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Article
Publication date: 10 January 2024

Alexander Serenko and Nick Bontis

This study explores the use and perceptions of scholarly journal ranking lists in the management field based on stakeholders’ lived experience.

Abstract

Purpose

This study explores the use and perceptions of scholarly journal ranking lists in the management field based on stakeholders’ lived experience.

Design/methodology/approach

The results are based on a survey of 463 active knowledge management and intellectual capital researchers.

Findings

Journal ranking lists have become an integral part of contemporary management academia: 33% and 37% of institutions and individual scholars employ journal ranking lists, respectively. The Australian Business Deans Council (ABDC) Journal Quality List and the UK Academic Journal Guide (AJG) by the Chartered Association of Business Schools (CABS) are the most frequently used national lists, and their influence has spread far beyond the national borders. Some institutions and individuals create their own journal rankings.

Practical implications

Management researchers employ journal ranking lists under two conditions: mandatory and voluntary. The forced mode of use is necessary to comply with institutional pressure that restrains the choice of target outlets. At the same time, researchers willingly consult ranking lists to advance their personal career, maximize their research exposure, learn about the relative standing of unfamiliar journals, and direct their students. Scholars, academic administrators, and policymakers should realize that journal ranking lists may serve as a useful tool when used appropriately, in particular when individuals themselves decide how and for what purpose to employ them to inform their research practices.

Originality/value

The findings reveal a journal ranking lists paradox: management researchers are aware of the limitations of ranking lists and their deleterious impact on scientific progress; however, they generally find journal ranking lists to be useful and employ them.

Details

Journal of Documentation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0022-0418

Keywords

Article
Publication date: 23 November 2023

Moureen Asaad, Ghada Farouk Hassan, Abeer Elshater and Samy Afifi

Research on green certificate rankings in the MENA region primarily focuses on building scale, relying on the certified project count. This assessment approach overlooks the…

Abstract

Purpose

Research on green certificate rankings in the MENA region primarily focuses on building scale, relying on the certified project count. This assessment approach overlooks the spatial factor, failing to capture their influence on the urban built environment, thus potentially undermining other efforts not reflected by the project count. This research aims to rank countries in the Middle East and Northern Africa (MENA) region based on their ongoing efforts regarding green neighbourhood certification.

Design/methodology/approach

This study employs a three-phase methodology to rank MENA countries' adoption of green neighbourhood certification systems: content analysis, multicriteria analysis (MCA) using the analytical hierarchy process (AHP) and spatial analysis.

Findings

Based on the content analysis, four major performance indicators were identified and the conventional ranking using projects count was presented. Using AHP, the MCA could rank the countries in the region according to their unique performance indicators score, clarifying the differences between conventional and AHP-based rankings. Finally, the spatial analysis phase uncovers shortcomings in the traditional ranking method, revealing inaccuracies and misrepresentations for several countries.

Originality/value

The study presents an innovative ranking methodology to monitor the green neighbourhood actions of countries in future development and establish a pioneering framework to evaluate the impact of green certifications within the region.

Details

Archnet-IJAR: International Journal of Architectural Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2631-6862

Keywords

Article
Publication date: 25 March 2024

Sam Thomas

Prospective students and other stakeholders in the education system use global and national rankings as a measure of the quality of education offered by different higher…

Abstract

Purpose

Prospective students and other stakeholders in the education system use global and national rankings as a measure of the quality of education offered by different higher educational institutions. The ranking of an Institution is seen as a measure of reputation and has a significant role in attracting students. But are students happy in the top-ranked institutions? Does a high rank translate into high student satisfaction? This study answers this question taking data from top educational institutions in India.

Design/methodology/approach

This study examines how the top-ranked higher education institutions in India fare on student satisfaction. Using the data on key performance indicators published by the National Institutional Ranking Framework (NIRF) and student satisfaction scores of these institutions reported by NAAC, the study explores a possible relationship between the ranking of an institution and its student satisfaction score.

Findings

The study finds no significant relationship between the ranking of an institution and its student satisfaction score. The only institutional performance dimension which has a positive correlation with student satisfaction is graduate outcome. The diversity dimension is seen to be negatively correlated with student satisfaction.

Practical implications

The importance of modifying the ranking frameworks to account for the real drivers of student satisfaction is highlighted. The items in the student satisfaction survey should be regularly updated to reflect the actual concerns of the students. This is very important given the fact that the number of Indian students going abroad for higher education recorded a six-year high in 2022 at 750,365.

Originality/value

With more than 50,000 institutions catering to over 40 million students, India has the largest higher education system in the world. Given the high level of competition among these institutions, ranking and accreditation have become important parameters used by students for selection of an institution. But do top-ranked higher education institutions have the most satisfied student community? The assumption is disproved using the most credible secondary data. This study is the first of its kind in the Indian context. It has huge implications for the most respected ranking frameworks.

Details

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

Keywords

Article
Publication date: 1 April 2024

Laura Sierra-García, Nicolás Gambetta, Fernando Azcarate Llanes and María Antonia García Benau

This paper aims to examine whether the position of universities in the times higher education (THE) impact rankings (IR) is related to the different dimensions of academic quality…

Abstract

Purpose

This paper aims to examine whether the position of universities in the times higher education (THE) impact rankings (IR) is related to the different dimensions of academic quality of universities according to the THE world universities ranking.

Design/methodology/approach

The research, based on universities ranked in the top 100 of THE IRs, uses a regression model obtained by the panel data method, using the fixed effects approach, to identify the relationship of academic quality dimensions with that ranking.

Findings

The results show an increase in the dissemination of information on sustainable development goals (SDGs) by universities. In addition, it is shown that research, number of citations and international outlook are positively associated with a higher score obtained by universities in THE IRs, which implies a higher impact on the SDGs by these universities.

Originality/value

Based on multifaceted theories, the study highlighted the universities that are best positioned in the THE IRs in relation to their contribution to the SDGs.

Details

International Journal of Sustainability in Higher Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1467-6370

Keywords

Article
Publication date: 18 November 2022

İrfan Ayhan and Ali Özdemir

The purpose of this research is to determine the competitive advantages of higher education institutions (HEIs) and create a new methodology to rank universities according to the…

Abstract

Purpose

The purpose of this research is to determine the competitive advantages of higher education institutions (HEIs) and create a new methodology to rank universities according to the competitive advantages.

Design/methodology/approach

The research determines the competitive advantages of HEIs by analysing expert opinions through a semi-structured interview form, matches codes and themes to performance indicators using Saldana's two-cycle coding methods, evaluates content validity through Lawshe and reveals the item weights of the ranking with analytical hierarchy process (AHP). Simple additive weighting (SAW) and Technique for Order of Preference by Similarity (TOPSIS) methods were used for ranking universities.

Findings

Seven dimensions stand out in regard to what should be considered while ranking HEIs: research and publication, education, management, infrastructure, financial resources, human resources and social and economic contribution. Under the 7 dimensions, 69 indicators were determined.

Practical implications

The research provides a scientific reference point where HEIs can compare themselves with other HEIs regarding where they are in the sector, especially in terms of competitive advantages.

Originality/value

Although there are many different ranking methods that rank universities in the national and international literature, almost all these methods are largely based on the outputs of the university such as the number of publications, the number of patents, the number of projects, etc. A framework which ranks universities by considering different aspects of the institution, such as management, human resources and financial resources, has not been developed yet. In this respect, this research aims to fill this gap in the literature.

Details

The TQM Journal, vol. 35 no. 8
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 1 January 2021

Muhammad Sajid Qureshi, Ali Daud, Malik Khizar Hayat and Muhammad Tanvir Afzal

Academic rankings are facing various issues, including the use of data sources that are not publicly verifiable, subjective parameters, a narrow focus on research productivity and…

Abstract

Purpose

Academic rankings are facing various issues, including the use of data sources that are not publicly verifiable, subjective parameters, a narrow focus on research productivity and regional biases and so forth. This research work is intended to enhance creditability of the ranking process by using the objective indicators based on publicly verifiable data sources.

Design/methodology/approach

The proposed ranking methodology – OpenRank – drives the objective indicators from two well-known publicly verifiable data repositories: the ArnetMiner and DBpedia.

Findings

The resultant academic ranking reflects common tendencies of the international academic rankings published by the Shanghai Ranking Consultancy (SRC), Quacquarelli Symonds (QS) and Times Higher Education (THE). Evaluation of the proposed methodology advocates its effectiveness and quick reproducibility with low cost of data collection.

Research limitations/implications

Implementation of the OpenRank methodology faced the issue of availability of the quality data. In future, accuracy of the academic rankings can be improved further by employing more relevant public data sources like the Microsoft Academic Graph, millions of graduate's profiles available in the LinkedIn repositories and the bibliographic data maintained by Association for Computing Machinery and Scopus and so forth.

Practical implications

The suggested use of open data sources would offer new dimensions to evaluate academic performance of the higher education institutions (HEIs) and having comprehensive understanding of the catalyst factors in the higher education.

Social implications

The research work highlighted the need of a purposely built, publicly verifiable electronic data source for performance evaluation of the global HEIs. Availability of such a global database would help in better academic planning, monitoring and analysis. Definitely, more transparent, reliable and less controversial academic rankings can be generated by employing the aspired data source.

Originality/value

We suggested a satisfying solution for improvement of the HEIs' ranking process by making the following contributions: (1) enhancing creditability of the ranking results by merely employing the objective performance indicators extracted from the publicly verifiable data sources, (2) developing an academic ranking methodology based on the objective indicators using two well-known data repositories, the DBpedia and ArnetMiner and (3) demonstrating effectiveness of the proposed ranking methodology on the real data sources.

Details

Library Hi Tech, vol. 41 no. 2
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 17 November 2023

Dmitry Kucherov and Victoria Tsybova

The purpose of this paper is to identify the differences in employer branding between the companies that participate and those that do not participate in employer ranking.

Abstract

Purpose

The purpose of this paper is to identify the differences in employer branding between the companies that participate and those that do not participate in employer ranking.

Design/methodology/approach

Quantitative data were collected through a survey from 188 companies operating on the Russian labour market. Descriptive statistics, frequency analysis, correlation analysis and multivariate analysis of variance were used to analyse the collected data.

Findings

The findings revealed specific profiles of the companies that participated and did not participate in employer ranking. Companies differed in their employer branding orientation, internal branding, employer branding strategy, employer branding programmes and employer branding communications tasks. At the same time, brand orientation did not differ between participants and non-participants of employer ranking.

Originality/value

This study integrates the employer brand equity theory and the signalling theory to better explain the differences between participants and non-participants of employer ranking.

Details

International Journal of Organizational Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1934-8835

Keywords

Article
Publication date: 11 May 2023

Arpit Singh, Vimal Kumar and Pratima Verma

This study aims to focus on sustainable supplier selection in a construction company considering a new multi-criteria decision-making (MCDM) method based on dominance-based rough…

Abstract

Purpose

This study aims to focus on sustainable supplier selection in a construction company considering a new multi-criteria decision-making (MCDM) method based on dominance-based rough set analysis. The inclusion of sustainability concept in industrial supply chains has started gaining momentum due to increased environmental protection awareness and social obligations. The selection of sustainable suppliers marks the first step toward accomplishing this objective. The problem of selecting the right suppliers fulfilling the sustainable requirements is a major MCDM problem since various conflicting factors are underplay in the selection process. The decision-makers are often confronted with inconsistent situations forcing them to make imprecise and vague decisions.

Design/methodology/approach

This paper presents a new method based on dominance-based rough sets for the selection of right suppliers based on sustainable performance criteria relying on the triple bottom line approach. The method applied has its distinct advantages by providing more transparency in dealing with the preference information provided by the decision-makers and is thus found to be more intuitive and appealing as a performance measurement tool.

Findings

The technique is easy to apply using “jrank” software package and devises results in the form of decision rules and ranking that further assist the decision-makers in making an informed decision that increases credibility in the decision-making process.

Originality/value

The novelty of this study of its kind is that uses the dominance-based rough set approach for a sustainable supplier selection process.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 4 July 2023

Yuping Xing and Yongzhao Zhan

For ranking aggregation in crowdsourcing task, the key issue is how to select the optimal working group with a given number of workers to optimize the performance of their…

Abstract

Purpose

For ranking aggregation in crowdsourcing task, the key issue is how to select the optimal working group with a given number of workers to optimize the performance of their aggregation. Performance prediction for ranking aggregation can solve this issue effectively. However, the performance prediction effect for ranking aggregation varies greatly due to the different influencing factors selected. Although questions on why and how data fusion methods perform well have been thoroughly discussed in the past, there is a lack of insight about how to select influencing factors to predict the performance and how much can be improved of.

Design/methodology/approach

In this paper, performance prediction of multivariable linear regression based on the optimal influencing factors for ranking aggregation in crowdsourcing task is studied. An influencing factor optimization selection method based on stepwise regression (IFOS-SR) is proposed to screen the optimal influencing factors. A working group selection model based on the optimal influencing factors is built to select the optimal working group with a given number of workers.

Findings

The proposed approach can identify the optimal influencing factors of ranking aggregation, predict the aggregation performance more accurately than the state-of-the-art methods and select the optimal working group with a given number of workers.

Originality/value

To find out under which condition data fusion method may lead to performance improvement for ranking aggregation in crowdsourcing task, the optimal influencing factors are identified by the IFOS-SR method. This paper presents an analysis of the behavior of the linear combination method and the CombSUM method based on the optimal influencing factors, and optimizes the task assignment with a given number of workers by the optimal working group selection method.

Details

Data Technologies and Applications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9288

Keywords

Open Access
Article
Publication date: 10 August 2022

Andrew Ebekozien and Clinton Aigbavboa

The built environment is a complex sector that demands coordination and cooperation of stakeholders. Construction projects from the complex sector require skills, services, and…

1859

Abstract

Purpose

The built environment is a complex sector that demands coordination and cooperation of stakeholders. Construction projects from the complex sector require skills, services, and integration of major disciplines in the built environment. Sustainability of the major disciplines' standards regarding the appropriateness of the built environment tertiary education cannot be over-emphasised in Nigeria. Studies concerning Nigeria's built environment programmes accreditation (BEPA) in the 21st-century education system are scarce. Thus, the study investigated the relevance and perceived factors hindering Nigeria's BEPA in the 21st-century education system. Also, the study proffered measures to improve Nigerian built environment tertiary education accreditation ranking.

Design/methodology/approach

Data were sourced from elite virtual interviews across Nigeria. The interviewees were knowledgeable about Nigeria's built environment programmes accreditation, and many of them have been directly or indirectly involved. The investigators utilised a thematic analysis for the collated data and enhanced it with secondary sources.

Findings

The study revealed that several Nigerian academia in the built environment lack fame in research, publication, and citations due to barriers in their workplace. It has hindered their global institution's accreditation and ranking standards. Findings identified inadequate basic infrastructure, obsolete curricula, lack of research novelty, lack of higher education institutions funding, inadequate staffing and lax upskilling and reskilling, and unethical practices “systematic corruption” as major factors hindering BEPA. Also, findings proffered measures to improve Nigeria's BEPA global ranking.

Research limitations/implications

The study is limited to the perceived barriers and measures to improve BEPA in the 21st-century in Nigeria via semi-structured virtual interviews. Future study is needed to validate the findings as highlighted in the thematic network.

Practical implications

The paper confirms that the BEPA requires innovative and multidisciplinary measures to improve the global ranking of these programmes and, by extension, the higher education institutions ranking globally. The paper would stir major stakeholders and advance the built environment programmes quality accreditation regarding international best practices and maintain the minimum standards.

Originality/value

The paper comprehensively analyses the perceived factors and proffered measures to improve Nigeria's BEPA in the 21st-century via a thematic network. The outcome intends to improve the global ranking and stir stakeholders to reposition and showcase Nigeria's built environment programmes to the world.

Details

International Journal of Building Pathology and Adaptation, vol. 41 no. 6
Type: Research Article
ISSN: 2398-4708

Keywords

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