This study aimed to examine the influence of talent management practices (recruitment and selection, training and development, rewards and compensation) on employee retention and employee performance ...in Jordanian service organizations. A questionnaire was adopted and distributed among the employees in the service organizations in Jordan; the study’s respondents were 267 employees from service organizations (telecommunication firms, banks, and tourism firms). SmartPLS 3 was used to analyze the data and to examine the measurement and structural models. The findings of the study indicated that rewards and compensation significantly and positively affected employee performance (t = 2.558) and employee retention (t = 5.336). Similarly, recruitment and selection significantly and positively influenced employee performance (t = 2.208) and employee retention (t = 5.822). Training and development also significantly and positively affected employee performance (t = 2.288) and employee retention (t = 2.699). The results suggest that implementing talent management practices (recruitment and selection, training and development, and rewards and compensation) can improve employee retention and performance in Jordanian service organizations.
This study aims to investigate the impact of digital supply chains and smart technology on the operational performance of the manufacturing industry. Due to the lack of knowledge and guidance in this ...area, the adoption of smart technology throughout the supply chain is limited, leading to poor operational performance. Therefore, the purpose of this study is to investigate how smart technology and digital supply chain transformation can improve operational performance. To test hypotheses and accomplish study goals, the Resource-Based View (RBV) theory was combined with a quantitative research strategy. The study population of companies was obtained from a manufacturing directory, and a minimum sample size of 107 companies was determined using G*Power. Additionally, 600 online surveys were sent to the manufacturing companies, resulting in a response rate of 17.83%. Data analysis was conducted using Smart-PLS 4.0 software, and eight of the 10 hypotheses were supported. The findings showed that smart technologies completely mediate the link between digital transformation and relationship performance, emphasizing the need for manufacturing organizations to focus on incorporating smart technology into their supply chain to enhance operational performance. The study concludes by presenting theoretical and practical implications, limitations, and recommendations.
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