Joumana Younis

Cette thèse tente de cerner les effets des technologies numériques (TN) sur les modes de management transformés. Après avoir cerné les contextes organisationnels traversés au cours de l’histoire, tout particulièrement prémoderne, moderne et postmoderne, le changement est étudié à travers les nouveaux espaces et enjeux du travail. Il ressort que les organisations à forte teneur numérique développent des pratiques managériales et des modes d’info-communication qui assurent leur pérennité. L'innovation managériale, l’agilité organisationnelle, le travail collaboratif, l’intelligence collective, ainsi que d’autres pratiques se sont greffées sur des aspects plus traditionnels dans la forme, mais actualisés sur le fond. L’implication et les styles de management notamment ont tellement été influencés par le numérique, qu’ils ont engendré des pratiques favorisant la bienveillance tout en donnant plus de sens au collaboratif et à l’interactivité. Les données recueillies dans note recherche empirique montrent que les pratiques managériales des organisations libanaises sont désormais influencées voire façonnées par les technologies numériques (TN) tout comme dans les pays du Nord, même si c’est avec une amplitude moindre, entraînant des modes de communications novateurs et efficients pour les relations au travail.

Objectives: This study aims to evaluate the correlation between high-commitment management and entrepreneurial performance in Karbala. It specifically focuses on the role of career path management, education, training, and performance management in improving entrepreneurial outcomes. Methods: A quantitative approach was adopted in a descriptive study using a hypothetico-deductive methodology. Data were collected through a face-validated questionnaire, and the basic random sampling technique was used to determine the sample size. To enhance accuracy and reduce error rates, the sample size was extended to 500 participants. Results: The findings indicate that high-commitment management practices, particularly career path management, significantly enhance entrepreneurial performance. Additionally, education, training, and performance management contribute to improving entrepreneurial outcomes. Functional managers play a crucial role in maintaining high commitment levels and fostering workplace unity to explore new opportunities. Organizations that adopt effective commitment management strategies are more likely to achieve creativity and strategic goals. Conclusion: The study concludes that creating a work environment that promotes transparency and effective communication is essential for enhancing entrepreneurial performance. Organizations should implement commitment management strategies to drive innovation and ensure long-term success.

Objective: This study addresses the issue of corporate social responsibility with a special focus on Lebanese 5 star hotels. Point that a sustainable development approach has implications on organizational actions and strategies, recognize the role of managers in Lebanese hotels in applying and implementing sustainable development principles, and indicate the changes that occur in each department of the organization after the adoption of the CSR foundation. Theoretical Framework: This topic presents the main concepts on which the research is based. It highlights everything related to sustainable development, corporate social responsibility and the role of managers, providing a solid foundation for understanding the research context. Method: The focus is on critical realist philosophy and positivism, with qualitative analysis and inductive reasoning through observation and semi-structured interviews. Secondary data come from books, published and unpublished personal sources, newspapers, websites, blogs, diaries, government documents, and podcasts. Results and Discussion: The data collected show that the concept of sustainable development exists in Lebanon and that Lebanese hotels have become socially responsible, albeit to varying degrees. Managers have a key role to play in realizing this concept. Research Implications: The practical and theoretical implications of this research were discussed, providing an accurate snapshot of the level of implementation of sustainable development in Lebanese hotels. It provides an information base, the application of which helps to raise the level of implementation of the concept of sustainability in hotels. Originality/Value: The importance of the study lies in providing information on all the study variables, clarifying the role of managers in applying the concept of CSR, and highlighting the basic and sequential steps for applying CSR in Lebanese hotels.

This paper aims to assess the influence of emotional intelligence on organizational commitment. A quantitative survey was conducted among the academic staff of Lebanese universities to reach this objective. This research paper is an explanatory, descriptive, and confirmatory study. This cross-sectional study is based on a quantitative method to examine the validity of the theory or model. This research favors the deductive approach. This approach enables the deduction of a general conclusion from hypotheses. The structured questionnaire is constructed on the theoretical constructs of the mixed approach of the Goleman model, evaluating the following six components: self-awareness, self-control, internal motivation, empathy, leadership skills, and interpersonal relationship management. Empirical testing incorporates the plurality of causes and effects of interaction in this explanatory, descriptive research. Universities confront a lack of employee commitment. Emotional appreciation drives commitment to the organization. E.I. denotes the aptitude to detect, categorize, and use feelings to smooth rational decisions. The study verified that E.I. components significantly and positively influence organizational commitment, with internal motivation having the highest influence in Lebanese universities. Soft skills are essential abilities. Decision-makers and managers of Lebanese universities, conscious and attentive to the influence of employees' emotions, should integrate emotional intelligence into their managerial practices. To build and maintain organizational commitment, displaying appropriate emotions, interpersonal relationships, and communication are compulsory.

After the COVID-19 pandemic, the healthcare sector has faced many challenges as telehealth increased and the need for a secure and efficient healthcare record system became essential. Nowadays, the healthcare sector suffers from many problems, such as security, trust, availability of data, and drug traceability. Blockchain technology is a recent technology that has proven its efficiency in many sectors, such as finance, banking, bitcoin, and healthcare sectors. This chapter describes blockchain integration in the healthcare sector to cover these problems. The authors will start by introducing blockchain technology. After that, they will present the healthcare sector challenges. Then, they focus on advantages of blockchain usage to resolve existing problems in the healthcare sector, especially in the electronic health record and drug traceability. Request access from your librarian to read this chapter's full text.

Any company's most valuable asset, its workforce, is its employees. As a result, the company's primary goal should be to develop an excellent strategy for supporting and investing in its employees and staff by providing the best training and development. Employee Promotion denotes the advancement of an employee's rank. It raises the salary, position, duties, and benefits. It is a part of the job that propels employees to the highest commitment and loyalty to their organizations. Employee morale and loyalty are two critical components of any successful business. Employee promotion is the key to improving employee performance and engagement. It is a complex process that may require effort and time from the human resource department. However, artificial intelligence is a recent science that has proven effective in many sectors, including healthcare and finance. Thus, this study used artificial intelligence techniques to automate employee promo. A new promotion approach based on machine learning techniques was proposed. Three machine learning techniques were applied: Logistic regression, support vector machine, and random forest. The result shows the efficacy of these techniques on the employee promotion problem.

Purpose: This paper aims to determine the influence of e-learning and its dimensions on university performance, taking the University of Basra’s various faculties as a field study. Theoretical Framework: The study’s hypotheses are divided into one central hypothesis and four sub-hypotheses constructed and grounded on the dimensions of e-learning. Infrastructure, technical support, management, organization, and content were taken as dimensions of the independent variable, and University Performance as the dependent variable. Design/Methodology/Approach: This paper uses a quantitative method with a deductive approach. One hundred sixty participants responded to a structured questionnaire as part of the study’s descriptive analytical procedure. Data were analyzed using the SPSS program. Statistical analyses were applied to test the research hypotheses and meet the study’s goals. Findings: Results revealed a positive association linking the application of e-learning dimensions. Universities are motivated to apply e-learning strategies due to their positive influence on leveraging university performance. Infrastructure, technical support, management and organization, and content positively influence university performance. Research, Practical and Social Implications: This paper highlights the features and dimensions influencing university performance significantly in the Iraqi context. Hence, executives of public and private universities will be able to determine the actions to be adopted to advance and progress the implementation of e-learning and performance. Originality/Value: The paper’s originality stems from the significance and recency of the addressed topic. This paper is the first empirical research presenting a diagnosis of e-learning dimensions and university performance at Basra University during the outbreak of the corona pandemic. It is an original paper conducted in the Iraqi context.

Artificial intelligence is one of the essential innovations made by scientists to simplify people's life. It allows intelligent computers to imitate human behaviors to accomplish specific tasks. Machine learning is a branch of artificial intelligence in which devices can learn from existing data to predict new output values. Machine learning is used in different domains, including human resources management. This chapter presents an application of machine learning in the human resources department. Machine-learning techniques help select the most suitable candidate for a job vacancy during recruitment stages based on different factors. Factors could include educational level, age, and previous experience. Based on these factors, a decision system is built using the binary classification method. The results show the effectiveness of this method in selecting the best candidate for a job vacancy, revealing the flexibility of the approach in making appropriate decisions. In addition, obtained results are accurate and independent of the dataset imprecision.