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This chapter discusses the empirical application of a class of strategic network formation models, using the approach to identification introduced by de Paula, Richards-Shubik, and Tamer (2018). The author emphasizes the interplay between model specification and computational complexity, and suggests tactics to make empirically realistic models become tractable. Two detailed examples, on friendship networks and coauthorship networks, are used to illustrate these issues and to demonstrate the performance of the approach with both simulation and empirical evidence. Also, the author presents extensions to the estimation method, which expand the potential range of applications, and which provide statistical inference with minimal computational burden.

This paper presents a comprehensive study using bibliometric and social network analysis (SNA) to depict the academic community, research hotspots and the correlation between research performance and social network measurements within Library Hi Tech.

Publications from Library Hi Tech between 2010 and 2022 are reviewed and analysed through coauthorship analysis, co-occurrence analysis, SNA and the Spearman rank correlation test.

The annual number of publications in Library Hi Tech increased from 2016 to 2022, indicating that this research has gradually gained global attention. The USA and China are the most significant contributors to the relevant publications. Scholars in this field mainly engage in small-scale cooperation. Academic libraries, digital libraries, libraries, information technology and COVID-19 were hot topics during the study period. In light of the COVID-19 pandemic, there was a marked increase in research on healthcare. Academic interest in the internet of Things and social media has proliferated recently and may soon attract more attention. Spearman rank correlation analysis shows that research performance (i.e. publication count and citation count) is significantly and positively correlated with social network measurements (i.e. degree centrality, betweenness centrality, closeness centrality and eigenvector centrality) in studies of Library Hi Tech.

This paper reveals a systematic picture of the research landscape of Library Hi Tech and provides a potential guide for future research. The relationship between scientific research performance and social network measurements can be objectively identified based on statistical knowledge.

The environment in high-tech industries is highly dynamic, and after COVID-19, it has become even more unpredictable. Hence, it has become critical for firms to develop strategies to cope with a highly dynamic environment. This paper aims to analyze how the impact of the scientific collaboration networks with URIs (universities and research institutes) on firm innovation performance is contingent on technological and market dynamics.

Using a sample of 174 Chinese firms in the new-energy vehicle industry during 2004–2015, the authors applied a random-effects negative binomial modeling approach to model these relationships.

A broad and strong scientific collaboration network promotes firm innovation network effects are contingent on technological and market dynamics. While technological dynamics strengthen the effect market dynamics weaken it due to the different purposes of collaboration for firms and URIs.

Firms should adjust the structure of scientific collaboration networks with URIs when facing different environments. The government should encourage firms to jointly research with diverse URIs and play an active role in stabilizing market environments.

This study contributes to the academic debate on university-industry scientific collaborations. Applying the temporary competitive advantage (TCA) framework, we provide nuances to the literature that studies the factors that condition the effects of networks. This study also adds to the research on firm scientific collaboration networks by measuring networks based on the coauthorship between firms and URIs.

Journal of Corporate Real Estate (JCRE) is an international journal of repute. JCRE is an interdisciplinary journal focusing on corporate real estate management and caters to the needs of real estate owners and end-users. The journal's scope includes private and public sector corporate real estate owned and used by businesses to run their operations. This paper aims to analyze the journal's impact using bibliometric analysis from 1998 to 2017 on 380 publications.

The network analysis is performed using VOSviewer software and Biblioshiny R studio. The mapping presents citation structures, coauthorship patterns, bibliographic coupling and other network analyses.

The results show that the journal is growing in terms of citations and impact. The findings document various mapping criteria and their summaries. Seven major clusters are identified to delineate the underlying themes of publications in JCRE.

To the best of the authors’ knowledge, this paper offers the original and first bibliometric analysis of the journal’s impact over the first two decades. The findings are relevant for researchers and real estate stakeholders.

Option pricing theory enables computation of the price of an option using different variables associated with the underlying security and options contract. The purpose of this study is to assess research trends that emerged in the field of option pricing. This study reviews existing literature of the option pricing domain, both qualitatively and quantitatively, and identifies potential themes for future research.

This study adopts bibliometric analysis method to explore literature published in the option pricing domain. As part of bibliometric analysis, this study considers both descriptive and network analysis to assess publication trends. For descriptive analysis, the “bibliometrix” package proposed by Aria and Cuccurullo (2017) is used and for network analysis, VOS viewer (Van Eck and Waltman, 2017) and Gephi (Bastian et al., 2009) are used.

This study identifies research trends, top researchers, articles, journals and contributions from institutions and countries in the option pricing domain. It identifies four clusters that show different directions and also focuses on past studies on the same subject. It explores research gaps by performing an in-depth analysis of existing literature on option pricing and suggests the way forward for research in this area.

To the best of the authors’ knowledge, no previous studies have attempted to analyze the literature published in the option pricing domain. This study fulfils this research gap by conducting a comprehensive analysis of studies in the option pricing area. This study identifies quality research work published in the domain, research trends, contribution by most relevant researchers, contributions across geographies and institutions and the connections among these aspects. This study also identifies important themes and provides directions for future research.

This study aims to examine the research output on digital divide from 2001 to 2020 and measure the qualitative and quantitative growth of literature during the stated period by using required bibliometric measures for identifying the types of documents, yearly growth, country productivity, citation network of collaborative countries, authorship pattern, top authors, cocitation networks and assorted facets.

Web of Science database was used to retrieve the required data for this study. Keeping the objectives of this study in mind, the keyword “Digital Divide” was used as the search term. Moreover, the retrieved data were limited from the year 2001 to 2020 for two decades. A total of 5,518 publications were filtered and focused for subsequent facet-wise analysis and interpretation. Required bibliometric indicators like types of documents, yearly growth, authorship pattern, degree of collaboration (DC), country productivity, h-index and citation impact were used to study various dimensions of publication trends. VOSviewer software was used to visualize the authorship network, bibliographic coupling and keyword occurrences.

This study finds a total of 5,518 publications on the topic digital divide contributed by 14,277 authors from 130 countries across the world published through 2,843 source titles in 13 global languages during the past two decades (2001–2020). The annual growth of publications (AGP) on the topic digital divide shows 38.43% AGP globally. Journal articles have been identified as the preferred type of document with 73.11% of the literature. The DC indicates a healthy trend of collaborative research with a mean value of 0.70. The USA is the table topper with the contribution of 1,933(35.03%) publications and 77 h-index and James J., from Tilburg University, The Netherlands, is identified as top amongst the most productive authors with the highest number of 34 publications (h-index 14).

This study restricts its scope on research productivity to the theme “digital divide” regarding authorship pattern, DC, most productive authors, most productive countries, most published sources and other key facets. This study exclusively refers to the Web of Science database in retrieving the required data. Moreover, this study takes global research into account with no geographical or language limitations and comprehends literature on digital divide for two decades ranging from the years 2001 to 2020.

Teachers and research scholars interested in bibliometric studies can benefit from insights into the scholarly documents published on the topic digital divide from 2001 to 2020.

This study yields some interesting findings on published literature on the digital divide during the past two decades relating to the most striking contributions, highly cited journals, the most prolific authors, country productivity, keyword cooccurrence and assorted parameters.

The scientific literature has played an important role in the dissemination of new knowledge throughout the past century. However, the increasing numbers of scientific articles being published in recent years has intensified the perception of information overload for users attempting to find relevant scientific information. The purpose of this paper is to describe a task‐focused strategy that employs the task profiles of users to make recommendations in a digital library.

This paper combines information retrieval, common citation analysis, and coauthor relationship analysis techniques with a citation network analysis technique – the CiteRank algorithm – to find relevant and high‐quality articles. In total, nine variations of the proposed approach were tested using articles downloaded from the CiteSeerX system and usage logs collected from the authors' experimental server.

The results from the authors' experimental evaluations demonstrate that the proposed Content‐citation approach outperforms the Relevance‐CiteRank, Relevance‐citation count, and Relevance‐only approaches.

This paper describes an original study that has produced a novel way to combine information retrieval, common citation analysis, and coauthor relationship analysis techniques to find relevant and high‐quality articles for recommendation in a digital library.

This study aims to identify the intellectual structures, current hotspots and research directions on rural tourism experience (RTE)–related fields from 1996 to 2021.

The authors collected 589 journal articles and reviews from the Web of Science Core Collection and Scopus database and analyzed them through VOSviewer and CiteSpace.

The results indicate a trend of gradual increase in RTE research, covering three main research themes. The most productive countries and institutions with RTE-related publications are mostly members of the European Union. However, the Asia-Pacific region is growing in RTE research and establishing influence. The author collaboration network and influential journals show the importance of the Malaysian authors and top travel journals. The discipline structure, critical articles and high-frequency keywords reflect the research hotspots and trends of RTE.

This study systematically reviews the RTE-related publications over the past 26 years. Accordingly, it can assist scholars gain a more comprehensive understanding of RTE research and acquire future research directions.

本研究的目的是确定 1996 年至 2021 年乡村旅游体验（RTE）相关领域的知识结构、当前热点和研究方向。

从 Web of Science (WOS) 核心合集和 Scopus 数据库中收集了总共 589 篇期刊文章和评论, 并通过 VOSviewer 和 CiteSpace 进行了分析。

结果显示 RTE 研究呈现逐渐增加的趋势, 涵盖三个主要研究主题。 RTE相关出版物最具生产力的国家和机构大多来自欧盟国家。然而, 亚太地区的 RTE 研究正在不断增长, 并建立了影响力。作者合作网络和有影响力的期刊显示了马来西亚作者和顶级旅游期刊的重要性。学科结构、重要文章和高频关键词都反映了RTE的研究热点和趋势。

本文系统回顾了过去 26 年来与 RTE 相关的出版物。从而有助于学者们对RTE研究有更全面的了解, 并获得未来的研究方向。

este estudio tiene como objetivo identificar las estructuras intelectuales, los hotspots actuales y las direcciones de investigación en los campos relacionados con la experiencia en turismo rural (RTE) de 1996 a 2021.

se recogieron 589 artículos y reseñas de revistas de la colección Web of Science (WOS) y la base de datos Scopus yse analizaron a través de VOSviewer y CiteSpace.

los resultados indican una tendencia de aumento gradual en la investigación de la RTE, que abarca tres temas principales de investigación. Los países e instituciones más productivos con publicaciones relacionadas con RTE son en su mayoría miembros de la Unión europea (UE). Sin embargo, la región Asia-Pacífico está creciendo en investigación RTE y estableciendo influencia. La red de colaboración de autores y las revistas influyentes muestran la importancia de los autores malasios y las principales revistas de viajes. La estructura de la disciplina, los artículos críticos y las palabras clave de alta frecuencia reflejan los hotspots de investigación y las tendencias de RTE.

este estudio revisa sistemáticamente las publicaciones relacionadas con RTE en los últimos 26 años. En consecuencia, puede ayudar a los académicos a obtener una comprensión más amplia de la investigación RTE y adquirir futuras direcciones de investigación.

This study aims to analyzed the development of open innovation research knowledge and its application in the tourism sector during the past 17 years, with the aim of understanding the scientific activity and impact of existing research. In addition, this research identifies trending thematic lines and provides recommendations for future research on this topic.

A bibliometric analysis was carried out from the Scopus database, in which 110 studies related to open innovation in tourism were identified. The analysis of the papers was done with the Bibliometrix and Vosviewer tools.

The results show that there is a recent and growing interest among academics, especially since 2017. Moreover, four main lines of work were identified: overtourism and sustainability, value cocreation, open innovation and competitive advantage and its impact on organizations belonging to the hotel sector and the relationship between external knowledge and internal sources in innovation management and open innovation performance.

The relationship with other stakeholders involved in the customer experience value creation in the tourism sector depends to a large extent on the joint offer that hotels, restaurants, tour operators and tourist offices, can provide in a tourist destination. Therefore, having external sources to innovate from will improve their innovative and organizational performance. However, there are no bibliometric analyses on the application of the open innovation paradigm in this sector. Thus, this research contributes to fill this gap, as well as to identify the most recurrent themes that show how open innovation is developing in tourism, providing academics and researchers with guidelines for future research.