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Article
Publication date: 11 October 2019

Sunil Babbar, Xenophon Koufteros, Ravi S. Behara and Christina W.Y. Wong

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…

Abstract

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.

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Article
Publication date: 10 October 2016

Matthew R. Johnson, Nick J. Wagner and Jonathan Reusch

The purpose of this paper is to analyze author and methodological characteristics in top-tier publications in higher education. As the importance of research in the…

Abstract

Purpose

The purpose of this paper is to analyze author and methodological characteristics in top-tier publications in higher education. As the importance of research in the professoriate continues to grow and faculty face ratcheted-up expectations for prestige in their research, such data are important contextually and historically.

Design/methodology/approach

This descriptive study examines 587 articles within four top-tier higher education research journals from 2008 to 2012. Data were open coded and analyzed with a research team, resulting in an intercoder reliability of 0.96.

Findings

Results show most authors are assistant professors, overwhelmingly received PhD’s from very high research institutions (Carnegie classification), and currently work in similar institutions. Five degree-granting institutions accounted for 29.0 percent of publications in top-tier journals. Additionally, quantitative research accounted for 60.6 percent of published articles, with regression as the most commonly used analytic technique (34.7 percent).

Research limitations/implications

This study examined only higher education faculty and institutions based in the USA as well as first authors.

Practical implications

These results are meant to provide baseline data for top-tier journals within higher education and might inform conversations about methodological acceptability, respectability of qualitative research, graduate education research requirements, journal editor trainings, and tenure and promotion criteria.

Originality/value

This paper provides an update to previous studies that examined publications in higher education within the last three decades. In addition, this study examines author characteristics, which previous studies have mostly excluded. This study offers empirical data to inform conversations about the state of research in top-tier publications within higher education.

Details

Journal of Applied Research in Higher Education, vol. 8 no. 4
Type: Research Article
ISSN: 2050-7003

Keywords

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Article
Publication date: 21 June 2011

Matthew Valle and Kaitlyn Schultz

The purpose of this paper is to develop and test a comprehensive model of personal and institutional input variables, composed of elements describing status‐based…

Abstract

Purpose

The purpose of this paper is to develop and test a comprehensive model of personal and institutional input variables, composed of elements describing status‐based antecedents, job/organizational context antecedents, and individual level antecedents, which may contribute to the production of significant (top‐tier) research outputs in the management discipline.

Design/methodology/approach

The development and empirical examination of this model were done with two main goals in mind. First, the nature and degree to which certain factors lead to the production of top‐tier research productivity in the management discipline were explored. Second, it is hoped that information about these relationships could then be used by institutions and individuals so that they could better understand what it takes to adequately prepare faculty members to achieve increased productivity or, alternatively, to decide whether the goal of top‐tier research production is consistent with individual and institutional resources. As such, the results of this investigation should have interesting and potentially important implications for both academic status attainment and career success.

Findings

Hierarchical moderated regression analyses of 440 faculty records revealed that the status of current affiliation of the faculty member, editorial board membership, faculty rank, and the availability of doctoral students were related to top‐tier research productivity.

Research limitations/implications

The findings from this study have important implications for the careers of management faculty at AACSB‐accredited business schools. Faculty at higher status institutions appear to enjoy a number of cumulative advantages due to increased social, human and cultural capital that support the production of top‐tier research. Additionally, faculty with doctoral student support and those with memberships on editorial boards seem to possess the resources and connections necessary to produce top‐tier research on a consistent basis. Future research should investigate institution‐specific inducements to research productivity (e.g. research support and remuneration) and the exact causal nature of the editorial board/productivity relationship.

Originality/value

Prior research has investigated status effects using broad categories as predictors, whereas this research uses interval values representing research‐based assessments of institution status rankings. Additionally, this research creates and tests a comprehensive causal model of research productivity antecedents.

Details

Career Development International, vol. 16 no. 3
Type: Research Article
ISSN: 1362-0436

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Article
Publication date: 11 June 2019

Surender Kumar

The performance analysis of top 50 management institutions of India is conducted to understand their efficiency in utilizing available resources. The importance of…

Abstract

Purpose

The performance analysis of top 50 management institutions of India is conducted to understand their efficiency in utilizing available resources. The importance of different indicators is investigated to identify most preferred strategies of top management institutions in the country in order to meet the expectations of all stakeholders. Artificial neural networks models are applied for pattern recognition and classification purpose using self-organized map algorithms. A huge reservoir of young generation is being trained every year to meet the demand of business in different sectors of economies. It becomes a matter of concern to know the performance of the management institutes to ensure the overall national progress, which can be done by enabling organizations to improve their efficiency and effectiveness, provided the right information and skills are served. Data envelopment analysis (DEA) and self-organizing maps are utilized together to take advantages of optimization and prediction capabilities inherent in each method, and they may be beneficial to assess institution’s competitive position and design their own strategies in order to improve. The paper aims to discuss these issues.

Design/methodology/approach

The DEA is used to understand the utilization of resources by institutions on the bases of efficiency scores. Due to a greater flexibility and adaptability, neural technique, i.e. self-organized map, which is an artificial intelligence-based technique, a popular unsupervised learning model with a capability to capture patterns from data sets, is used. In this study, various parameters like qualification of faculty, research output of faculty members, expenditure made for functioning of the institution, etc., are considered. These academic and operational indicators are investigated in relation to the rank score and the efficiency score of top management institutions, and different strategies as a combination of input as well as output indicators are identified.

Findings

In the analysis, three types of strategies are identified. At present, the focus on salary packages of graduates seems the most utilized strategy. It is also observed that the strategy of having good performance, in terms of consultancy, peer and employer perception, has the highest success rate (in terms of score used for ranking). Results obtained using both techniques shows that due to high deviation and less explored research publications and sponsored research project is an opportunity that institutions can work upon to have maximum output. But to maintain consistency in terms of the high rank score and efficiency score, management institutions need to focus on consultancy, peer and employer perception.

Practical implications

This research identifies the different parameters categorized into various inputs and outputs for the management institutions in India for the benchmarking. It studies the importance of identified parameters in terms of success (rank score and efficiency score). Further investigation of relationship between parameters and success is conducted. Different strategies as a combination of parameters are identified. The current choice of top management institutions is revealed in terms of their preference and effectiveness of strategy. This research also provides some insight about long-term and short-term strategies, which may be beneficial to education managers or decision makers.

Originality/value

It is one of the rare papers in terms of performance measurement through data envelopment method and identification of strategy using artificial intelligence. This paper utilized a hybrid methodology that integrates these two data analytic methods to capture an innovative performance and strategies prediction in education system.

Details

Benchmarking: An International Journal, vol. 26 no. 7
Type: Research Article
ISSN: 1463-5771

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Book part
Publication date: 3 June 2008

David Turner

The use of national and international rankings of universities is increasing rapidly. Dill and Soo (2005), who take a generally positive view of university league tables…

Abstract

The use of national and international rankings of universities is increasing rapidly. Dill and Soo (2005), who take a generally positive view of university league tables, review the performance of some leading examples of the genre. They conclude that “Our review of the five leading commercial university league tables from Australia, Canada, the UK, and the US suggests that the definitions of academic quality used in these tables are converging…It would be valuable to extend the analysis to league tables developed in Europe, Asia, and Latin America to see the extent to which a common construct of academic quality is becoming truly international” (Dill & Soo, 2005, pp. 525–526).

Details

The Worldwide Transformation of Higher Education
Type: Book
ISBN: 978-0-7623-1487-4

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Book part
Publication date: 19 February 2005

Willie Pearson and Jr.

Abstract

Details

Beyond Small Numbers
Type: Book
ISBN: 978-0-76230-562-9

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Article
Publication date: 9 July 2021

Charu Verma and Pradeep Kumar Suri

The purpose of this paper is to highlight the use of big data through patentometric insights for R&D decision-making.

Abstract

Purpose

The purpose of this paper is to highlight the use of big data through patentometric insights for R&D decision-making.

Design/methodology/approach

This study assesses the inventive activity through ‘big data’ patents, registered by inventors worldwide, using WIPO Patentscope database. The objective is to use the insights from patentometrics for R&D decision-making. The data from WIPO PatentScope (https://patentscope.wipo.int/search/en/search.jsf) was searched for current patent scenario in area of ‘big data’. The data was further organized and cleaned using the Google ‘OpenRefine’. Data was pre-processed to remove all null values. Cleaned data was analyzed using programming language ‘R’, MS Excel (charts and Pivot tables) and free data visualization tool called ‘Tableau Public’, to get insights for R&D decision-making.

Findings

The key insights included trends (patents with years of publication), top technologies trending the current space, top organizations leading in these technologies and the top inventors who are publishing patents in these technologies through leading organizations were drawn. Details in Section 5 in the paper.

Research limitations/implications

Global patent data is multi-lingual and spreads across a set of multiple databases. Domain experts may be required to assess, identify and extract the relevant information for analysis and visualization of multi-lingual distributed data sets. Government organizations generally have multi-dimensional goals that may be more toward societal benefits. On the other hand, the commercial companies are more focused on profit. Therefore, the performance management process has to be really effective because it is critical for getting value in the government sector.

Practical implications

Insights from patent analytics serve as the important input to R&D managers as well as policymakers to assess the global needs to plan the national orientation according to the global market. This will help further for R&D projects prioritization, planning, budget allocations, human capital planning and other gamut of R&D management and decision-making.

Social implications

Facilitation for R&D institutions (government as well as private) to formulate the research strategy for the domains or research areas to delve into. R&D decisions will be completely data-driven making them more accurate, reliable, valid and informed. These insights are very relevant for policymakers as well to facilitate the need assessment to determine the National priorities, make improvements in meeting societal country-level challenges during the resource allocation at top and subsequently at all other levels.

Originality/value

Data analytics of global patents in “big data” till 2019 to get insights to facilitate R&D decision-making.

Details

Digital Policy, Regulation and Governance, vol. 23 no. 4
Type: Research Article
ISSN: 2398-5038

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Book part
Publication date: 1 December 2009

Cheryl B. Leggon

Traditionally, the pool from which the United States (US) drew its US-born science and engineering talent has been relatively homogeneous – consisting mostly of…

Abstract

Traditionally, the pool from which the United States (US) drew its US-born science and engineering talent has been relatively homogeneous – consisting mostly of non-Hispanic white males. Because science and technology drive the economy worldwide, it is imperative that the US develop, nurture, and utilize the talent of all its citizens. Yet, efforts to diversify the US science talent pool often focus on non-Hispanic white females and much less often on African American males and, of course, African American women.

Details

Black American Males in Higher Education: Research, Programs and Academe
Type: Book
ISBN: 978-1-84950-643-4

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Book part
Publication date: 10 November 2014

Arnaud Chevalier

This paper estimates the financial returns to higher education quality in the UK. To account for the selectivity of students to institution, we rely on a selection on…

Abstract

This paper estimates the financial returns to higher education quality in the UK. To account for the selectivity of students to institution, we rely on a selection on observable assumption. We use several estimates including the Generalised Propensity Score (GPS) of Hirano and Imbens, which relies on a continuous measure of institutional quality. This highlights that the returns to quality are heterogeneous and mostly driven by high-quality institutions. Moving from an institution in the third quality quartile to a top quality institution is associated with a 7% increase in earnings.

Details

Factors Affecting Worker Well-being: The Impact of Change in the Labor Market
Type: Book
ISBN: 978-1-78441-150-3

Keywords

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Article
Publication date: 11 February 2021

Khaled Hutaibat, Zaidoon Alhatabat, Larissa von Alberti-Alhtaybat and Khaldoon Al-Htaybat

What academic and managerial elements are particularly influential regarding performance? This study aims to address these questions as part of a broader longitudinal…

Abstract

Purpose

What academic and managerial elements are particularly influential regarding performance? This study aims to address these questions as part of a broader longitudinal study. The current paper focusses on the results relating to performance management and measurement, and how the sectorial developments impacted on individuals and institutions.

Design/methodology/approach

An interpretive research methodology was used, which illustrates the institutional performance management and measurement system. The first part of the interpretive study was a single case study, focussing on one “old” research-intensive university. The second part included five institutions, three UK top-tier universities, focussing on top-level research and education, and two “new” universities with a greater teaching than research portfolio.

Findings

The current paper focusses on the results relating to performance management and measurement, and how higher education (HE) developments impacted on individuals and institutions, reflected in the notion of performance habitus. The qualitative element of the study sought to gain insight into which factors influence performance management and measurement and what changing effect these have on academic members of staff. The findings illustrate how academic values and managerial control practices create an academia-specific performance management approach, measured by particular key performance indicators that are used for the institution as a whole and then applied to units and individuals within institutions. With regard to institutional performance, more established and institutionalised performance management and measurement practices are relied upon. Both elements are addressed in this study, and the authors conclude that the interplay of human capital and institutional structure creates the most successful performance-related outcome.

Originality/value

The current study adds additional insights on how the changing HE context affects academic members and how the future of the UK HE sector is perceived. Insights can be derived for other HE sectors, as the contextual factors of international competition, tightening of resources and nature of the academic sector transcend national borders. Thus, practices illustrated in the current study are useful for institutions and academic managers of other HE sectors as well.

Details

Measuring Business Excellence, vol. 25 no. 2
Type: Research Article
ISSN: 1368-3047

Keywords

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