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1 – 10 of over 9000David B. Zoogah and Julaine S. Rigg
To expose strategic management scholars in Africa, particularly graduate students and new faculty members, to bibliometrics, a fast-growing approach for examining the impact of…
Abstract
Purpose
To expose strategic management scholars in Africa, particularly graduate students and new faculty members, to bibliometrics, a fast-growing approach for examining the impact of individual and collective scholarly.
Design/methodology/approach
We review the bibliographic analysis approach by discussing its origin, development, and process. We then advance to a dynamic multilevel model that can be used to examine strategic management contributions at the individual and collective levels. Bibliometric analysis is being used extensively in such fields as library science, agriculture, economics, medicine, psychology, and more recently in management areas such as entrepreneurship, strategy, and international business. In addition to its wide application, bibliometric analysis has relevance for strategic management research in Africa which is characterized by major research constrains.
Findings
Illustrations are provided with procedures for conducting bibliometric analysis. We conclude by making recommendations on what to consider in using the approach for the study of strategic management in Africa.
Research limitations/implications
We discuss the strengths and weaknesses of the approach as well as suggestions on maximizing its potential.
Practical implications
The approach is an invaluable source particularly for graduate students of strategy. They can be used to supplement other approaches in the study of strategic management impact.
Originality/value
To our knowledge, this chapter seems to be the first to propose bibliometric analysis for the study of strategic management in the African context. In that regard, it fills a gap in the research methodology literature. It can therefore help graduate students and junior faculty improve their careers.
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Peter Madzík, Lukáš Falát, Lukáš Copuš and Marco Valeri
This bibliometric study provides an overview of research related to digital transformation (DT) in the tourism industry from 2013 to 2022. The goals of the research are as…
Abstract
Purpose
This bibliometric study provides an overview of research related to digital transformation (DT) in the tourism industry from 2013 to 2022. The goals of the research are as follows: (1) to identify the development of academic papers related to DT in the tourism industry, (2) to analyze dominant research topics and the development of research interest and research impact over time and (3) to analyze the change in research topics during the pandemic.
Design/methodology/approach
In this study, the authors processed 3,683 papers retrieved from the Web of Science and Scopus. The authors performed different types of bibliometric analyses to identify the development of papers related to DT in the tourism industry. To reveal latent topics, the authors implemented topic modeling based on latent Dirichlet allocation with Gibbs sampling.
Findings
The authors identified eight topics related to DT in the tourism industry: City and urban planning, Social media, Data analytics, Sustainable and economic development, Technology-based experience and interaction, Cultural heritage, Digital destination marketing and Smart tourism management. The authors also identified seven topics related to DT in the tourism industry during the Covid-19 pandemic; the largest ones are smart analytics, marketing strategies and sustainability.
Originality/value
To identify research topics and their development over time, the authors applied a novel methodological approach – a smart literature review. This machine learning approach is able to analyze a huge amount of documents. At the same time, it can also identify topics that would remain unrevealed by a standard bibliometric analysis.
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Nicola Cobelli and Silvia Blasi
This paper explores the Adoption of Technological Innovation (ATI) in the healthcare industry. It investigates how the literature has evolved, and what are the emerging innovation…
Abstract
Purpose
This paper explores the Adoption of Technological Innovation (ATI) in the healthcare industry. It investigates how the literature has evolved, and what are the emerging innovation dimensions in the healthcare industry adoption studies.
Design/methodology/approach
We followed a mixed-method approach combining bibliometric methods and topic modeling, with 57 papers being deeply analyzed.
Findings
Our results identify three latent topics. The first one is related to the digitalization in healthcare with a specific focus on the COVID-19 pandemic. The second one groups up the word combinations dealing with the research models and their constructs. The third one refers to the healthcare systems/professionals and their resistance to ATI.
Research limitations/implications
The study’s sample selection focused on scientific journals included in the Academic Journal Guide and in the FT Research Rank. However, the paper identifies trends that offer managerial insights for stakeholders in the healthcare industry.
Practical implications
ATI has the potential to revolutionize the health service delivery system and to decentralize services traditionally provided in hospitals or medical centers. All this would contribute to a reduction in waiting lists and the provision of proximity services.
Originality/value
The originality of the paper lies in the combination of two methods: bibliometric analysis and topic modeling. This approach allowed us to understand the ATI evolutions in the healthcare industry.
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Meenal Arora, Jaya Gupta, Amit Mittal and Anshika Prakash
Considering the swift adoption of innovative sustainability practices in businesses to accomplish sustainable development goals (SDGs), research on corporate sustainability has…
Abstract
Purpose
Considering the swift adoption of innovative sustainability practices in businesses to accomplish sustainable development goals (SDGs), research on corporate sustainability has increased significantly over the years. This research intends to analyze the published literature, emphasizing the existing, emerging and future research directions on achieving the SDGs through corporate sustainability.
Design/methodology/approach
This research analyzed the growing trends in corporate sustainability by incorporating 2,038 Scopus articles published between 1999 and 2022 using latent Dirichlet allocation (LDA) topic modeling, bibliometrics and qualitative content analysis techniques. The bibliometric data were analyzed using performance and science mapping. Thereafter, topic modeling and content analysis uncovered the topics included under the corporate sustainability umbrella.
Findings
The findings indicate that investigation into corporate sustainability has considerably increased from 2015 to date. Additionally, the majority of studies on corporate sustainability are from the United States of America, the United Kingdom and Germany. Besides, the USA has the most collaboration in terms of co-authorship. S. Schaltegger was considered the most productive author. However, P. Bansal was ranked as the top author based on a co-citation analysis of authors. Further, bibliometric data were evaluated to analyze leading publications, journals and institutions. Besides, keyword co-occurrence analysis, topic modeling and content analysis highlighted the theoretical underpinnings and new patterns and provided directions for further research.
Originality/value
This study demonstrates various existing and emerging themes in corporate sustainability, which have various repercussions for academicians and organizations. This research also examines the lagging themes in the current domain.
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Faizan Ali, Eunhye (Olivia) Park, Junehee Kwon and Bongsug (Kevin) Chae
This paper aims to showcase the trends in the research topics and their contributors over a time period of 30 years in the International Journal of Contemporary Hospitality…
Abstract
Purpose
This paper aims to showcase the trends in the research topics and their contributors over a time period of 30 years in the International Journal of Contemporary Hospitality Management (IJCHM). To be specific, this paper uncovers IJCHM’s latent topics and hidden patterns in published research and highlights the differences across three decades and before and after Social Sciences Citation indexing.
Design/methodology/approach
In total, 1,573 documents published over 199 issues of IJCHM were analyzed using two computational tools, i.e. metaknowledge and structural topic modeling (STM), as the basis of the mixed method. STM was used to discover the evolution of topics over time. Moreover, bibliometrics (and network analysis) were used to highlight IJCHM’s top researchers, top-cited references, the geographical networks of the researchers and differences in the collaborative networks.
Findings
The number of papers published continually increased over time with changes of key researchers publishing in IJCHM. The co-authorship networks have also changed and revealed an increasing diversity of authorship and collaborations among authors in different countries. Moreover, the variety of topics and the relative weight of each topic have also changed.
Research limitations/implications
Based on the findings of this study, theoretical and practical implications for hospitality and tourism researchers are provided.
Originality/value
It is the first attempt to apply topic modeling to a leading academic journal in hospitality and tourism and explore the diversity in contemporary hospitality management research (topics and contributors) from 30 years of published research.
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Yogesh Sharma and Rajeev Sijariya
The purpose of this study is to examine the trends and developments of subscription business models (SBMs) over the past two decades.
Abstract
Purpose
The purpose of this study is to examine the trends and developments of subscription business models (SBMs) over the past two decades.
Design/methodology/approach
The study extracted 469 documents (articles and reviews) from the Scopus database during 2000–2022 and analysed 132 documents (articles and reviews). A bibliometric methodology of scientific mapping was employed, including a cluster analysis based on the bibliographic coupling of documents. Content analysis was also conducted to reveal emerging trends in SBMs.
Findings
The study revealed six emerging themes in SBMs related to consumer behaviour, digital advertising, online news media, journal publications, circular economy and sustainability strategies.
Originality/value
The results of this study provide new and unique insights into the development and trends of SBMs over the past two decades and offer guidance for future researchers to investigate further the phenomenon of SBMs in emerging areas.
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The purpose of this paper is to provide to scientific researchers and academic students some subsidies related to information reliability that may be used during information…
Abstract
Purpose
The purpose of this paper is to provide to scientific researchers and academic students some subsidies related to information reliability that may be used during information search and retrieval for academic research based on the author’s experience as a university librarian and interdisciplinary researcher.
Design/methodology/approach
The paper is composed of a brief conceptualization of the term information reliability, followed by a practical guide containing three processes for obtaining reliable information: knowledge of bibliometric indicators, evaluation of sources of information and analysis of the content of recovered publications.
Findings
Currently, there are few publications about information reliability that target the practical and effective learning of academic researchers and students, based on the experience of librarians who work directly with bibliographic search and training based on scientific literature.
Social implications
The great demand of questions submitted by academic users on how to obtain reliable information shows the need for a paper like this to clarify them.
Originality/value
This paper shares best practices for search and discovery of information reliability, which are based on experiences that are not commonly addressed in the literature, and presents processes covering the bibliometric indicators, information sources and publication contents.
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Larissa Medianeira Bolzan, Claudia Cristina Bitencourt and Bibiana Volkmer Martins
Social innovation is a recent theme, and the practices related to this area are characterized by punctual actions and projects restricted by time and space that make it difficult…
Abstract
Purpose
Social innovation is a recent theme, and the practices related to this area are characterized by punctual actions and projects restricted by time and space that make it difficult to develop strategies that can be sustained in this field. Therefore, one point that deserves to be highlighted in studies on social innovation is a matter of scalability. This paper aims to deal with a bibliometry whose objective was to map the existing studies about scalability of social innovation carried out in the Capes and EBSCOHost portals.
Design/methodology/approach
This paper deals with a bibliometry. The topic researched in this bibliometry is scalability of social innovation. The databases chosen for this research were Portal Periódico Capes and EBSCOHost because they are the leading providers of search databases.
Findings
A total of 42 papers were considered, distributed between 2002 and 2017. The analysis criteria for the study were origin (composed by year, author, country of origin, periodical and impact factor), focus of the investigations, justification, method and main techniques of research, contributions and theoretical advances and challenges and paths.
Originality/value
Among the main results found, one of them is that scalability is a topic that began to be researched recently, so that the USA and Brazil lead the research. Most of the studies focused on the scalability process and justified the importance of studies on the subject as a way to explore the potential of expanding the social impacts of a social innovation. Several studies have emphasized the role of networks as being quite positive for the scalability process and have been concerned with identifying factors that contribute to the scalability process. The challenge that most stood out among the papers was the financial sustainability of a social innovation. At the end, a research agenda was proposed.
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Yanhui Song and Jiayi Cao
The purpose of this paper is to predict bibliometric indicators based on ARIMA models and to study the short-term trends of bibliometric indicators.
Abstract
Purpose
The purpose of this paper is to predict bibliometric indicators based on ARIMA models and to study the short-term trends of bibliometric indicators.
Design/methodology/approach
This paper establishes a non-stationary time series ARIMA (p, d, q) model for forecasting based on the bibliometric index data of 13 journals in the library intelligence category selected from the Chinese Social Sciences Citation Index (CSSCI) as the data source database for the period 1998–2018, and uses ACF and PACF methods for parameter estimation to predict the development trend of the bibliometric index in the next 5 years. The predicted model was also subjected to error analysis.
Findings
ARIMA models are feasible for predicting bibliometric indicators. The model predicted the trend of the four bibliometric indicators in the next 5 years, in which the number of publications showed a decreasing trend and the H-value, average citations and citations showed an increasing trend. Error analysis of the model data showed that the average absolute percentage error of the four bibliometric indicators was within 5%, indicating that the model predicted well.
Research limitations/implications
This study has some limitations. 13 Chinese journals were selected in the field of Library and Information Science as the research objects. However, the scope of research based on bibliometric indicators of Chinese journals is relatively small and cannot represent the evolution trend of the entire discipline. Therefore, in the future, the authors will select different fields and different sources for further research.
Originality/value
This study predicts the trend changes of bibliometric indicators in the next 5 years to understand the trend of bibliometric indicators, which is beneficial for further in-depth research. At the same time, it provides a new and effective method for predicting bibliometric indicators.
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Arho Suominen and Marko Seppänen
Motivated with the ever growing number of bibliometric trend extrapolation studies, the purpose of this paper is to demonstrate through two technologies how the selection of an…
Abstract
Purpose
Motivated with the ever growing number of bibliometric trend extrapolation studies, the purpose of this paper is to demonstrate through two technologies how the selection of an upper limit of growth affects the correlation and causality of technology development measured with bibliometric data.
Design/methodology/approach
The paper uses Gompertz and Fisher-Pry curves to model the technological development of white light emitting diodes and flash memory, and show with extrapolation results from several bibliometric sources how a typical bias is caused in trend extrapolations.
Findings
The paper shows how drastic an effect the decision to set an upper bound has on trend extrapolations, to be used as a reference for applications. The paper recommends carefully examining the interconnection of actual development and bibliometric activity.
Originality/value
Despite increasing interest in modelling technological data using this method, reports rarely discuss basic assumptions and their effects on outcomes. Since trend extrapolations are applied more widely in different disciplines, the basic limitations of methods should be explicitly expressed.
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