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This study aims to examine the potential of Information Ethics (IE) to serve as a coherent ethical foundation for the library and information science profession (LIS profession).

This study consists of two parts: the first part present IE’s central theses and the main critiques it has received; the second part offers the authors' own evaluation of the theory from the LIS perspective in two steps: (1) assessing its internal consistency by testing its major theses against each other; (2) assessing its utility for resolving frequently debated LIS ethical dilemmas by comparing its solutions with solutions from other ethical theories.

This study finds that IE, consisting of an informational ontology, a fundamental ethical assertion and a series of moral laws, forms a coherent ethical framework and holds promising potential to serve as a theoretical foundation for LIS ethical issues; its inclusion of nonhuman objects as moral patients and its levels of abstraction mechanism proved to be particularly relevant for the LIS profession. This study also shows that, to become more solid an ethical theory, IE needs to resolve some of its internal contradictions and ambiguities, particularly its conceptual conflations between internal correctness, rightness and goodness; between destruction, entropy and evil; and the discrepancy between its deontological ethical assertion and its utilitarian moral laws.

This study alerts LIS professionals to the possibility of having a coherent ethical foundation and the potential of IE in this regard.

This study provides a systemic explication, evaluation and field test of IE from the LIS perspective.

This paper aims to identify impediments, discuss impediments and make recommendations for the impediments during the execution of a search and seizure warrant for digital evidence in South African criminal cases.

The discussion of this article, the second article of two, focuses on a literature review of international and local impediments identified in case law and published research literature and how it is approached in various jurisdictions.

This study found that impediments identified and addressed internationally during the execution of a search and seizure warrant for digital evidence are relevant to South African criminal cases and still need to be addressed during the execution of a search and seizure warrant for digital evidence in South African criminal cases.

Although searches and seizures for digital evidence are relevant to civil, regulatory and criminal investigations, this study focuses on the search and seizure for digital evidence in criminal matters with an emphasis on the provisions of the Criminal Procedure Act 51 of 1977 and the Cybercrimes Act 19 of 2020.

The originality of this paper lies in the procedures followed during the physical search and seizure of digital information during the execution of search and seizure warrants for digital information in South Africa. If the South African Police Service follows the recommended procedures, it will contribute to the success of the South African Police Service, which would result in the improved quality of investigations and successful prosecution of crime in South Africa.

Based on this holistic model, the authors propose and analyze seven key issues related to the admissibility of digital media in cross-border trials considering four Latin American countries.

The authors apply the modeling process of the soft systems methodology by Checkland in order to develop a holistic model focused on human situation problems involving digital media and information technology devices or systems.

The authors discuss the status of the identified key issues in each country and offer a perspective on the integration of cross-border work analyzing the contribution of these key issues to the collaboration between countries criminal cases or the use of foreign digital artifacts in domestic trials.

In this study, the authors assumed that the problems of official interaction between agencies of different countries are considered solved. However, for future studies or research, the authors recommend that these issues can be considered as relevant, since they are related to cross-border cooperation topics that will necessarily require unavoidable official arrangements, agreements and formalities.

This work is aimed at defining and analyzing the key issues that can contribute to the application of current techniques and methodologies in digital forensics as a tool to support the legal framework of each country, considering cross-border trials. Finally, the authors highlight the implications of this study lie in the identification and analysis of the key issues that must be considered for digital forensics as a support tool for the admissibility of digital evidence in cross-border trials.

The authors consider that digital forensic will have high demand in cross-border trials, and it will depend on the people mobility between the countries considered in this study.

This paper shows that the soft systems methodology allows elaborating a holistic model focused on social problems involving digital media and informatics devices.

The purpose of this essay is to explore the ramifications of Web 3.0 on sports media and the desire for the ultimate fan experience.

The essay explains how Web 3.0 will influence (1) the social TV experience, (2) the drive for zero latency in sports streaming, (3) the desire for exclusive sports memorabilia and experiences, (4) artificial intelligence-driven content and (5) the potential decentralization of certain elements within the sports media ecosphere.

The core fan experience will still be recognizable, but AI, VR, blockchain and other elements will be infused within it.

Ramifications on sports media scholarships are offered.

Although virtual worlds, such as the Metaverse, can disrupt the hospitality sector, few empirical investigations have critically evaluated the scope and scale of this disruption from an industry perspective. This study aims to rectify this knowledge gap by exploring the opportunities and challenges of the Metaverse as seen by hospitality professionals.

This is a Delphi study conducted with UK-based senior hospitality industry practitioners experienced in designing and implementing digital innovations within their organisations.

The Metaverse is most likely to be adopted by hospitality organisations willing and able to take risks, such as large and/or chain-affiliated enterprises. The Metaverse will not replace traditional hospitality services but supplement and enhance them with new layers of service. The main applications are in the context of events and experiences. The Metaverse will also provide the “try before you buy” option, revealing the opportunities to design digital twins of physical businesses. Young and technology-savvy individuals are most likely to first adopt the Metaverse. The key challenges of the adoption are attributed to the technological unpreparedness of hospitality organisations; market immaturity; inflated customer expectations; a skills gap among hospitality employees; and regulatory issues. These challenges require the engagement of various stakeholders to create an operational and monitoring framework for hospitality organisations to embrace the Metaverse.

This study highlights how the Metaverse can disrupt the hospitality industry at the level of strategic planning and business operations.

To the best of the authors’ knowledge, this is one of the first empirical investigations of the potential of the Metaverse from the viewpoint of hospitality industry practitioners.

E-learning has become a polarizing issue. Some say that it enhances accessibility to education and some say that it hinders it. While the literature on the subject underscores the effectiveness of the pedagogical frameworks, strategies and distance learning technologies, the firsthand accounts of students, parents and practitioners challenge the validity of experts’ assessments. There is a gap between theory and practice and between the perceptions of providers and consumers of online learning. Following a period of lockdowns and a transition to online learning during the recent pandemic, the prevailing sentiment toward a distance mode of instruction became one of strong skepticism and negative bias. The aim of the study was to examine why e-learning has struggled to meet stakeholder expectations. Specifically, the study posed two research questions: 1. What are the reasons for dissatisfaction with online learning? 2. What are the implications for future research and practice?

The study used a mixed methods approach to examine the reasons behind negative perceptions of online learning by comparing the firsthand accounts posted on social media with the literature. To this end, n = 62,874 social media comments of secondary and postsecondary students, as well as parents, teachings staff and working professionals, covering the span of over 14 years (2008–2022), were collected and analyzed.

The study identified 28 themes that explain the stakeholder’s discontent with the online learning process and highlighted the importance of user-centric design. The analysis revealed that the perceived ineffectiveness of distance education stems from the failure to identify and address stakeholders’ needs and, more particularly, from the incongruence of instructional strategies, blindness to the cost of decisions related to instructional design, technology selection and insufficient levels of support. The findings also highlight the importance of user-centric design.

To address dissatisfaction with e-learning, it is imperative to remove barriers to learning and ensure alignment between technology and learners’ needs. In other words, the learning experience should be personalized to account for individual differences. Despite its cost-effectiveness, the one-size-fits-all approach hinders the learning process and experience and is likely to be met with resistance.

Drawing from the extensive literature, the study offers an explanation for stakeholders’ discontent with e-learning. Unlike survey research that is prone to social desirability bias, the sample provides a rare opportunity to observe and measure the visceral reactions that provide a more authentic sense of stakeholders’ perceptions toward online learning. The authors offer recommendations and identify areas for future research.

This study aims to test mutual fund superiority, comparing the performance of 646 Islamic mutual funds with 475 ethical funds and conventional proxies.

This study uses statistical methods including paired t-statistics of independent samples, one-way Bonferroni test–analysis of variance–F-statistic for testing means equality, the chi-squared test for median equality and regression models corrected for heteroscedasticity. These methods are used to identify superiority of mutual funds and to validate the significance of the results.

The findings confirm the superiority of conventional funds over ethical funds and ethical funds over Islamic funds. Both ethical and Islamic funds, however, outperform conventional proxies during some recessionary periods. Moreover, stronger performance is recorded for Islamic funds in Europe and North America regions and across age and asset allocation categories, but limited support for reversal fund size, composition focus and reversed price effect.

These findings should assist investors when deciding to invest and motivate Islamic and ethical funds to improve their portfolio formation and asset allocation strategies set by their professional managers.

The originality of this study is in its comprehensive approach in that it compares the performance of funds after accounting for such characteristics as fund objectives, size, age, asset allocation, geographical investment focus, fund composition focus, share price levels and the effect of global crises. This study approach is not only original and productive in documenting Islamic funds’ performance for the past three decades (1990–2022) but can also update the literature on these characteristics collectively and individually.

The purpose of this paper is to examine the nature of cyberbullying and corresponding strategies being used under the New United Arab Emirates (UAE) Cybercrimes Law.

The analysis begins with a review of the nature of cyberbullying, focusing primarily on key concepts, underlying risk factors, forms of cyberbullying and adverse effects. Background information about the nature of cyberbullying will then lay the foundation for the subsequent sections of the analysis, which will focus on preventive strategies and legislative measures. The second section of the analysis will entail a review of the legislative framework for cyberbullying in the UAE. The goal here is to examine how the UAE is responding to the emerging threat of cyberbullying in its jurisdiction. The next section will then shift gears to interventions and strategies being implemented at the global level. A global perspective is central to comparing practices in the UAE to international standards and regulations.

Findings from the analysis have shown that the UAE has the most robust and comprehensive cyberbullying laws internationally. Nonetheless, the New Cybercrimes Law is ambiguous, and it is not expressively specific to cyberbullying. The law does not have a clear definition of cyberbullying, as well as the scope of its application to specific cases involving students. A comparative analysis across jurisdictions has revealed that most countries neither have specific cyberbullying laws nor explicitly define the phenomenon in existing laws. Thus, cyberbullying is a gray area in the UAE national law, requiring a clear definition and scope of application. The courts will establish case law that will finally address the current definitional challenges and extend of applying the New Cybercrimes Law.

The analysis concludes with the application of international best standards and practices to the UAE context, focusing specifically on how to strengthen laws and procedures in the UAE.

This study aims to examine students' experiences of sexual harassment (SH) in higher education institutions (HEIs) in Ghana as well as their coping strategies.

The study adopted the cross-sectional descriptive survey research design and used the convenience sampling technique to sample 926 students from four public Universities in Ghana. The data collected were analyzed using an independent-sample t-test with the aid of IBM SPSS Statistics version 23.0.

The study found no significant difference in male and female students' experience of gender harassment and unwanted SH. Additionally, female students were sexually coerced considerably more than males. In the case of coping strategies, the study found no significant differences among male and female students use of passive coping strategies. Finally, the study found significant differences among male and female students use of active, self-blame and benign coping strategies.

This implies that specific attention is required when students experience SH since they may be exposed to more aggressive sexual behavior.

The originality of this present study rest on its unique contribution by exploring the prevalent SH and coping strategies among tertiary students in HEIs in Ghana.

Text classification is a widely accepted and adopted technique in organizations to mine and analyze unstructured and semi-structured data. With advancement of technological computing, deep learning has become more popular among academicians and professionals to perform mining and analytical operations. In this work, the authors study the research carried out in field of text classification using deep learning techniques to identify gaps and opportunities for doing research.

The authors adopted bibliometric-based approach in conjunction with visualization techniques to uncover new insights and findings. The authors collected data of two decades from Scopus global database to perform this study. The authors discuss business applications of deep learning techniques for text classification.

The study provides overview of various publication sources in field of text classification and deep learning together. The study also presents list of prominent authors and their countries working in this field. The authors also presented list of most cited articles based on citations and country of research. Various visualization techniques such as word cloud, network diagram and thematic map were used to identify collaboration network.

The study performed in this paper helped to understand research gaps that is original contribution to body of literature. To best of the authors' knowledge, in-depth study in the field of text classification and deep learning has not been performed in detail. The study provides high value to scholars and professionals by providing them opportunities of research in this area.