Leadership in OM research: a social network analysis of European researchers

Knowledge mapping of energy research in the hospitality industry to evaluation research collaboration

Analyzing collaborations on energy research in the hotel industry has important implications for promoting the research performance in this field. The Web of Science Core Collection from 1984 to 2022 was used to analyze the research contributions and cooperation networks and clusters at three levels: macro (national level), meso (institutional level), and micro (key authors and papers) using a bibliometric approach. The results show the following. (1) The cooperative relationship is the closest between China and the United States. Developed countries in Europe exhibit more academic cooperation. (2) There is a significant regional imbalance in the cooperation between universities. Leading universities rely on their strengths in energy research or hotel management and are often highly productive institutions. (3) The breadth of the authors' cooperation is insufficient. Collaborative research dominated by productive authors tends to focus on practical issues in the local hotel industry. The collaboration between experts from different disciplines benefits from the complementary advantages of these experts. (4) Hotel energy research has evolved from single-disciplinary research in the early days to interdisciplinary research in recent years. This paper provides visualizations of current conditions and deficiencies in existing research collaborations and provides a reference for analyzing the potential of research cooperation.

The relationship between citations and the linguistic traits of specific academic discourse communities identified by using social network analysis

For a research article (RA) to be accepted, not only for publication, but also by its readers, it must display proficiency in the content, methodologies and discourse conventions of its specific discipline. While numerous studies have investigated the linguistic characteristics of different research disciplines, none have utilised Social Network Analysis techniques to identify communities prior to analysing their language use. This study aims to investigate the language use of three highly specific research communities in the fields of Psychology, Physics and Sports Medicine. We were interested in how these language features are related to the total number of citations, the eigencentrality within the community and the intra-network citations of the individual RAs. Applying Biber’s Multidimensional Analysis approach, a total of 771 RA abstracts published between 2010 and 2019 were analysed. We evaluated correlations between one of three network characteristics (citations, eigencentrality and in-degree), the corpora’s dimensions and 72 individual language features. The pattern of correlations suggest that features cited by other RAs within the discourse community network are in almost all cases different from those that are cited by RAs from outside the network. This finding highlights the challenges of writing for both a discipline-specific and a wider audience.

Leadership and supply chain management: a systematic literature review

Purpose

This study aims to analyze the state of knowledge on the relationship between leadership and the firm’s supply chain. The study identifies and examines the existing literature, unveils research gaps and suggests future research directions.

Design/methodology/approach

Adopting a systematic review process, a total of 110 articles published in top-ranked academic journals (A* and A category as per ABDC-2019 list) were analyzed. Descriptive, cluster, thematic and regression analyses of citations were performed to garner insights.

Findings

The review outcome shows an upward trend of articles studying the influence of leadership in the supply chain. With the highest number of articles, developed countries and manufacturing companies have been the research contexts of the research studies. Clustering reveals eight significant areas where the leader’s involvement in the supply chain is discussed, with several sub-themes emerging within each cluster. Finally, the regression analysis of citations shows that only the journal’s quality matters the most in receiving the highest citation for the articles.

Research limitations/implications

As this study considered only A* and A-ranked journals of the ABDC-2019 list, there is a risk of excluding some relevant articles.

Originality/value

While the current literature deliberates on recent trends in the supply chain, such as the application of Industry 4.0 practices, this review revolves around the classical theme of leadership and demonstrates its importance in the supply chain. The study is among the first to conduct a bibliometric analysis of articles deliberating on leadership and supply chain issues by grouping the articles into clusters and themes. In the end, the clusters and themes were conceptualized into the “House of Supply Chain Leadership,” of which leadership forms the foundation.

MIS faculty collaboration in research and journal publication

Purpose

This study applies D3.js and social network analysis (SNA) to examine the impact of collaboration patterns, research productivity patterns and publication patterns on the Ministry of Education (MOE) evaluation policies across all Management Information Systems (MIS) departments in Taiwan.

Design/methodology/approach

This study first retrieved data from the Ministry of Science and Technology of Taiwan (MOST) website from 1982 to 2015, the Journal Citation Reports (JCR) website, the Web of Science (WOS) website and Google Scholar. Then it applied power-law degree distribution, cumulative distribution function, weighted contribution score, exponential weighted moving average and network centrality score to visualize the MIS collaborations and research patterns.

Findings

The analysis concluded that most MIS professors focused primarily on SCIE-/SSCI-/TSSCI-/core indexed journals after 2005. Professors from public universities were drawn to collaboration and publishing in high-quality-based journals, while professors from private universities focused more on quantity-based publications. Female professors, by contrast, have a slightly higher single-authorship publication rate in SCIE-/SSCI-/TSSCI-indexed journals than do male professors. Meanwhile, professors in northern Taiwan emphasized quantity-based journal publications, while a focus on quality was more typical in the south. Furthermore, National Cheng Kung University has the most single-authorship or intrauniversity publications in SCIE-/SSCI-/TSSCI-/core journals, and National Sun Yat-Sen University published more SSCI-indexed articles than SCIE-indexed articles. All of these findings show that there is an explicit relation between MOE evaluation policies and MIS faculty members' collaboration/publication strategies.

Originality/value

The above findings explain how MOE evaluation policies affected MIS faculty members' collaboration and publication strategies in Taiwan, and the authors hope that such findings can constitute a resource for understanding and characterizing networking with MIS departments in Taiwan.

Social network analysis and data visualization of MIS international collaboration in Taiwan

Purpose

The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.

Design/methodology/approach

The authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.

Findings

The authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.

Originality/value

This study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

Whom to appease and whom to circumvent: analyzing knowledge sharing with social networks

Purpose

In an academic and research institution of repute, where the student researcher’s creative mind and innovative potentials are the kingpin factors, it is of primary interest to segregate and pool competencies at an individual level and to create dynamic synergetic effects. Knowledge about potential core competencies and own resources, facilitation of existing personal relationships and the development of new personal relations and cooperation are necessary prerequisites. This is where social network analysis (SNA) acts as a useful tool for measuring the performance of knowledge sharing.

Design/methodology/approach

The current study makes a detailed analysis of the knowledge sharing network among the student researchers. The research study estimates different parameters such as knowledge sharing in various departments, the motivation for research and research environment. This work mainly attempts to undertake a differential analysis of the knowledge sharing pattern among the research scholars with the aid of Pajek software and R programming.

Findings

A holistic knowledge sharing network for the entire set of research scholars is established and the centrality features of the network and among the departments are analyzed, leading to a road map which deliberates on whom to appease and whom to circumvent.

Research limitations/implications

Every institute or organization can use the SNA to identify the key stakeholders in the knowledge sharing environment or the kingpin actors who are prone to knowledge hiding. Such useful identification of the vital stakeholders can give information on how to eliminate the barriers in the knowledge management systems, so that enhanced level of collaboration happens.

Originality/value

This is the first comprehensive SNA to decipher the knowledge sharing pattern among researchers. This work characterizes knowledge management research literature and thereby offers to reduce redundant research by delineating the possible avenues in the area of knowledge sharing.

The relationship between investments in lean practices and operational performance

Purpose

Prior research has shown that operational intellectual capital (OIC) and investments in lean practices (ILP) lead to better operational performance. However, there have been no empirical studies on the synergetic effects between OIC components and ILP. More specifically, the question – can the efficacy of ILP be increased through OIC? – has not been studied. Accordingly, the purpose of this paper is to report the empirical results of potential synergetic effects between OIC, as a knowledge-based resource, and ILP.

Design/methodology/approach

The empirical data used for this study were drawn from the fifth round of the Global Manufacturing Research Group survey project (with data collected from 528 manufacturing plants). The hypotheses are empirically tested using three ordinary least square (OLS) models.

Findings

The authors’ findings highlight the importance of leveraging a system of complementary knowledge-based resources (OIC dimensions) and addresses the need for the reformulation of lean theory in terms of the emergent knowledge-based view of the firm. The results facilitate greater understanding of the complex relationship between ILP and operational performance. Building on the contribution of Menoret al.(2007), the authors argue that OIC represents a strategic knowledge-based resource that is valuable, hard to imitate or substitute and, when leveraged effectively, generates superior operational and competitive advantage.

Practical implications

From a managerial standpoint, this study provides guidelines for managers on how to leverage OIC to enhance the efficacy of ILP. The authors argue that firms consider investing in OIC to increase the return from ILP, which, in turn, will enhance their operational performance and provide competitive advantage. The authors findings provide strong evidence of the importance of human, social and structural capital to enhance the efficacy of ILP.

Originality/value

This is the first research paper that extends the application of the intellectual capital theory in lean literature, and argues that the OIC contributes to the efficacy of ILP. The analysis facilitates greater understanding of the complex relationship between OIC dimensions, ILP and operational performance.

The role of OM EDEN in building the EurOMA community

Purpose

Doctoral education (DE) is central to the development and application of operations management (OM) thinking. The European Doctoral Educational Network (EDEN) seminar on research methodology in OM is a structured initiative developed in 1999 by European Operations Management Association (EurOMA) and European Institute for Advanced Studies in Management (EIASM). This intensive five-day seminar has run annually since and, to date, has engaged 486 students. The purpose of this paper is to ask: what role has the OM EDEN seminar played in the formation and academic career development of doctoral researchers, and how has it contributed to the development of EurOMA as a community of practice?

Design/methodology/approach

The authors developed a retrospective case on the design, launch and growth of the OM EDEN seminar employing two data gathering methods (collecting secondary and archival data, and a survey of four selected seminar participants) and a social network analysis.

Findings

The EDEN seminar is an effective educational intervention in developing doctoral researchers and their subsequent academic careers. The seminar has also contributed to EurOMA as a community of practice, bringing faculty together to teach, write and publish leading edge contributions in research methods for OM.

Research limitations/implications

The case is focused on the OM EDEN seminar only, within which the survey is limited to four of the early participants. While another set of participants might respond differently in detail, the authors’ expectation is that participant perception of the role of the seminar would not change. The paper provides an exemplar for European academic associations to guide how they might explore the formation and academic career development of doctoral candidates within a community of practice.

Practical implications

The seminar merits the ongoing support of EurOMA and EIASM, not just in educating doctoral students but also in bringing faculty together to publish leading edge contributions to the OM domain.

Social implications

The paper draws on the areas of student formation, academic career development and communities of practice to illustrate the role played by the OM EDEN seminar.

Originality/value

This paper is the first description, analysis and reflection on the role played by the OM EDEN seminar.

The diffusion network of research knowledge in operations management

Purpose

The purpose of this paper is to examine how the research knowledge in OM has been obtained and distributed since the first journals in OM began publication in 1980, changes in the interests of OM over the decades and where they are heading in the future; and to explore the changing roles of individual journals in the development of OM.

Design/methodology/approach

A two-stage bibliometric study was employed, first using citation analysis to examine the changing research interests in OM through an analysis of the OM journals. Then the top journals of most importance to OM were analyzed to determine the role that each one played in the knowledge distribution network and how that changed over the decades.

Findings

OM’s journal base consists of 7 research knowledge sources, 12 transmitters linking different journal groups, and 11 sinks with limited input. Research attention changed from practice, engineering, and OR to general management, strategy, and production management in the 2000s, with strategy, organizational issues, and logistics surfacing in the 2010s. OM features increasingly academic research with less interest in practice. OM journals’ network importance has increased substantially, with JOM now a bridge between the quantitative and management journals.

Practical implications

Both researchers and managers gain in understanding the history and identifying the future direction of OM, as well as which journals will have the most relevant papers to their interests.

Originality/value

This research identifies the history of the OM field in terms of its constituents and where it is going in the future. This history is related to the role OM plays among the knowledge network of top journals and presents a novel way of classifying and labeling journals based on their contribution.

Mapping the operations and supply chain management field: a journal governance perspective

Purpose

The purpose of this paper is to address the following research question: how do the interlocking editorial advisory boards (EABs) of operations and supply chain management (OSCM) journals map out the field’s diverse academic communities and how demographically diverse is the field and its communities?

Design/methodology/approach

The study applies social network analysis (SNA) to web-based EAB data for 38 journals listed under operations management (OM) in the 2010 ABS Academic Journal Quality Guide.

Findings

The members of EABs of the 38 journals are divided into seven distinct communities which are mapped to the field’s knowledge structures and further aggregated into a core and periphery of the network. A burgeoning community of supply chain management academics forms the core along with those with more traditional interests. Male academics affiliated to the US institutions and to business schools predominate in the sample.

Research limitations/implications

A new strand of research is opened up connecting journal governance networks to knowledge structures in the OSCM field. OM is studied separately from its reference and associated disciplines. The use of the ABS list might attract comments that the study has an implicit European perspective – however the authors do not believe this to be the case.

Practical implications

The study addresses the implications of the lack of diversity for the practice of OM as an academic discipline.

Social implications

The confirmation of the dominance of particular characteristics such as male and US-based academics has implications for social diversity of the field.

Originality/value

As the first study of its kind, i.e. SNA of EAB members of OSCM journals, this study marks out a new perspective and acts as a benchmark for the future.