An improved spanning tree approach for the reliability analysis of supply chain collaborative network

A higher degree of reliability in the collaborative network can increase the competitiveness and performance of an entire supply chain. As supply chain networks grow more complex, the consequences of unreliable behaviour become increasingly severe in terms of cost, effort and time. Moreover, it is computationally difficult to calculate the network reliability of a Non-deterministic Polynomial-time hard (NP-hard) all-terminal network using state enumeration, as this may require a huge number of iterations for topology optimisation. Therefore, this paper proposes an alternative approach of an improved spanning tree for reliability analysis to help effectively evaluate and analyse the reliability of collaborative networks in supply chains and reduce the comparative computational complexity of algorithms. Set theory is employed to evaluate and model the all-terminal reliability of the improved spanning tree algorithm and present a case study of a supply chain used in lamp production to illustrate the application of the proposed approach.     

Understanding supplier structural embeddedness: A social network perspective

Despite a significant amount of attention, the potential of supplier structural embeddedness (i.e., the value of the structural position in an extended network) to improve the performance of a buying firm remains poorly understood. This study drew on the social network theory to empirically examine a conceptual framework specifying a relationship between the efforts of a buying firm to understand supplier structural configuration and operational and financial performance. This study also examines how the comprehension of structural embeddedness is transformed into performance for a buying firm through relational embeddedness (i.e., the strength of a dyadic relationship). Survey data collected from companies in the U.S. were analyzed using hierarchical regression analysis. The results indicate that the understanding of the structural dimension does help to enhance operational performance of a buying firm, but it does not lead to better financial performance. Empirical evidence shows that a buying firm does improve the quality of a dyadic relationship between the buying firm and a supplier by understanding how the supplier is connected to other firms and what positional values are produced. Further, relational embeddedness is found to mediate the influence of the enhanced understanding of the structural configuration on operational performance.     

The impact of supply chain integration on performance: A contingency and configuration approach

This study extends the developing body of literature on supply chain integration (SCI), which is the degree to which a manufacturer strategically collaborates with its supply chain partners and collaboratively manages intra- and inter-organizational processes, in order to achieve effective and efficient flows of products and services, information, money and decisions, to provide maximum value to the customer. The previous research is inconsistent in its findings about the relationship between SCI and performance. We attribute this inconsistency to incomplete definitions of SCI, in particular, the tendency to focus on customer and supplier integration only, excluding the important central link of internal integration. We study the relationship between three dimensions of SCI, operational and business performance, from both a contingency and a configuration perspective. In applying the contingency approach, hierarchical regression was used to determine the impact of individual SCI dimensions (customer, supplier and internal integration) and their interactions on performance. In the configuration approach, cluster analysis was used to develop patterns of SCI, which were analyzed in terms of SCI strength and balance. Analysis of variance was used to examine the relationship between SCI pattern and performance. The findings of both the contingency and configuration approach indicated that SCI was related to both operational and business performance. Furthermore, the results indicated that internal and customer integration were more strongly related to improving performance than supplier integration.     

A longitudinal study of supply organizational change

This research examines the high level of change in supply organizations of large North American companies using data collected from 51 large North American supply organizations in 1987, 1995 and 2003. Analysis is supplemented by an additional 55 companies for which data were collected in 1995 and 2003. The availability of longitudinal data from individual companies over a 16-year period provided a unique opportunity to trace changes made to each company's supply organizational structure and their roles and responsibilities. Findings suggest that the respondents made major changes in supply organizational structure, supply chain responsibilities, use of purchasing teams, supply involvement in major corporate activities (MCA) and CPO reporting line, title and background.     

Creating supply chain relational capital: The impact of formal and informal socialization processes

Establishing closer social ties between buying and supplying organizations is increasingly cited as a critical differentiator of high and low performers in global supply chains. While the creation of relational capital within an organization is a relatively well identified concept in organizational research, comparatively little research exists on the inter-organizational socialization processes that create relational value in supply chains. In our research, we extend theoretical models of group social conduits into this context, and develop a model that posits the impact of formal and informal socialization processes on the creation of relational capital between buyers and suppliers. Results from our study of 111 manufacturing organizations in the United Kingdom suggest that informal socialization processes are important in the creation of relational capital, which in turn can lead to improved supplier relationship outcomes. Formal bridging socialization conduits appear to play a lesser role in deriving these benefits.     

Development and validation of a measurement instrument for studying supply chain management practices

It is widely argued that competition is no longer between organizations, but among supply chains. Effective supply chain management (SCM) has become a potentially valuable way of securing competitive advantage and improving organizational performance. This research conceptualizes, develops, and validates six dimensions of SCM practices (strategic supplier partnership, customer relationship, information sharing, information quality, internal lean practices, and postponement). Data for the study were collected from 196 organizations and the measurement scales were tested and validated using structural equation modeling. It is hoped that this study will provide a parsimonious measurement instrument to assess the performance of the overall supply chain.     

A supply chain network equilibrium model with a smoothing newton solution scheme

ABSTRACT

Considering that a supply chain comprises several independent decision makers, a supply chain network equilibrium model that consists of manufacturers, retailers and consumers is developed. After analysing the optimal conditions of various decision makers in the model, the equilibrium condition is established as an equivalent, finite-dimensional variational inequality formulation and is solved by a smoothing Newton method. The global and quadratic convergence of the method is established. The numerical results show the rapid convergence of the method. Additionally, the rapid convergence of the smoothing Newton method is beneficial when solving a complicated network model in the real world.     

The effects of IT-enabled supply chain process change on job and process outcomes: A longitudinal investigation

Prior research on information technology (IT)-enabled supply chain management (SCM) has primarily focused on macro-level issues (e.g., IT capabilities related to SCM, and SCM design and optimization) and outcomes (e.g., firm performance). There has been limited research that focuses on micro-level outcomes related to employees who actually execute SCM processes in organizations. These employee-level outcomes are important because successful implementation of SCM systems and processes hinges on SCM employees’ support and commitment. I develop and test a model positing that SCM employees’ perceptions of changes in their work process characteristics, i.e., process complexity and process rigidity, following a new SCM system implementation will influence their job outcomes, i.e., job performance, job satisfaction, job anxiety, and job security, and their perceptions of process outcomes, i.e., process performance and relationship quality. The model incorporates a holistic appraisal of the extent of change—change radicalness—as a mechanism between work process characteristics and outcomes. The model is supported in three studies conducted in the context of three different SCM system implementations (N = 278, 282, and 304, respectively). In particular, I found that individuals perceived a significant change in their work process characteristics following an SCM system implementation, and changes in work process characteristics had a significant impact on job and process outcomes. These findings contribute to the information systems and operations management literatures and their intersections by offering insights on challenges related to IT-enabled SCM innovation implementation in organizations.     

Toward a structural view of co-opetition in supply networks

Co-opetition, or simultaneous competition and cooperation, in the supply chain management literature has been treated as a dyadic relational phenomenon where the buyer's strategy is considered to be the primary driver. In this paper, we move beyond the dyadic view and propose a theory of co-opetition in supply networks. We argue that as firms within a supply network interact over time to access, share, and transform resources, new ties between firms are formed and existing ties dissolve, giving rise to co-opetition dynamics at the network level. Taking a configurational approach, we employ the inter-related dimensions of ties between firm, firm-level task, network-level objective, and governance to specify four practical supply network archetypes that cover a wide range of economic activities. We then explain how coopetitive relationships may evolve in these supply network archetypes. Specifically, we discuss how relationships form or dissolve in these archetypes and how local structural changes lead to co-opetition dynamics at the network level. We also discuss the implications of such dynamics from a managerial perspective.     

Lock-in situations in supply chains: A social exchange theoretic study of sourcing arrangements in buyer–supplier relationships

Social exchange theory is used to gain a better understanding of the relationship between a buyer and a supplier that is characterized by lock-in situations. We begin by reviewing the theoretical foundations of social exchange theory. Next, we use an illustrative multinational business example from a Danish Business Group to demonstrate the complexities of the lock-in situation. Conjectures related to lock-in behaviors are initially developed and then examined by means of a game-theoretic model. The analysis provides a basis for the development of propositions which are examined employing a behavioral experiment. The results indicate that the optimal pricing strategy of the supplier is to lower the price with increasing demand and the optimal investment intensity of the buyer decreases with increasing demand. The paper concludes by presenting directions for future research.     

Metropolitan patenting, inventor agglomeration and social networks: A tale of two effects

We investigate the separate effects on metropolitan patenting of inventor agglomeration and the structure of social networks linking inventors within and across metropolitan areas in the United States between 1977 and 2002. Using patent data we have been able to assign a metropolitan location to individual inventors, link inventors who have co-authored patents, and characterize the structural features of the networks linking inventors. Our main question concerns the relative importance of salient features of the social networks linking inventors on metropolitan patenting productivity. We find that agglomerative features of metropolitan areas are more important determinants of metropolitan patenting productivity than structural feature of the inventive networks. While the aggregation of isolated inventors correlates positively with patenting productivity, density of connections correlates negatively.     

Diffusion of environmental business practices: A network approach

The purpose of this research is to build a conceptual foundation that examines network effects on the diffusion of environmental business practices (EBP) among suppliers. This research extends a network perspective to adoption of an environmental business practice across a large network of suppliers. The context of EBP is used to better understand adoption of a complex business practice, with perceived costs that are often greater than the perceived benefit. Variation in the level of structural and relationship embeddedness affect network diffusion of environmental business practices differently. Increased levels of structural and relational embeddedness are proposed to be positively associated with diffusion of EBP. From a practical standpoint, firms that leverage embeddedness may facilitate higher diffusion and adoption of environmental business practices. This facilitation may lead network actors to engage in EBP, and leverage benefits that may stem from these practices. This research introduces the concept of embeddedness to the environmental supply chain literature. Practicing managers can use the findings in this research to better position themselves within a network to diffuse EBP. This research also helps managers understand how supply chain members that are weakly connected to the primary network are important for introducing new ideas and innovations.     

Barriers to supply chain information integration: SMEs adrift of eLands

The literature extols the potential benefits of supply chain integration and the crucial role of integrated eBusiness to deliver those benefits. However, adoption of eBusiness in supply chains has been slower than expected, particularly in small to medium sized enterprises (SMEs). This paper reports findings of a longitudinal study of four supply chains in different sectors over a 4-year period. Specifically it examines the barriers to adoption of eBusiness technologies and therefore to achievement of integrated information in supply chains. Differences between firms in supply chains and between supply chains are examined. The study reveals disparity between existing and planned use of eBusiness by larger downstream firms compared to upstream SMEs. The SMEs are cautious, only planning to invest in eBusiness if dominant downstream customers force them; however, they do not appreciate the full benefits to be gained from eBusiness adoption. The downstream larger businesses are forging ahead with eBusiness in ‘eIsolation’ and are not providing supply chain leadership. They are creating eLands with SMEs adrift of them.     

Uncovering the supplier selection knowledge structure: A systematic citation network analysis from 1991 to 2017

Because of the critical role supplier selection plays in organizational success, both practitioners and academics have expressed a strong interest in the subject area generating an extensive body of research. The volume and breadth of publications in this area makes it difficult to understand the knowledge structure of the field and the academic work that has influenced the evolution of the domain.This mixed-method study systematically reviews 246 papers that investigated supplier selection issues and were published between 1991 and 2017. We initially examined the statistics of papers by unveiling influential journals, affiliations and articles. Second, we utilized co-citation network analysis, an objective procedure to extract clusters of what has been researched in supplier selection literature. The study analytically retrieves six major knowledge clusters: 1) conceptual foundation of the field; 2) modeling of the procurement environment; 3) handling group-decision making and unprecise input data; 4) computational research; 5) green/sustainable research and 6) risk-based supplier selection. Finally, we conducted main path analysis to get an overview of the evolution of knowledge in the supplier selection field by uncovering its major paths and key articles.     

Antecedents of supply chain visibility in retail supply chains: A resource-based theory perspective

Although visibility has become a popular buzzword in the supply chain literature it remains an ill-defined and poorly understood concept. It is assumed that if companies across supply chains have visibility of demand, inventory levels, processes, etc., that organizational performance improves. This research explores the antecedents of high levels of supply chain visibility from a resource-based theory perspective across five different external supply chain linkages. We find that the level of visibility across these linkages differs considerably based on various contributing factors which are both technology and non-technology based. Using resource-based theory, we identify those factors that can give a sustainable competitive advantage to a supply chain linkage through a “distinctive” or high level of visibility.     

A replication and extension of quality management into the supply chain

As competition moves beyond a single firm into the supply chain, researchers are beginning to explore quality management (QM) in a supply chain context. The literature suggests that supply chain management (SCM) consists of internal practices, which are contained within a firm, and external practices, which cross organizational boundaries integrating a firm with its customers and suppliers. Supplier quality management and customer focus are two QM practices that are also clearly in the domain of SCM. In this study we investigate how these two supply chain management-related quality practices lead to improved performance and examine the practices that precede and mediate those relationships. In doing so, we replicate and extend the relationships among the QM practices and their effects on firm performance suggested in Kaynak [Kaynak, H., 2003. The relationship between total quality management practices and their effects on firm performance. Journal of Operations Management 21, 405–435] using survey data gathered from firms operating in the U.S. The inclusion of customer focus and supplier quality management in the QM model supports the importance of internal and external integration for quality performance. Implications of the results for researchers and practitioners are discussed, and further research implications are suggested.     

THE ECONOMICS OF NETWORKS: A SURVEY OF THE EMPIRICAL LITERATURE

Abstract.  Network effects, the increase in value of consuming a product if many other consumers use the same product, are a feature of many markets and in particular of many high-technology products. This paper surveys the burgeoning empirical literature that has developed especially during the last years. After theoretical work dominated the earlier years of research in this area, newer research has combined theoretical models with empirical studies and applied work with direct implications for public policy, marketing and company strategies. Furthermore, insights from the study of social networks have been applied to analyse how consumers interact with each other. The paper argues that a closer analysis of the network structure of consumer interaction promises fruitful future research avenues and advances in our understanding of how network effects operate.     

Linking forward and reverse supply chain investments: The role of business uncertainty

This paper explores managerial efforts in reverse supply chains (RSC), where the focus is on the capture and exploitation of used products and materials. The RSC can potentially reduce negative environmental impacts of extracting virgin raw materials and waste disposal. If so, investment in the reverse supply chain should not be made in isolation, but instead must be integrated with investments selected to improve the forward supply chain. After defining and operationalizing these constructs, a survey of plant managers was used to empirically assess the linkages between supply chain investments, organizational risk propensity (i.e., willingness to take risk) and business uncertainty. Reverse supply chain investment had two primary dimensions: reconditioning (i.e., high-value recovery) and recycling and waste management (i.e., low- or no-value recovery). Ongoing investment in the forward supply chain was significantly related to investment in recycling and waste management, but not to investment in reconditioning. Moreover, risk propensity was found to mediate the relationship between the external business uncertainty and investment in the forward and reverse supply chain.     

Content analytic approach to measuring constructs in operations and supply chain management

This paper presents and illustrates the content analytic approach to measuring constructs in operations and supply chain management (OSCM). In this paper, a methodological review of OSCM empirical research in 2002-2007 is provided to highlight that OSCM empirical studies, unlike those in other business disciplines, have rarely used content analysis as a methodological tool. This paper then reviews the methodological strengths of content analysis, which lie primarily in its malleability, economy of data collection, repeatability, and unobtrusiveness. These strengths not only make content analysis a viable empirical method but also position it as a method that can be used in concert with other empirical methods in OSCM research, such as survey, case study, and secondary research methodologies. This paper also proposes a generic framework for a content analytic approach to measuring theoretical constructs, illustrates the application of the framework to a construct in the OSCM literature (buyer-supplier relationalism), and reports the satisfactory results of reliability and validity tests for the content analysis-based measure of buyer-supplier relationalism. In addition, this paper proposes and demonstrates that the use of convergence study in tandem with content analysis can substantially reduce the content analysis efforts needed in measuring the construct of interest, thus improving the overall efficiency of the process of content analysis.