Intangible capital,knowledge and new product development competence in supply chains: process,interaction and contingency effects among SMEs

Leveraging the strengths of a firm’s supply chain partners for new product development (NPD) has become essential to satisfy rapidly changing customer demands and to remain competitive. Firms are, therefore, aiming to further their NPD competence, which we define as the ability of the supply chain to improve and generate new products and services, based on the processes and relationships established with suppliers and customers. This study examines how intangible capital and knowledge further the development of NPD competence within the context of a supply chain. A theoretical model, based upon resource-advantage theory, is tested via structural equation modelling utilising survey data collected from 195 small- and medium-sized enterprises in the manufacturing industry reporting on their primary supply chain. Our findings indicate that more easily transferable capital manifests itself in explicit knowledge and less easily transferable capital manifests itself in tacit knowledge. We further identify complementarities of the two types of intangible capital as influencing knowledge type development. More importantly, we find that the two types of knowledge differ in their ability to influence NPD competence in the supply chain, and that these links are moderated by relationship length. Supply chain management implications for academics and practitioners are presented.     

Overcoming Undesirable Knowledge Redundancy in Territorial Clusters

This work analyzes the existence of redundant knowledge associated with geographic networks of firms. Specifically, our research focuses on how firms can avoid inefficient redundancy ties derived from territorial clusters. We propose that firms embedded in a dense and strong-tie network generate redundant knowledge flows. However, they may use structural dispersion to mediate and overcome this limitation. Our empirical study was conducted drawing on the Spanish ceramic tile industrial cluster to test the potential association between social capital and redundancy. Our findings support the idea that structural dispersion mediates the effects of strong ties and the generation of knowledge redundancy.     

The organizational impact of technological change: a comparative theory of national institutional factors

This paper offers a parsimonious theory of national institutionalfactors that promote or inhibit the formation of start-up firmsin the USA and Japan. Three factors are proposed: the technicallabor market, the venture capital market and the structure ofbuyer-supplier ties. Complementarities between these factorscause them to work as a system, while their differences elevateor reduce the level of incentive constraints and appropriabilityconstraints acting on incumbent and start-up firms respectively.As a result, incumbents might be displaced in an industry inone country while incumbent firms in the same industry in anothercountry might persevere, due to the presence or absence of start-upfirms. This suggests that there may be no single best way toorganize for innovation in different institutional settings;rather, firms must seek to exploit the virtues of their environment,even as they act to mitigate the hazards it poses.     

Global sensitivity analysis and aggregation of risk in multi-product supply chain networks

Manufacturing firms manage complex supply chain networks which are exposed to a plethora of hazard events. An essential part of the risk management process is the calculation of the stand-alone risk exposures of the product-specific supply chains, but also of the entire multi-product system. In this paper, first, a global sensitivity analysis of the statistical supply chain risk model is conducted. This method helps the decision-makers to understand the risk of the model they are using. Second, a methodology for risk aggregation in multi-product supply chain networks is proposed. The real-world data is used to analyse and validate the model. Supply chain managers equipped with the proposed method will better cope with the risk in supply chains for different product configurations.     

Network positioning and risk perception in servitization: evidence from the UK road transport industry

For manufacturing firms, the integration of advanced services into their customer offerings has become a crucial decision. Such commercial decisions require weighting the risks and rewards of implementing a business model based on advanced services. While academic experts acknowledge uncertainty of returns on investment despite potential advantages, research generally fails to address the challenge of calculating the actual risks involved in ‘servitization’. This paper seeks better understanding of managers’ risk perception and of servitization implications for strategic partnerships and network positioning, while considering the impact of factors such as entry barriers, technological knowledge and position in the supply chain (SC). Qualitative evidence is drawn from an industrial case study involving firms in the UK’s road transport industry: 14 in-depth interviews with senior executives from seven companies (manufacturers, operators, technology providers). During interviews, a payment card exercise measured risk perception and willingness to take strategic ‘make-or-buy’ decisions. Results suggest that implementing advanced services is perceived as a high-risk strategy, especially when firms lack in-house technological knowledge. However, collaborative strategic partnerships within supply chain networks can mitigate this risk and prove crucial to building entry barriers against external competitors. Based on these findings, implications for network positioning are developed.     

Identifying the competitive determinants of firms’ green supply chain capabilities under uncertainty

The link between green supply chain (GSC) and firm performance has been thoroughly studied, and it has been argued that firms are unlikely to perform well if they apply their capabilities in isolation. However, there is a lack of studies that identify the competitive determinants, the critical success factors, of GSC capabilities of firms, and the evaluation of GSC capabilities is predisposed to subjective and linguistic preferences. This study proposes to address the vague nature of qualitative measures using the fuzzy Delphi method to filter the measures and the fuzzy analytic network process to deal with the linguistic preferences in hierarchical structure of firms’ GSC capabilities. Data were collected from supply chain networks of electronic industry in Taiwan. This study presents empirical evidence of firms’ GSC capabilities, concluding that cost is the top competitive determinant and the environmental costs is the top priority of GSC capability.     

An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition

We propose an efficient bio-inspired algorithm for design of optimal supply chain networks in a competitive oligopoly markets. The firms compete in manufacture, storage and distribution of a product to several markets. Each firm aims at maximisation of its own profit by optimising the design capacity and product flow in the supply chain. We model the supply chain network as a multi-layer graph of manufacturing nodes, distribution nodes and storage centres. To optimise the network, we adopt the mechanisms of a foraging behaviour of slime mould Physarum polycephalym. First, we extend the original Physarum model to deal with networks with multiple sources and sinks. Second, we develop a novel method to solve the user equilibrium (UE) problem by exploiting the adaptivity of the Physarum model: we update the link costs according to the product flow. Third, we refer to an equivalent transformation between system optimum problem and UE problem to determine the optimal product flows and design capacities of a supply chain. At last, we present an approach to update the amount of product supplied by each firm. By comparing our solutions with that in Nagurney (2010b) on several numerical examples, we demonstrate the efficiency and practicality of the proposed method.     

Strategic supply chain development by integration of key global logistical process linkages

As manufacturing firms search relentlessly for sources of competitive advantage, a greater emphasis is developing on supply chain management as a means of achieving differentiation in a firm's strategic position. Currently, some researchers are focusing on effective 'end to end' management of key logistical process linkages within the supply chain, as a means of achieving sustainable competitive advantage that is difficult for competitors to emulate. The emphasis presented is on improved delivery performance and customer service. This involves defining optimized balances between supply chain parameters, the achievement of which should result in reduced cost, improved use of working capital, better asset utilization and optimized intra-supply-chain usage. This paper discusses the development of a model and illustrates an application in a major multinational steel producer. Progress has been made in understanding the logistical processes that are used to manage supply chain linkages and, importantly, in understanding the feed-forward and feedback linkages that are necessary to enable supply chain management to be more effective. A generic model for a tiered approach to the planning and scheduling of manufacturing supply chains is thus presented. Ideas for further work are described.     

Bottleneck identification in supply chain networks

In supply chain risk management, it is essential to identify firms that induce high losses due to supply chain disruptions in a focal firm or the supply chain network as a whole (bottlenecks). In this article, we describe supply chain networks as complex systems of firms and their suppliers. We revisit some established network measures and compare their predictions with a new methodology for detecting bottlenecks. In this bottom-up approach, production disruptions on the firm level are modelled with stochastic point processes, and a mechanism for the propagation of losses through the network is defined. The individual firms' emerging loss contributions to the total losses of the focal firm provide, then, an alternative risk-adjusted measure. Our methodology and findings enable more informed and transparent decisions to be made for optimal supply chain network design.     

Coordinating loan strategies for supply chain financing with limited credit

In this paper, we design a supply chain financing (SCF) system with a manufacturer, a retailer and a commercial bank where the retailer is capital constrained under demand uncertainties. We formulate a multi-level Stackelberg game in which the manufacturer acts as the leader and the bank as the sub-leader. Considering the bankruptcy risks of the retailer, we analyze the optimal credit line for the commercial bank, the optimal order for the retailer and the optimal wholesale price for the manufacturer, respectively. Comparing the benchmark scenarios of no capital constraint and constrained capital without financing, interdependencies between the operational and financial decisions are explored, as well as coordination analysis of the wholesale price contract with different credit lines. Finally, by conducting numerical studies, interactions between the operational and financial decisions and the impacts of credit lines on contract coordination are illustrated. The results validate our theoretical analysis. Our analysis suggests that a suitable financing scheme with limited credit would motivate the capital-constrained retailer to order more and the wholesale price contract with finite loans would achieve coordination in the SCF system.     

Host-country Absorption of Technology: Evidence from Automotive Supply Networks in Eastern Europe

This paper provides an analysis of technology transfer in automotive supply networks in six EU candidate countries with important vehicle (component) industries. We survey more than 400 firms, representing roughly half of the automotive supply industry. In addition, we have in-depth information from 39 case studies. We address the generation, the origin, and the quality of technology transfer. In terms of generation, we look at the determinants of who receives technology along the value chain, and who passes it on. In terms of origin, we compare local and foreign-owned firms and those with mixed ownership. We also compare differences across the countries. In terms of quality, we discuss the change-inducing effects of technology as perceived by recipient firms. Our results confirm the salience of networks and the key role of MNCs for the generation and diffusion of technology. We also find that diffusion of technology happens within the countries so that host countries absorb more technology than is immediately apparent and commonly believed.     

Digitalization for supply chain resilience and robustness: The roles of collaboration and formal contracts

Black swan events such as the coronavirus (COVID-19) outbreak cause substantial supply chain disruption risks to modern companies. In today’s turbulent and complex business environment, supply chain resilience and robustness as two critical capabilities for firms to cope with disruptions have won substantial attention from both the academia and industry. Accordingly, this study intends to explore how digitalization helps build supply chain resilience and robustness. Adopting organizational information processing theory, it proposes the mediating effect of supply chain collaboration and the moderating effect of formal contracts. Using survey data of Chinese manufacturing firms, the study applied structural equation modelling to test the research model. Results show that digitalization has a direct effect on supply chain resilience, and supply chain collaboration can directly facilitate both resilience and robustness. Our study also indicates a complementary mediating effect of supply chain collaboration on the relationship between digitalization and supply chain resilience and an indirect-only mediation effect on the relationship between digitalization and supply chain robustness. Findings reveal the differential roles of digitalization as a technical factor and supply chain collaboration as an organizational factor in managing supply chain disruptions. Paradoxically, formal contracts enhance the relationship between digitalization and supply chain resilience but weaken the relationship between supply chain collaboration and supply chain resilience. The validation of moderating effects determines the boundary conditions of digitalization and supply chain collaboration and provides insights into governing supply chain partners’ behavior. Overall, this study enhances the understanding on how to build a resilient and robust supply chain.     

Entrepreneurial networks and open innovation: the role of strategic and embedded ties

This paper considers the open innovation paradigm in the context of entrepreneurial firms. Based on an analysis of survey data, it examines the relationship between network ties and innovation. These are considered as the strategic network ties associated with open innovation and the embedded ties associated with entrepreneurial networks. It is found that both strategic and embedded ties are significantly associated with rates of innovation for entrepreneurial firms, although for the former this relationship is driven by a minority of larger or highly innovative firms. Strategic ties are most strongly linked to product and organisational innovations, whilst process innovations are more related to embedded network ties. There is some evidence of complementarity between the two forms of network tie. It is concluded that in the entrepreneurial context, the open innovation concept should be broadened to encompass the role performed by embedded network ties.     

供应链网络的无标度特性研究

考虑了供应链网络中企业节点增加和脱离的情况,利用修正的BA模型分析了供应链网络演化中企业节点连接度的分布特征。研究表明,在供应链网络中,仅有少数核心厂商能够获得网络中大多数连接,其连接度的概率分布与其连接度成反比;结论指出,在供应链网络中的企业节点同步增加或删除的情况下,供应链网络中结点的连接度的概率分布服从参数为γ(1<γ≤2)的幂率分布,对大企业实施供应链战略管理提供了依据。     

“System-of-systems” approach for interdependent critical infrastructures

The study of the interdependencies within critical infrastructures (CI) is a growing field of research as the importance of potential failure propagation among infrastructures may lead to cascades affecting all supply networks. New powerful methods are required to model and describe such “systems-of-systems” (SoS) as a whole. An overall model is required to provide security and reliability assessment taking into account various kinds of threats and failures. A significant challenge associated with this model may be to create “what-if” scenarios for the analysis of interdependencies. In this paper the interdependencies between industrial control systems (ICS), in particular SCADA (Supervisory Control and Data Acquisition), and the underlying critical infrastructures to address the vulnerabilities related to the coupling of these systems are analyzed. The modeling alternatives for system-of-systems, integrated versus coupled models, are discussed. An integrated model contains detailed low level models of (sub)systems as well as a high level model, covering all hierarchical levels. On the other hand, a coupled model aggregates different simulated outputs of the low level models as inputs at a higher level. Strengths and weaknesses of both approaches are analyzed and a model architecture for SCADA and the “system under control” are proposed. Furthermore, the HLA simulation standard is introduced and discussed in this paper as a promising approach to represent interdependencies between infrastructures. To demonstrate the capabilities of the HLA standard for the interdependencies study, an exemplary application and some first results are also briefly presented in this paper.     

Distributed supply chain network modelling and simulation: integration of agent-based distributed simulation and improved SCOR model

Agent-based distributed simulation is an efficient methodology for modelling and analysing such complex adaptive systems as dynamic supply chain networks. However, it lacks an acceptable generic standard. Supply chain operations reference (SCOR) model is a cross-functional framework widely accepted as an industry standard. It provides the standard processes, performance metrics, best practices and associated software functionalities for modelling, evaluating and improving supply chain networks. However, it is a static tool. Integration of agent-based distributed simulation and SCOR model can exploit their advantages to form a generic methodology for modelling and simulation of a wide range of supply chain networks. Therefore, this paper proposes a methodology for distributed supply chain network modelling and simulation by means of integration of agent-based distributed simulation and an improved SCOR model. The methodology contains two components: a hierarchical framework for modelling supply chain network based on the improved SCOR model and agent building blocks integrating the standard processes from the SCOR model. The hierarchical framework provides an approach for structure modelling in any level with different granularities based on the improved SCOR model, and allows rapidly mapping a supply chain network into the structure model of a multi-agent system; while agent building blocks are quite useful and convenient to fill the structure model to fulfil its function modelling. With the approach of structure modelling and function filling, not only can the process of agent-based supply chain network modelling be accelerated, but also the built models can be reused and expanded. Because the hierarchical framework is based on the conceptual framework of SCOR model and agent building blocks integrate the standard processes from SCOR model, the proposed methodology is more generic. In addition, the issues of sub-model synchronisation and data distribution management in the agent-based distributed simulation implementation are taken into consideration and the corresponding solutions for these issues are proposed. Finally, an example of a supply chain network is modelled and implemented to illustrate the proposed methodology and related solutions.     

双渠道订单农业供应链违约问题研究

为了分析双渠道情况下“保底收购,随行就市”型订单农业中的违约风险,减少农业合同违约率,利用博弈理论来描述农户和公司之间的交易过程和违约机理,基于逆向归纳法获得公司和农户的最优收购价和最优产量,探讨其分别在集中决策、分散决策以及纳什协商决策模式下的利润分配和行为选择。论文研究发现,在分散决策模式下的合约设计对农户有利,对公司不利,公司存在违约风险;纳什协商模型下的合约设计对农户和公司的利润水平均有利,双方均不会主动违约,该模型下的供应链可以达到稳定状态。同时纳什协商模型下的供应链整体利润大于分散决策模型下的供应链整体利润,且等于集中决策时的供应链利润,该模型可以实现供应链的完美协调。     

The impact of the cost of quality on serial supply‐chain network design

This paper presents a model for supply‐chain design that considers the Cost of Quality as well as the traditional manufacturing and distribution costs (SC‐COQ model). It includes three main contributions: (1) the SC‐COQ model internally computes quality costs for the whole supply chain considering the interdependencies among business entities, whereas previous works have assumed exogenously given Cost of Quality functions; (2) the SC‐COQ model can be used at a strategic planning level to design a logistic route that achieves a maximum profit while considering the overall quality level within a supply chain; and (3) we provide two solution methods based on simulated annealing and a genetic algorithm and perform computational experiments on test instances.     

A survey of semiconductor supply chain models part I: semiconductor supply chains,strategic network design,and supply chain simulation

Supply chain management issues have become increasingly important to the semiconductor industry over the last two decades due to the global distribution of facilities and increasing numbers of firms specialising in particular stages. This series of three papers reviews the literature on modelling and analysis of the larger semiconductor supply chain. After describing the structure of semiconductor supply chains to provide context for the research efforts, we propose a classification scheme for the relevant literature. The remainder of this paper (Part I) then focuses on Strategic Network Design models for this industry, supply chain coordination through contracting and semiconductor supply chain simulation. Part II discusses Demand Planning, Inventory Management and Capacity Planning, while Part III addresses Master Planning, Production Planning and Demand Fulfilment.     

The determinants of supply chain alliance performance: an empirical study

This paper assesses relationship characteristics in supply chain alliances and their effects on alliance performance in supply chains in the context of manufacturing firms drawing on the theory of social exchange and goal interdependence. The results from AVAS analysis show that relationship stability, trust of supplier, relational capital and commitment exert significant effects on the performance of supply chain alliances. These results offer implications for researchers examining the performance of supply chain alliances. Research limitation and future research are discussed.