Search results

The purpose of this study is to apply altmetrics and bibliometric indicators on the top 100 most mentioned articles published related to the sustainable development goal (SDG)-13, Climate Action.

The authors used the Altmetric Explorer’s SDGs filter to extract the most mentioned articles belonging to Climate Action and their other characteristics, such as DOI, titles, tools mentioning them and their demographic descriptions. The same set of papers was searched in the Dimensions database to extract them in the format importable in R-studio to check the distribution of papers across various journals and identify their subject category, countries and institutions publishing these papers. Further, SPSS was used to check the correlation between altmetric attention score (AAS) and citations.

The results of the paper showed the mean of AAS and the citations received by the articles was 3,556.35 and 304.04, respectively. Twitter has been the most used social media platform for mentioning the research related to climate action, covering 88.1% of the total mentions. The Twitter and the News mention demographics show the USA contributing the most tweet mentions (15.2%) as well as news mentions (57.65%) to the papers. Also, the USA has solely published 49 papers from the total papers selected for the study. The papers were published in 31 journals most of them belonging to the quartile first (Q1) category and primarily belonged to the subject category “Earth Sciences.” Pearson’s correlational method showed a significant but low positive correlation between AAS and citation counts (r = 0.365, p = <0.001) and a strong positive correlation between the citations and Mendeley readership counts (r = 0.907).

The research is original in nature and discovered very interesting results about climate action using altmetric and bibliometric techniques.

Social mediametrics is a subfield of measurement in which the emphasis is placed on social media data. This paper analyzes the trends and patterns of paper comprehensively mentions on Twitter, with a particular focus on Twitter's mention behaviors. It uncovers the dissemination patterns and impact of academic literature on social media. The research has significant theoretical and practical implications.

This paper explores the fundamental attributes of Twitter mentions by means of analyzing 9,476 pieces of scholarly literature (5,097 from Nature and 4,379 from Science), 1,474,898 tweets and 451,567 user information collected from Altmetric.com database and Twitter API. The study uncovers assorted Twitter mention characteristics, mention behavior patterns and data accumulation patterns.

The findings illustrate that the top academic journals on Twitter have a wider range of coverage and display similar distribution patterns to other academic communication platforms. A large number of mentioners remain unidentified, and the distribution of follower counts among the mention users exhibits a significant Pareto effect, indicating a small group of highly influential users who generate numerous mentions. Furthermore, the proportion of sharing and exchange mentions positively correlates with the number of user followers, while the incidence of supportive mentions has a negative correlation. In terms of country-specific mention behavior, Thai scholars tend to utilize supportive mentions more frequently, whereas Korean scholars prefer sharing mentions over communicating mentions. The cumulative pattern of Twitter mentions suggests that these occur before official publication, with a half-life of 6.02 days and a considerable reduction in the number of mentions is observed on the seventh day after publication.

Conducting a multi-dimensional and systematic analysis of Twitter mentions of scholarly articles can aid in comprehending and utilizing social media communication patterns. This analysis can uncover literature's distribution patterns, dissemination effects and social significance in social media.

In the era of artificial intelligence (AI), algorithms have gained unprecedented importance. Scientific studies have shown that algorithms are frequently mentioned in papers, making mention frequency a classical indicator of their popularity and influence. However, contemporary methods for evaluating influence tend to focus solely on individual algorithms, disregarding the collective impact resulting from the interconnectedness of these algorithms, which can provide a new way to reveal their roles and importance within algorithm clusters. This paper aims to build the co-occurrence network of algorithms in the natural language processing field based on the full-text content of academic papers and analyze the academic influence of algorithms in the group based on the features of the network.

We use deep learning models to extract algorithm entities from articles and construct the whole, cumulative and annual co-occurrence networks. We first analyze the characteristics of algorithm networks and then use various centrality metrics to obtain the score and ranking of group influence for each algorithm in the whole domain and each year. Finally, we analyze the influence evolution of different representative algorithms.

The results indicate that algorithm networks also have the characteristics of complex networks, with tight connections between nodes developing over approximately four decades. For different algorithms, algorithms that are classic, high-performing and appear at the junctions of different eras can possess high popularity, control, central position and balanced influence in the network. As an algorithm gradually diminishes its sway within the group, it typically loses its core position first, followed by a dwindling association with other algorithms.

To the best of the authors’ knowledge, this paper is the first large-scale analysis of algorithm networks. The extensive temporal coverage, spanning over four decades of academic publications, ensures the depth and integrity of the network. Our results serve as a cornerstone for constructing multifaceted networks interlinking algorithms, scholars and tasks, facilitating future exploration of their scientific roles and semantic relations.

Even if there is a wealth of research highlighting the key role of values and cultural significance for heritage management and, defining specific interventions on built heritage, seldom the relation to their leading values and values hierarchy have been researched. How do values and interventions relate? What values trigger most and least interventions on heritage? How do these values relate and characterize interventions? And what are the values hierarchy that make the interventions on built heritage differ?

This paper conducts a systematic content analysis of 69 international doctrinal documents – mainly adopted by Council of Europe, UNESCO, and ICOMOS, during 1877 and 2021. The main aim is to reveal and compare the intervention concepts and their definitions, in relation to values. The intensity of the relationship between intervention concepts and values is determined based on the frequency of mentioned values per intervention.

There were three key findings. First, historic, social, and aesthetical values were the most referenced values in international doctrinal documents. Second, while intervention concepts revealed similar definitions and shared common leading values, their secondary values and values hierarchy, e.g. aesthetical or social values, are the ones influencing the variation on their definitions. Third, certain values show contradictory roles in the same intervention concepts from different documents, e.g. political and age values.

This paper explores a novel comparison between different interventions concepts and definitions, and the role of values. The results can contribute to support further research and practice on clarifying the identified differences.

CPTED’s premise to the improvement of quality of life (QOL) is crime prevention and safety, and yet there is little concern for the impact of CPTED implementation to QOL when the crime increases after the interventions.

This study systematically analyzed articles both quantitatively and qualitatively.

This study found that the CPTED–QOL relationship discussion was highly inadequate in research. Improvement of QOL has been elevated to an unquestionable and certain truth of CPTED and yet the evidence on this is highly inconclusive.

This study is a contribution to the CPTED–QOL discussion that has been lacking.

This paper aimed to explore the presence of altmetric data across the sub-categories of the medical science discipline and also explore whether the openness of articles results in (dis)advantage for altmetrics mentions.

The research implies data carpentry methods for gathering bibliographic data related to narrow fields of medical science discipline from the Scopus database with at least one Indian author affiliation during 2012–2021. The corresponding data were also collected from three different sources: Altmetric.com, Mendeley.com and Unpaywall.org, using OpenRefine and REST/API calls. Further, the authors observed open access altmetric advantages (OAAA) and categorical OAAA (COAAA) across seven altmetric platforms for all articles as well as discipline-wise.

The result shows that the overall coverage of altmetric events is still low, but it shows an increasing trend from the past. Mendeley has the largest coverage; almost 97.12% of publications are covered. The health policy discipline has extensive coverage across altmetric platforms (nearly 57.40% of publications in altmetrics and 99.23% in Mendeley), whereas the drug guides has the lowest (almost 0.92% in Altmetrics and 77.05% in Mendeley). Moreover, the OA articles have been highly covered in altmetrics than those of non-OA articles, and bronze OA articles covered mostly compared to others. News registered with the significant OA altmetric advantages across disciplines. Categorically, bronze and hybrid OA have the largest altmetric advantages.

This research is a unique attempt to apply OAAA and COAAA to explore OA altmetric advantages of narrow subject categories of medical science disciplines.

This paper aims to investigate the zakat disclosure of Islamic banks at the global level. It is important for depositors and shareholders of Islamic banks to know whether the bank is paying zakat on their behalf or not. Additionally, disclosing the calculation method used is also necessary to eliminate uncertainties resulting from ambiguous reporting that can mislead the stakeholders. This issue becomes more obvious when considering that depositors and shareholders may have different accounts with different Islamic banks, which makes it quite confusing to have multiple ways of zakat calculation or different approaches on who is the party that pays it. This study analyzes the current practices across 13 countries and recommends best practices.

The objective of the paper objective is achieved through analyzing the annual reports of 34 Islamic banks in 13 countries for the years 2014 and 2019. It further quantifies the zakat disclosure by constructing a zakat disclosure index. This index considers the disclosure of four major constituents covering the amount and the responsibility for payment, the calculation method, the involvement of the Shariah board and the zakat duty on investment account holders. For further robustness, this study is further supported by content analysis measures using the zakat word count in annual reports.

The results indicate a major issue in zakat disclosure. The overall average of disclosure index is low. Most of the banks disclose limited information about zakat, such as the amount and the responsibility for payment, in their annual reports. Less than 40% of the examined banks disclose information about the role of the Shariah board in zakat calculation, and a very limited number of banks (9%) are found to disclose enough details about the zakat calculation method. Furthermore, none of the examined banks mentions the zakat due for the investment accounts. Overall, zakat disclosure of most of the banks, whether following Accounting and Auditing Organization for Islamic Financial Institutions or otherwise, are found to be not up to the expected best practices.

Among the limitations of this study is the sole dependence on annual reports of Islamic banks without considering other means that banks might be using to communicate zakat-related matters to stakeholders. Examples of such means include a website, social media and other direct or indirect marketing materials. Additionally, the results of this study shall not be overgeneralized regarding differences between countries because the sample does not include all Islamic banks in the selected country. Future research may use the proposed zakat disclosure index on a country-specific data sample.

The findings have significant implications as they raise a serious concern regarding the sufficiency of the Islamic banks’ disclosure about a core area of their responsibility, that is, the zakat. The index developed can be a tentative measure of zakat disclosure transparency pending further review. The result further suggests looking at the composition of members of Shariah boards to include at least one member with a sound accounting background. Zakat is a religious duty; therefore, a perceived lack of transparency on the amount, method of calculation and how the zakat is paid may affect the future injection of capital into Islamic banks.

An important contribution of this paper lies in the fact that the collected data is not provided in any available database. Rather, it is manually captured from the individual annual reports of reviewed Islamic banks. Further, this paper proposes an index to measure the zakat disclosure at bank and country levels.

This study aims to enrich our understanding of the characteristics of non-urban coworking spaces (CSs) that focus on corporate users, as well as the benefits that companies expect to gain from incorporating those CSs into their corporate real estate (CRE) portfolios.

This study leverages a series of in-depth interviews with owners and managers of CSs in non-urban locales that focus on serving corporate clients.

The research reveals various CS characteristics and forms within non-urban areas, focusing on corporate clients. It suggests that implementing a CS in corporate premises is perceived to enhance CRE use-value strategies with a focus on the employee's well-being, innovation and the attraction of talents. Moreover, exchange-value strategies with a focus on portfolio flexibility may benefit from the implementation of a CS. However, strategies related to life-cycle cost optimization or gains are not perceived to be supported. Social events for the surrounding neighborhood and the choice of location emerge as critical success factors for non-urban CSs. Besides infrastructure and connectivity, non-urban corporate-centric CSs built their location decisions rather on a personal connection to the location and place of residence of potential users than on lower rental prices.

This research pioneers in providing a comprehensive understanding of non-urban CSs, particularly in the context of their perceived implications for corporate real estate management. The nuanced perspectives it offers are invaluable for stakeholders looking to leverage CSs as part of their corporate strategies.

This paper aims to explore the Spanish Self-Initiated Expats’ (SIEs) motivations and factors involved in the choice of the host destination.

Through an exploratory and qualitative study, drawing upon SIE literature on motivations and careers, 22 Spanish SIEs were interviewed in a semi-structured way.

Most SIEs clearly detailed the line of reasoning behind the host destination choice (specific destination); a second group considered a limited number of potential countries to relocate to (alternative destinations), and the smallest one did not choose a specific location. Career motivations were the most mentioned ones and different degrees of career planning were found: those with a very defined career planning process relied upon one potential destination, while those with a less defined one considered several alternative host destinations. The European Region Action Scheme for the Mobility of University Students experience was one of the most mentioned factors influencing the choice of the host destination, which may be common to other European Union (EU) nationals. As to the limiting ones, the visa requirements outside the EU were identified. Other factors were particular to Spain, such as the perceived need for English proficiency for a successful global career and the degrees of career planning.

These findings may assist Talent Management Managers to align organizational strategies with SIEs motivations. They may also help future Spanish and European SIEs in their individual career management process.

This study contributes to a better understanding of the expatriation motivations and factors influencing the destination location of Spanish SIEs, adding to the SIE and global career literature.

The COVID-19 pandemic caused significant societal changes and altered how much of the construction industry operates. This study investigates the impacts of pandemic-related changes, how these changes may apply to different companies, and which changes should continue post-pandemic.

We aim to identify pandemic-driven changes that have affected the construction workplace and the advantages and challenges associated with them. We then make recommendations for what could and should endure through the pandemic and beyond, and under what circumstances. To achieve this objective, we conducted both qualitative and quantitative analyses of 40 semi-structured interviews with US-based construction professionals.

Identified through these interviews were 21 pandemic-driven changes across six categories: management and planning, technology, workforce, health and safety, supply chain, and contracts. This study noted both positive and negative impacts of the changes on cost, schedule, productivity, collaboration, employee retention, flexibility, quality, and risk mitigation. Participants indicated that some changes should remain after the pandemic and others (e.g. select safety measures, schedule adjustments) should be temporary.

By incorporating these lessons learned into recommendations, the findings of this study will help businesses identify and implement the most appropriate improvements for their organizations. The findings also provide policymakers with valuable insights on how to promote innovation in the construction industry and potentially enact more effective policies during crises to drive long-term improvements.