Search Results (76)

This study explores the key factors driving corporate social responsibility disclosure (CSR_DISC) by Takaful insurance companies (TKIs) in Saudi Arabia during and after the COVID-19 pandemic. We use content analysis and follow an unweighted scoring method to score the CSR_DISC index. Based on a sample of 26 Saudi-listed TKIs, for the period 2020–2024, we employ Poisson panel and negative binomial panel models to examine the interdependent relationships between CSR_DISCs and a set of corporate governance factors. We find that Saudi TKIs increased their CSR_DISCs in their financial reporting during and after the COVID-19 crisis. These findings confirm that board and firm size have a significant and negative effect on corporate CSR_DISC. However, the number of independent board members and female directors positively affect the extent of CSR_DISCs. Finally, the size of the audit committee and the Shariah supervisory board, frequency of board meetings, and profitability do not affect CSR_DISCs. Full article

The COVID-19 pandemic had a significant impact on the economy and the stability of financial markets, creating challenges and financial risks for companies. This study analyzes the financial reports of companies listed on Euronext Lisbon with the aim of examining financial risk disclosures and calculating their determinants. For this purpose, data was collected from the Euronext Lisbon website as well as the companies’ own websites. Once the data were gathered, 16 companies were analyzed over a five-year period, from 2018 to 2022. Using panel data regression techniques (e.g., fixed effects regression models), it was observed that profitability, capital structure, and size have a positive but not statistically significant relationship with interest risk. Conversely, size and capital structure they have a positive and significant relationship with liquidity risk. Profitability has a positive and significant relationship with insolvency risk. Macroeconomic variables do not exhibit consistent signs across all models. This research provides insights into how the determinants of financial risks influence risks during a pandemic period. Full article

Background/Objectives: Individuals with Crohn’s disease often experience challenges at work and are confronted with the decision of whether to disclose their health status in their workplace. This study explores the disclosure of Crohn’s disease in the workplace and the factors influencing their choices among individuals in Greece. Methods: The study examined how demographic characteristics affected the disclosure of a non-visible disability, the reasons behind the disclosure, and the associated experiences. Results: The sample consisted of 152 individuals with Crohn’s disease. Although 52.6% of participants had disclosed their condition, the results show that factors like health benefits, the impact of COVID-19, and necessary workplace accommodations influenced disclosure decisions. On the other hand, 47.3% chose not to disclose their condition, the predominant reason being the fear of being fired or not being hired. Conclusions: The findings imply that workplace cultures and policies that foster inclusive, supportive environments are necessary to allow employees with non-visible disabilities to request the accommodations they require without worrying about the consequences. Future research could focus on a deeper understanding of the disclosure issues for people with Crohn’s disease and other non-visible disabilities. Full article

In this study, we identified firms receiving COVID-19-related audit report disclosures through critical audit matter (CAM) mentions of COVID-19 in their audit reports. Through OLS regressions, we then investigated the fundamental accounting and auditing determinants that predict the likelihood of firms to receive these COVID-19-related disclosures, and found that firms with intangibles and goodwill were more likely to have these mentioned in their audit reports. Next, we examined the content of these disclosures and found that auditors’ COVID-19 disclosures focused on significant accounting estimates (e.g., fair value accounting and asset impairment considerations). These results are consistent with the idea that COVID-19-related uncertainty represented a triggering event to firms, who then reassessed the carrying value of these long-term assets. After exploring the spillover effects to outsiders, we found that investors obtained a 7.3 basis point for abnormal returns following COVID-19 report disclosures and that auditors were able to charge these firms USD 452,000 higher audit fees relative to benchmark firms. The results are also consistent in entropy-balanced estimations and two-stage analyses that address endogeneity. Full article

This study explores the influence of risk disclosure levels and types on the readability of annual reports of non-financial firms in the UK during the COVID-19 outbreak. It further investigates how the disclosure of COVID-19-related information moderates the relationship between risk disclosure and readability. The study uses a content analysis approach and CFIE software to measure the level of risk disclosure and readability in the annual reports of non-financial firms listed on the FTSE all-share from 2019 to 2021. The results show a positive and significant effect of risk disclosure level on readability, which is stronger for firms that disclosed COVID-19 information. Different types of risk disclosure have varying effects on readability, with COVID-19 risk, credit risk, and strategic risk positively affecting readability, while operational risk negatively affects it. The study contributes to the literature on information asymmetry and institutional theory by demonstrating how risk disclosure and readability are influenced by external factors like the COVID-19 outbreak and internal factors such as firm characteristics and types of risks. It introduces a new risk definition and category specific to the COVID-19 pandemic and develops new measurements for risk disclosure, including credit, liquidity, market, operational, business, strategic, and COVID-19 risks. The study provides valuable insights for managers, investors, regulators, and standard setters on the relationship between risk disclosure and readability in annual reports. It highlights the importance of disclosing COVID-19-related information to enhance the readability and understandability of financial communication. The paper contributes to the literature and practice on risk disclosure, readability, and financial communication during crises. Full article

This paper examines the impact of family ownership and supervisory board characteristics on carbon emission disclosure. It uses balanced panel data and a matched-pair design of 124 non-financial firms listed on the Indonesia Stock Exchange from 2017 to 2019. This study finds that family firms and larger boards improve, while female board members harm carbon emission performance. Further analyses reveal non-linear relationships between family ownership and carbon performance. When control rights are limited, family firms prioritize controlling managers and improving carbon quality. Conversely, they prioritize personal objectives over environmental concerns when there are high control rights, resulting in decreased carbon emission performance. Additionally, family board members generate more carbon information, indicating the family owners effectively utilize their position on the supervisory boards to influence the company’s carbon emission performance. Finally, the study reports that more faculty member boards seem to hurt carbon emission reduction efforts. This result suggests that the diversity of their professional experiences does not affect the environmental effectiveness of supervisory boards. Our findings highlight the importance of understanding SEW principles and their connection to families in comprehending Indonesian corporate carbon emissions disclosures. The findings of this study enrich the worldwide literature by exploring the potential benefits of family business environmental performance. This study also adds to the literature on corporate governance, especially the role played by supervisory boards. Our findings align with the resource dependence theory, emphasizing the central function of supervisory boards as a monitoring tool. This study is constrained by its reliance on carbon emission data extracted from the annual reports of public firms, with a particular emphasis on pre-COVID-19 data. Future research should focus on sustainability reports and explore the time frame encompassing COVID-19 (2020–2022 datasets) to determine any differences in the findings. Full article

Contact tracing is a method used to control the spread of a pandemic. The objectives of this research are to conduct an empirical review and content analysis to identify the environmental factors causing the spread of the pandemic and to propose an ontology-based big data architecture to collect these factors for prediction. No research studies these factors as a whole in pandemic prediction. The research method used was an empirical study and content analysis. The keywords contact tracking, pandemic spread, fear, hygiene measures, government policy, prevention programs, pandemic programs, information disclosure, pandemic economics, and COVID-19 were used to archive studies on the pandemic spread from 2019 to 2022 in the EBSCOHost databases (e.g., Medline, ERIC, Library Information Science & Technology, etc.). The results showed that only 84 of the 588 archived studies were relevant. The risk perception of the pandemic (n = 14), hygiene behavior (n = 7), culture (n = 12), and attitudes of government policies on pandemic prevention (n = 25), education programs (n = 2), business restrictions (n = 2), technology infrastructure, and multimedia usage (n = 24) were the major environmental factors influencing public behavior of pandemic prevention. An ontology-based big data architecture is proposed to collect these factors for building the spread prediction model. The new method overcomes the limitation of traditional pandemic prediction model such as Susceptible-Exposed-Infected-Recovered (SEIR) that only uses time series to predict epidemic trend. The big data architecture allows multi-dimension data and modern AI methods to be used to train the contagion scenarios for spread prediction. It helps policymakers to plan pandemic prevention programs. Full article

Recently, as the non-face-to-face society persists due to the coronavirus (COVID-19), the Internet usage rate continues to increase, and input devices, such as keyboards and mice, are mainly used to authenticate users in non-face-to-face environments. Due to the nature of the non-face-to-face environment, important personal data are processed, and since these personal data include authentication information, it is very important to protect them. As such, personal information, including authentication information, is entered mainly from the keyboard, and attackers use attack tools, such as keyloggers, to steal keyboard data in order to grab sensitive user information. Therefore, to prevent disclosure of sensitive keyboard input, various image-based user authentication technologies have emerged that allow sensitive information, such as authentication information, to be entered via mouse. To address mouse data stealing vulnerabilities via GetCursorPos() function or WM_INPUT message, which are representative mouse data attack techniques, a mouse data defense technique has emerged that prevents attackers from classifying real mouse data and fake mouse data by the defender generating fake mouse data. In this paper, we propose a mouse data attack technique using machine learning against a mouse data defense technique using the WM_INPUT message. The proposed technique uses machine learning models to classify fake mouse data and real mouse data in a scenario where the mouse data defense technique, utilizing the WM_INPUT message in image-based user authentication, is deployed. This approach is verified through experiments designed to assess its effectiveness in preventing the theft of real mouse data, which constitute the user’s authentication information. For verification purposes, a mouse data attack system was configured, and datasets for machine learning were established by collecting mouse data from the configured attack system. To enhance the performance of machine learning classification, evaluations were conducted based on data organized according to various machine learning models, datasets, features, and generation cycles. The results, highlighting the highest performance in terms of features and datasets were derived. If the mouse data attack technique proposed in this paper is used, attackers can potentially steal the user’s authentication information from various websites or services, including software, systems, and servers that rely on authentication information. It is anticipated that attackers may exploit the stolen authentication information for additional damages, such as voice phishing. In the future, we plan to conduct research on defense techniques aimed at securely protecting mouse data, even if the mouse data attack technique proposed in this paper is attempted. Full article

We aim to map the ESG patterns of emerging-market companies from 2018 to 2021 in order to determine whether the COVID-19 pandemic exerted any influence on sustainable corporate behavior. Thus, the ESG performances were assessed by employing the Kohonen Self-Organizing Map (also known as the Kohonen neural network) for clustering purposes at three levels: (i) ESG overall, including country and sectoral perspectives; (ii) ESG thematic; and (iii) ESG four-folded (stakeholder, perspective, management, and focus strategic views). Our results show that emerging-market companies focus their ESG efforts on social and governance issues rather than on environmental. However, environmental and social behavior differ more acutely than governance behavior across clusters. The analyses of country-level ESG performance and that of eleven market-based economic sectors corroborate the geographic and sector dependence of ESG performance. The thematic-level analysis indicates that operational activities and community issues received more attention, which suggests that emerging-market companies address distinct ESG topics according to their particularities and competitiveness. Furthermore, our empirical findings provide evidence that the ESG behavior of companies has changed over the course of the COVID-19 pandemic. Thus, our findings are relevant to policy makers involved in regulating ESG disclosure practices, investors focused on enhancing their sustainable investment strategies, and firms engaged in improving their ESG involvement. Full article

The Coronavirus disease 2019 (COVID-19) pandemic caused by Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) is an ongoing threat to global public health. To this end, intense efforts are underway to develop reagents to aid in diagnostics, enhance preventative measures, and provide therapeutics for managing COVID-19. The recent emergence of SARS-CoV-2 Omicron variants with enhanced transmissibility, altered antigenicity, and significant escape of existing monoclonal antibodies and vaccines underlines the importance of the continued development of such agents. The SARS-CoV-2 spike protein and its receptor binding domain (RBD) are critical to viral attachment and host cell entry and are primary targets for antibodies elicited from both vaccination and natural infection. In this study, mice were immunized with two synthetic peptides (Pep 1 and Pep 2) within the RBD of the original Wuhan SARS-CoV-2, as well as the whole RBD as a recombinant protein (rRBD). Hybridomas were generated, and a panel of three monoclonal antibodies, mAb CU-P1-1 against Pep 1, mAb CU-P2-20 against Pep 2, and mAb CU-28-24 against rRBD, was generated and further characterized. These mAbs were shown by ELISA to be specific for each immunogen/antigen. Monoclonal antibody CU-P1-1 has limited applicability other than in ELISA approaches and basic immunoblotting. Monoclonal antibody CU-P2-20 is shown to be favorable for ELISA, immunoblotting, and immunohistochemistry (IHC), however, not live virus neutralization. In contrast, mAb CU-28-24 is most effective at live virus neutralization as well as ELISA and IHC. Moreover, mAb CU-28-24 is active against rRBD proteins from Omicron variants BA.2 and BA.4.5 as determined by ELISA, suggesting this mAb may neutralize live virus of these variants. Each of the immunoglobulin genes has been sequenced using Next Generation Sequencing, which allows the expression of respective recombinant proteins, thereby eliminating the need for long-term hybridoma maintenance. The synthetic peptides and hybridomas/mAbs and quantitative antigen-binding data are under the intellectual property management of the Clemson University Research Foundation, and the three CDRs have been submitted as an invention disclosure for further patenting and commercialization. Full article

Earlier research has shown that the makeup of the corporate board is a crucial predictor in meeting stakeholder accountability expectations through voluntary Corporate Social Responsibility (CSR) disclosure. Though scholars have identified substantial relationships between board composition and CSR disclosure, the majority of their focus has been on the ‘quantity’ of CSR disclosure rather than the ‘quality’. Therefore, the present study considers the association of board characteristics (such as gender diversity, independence, female chairperson or/and female CEO, and board size) and the quality of CSR disclosure of the top 100 Pakistan Stock Exchange (PSX)-listed companies. We conducted content analysis of secondary Corporate Governance (CG) and CSR data extracted from the annual reports of PSX-listed companies across ten industrial sectors from the period 2017 to 2018. Our empirical investigation through univariate and multiple regression analysis with ordinary least squares (OLS) techniques revealed that all the board characteristics potentially had a significant association to lower CSR disclosure quality. Using the 2SLS regression model, we addressed the endogeneity issue of board characteristics and found robust results. One of the important implications of our findings is that policymakers and regulators in developing countries like Pakistan should review the value of board qualities as outlined in CG principles and develop stronger mechanisms to improve numbers of female directors and nonexecutive directors’ independence. We acknowledge several research limitations, including the study time period and selected board characteristics. While our study has provided some understanding of the association of board characteristics with CSR disclosure quality of PSX-listed companies, several research gaps still need to be addressed. Future investigators should examine this association through the pre-COVID-19 and post-COVID-19 contexts and the inclusion of a systems theory perspective. Full article

The recent COVID-19 pandemic situation highlights the importance of digital vaccine certificates. In response, the European Union (EU) developed EU Digital Vaccine Certificates to enable proof of non-infectivity and completed vaccinations. However, these solutions suffer from several shortcomings, such as ineffective certificate holder identification and a high violation of user privacy with the disclosure of sensitive information. In this work, we present a novel solution for privacy-preserving EU Digital Vaccine Certificates. Our solution solves the aforementioned privacy and security shortcomings and is in line with current EU legislation, i.e., the General Data Protection Regulation (GDPR), the upcoming revision of the electronic IDentification, Authentication, and trust Services (eIDAS), called regulation eIDAS 2.0, and the new tools that it envisages to be led by European digital identity. This identity is intended to allow citizens to prove their identity to access online services, share digital documents, or simply prove specific personal characteristics such as age without revealing their identity or other personal information. The core of our proposal is built on our novel attribute-based credential scheme, which can be easily implemented on various handheld devices, especially on Android smartphones and smartwatches. However, due to the lightweight nature of our scheme, it can also be implemented on constrained devices such as smart cards. In order to demonstrate the security, privacy, and practicality inherent in our proposal, we provide the security analysis of the cryptographic core along with a set of experimental results conducted on smartphones and smart cards. Full article

During the Coronavirus disease 2019 pandemic, several studies were conducted on mental health among various populations; however, only a few studies have focused on post-traumatic growth (PTG) in nursing students. By understanding the PTG involved in coping with emotionally challenging situations, educators, and institutions can prepare nursing students to navigate the demands of their profession and ultimately provide more empathetic and effective patient care. This study aimed to explore whether self-reflection and emotional self-disclosure are associated with PTG. A total of 195 nursing students completed the self-report questionnaire. This study used standardized instruments, including the self-reflection scale, emotional self-disclosure, and the Posttraumatic Growth Inventory (PTGI). Data were analyzed using descriptive statistics, a t-test, Pearson’s correlation coefficient, and hierarchical regression analysis using the SPSS/WIN 25.0 program. The factors influencing PTG included self-reflection (β = 0.36; p < 0.001), emotional self-disclosure (β = 0.24; p < 0.001), grade (β = −0.18; p = 0.008), and religion (β = −0.15; p = 0.013). The explanatory power of these four factors was 31.4%, and self-reflection was found to have the greatest influence on PTG. The results indicated the need for self-reflection and emotional self-disclosure promotion programs to improve PTG, especially for senior and non-religious students. Full article

In recent decades, sustainability reporting has received increasing business and academic attention. However, the management literature is limited regarding recent trends in the issues disclosed in these reports. In this era of multiple socio-economic crises (e.g., the global energy crisis, the Russo–Ukrainian war, and the COVID-19 pandemic), large companies have an even greater responsibility to the communities in which they operate. Given the above, the aim of this study was to examine recent sustainability reports and identify issues related to community impact. Specifically, the sustainability reports of S&P500 companies were analyzed using the Structural Topic Model in R. The results showed that the most common topics in sustainability disclosures related to community impact were “donations” and “STEM education”. Although “donations” as a topic was expected, “STEM education” emerged to highlight the importance of technology in today’s business world. These findings have important managerial and theoretical implications for sustainability reporting. Full article

This study presents the results of sustainability reporting investigations in the context of the COVID-19 pandemic. It is based on a content analysis of 297 reports published by 161 companies operating in Poland in the 2020–2021 period. This study covers specific disclosures on the impact of the pandemic on economic conditions and business activity of companies, corporate environmental performance, the safety and well-being of employees, and companies’ community and stakeholder engagement. Moreover, an analysis is conducted of disclosures on changes in business strategies and environmental activities undertaken to respond to the pandemic, initiatives improving the safety and well-being of employees, and companies’ social involvement during the COVID-19 crisis. Our study demonstrates that ensuring the safety and well-being of employees was the highest priority in the analyzed sustainability reports. Furthermore, the investigated companies exerted considerable efforts to harmonize adverse economic challenges created by the pandemic with altruistic actions manifested in active and wide-ranging social involvement addressed to local communities and primary stakeholders during the period under analysis. We believe that our study offers intriguing insights into disclosures on sustainability issues during the COVID-19 pandemic and addresses the call for research on the sustainability initiatives that emerged during that time to help companies remain resilient and sustainable. Full article