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This paper aims to familiarize students and instructors in the field of library and information science (LIS) with some features and benefits of mnemonics in the context of learning artificial intelligence (AI).

A narrative review among literature exists on mnemonics, AI and library services.

In the field of LIS, the use of mnemonics can be highly beneficial for both students and instructors. Mnemonics can aid in the retention and recall of complex concepts, classification systems, information retrieval strategies, jargon learning and library memory that are fundamental to the field. In the field of AI, mnemonics can be a valuable tool for students learning complex algorithms, concepts and techniques. Mnemonics can help students remember key components of AI models, understand the underlying principles and apply them effectively in problem-solving.

To the best of the authors’ knowledge, this paper is among the first ones exploring the use of mnemonics for learning subject areas related to artificial intelligence in LIS.

This chapter recognizes and ranks the factors that impact the adoption of mobile commerce (MC) by users. The results showed that compatibility, perceived usefulness (PU), perceived risk (PR), mobility, and perceived cost (PC) have a significant effect on the adoption of MC by users. The results of multilayer perceptron (MLP) showed that mobility, among other model variables, had the greatest impact on the adoption of MC, and PC had the lowest effect on the adoption of MC. The comparison of the MLP model with linear regression illustrates that the predictive power of MLP outperforms the linear regression model in predicting MC adoption.

Criteria importance through intercriteria correlation (CRITIC) is a multicriteria decision-making method that helps compute the weights of decision criteria by considering the contrast intensity and conflicting relationships inherent in each criterion. This study aims to conduct a bibliometric analysis to provide quantitative insights into the research trends concerning the CRITIC method.

The study assembled bibliographic data from 220 CRITIC-based publications retrieved from the Scopus database. Subsequently, the gathered data were processed using Tableau software, using specific functions within the software to format them to suit the analysis requirements. Following data preparation, a visual analysis was then conducted based on five parameters that can characterize the research evolutions in CRITIC. These parameters include research productivity across years, dominant countries, dominant researchers, dominant publication outlets and popular research topics. Various visualization techniques, such as combined charts, geographical maps and word clouds, were used to draw conclusions for each parameter.

The study discovered a burgeoning trend in CRITIC research in recent years, particularly from 2019 onwards. The COVID-19 pandemic unexpectedly contributed to this upward trend, prompting remarkable collaboration among researchers who used diverse decision-making methods, such as CRITIC, to provide data-driven solutions for addressing COVID-19 challenges. Additionally, the study identified China and Iran as the leading countries in CRITIC research, with notable researchers such as Xindong Peng and Mehdi Keshavarz-Ghorabaee predominantly affiliated with institutions in these countries. Keyword analysis indicated the application of CRITIC across various trending topics, including Industry 4.0 and environmental sustainability.

No bibliometric analyses have been conducted on the CRITIC method in the literature since its inception in 1995, leaving the scientific community clueless about its research trends. To the best of the author’s knowledge, this study serves as the first bibliometric analysis, providing quantitative evidence on the research trends associated with the CRITIC method. By shedding light on these trends, this study enables the scientific community, including researchers and funding agencies, to make informed decisions regarding future research endeavors involving the CRITIC method.

Social media celebrities are getting popular in promotions, and more people have experienced social media to receive information on diet and health tips. This research presents a study showing how social media can influence young people's diet behavior through collaboration with social media celebrities.

Through recruiting on various social media and online education forums, this research recruited 196 young Hongkongers to participate in an online survey developed based on the AIDA (Action, Interest, Desire, Attention) marketing communication model on how youths access diet information from social media celebrities in Hong Kong.

Hong Kong youths consume diet information from social media celebrities through instant messaging systems, social networking sites and online videos, and, in particular, information on food calories and nutrition. However, sponsorship from vendors would decrease their desire to agree with the messages from social media celebrities. After receiving this information, some participants would follow tips and guides from social media celebrities. However, they seldom share such information. Interestingly, males are more willing to follow these tips and guides.

First, this study fills the gap of prior research, which did not study much on how social media celebrities contribute to diet promotion to youths in Asia. Second, through the AIDA Model, this study shows how social media can affect the awareness and accessibility of diet information by young Hongkongers, followed by initiating their interest in this topic and retrieving more relevant information. Furthermore, the authors further understand their desire to follow and improve their behavior as promoted by social media influencers and how they practice such behavior. Based on these findings, health-related brands could consider using social media influencers helping to promote their products and services, and these brands could further use social media to secure customer engagement.

Hospital structures serve to protect and improve public health; however, they are recognized as a major source of environmental degradation. Thus, an effective performance evaluation framework is required to improve hospital sustainability. In this context, this study presents a holistic methodology that integrates the sustainability balanced scorecard (SBSC) with fuzzy Delphi method and fuzzy multi-criteria decision-making approaches for evaluating the sustainability performance of hospitals.

Initially, a comprehensive list of relevant sustainability evaluation criteria was considered based on six SBSC-based dimensions, in line with triple-bottom-line sustainability dimensions, and derived from the literature review and experts’ opinions. Then, the weights of perspectives and their respective criteria are computed and ranked utilizing the fuzzy analytic hierarchy process. Subsequently, the hospitals’ sustainable performance values are ranked based on these criteria using the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution.

A numerical application was conducted in six public hospitals to exhibit the proposed model’s applicability. The results of this study revealed that “Patient satisfaction,” “Efficiency,” “Effectiveness,” “Access to care” and “Waste production,” respectively, are the five most important criteria of sustainable performance.

The new model will provide decision-makers with management tools that may help them identify the relevant factors for upgrading the level of sustainability in their hospitals and thus improve public health and community well-being.

This is the first study that proposes a new hybrid decision-making methodology for evaluating and comparing hospitals’ sustainability performance under a fuzzy environment.

This research paper aims to investigate the predictors and outcomes of immersive technology adoption in tourism.

PLS-SEM is used for data collected from tourists visiting the UAE and Egypt to examine predictors and consequences of adoption.

It is revealed that perceived ease of use, enjoyment, immersion, usefulness and attitude towards technology predict immersive technology adoption. It is also revealed that the adoption affects tourists’ perceived value and engagement, which, in turn, affects tourists’ satisfaction and loyalty.

The study has integrated a research model that combines both antecedents and consequences of immersive technology adoption where few empirical investigations were revealed to draw conclusions on this research area. Also, missing relations have been included and tested in the research model.

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.

By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.

(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.

This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

This study used an integrated model that incorporates the Technology Acceptance Model (TAM) and the Theory of Planned Behaviour (TPB) to empirically investigate how eco-gamification stimulates users' sustainability knowledge and, consequently, their pro-sustainable intentions through the mediating roles of sustainable knowledge and psychological and social norms. Thus, the study aims to examine users'’ experiences with the JouleBug app, which is designed to encourage users to complete at least one daily green task.

After a trial period of two weeks, a total of 360 participants completed the post-game survey during the research process.

The findings from the structural equation modeling and data analysis indicated a good fit for the model. The findings demonstrate that usefulness, ease of use and enjoyment of eco-gamification enrich users' sustainability knowledge, which, in turn, strongly influences their pro-sustainable intentions. According to the findings, the three factors of TPB have a significant impact on users' pro-sustainability intentions. Both sustainable knowledge and social cues play mediating roles in such relationships.

This study advocates that eco-gamification can be used as a platform to modify tourists’ pro-sustainability intentions in emerging tourism and technology destinations such as Egypt. Hence, this study offers significant information to tourism planners and other stakeholders on tourists’ behavioural intentions.

This study examined the effectiveness of an integrated model of TAM and TBP in predicting tourists’ intentions to use eco-gamification to improve the sustainability of tourist destinations.

本研究采用结合技术接受模型（TAM）和计划行为理论（TPB）的综合模型, 旨在探究生态游戏化如何提升用户对可持续性的认知, 从而影响他们支持环保行为的意愿。通过研究可持续性知识以及心理和社会规范在其中的中介作用来实现这一目标。因此, 本研究调查了用户使用JouleBug应用程序的体验, 该应用程序旨在鼓励用户每天完成至少一个环保任务。

在为期两周的试验期后, 共有360名参与者在研究过程中完成了后测问卷调查。

通过结构方程模型和数据分析, 研究结果表明模型拟合良好。研究发现, 生态游戏化的实用性、易用性和乐趣能够丰富用户的可持续性知识, 从而强烈影响他们支持可持续性的意愿。研究结果还显示, 计划行为理论（TPB）的三个因素对用户的支持可持续性意愿有显著影响。可持续性知识和社会提示在这些关系中发挥着中介作用。

本研究主张, 生态游戏化可以作为一个平台, 用于引导游客在埃及等新兴旅游和科技目的地中支持可持续性的意愿。因此, 该研究为旅游规划者和其他利益相关者提供了有关游客行为意向的重要信息。

本研究考察了TAM和TPB综合模型在预测游客使用生态游戏化改善旅游目的地可持续性意愿方面的有效性。

Este estudio utilizó un modelo integrado que combina el Modelo de Aceptación Tecnológica (TAM) y la Teoría del Comportamiento Planificado (TPB) para investigar cómo la eco-gamificación aumenta el conocimiento de los usuarios sobre la sostenibilidad y, en consecuencia, sus intenciones para actuar favorablemente en el medio ambiente. Esto se logró analizando cómo el conocimiento sostenible y las normas psicológicas y sociales actuaban como mediadores. Para ello, la investigación examina las experiencias de los usuarios con la aplicación JouleBug, diseñada para fomentar que los usuarios realicen al menos una tarea verde diaria.

Tras un período de prueba de dos semanas, un total de 360 participantes completaron la encuesta posterior al juego durante el proceso de investigación.

Los resultados del modelo de ecuaciones estructurales y análisis de datos indicaron un buen ajuste del modelo. Los resultaros evidencian que la utilidad, facilidad de uso y disfrute de la eco-gamificación enriquecen el conocimiento de sostenibilidad de los usuarios y, a su vez, influye significativamente en sus intenciones pro-sostenibilidad. Conforme a los resultados, los tres factores de la TPB tienen un impacto significativo en las intenciones pro-sostenibilidad de los usuarios. Tanto el conocimiento sostenible como las señales sociales desempeñan roles mediadores en estas relaciones.

Este estudio aboga por el uso de la eco-gamificación como una plataforma para modificar las intenciones pro-sostenibilidad de los turistas en destinos emergentes de turismo y tecnología, como Egipto. Por tanto, esta investigación proporciona información significativa para los planificadores de turismo y otros interesados en las intenciones conductuales de los turistas.

Este estudio examinó la eficacia de un modelo integrado de TAM y TPB para predecir las intenciones de los turistas de utilizar la eco-gamificación para mejorar la sostenibilidad de los destinos turísticos.

The shadow economy (SE) has been a serious issue with varied dimensions in all countries that significantly affect economic growth. Therefore, all countries have made an effort to tackle the SE by pursuing several measures. This study aims to investigate the impact of financial markets (stock and bond) in reducing the SE while considering the role of country risk (political, economic and financial) in N-11 countries.

The study employed first-generation methodological techniques, including a unit root test to identify stationarity in the series, a panel cointegration test and panel autoregressive distributive lag (ARDL) to estimate long-run and short-run relationships. Finally, the Granger causality is applied to determine the direction of the causal relationship.

The study explored that country risk factors are crucial in reducing the size of the SE. Moreover, the significant moderating role of country risk factors in the financial market development and SE nexus suggests that by controlling the country's risk, financial market development can negatively affect the SE.

Due to the availability of data, the study used data, ranging from 1995 to 2015, because the tax burden data is available from 1995 while the maximum data for the SE is available till 2015, using Medina and Schneider's (2019) data estimates for the SE.

The previous studies have focused explicitly on the role of financial institutions' development in the SE. To the best of the author's knowledge, no previous study is attempted to investigate the role of financial markets (bonds and stock) in the size of the SE. Furthermore, previous studies have ignored the important role of country risk factors in the size of the SE. This study investigates the impact of country risk on the SE and the moderating role of country risk in the development of financial markets and the SE nexus.

This study aims to investigate the connection between digital literacy and women’s empowerment in the rural Himachal Pradesh. It explores how improved digital skills contribute to increased empowerment among women with a specific focus on the role of education in enhancing digital literacy.

This study included 250 rural participants who completed structured questionnaires. Analytical tools, including independent-sample t-tests and partial least squares structural equation modeling, were applied to the data to gain insights into the relationship between digital literacy and women’s empowerment.

This study revealed a significant positive link between digital literacy and women’s empowerment in the rural Himachal Pradesh context. Education has emerged as a key factor that influences women’s digital skills and empowerment levels.

This research adds novelty by examining the digital literacy–women’s empowerment nexus in rural Himachal Pradesh and emphasizing the impact of education. The combination of statistical methods offers a robust approach to understanding this relationship and underscores the importance of digital inclusion and education for gender equality and women’s progress.