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This study aims to examine the scholarly impact of funded and non-funded research published in ten core library and information science (LIS) journals published in 2016.

In total, ten high-impact LIS journals were selected using Google Scholar metrics. The source title of each selected journal was searched in the Scopus database to retrieve the articles published in 2016. The detailed information of all the retrieved articles for every journal was exported in a CSV Excel file, and after collecting all the journal articles’ information, all CSV Excel files were merged into a single MS Excel file for data analysis.

The study analyzed 1,064 publications and found that 14% of them were funded research articles. Funded articles received higher average citation counts (24.56) compared to non-funded articles (20.49). Funded open-access articles had a higher scholarly impact than funded closed-access articles. The research area with the most funded articles was “Bibliometrics,” which also received the highest number of citations (1,676) with an average citation count of 24.64. The National Natural Science Foundation of China funded the most papers (30), while the USA funded the highest number of research publications (36) in the field of LIS.

This study highlights the importance of securing funding, open access publishing, discipline-specific differences, diverse funding sources and aiming for higher citations. Researchers, practitioners and policymakers can use these findings to enhance research impact in LIS.

This study explores the impact of funding on research LIS and provides valuable insights into the intricate relationship between funding and research impact.

The objective of this study was to investigate the impacts of personality traits and the ability to detect fake news on information avoidance behavior. It also examined the effect of personality traits on the ability to detect fake news.

The sample population included Shiraz University students who were studying in the second semester of academic year 2021 in different academic levels. It consisted of 242 students of Shiraz University. The Big Five theory was used as the theoretical background of the study. Moreover, the research instrument was an electronic questionnaire consisting of the three questionnaires of the ability to detect fake news (Esmaeili et al., 2019, inspired by IFLA, 2017), the Big Five personality traits (Goldberg, 1999) and information avoidance (Howell and Shepperd, 2016). The statistical methods used to analyze the data were Pearson correlation and stepwise regression, which were performed through SPSS software (version 26).

The results showed that from among the five main personality factors, only neuroticism had a positive and significant effect on information avoidance. In addition, the ability to detect fake news had a significant negative effect on information avoidance behavior. Further analyses also showed positive and significant effects of openness to experience and extraversion on the ability to detect fake news. In fact, the former had more predictive power.

Following the Big Five theory considering COVID-19 information avoidance and the ability to detect COVID-19 fake news, this study shifted the focus from environmental factors to personality factors and personality traits. Furthermore, this study introduced the ability to detect fake news as an influential factor in health information avoidance behaviors, which can be a prelude for new research studies.

The present study applied the five main personality factors theory in the context of information avoidance behavior and the ability to detect fake news, and supported the effect of personality traits on these variables.

Sustainable facilities management (SFM) research necessitates a sociotechnical system perspective as core organizations and facilities management (FM) suppliers are subject to multiple pressures while participating in buildings’ use, operation, and maintenance. The purpose of this study is to examine the SFM literature and improve understanding of factors that influence SFM practices using a sociotechnical transitions approach.

This study, first, examines facility management and sociotechnical system approaches to develop a framework that conceptualizes pressures and management processes that may impact the transition of FM practices to more sustainable ones. In a second step, the framework is combined with a systematic literature review of studies published between 2000 and 2023 to examine pressures applied to FM firms, explore responses and management processes and the evolution of FM practices, and identify research gaps.

The review findings indicate that the factors proposed by a sociotechnical system framework are examined in the SFM literature and that FM regimes acknowledged the applied pressures and responded by adapting their strategies, updating technical knowledge and capabilities, establishing new governance mechanisms, and modifying the industry identity and mindset.

The review is limited to SFM literature between 2000 and 2023. An evolutionary sociotechnical system perspective of SFM practices necessitates context-specific research.

The study responds to the call for a sociotechnical system view of SFM and adds a sociotechnical transitions perspective to the development and evolution of SFM research. It organizes the current SFM literature, points to the need for context-specific research, and allows for the identification of future SFM research directions.

The aim of this research is to investigate the impact of thermal, acoustic and HVAC upgrades on the perception of the quality of life among residential building occupants.

The present study used a quantitative research approach, utilizing a questionnaire as the research instrument. A survey was conducted with 1,119 residential apartment building occupants in Prishtina, Kosovo, using a stratified random sampling method for selection of participants.

The present study used quantitative research with a questionnaire as the research instrument. The survey was conducted with 1,119 residential apartment building occupants in Prishtina, Kosovo, using stratified random sampling. The study found that thermal retrofits, acoustic retrofits and HVAC upgrades as a whole model affect the perception of the quality of life of residential building occupants in Prishtina, Kosovo. However, the study found that not all dimensions of the constructed research model (thermal, acoustic and HVAC) affect the perception of the quality of life of residential building occupants. Specifically, thermal retrofitting seems to strongly influence the perception of quality of life, while HVAC upgrades do not seem to have an impact on the quality of life of occupants. Finally, acoustic retrofits also influence the perception of the quality of life, although not to the same degree as thermal retrofitting.

The present study contributes to understanding the role that thermal retrofits, acoustic retrofits and HVAC upgrades play in the perception of quality of life by building occupants in an understudied region with a booming real estate sector such as Kosovo. The study also highlights the need for further analysis to understand why HVAC upgrades do not seem to influence the perception of quality of life by residential building occupants in Kosovo.

The present study is the first to quantify the impact of thermal, acoustic and HVAC upgrades on the perception of the quality of life of residential building occupants in Prishtina, Kosovo.

India’s growing elderly population necessitates ensuring indoor thermal comfort because of their vulnerability to temperature-related illnesses and reduced capacity to regulate body temperature. Currently, thermal sensation (TS) assessment scales, designed for those between 20 and 60 years of age, may not accurately capture the preferences of elderly adults. To address the gap, this study aims to identify appropriate scaling methods to help the elderly understand the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE-55) seven-point TS scale clearly.

Four scaling methods – color, emoji, landscape images and regional images scales – identified from literature were analyzed using quantitative approaches. The differences between two age groups (<60 years and = 60 years) were examined using frequency distribution differences and independent sample t-test methods.

Results indicated that both younger/middle-aged (<60 years) and elderly individuals (= 60 years) were adept at identifying color and regional images scale, while emoji and landscape images scale posed challenges for the elderly. Furthermore, a tailored questionnaire instrument was developed to enhance the comprehension of TS questions for the elderly. One sample t-test results indicated that the proposed questionnaire instrument is a better fit to support ASHRAE-55 seven-point TS scale, making it particularly effective for the elderly population.

This research presents a novel, tailored questionnaire instrument that significantly enhances the elderly population’s comprehension of TS questions, thereby improving the accuracy of thermal comfort assessments and contributing to the creation of better indoor thermal environments for the elderly people.

This study aims to address a gap in traditional university ranking methodologies by investigating the interrelations among key indicators featured in the QS rankings, within the broader context of benchmarking in higher education.

Utilizing the 2024 QS ranking data and a Bayesian Belief Network (BBN) model, this research explores the interconnected relationships among indicators such as “academic reputation,” “employer reputation,” “faculty-to-student ratio,” “sustainability” and others to predict university rankings.

The developed model achieves 80% predictive accuracy and shows that strong performance in “employment outcomes,” “academic reputation” and “employer reputation” contributes to higher overall scores. In contrast, weaker performance in “academic reputation” and “sustainability” is associated with lower scores. Among these factors, “academic reputation” is the most informative indicator for predicting the overall score.

This research contributes to the literature by emphasizing the interconnections among ranking criteria and advocating for network-based models for benchmarking in higher education. Particularly, it underscores the importance of “sustainability” in forecasting rankings, aligning well with the broader theme of predicting university performance and societal impact. This study offers valuable insights for researchers and policymakers, promoting a comprehensive approach that considers the interdependencies among criteria to enhance educational quality and address societal change within the framework of benchmarking in university rankings.

This paper aims to objectively present the research dynamics of China in the field of information behavior and its development trends. Firstly, it incorporates China’s research in the field of information behavior into the global research network of information behavior, analyzing the changes in the status of Chinese scholars and their research institutions in the global research network from 1991 to 2022, the trends in publication volume and the cooperation relationships with other countries. Then, it conducts a detailed analysis of China’s research categories, groups, theoretical models and hot topics in different information contexts in the past five years (2018–2022).

The study retrieved research literature related to information behavior in China from 1991 to 2022 in the Web of Science database. It then utilized a national/institutional cooperation network map to analyze the changes in the status of Chinese scholars/institutions in the global research network during this period, publication volume trends and cooperation relationships with other countries. Furthermore, it employed keyword co-occurrence network maps to analyze the key categories, groups, theories and models of China’s research in different information contexts in the past five years. Based on this, it used keyword clustering network maps to analyze the hot topics of China’s research in different information contexts in the past five years.

(1) China’s research in the field of information behavior started relatively late, but the volume of publications has grown rapidly since 2004, currently ranking second globally in cumulative publication quantity. However, the influence of the literature published by China is limited, and there is a lack of research institutions with global influence. (2) In the last five years, China has conducted extensive research in various information contexts. Among these, most research was conducted in work contexts, followed by healthcare contexts, especially studies related to epidemics. (3) Current research on information behavior in China is characterized by expanded and refined research groups, diversified research categories, continuous expansion and enrichment of research contexts, increased interdisciplinary nature of research and continuous innovation in research methods and theoretical models.

This study, utilizing a scientific knowledge map, elucidates China’s position in global information behavior research, with a specific emphasis on analyzing China’s research hot topics and trends in this field over the past five years. It aims to provide valuable resources for scholars interested in understanding the status of information behavior research in China and to offer some guidance for scholars currently or intending to engage in information behavior research.