Green supply chain management in manufacturing small and medium-sized enterprises: Perspectives from Chang Chiang Delta

This research started from an interest in how small and medium-sized enterprises (SMEs) in the manufacturing industry within the geographical area of Chang Chiang Delta in China operate with respect to sustainability by developing green supply chain management (GSCM). Therefore, the aim of this study is to investigate what the pressures are for SME manufacturers to implement GSCM practices, and to examine the relationship between those practices and corresponding performance at a regional level in the context of Chang Chiang Delta in China. To accomplish this task, a range of literature is evaluated, focusing on GSCM theories and adoptions. This review reveals a research gap regarding SMEs’ implementation of GSCM, to which this study responds. The research is underpinned by an interpretive epistemology and a multi-method design. It is an exploratory and empirical study with two rounds of primary data collection gathered from SME manufacturers in the Chang Chiang Delta region of China, which contains the triangular-shaped territory of Shanghai, southern Jiangsu Province and northern Zhejiang Province, including the urban cores of five cities – Shanghai, Nanjing, Hangzhou, Suzhou and Ningbo. In addition, a qualitative case study is employed in this research to provide more detailed information of GSCM implementation in SMEs. The results derived from both the questionnaire survey and the case study provide strong evidence that Chinese manufacturing SMEs have been under pressures relating to regulatory, customer, supplier, public and internal aspects from different stakeholder parties in terms of GSCM. In response to these pressures, SMEs have tried some GSCM practices, including green purchasing, eco-design, investment recovery, cooperation with customers and internal environmental management, and these practices are specific to the industrial sector considered in this study. But these practices do contribute to improving performance economically, environmentally and operationally. From the literature review and the empirical findings, this research provides contributions to knowledge, as well as managerial implications. It contributes to knowledge by providing conceptual and empirical insights into how GSCM is viewed and developed among SME manufacturers, clarifying the conceptions relating to sustainability, and incorporating stakeholder theory and the theory of industrial ecology in examining GSCM development. This study also provides practical implications by providing suggestions and guidance to governments, the public, suppliers and customers across the chain, as well as the managers of SMEs, and proposing an optimised model for the selected case for improved GSCM performance

Causal Neural Graph Collaborative Filtering

Graph collaborative filtering (GCF) has gained considerable attention in recommendation systems by leveraging graph learning techniques to enhance collaborative filtering (CF) models. One classical approach in GCF is to learn user and item embeddings by modeling complex graph relations and utilizing these embeddings for CF models. However, the quality of the embeddings significantly impacts the recommendation performance of GCF models. In this paper, we argue that existing graph learning methods are insufficient in generating satisfactory embeddings for CF models. This is because they aggregate neighboring node messages directly, which can result in incorrect estimations of user-item correlations. To overcome this limitation, we propose a novel approach that incorporates causal modeling to explicitly encode the causal effects of neighboring nodes on the target node. This approach enables us to identify spurious correlations and uncover the root causes of user preferences. We introduce Causal Neural Graph Collaborative Filtering (CNGCF), the first causality-aware graph learning framework for CF. CNGCF integrates causal modeling into the graph representation learning process, explicitly coupling causal effects between node pairs into the core message-passing process of graph learning. As a result, CNGCF yields causality-aware embeddings that promote robust recommendations. Our extensive experiments demonstrate that CNGCF provides precise recommendations that align with user preferences. Therefore, our proposed framework can address the limitations of existing GCF models and offer a more effective solution for recommendation systems

Pressures on Green Supply Chain Management: A Study on Manufacturing Small and Medium-Sized Enterprises in China

This study aims to empirically investigate the pressures for adopting green supply chain management (GSCM) among Chinese small and medium-sized enterprises (SMEs). Data is collected through the use of mail distributed questionnaires administered to participants at a national trade fair held in Suzhou and two rounds of data collection were carried out to make a more reliable result for the research. ANOVA and Factor analysis are used to analyze the data. Some key findings are found from this study. Firstly, there is indifference among the four industrial sectors in terms of facing pressures in adopting GSCM practices. Secondly, all of the pressures from environmental laws and regulations, the pressures in the process of selling the products and the pressures in the supply chain in the relation with the suppliers and customers have impacted on the decisions of SMEs to employ GSCM practices. The main limitation to this paper is the relatively small manufacturing sample of SMEs. The paper explores the GSCM pressures faced by Chinese SMEs which may be different from the findings through the studies on large enterprises in China. Key words: Supply chain management; Pressures on green supply chain management small and medium-sized enterprises; Chinese manufacturing industr

Based on Anti-windup PI of brushless Dc motor control system design

In this paper, on the simulation model of brushless DC motor, for brushless DC motor speed controller adopts Anti-windup PI saturated controller. According to the output of the controller is saturated, integral output feedback to the input, by the integral state control. It is that integral controller using the conditions with the computing strategy of control algorithm, so ensure the controller when a saturated. As soon as possible from the saturated zone, reached the overshoot volume is reduced. The simulationexperimental results show that the control method can effectively inhibit integral saturation and implement system response speed. It is good that the system has good robustness and steady-state performance. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.393

Framework of Software Testing Based on Cloud Computing

For the problem that efficiency is low and cost is high existing in the traditional software testing method, the paper tested software using cloud testing technology. It introduced related technologies including cloud testing, and described the design of overall architecture of the system in details, designed and implemented the scheduling module using a high priority first scheduling based on dynamic priority. The results of the Matlab simulation experiment show that this scheduling algorithm can reduce test cost and realize the automation of software testing under the condition of significantly improving test efficiency and resource utilization

How Corporate Social Responsibility and External Stakeholder Concerns Affect Green Supply Chain Cooperation among Manufacturers: An Interpretive Structural Modeling Analysis

The past decade saw an increasing development and improvement of green supply chain, but the environmental performances cannot be achieved by single enterprises. Therefore, it is necessary to find out the influencing factors that hinder the cooperation of green supply chain, so as to make full use of these influencing factors to improve environmental performance. In consultation with supply chain management practitioners and academics, this paper establishes a set of 19 influencing factors for green supply chain cooperation among Chinese manufacturers The corporate social responsibility as internal effect and external stakeholder concern as external effect is considered in this study and the interpreted structural model (ISM) method is used to analyze the interaction among these influencing factors and its impact on green supply chain cooperation. This study aims to identify the most significant impacts on environmental issues with supply chain partners and to understand how these impacts can help improve the environmental performance throughout the supply chain

Dynamic Decomposition of Factors Influencing the Export Growth of China’s Wood Forest Products

Wood forest products (WFPs) are globally important environmental products, with economic, ecological, and renewable characteristics. China is the world’s largest WFP exporter. However, many factors, such as the downturn of traditional major export markets and the rise of the price of production factors, have generated great challenges and uncertainties for China’s WFP export market. This study improves the product scope of WFPs. The category of WFPs has been expanded to 14 categories and 30 sub-categories, which is more detailed and more developed than in previous literature. Based on the United Nations’ Comtrade Database (COMTRADE), this paper uses the revised constant market share (CMS) model to measure and analyze empirically the factors affecting the export growth of China’s WFPs from the perspective of market, structure, and competitiveness. It is found that (1) the competitive effect exerts the biggest influence on export growth, followed by market size effects, with the effects of market distribution and product structure both being small; (2) wooden furniture, wooden products, plywood, paper, and its products play a main role in enhancing the competitive effect in China’s WFPs; and (3) China’s WFPs have a strong market competitiveness in other markets such as the USA, China Hong Kong, United Kingdom, Japan, Australia, Malaysia, and Singapore. Therefore, it is crucial for China’s WFP market to improve its product structure effects and market distribution effects in order for it to participate in international competition. On the other hand, considering that China’s exports of WFPs mainly consist of resource- and labor-intensive products, the improvement of standards such as the technology level, environmental protection and sustainable development, must not be ignored

The Game Model of Blue Carbon Collaboration along MSR—From the Regret Theory Perspective

Ocean pollution and global warming are two pressing environmental problems exacerbated by human economic behavior. Building a blue carbon cooperation platform along the Maritime Silk Road (MSR) to promote sustainable development of countries along the route is of practical value to solving these two problems. Based on the analysis and review of the latest research on blue carbon, cooperative game and MSR, Weber’s law and regret theory are introduced to establish an economic model of blue carbon international cooperation, which proves the economic feasibility of blue carbon cooperation along MSR. The influence of psychological factors on the decision making of blue carbon international cooperation is also discussed. In addition, the measures to promote international cooperation are also discussed according to the current situation of marine blue carbon resources

The game model of blue carbon collaboration along MSR — from the regret theory perspective

Ocean pollution and global warming are two pressing environmental problems exacerbated by human economic behavior. Building a blue carbon cooperation platform along the Maritime Silk Road (MSR) to promote sustainable development of countries along the route is of practical value to solving these two problems. Based on the analysis and review of the latest research on blue carbon, cooperative game and MSR, Weber’s law and regret theory are introduced to establish an economic model of blue carbon international cooperation, which proves the economic feasibility of blue carbon cooperation along MSR. The influence of psychological factors on the decision making of blue carbon international cooperation is also discussed. In addition, the measures to promote international cooperation are also discussed according to the current situation of marine blue carbon resources.</p