Search results

The purpose of this study is to identify research perspectives/clusters in the field of urban tourism (city tourism) in narrow sense and tourism cities (cities and tourism) in the broader sense to examine the complex relationship through the optics of science mapping. This paper believes that the existing qualitative assessments of this field can be experimentally verified and visualized.

First, the key conceptual dilemmas of research perspectives in urban tourism are highlighted. Based on the Web of Science (WOS) Core Collection and the VOSviewer (computer program for visualizing bibliometric networks), the data will be analyzed. Clustering is used to evaluate information retrieval (inclusivity or selectivity of the search query), publication patterns (journal articles), author keywords, terminology and to identify the respective cities and author collaborations between countries.

Terminological specificities and their contextuality (authors’ preferences) are elaborated, as the topic is studied by authors from different disciplinary fields. Compared to other specific tourisms, urban tourism includes geographic terms (variations of city names) and terms with different connotations (travelers, visitors). Recent Spanish (also Portuguese) linguistic/geographic contexts are noticeable and a strong presence of WOS Emerging Sources Citation Index papers. Research perspectives are represented in the network of clusters of connected terms. If the search is based on a narrower sense of strict urban tourism, then tourism-business topics predominate. If tourism and cities are less closely linked, socio-cultural and environmental-spatial perspectives emerge, as does tourism/cities vulnerability (climate change and health issues).

The construction of a search syntax for the purpose of retrieval is always marked by compromises, given different terminological usages. A narrow search query will miss many relevant documents. On the other hand, if the query is too general, it returns less relevant documents. To this end, this paper tested queries on three different levels of inclusivity or selectivity. More consistent use of terms would benefit authors in the field of urban tourism when searching for references (information retrieval) and, as a consequence, would allow better integration of the field.

This study provides a practical method for evaluating cities and tourism in combining the expertise of an information scientist and a sociologist. It points out numerous caveats in information retrieval. It offers an overview of publishing just prior to the outbreak of Covid-19, thus providing an opportunity for further comparative studies.

This study is the first to examine urban tourism using such a method and can serve as a complement to the existing systematization of qualitative approaches. The findings are consistent with numerous qualitative assessments of weak the research interconnection between the specifics of cities and tourism in terms of broader socio-spatial processes. However, the study suggests that such research linkage is increasing, which is noticeable in relation to issues of social sustainability (e.g. overtourism, Airbnb and touristification).

The paper aims to assess the utility of non‐agriculture‐specific information systems, databases, and respective controlled vocabularies (thesauri) in organising and retrieving agricultural information. The purpose is to identify thesaurus‐linked tree structures, controlled subject headings/terms (heading words, descriptors), and principal database‐dependent characteristics and assess how controlled terms improve retrieval results (recall) in relation to free‐text/uncontrolled terms in abstracts and document titles.

Several different hosts (interfaces, platforms, portals) and databases were used: CSA Illumina (ERIC, LISA), Ebscohost (Academic Search Complete, Medline, Political Science Complete), Ei‐Engineering Village (Compendex, Inspec), OVID (PsycINFO), ProQuest (ABI/Inform Global). The search‐terms agriculture and agricultural and truncated word‐stem agricultur‐ were employed. Permuted (rotated index) search fields were used to retrieve terms from thesauri. Subject‐heading search was assessed in relation to free‐text search, based on abstracts and document titles.

All thesauri contain agriculture‐based headings; however, associative, hierarchical and synonymous relationships show important inter‐database differences. Using subject headings along with abstracts and titles in search syntax (query) sometimes improves retrieval by up to 60 per cent. Retrieval depends on search fields and database‐specifics, such as autostemming (lemmatization), explode function, word‐indexing, or phrase‐indexing.

Inter‐database and host comparison, on consistent principles, can be limited because of some particular host‐ and database‐specifics.

End‐users may exploit databases more competently and thus achieve better retrieval results in searching for agriculture‐related information.

The function of as many as ten databases in different disciplines in providing information relevant to subject matter that is not a topical focus of databases is assessed.

The article seeks to address a methodological procedure based on keyword analysis and the structuring of data into information systems in the field of functional foods, a newly‐emerging scientific field within the broader scope of food sciences and technology.

An experiment was undertaken by selection of a research field or research subject, selection of search profile, selection and processing of relevant databases, keyword analysis, and the arrangement of data (keywords) according to tree‐structures. Keyword analysis was employed to identify narrower research fields within the broader scientific field. The structuring of data into systems was used to classify the terms within the particular narrow field. Keywords with higher and lower frequency were identified. A classification tree was set up, based on keywords (thesaurus‐based descriptors) extracted from the FSTA (Food Science and Technology Abstracts) database available online. The tree was supplemented and upgraded with some additional topical terms that have not as yet been included in the existing thesaurus. To serve as a comparison a completely new classification tree was designed, based on online full‐text data.

Comparison of the two trees suggests that the previous existing tree is sufficiently accurate in representing the field of functional foods, provided that it is upgraded with some additional terms. A more accurate classification should improve thesauri and consequently enhance retrieval in international databases.

Presents a methodology of database analysis which may serve to improve database patterns, especially with regard to information retrieval.

This study analyzes, from the perspective of social exchange theory, the influence of empowering leadership on contextual performance mediated by perceived organizational support (POS) and affective organizational commitment (AOC).

A survey was carried out with 182 employees of the Best Companies to Work in Brazil. Data analysis was performed by structural equation modeling (SEM) and by fuzzy set qualitative comparative analysis (fsQCA).

Results demonstrate that empowering leadership directly influences higher contextual performance and indirectly through the mediation of AOC, but not through POS. Serial mediation confirms that the model's variables self-promote each other to ultimately foster higher performance. Furthermore, all solutions to obtain high contextual performance include empowering leadership in the dimension of trust in the high performance of employees.

The statistical support for the serial mediation indicates that empowering leadership promotes POS, which influences AOC that finally promotes the employee's contextual performance. However, this study's model does not include employees' task performance; our results add to the contextual performance literature.

The study highlights the role of the empowering leadership style in the organizational context, an aspect that deserves attention from the managers and organizations due to its effect on employee performance.

The study adds a new framework to the literature, which can be used by organizations to promote contextual performance. The variables, which include contextual and individual factors, foster the employee's contextual performance in a joint and self-promoting way. Contextual performance exceeds the manager's technical attributions; it covers psychological and discretionary behaviors.

Digital literacy is not the mere ability to use a digital device or know to use various software. It is a domain of exploration for sociology, psychology, education and, of course, technology. This study aims to present a quantitative analysis of the literature on digital literacy using a bibliometric approach.

Using data from the Web of Science database, the importance of the research is evaluated by reviewing 2307 publications and examining the yearly publication, field category productivity, citation structure, most cited resources, documents, most-cited authors, most productive authors, and country in the field of digital literacy. Further, a cluster analysis is conducted to see the most recurrent keywords and emerging trends in this field. At last, the authors analyzed the thematic progression of keywords over these five years based on the normalized citations. Additionally, a graphical representation of the bibliometric data using VOSviewer is presented in the paper.

The results suggest a steady rate of publication in this field, with most of the research published in education and library fields and the USA leading the country in this realm. The emerging themes in this field are ‘Fake News’, ‘Competence’, ‘Educational Technology’, ‘Health Literacy’, ‘Self-Efficacy’ and, interestingly, ‘COVID-19’. The results also revealed that COVID-19 has been examined and associated with fake news, higher education, social media and information literacy.

This paper provides an overall summary of the most recent research work published from 2017 to 2021 on digital literacy in the backdrop of COVID-19. The study presents the thematic progression over the years and particularly the new keywords that emerged in the limelight of the pandemic. It contributes by updating the existing body of knowledge in the field of digital literacy and presents preliminary results related to COVID-19.