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1 – 10 of 68
Open Access
Article
Publication date: 30 September 2019

Laura Sinay, Maria Cristina Fogliatti de Sinay, Rodney William (Bill) Carter and Aurea Martins

The purpose of this paper is to critically analyze the influence of the algorithm used on scholarly search engines (Garfield’s algorithm) and propose metrics to improve it so that…

Abstract

Purpose

The purpose of this paper is to critically analyze the influence of the algorithm used on scholarly search engines (Garfield’s algorithm) and propose metrics to improve it so that science could be based on a more democratic way.

Design/methodology/approach

This paper used a snow-ball approach to collect data that allowed identifying the history and the logic behind the Garfield’s algorithm. It follows on excerpting the foundation of existing algorithm and databases of major scholarly search engine. It concluded proposing new metrics so as to surpass restraints and to democratize the scientific discourse.

Findings

This paper finds that the studied algorithm currently biases the scientific discourse toward a narrow perspective, while it should take into consideration several researchers’ characteristics. It proposes the substitution of the h-index by the number of times the scholar’s most cited work has been cited. Finally, it proposes that works in languages different than English should be included.

Research limitations/implications

The broad comprehension of any phenomena should be based on multiple perspectives; therefore, the inclusion of diverse metrics will extend the scientific discourse.

Practical implications

The improvement of the existing algorithm will increase the chances of contact among different cultures, which stimulate rapid progress on the development of knowledge.

Originality/value

The value of this paper resides in demonstrating that the algorithm used in scholarly search engines biases the development of science. If updated as proposed here, science will be unbiased and bias aware.

Details

RAUSP Management Journal, vol. 54 no. 4
Type: Research Article
ISSN: 2531-0488

Keywords

Open Access
Article
Publication date: 12 January 2024

Fernando Martín-Alcázar, Marta Ruiz-Martínez and Gonzalo Sánchez-Gardey

This study aims to examine the connection between scholars' research performance and the multidisciplinary nature of their collaborative research. Furthermore, in response to…

Abstract

Purpose

This study aims to examine the connection between scholars' research performance and the multidisciplinary nature of their collaborative research. Furthermore, in response to mixed results regarding the effects of multidisciplinarity on research performance, this study explores how human resource management (HRM) practices may moderate this link.

Design/methodology/approach

The authors built a model based on the theoretical arguments and empirical evidence found in the review of diversity and HRM literature. The authors also performed a quantitative study based on a sample of scholars in the field of management. Different econometric estimations were used to test the proposed model.

Findings

The results of this empirical analysis suggest that multidisciplinary research has a non-linear effect on research performance. Certain HRM practices, such as development and collaboration, moderated the curvilinear relationship between multidisciplinarity and performance, displacing the optimum to allow higher performance at higher levels of multidisciplinary research.

Originality/value

The paper provides advances on previous works studying the curvilinear relationship between multidisciplinarity and the researchers' performance, confirming that multidisciplinarity is beneficial up to a threshold beyond which these benefits are attenuated. In addition, the findings shed light on important issues related to team-oriented HRM practices associated with the outcomes of multidisciplinary research.

Details

Management Decision, vol. 62 no. 13
Type: Research Article
ISSN: 0025-1747

Keywords

Open Access
Article
Publication date: 21 March 2022

Sergio Olavarrieta

Despite the general recommendation of using a combination of multiple criteria for research assessment and faculty promotion decisions, the raise of quantitative indicators is…

1477

Abstract

Purpose

Despite the general recommendation of using a combination of multiple criteria for research assessment and faculty promotion decisions, the raise of quantitative indicators is generating an emerging trend in Business Schools to use single journal impact factors (IFs) as key (unique) drivers for those relevant school decisions. This paper aims to investigate the effects of using single Web of Science (WoS)-based journal impact metrics when assessing research from two related disciplines: Business and Economics, and its potential impact for the strategic sustainability of a Business School.

Design/methodology/approach

This study collected impact indicators data for Business and Economics journals from the Clarivate Web of Science database. We concentrated on the IF indicators, the Eigenfactor and the article influence score (AIS). This study examined the correlations between these indicators and then ranked disciplines and journals using these different impact metrics.

Findings

Consistent with previous findings, this study finds positive correlations among these metrics. Then this study ranks the disciplines and journals using each impact metric, finding relevant and substantial differences, depending on the metric used. It is found that using AIS instead of the IF raises the relative ranking of Economics, while Business remains basically with the same rank.

Research limitations/implications

This study contributes to the research assessment literature by adding substantial evidence that given the sensitivity of journal rankings to particular indicators, the selection of a single impact metric for assessing research and hiring/promotion and tenure decisions is risky and too simplistic. This research shows that biases may be larger when assessment involves researchers from related disciplines – like Business and Economics – but with different research foundations and traditions.

Practical implications

Consistent with the literature, given the sensibility of journal rankings to particular indicators, the selection of a single impact metric for assessing research, assigning research funds and hiring/promotion and tenure decisions is risky and simplistic. However, this research shows that risks and biases may be larger when assessment involves researchers from related disciplines – like Business and Economics – but with different research foundations and trajectories. The use of multiple criteria is advised for such purposes.

Originality/value

This is an applied work using real data from WoS that addresses a practical case of comparing the use of different journal IFs to rank-related disciplines like Business and Economics, with important implications for faculty tenure and promotion committees and for research funds granting institutions and decision-makers.

Details

Journal of Economics, Finance and Administrative Science, vol. 27 no. 53
Type: Research Article
ISSN: 2218-0648

Keywords

Open Access
Article
Publication date: 24 April 2023

Ricardo Ramos and Paulo Rita

Evaluating existing literature can lead to a better understanding of a scientific journal's state of the art. In this sense, this study aims to analyze the global research…

Abstract

Purpose

Evaluating existing literature can lead to a better understanding of a scientific journal's state of the art. In this sense, this study aims to analyze the global research evolution of the Revista Europea de Dirección y Economia de la Empresa (REDEE) and the European Journal of Management and Business Economics (EJMBE).

Design/methodology/approach

A bibliometric analysis was conducted to acknowledge the most contributing authors, impactful articles, publication trends, keyword analysis, co-occurrence networks and collaboration networks. A total of 454 articles published between 2006 and 2022 were analyzed.

Findings

The results suggest that the international strategy set in 2014 has resulted in a steadily growing number of publications and a significant increment in citations. Relationship marketing and the connections between innovation, performance and entrepreneurship are topics of interest for the EJMBE.

Originality/value

Mapping existing EJMBE research through identifying the contributing authors, most impactful articles, publication trends, keyword analysis, co-occurrence networks and collaboration networks is missing to encourage new research projects.

Details

European Journal of Management and Business Economics, vol. 33 no. 1
Type: Research Article
ISSN: 2444-8451

Keywords

Open Access
Article
Publication date: 19 December 2023

Sand Mohammad Salhout

This study specifically seeks to investigate the strategic implementation of machine learning (ML) algorithms and techniques in healthcare institutions to enhance innovation…

Abstract

Purpose

This study specifically seeks to investigate the strategic implementation of machine learning (ML) algorithms and techniques in healthcare institutions to enhance innovation management in healthcare settings.

Design/methodology/approach

The papers from 2011 to 2021 were considered following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. First, relevant keywords were identified, and screening was performed. Bibliometric analysis was performed. One hundred twenty-three relevant documents that passed the eligibility criteria were finalized.

Findings

Overall, the annual scientific production section results reveal that ML in the healthcare sector is growing significantly. Performing bibliometric analysis has helped find unexplored areas; understand the trend of scientific publication; and categorize topics based on emerging, trending and essential. The paper discovers the influential authors, sources, countries and ML and healthcare management keywords.

Research limitations/implications

The study helps understand various applications of ML in healthcare institutions, such as the use of Internet of Things in healthcare, the prediction of disease, finding the seriousness of a case, natural language processing, speech and language-based classification, etc. This analysis would help future researchers and developers target the healthcare sector areas that are likely to grow in the coming future.

Practical implications

The study highlights the potential for ML to enhance medical support within healthcare institutions. It suggests that regression algorithms are particularly promising for this purpose. Hospital management can leverage time series ML algorithms to estimate the number of incoming patients, thus increasing hospital availability and optimizing resource allocation. ML has been instrumental in the development of these systems. By embracing telemedicine and remote monitoring, healthcare management can facilitate the creation of online patient surveillance and monitoring systems, allowing for early medical intervention and ultimately improving the efficiency and effectiveness of medical services.

Originality/value

By offering a comprehensive panorama of ML's integration within healthcare institutions, this study underscores the pivotal role of innovation management in healthcare. The findings contribute to a holistic understanding of ML's applications in healthcare and emphasize their potential to transform and optimize healthcare delivery.

Details

Arab Gulf Journal of Scientific Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1985-9899

Keywords

Open Access
Article
Publication date: 29 January 2021

Herman Aguinis, Larry Yu and Cevat Tosun

The purpose of this study is to examine scholarly impact which is critical to universities in their aspiration to create, disseminate and apply knowledge. However, scholarly…

4874

Abstract

Purpose

The purpose of this study is to examine scholarly impact which is critical to universities in their aspiration to create, disseminate and apply knowledge. However, scholarly impact is an elusive concept. First, the authors present a conceptual model to clarify different dimensions of scholarly impact (i.e. theory and research, education, organizations and society) and four key stakeholders (i.e. other researchers, students, practitioners and policy makers). Second, the authors provide actionable recommendations for university administrators, researchers and educators on how to enhance impact. The scholarly impact model is flexible, expandable, scalable and adaptable to universities in different regions of the world and with different strategic priorities.

Design/methodology/approach

The authors conducted a general review of the literature and offered a multidimensional and multistakeholder model of scholarly impact to guide future actions aimed at enhancing scholarly impact.

Findings

The authors describe the multidimensional and multistakeholder nature of the critical and yet elusive concept of scholarly impact. The authors delineate multiple dimensions of impact, different stakeholders involved and recommendations for enhancing scholarly impact in the future.

Practical implications

The authors offer practical and actionable recommendations on how to enhance scholarly impact. For university administrators, the authors recommend aligning scholarly impact goals with actions and resource-allocation decisions; ensuring that performance management and reward systems are consistent with impact goals; being strategic in selecting a journal list; developing a strong doctoral program; and promoting practical knowledge and applications. For researchers and educators, the authors recommend developing a personal scholarly impact plan; becoming an academic decathlete; finding ways to affect multiple impact dimensions simultaneously; and leveraging social media to broaden impact on external stakeholders. Implementing these recommendations will benefit other researchers, students, practitioners (e.g. managers, consultants) and policy makers.

Originality/value

The authors provide an innovative way of conceptualizing scholarly impact. In turn, the conceptual analysis results in actionable recommendations for university administrators, researchers and educators to enhance impact.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 8
Type: Research Article
ISSN: 0959-6119

Keywords

Open Access
Article
Publication date: 8 June 2022

Federico Brunetti, Angelo Bonfanti, Andrea Chiarini and Virginia Vannucci

This paper explores how digitalization affects the academic research publication process by taking into account the perspective of management scholars. It provides an overview of…

2317

Abstract

Purpose

This paper explores how digitalization affects the academic research publication process by taking into account the perspective of management scholars. It provides an overview of the digital professional services dedicated to academic research, and investigates academics' awareness of, the impact on the publication process of, and scholars' expectations regarding digital services and software.

Design/methodology/approach

This explorative study adopted a qualitative approach by performing direct observations of websites regarding digital professional research services and in-depth interviews with national and international management scholars.

Findings

The multiple digital professional services dedicated to academic research enable authors to develop a scientific paper independently or with the support of professionals. The scholars' awareness regarding the digital services and software was limited, because of both the plethora of options on the market and the frequent use of the same digital tools over time. In impact terms, these tools enable scholars to improve research quality and to increase productivity. However, the negative effects led scholars to express different expectations about how they can be improved and what difficulties should be overcome to favor the publication process.

Practical implications

The results of this study provide suggestions both for scholars who engage in academic research and digital services and software providers.

Originality/value

To the best of the authors' knowledge, this is the first study to examine the ongoing development of digitalization in support of the research publication process from the perspective of academics.

Open Access
Article
Publication date: 23 March 2023

María Belén Prados-Peña, George Pavlidis and Ana García-López

This study aims to analyze the impact of Artificial Intelligence (AI) and Machine Learning (ML) on heritage conservation and preservation, and to identify relevant future research…

Abstract

Purpose

This study aims to analyze the impact of Artificial Intelligence (AI) and Machine Learning (ML) on heritage conservation and preservation, and to identify relevant future research trends, by applying scientometrics.

Design/methodology/approach

A total of 1,646 articles, published between 1985 and 2021, concerning research on the application of ML and AI in cultural heritage were collected from the Scopus database and analyzed using bibliometric methodologies.

Findings

The findings of this study have shown that although there is a very important increase in academic literature in relation to AI and ML, publications that specifically deal with these issues in relation to cultural heritage and its conservation and preservation are significantly limited.

Originality/value

This study enriches the academic outline by highlighting the limited literature in this context and therefore the need to advance the study of AI and ML as key elements that support heritage researchers and practitioners in conservation and preservation work.

Details

Journal of Cultural Heritage Management and Sustainable Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-1266

Keywords

Open Access
Article
Publication date: 16 September 2022

Jan Sher Akmal, Mika Salmi, Roy Björkstrand, Jouni Partanen and Jan Holmström

Introducing additive manufacturing (AM) in a multinational corporation with a global spare parts operation requires tools for a dynamic supplier selection, considering both cost…

1860

Abstract

Purpose

Introducing additive manufacturing (AM) in a multinational corporation with a global spare parts operation requires tools for a dynamic supplier selection, considering both cost and delivery performance. In the switchover to AM from conventional manufacturing, the objective of this study is to find situations and ways to improve the spare parts service to end customers.

Design/methodology/approach

In this explorative study, the authors develop a procedure – in collaboration with the spare parts operations managers of a case company – for dynamic operational decision-making for the selection of spare parts supply from multiple suppliers. The authors' design proposition is based on a field experiment for the procurement and delivery of 36 problematic spare parts.

Findings

The practice intervention verified the intended outcomes of increased cost and delivery performance, yielding improved customer service through a switchover to AM according to situational context. The successful operational integration of dynamic additive and static conventional supply was triggered by the generative mechanisms of highly interactive model-based supplier relationships and insignificant transaction costs.

Originality/value

The dynamic decision-making proposal extends the product-specific make-to-order practice to the general-purpose build-to-model that selects the mode of supply and supplier for individual spare parts at an operational level through model-based interactions with AM suppliers. The successful outcome of the experiment prompted the case company to begin the introduction of AM into the company's spare parts supply chain.

Details

International Journal of Operations & Production Management, vol. 42 no. 13
Type: Research Article
ISSN: 0144-3577

Keywords

Open Access
Article
Publication date: 1 October 2021

Thao Phuong Tran and Anh-Tuan Le

This paper examines how the degree of happiness affects corporate risk-taking and the moderating influence of family ownership of firms on this relationship.

1583

Abstract

Purpose

This paper examines how the degree of happiness affects corporate risk-taking and the moderating influence of family ownership of firms on this relationship.

Design/methodology/approach

The authors use an international sample of 17,654 firm-year observations from 24 countries around the world from 2008 to 2016.

Findings

Using the happiness index from the World Happiness Report developed by the United Nations Sustainable Development Solutions Network, the authors show that a country's overall happiness is negatively correlated with risk-taking behavior by firms. The findings are robust to an alternative measure of risk-taking by firms. Further analyses document that the negative influence of happiness on firm risk-taking is more pronounced for family-owned firms.

Practical implications

The paper is consistent with the notion that happier people are likely to be more risk-averse in making financial decisions, which, in turn, reduces corporate risk-taking.

Originality/value

This study contributes to the broad literature on the determinants of corporate risk-taking and the growing literature on the role of sentiment on investment decisions. The authors contribute to the current debate about family-owned firms by demonstrating that the presence of family trust strengthens the negative influence of happiness on corporate risk-taking, a topic that has been unexplored in previous studies.

Details

Journal of Asian Business and Economic Studies, vol. 29 no. 4
Type: Research Article
ISSN: 2515-964X

Keywords

1 – 10 of 68