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1 – 10 of 50Bradley Davis and Erin Anderson
The authors demonstrate the usage of data visualization for conveying educational administration research, with a specific focus on differential principal turnover. They model…
Abstract
Purpose
The authors demonstrate the usage of data visualization for conveying educational administration research, with a specific focus on differential principal turnover. They model when and how principals move, over time, between six categories of turnover.
Design/methodology/approach
The authors construct several easy-to-interpret alluvial diagrams that reveal the patterns of differential turnover among 1,113 first-time Texas principals. Furthermore, the authors investigate how these patterns differ across educator characteristics (i.e. race and sex) and school contexts (i.e. school level and campus urbanicity).
Findings
Half of all first-time principals turn over within two years. Most principals who stay in leadership roles leave the district where they were first entered the principalship. Men are promoted more and women turn over less. In a connected finding, the authors conclude that elementary principals turn over less, and middle and high school principals are promoted more often. Principals of color are demoted more often than White principals. Urban school principals exit the system at a greater rate than rural principals.
Originality/value
The significance of this study lies in its direct response to two problems facing the administrator turnover knowledge base – a lack of methodological accessibility and the underutilization of data visualization. The authors’ is the first study to contain visualization of differential turnover outcomes over time. Second, the authors’ study provides a blueprint for data visualization that not only creates new knowledge but also speaks to a wider variety of education stakeholders by presenting complex data in a visual format.
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Samuel Famiyeh, Amoako Kwarteng, Disraeli Asante Darko and Vivian Osei
The purpose of the work is to use a systematic process to identify the environmental and social impacts of small-scale alluvial gold mining projects using data from Ghana.
Abstract
Purpose
The purpose of the work is to use a systematic process to identify the environmental and social impacts of small-scale alluvial gold mining projects using data from Ghana.
Design/methodology/approach
In this work, we used survey data collected from experts in the mining sector. This was followed by the use of a risk analysis approach to identify the significant and non-significant environmental and social impacts.
Findings
Seven key impacts associated with typical alluvial mining operations were identified. The first two are the loss of vegetation and the issue of airborne diseases from dust as a result of vegetation losses during the clearing of vegetation in the block out area. The third and fourth issues were loss of vegetation and airborne diseases as a result of vegetation losses during the removal of overburden. The fifth, sixth and seventh, most significant issues identified were the pollution from smoke fumes from the processing machines; and wastewater from the washing process. The last issue of significance was the dust pollution from the transportation of the washed gravel back to the mined pit.
Research limitations/implications
One main limitation is that the data for this study were collected from Ghana.
Practical implications
The results indicate the need for proper and systematic measures to identify the environmental and social impacts of mining activities.
Originality/value
The work provides some insights into the strategies of identifying environmental and social impacts of mining activities. It is also one of the key works that systematically identify environmental and social impacts of small-scale alluvial gold projects.
David E. Caughlin and Talya N. Bauer
Data visualizations in some form or another have served as decision-support tools for many centuries. In conjunction with advancements in information technology, data…
Abstract
Data visualizations in some form or another have served as decision-support tools for many centuries. In conjunction with advancements in information technology, data visualizations have become more accessible and more efficient to generate. In fact, virtually all enterprise resource planning and human resource (HR) information system vendors offer off-the-shelf data visualizations as part of decision-support dashboards as well as stand-alone images and displays for reporting. Plus, advances in programing languages and software such as Tableau, Microsoft Power BI, R, and Python have expanded the possibilities of fully customized graphics. Despite the proliferation of data visualization, relatively little is known about how to design data visualizations for displaying different types of HR data to different user groups, for different purposes, and with the overarching goal of improving the ways in which users comprehend and interpret data visualizations for decision-making purposes. To understand the state of science and practice as they relate to HR data visualizations and data visualizations in general, we review the literature on data visualizations across disciplines and offer an organizing framework that emphasizes the roles data visualization characteristics (e.g., display type, features), user characteristics (e.g., experience, individual differences), tasks, and objectives (e.g., compare values) play in user comprehension, interpretation, and decision-making. Finally, we close by proposing future directions for science and practice.
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Chao Wang, Longfeng Zhao, André L.M. Vilela and Ming K. Lim
The purpose of this paper is to examine publication characteristics and dynamic evolution of the Industrial Management & Data Systems (IMDS) over the past 25 years from volume 94…
Abstract
Purpose
The purpose of this paper is to examine publication characteristics and dynamic evolution of the Industrial Management & Data Systems (IMDS) over the past 25 years from volume 94, issue 1, in 1994 through volume 118, issue 9, in 2018, using a bibliometric analysis, and identify the leading trends that have affected the journal during this time frame.
Design/methodology/approach
A bibliometric approach was used to provide a basic overview of the IMDS, including distribution of publication and citations, articles citing the IMDS, top-cited papers and publication patterns. Then, a complex network analysis was employed to present the most productive, influential and active authors, institutes and countries/regions. In addition, cluster analysis and alluvial diagram were used to analyze author keywords.
Findings
This study presents the basic bibliometric results for the IMDS and focuses on exploring its performance over the last 25 years. And it reveals the most productive, influential and active authors, institutes and countries/regions in IMDS. Moreover, this study detects the existence of at least five different keywords clusters and discovers how themes have evolved through the intricate citation relationships in IMDS.
Originality/value
The main contribution of this paper is the use of multiple analysis techniques from a complex network paradigm to emphasize the time evolving nature of the co-occurrence networks and to explore the variation of the collaboration networks in the IMDS. For the first time, the evolution of research themes is revealed with a purely data-driven approach.
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Muhammad Rafiq, Omkar Dastane and Rizwan Mushtaq
The purpose of this study is to map the research landscape on the topic of waste management in the business and management domain, with a particular emphasis on pro-environmental…
Abstract
Purpose
The purpose of this study is to map the research landscape on the topic of waste management in the business and management domain, with a particular emphasis on pro-environmental ethical behaviour. The objective is to evaluate publication performance, identify key stakeholders, investigate major clusters, recognise the evolution of themes and offer a research agenda for the future based on bibliometric reflection.
Design/methodology/approach
Preferred Reporting Items for Systematic Review and Meta-Analysis procedure was used to extract and choose a total of 609 publications from the Scopus database from 1985 to 2022. The research then does bibliometric analysis with the open-source R application bibliometrics. The authors used a number of tools and techniques, including a collaboration network, word dynamics, co-occurrence network, thematic map and strategy map.
Findings
The analysis identifies most prolific stakeholders, key clusters and evolving themes in the field. The motor themes, niche themes, basic themes and emerging themes of the field were identified, and future research agenda is proposed based on such identification.
Originality/value
To the best of the authors’ knowledge, this is the first bibliometric study in the field of waste reduction, providing a comprehensive view of the research landscape by analysing more than 50 years of literature focussing on behavioural aspects. These findings could assist policymakers in identifying waste management/reduction priority regions and developing policy guidelines for a more sustainable waste practise. In addition to providing recommendations and future directions for academic research, this report also includes these elements.
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Apoorva A., Ranjan Chaudhuri, Zahid Hussain and Sheshadri Chatterjee
This paper aims to provide a systematic meta-analysis from the year 2000 up to 2021 by reviewing relevant studies in extant literature related to the impact of social media on…
Abstract
Purpose
This paper aims to provide a systematic meta-analysis from the year 2000 up to 2021 by reviewing relevant studies in extant literature related to the impact of social media on mental health.
Design/methodology/approach
This study adopts bibliometric methods and longitudinal statistical analysis to analyze extant literature. The structured literature review and meta-analysis findings on social media usage (SMU) and its impact on mental health indicate emerging research patterns in potentially leading to an integrative view.
Findings
This paper highlights the importance of challenges regarding SMU and its impact on users’ mental health. This study shows interesting meta-analysis on the issues such as Facebook and teenagers’ mental health; Instagram and teenagers’ mental health; Twitter and teenagers’ mental health; and so on from the past 20 years.
Research limitations/implications
This paper is a literature review on a critical social issue like SMU and its impact on users’ mental health. The meta-analysis is conducted only on the indexed paper and does not take the books, blogs and other kinds of literature in this domain. The analysis is carried out only for the research articles published from 2000 to 2021.
Practical implications
Social media refers to any platform involving interactive digital technologies that encourage and facilitate users’ participation. SMU and its impact on users’ mental health can be attributed as contributing factors to the next global crisis. Studies suggest that increased SMU can potentially make users socially anxious. This study provides input to the policymakers, scholars and practitioners to understand the gravity of the situation and develop appropriate policy to overcome the challenges.
Originality/value
The rapidly evolving nature of technology and social media calls for a careful examination of its risks despite the many benefits of e-participation and digital interaction. Although there is widespread acknowledgment of the problematic revelation that the pattern of SMU closely mirrors mainstream addictive behavior; yet, there are only a limited number of comparative studies available. This may be one of the few studies which highlight the issue of SMU and its impact on users’ mental health. Moreover, this study also adds to the body of literature.
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Davide Provenzano, Bartosz Hawelka and Rodolfo Baggio
This paper aims to provide a network study of the structural and dynamical characteristics of tourism flows in Europe from 1995 to 2012.
Abstract
Purpose
This paper aims to provide a network study of the structural and dynamical characteristics of tourism flows in Europe from 1995 to 2012.
Design/methodology/approach
Travels in Europe were studied by following the network science research paradigm and by focusing on the whole network of intra-European tourism destinations. Network analysis was used to map and reveal the pattern of connections between states as shaped by bilateral tourism flows. Data were provided by the United Nations World Tourism Organization, and the data were integrated with tourism data available from national statistical offices of the individual countries, when necessary.
Findings
For 2012, results obtained from the UNWTO record-based network were compared to geo-located Twitter data as a proxy of human mobility patterns. The present analysis provides evidence of a shift towards an increased homogeneity in the travelling preferences of European tourists, an acquired attitude of visitors to travel shorter distances and a tendency of mobility patterns to merge. Finally, the comparison between UNWTO and Twitter data shows a different spatial distribution of visitors. These results provide a useful insight for policymakers involved in tourism planning.
Originality/value
The contribution of this study is threefold. First, to the best of the authors’ knowledge, this is the only study that focuses on the bilateral tourism flows between all countries falling, geographically or politically, under the definition of Europe. Second, evidence is provided of a shift towards a greater homogeneity in the travelling preferences of European tourists. Lastly, for the first time, this study provides a comparison between topological structure and bilateral mobility patterns of tourism flows, based on two different data-recording methods.
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Alexandra Goudis and Dimitris Skuras
Protected designation of origin (PDO) and protected geographical indication (PGI) products form the core of the European Union (EU) quality food policy. Low and fragmented logo…
Abstract
Purpose
Protected designation of origin (PDO) and protected geographical indication (PGI) products form the core of the European Union (EU) quality food policy. Low and fragmented logo recognition perils the entire plan. This work aims to provide a “classification” of European consumers as regards logo awareness based on generic demographic and socio-economic characteristics and to test hypotheses relating PDO awareness with the purchasing behaviour of consumers.
Design/methodology/approach
The work utilises publicly available pan-European databases collected from Eurobarometer in four rolling surveys from 2012 to 2017. The statistical analysis exploits the spatially nested nature of the data.
Findings
The “logo aware” consumer is distinctively different from the average representative European consumer. A range of demographic, human capital and socio-economic characteristics and behavioural and attitudinal traits differentiate the consumers who are aware of the logo. Country and region effects are vital.
Research limitations/implications
Benefits of large and representative samples accrue by utilising available Eurobarometer surveys. This comes at a cost. The individual researcher has no control over the questions included in the questionnaire.
Practical implications
Consumer classification forms the basis of awareness-raising strategies. It reveals the numerous segments of aware and non-aware consumers and opens a discussion about tools and methods to reach out to the European consumer.
Originality/value
This analysis holds an exact pan-European perspective and incorporates consumers' characteristics, behaviour, attitudes and country and region effects.
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Shipra Pathak and Navjit Singh
The purpose of this paper is to explore future directions in E-learning research by analysing data from Scopus indexed publications in order to have a comprehensive overview of…
Abstract
Purpose
The purpose of this paper is to explore future directions in E-learning research by analysing data from Scopus indexed publications in order to have a comprehensive overview of the trends and thematic focus post COVID-19 in Asian context.
Design/methodology/approach
The paper uses Vos viewer and Biblioshiny software packages to analyse the bibliometric data. This software helped in identifying the anatomy of E-learning and their themes which were instrumental in forecasting future trends.
Findings
The paper depicts the trends in post COVID-19 E-learning research in Asian context. It identifies key publications, authors and journals in the field, with a focus on numerous networks of collaboration between writers and nations, identifying keyword clusters and co-citation analysis clusters. This study also explored that China and the USA are having maximum number of collaborations, whereas, countries like India, the United Kingdom, Singapore and New Zealand have comparatively weaker collaboration networks. So there is lot of potential for these countries for such collaborations. India is the most cited country globally and China is having maximum number of scientific productions per year.
Research limitations/implications
The paper has been written by exclusively referring to Scopus database papers. Collecting data from different databases would significantly improve the study. Future researchers can also focus on papers from psychology, computer science and engineering fields as current work is based on open access articles on social business, business and arts and humanities.
Practical implications
This research will be useful to educational institutions that use these platforms to offer E-learning content and match future trends. This study will help researchers in understanding the new dimensions in the field of E-learning.
Originality/value
The current study uses bibliometric analysis to examine the association between E-learning, higher education and COVID-19. It aids in the identification of new difficulties within the complex and expanding study fields in the world of E-learning. Newly published studies on E-learning trends can improve understanding and bridge the knowledge gap. As a result, recommendations can be made to improve and implement newer strategies in field of education.
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Samsur Rahaman, Punita Govil, Daud Khan and Tanja D. Jevremov
The emotion regulation research has drawn considerable attention from academicians and scholars in the contemporary world. As a result, the publications that are specifically…
Abstract
Purpose
The emotion regulation research has drawn considerable attention from academicians and scholars in the contemporary world. As a result, the publications that are specifically dedicated to emotion regulation research are rapidly escalating. Therefore, this study aims to conduct a bibliometric analysis of research articles that have been published in the field of “emotion regulation.” The study primarily examines the growth and development of scholarly publications, seminal studies, influential authors, productive journals, research production and collaboration among countries, emerging research themes, research hotspots and thematic evolution of emotion regulation research.
Design/methodology/approach
The Web of Science Core Collection database was used to gather the study’s data, which was then analysed using VOSviewer and Bibliometrix, Biblioshiney open-source package of the R language environment.
Findings
The study’s results reveal that the research on emotion regulation has grown significantly over the last three decades. Notably, Emotion and Frontiers in Psychology are the most dominant and productive journals in the field of emotion regulation research. The most prominent author in the area of emotion regulation is identified as James Gross, followed by Gratz, Wang and Tull. The USA is at the forefront of research on emotion regulation and has collaborated with most of the developed countries like Germany, England and Canada. The keyword analysis revealed that the most potential research areas in the field of emotion regulation are functional magnetic resonance imaging, amygdala, post-traumatic stress disorder, borderline personality disorder, alexithymia, emotion dysregulation, depression, anxiety, functional connectivity, neuroimaging, mindfulness, self-regulation, resilience and coping. The thematic evolution reflects that the research on emotion regulation has recently focused on issues including Covid-19, non-suicidal self-injury, psychological distress, intimate partner violence and mental health.
Originality/value
The results of this study highlighted the current knowledge gaps in emotion regulation research and suggested areas for further investigation. The present study could be useful for researchers, academicians, planners, publishers and universities engaged in emotion regulation research.
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