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Book part
Publication date: 26 October 2021

Denise Bedford and Thomas W. Sanchez

This chapter explains how to design and operationalize a knowledge network analysis. The authors walk through a nine-step methodology that addresses each stage of the…

Abstract

Chapter Summary

This chapter explains how to design and operationalize a knowledge network analysis. The authors walk through a nine-step methodology that addresses each stage of the process. The nine-step process is the result of an in-depth review of the theoretical and applied literature. The authors explain how and why each step contributes to the quality and goodness of the analysis. The risks of skipping or sub-optimizing steps are explained. The step-by-step process highlights the dependence of a knowledge network analysis on data sources. The authors explain the importance of identifying, collecting, and curating sources.

Details

Knowledge Networks
Type: Book
ISBN: 978-1-83982-949-9

Article
Publication date: 10 November 2022

Tuan-Hui Shen and Cong Lu

This paper aims to develop a method to improve the accuracy of tolerance analysis considering the spatial distribution characteristics of part surface morphology (SDCPSM…

Abstract

Purpose

This paper aims to develop a method to improve the accuracy of tolerance analysis considering the spatial distribution characteristics of part surface morphology (SDCPSM) and local surface deformations (LSD) of planar mating surfaces during the assembly process.

Design/methodology/approach

First, this paper proposes a skin modeling method considering SDCPSM based on Non-Gaussian random field. Second, based on the skin model shapes, an improved boundary element method is adopted to solve LSD of nonideal planar mating surfaces, and the progressive contact method is adopted to obtain relative positioning deviation of mating surfaces. Finally, the case study is given to verify the proposed approach.

Findings

Through the case study, the results show that different SDCPSM have different influences on tolerance analysis, and LSD have nonnegligible and different influence on tolerance analysis considering different SDCPSM. In addition, the LSD have a greater influence on translational deviation along the z-axis than rotational deviation around the x- and y-axes.

Originality/value

The surface morphology with different spatial distribution characteristics leads to different contact behavior of planar mating surfaces, especially when considering the LSD of mating surfaces during the assembly process, which will have further influence on tolerance analysis. To address the above problem, this paper proposes a tolerance analysis method with skin modeling considering SDCPSM and LSD of mating surfaces, which can help to improve the accuracy of tolerance analysis.

Details

Assembly Automation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 14 November 2022

Shameek Mukhopadhyay, Tinu Jain, Sachin Modgil and Rohit Kr Singh

The significance of social media in our lives is manifold. The tourism sector closely interacts with existing and potential tourists through social media, and therefore…

Abstract

Purpose

The significance of social media in our lives is manifold. The tourism sector closely interacts with existing and potential tourists through social media, and therefore, social media analytics (SMA) play a critical role in the uplift of the sector. Hence, this review focus on the role of SMA in tourism as discussed in different studies over a period of time. The purpose of this paper to present the state of the art on social media analytics in tourism.

Design/methodology/approach

The review focuses on identifying different SMA techniques to explore the trends and approaches adopted in the tourism sector. The review is based on 83 papers and discuss the studies related to different social media platforms, the travelers' reactions to a particular place and how the tourism experience is enriched by the way of SMA.

Findings

Findings indicate different sentiments associated with tourism and provides a review of tourists’ use of social media for choosing a travel destination. The various analytical approaches, areas such as social network analysis, content analysis, sentiment analysis and trend analysis were found most prevalent. The theoretical and practical implications of SMA are discussed. The paper made an effort to bridge the gap between different studies in the field of tourism and SMA.

Originality/value

SMA facilitate both tourists and tourism companies to understand the trends, sentiments and desires of tourists. The use of SMA offers value to companies for designing quick and adequate services to tourists.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 25 October 2022

Cristina L. Eftenaru

This paper describes the approach to studying leadership within the interpretive paradigm that the author undertook for their doctoral research.

Abstract

Purpose

This paper describes the approach to studying leadership within the interpretive paradigm that the author undertook for their doctoral research.

Design/methodology/approach

For the study, qualitative data were collected via in-depth interviews and the researcher's systematic reflections. The analytical process consisted of database design and management followed by cyclical interview and cross-interview analyses and integration of the researcher's reflections.

Findings

The paper showed that integrating various qualitative methods in pragmatic ways that better align with the research scope, along with a systematic approach to studying complex phenomena—such as leadership—generated richer and more cohesive perspectives.

Research limitations/implications

This paper provides a detailed account of how the qualitative data collection and analysis methods were used, which could be replicated or adapted for future research within the interpretive paradigm.

Practical implications

The paper helps students and junior researchers make sense of qualitative data analysis and interpretation by offering practical tools to tackle the diverse processes of qualitative research.

Originality/value

This paper is based on the Author's doctoral research, recording their experience with engaging in qualitative research.

Details

Qualitative Research Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1443-9883

Keywords

Article
Publication date: 1 November 2022

Stéphane Clivaz, Audrey Daina, Valérie Batteau, Sara Presutti and Luc-Olivier Bünzli

The article presents the construction of a conceptual framework, which is rooted in mathematics education and in dialogic analysis. It aims to analyse how dialogic…

Abstract

Purpose

The article presents the construction of a conceptual framework, which is rooted in mathematics education and in dialogic analysis. It aims to analyse how dialogic interactions contribute to constructing teachers' mathematical problem-solving knowledge. The article provides one example of this analysis.

Design/methodology/approach

The networking between a content analysis framework (Mathematical Knowledge for Teaching Problem-Solving) and a dialogic analysis framework (Lesson Study Dialogue Analysis) is presented. This leads to the construction of indicators to quantitatively and qualitatively code our data: five meetings during one lesson study cycle of a group of eight Swiss primary teachers, working on the teaching of problem-solving.

Findings

This article does not present empirical findings. The developed conceptual framework is the result presented.

Research limitations/implications

The presented framework allows modelling, on the one hand, the knowledge relating to the teaching and learning of problem-solving and, on the other hand, the analysis of interactions during a lesson study. The article does not contain the results of the research.

Practical implications

The use of our framework can contribute to teacher educators' and facilitators' training by highlighting which types of intervention are favourable to the development of knowledge.

Originality/value

Our analysis involves a “systematic coding” approach. It allows a fine-grained analysis of the interactions in relation to the evolution of knowledge. Such a systematic approach offers the possibility of questioning the coded data in various ways.

Details

International Journal for Lesson & Learning Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-8253

Keywords

Article
Publication date: 18 October 2022

Alisha Ralph and Akarsh Arora

This study aims to investigate the global issues of youth unemployment using bibliometric analysis covering the period from 1983 to 2022. There is a dearth of a…

Abstract

Purpose

This study aims to investigate the global issues of youth unemployment using bibliometric analysis covering the period from 1983 to 2022. There is a dearth of a bibliometric study analysis on unemployment, particularly youth unemployment even at the global level. The present study seeks to fill this gap by exploring the prominent studies related to youth unemployment at the global level.

Design/methodology/approach

Using VOSviewer software bibliometric results and the Scopus database, the study uncovered the most frequently cited, prominent and influential authors, as well as the institutions that have worked on youth unemployment and the most prominent keywords published on youth unemployment.

Findings

Nearly 80% of the research articles on youth unemployment were published from 2005 to 2022, and a significant increase in publication after 2012 is observed. Based on the published papers, the most studied determinants of youth unemployment are increased levels of regional economic advances, state demographics, relocation, household conditions, regional openness and export/import. Economic freedom, labour market reforms, economic growth, high proportion of part-time employment, active labour market policies, minimum wage norms, extent of bargaining scope and alignment are prominent determinants that reduce unemployment at large and improve labour market performance of youth in particular.

Research limitations/implications

Bibliometric analysis, like the present study, can narrow down the most prominent sources of information on youth unemployment for beginners in this field of research.

Practical implications

This bibliometric study on youth employment assists researchers and policymakers in understanding and summarizing the necessary determinants of youth employment that are already being identified and studied based on practical evidence from the authors’ case study-based research work. The present study raises the issue of youth unemployment at large. It helps in identifying factors in one place and thus new researchers can use it as a starting point for their research on youth unemployment. It helps in providing clustering of factors. It highlighted the significant studies, authors and institutions working in this field.

Social implications

On social implication, it can be argued that studies on topics related to human resources have a direct impact on society standards. By producing scientific knowledge that aids in the recognition of the complexities of human processes and behaviours, social science research significantly contributes to the enrichment of the community as a whole. When young people are unemployed, it causes social unrest and may increase crime and terrorism, all of which contribute to political instability. Youth unemployment causes psychological illness because of anxiety, alienation and depression. As a result, it causes social instability and necessitates immediate attention in all societies. The present study highlights that although the unemployment rate of youth is significantly higher in underdeveloped countries than the developed countries, their representation in the publication is significantly low. This under-representation of countries shows their lack of commitment to society in working on the issue of youth unemployment.

Originality/value

It is assumed that there are plenty of research studies on unemployment, particularly at the global level. However, various domains of researchers may require a bibliometric kind of analysis wherein they may get an idea about the prominent number of literatures arguing concerning issues at large, in the sense of “focused studies” covering the comprehensive viewpoint on youth unemployment. The paper aimed to emphasize the topic of youth unemployment, its development in the research field and the usefulness of bibliometric analysis in social sciences in general, and youth unemployment in particular.

Details

Journal of Enterprising Communities: People and Places in the Global Economy, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6204

Keywords

Article
Publication date: 1 November 2022

Hiba Zaidi and Feza Tabassum Azmi

Pro-environmental behaviour (PEB) has always been one of the most critical topics in academia and industry. The primary goal of this study is to identify the current…

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Abstract

Purpose

Pro-environmental behaviour (PEB) has always been one of the most critical topics in academia and industry. The primary goal of this study is to identify the current research progress and developmental trends of PEB by doing an exhaustive analysis of the existing literature. The study also aims to streamline the future research possibilities in PEB with the current research interests.

Design/methodology/approach

A total of 209 published articles from 1993 to 2021 were collected from the Scopus database and analysed using an integrated approach of bibliometric analysis, network analysis, and content analysis techniques. The bibliometric analysis was performed with the help of statistical program “R,” and further analysis was carried out using Gephi and VOS viewer software.

Findings

The systematic mapping of this field gives an exhaustive review of the available literature by identifying annual publication growth, most contributing authors, journals, emerging keywords, and themes. Sustainability was found to be the most contributing journal, and Paille was the topmost contributing author. The keywords such as corporate social responsibility, organizational citizenship behaviour towards the environment (OCBE), and green human resource management (HRM) were recently identified as the emerging niche in the literature. The content analysis findings give a robust roadmap for further research in this area.

Originality/value

This study enriches the literature on workplace pro-environmental behaviour by presenting a detailed, systematic, and exhaustive review of the existing publications using a combination of research methodology.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 25 October 2022

Ali Uyar, Moataz Elmassri, Cemil Kuzey and Abdullah S. Karaman

Drawing on legitimacy theory, this study aims to investigate whether the benefits of the external assurance process pass beyond the current period and help firms improve…

Abstract

Purpose

Drawing on legitimacy theory, this study aims to investigate whether the benefits of the external assurance process pass beyond the current period and help firms improve corporate social responsibility (CSR) performance in the subsequent periods. Furthermore, the authors examine whether corporate governance (CG) and firm visibility moderate the relationship between assurance and CSR performance.

Design/methodology/approach

The authors retrieved data from Thomson Reuters from 2002 to 2019 and executed a fixed-effects (FE) panel regression analysis. The country-level sample distribution includes 63 countries with 4,625 unique firms and 29,054 data points within these countries. The authors run several robustness tests using an alternative subsample, instrumental variable regression analysis, country-industry-year FE regression analysis, excluding the financial sector and including additional control variables and regression analysis based on propensity score matching.

Findings

The findings indicate that external assurance helps firms achieve greater CSR performance in the current period and the subsequent two periods following external assurance. However, external assurance exerts its strongest positive impact on CSR performance in the current period, and its influence extends, albeit at a weaker level, to the following two periods. Furthermore, the first moderation analysis reveals that governance structure helps firms translate the assurance process into the greater social performance but does not help to achieve higher environmental performance. The second moderation analysis reveals that firm visibility/size positively moderates between the assurance process and governance and social performance but not between the assurance process and environmental performance.

Originality/value

Despite the concurrent association between CSR performance and assurance being examined before, the lag-lead relationship is the novelty of the study to highlight the long-term effect of assurance on CSR performance. Besides, although the direct effect of both CG practices and firm visibility on CSR performance and the external assurance process has been investigated before, the authors extend the literature by examining the moderating effect of CG practices and firm visibility on the external assurance and CSR performance relationship. This provides a better explanation of the extent to which the effect of external assurance on CSR performance is constructed and conditioned by CG practices and firm visibility, thereby drawing attention to contingencies’ role in firms’ practices.

Details

Corporate Governance: The International Journal of Business in Society, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1472-0701

Keywords

Article
Publication date: 19 September 2022

Joyce Weil

Although thematic analysis is a commonly used technique, this paper aims to explore the potential advantages (and drawbacks) of both thematic analysis and a dialogic…

Abstract

Purpose

Although thematic analysis is a commonly used technique, this paper aims to explore the potential advantages (and drawbacks) of both thematic analysis and a dialogic approach to qualitative data analysis.

Design/methodology/approach

Initially, the epistemology and application of each design, thematic analysis and dialogic analysis are compared. Then, examples of coding segments of narrative data from 85 open-ended interviews with older adults exploring the meaning of place and place-attachment are presented through both thematic and dialogic analyses.

Findings

The conclusion offers suggestions about how dialogic analysis can add additional context and more participant inclusion and agency to thematic analysis.

Originality/value

The blending of these two qualitative analysis approaches offers better emphasis on fully presenting older individuals’ narratives.

Details

Working with Older People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1366-3666

Keywords

Article
Publication date: 6 September 2022

Rajan Kumar Gangadhari, Vivek Khanzode, Shankar Murthy and Denis Dennehy

This paper aims to identify, prioritise and explore the relationships between the various barriers that are hindering the machine learning (ML) adaptation for analysing…

Abstract

Purpose

This paper aims to identify, prioritise and explore the relationships between the various barriers that are hindering the machine learning (ML) adaptation for analysing accident data information in the Indian petroleum industry.

Design/methodology/approach

The preferred reporting items for systematic reviews and meta-analysis (PRISMA) is initially used to identify key barriers as reported in extant literature. The decision-making trial and evaluation laboratory (DEMATEL) technique is then used to discover the interrelationships between the barriers, which are then prioritised, based on three criteria (time, cost and relative importance) using complex proportional assessment (COPRAS) and multi-objective optimisation method by ratio analysis (MOORA). The Delphi method is used to obtain and analyse data from 10 petroleum experts who work at various petroleum facilities in India.

Findings

The findings provide practical insights for management and accident data analysts to use ML techniques when analysing large amounts of data. The analysis of barriers will help organisations focus resources on the most significant obstacles to overcome barriers to adopt ML as the primary tool for accident data analysis, which can save time, money and enable the exploration of valuable insights from the data.

Originality/value

This is the first study to use a hybrid three-phase methodology and consult with domain experts in the petroleum industry to rank and analyse the relationship between these barriers.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

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