Job Satisfaction and Employee Engagement as Mediators of the Relationship Between Talent Development and Intention to Stay in Generation Z Workers

Achmad, Listian Indriyani; Noermijati, Noermijati; Rofiaty, _; Irawanto, Dodi Wirawan

doi:10.26668/businessreview/2023.v8i1.814

Cited by 22 publications

(14 citation statements)

References 36 publications

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“…With the help of this study, we are able to gain a better understanding of how individuals navigate the ever-evolving landscape of growth projects (Shafiq, Khan, Gul, Hussain, & Javaid, 2023). Those who are responsible for planning projects and establishing regulations are prompted to consider necessity of incorporating thorough comprehension of various expectations into processes of planning, carrying out, and evaluating their work (Achmad, Noermijati, Rofiaty, & Irawanto, 2023). It is possible for future growth projects to assist in the development of more openminded strategies by recognizing and providing room for a variety of hopes regarding best possible existence.…”

Section: Discussionmentioning

confidence: 99%

Living With Dreams: A Multidimensional Analysis of the Ideal Life Phenomenon During Developmental Projects in Pakistan

Ashraf,

Waqas,

Fatima

2023

JSRD

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This research considers complex dynamics of life under ideal conditions in the context of development projects. Using a multidimensional analytical approach, this study explores other areas of interaction of social, economic, and environmental factors that seek an inclusive evaluation of aspirations and realities of communities undergoing change, including quantitative methods, of ideal phenomena of life. Understanding is about unraveling the complexities associated with understanding. The results are expected to contribute valuable insights into areas of development studies, urban planning, and community well-being, leading to excellent development of the variety of types of ideal living conditions in the context of aspirational development initiatives. That make a comprehensive assessment of desires and realities of communities in change through comprehensive evaluation of ideal phenomena of life, including qualitative & quantitative methods. Results are likely to contribute valuable insights in areas of development studies, urban planning, and social welfare, which will provide excellent overview of various ideal situations in context of aspirational development initiatives.

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Section: Discussionmentioning

confidence: 99%

Living With Dreams: A Multidimensional Analysis of the Ideal Life Phenomenon During Developmental Projects in Pakistan

Ashraf,

Waqas,

Fatima

2023

JSRD

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“…Empirical studies have provided mixed results on the association between talent development and turnover intention. Achmad et al (2023) examined the relationship between talent development and intention to stay among Generation Z workers using job satisfaction and employee engagement as mediators. The results revealed a positive and significant relationship between talent development and intention to stay.…”

Section: Talent Development and Turnover Intentionmentioning

confidence: 99%

Job satisfaction on talent management and turnover intention among private secondary schools

Nimtur,

Kusa,

Olanrewaju

2024

Annals of Human Resource Management Research

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Purpose: This study investigates the role of job satisfaction in the relationship between talent management dimensions and turnover intention among private secondary school teachers in Langtang North LGA in the plateau state. Research Methodology: The study used a survey to collect data from a population of 628 teachers. The sample size of 244 was determined using the Taro Yamane formula. The data were collected using questionnaires. Data were analyzed using multiple regression with the aid of partial least squares structural equation Modelling (PLS-SEM) using SmartPLS 3.0 to evaluate the hypothesized relationships. Results: The results reveal a significant relationship between talent attraction and turnover intention. Second, there is no relationship between talent development and turnover intention, a negative relationship between talent retention and turnover intention, and a positive relationship between talent attraction and job satisfaction. Talent development and retention both had a negative relationship with job satisfaction, and job satisfaction did not moderate the relationship between talent management dimensions and turnover intention. Limitations: The study was limited to 244 teachers in the Langtang North Local Government Area. This limited the involvement of other categories of teachers in the study. Contribution: This study provides valuable insights to policymakers in the educational sector to create a holistic attraction and selection policy that will ensure that teachers with higher retention potentials are employed to reduce the cost associated with teachers’ turnover and to understand the factors that cause employee turnover and implement effective policies and regulations that can enhance the retention of teachers.

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“…Empowerment theory underscores the importance of autonomy and participation in fostering empowerment, while motivation theories highlight the role of AI-driven tasks and recognition in enhancing intrinsic motivation among healthcare professionals. (Achmad, L. I., 2023) Technology Acceptance Models: Technology acceptance models, including the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), provide frameworks for understanding the factors influencing individuals' attitudes and intentions toward AI adoption. These models emphasize the importance of perceived usefulness, ease of use, and social influence in shaping acceptance and utilization behaviors.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Artificial Intelligence Applications on Enhancing Professional Empowerment From the Perspective of Medical Sector Workers

Fouri,

Aburumman,

Siam

et al. 2024

J. of Law and Sust. Develop.

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Purpose: This study examines the impact of artificial intelligence (AI) on professional empowerment in the medical sector. It assesses AI application level, evaluates professional empowerment, examines the relationship between AI utilization and empowerment, and proposes strategies to enhance empowerment, including improved AI integration, training programs, and supportive work environments. Theoretical framework: The theoretical framework focuses on the relationship between AI applications and professional empowerment in the medical sector. It incorporates AI adoption theory, empowerment theory, motivation theories, technology acceptance models, and social cognitive theory. The framework explains how AI enhances professional empowerment by enabling employees to make informed decisions, acquire new skills, and engage in decision-making processes. It also highlights the role of AI in fostering a sense of purpose and fulfillment within the workforce. Design/Methodology/Approach: This study uses a descriptive analytical research design to examine the impact of AI applications on professional empowerment in the medical sector. A structured questionnaire is used to collect data on participants' perceptions of AI application levels, professional empowerment dimensions, and demographic variables. The study adheres to ethical guidelines and uses descriptive and inferential statistics to analyze the data. Findings: The study reveals an average level of AI application in the medical sector, with common applications like diagnostic algorithms and predictive analytics. AI-driven tasks contribute to moderate motivation and access to training and learning opportunities. The study also highlights the positive impact of AI on professional empowerment, highlighting the need for strategic implementation of AI technologies to enhance workforce empowerment and patient outcomes. Research, Practical & Social Implications: The study reveals an average level of AI application in the medical sector, with common applications like diagnostic algorithms and predictive analytics. AI-driven tasks contribute to moderate motivation and access to training and learning opportunities. The study also highlights the positive impact of AI on professional empowerment, highlighting the need for strategic implementation of AI technologies to enhance workforce empowerment and patient outcomes. Originality/Value: This study explores the relationship between AI applications and professional empowerment in the medical sector. It provides empirical evidence on the impact of AI adoption on professional empowerment, offering practical guidance for healthcare organizations. The study also highlights the broader social implications of AI-driven professional empowerment in healthcare.

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Job Satisfaction and Employee Engagement as Mediators of the Relationship Between Talent Development and Intention to Stay in Generation Z Workers

Cited by 22 publications

References 36 publications

Living With Dreams: A Multidimensional Analysis of the Ideal Life Phenomenon During Developmental Projects in Pakistan

Living With Dreams: A Multidimensional Analysis of the Ideal Life Phenomenon During Developmental Projects in Pakistan

Job satisfaction on talent management and turnover intention among private secondary schools

The Impact of Artificial Intelligence Applications on Enhancing Professional Empowerment From the Perspective of Medical Sector Workers

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