The article explores the increasing influence of artificial intelligence (AI) in education, addressing contemporary challenges and highlighting its significance in refining teaching methods and enhancing learning efficiency. It is a structured literature review that systematically analyzes existing literature on AI in education, drawing insights from prominent researchers to understand current and future trends. Four key questions guide the analysis: the relationship between education and AI, their interaction, AI's contribution to educational evolution, and research challenges. The study employs a systematic review of literature, focusing on works by eminent scholars such as Lee, Memarian, and Yuan, selected from the Scopus database spanning from 1986 to 2024. It follows a structured approach to gather and analyze data from selected studies. The article progresses by presenting an introduction to the topic, outlining the methodology, and summarizing and analyzing key findings from selected literature. It explores the intrinsic relationship between education and AI, their interaction, and AI's role in evolving the educational process. Major findings underscore the importance of a cautious and ethical approach to integrating AI in education. Despite its potential benefits, challenges and shortcomings in current research are acknowledged, urging for further exploration and consideration of ethical implications
Good governance should contribute to improving the company’s performance by providing the board of directors with the opportunity to ensure that it acts in the best interests of the shareholders (Fan, Radhakrishnan, & Zhang, 2021). Governance codes, composed of a set of voluntary recommendations, have been developed throughout the world. To date, the question of their effectiveness remains largely open and debated in the international context, and in Morocco in particular. The objective of this paper is to study the influence of compliance with a governance code on performance management practices in Morocco. In particular, it explores whether there is an impact of the corporate governance code via a compliance score on performance management (sales manipulation, abnormal production costs and discretionary expenditure manipulation). This paper uses a panel of data from 54 listed Moroccan non-financial firms from 2013 to 2020. The results of the study show that listed firms have gradually increased their compliance with the code. It appears that some of the code’s recommendations are more effective in managing results Furthermore, code compliance and the evolution of code compliance are negatively associated with accounting management and actual earnings management. The code’s provisions on the management board and specialised committees seem to limit the management of results. These results seem to confirm the positive impact of the governance code on the quality of accounting results.
4 April 2024 in Journal of Governance and Regulation
The implementation of new gender diversity requirements has sparked significant research interest in assessing how such a commitment influences value-creation indicators (Chebri & Bahoussa, 2020). This study aims to examine the impact of gender diversity in the board of directors on the investment efficiency of listed firms in Morocco, using panel data from a sample of 36 non-financial firms listed on the Casablanca Stock Exchange for the period 2014 to 2019. To accurately identify the board dimensions that determine firms’ investment efficiency, we conduct a fixed-effects regression analysis, in which a firm’s investment efficiency variables are regressed, directly and indirectly (i.e., the moderating effect of board diversity), on board attributes. This study draws on the complementary propositions of agency theory and social feminist theory. The empirical results of this study indicate that diversity not only has a positive and significant direct impact on the level of investment effectiveness but also moderates the relationship between board characteristics and investment effectiveness. This study provides empirical evidence of the moderating role of gender diversity on the effect of board structure and investment effectiveness.
25 September 2025 in International Journal of Organizational Analysis
Purpose: This study aims to identify the factors that influence employee retention among Generation Z in the retail sector in Morocco. Building on research conducted in France on the drivers of employee loyalty among Generation Z at Decathlon France, the study explores four key dimensions: emotional, collaborative, social and ethical. In addition, it investigates the mediating role of organisational commitment in these relationships. Design/methodology/approach: This research uses a quantitative survey conducted with a sample of 320 employees from the retail sector in Morocco. The study adapts five dimensions identified in a French study, retaining four that are relevant to the Moroccan context. Each dimension was measured using validated scales from existing literature. To analyse the complex relationships between the four dimensions and employees’ intention to stay, structural equation modelling was performed using Smart PLS, with a focus on examining the mediating role of organisational commitment. Findings: The results indicate that the emotional, social, collaborative and ethical dimensions have a significant positive impact on the retention of Generation Z employees in the retail sector in Morocco. Furthermore, organisational commitment was found to mediate the relationship between these dimensions and employees’ intention to stay, emphasising its crucial role in enhancing employee loyalty. Originality/value: This research enhances the understanding of employee retention among Generation Z in Morocco’s retail sector. By adapting and validating dimensions from the French context and incorporating the mediating role of organisational commitment, the study provides valuable insights for HR practitioners and business leaders seeking to refine talent retention strategies for the emerging Generation Z workforce.
As artificial intelligence (AI) transforms tourism and hospitality practices, this chapter examines the behavioral and financial barriers to its adoption. The study highlights major challenges such as resistance to change, high implementation costs and lack of resources. A systematic analysis of key themes from 29 recent articles, carried out with IRaMuTeQ, reveals that these barriers are holding back technology adoption. The results underline the need for inclusive strategies, including incentive policies and training programs, to ensure an equitable and sustainable digital transition.