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This study aims to assess the effectiveness of online e-resource marketing tools used by university libraries to market e-resources. The specific objectives of this study were to uncover the e-resources that are showcased by university libraries, find out instructions posted by libraries to facilitate access and utilization of e-resources, examine marketing tools used, examine how current and relevant marketing messages and test the functionality of the marketing tools used.

An exploratory research design was used to assess the effectiveness of e-resources marketing tools. The study population included all public university libraries in Tanzania. The sample was purposively selected to include all publicly funded libraries as they work under similar management environments. Data collection involved the evaluation of online marketing tools using a matrix checklist.

It was revealed that most university libraries use websites for showcasing e-resources. The commonly used social media for marketing e-resources is Facebook followed by Instagram while Twitter and Ask a Librarian are the least used. The results further show that only a few universities provide instructions on how to access and use e-resources. The findings indicate that universities had active communication platforms for marketing e-resources. Furthermore, less than 50% of marketing messages are active and current. It is recommended that marketing e-resources should be integrated into the library’s plans and strategies and this should be informed by library policies.

Given that, this study involved Tanzanian public university libraries, it is possible that the findings do not represent the same situation in all academic university libraries in the nation.

This study assesses the effectiveness of online tools used to market e-resources in university libraries in Tanzania. It reveals the e-resources that are showcased online, the instructions provided on how to access the e-resources and the functionality of the marketing tools. Unlike the previous research, which primarily focused on evaluating the Web-based tools in university and college libraries, this study focused on public libraries in the country. The results will not only contribute to the theoretical and practical understanding of the functionality of the marketing tools but also provide actionable insights to decision-makers in libraries in marketing their e-resources.

This study aims to predict customers’ intention (INT) to visit green hotels through an extended norm activation model (NAM) framework. The extended NAM includes environmental concern (EC), price consciousness (PC) and aesthetic values (AEV).

A quantitative survey design was used to collect 340 valid responses from customers in Pakistan. Partial least square - structural equation modeling was used to assess the hypothesized relationships.

The results show that EC and awareness of consequences have a significant ascription of responsibility (AR) and personal norms (PN) towards INT. The results confirmed the moderating effect of PC on the relationship between PN and INT and the moderating effect of AEV on relationship between PN and INT and AR and INT. The findings indicate that PN does not mediate the relationship between AR and INT. These findings indicate that customers are aware of the consequences of resource depletion and environmental pollution that result from the unsustainable hotel practices. Therefore, customers tend to visit aesthetically green hotels at affordable prices.

The study proposes that green hotels should design marketing strategies in a way that increases customers’ awareness and concern towards environmental issues. Marketing campaigns focusing on environmental aspects of green hotels enhance its green reputation and motivate customers to visit green hotels. In addition, managers must consider enhancing the beauty of hotels at a competitive price.

This is the first study to use an extended NAM by integrating EC, average variance extracted and PC to predict customers’ INT towards green hotels. The extended NAM framework provides comprehensive understanding of the relationships between EC, AR and PN regarding visiting green hotels. In addition, the study emphasizes on AEV’s crucial role in influencing customers’ INT to visit green hotels.

This study aims to evaluate Web-based tools that are potentially used by universities and college libraries to market e-resources in Tanzania.

This study evaluated Web-based tools that are potentially used to market e-resources in libraries in Tanzania. A sample of 52 universities and colleges was approved by Tanzania Commission for Universities and was purposively selected for this study. The evaluation was conducted with an established checklist to evaluate the websites with a view to identifying Web-based tools, which are potentially useful in marketing e-resources.

The finding of this study indicates that most libraries have websites linked to their institutional websites. The finding has revealed that social media are mostly used by public universities to market e-resources. However, only one university is using WhatsApp to communicate with patrons. The findings show that the majority of public university libraries display a list of e-resources on their websites. Moreover, the displayed e-resources of most websites are not up to date, and some of them are irrelevant. Also, most public universities provide guidelines on how to use the subscribed e-resources as opposed to their counterpart.

The study on the evaluation of Web-based e-resources marketing tools is new in Tanzania. The finding of this study will trigger efforts to adjust the way libraries market their e-resources online.

This study aims to undertake a review of how carbon trading contributes to a reduction in emission of greenhouse gases (CHGs).

A narrative literature review approach was adopted to identify and synthesise existing literature using the Scopus and Web of Science databases. Articles were limited to the past 10 years to obtain the most current literature. The various ways in which carbon trading leads to reductions in emissions were identified and discussed.

The results showed that the main ways in which carbon trading contributes to reductions in emissions are through innovation in low-carbon technologies, restoration of ecosystems through offset money, development of renewable and clean energy and providing information on investment related to emissions.

The value of this study is to contribute to the built environment’s climate change mitigation agenda by identifying the role of carbon trading.

The output of this research identifies and contextualises the role carbon trading plays in the reduction of CHG emissions.

This study aims to evaluate the relationship between the estimated levels of diet advanced glycation end products (dAGEs) intake and obesity in university students.

This cross-sectional study included 301 university students aged 18–30 years. dAGEs was estimated using a food frequency questionnaire, for 549 routinely consumed food items and were reported by dividing total energy intake. Dietary intake and sociodemographic data were collected using validated questionnaires, and the anthropometric characteristics were measured. The relationship between anthropometric measurements and dAGEs intake was examined by binary logistic regression.

A total of 43.2% of the participants had high levels of dAGEs. A significant decreasing trend was found in the percentage of carbohydrate intake compared to the increasing trend in dAGEs consumption (p = 0.005). The percentage of fat intake and meat consumption were significantly higher in participants with the highest consumption, compared with the lowest consumption of dAGEs (p = 0.006). According to the dAGEs classification of participants, body mass index, waist circumference and energy intake were found to be significantly related in all model groups. Accordingly, the increase in body mass index, waist circumference and energy intake were determined as a risk factor in those with high dAGEs intakes.

The findings of this study emphasized that higher intake of dAGEs was associated with an increased risk of obesity parameters in college students.

Designing effective business analytics (BA) platforms that visualise data, provide deep insights and support data-driven decision-making is a challenging task. Understanding the elements shaping BA platform design is crucial for success. The purpose of this study is to explore the impact of visualisation on usability (UI) and user experience (UX) while emphasising the importance of insights understanding in BA platform design.

This paper presents a case study following a startup’s journey as it undergoes two redesign phases for its BA platform. A combination of quantitative and qualitative methods is used to assess UX/UI and insights understanding of the platform. Indicatively this included semi-structured interviews, observations, think-aloud techniques and surveys to monitor runtime per task, number of errors, users’ emotions and users’ understanding.

Our findings suggest that modifications in aesthetics and information visualisation positively influence overall usability, UX, and understanding of platform insights – a critical aspect for the success of the startup.

Our goal is not to make a methodological contribution, but to illustrate how companies, constrained by time and pressure, navigate platform changes without meticulous design and provide learnings on important elements while designing BA platforms.

This paper concludes with suggested methods for assessing BA platforms and recommends practical practices to follow. These practices include recommendations on important elements for BA platform users, such as navigation and interactivity, user control and personalisation, visual consistency and effective visualisation.

This study contributes to practice as it presents a real-life case and offers valuable insights for practitioners.

The existing literature highlights challenges in measuring social impact within social and solidarity economy organisations, particularly regarding the social return on investment (SROI) methodology. This paper aims to address the barriers to SROI implementation while exploring the potential of artificial intelligence (AI) in enhancing the measurement of social impact.

This review-based paper synthesises research on SROI methodology limitations and recent AI developments while focusing on ethical considerations. Drawing from these domains, the study constructs a conceptual framework to guide future research.

The study identifies necessary enhancements to existing AI systems for social impact measurement and explores how advances in generative AI could refine current tools and address SROI constraints. It advocates for open AI models to address ethical concerns.

This study pioneers the integration of social impact assessment and AI, an innovative intersection in the academic literature. The growing disparity between academia and the rapidly evolving AI industry is highlighted and scholarly discourse is enriched through theoretical deliberations and innovative technological solutions.

Prosperity and growth of emerging economies rely heavily on the innovativeness of higher education institutions (HEIs) and their ability to provide employable graduates with entrepreneurial competencies and flexibility in the assessment of their progress in gaining knowledge. The innovativeness of the higher education system is not always reflected through optimal educational content, innovative study programs, skills improvement, assessment methods, etc. The study aims to analyze and evaluate how selected internal factors, reflected in organizational support for innovativeness of HEIs, and external factors reflected in government support for innovativeness of HEIs determine the innovativeness of HEIs, as one of the key determinants of economic prosperity.

The authors analyzed three facets of higher education innovativeness, i.e. graduates' employability, entrepreneurial competencies and new ways of assessment. The sample included 664 students from the University of Kragujevac, Serbia, and the University of Maribor, Slovenia. The authors applied structural equation modeling (SEM) to examine relations.

The results clearly show that in order to become the driver of development in emerging economies, universities must act in different directions, focusing on different organizational drivers of innovativeness, such as academic autonomy of teachers, student participation in curricula design, enhancing new ideas and compensation system, provide resources etc. Organizational support and government for innovativeness of HEIs affect students' entrepreneurial and social skills, creative thinking, leadership, interactive competencies and knowledge-skill-attitude. Assessment tasks and associated learning should be redesigned to enable students to be involved in the evaluation of their work.

The study strives to reduce the research gap identified in the field of researching the drivers of innovativeness in higher education and offers implications for emerging markets regarding various factors that determine the innovativeness of HEIs and consequently contribute to fostering innovation and entrepreneurship in emerging markets. Originality derives from the fact that even though the authors have explored HEIs in Serbia and Slovenia, the results are fully transferrable to other former socialist states, considering their similar socio-economic and educational background. Results of this research complement the understanding and provide new knowledge for further development of innovativeness in HE.

Building from calls for greater interdisciplinary research in interpreting family business phenomena, we integrate research on work–family conflict, detachment and burnout from both organizational and family studies. Using the characteristic work–family integration of family business settings as a backdrop we develop theoretical arguments that emphasize the reconciliatory role of interdisciplinary perspectives to explain the ostensibly contradictory findings in extant research. The diminishing barriers separating work and life spheres occurring in most global industries illustrate the importance of conceiving the study of work–life phenomena through recursive, rather than linear, logics and emphasizing the relevance of family business research in providing a contextual foundation for interdisciplinary discussions.

This theoretical paper integrates perspectives from the literatures on organizational behavior and family systems theory to form six propositions on the relationship between work–life integration and the antecedents and consequences of burnout and psychological detachment.

This paper explores the nuances that overlapping work and family roles might be a source of both harmony and discord in family firms. In doing so, our research contributes to the growing relationship between family systems theory and family business research, and creates the foundation for future empirical studies on the psychological dynamics that underlie work–family integration.

This research advances a novel perspective on the interactions between work–family integration and burnout and detachment, and does so by noting that the way the family business literature treats work–family integration may apply to any employee that experiences tension between these different spheres of their identity.

The purpose of this study is to make property price forecasts for the Chinese housing market that has grown rapidly in the last 10 years, which is an important concern for both government and investors.

This study examines Gaussian process regressions with different kernels and basis functions for monthly pre-owned housing price index estimates for ten major Chinese cities from March 2012 to May 2020. The authors do this by using Bayesian optimizations and cross-validation.

The ten price indices from June 2019 to May 2020 are accurately predicted out-of-sample by the established models, which have relative root mean square errors ranging from 0.0458% to 0.3035% and correlation coefficients ranging from 93.9160% to 99.9653%.

The results might be applied separately or in conjunction with other forecasts to develop hypotheses regarding the patterns in the pre-owned residential real estate price index and conduct further policy research.