The simulation of human intelligence in machines, called Artificial intelligence, has risen, and plays an important role in the new banking era. The present study aims to discuss the consumer’s perspective on artificial intelligence’s adoption in Asian countries. The questionnaire was developed and distributed to collect data from five Asian countries (Pakistan, China, Iran, Saudi Arabia, and Thailand). The total useable responses were 799. The results showed that the factors (awareness, attitude, subjective norms, perceived usefulness, and knowledge of artificial intelligence technology) had a significant and positive relationship with the intention to adopt AI in the banking sector. However, perceived risk shows a negative but significant relationship with the intentions to adopt AI. Overall, the findings of this study will be a worthy insight for making strategic decision-making in the banking industry. This will enable the banking management to build a strategy to increase the trust of consumers, which will help them to overcome risks and give them confidence in using digital technology while making transactions. The banking sector also focuses on innovative AI technologies to improve customer services as well as overall growth by generating more revenue.
14 June 2022 in International Journal of Educational Management
Purpose: This research investigates the relationship between e-learning service quality dimensions, student e-learning satisfaction, commitment and behaviour towards finance courses in higher education institutes of Pakistan.Design/methodology/approach: Due to specific study objectives, the authors gathered sample data of 359 university students who were enrolled in the traditional learning system and shifted to the e-learning environment. The study employed partial least squares-structural equation modelling (PLS-SEM) based approach using Smart PLS version 3.0.Findings: The results indicated that out of four e-learning service quality dimensions, three dimensions (system quality, course material and instructor quality, information technology (IT) and support service quality) positively impacted student e-learning satisfaction. The other dimension of e-learning service quality (course website quality) showed a positive but insignificant effect on e-learning satisfaction. Additionally, e-learning satisfaction was positively related to e-learning commitment, which, in turn, has a positive and significant influence on student e-learning behaviour towards finance courses.Originality/value: Overall, the study’s findings provide useful policy implications for higher education institutes, particularly in the coronavirus disease 2019 (COVID-19) pandemic.
The research applies the Upper Echelons Theory and the Lehman Sisters Hypothesis to explain how women board members use investment, financial, and liquidity techniques to reduce risk and increase a firm’s value. An original dataset of listed US companies is analyzed to show how women strategists contribute to value creation and mitigate stock volatility and bankruptcy. A simultaneous equations approach captures the interplay between a company’s use of debt and financial derivatives. According to this research, organizations that employ derivative instruments benefit more from having women in advisory roles because women encourage proactive risk management and develop effective risk control measures. The research implies that businesses should actively promote gender equality on their boards rather than merely recognizing the need for diversity.
The purpose of this paper is to The goal of this study is to empirically examine how innovation and income are affected by PISA scores—average scores in math, science, and reading. The specific objectives are threefold. First, we develop a conceptual model that describes the connection between income, innovation, and educational quality as determined by PISA scores. Second, we perform an empirical analysis to see if educational quality as assessed by the PISA scores has an impact on innovation.Third, we also test whether the PISA scores have a positive effect on income (GDP per capita). Using panel mode, we find that education quality has a significant and positive effect on innovation and income. Particularly high math test scores have been found to be an important subject that increases per capita income and innovation.