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This study aims to analyse the relative prominence of antecedents of digital accounting practices in the micro, small and medium enterprises (MSME) industry. The Ministry of MSME defines the sector as comprising manufacturing enterprises and enterprises rendering services in terms of investment in plant and machinery and the annual turnover. The study is motivated by the rapid usage of digitalisation that has become the driving force guiding organisational development.

This study builds on technological–organisational–environmental framework to analyse the objective. It identifies five technological sub-antecedents, six organisational sub-antecedents and five environmental sub-antecedents. Data were gathered from 202 accounting professionals from MSMEs and academicians. Semi-structured interviews with experts were also conducted to corroborate the analysis of results. Then, the study applied fuzzy analytic hierarchy process to analyse the prominence.

This study finds that the technological antecedent captures the topmost position among all three antecedents, followed by organisational antecedent. They play a critical role in driving digitalisation in accounting practices. Among sub-antecedents, the highest priority is provided to technological accounting infrastructure, followed by cybersecurity precautions, training and allied services for accounting software, support from management and availability of accounting resources.

The study contributes to the scant literature by establishing hierarchy of relevance of different antecedents of digital accounting practices in MSMEs. It offers valuable insights to accounting practitioners and MSME owners/managers. They can pay attention to the prominent antecedents identified in this study to build a robust innovation structure for implementing digitalised accounting practices. The study also has significance to policymakers, specifically when they are more focused on the growth and development of MSMEs.

This study aims to investigate the potential effect of project-based learning (PBL) in alleviating the negative psychological factors that hinder language learning in an intensive-English course at a private Lebanese university through its meaningful, student-centered, collaborative, and creative pedagogical approach and supporting students in constructing a positive self-identity as an English language learner and user.

The L2 Motivation Self System theory describes the roles of the Ideal L2 Self, the Ought to L2 Self, and the L2 Learning Experience as the three dimensions that trigger L2 motivation, which is an important factor in achieving L2 learning outcomes. This pre- and post-test questionnaire study aims to investigate the impact of designing and implementing project-based learning as a creative pedagogical method on the L2 Learning Experience of tertiary EFL students undertaking an intensive English language course.

The paper found that such a pedagogical approach decreased students’ foreign language anxiety and positively impacted their attitudes toward L2 learning as they actively engaged in their projects in a meaningful, connected, and creative manner. This paper concludes that the adopted innovative pedagogical approach created an L2 language learning experience for EFL students to move closer from their actual self to their potential or imagined Ideal L2 Self as they embraced their creative self, social self, and risk-taking self within the frame of identity negotiation and construction. Findings from this study map to the wider literature on L2 language acquisition and foreign language learning.

This study has theoretical and practical implications. Theoretically, this research contributed to the existing body of literature on L2 education from a nuanced lens that maps students’ motivation, engagement, characteristics, and psychology to their identity as L2 learners to make their learning journeys more rewarding, productive, and connected.

Practically, this study showcases how the implementation of the PBL approach in a creative and aligned manner can positively impact students’ attitudes toward English teaching and learning, making novel reading a more engaging task that prompts students’ creativity, critical thinking, and risk-taking while facilitating the negotiation and construction of their identity as L2 learners and users. Additionally, the implementation of such creative pedagogical approaches prompts on an educational policy level the shift from the traditional ways of English teaching and learning to a more student-centered, engaging and connected state, creating a set of exemplars for EFL and ESL instructors to use to ensure that L2 learners connect to their own experiences and develop a range of transferrable skills while acquiring language capabilities.

This paper concludes that the adopted innovative pedagogical approach served as a channel for EFL students to move closer from their actual self to their potential or imagined Ideal L2 Self as they embraced their creative self, social self, and risk-taking self within the frame of identity negotiation and construction. Findings from this study map to the wider literature on L2 language acquisition and foreign language learning.

The purpose of this study is the same as those of the preceding 16 studies on happiness, health and religion, and they are as follows: to estimate the mean scores and the sex-related differences in the study scales; to examine the associations between the study scales; to investigate the principal components; and to compare the present results with the previous findings.

A non-probability sample of university students in the United Arab Emirates was selected by the “snowball” sample method. To overcome the issue of people refusing to participate in the study, this method was used in the selection process due to the challenge of sampling students in all the universities across the nation, which makes it difficult to choose a probability sample. The approval of the Ethics Committee was obtained from Ajman University to apply the study tools, and then the students were given the choice through open announcement to participate in the study and circulate it to other students at Ajman University.

Results showed that men had significantly higher mean ratings on mental health, physical health and happiness than did women. All the Pearson correlations between the scales were significant for men. Except for the correlations between religiosity and both happiness and mental health, all correlations between the scales for women were significant. A principal components analysis extracted one component for men which was labeled “Well-being and religiosity”, whereas two components were retained for the women which were labeled “Well-being” and “Religiosity and physical health”. Comparing the present sample’s mean happiness score to that of prior students from 16 other countries revealed that it was higher and consistent with other scores from rich Arab nations with a high GDP per capita (such as Qatar, Kuwait, Saudi Arabia and Oman). In conclusion, happiness was found to be associated with mental and physical health in both men and women, as well as religiosity in men.

Despite the strengths of the current investigation, i.e. the large sample size and the good to high reliability and validity properties of the scales, some limitations have to be acknowledged. First, the convenience and non-probability sample. Second, university students are a special segment of any country. Their age range is limited, and they probably have greater intelligence and more education compared to the general population. Therefore, a replication of the present study using a probability sample from the general population is needed.

SPSS (2009) was used for data analysis. Means, standard deviations, t-tests, d for effect size, Pearson product moment correlation coefficients and principal components analysis were used. For the principal components analysis, the Kaiser criterion (i.e. eigenvalue > 1.0) and the scree plot were used to define the number of components to be retained.

To the best of the authors’ knowledge, this is the first study about happiness in United Arab Emirates.

By addressing the dearth of literature on the subject of cybersecurity risks and artificial intelligence (AI), this study aims to close a research gap by concentrating on the ever-changing environment of online social networks (OSNs) and technology. The main goals are to classify cyberattacks into categories like malware, phishing/spam and network intrusion detection; to identify efficient algorithms for preventing cyber threats; to review relevant literature from 2019 to 2020; and to use machine learning algorithms to detect suspicious behavior related to malware. The study offers a novel framework that suggests particular machine learning algorithms for every kind of cyber threat, hence improving cybersecurity knowledge and reaction capacities. This makes the research useful for examining the impact of cybersecurity on smart cities.

Thirty papers have been examined on AI and machine learning algorithms, including K-nearest-neighbor (KNN), convolutional neural networks (CNN) and Random Forest (RF), that were published in 2019 and 2020. Using analytical software (NVivo), a qualitative approach is used to retrieve pertinent data from the chosen research. The researchers divide cyberattacks into three groups: network intrusion detection, phishing/spam and malware.

The study’s conclusions center on how AI and machine learning algorithms linked to cybersecurity are reviewed in the literature, how cyberattacks are classified and how an inventive framework for identifying and reducing risks is proposed. This makes the research useful for researching the implications of cybersecurity for smart cities.

The practical implications of this research are noteworthy, particularly in the realms of technology, AI, machine learning and innovation. The utilization of the NVivo technique enhances decision-making in uncertain situations, making the study’s results more reliable. The findings showcase the applicability of tools in analyzing malicious cyberattacks to address issues related to social media attacks, emphasizing their practical utility. The study’s relevance is further highlighted by a real-world example, where a Kuwaiti public sector fell victim to a malware attack, underlining the importance of cybersecurity measures aligned with the New Kuwait 2035 strategic development plan. The innovative framework presented in the research guides the selection of algorithms for detecting specific malicious attacks, offering practical insights for securing information technology (IT) infrastructure in Kuwait.

The rapid digitization in Kuwait, accelerated by the COVID-19 pandemic, underscores the pivotal role of technology in government services. Ma’murov et al. (2023) emphasize the significance of digitization, particularly in accessing and verifying COVID-19 information. The call for a dedicated digital library for preserving pandemic-related material aligns with the evolving digital landscape. Cybersecurity emerges as a critical concern in Kuwait and the Gulf Cooperation Council (GCC), necessitating transnational cooperation (Nasser Alshabib and Tiago Martins, 2022). In the local context, the inefficiency of information security systems and low awareness among government employees pose cybersecurity challenges (Abdulkareem et al., 2014). Social media’s role during the pandemic highlights its significance, yet the need for cybersecurity in this domain remains underexplored (Ma’murov et al., 2023; Safi et al., 2023).

The unique aspect of the paper is its in-depth investigation of the relationship between cybersecurity and AI in OSNs. It uses a special application of machine learning methods, including CNN, RF and KNN, to identify suspicious behavior patterns linked to malware. The detailed analysis of 30 research papers released between 2019 and 2020, which informs the choice of suitable algorithms for diverse cyber threats, further emphasizes the study’s uniqueness. The novel framework that has been suggested categorizes assaults and suggests certain machine learning techniques for identification, offering a useful instrument to improve comprehension and reactions to a variety of cybersecurity issues.

This study aims to review the last 50 years of academic research on collective leadership (CL) and how far it has progressed by using the Scopus database and the science mapping technique of bibliometric analysis.

This study has analysed 417 publications from the Scopus database on collective leadership from 1967 to 2023. Data were analysed using MS Excel and VOSviewer.

There has been research from different parts of the world on the various aspects of collective leadership. In recent years, collective leadership research has gained momentum. However, collective leadership is still at a nascent level when it comes to the applicability of the concepts. So far, the research on collective leadership has relied on themes such as shared leadership and distributed leadership, how collective leadership differs from other similar-looking leadership styles such as transformational leadership, and how this influences followers’ outcomes such as team effectiveness, achievements, relations, commitment, etc. Most of the research so far has been done in the United States of America, the UK and the Australian context. There exists a huge gap for studying collective leadership in African, Middle Eastern and Asian contexts.

Collective leadership research trends may be addressed to enable academics and practitioners to better understand current and future trends and research directions. Future studies in this field might use the findings as a starting point to highlight the nature of the topic.

Bibliometric techniques provide a far more comprehensive and reliable picture of the field. This article has the potential to serve as a one-stop resource for researchers and practitioners seeking information that can aid in transdisciplinary endeavours by leading them to recognized, peer-reviewed papers, journals and networks.

This study examines the impact of corporate governance on succession planning and organizational performance. Drawing on agency theory, the main purpose of this study is to identify the effect of corporate governance on succession planning by measuring the different characteristics of the board of directors.

This multi-quantitative research used primary and archival data. A total of 281 valid questionnaires were collected from Chinese listed family firms to gauge succession planning. Relevant archival data were obtained to measure board characteristics and organizational performance. All hypotheses were examined through structural equation modeling.

The outcomes indicate that corporate governance positively influences succession planning and, in turn, boosts superior organizational performance, which uncovers the mediating effect of succession planning on the relationship between corporate governance and organizational performance. Our findings reveal that board independence and education facilitate the development of succession planning, which is crucial in the family business’s life cycle.

The results of this study contribute to management succession, strategic management and leadership research by demonstrating how corporate governance fosters organizational performance through succession planning, thereby expanding the application scenarios of agency theory in family firms. Additionally, the article also enriches our understanding of how family businesses apply sound governance structures to promote organizational strategic decision-making during the succession process.

This research investigates the trajectory of Gulf region, focusing on the interplay between environmental, social and governance (ESG) factors and key elements – digital economy, green economy (GE), green finance, green energy and green innovation. This study aims to provide a nuanced understanding of how Gulf economies align their developmental pursuits with sustainability principles amidst the rapid evolution of digital technologies.

A data set of 95 listed companies from six Gulf Cooperation Council countries – Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates – from year 2016 to 2022 was compiled from reputable sources. Using fixed effect regression techniques, this study explores relationships, accounting for individual and time-specific variations.

This study indicates that key factors – digital economy, GE, green energy and green innovation – significantly influence ESG performance across Gulf nations underscoring the potential for strategic integration of these elements to enhance sustainable practices. However, the nonsignificant impact of green finance highlights a need for further exploration and refinement of financial mechanisms to effectively contribute to ESG goals in the Gulf region.

The findings underscore the importance for Gulf policymakers to prioritize ongoing support and policy formulation fostering digitalization and green initiatives. Businesses in the region can enhance ESG performance by integrating sustainable practices, promoting long-term resilience and reputation. Investors and financial institutions can use these insights to guide investment decisions, prioritizing projects contributing to environmental sustainability and social responsibility.

Amidst the current sustainability imperative, this research holds unique value in its timely exploration of the Gulf region’s sustainable landscape, providing crucial insights into the interplay between ESG factors and digital and green initiatives.

In the context of ongoing Israel-Palestine war, this study aims to explore whether consumer animosity (CA) influences individuals’ reluctance to purchase brands contributing towards the hostile nation. Furthermore, it investigates the mediating effects of product judgement (PJ), boycott motivation (BM) and boycott participation (BP) in this relationship. It also examines the moderating roles of susceptibility to subjective norms (SSN) and switching barriers (SB) in shaping their relationships with purchase aversion (PA).

Using existing validated scales, the authors designed and administered an online survey to collect 589 responses from India and Gulf Cooperation Council (GCC) countries. Using Smart PLS 4.0, the authors tested the hypothesized direct and indirect (mediated-moderated) relationships.

The findings reveal that in India, CA towards certain brands leads to negative evaluations, BM and BP. In GCC countries, it positively influences BM and BP. In general, SB subsides the influence of BM, PJ and BP on PA; however, SB has no moderating effects at all in the study.

Drawing upon the theory of planned behaviour, this paper offers novel insights into mediating and moderating roles of selected variables, namely, PJ, BM, BP, SSN and SB, in the direct relationship of CA and PA.

The purpose of this study was to understand the unique mental health concerns and access barriers experienced by South Asian Muslim youth populations living in the Peel Region of Toronto, Canada.

For this qualitative exploratory study, interviews (n = 15) were conducted with mental health professionals, educators and spiritual leaders (n = 11) who work with South Asian Muslim youth living in Peel Region, as well as with South Asian Muslim youth themselves (n = 4, aged 20–23). Interview transcripts were analyzed using reflexive thematic analysis.

Four primary themes emerged from the data: challenges and stressors, barriers, facilitators and hope and recovery. South Asian Muslim youth navigate a number of unique stressors related to the domains of culture, religion and family dynamics, as well as the impact of migration.

The findings stress the necessity of creating culturally safe, multilevel strategies to meet the nuanced challenges and diverse needs of South Asian Muslim youth communities.

This is one of the few papers to the knowledge that addresses the mental health needs and service access barriers of youth populations at the intersections of South Asian diasporic community belonging and Muslim faith in Canada.