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Libraries are currently undergoing a significant transformation, emerging as dynamic advocates for environmental sustainability, surpassing their conventional roles as mere repositories of knowledge. In today’s world, dominated by the growing climate crisis, these evolving institutions are poised to play a pivotal role in addressing climate change. However, they confront a range of challenges, including the need to establish sustainable operations, provide accessible climate information, engage diverse audiences and uphold ethical standards.

The research methodology used for this study involves an extensive review of literature. The authors analyze existing studies concerning green libraries and their role as catalysts for climate change action globally. This analysis draws from a variety of scholarly sources, encompassing articles, books and reports, to provide a comprehensive overview of the subject.

The findings indicate that despite the aforementioned challenges, libraries in developed countries worldwide have demonstrated noteworthy success through initiatives such as green building projects, community engagement programs, collaborative partnerships, expansion of digital resources, innovative climate literacy initiatives and a commitment to ethical stewardship. These achievements serve as a source of inspiration, fostering hope and spurring action as libraries empower communities to embrace environmental stewardship. They showcase the potential of libraries as catalysts for positive environmental change.

The originality and value of this research lie in its insights into the potential of green libraries initiative as a catalyst for climate change action. Ultimately, this study opens the door to untold literary exploration, revolutionizing the art of green library capacity in the ever-evolving technological landscape. To augment their impact, libraries are encouraged to broaden the scope of their climate education initiatives, expand their digital resources, cultivate strategic collaborations, prioritize ethical responsibility and implement thorough evaluation and communication practices.

This study investigates the factors influencing the intention to use Islamic Debt Financing (IDF) among owners-managers of Micro, Small, and Medium Enterprises (MSMEs) in Morocco.

We developed and validated a comprehensive model that examines the key behavioral elements affecting attitude towards IDF, entrepreneurial achievement motivation, and IDF usage intention. Entrepreneurial achievement motivation was assessed as a mediator in the relationship between attitude towards IDF and usage intention. Gender and Islamic religiosity were examined as moderators through Multi-Group analysis. Utilizing data from 266 Moroccan MSMEs, we applied structural equation modeling for empirical evaluation.

Results revealed direct relationships with financial literacy, risk perception, and cost perception negatively affecting attitude toward IDF. Financial suitability is inversely related to attitude toward IDF. Entrepreneurial self-efficacy and subjective norms positively influenced entrepreneurial achievement motivation. Attitude toward IDF positively impacted entrepreneurial achievement motivation, and both attitude toward IDF and entrepreneurial achievement motivation were linked to the intention to use IDF. Empirical findings indicated that entrepreneurial achievement motivation partially mediates the relationship between attitude towards IDF and usage intention. Multi-group analysis revealed a significant moderating effect of Islamic religiosity on three out of nine structural relationships.

This study is primarily limited by the absence of a longitudinal examination tracking real usage behavior. Moreover, data collection focused on analyzing the behavioral intention to use Islamic debt-based financing products, excluding equity-based financing instruments. Finally, our proposed model concentrates on establishing usage intention solely based on demand-side factors without explicitly integrating supply-side consideration.

Our findings contribute to a deeper understanding of IDF adoption behavior and have the potential to support the development of more effective public policies, targeted promotional campaigns, and impactful financial education programs for MSMEs in similar markets.

This paper represents the first attempt to address MSMEs’ apprehensions regarding Islamic debt-based financing products in the MENA region.

Blockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.

Utilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.

The research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.

Unlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.

The Metaverse is rapidly reshaping the understanding of tourism, yet the public perception of this new domain remains largely uncharted empirically. This paper aims to build on the technology acceptance model (TAM) and diffusion of innovations theory (DIT) to fill this gap, offering crucial insights that could inform scholars and practitioners in both the tourism and technology sectors.

Using a big-data approach, the authors applied machine learning to scrape comments made by social media users on recent popular posts or videos related to tourism in the Metaverse from three prominent social media platforms. The cleaning process narrowed down 15,461 comments to 2,650, which were then analysed using thematic, emotion and sentiment analysis techniques.

The thematic analysis revealed that virtual tourism evokes a complex range of public beliefs. While many express awe and excitement toward its immersive capabilities, others remain sceptical about authenticity compared to physical travel. Additional themes show people draw comparisons to real-world tourism, discuss technology’s role and note educational value and novelty. However, some comments raise concerns about potential societal harms, exploitation and mental health impacts. Sentiment analysis found over half of the comments positive, though some were negative. Emotion analysis showed contentment, happiness and excitement as most frequent, though sadness, worry and loneliness also featured. Overall, perceptions of Metaverse tourism encompass enthusiasm yet substantial ambivalence.

To the best of the authors’ knowledge, this study is one of the first to comprehensively analyse public discussions on Metaverse tourism. It takes TAM and Rogers’s DIT a step further and provides fresh insights into how these theories can be employed in the emerging field of Metaverse tourism. The themes revealed new conceptual insights into multidimensional factors shaping public beliefs about Metaverse tourism and thus informing scholarly research on virtual interaction and technology acceptance regarding Metaverse tourism. In addition, the results can help tourism providers, platforms and marketers address salient public beliefs and sentiments/attitudes in developing marketing offerings, experiences and communications. Over time, this analysis methodology can be used to track the evolving public perceptions of Metaverse tourism.