Cross-citation and authorship analysis of hotel performance studies

Sainaghi, Ruggero; Phillips, Paul A.; Baggio, Rodolfo; Mauri, Arnaldo

doi:10.1016/j.ijhm.2018.02.004

Cited by 30 publications

(19 citation statements)

References 66 publications

(74 reference statements)

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“…In another phase, through the VOSviewer [85,86], analysis by co-authors at the level of affiliation with country/region, affiliation with institutions and affiliation with other authors will take place. As well as thematic study, high-use 'keywords plus' (KWP, keywords corrected by WoS) according to Zipf's Law [87,88], common bibliographic references with bibliographic coupling [89] and classic authors on stress research, have also been used as references on technostress research.…”

Section: Methodsmentioning

confidence: 99%

Technostress Dark Side of Technology in the Workplace: A Scientometric Analysis

Bondanini

Giorgi

Ariza-Montes

et al. 2020

IJERPH

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This article aims to provide a critical review of the scientific research on technostress. As such, global references in this field are identified and highlighted in order to manage pre-existing knowledge and establish future ‘bridges’ among researchers, and to enhance the presently dispersed understanding of this subject. A scientometric meta-analysis of publications on technostress was conducted to achieve this objective. Mainstream journals from the Web of Science (WoS) were used to identify current topics, relevant journals, prolific authors, institutions, and countries, ‘schools of thought’ and the thematic areas around which current technostress debate revolves. In this article a significant contribution comes from the use of the scientific activity itself, together with scientometric meta-analysis techniques and the application of this scientific activity, its impact and relational character, to discover relevant countries, research organizations and authors which can constitute a global reference to demarcate this knowledge frontier, and who lead the ‘critical mass’ of global technostress researchers. This study also distinguishes between the relevant themes studied, with co-keywords plus bibliographic coupling citation, and examines the kind of stress the most prolific authors have considered and, therefore, to discover those topics which should be studied further to deepen this research field, in search of a post-disciplinary knowledge that allows unity of focus in technology and psychology.

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Section: Methodsmentioning

confidence: 99%

Technostress Dark Side of Technology in the Workplace: A Scientometric Analysis

Bondanini

Giorgi

Ariza-Montes

et al. 2020

IJERPH

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show abstract

“…The second variable is the databases employed to select journals and papers. Usually, bibliometric studies are based on Scopus (Dredge and Jamal, 2015;Prayag and Ozanne, 2018;Sainaghi et al, 2018aSainaghi et al, , 2019b and/or Web of Science (de la Hoz-Correa et al, 2018;Vargas-S anchez, 2018). The majority of reviews and conceptual articles published on the tourism sharing economy, as identified in Prayag and Ozanne (2018), do not define their sources (Andriotis and Agiomirgianakis, 2014;Dredge and Gyim othy, 2015;Guttentag, 2015;Bashir and Verma, 2016;Forgacs and Dimanche, 2016;Heo, 2016).…”

Section: Selection Of Papersmentioning

confidence: 99%

Determinants of price and revenue for peer-to-peer hosts. The state of the art

Sainaghi

2020

IJCHM

Self Cite

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Purpose This paper aims to explore two research questions. The first focuses on the main methodological characteristics of previous studies in the field of price and revenue research in terms of commercial peer-to-peer accommodation platforms (P2P APs). The second compares the 33 articles and identifies the convergent and divergent findings. The literature review outlines some future research avenues. Design/methodology/approach This paper is a literature review that explore the price and revenue determinants in the field of P2P APs (such as Airbnb). The methodology shows how the sample was defined and is based on three steps: selection of papers, sample selection, and coding. The research was carried out in March 2020 and generated an initial sample composed of roughly 3,000 articles. A two-stage inclusion/exclusion process was applied to select the final sample, which includes 33 articles. Findings The empirical findings report the main antecedents of price and revenue as well as the methodological domains of the analyzed papers. Focusing on determinants, six blocks of variables were identified. The listing variables (48%), host characteristics (18%), location (12%), guest review (11%), destination characteristics (11%) and external comparison (1%). For each block, convergent and divergent findings are illustrated. Research limitations/implications The main limitations of this study relate to the criteria used in selecting the sample and the manual coding activity. This last decision (manual coding activity) was based on the limited number of papers available and the wide spectrum of variables used. Practical implications The practical implications are many, and they include a greater awareness of the variables that influence price and revenue as well as the impact that these variables could have on rates. Furthermore, managers interested in analyzing specific topics or variables can find analytical support in the information reported in the appendices. Originality/value The evidence provided is useful both for scholars considering further research in this field and for practitioners seeking to define pricing policies. Some future research avenues have been outlined, including new topics for development and methodological advancements.

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“…Co-citation networks of the references are visualized in Figure 7 (created with the VOSviewer). Co-citation network is a good visual representation to understand interconnections of references (Sainaghi, Phillips, Baggio, & Mauri, 2018). Co-citation network is used to investigate the intellectual structure of a research field (Leung, Sun, & Bai, 2017;Rauchfleisch, 2017).…”

Section: Citation Analysis and Co-citation Networkmentioning

confidence: 99%

The Rise of Big Data in Communication Sciences: A Bibliometric Mapping of the Literature

Karaboğa¹,

Şehitoğlu²

2020

CONNECTIST

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Today's digital world is characterized by advances in communication and information technologies. Internet technology provides a variety of communication channels like social media platforms, social network sites, search engines, blogs, forums, websites and e-mails. The users of these channels create digital traces which are the main source of big data in communication studies in social sciences. Big social data analytics in communication studies provides quantitative indicators to fully understand current situations rather than predefined cause and effect relationships. This study aims to investigate the studies in "big data and communication" in social sciences between the years 2014 and 2018. Web of Science Social Science Citation Index journals are selected to present systematic and quantitative analysis of the research field. Bibliometric analysis results provide insights about big data usage and expansion in the communication field not previously grasped by other reviews on this special topic. Bibliometric tools helped to identify research clusters, key research topics, and network and collaboration patterns in big data and communication studies in a social sciences context. This bibliometric mapping of the field visually illustrates the evolution of studies over time and identifies current research interests and future directions for the followers.

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Cross-citation and authorship analysis of hotel performance studies

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

Cited by 30 publications

References 66 publications

Technostress Dark Side of Technology in the Workplace: A Scientometric Analysis

Technostress Dark Side of Technology in the Workplace: A Scientometric Analysis

Determinants of price and revenue for peer-to-peer hosts. The state of the art

The Rise of Big Data in Communication Sciences: A Bibliometric Mapping of the Literature

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