Structural investigation of supply networks: A social network analysis approach
TL;DR: In this article, a theoretical framework relates key social network analysis metrics to supply network constructs and applies this framework to the three automotive supply networks reported in Choi and Hong (2002), each of the supply networks is analyzed in terms of both materials flow and contractual relationships.
About: This article is published in Journal of Operations Management.The article was published on 2011-03-01. It has received 569 citations till now. The article focuses on the topics: Supply network & Organizational network analysis.
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TL;DR: In this article, the authors proposed a novel analytical framework (Twitter Analytics) for analyzing supply chain tweets, highlighting the current use of Twitter in supply chain contexts, and further developing insights into the potential role of Twitter for supply chain practice and research.
372 citations
TL;DR: In this paper, an in-depth case study of the upstream oil and gas industry supply chain in Brazil was used to develop propositions about supply chains that operate in developing and emerging settings.
362 citations
TL;DR: In this paper, a theoretical development of multi-tier supply chain management by adopting an inductive case study research design is proposed, which is based on the case studies, propositions are built concerning how MSCs operate, and the results show the impact that the dynamics of the MSC have on power balance, structure, interdependence and relationship stability.
Abstract: Recent trends toward outsourcing and global sourcing have created longer, more complex and more fragmented supply chains. In this research, we aim to instigate a theoretical development of multi-tier supply chain (MSC) management by adopting an inductive case study research design. Following a multiple case research design, we investigate three-tier supply chains to develop a theory of MSC management. Each of the investigated supply chains consists of a buyer, supplier and supplier's supplier. Based on the case studies, propositions are built concerning how MSCs operate. As an underlying methodology, we first conduct a within-case analysis and then expand that analysis to the cross-case context. The results show the impact that the dynamics of the MSC have on power balance, structure, interdependence and relationship stability inherent in MSCs.
345 citations
TL;DR: This paper proposes that the structure of efficient supply chains follows a “scale‐free” network, and emerges from arguments that the key properties ofefficient supply chains are a short characteristic path length, a high clustering...
Abstract: Purpose – The purpose of this paper is to advance supply chain network theory by applying theoretical and empirical developments in complex network literature to the context of supply chains as complex adaptive systems. The authors synthesize these advancements to gain an understanding of the network properties underlying efficient supply chains. To develop a suitable theory of supply chain networks, the authors look to mirror the properties of complex network models with real‐world supply chains.Design/methodology/approach – The authors review complex network literature drawn from multiple disciplines in top scientific journals. From this interdisciplinary review a series of propositions are developed around supply chain complexity and adaptive phenomena.Findings – This paper proposes that the structure of efficient supply chains follows a “scale‐free” network. This proposal emerges from arguments that the key properties of efficient supply chains are a short characteristic path length, a high clustering...
337 citations
TL;DR: In this article, the authors examined the structural characteristics of supply networks and investigated the relationship between a firm's supply network accessibility and interconnectedness and its innovation output, and also examined potential moderating effects of absorptive capacity and supply network partner innovativeness on innovation output.
307 citations
Cites background from "Structural investigation of supply ..."
...CONCLUSION Through our empirical analysis, we find further evidence supporting the argument that network structures and supply network relationships that form supply networks are critical components for identifying strategic imperatives in supply chain management [6, 12]....
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...Firms who have this positional advantage in the supply network are referred to as central firms [12]....
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...The few empirical-based studies in this domain include the examination of the automotive industry [11, 12, 13] and logistics projects [14]....
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References
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TL;DR: In this paper, a simple model based on the power-law degree distribution of real networks was proposed, which was able to reproduce the power law degree distribution in real networks and to capture the evolution of networks, not just their static topology.
Abstract: The emergence of order in natural systems is a constant source of inspiration for both physical and biological sciences. While the spatial order characterizing for example the crystals has been the basis of many advances in contemporary physics, most complex systems in nature do not offer such high degree of order. Many of these systems form complex networks whose nodes are the elements of the system and edges represent the interactions between them.
Traditionally complex networks have been described by the random graph theory founded in 1959 by Paul Erdohs and Alfred Renyi. One of the defining features of random graphs is that they are statistically homogeneous, and their degree distribution (characterizing the spread in the number of edges starting from a node) is a Poisson distribution. In contrast, recent empirical studies, including the work of our group, indicate that the topology of real networks is much richer than that of random graphs. In particular, the degree distribution of real networks is a power-law, indicating a heterogeneous topology in which the majority of the nodes have a small degree, but there is a significant fraction of highly connected nodes that play an important role in the connectivity of the network.
The scale-free topology of real networks has very important consequences on their functioning. For example, we have discovered that scale-free networks are extremely resilient to the random disruption of their nodes. On the other hand, the selective removal of the nodes with highest degree induces a rapid breakdown of the network to isolated subparts that cannot communicate with each other.
The non-trivial scaling of the degree distribution of real networks is also an indication of their assembly and evolution. Indeed, our modeling studies have shown us that there are general principles governing the evolution of networks. Most networks start from a small seed and grow by the addition of new nodes which attach to the nodes already in the system. This process obeys preferential attachment: the new nodes are more likely to connect to nodes with already high degree. We have proposed a simple model based on these two principles wich was able to reproduce the power-law degree distribution of real networks. Perhaps even more importantly, this model paved the way to a new paradigm of network modeling, trying to capture the evolution of networks, not just their static topology.
18,415 citations
Book•
25 Nov 1994TL;DR: This paper presents mathematical representation of social networks in the social and behavioral sciences through the lens of Dyadic and Triadic Interaction Models, which describes the relationships between actor and group measures and the structure of networks.
Abstract: Part I. Introduction: Networks, Relations, and Structure: 1. Relations and networks in the social and behavioral sciences 2. Social network data: collection and application Part II. Mathematical Representations of Social Networks: 3. Notation 4. Graphs and matrixes Part III. Structural and Locational Properties: 5. Centrality, prestige, and related actor and group measures 6. Structural balance, clusterability, and transitivity 7. Cohesive subgroups 8. Affiliations, co-memberships, and overlapping subgroups Part IV. Roles and Positions: 9. Structural equivalence 10. Blockmodels 11. Relational algebras 12. Network positions and roles Part V. Dyadic and Triadic Methods: 13. Dyads 14. Triads Part VI. Statistical Dyadic Interaction Models: 15. Statistical analysis of single relational networks 16. Stochastic blockmodels and goodness-of-fit indices Part VII. Epilogue: 17. Future directions.
17,104 citations
TL;DR: In this article, three distinct intuitive notions of centrality are uncovered and existing measures are refined to embody these conceptions, and the implications of these measures for the experimental study of small groups are examined.
14,757 citations
TL;DR: In this article, structural holes are defined as network gaps between players which create entrepreneurial opportunities for information access, timing, referrals, and for control, and the structural holes also generate control benefits giving certain players an advantage in negotiating their relationships.
Abstract: The study analyzes the social structure of competition. It addresses the consequences of voids in relational and resource networks. Competitive behavior can be understood in terms of player access to \"holes\" in the social structure of the competitive arena. Those \"structural holes\" are network gaps between players which create entrepreneurial opportunities for information access, timing, referrals, and for control. A player brings capital to the competitive arena and walks away with profit determined by the rate of return where the capital was invested. The rate of return is keyed to the social structure of the competitive arena. Each player brings three kinds of capital to the competitive arena: financial capital, such as money and investments; human capital, such as his or her natural qualities and skills; and social capital, i.e. networks of other players. Social capital is the final determinant of competitive success. Something about the structure of a player's network (his or her relations with other players, such as colleagues, friends, and clients), and the location of the player's network in the structure of the arena defines the player's chances of getting higher rates of return. These chances are enhanced by two kinds of network benefits for those who can exploit structural holes: information and control. Opportunities for success are many, but it is information that plays a central role in seizing them; structural holes determine who knows about opportunities, what they know, and who gets to participate. Structural holes also generate control benefits, giving certain players an advantage in negotiating their relationships. Following sociological theory, a player who derives benefit from structural holes by brokering relationships between other conflicted players is called tertius gaudens. The essential tension in tertius strategies is not hostility of participants, but rather uncertainty; no one has absolute authority in the relationship under negotiation. The findings of empirical research indicate that structural holes are advantageous to suppliers and customers, but not to producers in their negotiated transactions, because suppliers and customers benefit from competition among producers. The information and control benefits of structural holes are advantageous to managers, and the managers who develop those benefits are an asset to the firm employing them. Managers with networks rich in structural holes often reach promotion faster. Hole effects are most evident for managers operating on a social frontier, i.e. in places where two social worlds meet. Social frontiers involve continual negotiations of the expectations of the manager and those of the people across the frontier, and thus more entrepreneurial skill is required. The most serious frontier is the political boundary between top leadership and the rest of the firm. To move up the corporate ladder, a manager has to transform his or her frame of reference from that of an employee protected by the firm, to that of a leader responsible for the firm. The findings also indicate that women and entry-rank men tend to be promoted earlier because they build hierarchical networks around a strategic partner who helps them break into higher ranks. Although the reported differences between the manager networks have clear implications for promotions, there are no differences among managers in their tendencies to have one network rather than another, which is especially striking with respect to the sex and rank differences that are observed to be important in distinguishing network effects. Structural holes provide a theoretical connection between micro and macro levels of sociological analysis. The structural hole argument extends other theories, such as personality theory, interface theory of markets and population ecology, and resource dependence and transaction cost theory
12,103 citations
Book•
01 Jan 1992
TL;DR: In this paper, the Tertius Gaudens Entrepreneurs Secondary Holes Structural Autonomy (SSA) model is used to control the number of holes in a network.
Abstract: Acknowledgments Introduction 1. THE SOCIAL STRUCTURE OF COMPETITION Opportunity and Capital Information Structural Holes Control and the Tertius Gaudens Entrepreneurs Secondary Holes Structural Autonomy Summary 2. FORMALIZING THE ARGUMENT Network Data Redundancy Constraint Hole Signature Structural Autonomy Summary 3. TURNING A PROFIT Product Networks and Market Profit The Study Population Hole Effects Market Hole Signatures Summary Appendix: Weighing Alternatives 4. GETTING AHEAD Contact Networks and Manager Achievement The Study Population Hole Effects Hierarchy Institutional Holes Selecting a Network Summary Appendix A: Weighing Alternatives Appendix B: Causal Order 5. PLAYER-STRUCTURE DUALITY Structural Unit of Analysis Players and Structures Escape from Attributes No Escape Summary 6. COMMIT AND SURVIVE Holes and Heterogeneity Interface and the Commit Hypothesis Population Ecology and the Survival Hypothesis Summary 7. STRATEGIC EMBEDDING AND INSTITUTIONAL RESIDUE The Other Tertius Strategy Hypothesis Formal Organization as Social Residue Personality as Emotional Residue Summary Notes References Index
10,616 citations