Search results

The study aims to empirically investigate whether the disclosure of Sustainable Development Goals (SDGs) affects the level of integrated thinking and reporting (ITR) on a sample of European listed companies.

The sample focusses on companies listed to the STOXX Europe 600 Index. Data have been gathered from Refinitiv DataStream for the period 2019–2020 for the measures of ITR level and SDG disclosure. Then, a multivariate regression analysis is developed to test whether or not, and if so, to what extent, SDG disclosure affects the level of ITR.

SDG disclosure has been increased over time and companies have primarily focussed on SDG 8, SDG12 and SDG 13 demonstrating their awareness on sustainability issues close to the core business and on the climate urgency. Furthermore, SDG disclosure leads to a higher level of ITR meaning that SDG disclosure is an important pillar contributing to ITR.

The empirical analysis has not deeply investigated each component of ITR and SDG disclosure.

The research can be useful for companies aiming to improve their commitment towards the SDG implementation with an integrated approach. Moreover, the study sheds light on the importance of the SDG disclosure as a determinant of ITR.

The research contributes to literature in the stream of sustainability accounting, by adding new insights on ITR linked to SDG disclosure. To the best of the authors’ knowledge, the originality of the study lies in the inclusion of SDG disclosure as a determinant for ITR that has not been analysed by academics yet.

The phenomenal proliferation of crowdfunding platforms raises concerns on the heightened occurrence of financial crimes since billions of funds are exchanged through these online systems frequently. Accordingly, some countries have implemented legislative responses to address these risks, although each countries’ laws have varying degrees of severity. Hence, the purpose of this study is to assess the efficiency and robustness of Mauritian laws to combat financial crimes that may arise from a crowdfunding transaction with a particular emphasis on money laundering and tax evasion.

To achieve this research objective, the black letter approach was used to analyse Mauritian rules and regulations on the researched topic and a comparative analysis was carried out against the corresponding laws on crowdfunding in some other jurisdictions, notably the UK and the USA with the view of suggesting the policy recommendations to Mauritian authorities.

It was found that there is still scope for improving the existing legal and regulatory framework on crowdfunding in Mauritius to prevent instances of money laundering and tax evasion. The paper suggests that a crowdfunding operator must be categorised as a reporting person and must carry out regular due diligence checks. There must also be more collaboration in terms of information exchanges and training sessions among the tax authority of Mauritius, crowdfunding operators, fund seekers and investors to shed light on the tax treatment of income and deductions to avoid issues of tax evasion.

At present, to the best of the authors’ knowledge, this study is amongst the first academic writings on the efficiency of Mauritian laws in dealing with the risk of financial crimes through crowdfunding, and also, because existing literature is quite scarce on assessing the adequacy of crowdfunding rules in developing countries, this research aims at filling in the gap in literature. The study is carried out with the aim of combining a large amount of empirical, theoretical and factual information that can be of use to various stakeholders and not only to academics.

Coronavirus disease 2019 (COVID-19) pandemic has led to unprecedented mental health repercussions in the lives of every individual including university students. Therefore, study on students’ psychological state and its associated factors during the pandemic are of importance. This study aims to discuss the aforementioned issue.

An online survey was done on a total of 207 university students of Pakistan to collect information on socio-demographic characteristics, concerns or fears amidst COVID-19 and mental distress. Validated tools; Perceived Stress Scale (PSS), Generalized Anxiety Disorder Scale (GAD-7) and Patient Health Questionnaire (PHQ-9)-Depression were used to assess stress, anxiety and depression, respectively.

Around 14% of the university students were experiencing severe stress and anxiety, while 8.2% had severe depression. The authors found that stress among university students was related to psychiatric illness or symptoms (OR = 5.1: 1.1, 22.9) and unpredictability due to the pandemic (OR = 3.7: 1.2, 11.2). The significant determinants of anxiety were psychiatric illness/symptoms (OR = 6.6: 3.4, 12.9), implementation of public health measures (OR = 3.7: 1.1, 11.6), employed mothers (OR = 2.4: 1.1, 5.0) and lack of support from university administration (OR = 2.2: 1.0, 5.0). While the factors associated with depression included psychiatric illness or symptoms (OR = 8.4: 3.3, 21.5), unpredictability due to pandemic (OR = 6.8: 2.2, 20.7), impaired social support system (OR = 3.7: 1.3, 10.4) and studying without a scholarship (OR = 2.1: 1.0, 4.4).

These findings call for an urgent need to develop appropriate interventions and educational programs that could address the psychological needs of students.

The study directs the role of university and faculty in dealing the mental health needs of the student in COVID-19 pandemic time.

Educational programs are important that could address the psychological needs of students in COVID-19 pandemic.

University students reported mental distress during COVID-19 pandemic which shows that younger people are at risk of COVID-19 repercussions. Moreover, several stressors (i.e. impaired social support system and lack of support from universities) were revealed that could be mitigated by implementing appropriate strategies.

The financial world of today is evolving at a rate that can be challenging to keep up with and comprehend due to developments in information and communication technology. When compared to a conventional disclosure, the eXtensible Business Reporting Language (XBRL), which was named one of the top ten accounting technologies, has a clear advantage in reducing information asymmetry by providing interactive data disclosure. This study aims to examine whether forcing companies to adopt XBRL would cause them to prefer misclassifying income statement items as an alternative to more risky earnings management methods.

The study sample includes nonfinancial UAE companies listed on Dubai Financial Market and Abu Dhabi Securities Exchange from 2012 to 2019. Fixed effect and system General Method of Moments regressions were used to analyze the study data.

The study found that XBRL reporting resulted in lowering the quality of financial reporting as companies have a higher tendency to misclassify income statement items as earnings management mechanism.

The findings of this research can be used by stakeholders and practitioners in the UAE to better understand whether the use of XBRL is linked to the engagement of financial reporting manipulative practices. The findings of this study also inform policymakers and regulators about the consequences of companies formally adopting digital disclosure language in an effort to improve the quality of their reporting. Besides, the results offer guidance to regulators considering imposing XBRL usage regulations.

Limited number of studies have tested the association between XBRL mandatory adoption and misclassification of income statement items as an earnings management tool in the Gulf Cooperation Council region.

Emerging literature on fintech has shown that consumers have been slow to adopt fintech-based products and services. However, limited literature is available regarding the factors associated with consumers' adoption of these products and services. This study aims to investigate the factors that are associated with consumer adoption of fintech-based products and services.

Data on the usage and perception of smartphone financial apps by US residents ages 18–70 was collected in the fall of 2020. Based on the Extended Post-Acceptance Model (EPAM) framework, Structural Equation Modeling and Confirmatory Factor Analysis were applied to inspect how financial capability, perceived security and perceived usefulness affect fintech adoption.

Fintech proficiency, investment risk tolerance and perceived safety are positively associated with the frequency of fintech application use upon adoption. Consumers are more likely to feel safer if they are more financially capable and technologically proficient. Consumers with higher risk tolerance tend to believe fintech apps are safe to use. Consumers with higher fintech proficiency are more likely to recognize the usefulness of fintech services.

The study introduces a revised EPAM framework with antecedent factors, fintech proficiency and risk tolerance to investigate the factors associated with consumer adoption of fintech-based products and services. The key findings of this study validate the EPAM in the American context. Additionally, this research is among the first to have confirmed the direct relationship between perceived security and fintech adoption. The results have practical implications for existing fintech companies, banks and financial institutions, policymakers and financial advisory practices considering adopting fintech-based services for their clients.

Supply chain management (SCM)-embedded valuable resources, such as capital, raw-materials, products, partners, customers and finished inventories, where the evaluation of environmental texture and flexibilities are needed to perceive sustainability. The present study aims to identify and evaluate the directory of green and agile (G-A) attributes based on decision support framework (DSF) for identifying dominating measures in SCM.

DSF is developed by exploiting generalized interval valued trapezoidal fuzzy numbers (GIVTFNs). Two technical approaches, i.e. degree of similarity approach (DSA) and distance approach (DA) under the extent boundaries of GIVTFNs, are implicated for data analytics and for recognizing constructive G-A measures based on comparative study for robust decision. A fuzzy-based performance indicator, i.e. fuzzy performance important index (FPII), is presented to enumerate the weak and strong G-A characteristics to manage knowledge risks in allied business environment.

The modeling is illustrated from the insights of decision-makers for augmenting business value based on cognitive identification of measures, where the best performance score is identified by the “sustainable packaging” under the traits of green supply chain management (GSCM). “The use of Web-based applications” under the traits of agile supply chain management (ASCM) and “Outsourcing flexibility” under traits of ASCM is found as the second and third most significant performance characteristics for business sustainability. Additionally, the “Reutilization (recycling) and reprocessing” under GSCM in manufacturing and “Responsiveness and speed toward customers needs” under ASCM are found difficult in attainment.

The G-A evaluation will assist in attaining performance excellence in day-to-day operations and overall functioning. The outcomes will help executives to plan strategic objectives and attaining success.

To reinforce the capabilities of SCM, wide extent of G-A dimensions are presented, concept of FPII is reported to manage knowledge risks based on identification of strong attributes and two technical approaches, i.e. DSA and DA under GIVTFNs are presented for attaining robust decision and directing managerial decision-making process.

This paper aims to comprehensively analyze the factors influencing the adoption intentions of the digital rupee, a digital currency, among users in India.

Drawing upon the Technology Acceptance Model (TAM), the study examines the relationships between cognitive beliefs (perceived usefulness, perceived ease of use, perceived trust, perceived self-efficacy, perceived cost and awareness), affective belief (attitude) and adoption intention of the digital rupee. The study uses a structured questionnaire to collect primary data from 1,707 respondents, which are then analyzed using structural equation modeling.

The results indicate that perceived usefulness and perceived ease of use significantly impact users' attitudes toward the digital rupee, as well as their adoption intentions. The findings further reveal that perceived trust, perceived self-efficacy, and awareness positively influence attitude and adoption intention. On the other hand, perceived cost exhibits a negative effect on attitude and adoption intention. These results provide empirical evidence on the factors that shape users' attitudes and intentions toward adopting the digital rupee.

The research methodology used in this study ensures rigorous data collection and analysis. The structured questionnaire enabled the collection of detailed information from a large sample of respondents, allowing for robust statistical analysis. The utilization of structural equation modeling facilitated the examination of complex relationships among variables, enhancing the reliability and validity of the findings.

The study's findings offer practical guidance for policymakers, financial institutions and researchers in shaping digital currency regulatory frameworks, tailored financial services and further exploration of adoption dynamics.

The research has social implications by potentially influencing the way individuals and communities in India engage with digital currencies, impacting financial inclusion and digital economic participation.

This research contributes to the understanding of the adoption of digital currencies in India and provides valuable insights for policymakers, financial institutions and researchers in the field of digital finance and technology adoption.

The purpose of this study is to determine if blockchain-supported carbon offset information provision and shipping options with different cost and environmental footprint implications impact consumer perceptions toward retailers and logistics service providers. Blockchain and carbon neutrality, each can be expensive to adopt and complex to manage, thus getting the “truth” on decarbonization may require additional costs for consumers.

Experimental modeling is used to address these critical and emergent issues that influence practices across a set of supply chain actors. Three hypotheses relating to the relationship between blockchain-supported carbon offset information and consumer perceptions and intentions associated with the product and supply chain actors are investigated.

The results show that consumer confidence increases when supply chain carbon offset information has greater reliability, transparency and traceability as supported by blockchain technology. The authors also find that consumers who are provided visibility into various shipping options and the product's journey carbon emissions and offset – from a blockchain-supported system – they are more willing to pay a premium for both the product and shipping options. Blockchain-supported decarbonization information disclosure in the supply chain can lead to organizational legitimacy and financial gains in return.

Understanding consumer action and sustainable consumption is critical for organizations seeking carbon neutrality. Currently, the literature on this understanding from a consumer information provision is not well understood, especially with respect to blockchain-supported information transparency, visibility and reliability. Much of the blockchain literature focuses on the upstream. This study focuses more on consumer-level and downstream supply chain blockchain implications for organizations. The study provides a practical roadmap for considering levels of blockchain information activity and consumer interaction.

This study aims to investigate the mediation effects of employee voice and employee well-being on the relationship between relational leadership and organizational citizenship behavior.

This study used a Web-based survey method to collect data from 301 respondents in the four public hospitals of the Sekondi-Takoradi Metropolis. This study used PLS-SEM (WarpPLS) to test the study’s hypotheses.

The findings show that relational leadership has a positive impact on organizational citizenship behavior, and that this link is mediated in part by both employee voice and employee well-being.

This study demonstrates the importance of leaders, paying close attention to employees’ well-being and opinions when attempting to drive organizational citizenship behavior in the health sector.

Based on the review of the extant literature on the impact of leadership on employee behavior and to the best of the authors’ knowledge, it is likely that this study will be the first to show how relational leadership, employee voice, employee well-being and organizational citizenship behavior are related in the health sector, thereby advancing the thrusts of the social exchange and relational leadership theories.

The study aims to promote the use of qualitative methods in service research by investigating how these methods are reported in service journals, how the level of reporting has evolved and whether methodological reporting influences the downloads or citations received by qualitative articles.

Methodological reporting practices were identified through content analysis of 318 qualitative articles published in three major service research journals and comparison with prior methodological literature. Regression analysis was used to test how the level of methodological reporting influences article downloads and citations.

The study identifies 29 reporting practices related to 9 key methodological reporting areas. The overall level of methodological reporting in published qualitative articles has increased over time. While differences in the level of reporting between service journals persist, they are narrowing. The level of methodological reporting did not influence downloads or citations of qualitative articles.

Service scholars using qualitative methods should pay attention to methodological reporting as it can improve the chances of being published. Factors such as theoretical contributions are likely to have a greater influence on article impact than methodological reporting.

No prior study has explored methodological reporting practices across different qualitative methodologies or how reporting influences article impact. For authors, reviewers and editors, the study provides an inventory of reporting practices relevant for evaluating qualitative articles, which should lower barriers for qualitative methods in service research by providing practical guidelines on what to focus on when reporting and assessing qualitative research.