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Considering the relevance of understanding what influences environmentally sustainable consumer choices, the present study aims to examine and synthesize the key determinants factors from literature and outline a new conceptual framework for explaining green purchasing behaviors (GPBs).

A bibliometric analysis was conducted on 161 articles extracted from Web of Science and Scopus databases, which were systematically evaluated and reviewed, and represent the current GPB knowledge base. Content analysis, science mapping and bibliometric analysis techniques were applied to uncover the major theories and constructs from the state-of-the-art.

The evolving debate between altruistic and self-interest consumer motivations reveals challenges for rational-based theories, as most empirical applications are not focused on buying behaviors, but instead either on pro-environmental (non-buying) activities or on buying intentions. From the subset of leading contributions and emerging topics, nine thematic clusters are unveiled in this investigation, which were combined to create the new PSICHE framework with the purpose of predicting GPB: (P)roduct-related factors, (S)ocial influences, (I)ndividual factors, (C)oncerns about the environment, (H)abits and (E)motions.

By uncovering the multiple intervening factors in GPB decision processes, this study will assist practitioners and academics to move forward on how to foster more sustainable consumer behaviors.

The present study provides readers a summary of an unprecedentedly broad collection of papers, from which the key themes are categorized, the domain's intellectual structure is captured and an actionable framework for enhancing the understanding GPB is proposed. Four new thrust areas and a set of future research questions are included.

In a context of growing concern about the environmental and social crisis, education for sustainability has emerged as a key educational approach to address these challenges. University education plays a crucial role in training professionals who are aware of and committed to sustainability. This study aims to examine the impact of the socio-professional characteristics of university professors on the awareness and implementation of sustainability in teaching and research.

This study uses the academics’ statements through a survey to describe the degree of awareness and implementation of sustainability at the University of the Basque Country (UPV/EHU) and evaluates the influence that certain socio-professional variables can have on their commitment to sustainability. For this purpose, the paper proposes the use of descriptive and inferential statistical techniques.

The research reveals that UPV/EHU is in the first phases of implementation of sustainability, indicating a low overall implementation. Therefore, it is proposed to promote internal awareness about sustainability, promote teacher training, integrate sustainability competencies in academic programs and promote research in areas with less scientific production related to sustainability, with emphasis on interdisciplinary collaboration and gender equality to achieve greater integration of sustainability in the university. In the case of the UPV/EHU, the sustainable development champions fulfill the profile of a female professor, with full-time dedication and whose disciplinary area is a minority.

This research has an individual framework and a static nature, and the results should be interpreted only in their context. Future research should have a national framework, a longitudinal nature and a broader range of university institutional agents. Another limitation of this methodology is the question coding process (Likert scales), which opens a wide range of subjectivity for the researcher.

To the best of the authors’ knowledge, this is the first study that measures the degree of implementation of sustainability at the UPV/EHU with the aim of specifying its efforts in the implementation and promotion of sustainability.

Public service announcements (PSAs) have been shown to be effective instruments that raise awareness, educate society, and change behaviors and attitudes. Many governments and organizations have utilized PSAs on social media to promote online safety among children and youth. However, we have limited understanding of the range of topics that these PSAs address and how they present their content to audiences. This study provides an inventory of the types of online safety topics that current PSAs address and a catalogue of the types of persuasive features employed by PSAs.

A content analysis of 220 YouTube PSA videos on online safety was conducted. Various topics under the umbrella of online safety were identified. Guided by the prospect theory and exemplification theory, different persuasive features employed in the PSAs were sought.

The findings highlight that the primary focus of these PSAs is on online safety behaviors and general instructions on online hygiene. Interestingly, nearly half of the videos employ a neutral frame, while a significant portion provides no evidential support. Additionally, video length was associated with the number of views and likes it gathered but not with the number of comments.

The inventory of PSAs can help researchers, practitioners, and policymakers better understand the type of content being produced and disseminated online as well as identify topics that are either over or under-represented. Further, the catalogue of the types of persuasive features employed by PSAs would be helpful in guiding research, practice, and policymaking in the context of creating effective online safety videos.

This study aims to examine the impact of board characteristics on climate change disclosures (CCDs) in the context of an emerging economy, with a unique focus on regulatory influences.

This study analyzes longitudinal data (2014–2021) from environmentally sensitive firms listed on the Dhaka Stock Exchange, using a disclosure index developed within the Global Reporting Initiative framework. The authors use a neo-institutional theoretical lens to explore regulatory influences on CCD through board characteristics. This study uses hand-collected data from annual reports owing to the absence of an established database.

The results indicate that a larger board size, the presence of foreign directors and the existence of an audit committee correlate with higher levels of CCD disclosure. Conversely, a higher frequency of board meetings is associated with lower CCD disclosure levels. This study also observed an increase in CCD following the implementation of corporate governance guidelines by the Bangladesh Securities and Exchange Commission, albeit with a relatively low number of firms making these disclosures.

This study contributes to the climate change reporting literature by providing empirical evidence of regulatory influences on CCD through board characteristics in an emerging economy. However, the findings may not be universally applicable, considering the study’s focus on Bangladeshi listed firms.

This study suggests growing pressures for diverse stakeholders, including researchers and regulatory bodies, to integrate climate change disclosure into routine activities. This study offers a valuable framework and insights for various stakeholders.

By emphasizing the influence of good governance and sustainability practices, this study contributes to stakeholders’ understanding, aiming to contribute to a better world.

This study stands out by uniquely positioning itself in the climate change reporting literature, shedding light on regulatory influences on CCD through board characteristics in the context of an emerging economy.

This paper aims to investigate whether executive compensation, corporate social responsibility (CSR)-based incentives, environmental social and governance (ESG) performance and firm performance are the significant predictors of CSR committees, in addition to CEO, firm and corporate governance characteristics, from the tenet of stakeholder and managerial power theories.

Switzerland is an exemplary country from the perspective of corporate governance and executive compensation. This empirical study includes a panel data set of listed Swiss companies, so fixed-effect logistic regression has been used.

It has been found that the companies that offer CSR-based incentives and higher compensation to their CEOs and have better ESG performance are more likely to have CSR committees.

This empirical paper fills the gap in the literature, guides practitioners about the factors that influence the creation and efficiency of CSR committees, and inspires regulatory bodies to ponder on a mandatory CSR committee to form resilient and sustainable organizations worldwide.

COVID-19 has re-emphasized the prominence of sustainability and the stakeholder approach. Thus, this paper indicates that CSR committees require the adaption and implementation of a holistic sustainability policy that integrates both external and internal factors and thereby provides a whole process for sustainability issues.

The impact of CSR committees on corporate social performance (CSP) has already been investigated. However, the predictors of CSR committees have been less scrutinized in the literature.

This bibliometric study aims to analyze publication trends, active countries, collaborations, influential citations and thematic evolution in learning analytics (LA) research focused on higher education (HE) during and after the COVID-19 lockdown period.

From the Scopus database, this bibliometric analysis extracts and evaluates 609 scholarly articles on LA in HE starting in 2019. The multidimensional process identifies the scope impacts, advancing the understanding of LA in HE. An analysis of co-citation data uncovers the key influences that have shaped the literature. This study uses the stimulus-organism-response (SOR) theory to suggest future research directions and organizational adaptations to new LA technologies and learner responses to LA-enabled personalized interventions.

Learning analytics are becoming important in the HE environment during and after the COVID-19 lockout. Institutions have used LA to collect socio-technical data from digital platforms, giving them important insights into learning processes and systems. The data gathered through LA has assisted in identifying areas for development, opening the path for improved student success and academic performance evaluation and helping students transition to the workforce.

The study’s concentration on the post-COVID-19 timeframe may lead to paying attention to potential pandemic developments. Nonetheless, the findings provide a thorough picture of LA’s contributions to HE and valuable ideas for future study initiatives. Future research with the SOR framework suggests areas for additional study to maximize LA’s potential in diverse HE situations.

This study adds to the growing corpus of knowledge on learning analytics in HE, especially in light of the COVID-19 lockdown and its aftermath. By using bibliometric analysis, the study provides a complete and evidence-based understanding of how LA has been used to address challenges related to HE. This study uses bibliometric analysis and SOR theory to appraise and map HE learning analytics research. The selected study themes can help scholars, educators and institutions shape their future efforts to improve teaching, learning and support mechanisms through learning analytics.

This study aims to examine research visualization trends in research data management (RDM), analyzing factors such as contributions, publications, document types, authors and research areas, emphasizing the dynamic nature of RDM research in the scholarly landscape.

The study analyzed citation histories for 1,401 publications from 2001 to 2021 in the Web of Science database, extracting no restrictions on document type or language. Literature visualization tools such as Biblioshiny, VOSviewer, ScientoPy and MS Excel were used. The researchers explored institutional collaborations, data-centric trends and RDM frontiers.

The majority of RDM research is conducted by librarians and information scientists. Research on RDM has increased over the past 21 years, peaking in 2019. Among universities, Sheffield and Pittsburgh have the most productivity in RDM research, and the USA is the most productive country. Most productive authors are Aleixandre-Benavent-R and Da Silva Jr. RDM; however, improvement is still needed, especially at academic universities.

This study provides valuable insights into the published literature on RDM and identifies patterns of collaboration among researchers in RDM.

This study aims to identify how Spanish consumers’ extrinsic preferences for food have evolved by examining the extant literature on food preferences in Spain, focusing on food-related attributes and food-related values.

This study is based on a synthetic review of the extant academic literature on Spanish consumer preferences for food-related attributes and food-related values from the mid-20th to the 21st century. This study uses key economic and social milestones that are most likely to influence food value chain actors to show how consumer preferences have evolved over the study period.

Spanish consumer food attribute preferences expanded as the food sector of the nation continued to grow, and value preferences showed a similar pattern from the mid-20th to the 21st century. The drivers of these preferences were trust, lifestyle, education (campaigns), sociodemographic factors and purchasing power.

Evaluating the extant literature’s contribution to consumer preferences for food-related attributes and values is important because it can aid in understanding the hierarchy and variety of consumers’ food preferences as well as the factors that drive these preferences. To the best of the authors’ knowledge, this study is the first to explore how Spanish consumer preferences evolved between the mid-20th and 21st centuries.