Search results

This study aims to examine the ability of big data analytics (BDA) to investigate financial reporting quality (FRQ), identify the knowledge base and conceptual structure of this research field and explore BDA techniques used over time.

This study uses a comprehensive bibliometric analysis approach (performance analysis and science mapping) using software packages, including Biblioshiny and VOSviewer. Multiple analyses are conducted, including authors, sources, keywords, co-citations, thematic evolution and trend topic analysis.

This study reveals that the intellectual structure of using BDA in investigating FRQ encompasses three clusters. These clusters include applying data mining to detect financial reporting fraud (FRF), using machine learning (ML) to examine FRQ and detecting earnings management as a measure of FRQ. Additionally, the results demonstrate that ML and DM algorithms are the most effective techniques for investigating FRQ by providing various prediction and detection models of FRF and EM. Moreover, BDA offers text mining techniques to detect managerial fraud in narrative reports. The findings indicate that artificial intelligence, deep learning and ML are currently trending methods and are expected to continue in the coming years.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive analysis of the current state of the use of BDA in investigating FRQ.

The current study intends to synthesise the prior studies on employability skills among work-ready professionals in higher education through bibliometric and network visualisation tools. This study also identifies the gaps in the existing literature that still need to be filled and maps the course for future investigation.

The current study examined research papers on employability skills among work-ready professionals in higher education to evaluate global patterns and the top authors, institutions, journals, and nations contributing to this field. The authors analysed eight hundred eighty-five papers from the Scopus database between 1982 and 2023 for the study. Open-source bibliometric tools like Biblioshiny were used in the study to examine the body of literature and to spot new directions for future research.

The study’s findings indicate that since 2008, researchers, academics, and policymakers have paid more attention to employability skills among work-ready professionals, and 2019 is the year seeing the highest no. of publications. Across the globe, 2077 authors contributed to the articles, papers, and journals published in the particular domain. Regarding location, the United Kingdom is the world’s most productive nation, with 342 articles produced. Similarly, Australia, India, and Malaysia are the leading nations that have contributed to the field. Both keywords significantly contribute to scientific knowledge.

The gaps in this study will serve as a reference point for researchers conducting future studies in this field. Additionally, the result of this analysis offers a roadmap for higher education to enhance graduate employability by embedding necessary skills into them.

There has not been a bibliometric analysis concerning employability skills among Work-ready professionals in the existing literature; hence, this article is innovative. This study is the first attempt at integrating the concept. The study also gives an overview of potential directions for future research in this discipline.

This research proposes a novel risk assessment model to elucidate the risk propagation process of industrial safety accidents triggered by natural disasters (Natech), identifies key factors influencing urban carrying capacity and mitigates uncertainties and subjectivity due to data scarcity in Natech risk assessment.

Utilizing disaster chain theory and Bayesian network (BN), we describe the cascading effects of Natechs, identifying critical nodes of urban system failure. Then we propose an urban carrying capacity assessment method using the coefficient of variation and cloud BN, constructing an indicator system for infrastructure, population and environmental carrying capacity. The model determines interval values of assessment indicators and weights missing data nodes using the coefficient of variation and the cloud model. A case study using data from the Pearl River Delta region validates the model.

(1) Urban development in the Pearl River Delta relies heavily on population carrying capacity. (2) The region’s social development model struggles to cope with rapid industrial growth. (3) There is a significant disparity in carrying capacity among cities, with some trends contrary to urban development. (4) The Cloud BN outperforms the classical Takagi-Sugeno (T-S) gate fuzzy method in describing real-world fuzzy and random situations.

The present research proposes a novel framework for evaluating the urban carrying capacity of industrial areas in the face of Natechs. By developing a BN risk assessment model that integrates cloud models, the research addresses the issue of scarce objective data and reduces the subjectivity inherent in previous studies that heavily relied on expert opinions. The results demonstrate that the proposed method outperforms the classical fuzzy BNs.

This study analyses the concept of happiness management based on the empirical validation of the interactions between emotional wage, organisational justice and happiness at work. It complements a holistic view of the management models used in recent corporate governance. This perspective explores the dimension’s emotional wage mediating role and influences on organisational justice and happiness at work. The effect of organisational justice on happiness at work is also analysed.

A quantitative, cross-sectional, descriptive and correlational study is proposed. A sample of 502 workers in the education sector in Costa Rica was selected. A structural equation model (PLS-SEM) was developed to test the proposed theoretical model. The SPSS-AMOS 23 and SmartPLS 4 computer programs are used for this purpose.

The results show that emotional wage has a positive impact on happiness at work and that it mediates positively between organisational justice and happiness at work. Developing organisational policies to include these variables as necessary resources for corporate governance is recommended.

The first limitation of this study is due to the type of sampling, which was purposive. The kind of population and the time of execution of this study were determining factors when deciding on the mode of application of the instrument. However, an attempt to reduce the bias associated with this element could be made by expanding the sample to as many respondents as possible. The second limitation was that the data were collected within a specific time frame. Longitudinal studies address Thcould. The third limitation stems from the scarcity of literature on happiness management. In this regard, this type of research currently needs to be explored in emerging economies. It makes it difficult to determine whether the empirical results obtained in this paper can be generalised to other territories in the global village. Moreover, the last limitation is that the authors of this research have only explored the moderating role of emotional pay in the relationship between the dimensions of organisational justice and happiness at work. It would be interesting to consider other mediating variables to have a clearer picture of the organisational justice–happiness at work construct from the happiness management approach.

As already indicated throughout this research, emotional wage, organisational justice and happiness at work are constructs that positively drive employee satisfaction, motivation and well-being. Human talent management strategies undertaken by organisations should encourage the adaptation of actions that stimulate employees' quality of life, corporate social responsibility and ethical management practices to be more competitive in today’s markets. It requires implementing the dynamic management models that provide internal customers with a high sense of belonging, job satisfaction and commitment to their professional performance. In other words, this will require robust leadership styles and corporate cultures that stimulate employee creativity, loyalty and innovation. For this reason, management of organisations must implement human resources policies to attract and retain creative talent through happy leadership. It requires, among other things that the philosophy of happiness management becomes a critical strategic resource for companies to promote nonfinancial benefits for employees, including emotional wage (Ruiz-Rodríguez et al., 2023).

In the current business environment, there has been a transformation in leadership styles, motivation and the development of a sense of belonging in organisations' human capital. Based on this trend, the study of happiness management becomes a social strategy to improve the conditions, in which the organisations compete to attract highly demanded human capital. It is why this research contributes elements that have an impact on citizenship by proposing the management models based on happiness at work and quality of life.

This study adds to the happiness management literature by including emotional wage, organisational justice and happiness at work in human resources and strategic management. It also contributes to the academic debate on the need to formulate organisational cultures that empower workers in their professional performance based on happiness and positive emotions.

This study aims to provide an insight into research related to Muslim travellers in the past 42 years.

Using 342 articles collected from the Scopus database from 1981 to 2023, this study adopted the Bibliometrix in RStudio package and Biblioshiny Web application to analyse the research on Muslim travellers in two main categories: overview and intellectual structures.

The first publication related to Muslim travellers occurred in 1981 and number of publications remained few in the first three decades. Starting 2015, publications on Muslim travellers experienced a growing development of discussions and publications. Four prominent research clusters were identified: “halal tourism”, “hajj”, “Islamic tourism” and “tourist post-purchase”. Themes within the research on Muslim travellers have evolved from the “pilgrimage” to “Islamic tourism” theme. Then, the “Islamic tourism” theme has been expanded to a variety of topics that were primarily relevant to Muslim tourist behaviour. Themes related to “climate change” and “Syria” have been identified as the niche themes that need further study.

Scopus database is regularly updated as the number of papers and journals may increase or decrease from time to time. This may impact on the fluctuation of the theme analysis from the article search at that time.

This study reviews publications related to Muslim travellers over the past four decades. Accordingly, it can aid interested researchers and stakeholders in gaining a more thorough understanding of Muslim traveller research.

The purpose of this study is to investigate offline retailers’ cryptocurrency adoption through the unified theory of acceptance and use of technology (UTAUT/2), technology acceptance model (TAM) and other related variables.

A mixed-method (QUANT-Qual) was employed. The study employed a quantitative approach (partial least squares-structural equation modeling) for Study 1 and a qualitative focus group discussion for Study 2. The qualitative segment enhances the comprehension and interpretation of outcomes derived from the quantitative analysis.

Study 1 identified six crucial factors in cryptocurrency adoption: trust, personal innovation, hedonic motivation, social influence, safety and a positive attitude. Perceived ease of use, price value and satisfaction were non-significant. Study 2 elaborates on the findings, and highlights the reasons for the insignificant factors.

This research contributes to theoretical knowledge by empirically testing established technology acceptance theories like UTAUT/2 and TAM in the context of retail cryptocurrency adoption. It introduces previously unexplored factors, such as personal innovativeness, hedonic motivation and safety/reliability, enriching the theoretical landscape.

This study provides practical insights for cryptocurrency stakeholders, including government, regulators, consumers, businesses and the financial sector, regarding retailers' intentions to adopt cryptocurrencies in North Cyprus.

This study can enhance understanding of factors facilitating cryptocurrency integration into mainstream retail, potentially reshaping traditional finance. Economically, adoption can boost financial inclusion, offering efficient transaction methods. This transition may disrupt existing economic models, drive payment technology innovation and change consumer behavior toward digital assets.

This study stands out by using a mixed-method approach to comprehensively examine cryptocurrency adoption by offline retailers, considering various factors and providing a holistic perspective, unlike previous research that often focused on specific user groups.

The study aims to explore dynamic capabilities such as innovation, entrepreneurial leadership, absorptive capability, and the dimension of entrepreneurial orientation in the handicraft sector to enhance supply chain resilience and innovation during unprecedented times. This study also used innovation as a mediating construct and supply chain orientation as a moderating construct.

We gathered data from the handicraft sector in the Uttar Pradesh (UP) in India using a pretested questionnaire. We used variance-based partial least squares structural equation modelling (PLS-SEM) to test our research hypotheses.

Our study indicates that to enhance innovation and improve supply chain resilience, firms should focus on developing dynamic capabilities such as entrepreneurial leadership, absorptive capacity, artificial intelligence (AI), innovativeness, risk-taking ability, and protectiveness. The study highlights the significant role of dynamic capabilities in the handicraft sector during times of crisis, enabling innovation and resilience to risk.

The study highlights the significant role of dynamic capabilities in the handicraft sector during times of crisis, enabling innovation and resilience to risk.

This study provides significant insights into the current understanding of dynamic capability theory and supply chain orientation and expands upon the existing literature in this field. It comprehensively analyses the latest research and advances knowledge in this area.

Globally, the halal cosmetics market is experiencing rapid growth and is considered a key economic driver in shaping economy development and growth. However, the extant research on halal cosmetics is fragmented, potentially impeding the field’s advancement when challenged with conflicting viewpoints and limited replications. Therefore, this paper aims to address the knowledge gap by conducting a rigorous and technology-enabled systematic review by leveraging appropriate software to comprehensively evaluate the state of the halal cosmetics literature.

A domain-based review using a hybrid approach that incorporates both bibliometric and interpretive analyses are used to comprehensively assess the current progress of halal cosmetics, identify research gaps and suggest potential directions for future research.

Through a comprehensive review of 66 articles, this review provides a holistic and comprehensive overview of halal cosmetics that both academic scholars and market practitioners can rely upon in strategizing and positioning for future development of halal cosmetics. The study provides a holistic and comprehensive overview of halal cosmetics that both academic scholars and market practitioners can reply upon in strategizing and positioning for future development of halal cosmetics.

The fragmented knowledge of extant research on halal cosmetics across various disciplines limits a comprehensive understanding of the field. It is opportune to conduct a comprehensive and systematic review of the field, providing insight into both its current and future progress. In this regard, this review serves as a “one-stop reference” in providing a state-of-the-art understanding of the field, and enables industry practitioners to reveal the full potential and bridge the theory-practice gap in the halal cosmetics industry.

At present, the adoption of cryptocurrency investment has brought consideration to the globe. The present paper attempts to investigate the intention to adopt cryptocurrency (IACR) among the potential investors of Pakistan.

The theory of planned behavior (TPB) is applied to underpin the conceptual framework. The study uses a quantitative approach. The study collects cross-sectional data through an online survey questionnaire. In the last, the authors utilized 334 samples for outcomes.

Findings of the SEM reveal a significant positive effect of attitude, subjective norms (SNs), perceived behavioral control (PBC) and trust on IACR.

The outcomes of an investigation would develop further intention and trust towards cryptocurrency adoption. The results would support developing favorable policies regarding the reduction of the ban on cryptocurrency in Pakistan to make easier transactions of the investors further. Possibly, it brings several opportunities in all segments of society in making the digital transaction modes through cryptocurrency. Finally, the findings would further validate the TPB in the context of cryptocurrency.

The study provides a better understanding of cryptocurrency and investors IACR. The empirical evidence further develops the other individuals' intentions towards cryptocurrency usage.

This study pioneers the investigation into the determinants influencing Malaysian investors' intentions towards Non-Fungible Token (NFT) investments, utilizing an extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework. It explores the burgeoning interest in NFTs within the Malaysian market, an emerging economy, and identifies the behavioral adoption determinants critical for NFT investment decisions.

Adopting a quantitative methodology, the research engaged 183 experienced Malaysian investors through a structured online questionnaire survey. The study employed regression analysis to assess the impact of Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Perceived Usefulness, Social Support and Perceived Trust on NFT investment intentions.

The findings reveal that Performance Expectancy and Social Support significantly predict the intention to invest in NFTs, accounting for 47% of the variance in investment intentions. The study highlights the crucial role of perceived benefits and community support in shaping Malaysian investors' engagement with NFTs, amidst the complexities of the digital asset landscape.

The study acknowledges the limitation posed by its sampling method and size, suggesting the need for broader investigations that include a more diverse demographic to enhance the generalizability of the findings. Future research could further delve into the specific behaviors, motivations and challenges of NFT investors and creators.

The significant predictive power of Performance Expectancy indicates a primary financial motivation among Malaysian NFT investors, suggesting policymakers consider regulations that foster innovation and growth in the NFT sector while safeguarding investors. The study also underscores the importance of community support, pointing towards the development of platforms that facilitate knowledge sharing among NFT enthusiasts.

By demonstrating the pivotal role of social support in the NFT investment decision-making process, the research implies a powerful sense of community among investors in the digital asset space. It suggests the potential of NFTs to foster a more inclusive and accessible market for creative industry entrepreneurs, facilitating direct engagement and profit realization.

This research marks a significant departure from existing studies by tailoring the UTAUT model specifically to the NFT investment context in Malaysia. It unveils the nuanced dynamics influencing NFT investment intentions, emphasizing the unique contributions of Performance Expectancy and Social Support, thus providing a fresh perspective on NFT adoption in emerging markets.