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1 – 10 of 360
Article
Publication date: 16 December 2021

Yu-Jung Cheng and Shu-Lai Chou

This study applies digital humanity tools (Gephi and Protégé) for establishing and visualizing ontologies in the cultural heritage domain. According to that, this study…

Abstract

Purpose

This study applies digital humanity tools (Gephi and Protégé) for establishing and visualizing ontologies in the cultural heritage domain. According to that, this study aims to develop a novel evaluation approach using five ontology indicators (data overview, visual presentation, highlight links, scalability and querying) to evaluate the knowledge structure presentation of cultural heritage ontology.

Design/methodology/approach

The researchers collected and organized 824 pieces of government’s open data (GOD), converted GOD into the resource description framework format, applied Protégé and Gephi to establish and visualize cultural heritage ontology. After ontology is built, this study recruited 60 ontology participants (30 from information and communications technology background; 30 from cultural heritage background) to operate this ontology and gather their different perspectives of visual ontology.

Findings

Based on the ontology participant’s feedback, this study discovered that Gephi is more supporting than Protégé when visualizing ontology. Especially in data overview, visual presentation and highlight links dimensions, which is supported visualization and demonstrated ontology class hierarchy and property relation, facilitated the wider application of ontology.

Originality/value

This study offers two contributions. First, the researchers analyzed data on East Asian architecture with novel digital humanities tools to visualize ontology for cultural heritage. Second, the study collected participant’s feedback regarding the visualized ontology to enhance its design, which can serve as a reference for future ontological development.

Details

The Electronic Library , vol. 40 no. 1/2
Type: Research Article
ISSN: 0264-0473

Keywords

Abstract

Details

Sociometrics and Human Relationships
Type: Book
ISBN: 978-1-78714-113-1

Article
Publication date: 4 November 2020

Pachayappan Murugaiyan and Venkatesakumar Ramakrishnan

Little attention has been paid to restructuring existing massive amounts of literature data such that evidence-based meaningful inferences and networks be drawn therefrom…

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Abstract

Purpose

Little attention has been paid to restructuring existing massive amounts of literature data such that evidence-based meaningful inferences and networks be drawn therefrom. This paper aims to structure extant literature data into a network and demonstrate by graph visualization and manipulation tool “Gephi” how to obtain an evidence-based literature review.

Design/methodology/approach

The main objective of this paper is to propose a methodology to structure existing literature data into a network. This network is examined through certain graph theory metrics to uncover evidence-based research insights arising from existing huge amounts of literature data. From the list metrics, this study considers degree centrality, closeness centrality and betweenness centrality to comprehend the information available in the literature pool.

Findings

There is a significant amount of literature on any given research problem. Approaching this massive volume of literature data to find an appropriate research problem is a complicated process. The proposed methodology and metrics enable the extraction of appropriate and relevant information from huge quantities of literature data. The methodology is validated by three different scenarios of review questions, and results are reported.

Research limitations/implications

The proposed methodology comprises of more manual hours to structure literature data.

Practical implications

This paper enables researchers in any domain to systematically extract and visualize meaningful and evidence-based insights from existing literature.

Originality/value

The procedure for converting literature data into a network representation is not documented in the existing literature. The paper lays down the procedure to structure literature data into a network.

Details

Journal of Modelling in Management, vol. 17 no. 1
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 5 August 2021

Maria Klona, Jane Menzies and Ambika Zutshi

Terrorism is as old as humanity itself, but its new form in the twenty-first century is adversely affecting the performance of businesses in both developing and developed…

Abstract

Purpose

Terrorism is as old as humanity itself, but its new form in the twenty-first century is adversely affecting the performance of businesses in both developing and developed countries. The purpose of this study is to identify and analyse the evolution and diffusion of academic knowledge on the topic of terrorism in business-related literature.

Design/methodology/approach

Data was gathered from two databases, namely, the Scopus and Web of Science over 30 years (1990–2019). The search terms related to terrorism in titles, abstracts and authors’ keywords, which resulted in a total of 1,097 articles. Bibliometric methods, including a thematic and content analysis identifying main themes and using Gephi and VOSviewer software, were used to analyse the data.

Findings

The results reveal the productivity of the main actors, current thematic choices and future research opportunities. The main thematic areas of the research arising from the bibliometric analysis included the impact of terrorism on economic growth, Foreign Direct Investment, tourism, stock market reforms, security of multinational corporations as a result of terrorism and finally, the impact of political instability and terrorism on business. This study’s findings may guide the research of future academics and assist policy stakeholders in their strategic choices related to future business development.

Research limitations/implications

The study has certain limitations that are inherent to the bibliometric methods or to the choices related to data collection and processing.

Practical implications

This study recognised evolution and trends regarding the influence of terrorism on businesses, which is crucial information for the development of business and policy strategies in the future. These strategies should enhance the ability of businesses to cope with the negative effects of terrorism and make these effects less devastating. For academics, this study provides relevant insights on recent research trends in the field of terrorism in business and emerging future academic thematic opportunities.

Social implications

The findings of the study indicate that issues of terrorism in business have broader social implications, which both academia and policy stakeholders can attend with their work.

Originality/value

This bibliometric review offers new insights into terrorism from the business lens by identifying the common streams of research in the field, along with the key journals, articles, countries, institutions, authors, data sources and networks in this field. The future research directions in this field of knowledge are also articulated in the study.

Details

International Journal of Conflict Management, vol. 32 no. 5
Type: Research Article
ISSN: 1044-4068

Keywords

Article
Publication date: 8 August 2016

Deepa Mishra, Angappa Gunasekaran, Stephen J. Childe, Thanos Papadopoulos, Rameshwar Dubey and Samuel Wamba

The emergent field of Internet of Things (IoT) has been evolving rapidly with a geometric growth in the number of academic publications in this field. The purpose of this…

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Abstract

Purpose

The emergent field of Internet of Things (IoT) has been evolving rapidly with a geometric growth in the number of academic publications in this field. The purpose of this paper is to review the literature of IoT in past 16 years using rigorous bibliometric and network analysis tools, offering at the same time future directions for the IoT research community and implications for managers and decision makers.

Design/methodology/approach

The authors adopted the techniques of bibliometric and network analysis. The paper reviewed the articles published on IoT from 2000 to 2015.

Findings

This study identifies top contributing authors; key research topics related to the field; the most influential works based on citations and PageRank; and established and emerging research clusters. Scholars are encouraged to further explore this topic.

Research limitations/implications

This study focusses only on vision and applications of IoT. Scholars may explore various other aspects of this area of research.

Originality/value

To the best of authors’ knowledge, this is the first study to review the literature on IoT by using bibliometric and network analysis techniques. The study is unique as it spans a long time period of 16 years (2000-2015). The study proposes a five-cluster classification of research themes that may inform current and future research in IoT.

Details

Industrial Management & Data Systems, vol. 116 no. 7
Type: Research Article
ISSN: 0263-5577

Keywords

Content available
Article
Publication date: 29 January 2021

Zhiyong Li, Xiaoxuan Zhang, Kailu Yang, Russ Singer and Rui Cui

COVID-19 has severely affected urban and rural tourism in China, which has been extensively reported in the newspapers. This paper aims to discuss the impact of COVID-19…

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Abstract

Purpose

COVID-19 has severely affected urban and rural tourism in China, which has been extensively reported in the newspapers. This paper aims to discuss the impact of COVID-19 on urban and rural tourism at each critical juncture of the COVID-19 pandemic, as well as the studies, measures and attitudes of various stakeholders toward urban and rural tourism and their future development.

Design/methodology/approach

This paper collects Chinese news reports as the research object and uses ROST Content Mining 6.0 and Gephi software to analyze and visualize the data for high-frequency words and analyzed the discourse of stakeholders within the newspaper text.

Findings

This study found that prior to February 20, 2020, the Chinese Government mainly focused on pandemic prevention. From February 21 to April 3 (before The Qingming Festival), resumption of work and production became the theme. From April 4 to May 1 (before May Day), a time-sharing reservation system was widely implemented and the differentiation between urban and rural tourism became more prominent. After May 1, rural tourism attracted greater attention.

Originality/value

This paper uses discourse analysis to understand the impact of COVID-19 on urban and rural tourism from the perspective of time nodes and the relationship between various stakeholders and predicts the development trends within urban and rural tourism. This paper enriches and expands tourism management knowledge in the face of major crises, providing valuable advice for managers and investors and makes suggestions for the development of urban and rural tourism.

目的

COVID-19已严重影响了中国的城市和乡村旅游业, 报纸上对此进行了广泛报道。本文旨在探讨在COVID-19大流行的每个关键时刻对城乡旅游的影响, 以及各种利益相关者对城乡旅游及其未来发展的观点, 措施和态度。

设计/方法

本文以中文新闻报道为研究对象, 利用ROST Content Mining 6.0和Gephi软件对高频词数据进行分析和可视化, 分析了报纸正文中利益相关者的话语。

结果

这项研究发现, 在2020年2月20日之前, 中国政府主要将重点放在疫情防控上。 2月21日至4月3日(清明节之前), 复工复产成为主题。 从4月4日至5月1日(五一节之前), 分时预约系统得到广泛实施, 城市和乡村旅游业的区别更加突出。 5月1日之后, 乡村旅游引起了更多关注。

创意/价值

本文通过话语分析从时间节点和各个利益相关者之间的关系的角度了解了COVID-19对城乡旅游业的影响, 并预测了城乡旅游业的发展趋势。 面对重大危机, 本文丰富和扩展了旅游管理知识, 为管理者和投资者提供了宝贵的建议, 并为城乡旅游业的发展提供了建议。

Propósito

COVID-19 ha afectado gravemente al turismo urbano y rural en China, que ha sido ampliamente informado en los periódicos. Este documento tiene como objetivo discutir el impacto de COVID-19 en el turismo urbano y rural en cada coyuntura crítica de la pandemia de COVID-19, así como los puntos de vista, las medidas y las actitudes de diversos interesados en relación con el turismo urbano y rural y su desarrollo futuro.

Diseño/metodología/enfoque

Este documento recopiló informes de noticias chinos como objeto de investigación y utilizó el software ROST Content Mining 6.0 y Gephi para analizar y visualizar los datos de palabras de alta frecuencia y analizó el discurso de los interesados dentro del texto del periódico.

Conclusiones

Este estudio encontró que antes del 20 de febrero de 2020, el gobierno chino se centró principalmente en la prevención de la pandemia en lugares pintorescos. Del 21 de febrero al 3 de abril (antes del Festival de Qingming), la reanudación del trabajo y la producción se convirtió en el tema. Desde el 4 de abril hasta el 1 de mayo (antes del Primero de Mayo), se implementó ampliamente un sistema de reserva de tiempo compartido y la diferenciación entre el turismo urbano y el rural se hizo más prominente. Después del 1 de mayo, el turismo rural atrajo mayor atención.

Originalidad/valor

En este documento, se utiliza el análisis del discurso para comprender el impacto de COVID-19 en el turismo urbano y rural desde la perspectiva de los nodos de tiempo y la relación entre los diversos interesados y se predice las tendencias de desarrollo dentro del turismo urbano y rural. Este trabajo enriquece y amplía el conocimiento de la gestión turística frente a las grandes crisis, brindando valiosos consejos a administradores e inversores, y hace sugerencias para el desarrollo del turismo urbano y rural.

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

Open Access
Article
Publication date: 25 April 2022

Adetayo Olugbenga Onososen and Innocent Musonda

Rapid urbanisation and recent shock events have reiterated the need for resilient infrastructure, as seen in the pandemic. Yet, knowledge gaps in construction robotics and…

Abstract

Purpose

Rapid urbanisation and recent shock events have reiterated the need for resilient infrastructure, as seen in the pandemic. Yet, knowledge gaps in construction robotics and human–robot teams (HRTs) research limit maximising these emerging technologies’ potentials. This paper aims to review the state of the art of research in this area to identify future research directions in HRTs able to aid the resilience and responsiveness of the architecture, engineering and construction (AEC) sector.

Design/methodology/approach

A total of 71 peer-reviewed journal articles centred on robotics and HRTs were reviewed through a quantitative approach using scientometric techniques using Gephi and VOSviewer. Research focus deductions were made through bibliometric analysis and co-occurrence analysis of reviewed publications.

Findings

This study revealed sparse and small research output in this area, indicating immense research potential. Existing clusters signifying the need for further studies are on automation in construction, human–robot teaming, safety in robotics and robotic designs. Key publication outlets and construction robotics contribution towards the built environment’s resilience are discussed.

Practical implications

The identified gaps in the thematic areas illustrate priorities for future research focus. It raises awareness on human factors in collaborative robots and potential design needs for construction resilience.

Originality/value

Rapid urbanisation and recent shock events have reiterated the need for resilient infrastructure, as seen in the pandemic. Yet, knowledge gaps in construction robotics and HRTs research limit maximising these emerging technologies’ potentials. This paper aims to review the state of the art of research in this area to identify future research directions in HRTs able to aid the resilience and responsiveness of the AEC sector.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

Keywords

Article
Publication date: 14 April 2022

Reza Kiani Mavi, Neda Kiani Mavi, Doina Olaru, Sharon Biermann and Sae Chi

This paper systematically evaluates the existing literature of innovations in freight transport, including all modes, to uncover the key research themes and methodologies…

Abstract

Purpose

This paper systematically evaluates the existing literature of innovations in freight transport, including all modes, to uncover the key research themes and methodologies employed by researchers to study innovations and their implications in this industry. It analyses the role of transport and the impact of innovations during crises, such as COVID-19.

Design/methodology/approach

Qualitative and quantitative analysis of the innovations in freight transport unravels the pre-requisites of such endeavours in achieving a resilient and sustainable transport network that effectively and efficiently operates during a crisis. The authors performed keyword co-occurrence network (KCON) analysis and research focus parallelship network (RFPN) analysis using BibExcel and Gephi to determine the major resulting research streams in freight transport.

Findings

The RFPN identified five emerging themes: transport operations, technological innovation, transport economics, transport policy and resilience and disaster management. Optimisation and simulation techniques, and more recently, artificial intelligence and machine learning (ML) approaches, have been used to model and solve freight transport problems. Automation innovations have also penetrated freight and supply chains. Information and communication technology (ICT)-based innovations have also been found to be effective in building resilient supply chains.

Research limitations/implications

Given the growth of e-commerce during COVID-19 and the resulting logistics demand, along with the need for transporting food and medical emergency products, the role of automation, optimisation, monitoring systems and risk management in the transport industry has become more salient. Transport companies need to improve their operational efficiency using innovative technologies and data science for informed decision-making.

Originality/value

This paper advises researchers and practitioners involved in freight transport and innovation about main directions and gaps in the field through an integrated approach for evaluating research undertaken in the area. This paper also highlights the role of crisis, e.g. COVID-19, and its impacts on freight transport. Major contributions of this paper are as follows: (1) a qualitative and quantitative, systematic and effective assessment of the literature on freight transport through a network analysis of keywords supplemented by a review of the text of 148 papers; (2) unravelling major research areas; (3) identifying innovations in freight transport and their classification as technological and non-technological and (4) investigating the impact of crises and disruptions in freight transport.

Details

The International Journal of Logistics Management, vol. 33 no. 4
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 9 February 2022

Rajinder Bhandal, Royston Meriton, Richard Edward Kavanagh and Anthony Brown

The application of digital twins to optimise operations and supply chain management functions is a bourgeoning practice. Scholars have attempted to keep pace with this…

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Abstract

Purpose

The application of digital twins to optimise operations and supply chain management functions is a bourgeoning practice. Scholars have attempted to keep pace with this development initiating a fast-evolving research agenda. The purpose of this paper is to take stock of the emerging research stream identifying trends and capture the value potential of digital twins to the field of operations and supply chain management.

Design/methodology/approach

In this work we employ a bibliometric literature review supported by bibliographic coupling and keyword co-occurrence network analysis to examine current trends in the research field regarding the value-added potential of digital twin in operations and supply chain management.

Findings

The main findings of this work are the identification of four value clusters and one enabler cluster. Value clusters are comprised of articles that describe how the application of digital twin can enhance supply chain activities at the level of business processes as well as the level of supply chain capabilities. Value clusters of production flow management and product development operate at the business processes level and are maturing communities. The supply chain resilience and risk management value cluster operates at the capability level, it is just emerging, and is positioned at the periphery of the main network.

Originality/value

This is the first study that attempts to conceptualise digital twin as a dynamic capability and employs bibliometric and network analysis on the research stream of digital twin in operations and supply chain management to capture evolutionary trends, literature communities and value-creation dynamics in a digital-twin-enabled supply chain.

1 – 10 of 360