Search results

The COVID-19 pandemic dramatically altered daily life for Gen Z. The purpose of this study was to examine parental perceptions of the pandemic’s effects on their children’s peer relationships. As children sought peer connection during the pandemic, technology usage soared. The second purpose of the current study was to assess how greater time on social media affected adjustment among Gen Z and whether this effect was mediated by experiences of cyber victimization.

In total, 250 U.S. parent-child dyads participated in the study. Parents reported on their children’s social media use and described how they believed the pandemic affected their children’s peer relationships. Child participants were transitioning to middle school and reported on cyber victimization and adjustment.

Thematic analysis of parental reflections revealed three themes: children spent more time online since the onset of the pandemic, there were negative implications of increased time online and there were positive and protective implications of being online. Analysis also indicated significant indirect effects of social media use on internalizing and externalizing problems through victimization.

Parents reported Gen Z continues to use electronic forms of communication and social media at high rates even after pandemic-related restrictions eased with some suggesting that their children prefer digital over face-to-face communication because they have become accustomed to this way of connecting and may find it easier than in-person interaction. Current findings highlight concerns about this increased time online as social media use negatively affected adjustment via cyber victimization.

The main purpose of the study was to analyse the mediating effects of psychological safety (PS) and psychological availability (PA) on the relationship between leader trustworthiness (LT) and intrapreneurial behaviour (IB) among employees from the manufacturing industry in Ghana.

A sample of 291 who were employees from five manufacturing companies in the industrial hub of Ghana provided data for the study. A closed-ended questionnaire, specifically a seven-point Likert-type scale, was the instrument used for the data collection. The seven hypotheses developed were tested using a structural equation model.

The study established that LT was related to PS and PA but not IB. Like PS, PA was found to be related to IB. Similarly, both PS and PA were related to IB. Again, both PS and PA fully mediated the relationship between LT and IB. Also, gender had a confounding effect on IB.

LT yields direct positive outcomes such as PS and PA as well as indirect IB for employees and organisations. For organisations, especially in the manufacturing sector, to have employees who are psychologically safe, psychologically available and intrapreneurial, there should be a focus on trustworthy leaders. The leaders should be encouraged to be transparent and communicate by way of their actions and inactions and trustworthy values. Leadership training, colleague supervisor support and participation in professional and or management development programmes should be used to acquire trustworthy values.

This study investigated the mediating roles of PS and PA on the relationship between LT and IB among employees of manufacturing firms in Ghana, which has not received the needed attention in the literature despite the challenges manufacturing firms encounter.

This study aims to identify the impact of adopting different techniques of artificial intelligence including (expert systems, machine learning, neural networks and algorithms) in improving the quality of accounting information characteristics such as; appropriateness, faithful representation and verifiability in Palestinian industrial enterprises.

Employees from 13 companies registered on the Palestine Stock Exchange for 2023 were selected. Moreover, the sample included 326 randomly chosen participants. A questionnaire was distributed to participants to collect data, and a descriptive-analytical approach was followed to achieve the study’s aim and examine its hypotheses.

The results showed that the use of artificial intelligence techniques (expert systems, machine learning, neural networks and algorithms) has a positive effect on improving the quality of accounting information characteristics (relevance, faithful representation and verifiability). Expert systems, neural network applications and algorithms contribute to developing solutions to various problems in industrial companies; discovering fraudulent practices in financial statements; and obtaining more accurate, faster and more reliable results. Machine learning also links the company’s systems together simultaneously and in an integrated and effective manner.

The research relied on the industrial sector only because expanding society is difficult due to the general conditions in Palestine, and the results may vary between different sectors due to the nature of their work and activity.

Industrial companies’ efforts to benefit from artificial intelligence applications in their work increase the quality of accounting information, which in turn reflects the company’s real situation and helps in making the necessary decisions efficiently and effectively.

This study contributes to directing the attention of financiers and accountants working in Palestinian industrial companies to the importance of applying artificial intelligence techniques to ensure the highest quality characteristics of accounting information through the preparation of accounting programmes that rely on artificial intelligence to operate, thus achieving the maximum degree of advantage in compiling financial data from its sources, operation and conversion into useful financial information for its users.