Search Results (66)

Projects continue to fail approximately half the time, both before and after the COVID-19 pandemic. While prior studies highlight the influence of project leadership and individual competencies, little is known about whether team members’ willingness to disclose past performance can improve team allocation decisions and enhance business process success. However, we do not know if team members’ willingness to disclose their past performance may improve teamwork allocation in projects, thereby increasing business process success while reducing the likelihood of the project failing. We applied a rigorous post-positivist research design using correlation, conditioned correlation, t-tests, and ordinary least squares (OLS) linear regression to test the hypotheses. Controlling established predictors including budget, end user community size, and certification, we found that team members’ willingness to share their past performance evaluations significantly improved project success, increasing explained variance from 9.6% to 18.8%. The results indicate that transparency factors—specifically, willingness to share past performance—outweigh traditional resource allocation variables in predicting Fintech project outcomes, explaining an additional 19% of the variance in project success. Full article

Ocean Literacy (OL) can be broadly defined as a framework for understanding the complex and evolving relationships between people and the ocean. It is increasingly recognized as a vital component of marine conservation and sustainability efforts. OL is inherently interdisciplinary, and psychology, while being a particularly relevant field, remains an underutilized field in this space. This paper demonstrates how psychological theories, frameworks, and validated measures can meaningfully inform OL strategies across its ten proposed dimensions: knowledge, awareness, attitudes, behavior, activism, communication, emotional connections, access and experience, adaptive capacity, and trust and transparency. Full article

This study aims to investigate the impact of digital transformation on corporate tax avoidance. In fact, this revolution has pervasively affected firms in different aspects and represents a significant opportunity to modernize their internal processes, bringing alongside a set of challenges that they must overcome. One hypothesis posits that digitalization enhances information transparency and internal control, reducing tax avoidance, while the other one suggests that the increase in digitalization leads to more complex and opaque transactions, leaving avenues for more aggressive tax strategies. This paper uses data of listed firms in the Casablanca Stock Exchange from 2020 to 2024, excluding the financial sector due to its specific tax regulation, leaving a final sample of 56 companies and 272 firm-year observations. It applies an OLS regression to assess the relation between the two variables, controlling for a set of firm and governance characteristics. The aim of the article is to address the scholarly debate by providing insights into an emerging economy where there is little research on the subject. The findings reveal that digital transformation contributes to the decrease in corporate tax avoidance in conjunction with governance variables like the presence of independent directors on the board and the duality of a CEO position, strongly supporting the first hypothesis. Notably, the OLS regression results show that an increase in digitalization by 1 point is associated with a decrease of 40.4755 in the book-tax differences, significant at the 5% level. The results provide high support for firms to invest in technologies in order to optimize their internal processes and improve their data quality; it also calls for tax authorities to strengthen their digital audit capacities and integrate data-driven tools to detect and interpret signals of potential tax-aggressive strategies. Full article

Emerging economies such as China have benefited from rapid growth but now face acute carbon risk amid worsening environmental conditions. Carbon-intensive firms—major emitters—face rising carbon risk that pervades operations and threatens efficient capital allocation. To advance global climate-change mitigation, help China meet its dual-carbon goals, and enhance corporate financial sustainability, we analyze panel data on 575 Chinese carbon-intensive companies from 2012 to 2022 and estimate OLS models to assess how carbon risk influences capital mismatch. Results show that higher carbon risk significantly widens capital mismatch, whereas higher media attention and better corporate governance each weaken this effect. These findings suggest that regulators and the media should monitor carbon-intensive firms more closely to improve information transparency and guide capital to its most productive uses, while firms themselves need to strengthen governance to limit the damage carbon risk inflicts on capital allocation. Full article

This study investigates the impact of outsiders’ demand for more information (or transparency) on corporate social responsibility (CSR) initiatives. Drawing on a dataset of U.S. companies from 2010 to 2023, CSR performance is measured using ASSET4 ratings, while CSR disclosure levels are captured through the number of words and sentences in reports. Utilizing within-industry and -firm OLS regressions, our analyses reveal a positive relationship between the demand for more information and future CSR investments, showing that firms with higher demand for information not only enhance their CSR performance but also expand the length of their CSR reports. These results suggest that increased pressures for information encourage organizations to engage more deeply with social responsibility, resulting in more robust CSR activities and more comprehensive reporting practices. This study contributes to the existing literature by highlighting the strong predictive role of outsiders’ demand for more information in promoting CSR investment and disclosure, and by offering important insights for policymakers and practitioners on fostering corporate responsibility through enhanced transparency. Full article

Technological advancements in algorithmic personalization are widely believed to influence user behavior on online gambling platforms. This study explores how such developments, potentially including AI-driven mechanisms, may affect cognitive and motivational processes, especially in relation to risk perception, decision-making, and betting persistence. Using ordinary least squares (OLS) and panel regression models applied to behavioral data from a gambling platform, we examine patterns that are consistent with increased personalization between two distinct time periods, 2016 and 2021. The datasets do not contain any direct metadata regarding AI interventions. However, we interpret changes in user behavior over time as indicative of evolving personalization dynamics within a broader technological and contextual landscape. Accordingly, our conclusions about algorithmic personalization are inferential and exploratory, drawn from temporal comparisons between 2016 and 2021. Our findings show that users receiving personalized bonuses or making early cash-out decisions tend to adjust their stake sizes and betting frequency in systematic ways, which may reflect indirect effects of technological reinforcement strategies. These behavioral patterns raise important ethical and regulatory questions, particularly regarding user autonomy, algorithmic transparency, and the protection of at-risk users. This research contributes to the literature on digital behavior influencing gambling by framing the analysis as observational and quasi-experimental and suggests that further studies use experimental and log-level data to more specifically analyze the algorithmic effects. However, no causal claims can be made about AI influence as the temporal contradictions are interpreted as broad phenomena of technological developments, since they are not measured as algorithmic interventions. Further studies should also investigate the development of predictive models aimed at countering gambling addiction; evaluate the long-term ethical implications of algorithmic personalization; and discuss potential solutions codeveloped to foster a responsible gambling climate. Full article

In the modern corporation, understanding sustainable cost management practices is essential for promoting economic resilience and resource efficiency. This study investigates how ownership structures influence the behavior of selling, and general and administrative (SG&A) costs during periods of sales fluctuations in South Korean firms, with particular attention to Chaebols. Drawing upon agency theory and corporate governance perspectives, we examine whether proxies for agency costs, namely, free cash flow, asset utilization ratios, and operating expense ratios, explain variations in SG&A cost responses to changes in revenue. Utilizing a panel dataset of 4279 firm-year observations from KOSPI-listed companies over the period 2011–2021, we employ Pooled Ordinary Least Squares (OLS), Fixed Effects, Random Effects, and Generalized Method of Moments (GMM) estimations to model SG&A cost behavior. The analysis incorporates regression-based interaction terms that capture asymmetric cost adjustments during sales declines, commonly referred to as cost stickiness. Our findings indicate that firms with concentrated ownership, such as Chaebols, exhibit significantly lower SG&A cost stickiness, reflecting stronger financial discipline and more efficient resource allocation. In contrast, firms with dispersed ownership demonstrate more pronounced cost stickiness, consistent with governance frictions and managerial discretion. These results emphasize the moderating role of ownership structure in cost behavior and highlight its implications for sustainable corporate governance. Our study contributes to the literature on cost management and financial sustainability by offering empirical insights from a distinctive institutional setting. Policy recommendations include enhancing internal controls, promoting transparent cost practices, and encouraging shareholder oversight to reinforce long-term efficiency. Full article

Climate change presents a critical challenge to achieving the 2030 Sustainable Development Goals (SDGs), particularly SDG 13 on Climate Action. This study examined the effect of corporate governance on carbon emission disclosure and carbon performance among 150 non-financial firms listed on the Indonesia Stock Exchange (IDX) from 2016 to 2022. Drawing on stakeholder, legitimacy, agency, and resource dependence theories, the study utilized panel data comprising 468 firm-year observations and employed ordinary least squares (OLS) regression to assess both direct and moderating effects. The findings indicate that governance attributes covering board size, board gender diversity, foreign ownership, and the presence of a CSR committee had a positive effect on carbon emission disclosure and carbon performance. Moreover, these governance factors enhanced the correlation between disclosure and performance, suggesting that robust governance could strengthen the environmental impact of transparency. However, board independence exhibited a negative or statistically insignificant effect, highlighting a potential disconnect between governance expectations and environmental oversight in emerging markets. Despite increasing awareness, the levels of carbon disclosure and performance in Indonesia remained low, averaging only 27.8% and 6.6%, respectively. This study provides policy recommendations to strengthen ESG regulations, encourages firms to institutionalize sustainability practices, and calls for cross-country comparative research to improve generalizability. Full article

Flexible transparent conductive electrodes, with high optical transmittance, electrical conductivity, and flexible stability, still challenge the commercial development of flexible organic light-emitting devices (OLEDs). In this work, a novel Ag-grid and Ag-nanowire (Ag-grid/AgNW) hybrid transparent conductive film was proposed with extraordinary optoelectronic and mechanical performance. The hybrid film exhibited a low resistivity of 9 Ω/sq and a high transparency of 67.9% at the wavelength of 550 nm, as well as outstanding mechanical robustness by surviving over 5000 bending cycles. By applying the proposed Ag-grid/AgNW hybrid electrode in flexible OLEDs, the electroluminescence performance, flexibility, and mechanical reliability of the devices were significantly improved. Full article

This study examines the direct and indirect effects of firm complexity on the accuracy of auditors’ going concern opinion (GCAO), and whether and how auditors’ work stress (AWS) can serve as a mediating variable in such a relationship. We analyzed a sample of 705 firm-year observations from 105 non-financial firms listed on the Egyptian Stock Exchange between 2017 and 2023. Binary logistic regression, OLS regression, and path analysis were employed to test the study hypotheses. The results suggested that firm complexity is negatively associated with GCAO accuracy but positively associated with AWS. Furthermore, a negative relationship was observed between AWS and GCAO accuracy. Finally, the analysis revealed that AWS mediates the relationship between firm complexity and GCAO accuracy. The findings remained robust across various sensitivity tests. Policymakers, audit firms, and investors can benefit from the findings, which emphasize the necessity of AWS mitigation techniques to improve GCAO accuracy and ultimately contribute to transparent financial reporting. This study provides unique evidence from a developing country on how firm complexity can indirectly impact the quality of auditors’ judgments. Full article

Autonomous vehicles (AVs) are expected to eventually replace traditional vehicles that require human drivers. In recent years, several AV manufacturers have begun on-road testing to validate the safety of these vehicles. California is one of the few states to permit such testing, regulating it through a permit system. To ensure transparency and public awareness, the state mandates that any licensed AV manufacturer conducting on-road tests report crashes involving AVs. This must be conducted using a standardized format known as OL316, a requirement that has been in place since late 2014. While previous research has explored AV crash data, most studies have focused on specific timeframes without covering the entire period since 2014. Moreover, converting the data from PDFs to machine-readable formats has often been a manual process, and the description text field in reports has rarely been fully analyzed. This article presents a comprehensive, machine-readable dataset of AV crashes from 2014 to September 2024, along with publicly available parsing code to streamline future data analysis. Additionally, we provide an updated statistical analysis of AV crashes during this period. Furthermore, we leverage Generative AI (GenAI) to analyze the description text field of the OL316 reports. This analysis identifies common crash scenarios, contributing factors, and additional insights into moderate and major incidents. The final dataset comprises 728 crash entries. Notably, only 2% of the crashes were categorized as major, while 14% were classified as moderate. Furthermore, 43% of the crashes occurred while the AV was stationary, whereas 55% took place while the AV was in motion. Our GenAI analysis indicates that, in many instances, human drivers of non-autonomous vehicles were at fault. Common causes include rear-end collisions due to insufficient following distances, traffic violations such as running red lights or stop signs, and reckless behaviors like lane boundary violations or speeding. Full article

Accurate and efficient measurement of deposited droplets’ volume is vital to achieve zero-defect manufacturing in inkjet printed organic light-emitting diode (OLED), but it remains a challenge due to droplets’ featurelessness. In our work, coherence scanning interferometry (CSI) is utilized to measure the volume. However, the CSI redundant sampling and image degradation led by the sample’s transparency decrease the efficiency and accuracy. Based on the prior degradation and strong representation for context, a novel method, volume measurement via fringe distribution module (VMFD), is proposed to directly measure the volume by single interferogram without redundant sampling. Firstly, the 3D point spread function (PSF) for CSI imaging is modeling to relate the degradation and image. Secondly, the Zernike to PSF (ZTP) module is proposed to efficiently compute the aberrations to PSF. Then, a physics aberration restoration network (PARN) is designed to remove the degradation via the channel Transformer and U-net architecture. The long term context is learned by PARN and beneficial to restoration. The restored fringes are used to measure the droplet’s volume by constrained regression network (CRN) module. Finally, the performances on public datasets and the volume measurement experiments show the promising deblurring, measurement precision and efficiency. Full article

Corporate social responsibility (CSR) is increasingly becoming a major concern for investors and consumers, prompting companies to devote more resources to community engagement to manage conflict and improve business performance. In this study, we conducted an empirical analysis with a sample of 385 listed companies in China’s new energy vehicle (NEV) industry to analyze the relationship between CSR performance and corporate value (CV). With the ordinary least squares (OLS) regression analysis, our study’s results show a positive relationship between the CSR performance of these companies and corporate value. In addition, our findings indicate a lagged effect in the relationship between CSR and CV. The mechanism analysis suggests that corporate CSR performance helps to improve corporate reputation, reduce financing constraints, and thus increase corporate value. Moreover, high analyst attention and information transparency can enhance the positive effects of corporate CSR. This study contributes to the existing literature and empirical evidence by exploring the correlation between CSR performance and firm value in the context of emerging countries and the NEV industry. Full article

Indium tin oxide (ITO) is a transparent conductive oxide (TCO) commonly used in the realization of optoelectronic devices needing at least a transparent electrode. In this work, ITO thin films were deposited on glass substrates by non-reactive RF magnetron sputtering, investigating the effects of power density, sputtering pressure, and substrate temperature on the electrical, optical, and structural properties of the as-grown films. High-quality films, in terms of crystallinity, transparency, and conductivity were obtained. The 120 nm thick ITO films grown at 225 °C under an argon pressure of 6.9 mbar and a sputtering power density of 2.19 W/cm² without post-annealing treatments in an oxidizing environment showed an optical transmittance near 90% at 550 nm and a resistivity of $2.10\times {10}^{-4}$ $\mathsf{\Omega }$ cm. This material was applied as the electrode of simple-structure organic light-emitting diodes (OLEDs). Full article

This paper investigates the relationship between a country’s political governance and financial market dynamics, with a specific focus on non-U.S. stocks listed on the NYSE. Utilizing an ordinary least squares (OLS) regression model with heteroscedasticity-robust (Huber–White) estimators, we analyze the impact of political governance on stock liquidity and information asymmetry. Our analysis shows that stocks from democracies demonstrate improved liquidity and decreased information asymmetry, contrasting with stocks from autocracies that exhibit the opposite trend. Furthermore, shifts in political regimes dynamically impact stock liquidity and information transparency. These findings offer essential insights for investors, policymakers, and regulators, contributing to informed decision making and the formulation of policies that promote market health and transparency. Additionally, these findings underscore the importance of promoting political stability and transparent governance to foster healthy and efficient financial markets. Full article