Shuangyan Li, Muhammad Waleed Younas, Umer Sahil Maqsood and R. M. Ammar Zahid
The increasing awareness and adoption of technology, particularly artificial intelligence (AI), reshapes industries and daily life, fostering a proactive approach to risk…
Abstract
Purpose
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.
Design/methodology/approach
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.
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.
Research limitations/implications
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.
Originality/value
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.
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Muzammil Khurshid, R.M. Ammar Zahid and Meher Un Nisa
This study examined the factors affecting university students' financial decisions in Pakistan.
Abstract
Purpose
This study examined the factors affecting university students' financial decisions in Pakistan.
Design/methodology/approach
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.
Findings
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.
Practical implications
The findings are useful for financial and educational institutions and policymakers who design academic courses.
Originality/value
This study measured the effects of several critical contextual areas regarding financial literacy and students' decisions in Pakistani universities.
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R.M. Ammar Zahid, Muhammad Kaleem Khan and Volkan Demir
Current research aims to investigate the relationships between Chinese national cultural values (uncertainty avoidance (UA), power distance, masculinity (MAS), individualism (IDV…
Abstract
Purpose
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).
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
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Shaohua Yang, Murtaza Hussain, R.M. Ammar Zahid and Umer Sahil Maqsood
In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of…
Abstract
Purpose
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.
Design/methodology/approach
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.
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.
Originality/value
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.
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R.M. Ammar Zahid, Alina Taran, Muhammad Kaleem Khan and Can Simga-Mugan
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…
Abstract
Purpose
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.
Design/methodology/approach
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
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.
Research limitations/implications
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.
Originality/value
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.
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Umer Sahil Maqsood, Shihao Wang and R.M. Ammar Zahid
In the context of an evolving digital-based global economy, this study aims to investige the impact of digital transformation (DT) on a firm’s internal control (IC) quality. It…
Abstract
Purpose
In the context of an evolving digital-based global economy, this study aims to investige the impact of digital transformation (DT) on a firm’s internal control (IC) quality. It also explores how the personal traits of (CEOs) – such as age, gender and educational background – intersect with DT to shape the IC quality in various types of state-owned enterprises (SOEs).
Design/methodology/approach
The study uses the data from China A-shares non-financial enterprises, listed on Shanghai and Shenzhen stock exchanges between 2007 and 2020. Using the fixed effect regression method alongside various statistical techniques, such as propensity score matching, alternative analysis and instrumental variables analysis, yields robust findings. These methods effectively address issues related to functional form misspecification and potential biases from omitted explanatory variables.
Findings
The findings reveal a positive impact of DT on firm IC quality, and this impact is more pronounced in firms when the CEO is female, young and possesses a higher level of education. Notably, the study also distinguishes between central and local state-owned enterprises (SOEs), highlighting that DT has a greater influence on IC quality in central SOEs, where CEOs often have higher political ranks and closer to government monitoring. Overall, the findings are robust and consist to alternative variable and other statistical methods.
Research limitations/implications
Following are the significant implications for both academia and business. First, firms that effectively adopt DT to enhance IC not only gain a strategic advantage over competitors but also establish efficient risk management practices and a robust IC system. Second, better IC resulting from DT can enhance investor and stakeholder confidence. This is particularly important for publicly traded companies, where investors and analysts closely scrutinize the robustness of IC systems. Third, DT could result in cost savings over time, as automation and streamlined processes may reduce the need for manual efforts and resource-intensive tasks associated with IC.
Originality/value
The findings are contributed to the literature in multiple ways. It enhances our comprehension of the intricate DT-IC quality relationship, and provides valuable insights into the transformative impact of DT on organizational operations and risk management. It also introduces a novel perspective by investigating how CEOs personal traits intersect with DT to shape IC quality, contributing to upper echelons theory. Furthermore, it expands the discussions on firm ownership by considering the types of SOEs (central vs. local), in the DT-IC quality context.
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R.M. Ammar Zahid, Muhammad Kaleem Khan and Muhammad Shafiq Kaleem
Executive decisions regarding capital financing are an important management aspect, especially during financing constraints and growth opportunities. The current study examines…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Syed Quaid Ali Shah, Lai Fong Woon, Muhammad Kashif Shad and Salaheldin Hamad
The primary objective of this research is to conceptualize the integration of enterprise risk management (ERM) as a mechanism to enhance the connection between corporate…
Abstract
The primary objective of this research is to conceptualize the integration of enterprise risk management (ERM) as a mechanism to enhance the connection between corporate sustainability (CS) reporting and financial performance. This study suggests that future researchers should validate the proposed conceptualization by conducting a comprehensive content analysis of sustainability reports of Malaysian oil and gas companies. This analysis will allow for the collection of pertinent data regarding CS reporting and ERM implementation. The present study takes a comprehensive approach by integrating legitimacy, stakeholder, and resource-based view (RBV) theories, proposing a robust conceptual design that emphasizes the role of ERM in the connection between CS reporting and firm performance. Drawing on theoretical foundations, this study proposes that CS reporting will have a direct effect on financial performance. Moreover, the integration of ERM serves to strengthen the nexus between CS reporting and financial performance. This study offers valuable insights for stakeholders in the oil and gas sector by providing strategic guidance to enhance financial performance not only through CS reporting but also by implementing ERM. Moreover, the framework proposed in this study is expected to bring tangible and intangible benefits to corporations, including reducing information asymmetry, improving the quality of disclosure, and creating value within the field of CS. The proposed conceptual framework holds great significance as it enhances the applicability of legitimacy, stakeholder, and RBV theories, while also creating value for stakeholders through CS reporting and the adoption of risk management practices to enhance financial performance.
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Salma Akhter and Debashis Mazumdar
New trends in global trade including rise in services, global value chains, and the digital economy are opening up important economic opportunities for women. Trade has the…
Abstract
New trends in global trade including rise in services, global value chains, and the digital economy are opening up important economic opportunities for women. Trade has the potential to expand women's role in the economy, decrease inequality, and expand women's access to skills and education. Trade can dramatically improve women's lives, creating new jobs, enhancing consumer choice, and increasing women's bargaining power in society. In Bangladesh economy, the women led micro, small, and medium enterprises (MSMEs) play a noteworthy role by providing services and goods, creating employment generation particularly for women (UN Women, 2020). According to an ILO report, the majority of female-owned SMEs in Bangladesh are involved in the trading sector, followed by the manufacturing and service sectors (Fatima, 2023). This chapter is based on the case studies on 50 women entrepreneurs in various levels in Bangladesh and 10 key informant interviews of government officials, business associations, academics, researcher, microcredit organizations. This is encouraging that due to government's women friendly policies and organizational supports along with better networking through social media in Bangladesh, more and more women of various backgrounds in Bangladesh are coming to business though still concentrated on few traditional areas but they are making space for themselves and creating employment for poorest segment of women and educated young women.
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Qingmei Tan, Muhammad Haroon Rasheed and Muhammad Shahid Rasheed
Despite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a…
Abstract
Purpose
Despite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a profound influence on the dissemination of information among participants in stock markets. Consequently, this present study delves into the ramifications of post-pandemic dynamics on stock market behavior. It also examines the relationship between investors' sentiments, underlying behavioral drivers and their collective impact on global stock markets.
Design/methodology/approach
Drawing upon data spanning from 2012 to 2023 and encompassing major world indices classified by Morgan Stanley Capital International’s (MSCI) market and regional taxonomy, this study employs a threshold regression model. This model effectively distinguishes the thresholds within these influential factors. To evaluate the statistical significance of variances across these thresholds, a Wald coefficient analysis was applied.
Findings
The empirical results highlighted the substantive role that investors' sentiments and behavioral determinants play in shaping the predictability of returns on a global scale. However, their influence on developed economies and the continents of America appears comparatively lower compared with the Asia–Pacific markets. Similarly, the regions characterized by a more pronounced influence of behavioral factors seem to reduce their reliance on these factors in the post-pandemic landscape and vice versa. Interestingly, the post COVID-19 technological advancements also appear to exert a lesser impact on developed nations.
Originality/value
This study pioneers the investigation of these contextual dissimilarities, thereby charting new avenues for subsequent research studies. These insights shed valuable light on the contextualized nexus between technology, societal dynamics, behavioral biases and their collective impact on stock markets. Furthermore, the study's revelations offer a unique vantage point for addressing market inefficiencies by pinpointing the pivotal factors driving such behavioral patterns.