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Purpose/Objective: This study aims to investigate the inferences of technological innovations introduced by companies, emphasised by firm investments in innovative products, the use of information technologies (ITs), and the number of innovative products in achieving economic and environmental sustainability.

Design/Methodology/Approach: Simple regression models with Driscoll–Kraay standard errors processed through the Pooled OLS method, and cluster analysis performed through the Ward method inset on hierarchical clustering. A newly compiled dataset with information extracted from the European Innovation Scoreboard (EIS) 2023 was employed in the analysis, covering the time lapse from 2016 to 2023 and integrating 28 European countries.

Findings: A statistically significant relationship between firm investments, technological innovations, and companies’ environmental and sustainability credentials. Clusters associated with the impact of innovative technologies on environmental and economic sustainability were identified. The results showed four different clusters, including countries that present similarities among the variables or distinctive tendencies from the countries belonging to other clusters.

Significance/Implications/Conclusions: New insights for firms, managers, entrepreneurs, and local or foreign investors and emphasise the need for innovation and technological investments within companies to improve their business activities and support more effective and sustainable development.

Limitations: The reduced availability of data and regarding the sample of representative indicators.

Future Research: Future research avenues might explore the importance of collaboration among technologists, financiers, policymakers, and environmentalists to harness technology’s full potential and navigate the complexities of integrating it with sustainable practices.

The majority of Malaysian firms are small and medium-sized enterprises (SMEs), and the hospitality industry is no exception. However, a study on environmental management systems (EMS) reveals that relatively few studies have observed EMS implementation in small and medium-sized enterprises hotels (SMEHs). Hence, this study aims to determine the link between institutional influences and mediating effects of top managers' perceived benefits toward EMS implementation by Malaysian SMEHs.

The results of a questionnaire survey of 252 SMEHs managerial-level professionals using Smart-PLS software provide some explanation for the marginal action taken by these SMEHs to improve their environmental performance.

Based on the findings, five variables might stimulate the implementation of an EMS: regulatory influences, customer influences, competitor influences, employee influences and manager attributes influences.

This study significantly advances understanding of EMS and SMEHs, offering a replicable research framework applicable across industries and countries. Scholars can leverage the framework for further exploration, while managers should recognize institutional influences on EMS implementation.

Given that this study is one of the few that investigates the institutional influences and perceived benefits of EMS implementation, it may provide valuable information for future research on the hospitality industry and the SMEHs among researchers and practitioners.

The purpose of this paper is to examine how digital literacy influences knowledge sharing and academic performance among graduate students in online learning environments.

Structural equation modeling via AMOS was utilized to test the research hypotheses in this cross-sectional study. Students’ digital literacy, their knowledge sharing, and their academic performance in online learning environments were surveyed by questionnaires. The sample of 330 graduate students was selected from a leading public university in Iran. Based on a stratified sampling approach, the recruited students answered questionnaires based on their degree level and field of study.

The results demonstrated that digital literacy was a positive and significant predictor of knowledge sharing and students' academic performance. Furthermore, the study revealed that knowledge sharing mediates the relationship between digital literacy and academic performance.

Our findings revealed that digital literacy positively and significantly predicts knowledge sharing and academic performance. This may be attributed to the fact that digital literacy is essential for developing digital learning in higher education. Conducting research on the antecedents and consequences of digital literacy in academic environments may prove attractive to future researchers.

Research on the influence of digital literacy on students’ knowledge sharing and academic performance in online learning environments is scarce. This study suggests that improving students’ digital literacy and knowledge sharing can enhance their performance in online learning environments, and it is a recommendation for university educators and educational technologists. Gaining insight into the influence of digital literacy on how students share knowledge and their academic achievements in virtual learning environments can have numerous managerial ramifications for administrators and instructors in higher education.

This paper aims to examine the determinants that influence acceptance towards e-wallet apps by extending the technology acceptance model (TAM) among (asnaf), a term used for charity or gift receivers from alms tax distribution institutions also known as donee.

The review of literature and structural equation modelling approach using judgemental sampling on extended TAM and determinants of e-wallet apps’ acceptance related to asnaf (donee) were conducted in a bid to contribute to the factors that are instrumental in determining acceptance of e-wallet services among asnaf.

The findings indicate that the e-wallet app’s service acceptance is determined not only by perceived usefulness, consumer maqasid index and consumer innovativeness but also by subjective norms. On the contrary, consumer maqasid index and perceived ease of use do not lend themselves to be the factor of asnafs’ e-wallet acceptance. The authors extend the TAM model to determine the factors that may be influential in predicting the e-wallet app acceptance by asnaf.

In assessing future outcomes when different sampling techniques are opted for and geographic coverage is expanded, this study should be considered in terms of the limited scope.

This study is intended to serve as a reference for making a significant contribution related to user acceptance factors related to alms tax-based e-wallet apps in asnafs’ context in Malaysia in terms of both theory and practice.

TAM is extended in the context of e-wallet app acceptance among asnafs’. A variable, namely, consumer innovativeness, is tested using the extended TAM model. To the best of the authors’ knowledge, consumer innovativeness in the context of asnafs’ acceptance of e-wallet apps is yet to be tested. Therefore, this paper will be a useful reference for policymakers, technologists, academicians and future researchers.

The implementation of BIM in the construction industry requires the coevolution of the various aspects of the BIM ecosystem. The human dimension is a very important dimension of the ecosystem necessary for BIM implementation. It is imperative to study this aspect of the BIM ecosystem both from the employer perspective and employee availability to provide insights for stakeholders (job seekers, employers, students, researchers, policymakers, higher education institutions, career advisors and curriculum developers) interested in the labour market dynamics.

To understand the BIM actor roles through the employer lens and the actual BIM actors in the construction industry, this study employed data mining of job adverts from LinkedIn and Mncjobs website. Content analysis was employed to gain insights into the data collected. Also, through a quantitative approach, the existing BIM actor roles were identified.

The study identified the employers' expectations of BIM actors; however, it is noted that the BIM actor recruitment space is still a loose one as recruiters put out open advertisements to get a large pool of applicants. From the data analysed, it is concluded that the BIM actor role is not an entirely new profession. However, it simply exists as construction industry professionals with BIM tool skills. Also, the professional development route is not well defined yet.

This study presents a realistic angle to BIM actor roles hence enhancing BIM implementation from the human perspective. The findings present an insight into the preferred against the actual.

This study aims to investigate the integration of smart contracts into the legal framework of Saudi Arabia, spotlighting the pivotal role of blockchain technology in revolutionizing contractual processes. It evaluates the capacity of smart contracts to enhance the efficiency, security and transparency of legal transactions, while critically examining the legal challenges their adoption presents.

Through qualitative analysis, this research explores the operational dynamics of smart contracts, with a focus on their autonomous execution and the digital codification of contractual terms. It scrutinizes the alignment of smart contracts with the Saudi legal system, concentrating on pivotal issues such as the establishment of mutual consent, the verification of contracting parties’ capacity and adherence to conventional legal doctrines.

This study uncovers the transformative potential of smart contracts in redefining the execution of contracts, highlighting their advantages in streamlining transactions and enhancing contractual reliability. However, it also identifies significant obstacles in the path of their full integration into Saudi Arabia’s legal landscape, notably the challenge of reconciling smart contracts’ technology-driven operations with established legal norms and rectifying potential legal inconsistencies.

Offering fresh perspectives on the confluence of technology and law, this paper illuminates the complex task of implementing smart contracts within a legal framework that is in the process of adapting to digital innovation. It advocates for a sophisticated strategy of regulatory adjustment that promotes the legal system's evolution alongside technological progress, ensuring the effective and legally sound utilization of smart contracts.

Previous work has explored the ability of auditors to expand successfully into seemingly unrelated fields, referred to as new audit spaces. The present paper focuses on how auditors respond to challenges when entering a new audit field and devising strategies to sensemake and sensegive about those challenges.

This study builds on findings from 32 interviews with auditors and participant observation of interactions between auditors and blockchainers to understand how auditors approached a new audit space.

We find that when auditors enter a new audit space, they endeavour to impose a logic of auditability. First, they determine an acceptable knowledge basis for this target audit space by developing a codified set of rules to organize knowledge, then develop a codified set of practices to verify conformity to the auditor’s set of rules. Next, auditors engage in three strategic tactics to influence members of the target audit space: appealing to the financial benefits of adopting a logic of auditability; appealing to their credentials from established audit markets; and appealing to bona fides in the target audit space to establish credibility. We posit that these sensemaking and sensegiving strategies do not take hold in the blockchain space because auditors are approaching these activities from a different mental model than blockchain natives. Because auditors are unable to adopt the mental model of the blockchain space, they are unable to devise strategies to compellingly influence blockchain natives and secure a stronghold in this new audit space. We developed a model for sensemaking and sensegiving when auditors enter new audit spaces.

This paper challenges and contrasts prior accounts of the seemingly unending expansion of audit firms into new spaces. The study demonstrates that there are limitations to auditors’ abilities to transplant their verification skills in the blockchain field.

This paper aims to explore factors impacting citizen intention toward artificial intelligence (AI) adoption, considering government regulation as a moderating variable. It focuses on the Palestinian Cellular Communications Sector in Gaza Strip, providing insights into the citizen-AI relationship dynamics. The research contributes to enhancing comprehension of AI technology from clients’ perspective.

To test the hypotheses, a questionnaire was used in an empirical study to collect primary data. In total, 347 Palestinian citizens responded to the survey.

The findings of this paper reveal that perceived usefulness, perceived ease of use, perceived risks, social influence, user experience and privacy and security concerns significantly influence citizen intention toward AI adoption. Furthermore, government regulations as a moderating variable strengthen the impact of perceived usefulness, perceived ease of use, perceived risks, social influence, user experience and privacy and security concerns on citizen intention toward AI acceptance and adoption. Thus, further research should explore specific domains and cultural contexts to gain a more comprehensive understanding of the factors shaping acceptance and adoption.

The findings of the study should be understood in the context of their limitations. First, the study ignored cultural or domain-specific subtleties in favor of generic characteristics, which calls for more research in these particular circumstances. Second, relying on self-reported data might result in biases and limitations due to subjectivity in reporting, indicating the necessity for alternate data gathering methods and approaches in future research.

Policymakers, developers and organizations working to promote the acceptability and implementation of AI applications should consider the practical implications of this study’s results. To secure the long-term use of AI technologies in a responsible and user-centric way, policymakers should give priority to public education and awareness, user-centered design and ethical AI development techniques. They should also stimulate partnerships and create monitoring systems.

This paper investigates the originality of factors that influence citizen intention toward AI acceptance and adoption. It uniquely examines the moderating role of government regulations in shaping this intention. By addressing this novel aspect, the paper contributes to advancing our understanding of the complex dynamics surrounding citizen intentions toward AI applications.

The purpose of this article is to demonstrate how artificial intelligence contributes to the preservation of the cultural identity of native peoples as well as to reduce the gap in access to verified information in native languages of Peru.

An analysis of the context of artificial intelligence in the field of preservation of native languages was developed. Subsequently, the case of the digital tool Quispe Chequea was highlighted, which uses artificial intelligence to produce journalistic content of verification in three native languages of Peru (Quechua, Aimara and Awajún). Finally, a reflection was made on the contributions of artificial intelligence in reducing the gap in access to information, vindication and preservation of native Peruvian languages.

The findings evidenced the importance of the principles of indigenous data sovereignty to respect cultural rights. Also, it was determined that artificial intelligence contributes to the preservation of cultural values of ethnic groups. It also provides verified information in the native language in order to promote inclusion. Finally, this enabling technology proved to be an important resource in reducing social and cultural gaps.

The use of artificial intelligence will enable the preservation of the native languages of marginalized and ethnic groups. It also favors the dissemination and communication of truthful information in native languages.

This opinion article highlights a little-explored context in the field of native Peruvian languages. It highlights the contribution that artificial intelligence can bring to ethnic groups, especially in the preservation of their languages and the reduction of the information access gap.

In the digital marketing era, the strategic importance of data infrastructure has never been more pronounced. This chapter examines 34 case studies across various industries to uncover robust data infrastructures’ pivotal role in enhancing data-driven marketing campaigns. Among these, the selected five studies showcase organizations like Netflix, Amazon, Spotify, Airbnb, and Starbucks, demonstrating innovative uses of technology convergence, including artificial intelligence (AI), big data analytics, and cloud computing, to achieve marketing objectives. Their success stories are a testament to the power of robust data infrastructures, inspiring businesses to leverage their data assets more effectively. Through detailed analysis, this chapter identifies key challenges related to data quality, accessibility, and the integration of disparate technologies within marketing frameworks. It further explores solutions that have led to improved customer personalization, dynamic pricing models, and significant return on investment (ROI) enhancements. These findings provide practical insights that can be directly applied to your business. Additionally, this chapter highlights the emerging focus on sustainable infrastructure practices and the criticality of a unified data approach in optimizing marketing strategies. By synthesizing insights from leading market players, this study helps a comprehensive understanding of how modern data infrastructure underpins the success of data-driven marketing, offering valuable lessons for businesses aiming to leverage their data assets more effectively.