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The increasing awareness and adoption of technology, particularly artificial intelligence (AI), reshapes industries and daily life, fostering a proactive approach to risk management and leveraging advanced analytics, which may affect the stock price crash risk (SPCR). The main objective of the current study is to explore how AI adoption influences SPCR.

This study employs an Ordinary Least Squares (OLS) fixed-effect regression model to explore the impact of AI on SPCR in Chinese A-share listed companies from 2010 to 2020. Further, number of robustness analysis (2SLS, PSM and Sys-GMM) and channel analysis are used to validate the findings.

The primary findings emphasize that AI adoption significantly reduces SPCR likelihood. Further, channel analysis indicates that AI adoption enhances internal control quality, contributing to a reduction in firm SPCR. Additionally, the observed relationship is notably more pronounced in non-state-owned enterprises (non-SOEs) compared to state-owned enterprises (SOEs). Similarly, this distinction is heightened in nonforeign enterprises (non-FEs) as opposed to foreign enterprises (FEs). The study finding also supports the notion that financial analysts enhance transparency, reducing the SPCR. Moreover, the study results consistently align across different statistical methodologies, including 2SLS, PSM and Sys-GMM, employed to effectively address endogeneity concerns.

Our study stands out for its distinctive focus on the financial implications of AI adoption, particularly how it influences firm-level SPCR, an area that has been overlooked in previous research. Through the lens of information asymmetry theory, agency theory, and the economic implications of integrating AI into financial markets, our study makes a substantial contribution in mitigating SPCR.

This study underscores the pivotal role of AI adoption in influencing stock markets for enterprises in China. Embracing digital strategies, fostering transparency and prioritizing talent development are key for reaping substantial benefits. The study recommends regulatory bodies and service providers to promote AI adoption in strengthening financial supervision and ensure market stability, emphasizing the importance of investing in technologies and advancing talent development.

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.

This study examined the factors affecting university students' financial decisions in Pakistan.

Structural equation models were used to analyze data from 300 university students using a questionnaire. Students' financial decisions were used as the dependent variable, while financial literacy, money ethics, money attitude, time preference, financial experience, and financial specialization agents were the independent variables.

Resultantly, power, personal financial literacy, achievement, financial behavior, avoidance, reward for efforts, financial experience, financial attitude, financial socialization agents, and time preference influence the students' financial decisions.

The findings are useful for financial and educational institutions and policymakers who design academic courses.

This study measured the effects of several critical contextual areas regarding financial literacy and students' decisions in Pakistani universities.

Current research aims to investigate the relationships between Chinese national cultural values (uncertainty avoidance (UA), power distance, masculinity (MAS), individualism (IDV) and Confucian dynamism) and accounting practices (professionalism, uniformity, conservatism and secrecy).

A sample of 842 users/preparers of financial statements participated in this cross-sectional, questionnaire-based survey from China. Covariance-based structural equation modeling (CB-SEM) was used to test the proposed relationship.

Results show that cultural values strongly impact financial reporting practices in China. Chinese society is characterized by low UA, high power distance, collectivism, future orientation (Confucianism) and masculine traits. These values show an overall preference for uniformity, conservatism and secrecy in financial reporting with weak professionalism. The findings show that Chinese society emphasizes law abidance, strict codes of conduct, written rules and regulations and respect for consistent orthodox measures.

This study provides valuable input for policymakers in developing regulations and accounting standards in the Chinese market. Understanding the relationship between cultural dimensions and accounting values helps to address societal challenges and align policies with cultural values to acquire desired financial reporting values. Global firm managers must consider cultural dimensions in accounting when entering Chinese markets or negotiating with partners from different cultures. Findings also suggest local managers gain self-awareness of their cultural biases and accounting values, enabling them to navigate businesses and society's financial reporting needs.

This study enriches the existing literature on cultural and accounting practice studies by validating the role of stakeholder and social contract theories in Gray–Hofstede’s framework and highlighting the influence of dominant cultural values on accounting values. The study provides a unique empirical analysis of the Chinese market by using a questionnaire survey and structural equation modeling (SEM). Further, it also opens avenues for future research on the relationship between cultural dimensions, accounting practices and their global impact. These findings emphasize the importance of cultural sensitivity and adaptability, especially in multicultural environments.

This study investigates the influence of ownership composition on market-based and accounting-based financial performance in the European frontier markets (EFMs), a target region for global investors.

Ownership composition is defined as shareholders' concentration and structure (i.e. foreign, domestic, state and free-float), whereas financial performance is measured as Tobin's Q and return on assets. The system generalised method of moments panel data estimation technique is employed on a sample of 241 companies.

Findings reveal that companies from European Union (EU) frontier markets are controlled, on average, by one to five large shareholders. Being a signal of expropriation rationale of majority shareholders regardless of the capital structure, this highly concentrated ownership and decision-making model negatively affects the market-based and accounting-based financial performance of the companies and thereby supports the agency theory in the frontier markets.

The findings provide empirical evidence for authorities, investors, analysts and corporations regarding the effect of ownership percentage and structure in the Eastern European region, assisting also other frontier and emerging markets in corporate governance and other regulatory decisions.

The ownership–performance relationship varies from developed to emerging markets with conflicting results. This study provides evidence on monitoring and expropriation effects of majority shareholders in the context of different categories of shareholders. In doing so, it combines the analysis of both ownership concentration and structure in the EFMs.

Executive decisions regarding capital financing are an important management aspect, especially during financing constraints and growth opportunities. The current study examines the impact of managerial skills of a company on capital financing decisions. Furthermore, it analyzed this nexus in financing constraints and growth opportunity situations.

The authors use the GMM (generalized method of moments) estimation approach on a dataset of 20,651 firm-year observations of Chinese A-share companies from 2010 to 2019.

The authors’ findings are compatible with management signaling and reputation enhancement theories, since they show that managerial skill is connected with more substantial debt financing. Managers with high management skills are likely to have more debt financing as they can foresee the economic future of their companies and tactfully convey private information, lowering information inequality and enhancing their reputation. Furthermore, the authors also show that firms with restricted financial resources and growth opportunities make this relationship stronger. Capital structure and managerial skill findings are unaffected by alternative specifications, omitted factors, industry group bias and endogeneity.

This study sheds fresh light on the essential manager personality trait of managing ability and how it influences complicated corporate decision-making, particularly in the tough environment due to financing constraints and competitive growth. The authors argue that high-ability managers are compelled to use debt financing not only to lessen information asymmetry but also to guarantee that the market finds their superior ability. This work contributes significantly to the managerial ability literature and the capital structure literature supporting signaling theory.

The purpose of this study is to explore the underlying assumption that macroeconomic factors (legal, cultural, social, financial and/or economic) might support or constrain countries’ decisions to timely and fully transpose the Directive 2014/95/EU (EUD) on non-financial information disclosure.

The research design relies mainly on exploratory factors analysis, regression techniques (linear, logistic and multinomial) and additional robustness and sensitivity tests, all performed to ensure the reliability and trustworthiness of the results.

The results reveal that the directive’s transposition process is driven more by regulatory and social legitimisation forces than by economic and financial pressures. Stronger governance and weaker interests’ protection ensure appropriate compliance with new regulations, while highly educated countries express openness towards developing accounting systems that enhance information transparency.

The results are useful for practitioners currently engaged in the directive’s implementation process, academics interested in challenging debates concerning this topic and regulatory bodies to better support its full enactment.

This paper approaches the newsworthy topic of non-financial information disclosure settled by the EUD and marks an essential step towards harmonising non-financial reporting across Europe. It enriches the scientific literature through the first empirical analysis that sheds light on its explanatory drivers.

The paper aims to review prior literature on the impact of audit quality and climate change reporting on corporate performance. It also aims to offer avenues for future research.

Based on the systematic literature review, bibliometric investigation and forest plot, the authors systematized the scientific knowledge from 183 papers.

Earlier studies either focused on audit quality and corporate performance or discussed the link between climate change and corporate performance. However, the way that audit quality and climate change can together influence corporate performance is yet to be examined. The authors fill the gap by examining the possible link between audit quality and climate change and establishing the influence of it on corporate performance from the existing literature.

Because of the immense importance of the company's contribution to climate change, the research findings will open up avenues for future research. In addition, findings will be useful for world policymakers in strengthening or modifying existing corporate responsibility policies.

This study aims to explore the connection between sustainability and non-financial reporting (NFR) settled by the Directive 2014/95/EU, aiming to shed light on how institutional isomorphic pressures (mimetic, coercive and normative) are expressed in terms of sustainability issues influenced its enactment at the European Union (EU) level.

Empirically, the contribution of this study relied on the complexity of the research design that uses the same statistical methods and techniques (e.g. principal component analysis, correlation and regression analysis) within two stages of analysis (main and robustness) to increase the trustworthy of the results reached.

The results reveal that countries with sound sustainable management pillars (economic, environmental and social) and development goals promoting economic prosperity, environmental protection and societal well-being (prosperity, planet and people) are more likely to bring active support in enhancing NFR by regulating its framework.

The empirical nature of the research left space for some limitations, as long as it relied on country-level data, thus being quite challenging to gauge the commitment to harmonization with the new Directive. Moreover, the model’s explanatory power remains questionable, as the explanatory variables might be measured differently in the model specifications.

The study addresses academia/regulators/practitioners by ascertaining their potential to better understand/promote/apply the new Directive. Thus, each could support the steps toward standardized sustainability reporting by keeping up to date with the latest improvements/addressing cross-country inconsistencies in the transposition/managing future implementation in a more effective and accountable way.

This paper approaches the harmonization process of NFR across Europe in connection with sustainability issues, grounding on institutional isomorphism. Thus, it fills an existing literature gap, as research studies approaching the new Directive from the institutional theory’s perspective are still scarce and focused on particular countries.

Health fitness has become a major issue in Malaysia since the population of overweight and obesity is becoming critical. One of the ways to achieve optimum health fitness is by consistently consuming balanced diet meals. Hence, this paper aims to focus on the willingness of society to purchase functional foods as an alternative for their daily meals to stay fit.

The research framework was developed based on a combination of findings by other research scholars within a similar field. The willingness to purchase functional foods to stay fit is positioned as the dependent variable, while lifestyle adaptation, social media influence and food consumption awareness are placed as the independent variables. Quantitative research was conducted by collecting primary data from respondents in Kuala Lumpur, Malaysia. The collected data were analysed using descriptive and regression analyses.

The willingness to purchase functional foods to stay fit is dependent on the lifestyle adaptation, social media influence and food consumption awareness.

Although the current market for functional foods in Malaysia is still at a small scale, the market for this industry seems very promising. Nevertheless, greater awareness on functional food is still needed.

Functional food producers should make an effort to gain the untapped market by focussing on the lifestyle adaptation, social media influence and food consumption awareness.

This research is a breakthrough to discover the willingness of Malaysians to purchase functional food to stay fit, which is influenced by lifestyle adaptation, social media and food consumption awareness.