricultural Products Cold Chain Logistics Service Quality in the Context of Electronic Commerce

This paper studies the service quality evaluation system of fresh agricultural products cold chain logistics in the context of e-commerce, constantly improve and optimize it, and ensure its effective implementation, which can not only improve the service quality, but also effectively promote the healthy development of fresh agricultural products cold chain logistics in the context of e-commerce. From this study, the optimization of the service quality evaluation system can be realized from the establishment of a sound index system, the realization of a scientific and reasonable evaluation method, the strengthening of the evaluation process control, the timely feedback of the evaluation results and the strengthening of the application of the results, in order to better promote the development of fresh agricultural products cold chain logistics in the context of e-commerce.

Research on Supply Chain Decision Making of Cold Chain Logistics Service Under Different Government Subsidy Policies

In the context of prioritizing environmental protection gradually becoming a general trend, how to achieve a balance between paying carbon tax and seeking government subsidies for cold chain logistics service supply chain members to further reduce carbon dioxide emissions of products will be an important decision faced by CCLSP. Based on the influence of the government's carbon tax on the cold chain logistics service supply chain, this paper analyzes the influence of different government subsidy policies on the carbon emission reduction decisions of cold chain logistics service providers (CCLSP), logistics information integrators (LSI) and the supply chain as a whole under the two scenarios of joint emission reduction and independent emission reduction. The effects of different subsidy methods and subsidy rates on carbon emission reduction, wholesale price, retail price and profit of CCLSP and LSI were explored, and the results were analyzed by numerical simulation. The results show that: in the case of joint emission reduction, emission reduction subsidy has a more positive impact on supply chain emission reduction and profit. In the case of independent emission reduction, both subsidy methods have a positive impact on the wholesale price, retail price and the profit of CCLSP and LSI. Which method is more effective needs to be selected according to the size of subsidy rate. To a certain extent, this paper provides opinions for the government to formulate a scientific and reasonable subsidy policy, which can provide a basis for CCLSP to reduce carbon emissions for inquiries.

An approach of selecting cold chain logistics service provider based on SNAand FCE method

In this paper, an integrated decision-making methodology is proposed to solve the subjectivity and fuzziness in the selection of cold chain logistics service providers (LSPs). Firstly, the social network analysis (SNA) method is applied to select the evaluation criteria of cold chain LSPs, which is based on the systematic literature analysis. Then, a novel combination weighting method that combines the advantages of entropy weight (EW) method and improved analytic hierarchy process (AHP) is constructed to calculate the weight of criteria. Further, the fuzzy comprehensive evaluation (FCE) method is utilized to generate a ranking order of providers and recommend the optimal provider. Finally, the illustrative example and comparison analysis are provided to prove the validity and feasibility of the approach. In addition, a sensitivity analysis is presented to discuss the stability of the proposed method. In conclusion, this paper innovatively constructs an index system of cold chain LSPs evaluation and selection, and the process of evaluation and selection is also objective.

Analysis on Influencing Factors of Cold Chain Logistics of Fresh E-commerce under the New Retail Model

With the development of social economy and the wide application of information technology, online e-commerce and physical retailers have certain limitations in the distribution process, and retail mode faces huge challenges and opportunities under the concept of diversified consumption. The new retail model of "online+offline+logistics", which is based on the Internet, the Internet of Things, intelligent logistics and artificial intelligence advanced technologies, emerged at the historic moment to promote the reform of people's shopping methods, which improve shopping experience. The diversification of shopping forms and channels will certainly force fresh e-commerce enterprises to upgrade their comprehensive cold chain logistics service capabilities to a higher level. Taking the cold chain logistics development direction of fresh food e-commerce under the new retail model as the subject, explore the collaborative development direction of fresh food e-commerce and cold chain logistics, and solve the urgent needs of new retail fresh food e-commerce enterprises.

Selection of Cold Chain Logistics Service Providers Based on a Grey AHP and Grey COPRAS Framework: A Case Study in Vietnam

Choosing the most suitable cold chain logistics service providers (CLPs) is a vital strategic decision for businesses aiming to achieve an effective and sustainable cold supply chain. A sustainable CLP is one that integrates sustainable practices across its whole operation cycle to achieve product quality, on-time deliveries, and satisfied customer requirements, while preventing products from going to waste, which is especially important in the context of a developing country. This study aims to evaluate and select the best CLP regarding their sustainability performance. For this evaluation, a multi-criteria decision making (MCDM)-based framework is proposed that integrates the grey analytic hierarchy process (G-AHP) and grey complex proportional assessment (G-COPRAS) methodologies, in which grey numbers are used to express the linguistic evaluation statements of experts. Initially, the evaluation criteria based on service level, economic, environmental, and social dimensions were determined by means of a literature review and experts’ opinions to employ the MCDM approach. The G-AHP was utilized to identify the criteria weights, and then, G-COPRAS was used to select the best CLP among the alternatives. A case illustration in Vietnam is presented to exhibit the presented approach’s applicability. From the G-AHP findings, product quality, logistics costs, innovation, and effectiveness of cold chain processes, customer experience, and CO emissions of refrigerated vehicle were ranked as the five most important criteria. From the G-COPRAS analysis, Yoshida Saigon Cold Logistic (CPL-05) is the best CLP. The robustness of the applied integrated MCDM approach was also tested by conducting a comparative analysis, in which the priority rankings of the best CLPs were very similar. The assessment in this study is directed towards enabling managers, practitioners, and stakeholders of cold chain businesses to assess the most efficient CLP in the supply chain in the market and also to devise suitable strategies toward sustainable development.

Research on the Selection of Green Cold Chain Logistics Service Providers Based on Combined Weighting-Cloud Model

For enterprises whose products need to be frozen and refrigerated transportation, the selection of green cold chain logistics service providers is one of the indispensable links, cold chain logistics service providers are involved in many different levels, so how to reasonably select cold chain logistics service providers is particularly critical. In this paper, the evaluation criteria system of green cold chain logistics service providers is established from five dimensions: cold chain logistics service quality, cold chain logistics service cost, cold chain logistics service capability, cold chain logistics green competitiveness and cold chain logistics enterprise management status. Combined weighting method based on minimum information discrimination principle, including BWM method and CRITIC method to determine comprehensive weight, avoids the limitation of single weighting method to determine index weight. Aiming at the randomness and fuzziness in the evaluation process of green cold chain logistics providers, a cloud model evaluation method of cold chain logistics providers is proposed. The case study shows that the proposed combined weighting method overcomes the one-sidedness of the single weighting method and improves the rationality of the weights. The cloud model evaluation method of cold chain logistics suppliers proposed in this paper is helpful to deal with the randomness and fuzziness in the process of weight combination, and improve the effectiveness and scientific rationality of the weight combination results.

An Optimal Method for Supply Chain Logistics Management Based on Neural Network

From raw material storage through final product distribution, a cold supply chain is a technique in which all activities are managed by temperature. The expansion in the number of imported meat and other comparable commodities, as well as exported seafood has boosted the performance of cold chain logistics service providers. On the basis of the standard basic-pursuit (BP) neural network, a rough BP particle swarm optimization (PSO) neural network model is constructed by combining rough set and particle swarm algorithms to aid cold chain food production enterprises in quickly picking the best cold chain logistics service providers. To reduce duplicate information in the original data and make the input index more compact, the model employs rough set. Instead of using gradient descent to train the weights of the neural network, particle swarm optimization is utilized to ensure that the output results are not readily caught in local minima and that the network’s generalization capacity is improved. Finally, an example is presented to demonstrate the model’s validity and viability. The findings reveal that the model’s prediction error is 40.94 percent lower than the BP neural network model, and the prediction result is more accurate and dependable, providing a new technique for cold chain food production companies to swiftly pick the best cold chain logistics service provider.

Application of catastrophe progression method on hybrid multiple attribute decision-making problems based on regret theory

In order to effectively solve the decision-making problems with the diversity of evaluation information, the dynamics of research objects, the limitations of subjective authorization, and the irrational behavior of decision-makers, this paper extends catastrophe progression method to solve hybrid multiple attribute decision-making problems based on regret theory. Firstly, some basic theories are introduced. Secondly, the original catastrophe progression method is extended by using the regret theory, which is employed to solve the multiple attribute decision-making problems with hybrid evaluation information. Finally, a real-life case study of selecting a fresh cold chain logistics service provider is used to verify the practicality and effectiveness of the proposed method, and a comparative analysis with the TOPSIS method and the sensitivity of the regret avoidance coefficient is analyzed in this article.

A Study of Cold Chain Logistics Service Provider Selection Based on Rough PSO-BP Neural Network

A Study of Cold Chain Logistics Service Provider Selection Based on Rough PSO-BP Neural Network

Service quality evaluation of fresh agricultural products cold chain logistics based on principal component and neural network

With the rapid development of fresh e-commerce, the cold chain logistics service quality of fresh agricultural products has attracted the attention of businesses and customers. Starting from the connotation of cold chain logistics service quality, the evaluation index system of agricultural products cold chain logistics service quality with 13 influencing factors was established. Considering that too many dimensions of input data and strong correlation among indexes will affect the training of neural network, this paper proposes to build a service quality evaluation model of cold chain logistics of fresh agricultural products by combining principal component analysis with BP neural network. Through the actual data verification of an e-commerce logistics enterprise, the evaluation accuracy rate is significantly improved, which provides an effective method for the service quality evaluation of fresh agricultural products cold chain logistics.

Research on service quality evaluation method of cold chain logistics of agricultural products based on key control points

Based on the idea of key control points, the evaluation model of cold chain logistics service quality of fresh agricultural products is constructed. Based on the analysis of the characteristics of cold chain logistics of fresh agricultural products, combined with SERVQUAL model and LSQ model, four key control points of service quality of cold chain logistics of fresh agricultural products are selected, and the fuzzy comprehensive evaluation method is used to analyze the evaluation examples. The results show that the method is effective.