அரேபியன் ஜர்னல் ஆஃப் பிசினஸ் அண்ட் மேனேஜ்மென்ட் ரிவியூ

We look into how industrial policy affects corporate investment and investment efficiency. We investigate whether industrial policies have distinct effects on China's state-owned enterprises (SOEs) and non-state-owned enterprises (non-SOEs) by utilizing the micro-level data of A-share listed companies on the Chinese stock market from 2001 to 2020. To further illustrate the impact of industrial policy on investment efficiency, we also identify specific policy adherents. The empirical findings demonstrate that, whereas SOE investment and efficiency are unaffected, industrial policies encourage investments among non-SOEs at the expense of reducing their investment efficiency. The primary means by which industrial policy has a negative impact on investment efficiency are subsidies from the government and competition between industries. In addition, both SOE and non-SOE policy adherents lose investment efficiency as a result of target industrial policies. Therefore, policymakers ought to pay more attention to the consequences of excessive inter-industry competition and unnecessary government subsidies in order to achieve the objectives of increasing the efficiency of corporate investment and fostering sustainable economic development.

One of the most researched concepts in industrial and organizational psychology is employee performance. Drawing from Social Exchange Theory (SET) this study was conducted to examine the impact of workplace envy on task performance with the mediating role of counterproductive work behavior in the banking sector. Data were collected from 269 participants using survey questionnaires and for data analysis, Smart PLS was used. The finding show workplace envy has a significant relationship with task performance and counterproductive work behavior in mediates the relationship between workplace envy and task performance. Furthermore, selfefficacy moderates the relationship between workplace envy and counterproductive work behavior. Companies should employ the crucial psychological skill of self-efficacy to deal with the negative aspects of workplace envy and counterproductive work behavior to achieve overall organizational success. Managers should adopt approaches from other industries for resolving envy based conflicts through effective human resource management strategies.

Artificial intelligence is playing a significant role in all sectors of the economy, including the higher education sector. This study focused on the rising roles of artificial intelligence in higher education through a methodical evaluation of the literature. Data were gathered via a systematic review of scholarly articles on artificial intelligence published in higher education institutions from 2011 to 2021 from the Web of Science, ERIC, and Scopus. The review used a systematic qualitative research methodology. Based on the date, language, reported outcomes, setting, and type of publications, a rigorous inclusion and exclusion process was followed. The following themes were used to screen and code the articles that were chosen: future careers, course/program assessments, learning and teaching, and education quality. The findings demonstrate the enormous contribution artificial intelligence makes to improved quality educational services, hands-on learning and teaching, and teaching assessment methods for a better future job. All of this helps universities evolve digitally to meet shifting global needs. According to the study, artificial intelligence will likely have an impact on employment in the future. As a result, higher education institutions should integrate AI into every aspect of their operations to produce graduates who are well-equipped to meet future market demands and who are in step with the fourth industrial revolution. The report also suggests further research on effect evaluations of artificial intelligence.