Creating technological innovation via green supply chain management: An empirical analysis

This study sets out to empirically test the research framework and identify the relationship between green supply chain management (GSCM) practices and technological innovation (TI) in manufacturing firms. It is one of the first studies that experimentally validate the relationship between GSCM practices and TI from the perspective of a developing nation. In this study, 133 usable sets of data were collected from manufacturing firms in Malaysia. Results obtained from the partial least square-structural equation modeling (PLS-SEM) approach supported the significant positive relationship between three GSCM practices (i.e. internal environmental management, eco-design and investment recovery) and TI, but the study found that green purchasing and cooperation with customers do not have a significant positive correlation with TI. The importance of GSCM practices has been proven to enhance firms’ TI, in addition to improving the environment, bringing about a positive impact on the manufacturing establishment. Therefore, this study has relevance to all manufactures seeking to enhance their TI through the effective use of GSCM practices.     

竞争视角下考虑技术创新的逆向供应链微分博弈

针对由再制造商、线上线下竞争回收商和消费者组成的逆向供应链,考虑技术创新研究竞争背景下逆向供应链的微分博弈问题.利用伊藤过程刻画再制造技术先进度的随机演化过程,基于成员的利润结构,构建逆向供应链的随机微分博弈模型.运用贝尔曼连续型动态规划理论,求解动态和稳定均衡状态下成员的反馈策略,揭示再制造技术先进度的动态随机演化特征.最后结合算例,分析两种均衡状态下,回收商的竞争程度和消费者对直接回收价格的敏感系数对各成员均衡策略以及利润的影响.研究表明:提高再制造技术先进度可降低直接回收价格和转移回收价格;由于随机干扰因素的影响,再制造技术先进度始终围绕其期望上下波动,最终稳定于一个稳态值;回收商的竞争有利于激励再制造商投入更多的技术创新努力以提高再制造技术先进度,进而提高电子废弃物的整体可再制造率,但会降低回收商的单位获利,并且过度的竞争不利于电子废弃物的回收.     

The impact of supply contracts on supply chain product-flow management

One of the performance issues faced by the supply chain (SC) is the competitive production and delivery of products to all partners of the SC. The supply contract linking the Original Equipment Manufacturer (OEM) with its suppliers currently represents an important decision tool influencing the production and delivery of final products.     

Information security in networked supply chains: impact of network vulnerability and supply chain integration on incentives to invest

Recent supply chain reengineering efforts have focused on integrating firms’ production, inventory and replenishment activities with the help of communication networks. While communication networks and supply chain integration facilitate optimization of traditional supply chain functions, they also exacerbate the information security risk: communication networks propagate security breaches from one firm to another, and supply chain integration causes breach on one firm to affect other firms in the supply chain. We study the impact of network security vulnerability and supply chain integration on firms’ incentives to invest in information security. We find that even though an increase in either the degree of network vulnerability or the degree of supply chain integration increases the security risk, they have different impacts on firms’ incentives to invest in security. If the degree of supply chain integration is low, then an increase in network vulnerability induces firms to reduce, rather than increase, their security investments. A sufficiently high degree of supply chain integration alters the impact of network vulnerability into one in which firms have an incentive to increase their investments when the network vulnerability is higher. Though an increase in the degree of supply integration enhances firms’ incentives to invest in security, private provisioning for security always results in a less than socially optimal security level. A liability mechanism that makes the responsible party partially compensate for the other party’s loss induces each firm to invest at the socially optimal level. If firms choose the degree of integration, in addition to security investment, then firms may choose a higher degree of integration when they decide individually than when they decide jointly, suggesting an even greater security risk to the supply chain.     

Monopolistic competition model: The impact of technological innovation on equilibrium and social optimality

This paper considers a monopolistic competition model with the endogenous choice of technology in the closed economy case. Our aim is to obtain the comparative statics of the equilibrium and socially optimal solutions with respect to the technological innovation parameter that affects costs. The key findings are the following: consumption and investments in productivity both increase with the growth of technological innovation; the behavior of the equilibrium variables depends on the elasticity of demand only; the behavior of the socially optimal variables depends on the elasticity of utility only; finally, the behavior of the equilibrium and socially optimal variables does not depend on the properties of the costs as a function of investments in R&D.     

基于遗传算法的战略供应链集成研究

在战略供应链研究中,考虑供应链的三个主要阶段,采购、生产、配送和它们之间的相互作用,不同客户需求,设施配对关系,供应商优先权以及现有供应链设计模型的局限性,建立了混合整数非线性规划（MINLP）模型。为有效地解决这种大规模混合整数非线性规划模型的约束,采用自适应遗传算法（AGA）对该模型进行求解优化。实验结果表明,所提混合整数非线性规划模型能够有效解决战略供应链设计中的供应链协同优化问题,并能得到较优的供应链设计方案。     

基于区块链技术的供应链融资创新研究

从传统供应链金融现状着手,分析了当前供应链金融面临的挑战,包括数据的有效性问题、信用传递问题、贸易真实性审核问题等。针对这些挑战,将区块链技术引入供应链金融,着重分析了利用联盟链解决供应链金融多方信任关系问题、解决供应链信任传递及拆分流转问题以及提高供应链金融业务效率的可行性。结合实践详细描述了在合同签约、债权确权、企业融资、债权转让等各个环节,如何应用联盟链特点解决实际问题。最后对基于区块链的供应链金融应用进行了总结和展望。     

存在技术溢出的供应链合作创新机制

基于一个供应商和生产可替代产品的两个竞争制造商的模型,研究无合作创新、无技术溢出的合作创新和有技术溢出的合作创新3种模式的均衡绩效.研究结果表明,强势制造商和供应商选择合作创新是占优策略.进一步还发现,在下述3种情况下强势制造商会与零件供应商达成技术溢出合作创新机制:1)市场竞争强度较低且节约成本分享比例较高;2)市场竞争强度较高且节约成本分享比例适中;3)市场竞争强度很高且节约成本分享比例较高.     

An agent-based approach for e-manufacturing and supply chain integration

A major problem facing manufacturing organisations is how to provide efficient and cost-effective responses to the unpredictable changes taking place in a global market. This problem is made difficult by the complexity of supply chain networks coupled with the complexity of individual manufacturing systems within supply chains. Current systems such as manufacturing execution systems (MES), supply chain management (SCM) systems and enterprise resource planning (ERP) systems do not provide adequate facilities for addressing this problem. This paper presents an approach that would enable manufacturing organisations to dynamically and cost-effectively integrate, optimise, configure, simulate, restructure and control not only their own manufacturing systems but also their supply networks, in a co-ordinated manner to cope with the dynamic changes occurring in a global market. This is realised by a synergy of two emerging manufacturing concepts: Agent-based agile manufacturing systems and e-manufacturing. The concept is to represent a complex manufacturing system and its supply network with an agent-based modelling and simulation architecture and to dynamically generate alternative scenarios with respect to planning, scheduling, configuration and restructure of both the manufacturing system and its supply network based on the coordinated interactions amongst agents.     

The impact of information sharing and inventory control coordination on supply chain performances

The lack of coordination in supply chains can cause various inefficiencies like bullwhip effect and inventory instability. Extensive researches quantified the value of sharing and forecasting of customer demand, considering that all the supply chain partners can have access to the same information. However, only few studies devoted to identify the value of limited collaboration or information visibility, considering their impact on the overall supply chain performances for local and global service level. This paper attempts to fill this gap by investigating the interaction of collaboration and coordination in a four-echelon supply chain under different scenarios of information sharing level. The results of the simulation study show to what extent the bullwhip effect and the inventory variance increase and amplify when a periodic review order-up-to level policy applies, noting that more benefits generate when coordination starts at downstream echelons. A factorial design confirmed the importance of information sharing and quantified its interactions with inventory control parameters, proving that a poor forecasting and definition of safety stock levels have a significant contribution to the instability across the chain. These results provide useful implications for supply chain managers on how to control and drive supply chain performances.     

The impact of service system on the implementation of cluster supply chain

As a new management pattern, ??cluster supply chain?? (CSC) can help small and medium enterprises (SMEs) in China to face the sharp global competitions through all kinds of collaboration. However, a major challenge in implementing CSC is the gap between the related theories and practices in the field. In order to bridge the gap, this paper presents the JingCheng Mechanical & Electrical Holding co., Ltd. (JCH) as a case study to explain the key problems in the practice of cluster supply chain: What are the specific conditions for the implementation of cluster supply chain? What are the advantages and challenges of implementing cluster supply chain? Furthermore, the role of service supporting system is emphasized, which has driven a process of transforming CSC theories into practices. Through the case study of JCH, we clarify the role of service system in the actual construction and operation of cluster supply chain, which can promote the rapid adoption of CSC and show successful results as it should be.     

The impact of knowledge sharing,organizational capability and partnership quality on IS outsourcing success

In recent studies, there has been much interest in knowledge sharing between the service receiver and provider through an outsourcing partnership and its effect on Information Systems (IS) outsourcing success. This study examines the relationship between knowledge sharing and outsourcing success. The effect of the ability of the service receiver to absorb the needed knowledge and of companies to build a partnership on these relationships are modeled and hypotheses defined. These were tested using a sample of 195 public sector organizations in Korea. Findings indicate that all hypothesized paths in the model are significant.     

How to build supply chain resilience: The role of fit mechanisms between digitally-driven business capability and supply chain governance

Drawing upon resource orchestration theory, we argue that deploying digitally-driven business capability aligned with supply chain governance may improve supply chain resilience. Using a sample of Chinese agriculture firms, the empirical analysis verified three fit mechanisms (complementing fit, balancing fit, and configuring fit) between digitally-driven business capability and supply chain governance and their effects on supply chain resilience. This research offers novel insights into the specific actualization mechanisms by which digitally-driven business capability and supply chain governance jointly improve supply chain resilience. Implications for management and future Information Systems (IS) research are provided.     

基于面向服务架构的敏捷供应链信息集成研究

在分析敏捷供应链信息系统的特性及需求的基础上结合Web Service技术和面向服务架构（SOA）思想,从生命周期角度描述了整个敏捷供应链信息集成的整个生命周期过程,并且提出了基于面向服务架构和Web Service实现技术的信息集成系统框架,简要分析了如何采用Web Service技术来实现整个系统,分析了实现过程中可能遇到的实际问题及将来进一步的研究方向.     

物流服务供应链的质量协调研究

基于演化博弈论的研究方法,构建了物流服务供应链质量协调的演化博弈模型,并对该模型进行了分析。研究结果表明,影响物流服务供应链质量协调的因素有协调成本、额外收益、违约成本、超额收益、投诉概率、声誉损失和损失分摊系数等,通过调整这些参数的大小,可以有效促进物流服务供应链的质量协调。     

The impact of information sharing on ordering policies to improve supply chain performances

Bullwhip effect represents the amplification and distortion of demand variability as moving upstream in a supply chain, causing excessive inventories, insufficient capacities and high operational costs. A growing body of literature recognizes ordering policies and the lack of coordination as two main causes of the bullwhip effect, suggesting different techniques of intervention. This paper investigates the impact of information sharing on ordering policies through a comparison between a traditional (R, S) policy and a coordination mechanism based on ordering policy (a combination of (R, D) and (R, S) policies). This policy relies on a slow, easy to implement, information sharing to overcome drawbacks of the effect, in which replenishment orders are divided into two parts; the first is to inform the upstream echelons about the actual customer demand and the second is to inform about the adjustment of the inventory position, smoothing at the same time the orders of the different levels of the supply chain. A simulation model for a multi-echelon supply chain quantifies the supply chain dynamics under these different policies, identifying how information sharing succeeds to achieve an acceptable performance in terms of both bullwhip effect and inventory variance.     

Impact of the integration of tactical supply chain planning determinants on performance

In fulfilling customers’ orders, one of the goals of tactical supply chain planning is to satisfy the customers in terms of delivery efficiency, delivery quantity accuracy and on-time delivery. These performance objectives can be impacted by the way firms plan each of the three phases of the supply chain: procurement, production and distribution. Though the link between each of these phases and supply chain performance has been studied in extant literature, very few authors have considered all three phases at the same time. By adopting an integrated approach, this paper therefore aims to study the manner in which, taken together in one model, the planning determinants of the different phases impact on supply chain performance. It is important for managers to understand, from a holistic and integrated perspective, how a given combination of the planning determinants of the supply chain functions impacts positively or negatively on the performance of the supply chain. To carry out this study, this paper starts by proposing an integrated framework that is based on the SCOR model and the customer order decoupling point (CODP), followed by a five-step methodology for tactical supply chain planning. Then, using an analytical model and simulations, and based on a numerical example, it shows how the proposed methodology can be applied in a given decision-making situation. Our results enabled to identify the worst and the best combinations of planning determinants.     

Study on product quality tracing technology in supply chain

Nowadays, the product quality collaborative control technology in supply chain have been concentrated on by many researchers, however, tracing is still a less talking topic among them. Aiming to solve the quality tracing problem in supply chain, a methodology of designing information systems for traceability is proposed in this paper. Based on the former theories, the structures and models of quality tracing in supply chain are firstly introduced, also with a deep discussion on failure diagnosis technology and tracing system design, then a product quality tracing system in supply chain is established, which can provide an easier way and a new sight for the quality control in SCM (Supply Chain Management). Finally, a sample system is showed to illustrate the methodology.     

Enterprise modelling methodology for forward and reverse supply chain flows integration

The paper proposes a new enterprise modelling methodology called ERE-GIO applicable to supply chain reengineering and integration. It is based on two major phases: reverse engineering of the supply chain and then forward engineering. It takes advantages of previous enterprise modelling methodologies, especially CIMOSA. The application of the defined methodology on the logistics flow of an industrial company has allowed the integration of the reverse logistics flows in the traditional supply chain, thanks to the modelling of business processes and the flows related to it.     

The effects of business systems leveraging on supply chain performance: Process innovation and uncertainty as moderators

Rooted in the profit-seeking motives of social exchange theory, this study aims to investigate the factors that facilitate leverages of firm’s business systems and their sharing of information with group members, as well as the impacts of business systems leveraging (BSL) on information sharing and supply chain performance. Simultaneously, the moderating effects of uncertainty and the degree of process innovation on the relationship between BSL and supply chain performance are also estimated. The analytical results indicated that proactive technological orientation, information technology (IT) connectivity, supply chain member pressure, and member relationship quality encourage firms to combine their business systems with those of other business partners. Interestingly, in a situation where there is high demand and an uncertain supply, the impact of BSL on supply chain performance is low, while the moderating effect of process innovation on the relationship between BSL and supply chain performance is significant. Finally, it is suggested that firms implementing BSL work to upgrade their technology maintain tight relationships with supply chain partners and create innovation in all aspects of their business processes in order to survive in the highly competitive IT environment.