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

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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. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

Keywords

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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

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.

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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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4269

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

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Article
Publication date: 6 March 2020

Pavitra Dhamija and Surajit Bag

“Technological intelligence” is the capacity to appreciate and adapt technological advancements, and “artificial intelligence” is the key to achieve persuasive operational…

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2790

Abstract

Purpose

“Technological intelligence” is the capacity to appreciate and adapt technological advancements, and “artificial intelligence” is the key to achieve persuasive operational transformations in majority of contemporary organizational set-ups. Implicitly, artificial intelligence (the philosophies of machines to think, behave and perform either same or similar to humans) has knocked the doors of business organizations as an imperative activity. Artificial intelligence, as a discipline, initiated by scientist John McCarthy and formally publicized at Dartmouth Conference in 1956, now occupies a central stage for many organizations. Implementation of artificial intelligence provides competitive edge to an organization with a definite augmentation in its social and corporate status. Mere application of a concept will not furnish real output until and unless its performance is reviewed systematically. Technological changes are dynamic and advancing at a rapid rate. Subsequently, it becomes highly crucial to understand that where have the people reached with respect to artificial intelligence research. The present article aims to review significant work by eminent researchers towards artificial intelligence in the form of top contributing universities, authors, keywords, funding sources, journals and citation statistics.

Design/methodology/approach

As rightly remarked by past researchers that reviewing is learning from experience, research team has reviewed (by applying systematic literature review through bibliometric analysis) the concept of artificial intelligence in this article. A sum of 1,854 articles extracted from Scopus database for the year 2018–2019 (31st of May) with selected keywords (artificial intelligence, genetic algorithms, agent-based systems, expert systems, big data analytics and operations management) along with certain filters (subject–business, management and accounting; language-English; document–article, article in press, review articles and source-journals).

Findings

Results obtained from cluster analysis focus on predominant themes for present as well as future researchers in the area of artificial intelligence. Emerged clusters include Cluster 1: Artificial Intelligence and Optimization; Cluster 2: Industrial Engineering/Research and Automation; Cluster 3: Operational Performance and Machine Learning; Cluster 4: Sustainable Supply Chains and Sustainable Development; Cluster 5: Technology Adoption and Green Supply Chain Management and Cluster 6: Internet of Things and Reverse Logistics.

Originality/value

The result of review of selected studies is in itself a unique contribution and a food for thought for operations managers and policy makers.

Details

The TQM Journal, vol. 32 no. 4
Type: Research Article
ISSN: 1754-2731

Keywords

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Article
Publication date: 28 June 2018

Monika Sheoran, Divesh Kumar, Vinod Kumar and Deepak Verma

The purpose of this paper is to understand the scholarly contributions to the field of marketing by analyzing top ten journals of marketing.

Abstract

Purpose

The purpose of this paper is to understand the scholarly contributions to the field of marketing by analyzing top ten journals of marketing.

Design/methodology/approach

The marketing journals were selected using SciMago marketing journal list, and SCOPUS database was used to identify the publications of the journals. A total of 9,190 articles were analyzed having 562,322 citation references. Methodologies like Wordle and Gephi were used to understand the most researched keywords and co-citation analysis among top five researchers. This paper also captured the information on most cited article along with author, most published author, most publishing country, most publishing university, the year with maximum publications and most used keywords.

Findings

The analysis indicates that “Kumar, V.” is most published author, that is, 68 publications, the most cited article is “On the evaluation of structural equation models” by Bagozzi and Yi (1988) with 6989 citations. The USA contributed the highest 6,720 publications, while University of Pennsylvania, Wharton School topped the list with 235 articles. In 2009, highest publication work was done by publishing 382 articles. “Game theory”, “Pricing” and “Advertising” are most used keywords which have been discussed in the literature.

Research limitations/implications

This analysis will help researchers in understanding the growth in the field of the marketing in recent years and possible direction it could take in future. However, this paper considered only top ten marketing journals as listed in SciMago marketing journal list; therefore, future researchers may incorporate more research journals to get a clearer picture of the field of marketing.

Originality/value

This paper is one of the first attempts in recent time to understand the research work in the field of marketing considering top ten journals.

Details

The Bottom Line, vol. 31 no. 3/4
Type: Research Article
ISSN: 0888-045X

Keywords

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Article
Publication date: 6 June 2016

Sepideh Solhi and Emadeddin Rahmanian Koshkaki

The purpose of this paper is to explore the influence of social and business context of developing counties (in this paper Iran) on developing, forming and exhibiting…

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629

Abstract

Purpose

The purpose of this paper is to explore the influence of social and business context of developing counties (in this paper Iran) on developing, forming and exhibiting entrepreneurial innovative behaviour leading to entrepreneurship. The developed model illustrates the most important factors in forming such behaviour.

Design/methodology/approach

In this paper, networked grounded theory was used to develop a path model for entrepreneurial innovative behaviour antecedents based on Iranian entrepreneurial context.

Findings

This paper shows that in Iranian entrepreneurship context, innovation is sensitive to local conditions and levels of technological capabilities. Also, Iran’s situation brings another aspect of innovation in mind, innovative behaviour of individuals in forms of entrepreneurships to compensate the lack of technology in the firms.

Research limitations/implications

Due to the research approach and the quality of grounded theory, data gathering tool and sampling process, the generalizability of this paper is limited or may be context oriented; the results of this research must be interpreted within its limitation and scope.

Originality/value

This paper is the first study trying to develop a model on entrepreneurial innovative behaviour in Iran which develops a model based on the realities of Iran rather than model based on developed countries with different basis and context.

Details

Journal of Entrepreneurship in Emerging Economies, vol. 8 no. 2
Type: Research Article
ISSN: 2053-4604

Keywords

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Article
Publication date: 13 May 2019

Abbie-Gayle Johnson and Ioanna Samakovlis

The purpose of this paper is to examine the production of smart tourism knowledge, thereby revealing the development of the concept through collaborative networks.

Abstract

Purpose

The purpose of this paper is to examine the production of smart tourism knowledge, thereby revealing the development of the concept through collaborative networks.

Design/methodology/approach

A bibliometric analysis, which enables visual mapping and observation of the domain, was conducted using journal articles retrieved during the period of 2000 to 2018.

Findings

The understanding of smart tourism is shaped and enhanced through collaborative network of researchers. As the domain develops, its reach expands across different networks as well as core themes.

Research limitations/implications

Data for the study was generated from English-written journal articles that were produced from a database search of specific keywords associated with smart tourism.

Practical implications

Findings can prove useful to academic researchers and industry practitioners to aid their understanding of smart tourism research development, identify the underlying context and aid in coherent development of the concept.

Originality/value

The paper is one of the first articles to provide a greater understanding of smart tourism as a research topic by examining its evolution in an academic context through bibliometric analysis.

研究目的

本论文对智慧旅游相关知识进行审阅, 并通过协作网络对其概念发展进行梳理。

研究设计/方法/途径

本论文采用Gephi文献计量分析方法, 对其相关领域的发展进行视觉化处理, 构建出发展图。研究样本为2000年至2018年发表的期刊文章, 通过在线搜索数据库获得。

研究结果

通过研究者之间的协作网络, 本论文研究结果对智慧旅游的认识清晰形成并且更加深刻。自智慧旅游领域发展以来, 其发展扩展到不同网络以及多个核心主题。

研究理论限制/意义

研究样本只局限于数据库中的英文期刊文章, 以及采用有限的智慧旅游的关键词搜索。

研究实践意义

研究结果对学术学者和业界人士有着深刻效用, 以帮助他们对智慧旅游研究发展构筑清晰理解, 找到其研究背景以及概念发展的核心过程。

Details

Journal of Hospitality and Tourism Technology, vol. 10 no. 4
Type: Research Article
ISSN: 1757-9880

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Article
Publication date: 5 June 2017

Samuel Fosso Wamba and Deepa Mishra

The purpose of this paper is to improve the understanding of the integration of business process management (BPM), business process re-engineering (BPR) and business…

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3035

Abstract

Purpose

The purpose of this paper is to improve the understanding of the integration of business process management (BPM), business process re-engineering (BPR) and business process innovation (BPI) with big data. It focusses on synthesizing research published in the period 2006-2016 to establish both what the authors know and do not know about this topic, identifying areas for future research.

Design/methodology/approach

The research is based on a review of 49 published papers on big data, BPM, BPR and BPI in the top journals in the field 2006-2016.

Findings

In this paper, the authors have identified the most influential works based on citations and PageRank methods. Through network analysis the authors identify four major clusters that provide potential opportunities for future investigation.

Practical implications

It is important for practitioners to be aware of the benefits of big data, BPM, BPR and BPI integration. This paper provides valuable insights for practitioners.

Originality/value

This paper is based on a comprehensive literature review, which gives big data researchers the opportunity to understand business processes in depth. In addition, highlighting many gaps in the current literature and developing an agenda for future research, will save time and effort for readers looking to research topics within big data and business processes.

Details

Business Process Management Journal, vol. 23 no. 3
Type: Research Article
ISSN: 1463-7154

Keywords

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