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Career management is a crucial process for both individuals and organizations. For individuals, it facilitates the achievement of career goals and enhances job satisfaction. For organizations, it aids in attracting, developing, and retaining qualified employees. This study delves into the factors influencing career management, encompassing individual factors (abilities, skills, interests, values, and personality), organizational factors (organizational culture, structure, career opportunities, and career policies), and environmental factors (economic, socio-political, and technological conditions). The findings demonstrate that effective career management can enhance employee career effectiveness, job satisfaction, and organizational performance. The study also provides recommendations for improving career management, including regular career assessments, career development program development, information and training, a supportive organizational culture, and encouraging employees to proactively manage their careers. Further research is warranted to develop more effective and contextual career management models and investigate the impact of career management on other factors such as organizational commitment, employee turnover, and gender equality in the workplace.    

Recent developments in information and communication technology such as artificial intelligence (AI) provide new opportunities to increase the efficiency and accuracy of performance assessment. The impact of the COVID-19 pandemic and the shift to a remote work model has created a need for technology solutions to unify and transmit the performance of employees working from multiple locations. The use of technology in performance management evaluations may raise concerns regarding data security and privacy, inconvenience or resistance to employees or stakeholders. Not all employees or managers have the same level of skill and understanding of the technology being implemented and it requires a high initial investment in maintenance and upgrades. This article provides an understanding of how technology can be applied in management performance evaluation and its benefits in increasing efficiency, objectivity and accuracy in employee assessment as well as providing recommendations for innovation and changes in the use of technology in management performance evaluation. The methodology used is a qualitative method by collecting data from various information sources. Some of the positive impacts of implementing technology in performance evaluation management are increased efficiency and productivity, real-time feedback, increased objectivity and fairness, more accurate and measurable performance monitoring. The technologies that can be used are Go Talent, Feedback and Recognition Systems, Analytics Technology, Application-Based Performance Evaluation Systems, Use of AI for Objective Evaluation and Chabots for Feedback.