THE ROLE OF DEMOGRAPHIC FACTORS IN CAREER MOTIVATION IN A REGIONAL CROP PRODUCTION CLUSTER
Keywords:
career motivation, demographic factors, professional development, agricultural sectorAbstract
This study aims to examine the influence of demographic factors on career motivation within a regional crop production cluster. The research topic aligns with contemporary understandings of building a sustainable professional environment, fostering teamwork, and strengthening commitment to scientific organizations and academic institutions. The primary focus is placed on employees' attitudes toward their organizations, their engagement, perceptions of future development opportunities, and loyalty, rather than a narrow analysis of motivation alone.The empirical part of the study was conducted through a standardized questionnaire distributed online between December 2024 and March 2025. A total of 201 respondents participated, with the questionnaire available in both Bulgarian and English. It included five questions—four collecting basic demographic information (gender, age, position, and type of organization), and one key question comprising 27 statements aimed at measuring emotional attachment, sense of belonging, loyalty, and perception of alternative opportunities. Responses were rated using a seven-point Likert scale.
The analysis of the collected data indicates that demographic characteristics such as gender, age, and professional experience have a significant impact on motivational attitudes and career-related behavior. These findings highlight the importance of the socio-demographic context in shaping human resource management policies within agricultural and scientific clusters.
References
Bang, J., & Han, J. W. (2025). Factors influencing farmers' motivation to adopt smart farm technology in South Korea. https://doi.org/10.48550/arXiv.2504.01795
Becerra, F., & Álvarez, M. (2011). El talento humano y la innovación empresarial en el contexto de las redes empresariales. Estudios Gerenciales, 27(119), 209–232.
Camelo, C., Martín, F., Romero, P., & Valle, R. (2000). Relación entre el tipo y el grado de innovación y el rendimiento de la empresa. Economía Industrial, 333, 149–160.
Consentino, F., Vindigni, G., Spina, D., Monaco, C., & Peri, I. (2023). An agricultural career through the lens of young people. Sustainability, 15(14), 11148.
Hitka, M., Lorincova, S., Gejdos, M., & Lipoldova, M. (2022). Employee motivation during the time of the crisis in agricultural and forestry organizations: Case study. Agricultural Economics, 68(7), 271–281.
Huber, J. M., Hoffmann, S., Schüler, S., Lakner, S., Koch, M., Westphal, C., ... & Plieninger, T. (2025). Farmer motivation to participate in cooperative agri‐environmental and climate measures. Earth Stewardship, 2(2), e70011.
Li, Y., Zhao, Y., & Liu, Y. (2006). The relationship between HRM, technology innovation and performance in China. International Journal of Manpower, 27(7), 679–697.
Montero Guerra, J. M., Danvila-del-Valle, I., & Méndez-Suárez, M. (2023). The impact of digital transformation on talent management. Technological Forecasting and Social Change, 188, 122291. https://doi.org/10.1016/j.techfore.2022.122291
Meyer, J. P., & Allen, N. J. (1991). A three-component conceptualization of organizational commitment. Human Resource Management Review, 1(1), 61–89. https://doi.org/10.1016/1053-4822(91)90011-Z
Reagans, R., & Zuckerman, E. W. (2001). Networks, diversity, and productivity: The social capital of corporate R&D teams. Organization Science, 12(4), 502–517.
