How Fractals Contribute to Supply Chain Management? An Initial Bibliometric and Social Network Analysis on Articles Indexed in Web of Science

2021 ◽  
pp. 121-130
Author(s):  
Nurcan Deniz
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Supply Chain Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Web Of Science ◽  
Chain Management

Social network analysis in supply chain management research

2016 ◽  
Vol 46 (8) ◽  
pp. 740-762 ◽  
Author(s):  
Barbara K. Wichmann ◽  
Lutz Kaufmann
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Supply Chain Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Chain Management ◽  
Content Type ◽  
Network Research ◽  
The Many ◽  
The Right

Purpose The purpose of this paper is to investigate when and how to best use social network analysis (SNA) in the supply chain management (SCM) discipline. In doing so, the study identifies SCM phenomena that have been examined from a social network perspective (SNA approach) in the SCM literature and highlights additional SCM phenomena that would be worth investigating using social network research. Then, the study critically investigates the application of SNA as a methodology (SNA method), with the goal of assessing and mitigating methodological risks in future studies. Design/methodology/approach This study carries out a systematic literature review of articles published in 11 top-tier SCM journals over a 20-year period. Findings First, while social network research has gained momentum especially since 2010, scholars are not yet entirely aware of the many possibilities the SNA approach offers to the SCM field. Second, expanded possibilities also hold for the development of SNA as a method. Originality/value The paper guides future SCM research by investigating when SNA is the right approach to use and how SNA as a method should be performed. Theoretically richer and practically more relevant research should result.

scholarly journals Social network analysis in operations and supply chain management: a review and revised research agenda

2020 ◽  
Vol 40 (7/8) ◽  
pp. 1153-1176 ◽  
Author(s):  
Yujia Han ◽  
Nigel David Caldwell ◽  
Abhijeet Ghadge
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Supply Chain Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Value Creation ◽  
Operations Management ◽  
Chain Management ◽  
Content Type ◽  
Contemporary Management

PurposeSocial network analysis (SNA) seeks to manage the connections between entities through investigating and understanding behaviours and relationships. This study demonstrates the increasing relevance of social network approaches to solving contemporary and looming operations management (OM) and supply chain management (SCM) problems; including the coordination operations challenges raised by increased connectivity.Design/methodology/approachThe systematic literature review approach adopted here examines 63 papers in OM and SCM published between 2000 and 2019. To-date OM reviews on SNA have focussed on discussing archetypal supply chains, what differentiates this study is the focus on how value was created in other forms of chains and operations.FindingsThis study reveals that current SNA adoption in OM is dominated by a manufacturing style focus on linear, sequential value creation, with a resulting focus only on sequential interdependence. SNA studies on reciprocally co-ordinated value creation (e.g. many service and network operations) are shown to have been neglected and are linked to a new agenda on contemporary management issues.Research limitations/implicationsBeyond encouraging the use of SNA, this study seeks to re-orient SNA approaches towards how contemporary services and networks create value.Originality/valueThrough adopting a unique combination of approaches and frameworks, this study challenges extant work to offer a substantially revised agenda for SNA use in Operations and Supply Chain Management.

SCM research leadership: the ranked agents and their networks

2019 ◽  
Vol 24 (6) ◽  
pp. 821-854 ◽  
Author(s):  
Sunil Babbar ◽  
Xenophon Koufteros ◽  
Ravi S. Behara ◽  
Christina W.Y. Wong
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Supply Chain Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Chain Management ◽  
Content Type ◽  
Network Measures ◽  
The World

Purpose This study aims to examine publications of supply chain management (SCM) researchers from across the world and maps the leadership role of authors and institutions based on how prolific they are in publishing and on network measures of centrality while accounting for the quality of the outlets that they publish in. It aims to inform stakeholders on who the leading SCM scholars are, their primary areas of SCM research, their publication profiles and the nature of their networks. It also identifies and informs on the leading SCM research institutions of the world and where leadership in specific areas of SCM research is emerging from. Design/methodology/approach Based on SCM papers appearing in a set of seven leading journals over the 15-year period of 2001-2015, publication scores and social network analysis measures of total degree centrality and Bonacich power centrality are used to identify the highest ranked agents in SCM research overall, as well as in some specific areas of SCM research. Social network analysis is also used to examine the nature and scope of the networks of the ranked agents and where leadership in SCM research is emerging from. Findings Authors and institutions from the USA and UK are found to dominate much of the rankings in SCM research both by publication score and social network analysis measures of centrality. In examining the networks of the very top authors and institutions of the world, their networks are found to be more inward-looking (country-centric) than outward-looking (globally dispersed). Further, researchers in Europe and Asia alike are found to exhibit significant continental inclinations in their network formations with researchers in Europe displaying greater propensity to collaborate with their European-based counterparts and researchers in Asia with their Asian-based counterparts. Also, from among the journals, Supply Chain Management: An International Journal is found to exhibit a far more expansive global reach than any of the other journals. Research limitations/implications The journal set used in this study, though representative of high-quality SCM research outlets, is not exhaustive of all potential outlets that publish SCM research. Further, the measure of quality that this study assigns to the various publications is based solely on a publication score that accounts for the quality of the journals, as rated by Association of Business Schools that the papers appear in and nothing else. Practical implications By informing the community of stakeholders of SCM research about the top-ranked SCM authors, institutions and countries of the world, the nature of their networks, as well as what the primary areas of SCM research of the leading authors in the world are, this research provides stakeholders, including managers, researchers and students, information that is helpful to them not only because of the insights it provides but also for the gauging of potential for embedding themselves in specific networks, engaging in collaborative research with the leading agents or pursuing educational opportunities with them. Originality/value This research is the first of its kind to identify and rank the top SCM authors and institutions from across the world using a representative set of seven leading SCM and primary OM journals based on publication scores and social network measures of centrality. The research is also the first of its kind to identify and rank the top authors and institutions within specific areas of SCM research and to identify future research opportunities relating to aspects of collaboration and networking in research endeavors.

scholarly journals Improvement of Green Procurement Performance in the Global Supply Chain: Evidence from Enterprise Resource Planning and Social Network Analysis

2021 ◽  
Vol 10 ◽  
pp. 173-194
Author(s):  
Muhammad Shabir Shaharudin ◽  
Syafiqa Suhaimi ◽  
Yudi Fernando ◽  
Wan Ahmad Fauzi Wan Husain ◽  
Suparman Shabir Suparman
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Supply Chain Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Operational Performance ◽  
Green Supply Chain ◽  
Chain Management

The purpose of this paper is to present a plan on how to improve the operational efficiency of the company during the Covid-19 period. Previous research has been reviewed in order to gain further knowledge of the problem; primarily on the operational performance, as well as on the supply chain management of the company. The results have shown that, on the basis of a social network analysis, the Procurement Engineer is the most influential individual in the management of information within the organization, where the Procurement Engineer is also the employee who has a strong link with the transfer of data to top management, the Ishikawa diagram indicates that the present environment is the primary cause of the company's problems in finding products, while the Tree diagram shows the only approach to the issue of insufficient employees is by supplying training for new or existing workers or by assigning staff from another department to serve permanently in a department where there is a lack of staff. In addition, the Enterprise Resource Planning (ERP) framework will strengthen the green supply chain management of the business as it will help to reduce the loss of time waiting for or processing the company's materials, thereby reducing the cost as well. This research offers proof of the pre-Covid 19 and post-Covid 19 impacts on green supply chain operational performance.

Past, present, and future low carbon supply chain management: A content review using social network analysis

2019 ◽  
Vol 218 ◽  
pp. 629-643 ◽  
Author(s):  
Muhammad Shabir Shaharudin ◽  
Yudi Fernando ◽  
Charbel Jose Chiappetta Jabbour ◽  
Robert Sroufe ◽  
Muhamad Fairuz Ahmad Jasmi
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Supply Chain Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Low Carbon ◽  
Chain Management ◽  
Carbon Supply ◽  
Content Review

scholarly journals Social network analysis and supply chain management

2016 ◽  
Vol 4 (1) ◽  
pp. 35 ◽  
Author(s):  
Raúl Rodríguez Rodríguez ◽  
Ramona D. Leon
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Social Network ◽  
Supply Chain Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Flows ◽  
Point Of View ◽  
Management Decision ◽  
Chain Management

<p>This paper deals with social network analysis and how it could be integrated within supply chain management from a decision-making point of view. Even though the benefits of using social analysis have are widely accepted at both academic and industry/services context, there is still a lack of solid frameworks that allow decision-makers to connect the usage and obtained results of social network analysis – mainly both information and knowledge flows and derived results- with supply chain management objectives and goals. This paper gives an overview of social network analysis, the main social network analysis metrics, supply chain performance and, finally, it identifies how future frameworks could close the gap and link the results of social network analysis with the supply chain management decision-making processes. </p>

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