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By examining types of literacies taught by public libraries and the modes through which these programs were offered, this study aims to explore how public libraries might integrate data literacy training for the general public into existing library educational programs.

This study examined programs offered in 30 US public libraries during 2019 and 2020 to better understand types of literacy education announced to the public through library website listings and Facebook Events pages.

While public libraries offered educational programs in literacy areas ranging from basic reading and writing to technology, vocational skills, health literacy and more, data literacy training was not widely offered. However, this study identified many already-existing programs highly compatible for integrating with data literacy training.

This study offered new insights into both the literacies taught in public library programs as well as ways for public libraries to integrate data literacy training into existing educational programming, in order to better provide data literacy education for the general public.

The study has practical implications for decision-makers in that increasing board competence and expertise through training on environmental issues will promote green policy-making.

This study included 655 firm-year observations from companies listed on the Indonesia Stock Exchange between 2017 and 2021. Panel data regression analysis is used to investigate the hypotheses. Additionally, a robustness test is conducted to validate the consistency of the primary test results.

The results demonstrate that green theme training from the board of directors, board of commissioners and independent commissioners has a positive and significant impact on the implementation of green innovation at each level of the board. This result is aligned with the robustness test performed.

This study is restricted by the fact that the only data sources used to examine the board’s green training are publication reports and other reports that disclose the board’s training activities. Therefore, future research can be done by considering other methods, such as surveys to trace green training followed by the board. Additional research may also examine green theme training in the corporate governance structure from a different theoretical angle, such as agency theory and human capital theory.

In practice, the study has implications for decision-makers in that increasing board competence and expertise through training on environmental issues will be able to promote green policy-making.

This study concentrates on Indonesia with two-board governance characteristics: the board of directors and the board of commissioners. Several scholars have examined the board of directors in light of resource dependence theory. To the best of the authors’ knowledge, no research has explained the supervisory board within the context of two-board governance. In addition, the authors have not found research that analyzes board training activities related to the environment.

Discussions about progressive gender reform across Melanesia highlight the need for more gender-inclusive policies and improved conditions for women and girls throughout all sectors. However, for many of these countries, attempts to address the problems are marred by insufficient resources and low prioritization of the issue and traditional, cultural and religious perspectives about gender and gendered roles. This article discusses how police responses are coordinated to address domestic and family violence (DFV) and provides a critical reflection on both internal responses and the complexities of multi-partner operations beyond urban spaces.

This article draws on the findings from a stakeholder engagement focus group with 20 participants from four Melanesian countries – Fiji, Papua New Guinea, the Solomon Islands and Vanuatu – to provide insight into policing innovations in rural contexts.

There is a need for improved multisector partnerships, increased police presence and greater reliance on indigenous strategies to improve responses to DFV in resource-constrained contexts.

The article provides insight into an under-researched area and makes recommendations for improving responses to DFV in rural areas in small-island developing states.

Blended learning (BL) is becoming more popular as a method of welcoming a progressively diverse range of students while adding value to the learning environment through the integration of online teaching resources. However, BL's approach of combining online instruction with conventional classroom strategies has received attention and expressed reservations over the years. While several research works have been conducted and draw attention to the global challenges of the BL mode of delivering instruction in BL's entirety, there is still no full idea of the challenges and prospects that exist regarding teacher educators' usage of the approach in higher education institutions (HEIs) in the context of developing countries. As a result, this study investigates the prospects and challenges of BL implementation in HEIs from the perspective of educators.

Drawing from the technology acceptance model (TAM), qualitative research methods and semi-structured interviews were used to gather insights from 10 educators. The data were analyzed using a thematic data analysis technique to arrive at the outcome of the study.

The findings reveal that educators deeply comprehend the BL approach and perceive the approach's effectiveness in delivering instruction and student learning. Conversely, educators' challenges are inadequate technology resources, poor internet connections, inadequate professional development training and a dearth of incentives. The study has implications for theory, research, policy enactment and practice regarding the improvement of the BL agenda in HEIs.

The explanatory framework presented here is the qualitative approach to the study of themes regarding the perceptions, prospects and challenges educators experience in their use of the BL approach in teaching and learning in the HEIs.

In the modern digital realm, while artificial intelligence (AI) technologies pave the way for unprecedented opportunities, they also give rise to intricate cybersecurity issues, including threats like deepfakes and unanticipated AI-induced risks. This study aims to address the insufficient exploration of AI cybersecurity awareness in the current literature.

Using in-depth surveys across varied sectors (N = 150), the authors analyzed the correlation between the absence of AI risk content in organizational cybersecurity awareness programs and its impact on employee awareness.

A significant AI-risk knowledge void was observed among users: despite frequent interaction with AI tools, a majority remain unaware of specialized AI threats. A pronounced knowledge difference existed between those that are trained in AI risks and those who are not, more apparent among non-technical personnel and sectors managing sensitive information.

This study paves the way for thorough research, allowing for refinement of awareness initiatives tailored to distinct industries.

It is imperative for organizations to emphasize AI risk training, especially among non-technical staff. Industries handling sensitive data should be at the forefront.

Ensuring employees are aware of AI-related threats can lead to a safer digital environment for both organizations and society at large, given the pervasive nature of AI in everyday life.

Unlike most of the papers about AI risks, the authors do not trust subjective data from second hand papers, but use objective authentic data from the authors’ own up-to-date anonymous survey.

The faculties are crucial to education. They should have enough training facilities and be encouraged to actively contribute to high-quality education and successful learning. Faculty engagement and development activities should be explored and included in learning organizations and employee engagement in India. This paper aims to describe higher education as a learning organization. The research will also assess how faculty development programs affect faculty engagement behaviors in these institutions and if professional development mediates this effect, which has not been previously examined.

This study was conducted with quantitative data collected from 267 faculties through reliable and validated adapted questionnaires. Semistructured interviews were conducted with heads and professor-level faculties to gain insights into faculty development and engagement. Partial least squares structural equation modeling technique (PLS-SEM 3.3.6 version) was used to test the conceptually drafted model.

Faculty professional development programs shown to improve higher education faculty engagement and professional progress. The studies also showed that higher education institutions must prioritize faculty development to become learning organizations. Professional development reduced the direct effects of faculty development program (FDP) on faculty engagement. This suggests that professional growth mediates the research.

This research emphasizes and professional development to boost teacher involvement in B-Schools. Management must design faculty development programs to construct professional development and learning organizations, according to the results. Developing and writing rules that encourage faculty engagement in such internal and external programs would also enhance their academic and administrative abilities and assist higher education institutions become learning organizations.

The study is one of the few to examine the impact of faculty development programs and professional development on faculty engagement in higher education institutions, particularly B-Schools, and its competitive mediating role.

The pressing issues of climate change and environmental degradation call for a reevaluation of how we approach economic activities. Both leaders and corporations are now shifting their focus, toward adopting practices and embracing the concept of circular economy (CE). Within this context, the Food and Beverage (F&B) sector, which significantly contributes to greenhouse gas (GHG) emissions, holds the potential for undergoing transformations. This study aims to explore the role that Artificial Intelligence (AI) can play in facilitating the adoption of CE principles, within the F&B sector.

This research employs the Best Worst Method, a technique in multi-criteria decision-making. It focuses on identifying and ranking the challenges in implementing AI-driven CE in the F&B sector, with expert insights enhancing the ranking’s credibility and precision.

The study reveals and prioritizes barriers to AI-supported CE in the F&B sector and offers actionable insights. It also outlines strategies to overcome these barriers, providing a targeted roadmap for businesses seeking sustainable practices.

This research is socially significant as it supports the F&B industry’s shift to sustainable practices. It identifies key barriers and solutions, contributing to global climate change mitigation and sustainable development.

The research addresses a gap in literature at the intersection of AI and CE in the F&B sector. It introduces a system to rank challenges and strategies, offering distinct insights for academia and industry stakeholders.

Waste has been a major challenge in the construction industry. Lean concepts have been adopted in developed nations to overcome waste. However, developing countries are still faced with the challenge due to a lack of strategies for effective lean knowledge by construction practitioners. The purpose of this research is to identify the strategies for lean knowledge in the future Nigerian construction industry.

This was achieved through a case study of a Nigerian university. Assignments and questionnaires were the two instruments used for data collection in the study. Content analysis was adopted to analyse the data obtained from the assignments, while statistical tools such as correlation and ANOVA analysis were used to analyse the questionnaire data.

The findings of the study showed that the introduction of lean theory into students’ academic curriculum, lean practical classes and collaboration between universities, industry and lean construction institutes are some of the critical strategies for adequate lean knowledge in the future Nigerian construction industry.

The study is case-based and focused on a single university. The study did not also put clients’ level of lean knowledge as well as future required acquaintance into consideration.

This study is important as it will enable students to have an adequate understanding of the concept of lean construction right from a higher institution level. This study will enable students to put the knowledge into practice in the construction industry, hence eliminating waste or NVAAs in future construction projects.

The findings of the study could enhance concerted efforts by universities, lean construction institutes and the construction industry towards an intentional and systematic delivery of lean knowledge that will reduce waste in future Nigerian construction projects. Further studies should be carried out to identify the success factors required by clients for effective lean knowledge in construction projects.

The purpose of this study is to identify the factors leading to adoption of social networking sites (SNS) by librarians of entrepreneurial libraries to provide support to business community in their market research. Identification of these adoption factors will help to design SNS in the way that led to their seamless diffusion in university libraries, making them capable of providing reliable and useful market knowledge to the business community.

To meet the research objectives, this study is based on the technology adoption model (TAM). The survey was conducted with 50 librarians of various universities across Europe, Asia, America, Africa and Australia, sampled through non probabilistic sampling techniques-purposive and snowball sampling. The collected data are analyzed through partial least squares structural equation modeling (PLS-SEM) to estimate the formulated structural equation model using SmartPLS 3.2.9 software version.

The results indicate that university librarians have high perception about usefulness and ease of using SNS for meeting their business objectives. The perceived usefulness (PU) is solely based on the prolonged adoption of SNS technology in personal lives of the librarians. The perceived ease of use (PEU) is triggered by the increasing quality of evolving SNS technology, especially user friendliness. The prolonged use of technology, increasing market entry of brands and improving quality of SNS will overcome librarian resistance to use SNS for market research related support to business community. Evolving technologies are more likely to be adopted seamlessly in entrepreneurial libraries.

This study has implications for librarians, entrepreneurs and technology providers. Librarians should have flexible technology adoption policies in place to keep technology adoption synchronized with changing market conditions. Entrepreneurs should share clear and accurate business needs as well as practicing ethical and lawful business practices. They should also help libraries to gain new skills to make future adoption easier. Technology providers should focus on improving the quality of their technology by increasing their functional utilities, performance and reliability as well as making them more user-friendly.

This study investigates technology adoption of SNS in libraries from the perspective of providing market research related services to entrepreneurs rather than just digitalizing library services for student users.

This study attempts to analyse and rank the impact of work-related issues arising within the Indian construction industry in the context of the existing pandemic. Furthermore, this is the first attempt to provide strategies to overcome issues among a workforce that is highly contractual in nature and is currently witnessing the uncertainties of the pandemic's aftermath. To the best of the author's knowledge, few studies have highlighted the combined analysis of job insecurity, psychological stress and emotional exhaustion in the Indian construction industry.

The “Best Worst Methodology” (BWM) has been used in this study to analyse and rank the key factors that eliminate negative characteristics among contractual construction employees. The BWM, outlined by Rezaei (2015, 2016), is a popular “multi-criteria decision analysis technique” due to its advantage of consistent results and lesser pairwise data requirements.

The study identified and ranked the socioeconomic impact of the three waves of the COVID-19 pandemic on construction sector employees in the Indian subcontinent. The results indicate that job insecurity has the most prominent impact, which ultimately produces psychological stress and emotional exhaustion among employees.

To achieve the objective of identifying and prioritising the criteria of adverse socioeconomic impacts during the pandemic and outlining plans of action for the construction industry, ten experts (civil engineers/managers) from ten different construction projects were involved in a mixed-method case study, which has never been explored in the Indian construction sector.