Employee well-being and innovativeness: A multi-level conceptual framework based on citation network analysis and...

Area of Science:

• * Business and Management
• * Organizational Psychology

Background:

• * Comprehensive review of 49 years of employee well-being research (1972-2021) and 54 years of innovativeness research (1967-2021).
• * Identification of 24 dominant themes in well-being and ten primary topics in innovativeness research.

Purpose of the Study:

• * To propose a multilevel conceptual framework for understanding the relationship between employee well-being and innovativeness.
• * To integrate diverse research findings using advanced analytical techniques.
• * To provide a roadmap for future research and practical applications in organizations.

Main Methods:

• * Citation network analysis and text semantic similarity applied to extensive literature reviews.
• * Development of a 21-component framework across individual, organizational, and market levels.
• * Data mining techniques employed for novel insights into the well-being-innovativeness nexus.

Main Results:

• * A novel, 21-component multilevel conceptual framework integrating employee well-being and innovativeness.
• * Identification of direct and indirect influences between well-being and innovativeness at multiple levels.
• * First study utilizing citation network analysis and data mining for this specific research area.

Conclusions:

• * The proposed framework offers a holistic approach for organizations to enhance both employee well-being and innovativeness.
• * Provides a foundation for developing new theories and guiding future empirical research.
• * Highlights practical implications for strategic decision-making in fostering a culture of innovation and support.