Alpar, R. (2011). Applied multivariate statistical methods. Detay.
Google Scholar

Argyrous, G. (2011). Statistics for research: With a guide to SPSS (3rd ed.). SAGE.
Google Scholar

Aruldoss, A., Berube Kowalski, K., Travis, M. L., & Parayitam, S. (2022) The relationship between work-life balance and job satisfaction: moderating role of training and development and work environment. Journal of Advances in Management Research, 19(2), 240–271. https://doi.org/10.1108/JAMR-01-2021-0002
Crossref
Google Scholar

Bailey, E., & Owens, C. (2020). Unlocking the Benefits of the Multigenerational Workplace. Harvard Business Publishing Corporate Learning.
Google Scholar

Baral, R., & Bhargava, S. (2011), Examining the moderating influence of gender on the relationships between work‐family antecedents and work‐family enrichment. Gender in Management, 26(2), 122–147. https://doi.org/10.1108/17542411111116545
Crossref
Google Scholar

Bartlett M. S. (1954). A further note on the multiplying factors for various chi-square approximations in factor analysis. Journal of the Royal Statistical Society, Series B, 16, 296–298.
Crossref
Google Scholar

Bella, K. M. J. (2023). A Study on Achieving Harmony: Balancing Work and Personal Life. International Journal of Multidisciplinary Research in Arts, Science and Technology, 1(1), 1–7.
Google Scholar

Benítez-Márquez, M. D., Sánchez-Teba, E. M., Bermúdez-González, G., & Núñez-Rydman, E. S. (2022). Generation Z Within the Workforce and in the Workplace: A Bibliometric Analysis. Frontiers in Psychology, 12, 736820. https://doi.org/10.3389/ fpsyg.2021.736820
Crossref
Google Scholar

Buruck, G., Pfarr, A.-L., Penz, M., Wekenborg, M., Rothe, N., & Walther, A. (2020). The Influence of Workload and Work Flexibility on Work-Life Conflict and the Role of Emotional Exhaustion. Behavioral Sciences, 10(11), 174. https://doi.org/10.3390/ bs10110174
Crossref
Google Scholar

Clark, S. C. (2000). Work/Family Border Theory: A New Theory of Work/Family Balance. Human Relations, 53(6), 747–770. https://doi. org/10.1177/0018726700536001
Crossref
Google Scholar

Collins, L. M. (2007). Research Design and Methods. In Encyclopedia of Gerontology (V2-433-V2-442).
Crossref
Google Scholar

Cronbach, L. J. (1951). Coefficient alpha and the interval structure of tests. Psychometrika, 16, 297–334.
Crossref
Google Scholar

Das, M. & Akhilesh, K. B. (2012). Work-Life Balance of Women Researchers and Women Managers in India: A Multi-Construct View. Singapore Management Journal, 1(2), 54–78.
Google Scholar

Drv Mohana Sundari, et al. (2024). Technology And Its Role In Shaping The Future Of Work-Life Balance. Educational Administration: Theory And Practice, 30(5), 1045–1053. https://doi.org/10.53555/kuey. v30i5.3005
Crossref
Google Scholar

Dimock, M. (2019). Defining generations: Where Millennials end Generation Z begins. Pew Research Center, 17(1), 1–7.
Google Scholar

Felstead, A., & Henseke, G. (2017). Assessing the Growth of telecommuting and Its Consequences for Effort, Well-Being and Work-Life Balance. New Technology, Work and Employment, 32(3), 195–212.
Crossref
Google Scholar

George, D. (2011). SPSS for windows step by step: A simple study guide and reference, 17.0 update, 10/e. Pearson Education India.
Google Scholar

Gratton, L. (2011). The Shift: The Future of Work Is Already Here. Collins.
Google Scholar

Grover, S. L., & Crooker, K. J. (1995). Who appreciates family-responsive human resource policies: The impact of family-friendly policies on the organi¬zational attachment of parents and non-parents. Personnel Psychology, 48(2), 271–288. https://doi. org/10.1111/j.1744-6570.1995.tb01757.x
Crossref
Google Scholar

Hertel, G., & Zacher, H. (2018). Managing the aging workforce. In D. S. Ones, N. Anderson, C. Viswes¬varan, & H. K. Sinangil (Eds.), The SAGE handbook of industrial, work and organizational psychology: Managerial psychology and organizational approaches (2nd ed., pp. 396–428). Sage Reference. https://doi. org/10.4135/9781473914964.n19
Crossref
Google Scholar

Howe, N., & Strauss, W. (1991). Generations: The history of America’s future and the fourth turning: An American prophecy. Harpercollins.
Google Scholar

Howe, N., & Strauss, W. (2007). The next 20 years: how customer and workforce attitudes will evolve. Harvard Business Review, 85(7–8), 41–52.
Google Scholar

Jakubczak, A., & Gotowska, M. (2015). The quality of work life and socially responsible actions directed at employees on the example of a service company. Acta Scientiarum Polonorum. Oeconomia, 14(1), 37–46.
Google Scholar

Kaiser, H. F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23(3), 187–200.
Crossref
Google Scholar

Kam, A. (2019). The Influence of X and Y Belonging Characters on The Relationship Between Organi-zational Culture and Organizational Identification [Master’s thesis]. Balıkesir University Institute of So¬cial, Balıkesir.
Google Scholar

Kam, A. (2021). The importance of different generational features for urban management and planning. SKN SPATIUM.
Google Scholar

Kam, A., & Trippner-Hrabi, J. (2021). The influence of generation X and Y employees on modern cities. Acta Universitatis Lodziensis. Folia Oeconomica, 1(352), 39–61.
Crossref
Google Scholar

Kam, A. (2023a). Remote work in the public institutions: Theoretical considerations and exploration of its potential benefits. Polityka Społeczna, 19(1), 13–19.
Crossref
Google Scholar

Kam, A. (2023b). Building Bridges: Understanding the Interplay between Generation X, Generation Y, and Generation Baby Boomers–Characteristics, Organisational Culture, and Organisational Identification in Modern Cities. Acta Universitatis Lodziensis. Folia Oeconomica, 4(365), 65–98.
Crossref
Google Scholar

Kam, A., Trippner-Hrabi, J., Przygodzki, Z., & Sey¬men, O. A. (2025). Remote work in cities: Assessing the effectiveness of public utility services. Cities, 165, 106167.
Crossref
Google Scholar

Keshwani, P., & Patel, S. (2023). The Impact of Technology on Work Life Balance. Iconic Research And Engineering Journals, 6(12), 1142–1150.
Google Scholar

Kopelman, R. E., Prottas, D. J., Thompson, C. A., & Jahn, E. W. (2006). A multilevel examination of work-life practices, Is more always better? Journal of Managerial Issues, 18, 232–253.
Google Scholar

Kossek, E. E., & Ozeki, C. (1998). Work-family conflict, policies, and the job-life satisfaction relationship, A review and directions for organizational behavior-human resources research. Journal of Applied Psychology, 83, 139–149.
Crossref
Google Scholar

Kupperschmidt, B. R. (2000). Multigeneration Employees: Strategies For Effective Management. The Health Care Manager, 19(1), 65–76.
Crossref
Google Scholar

Lepeyko, T. I., & Blyznyuk, T. P. (2016). Generational theory: A value-oriented approach. Business Inform, 11, 24–30.
Google Scholar

Lobel, S. A., & Kossek, E. E. (1996). Human Resource Strategies to Support Diversity in Work and Personal Lifestyles: Beyond the “Family-Friendly” Organiza¬tion. In E. E. Kossek, & S.A. Lobel (Eds.), Managing Diversity: Human Resources Strategies for Transform¬ing the Workplace (pp. 221–244). Blackwell.
Google Scholar

Macovei, I. I., & Martinescu-Bădălan, I. (2022). Managing Different Generations in the Workplace. Management Dynamics in the Knowledge Economy, 10(3), 245–260.
Google Scholar

Mannheim, K. (1952). The Problem of Generations. In P. Kecskemeti (Ed.), Essays on the Sociology of Knowledge (pp. 276–320). Routledge and Kegan Paul.
Google Scholar

Mücevher, M. H. (2015). Feature and interaction percep¬tions of generation X and Y against each other: SDU sample. Doctoral dissertation, Süleyman Demirel University Institute of Social Sciences, Isparta.
Google Scholar

Nam, T. (2014). Technology Use and Work-Life Balance. Applied Research Quality Life, 9, 1017–1040. https:// doi.org/10.1007/s11482-013-9283-1
Crossref
Google Scholar

Oblinger, D., & Oblinger, J. (Eds.) (2005). Educating the Net Generation. Educause, Boulder.
Google Scholar

Ojha, A. K. (2024). Promoting Work-Life Balance through Flexible Work Arrangements: A Multigenerational Analysis. Journal of Multidisciplinary Cases, 4(4), https://doi.org/10.55529/jmc.44.30.40
Crossref
Google Scholar

Pearson, K. (1901). LIII. On Lines and Planes of Closest Fit to Systems of Points in Space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2, 559–572.
Crossref
Google Scholar

Pendergast, D. (2009). Generational Theory and Home Economics1: Future Proofing the Profession. Family and Consumer Sciences Research Journal, 37, 504–522. https://doi.org/10.1177/1077727X09333186
Crossref
Google Scholar

Pietrzyk, K., & Szczepańska, A. (2022). Work during the COVID-19 pandemic–feelings of the investment and construction sector employees in Poland. Acta Scientiarum Polonorum Administratio Locorum, 21(4), 561–572.
Crossref
Google Scholar

Rajadhyaksha, U. (2012). Work-life balance in South East Asia: the Indian experience. South Asian Journal of Global Business Research, 1(1), 108–127, http:// dx.doi.org/10.1108/20454451211207615
Crossref
Google Scholar

Reddy, N. K., Vranda, M. N., Ahmed, A., Nirmala, B. P., & Siddaramu, B. (2010). Work-Life Balance among Married Women Employees. Indian Journal of Psychological Medicine, 32(2), 112–118. https://doi. org/10.4103/0253-7176.78508
Crossref
Google Scholar

Roodin, P., & Mendelson, M. (2013). Multiple Generations at Work: Current and Future Trends. Journal of Intergenerational Relationships, 11(3), 213–222. https://doi.org/10.1080/15350770.2013.810496
Crossref
Google Scholar

Rószkiewicz, M. (2020). Analiza klienta [Customer analysis]. Predictive Solutions.
Google Scholar

Rudolph, C. W., & Zacher, H. (2022). Generations, we hardly knew ye: An obituary. Group & Organi-zation Management, 47(5), 928–935. https://doi. org/10.1177/10596011221098307
Crossref
Google Scholar

Schewe, C. D., & Meredith, G. (2004). Segmenting global markets by generational cohorts: determining motivations by age. Journal of Consumer Behaviour, 4(1), 51–63.
Crossref
Google Scholar

Strauss, W., & Howe, N. (1991). Generations: The history of America’s future, 1584 to 2069. (No Title).
Google Scholar

Siqueira, M. V. S., Dias, C. A., & Medeiros, B. N. (2019). Loneliness and contemporary work: Multiple perspec¬tives of analysis. RAM. Revista de Administração Mac¬kenzie, 20(2), 125. https://doi. org/10.1590/1678-6971/ eramg190058
Crossref
Google Scholar

Smite, D., Moe, N. B., Hildrum, J., Gonzalez-Huerta, J., & Mendez, D. (2023). Work-from-home is here to stay: Call for flexibility in post-pandemic work policies. Journal of Systems and Software, 195, 111552. https:// doi.org/10.1016/j.jss.2022.111552
Crossref
Google Scholar

Sobrino-De Toro, I., Labrador-Fernández, J., & De Nicolás, V. L. (2019). Generational Diversity in the Workplace: Psychological Empowerment and Flexibility in Spanish Companies. Frontiers in Psychology, 10, 1953. https://doi.org/10.3389/fpsyg.2019.01953
Crossref
Google Scholar

Strauss, W. (1991). Generations: The history of America’s future, 1584 to 2069. William Morrow & Co.
Google Scholar

Strauss, W., & Howe, N. (1997). The fourth turning: What the cycles of history tell us about America’s next rendezvous with destiny. Crown.
Google Scholar

Tabachnick, B., & Fidell, L. (2013). Using Multivariate Statistics. Pearson Education Inc.
Google Scholar

Twenge, J. M. (2017). iGen: Why Today’s Super-Connected Kids Are Growing Up Less Rebellious, More Tolerant, Less Happy and Completely Unprepared for Adulthood. Atria.
Google Scholar

Valk, R., & Srinivasan, V. (2011). Work-family balance of Indian women software professionals: A qualitative study. IIMB Management Review, 23(1), 39–50.
Crossref
Google Scholar

Verma, N., Dhiman, B., Singh, V., Kaur, J., Guleria, S., & Singh, T. (2024). Exploring the global landscape of work-life balance research: A bibliometric and thematic analysis. Heliyon, 10(11), e31662. https://doi. org/10.1016/j.heliyon.2024.e31662
Crossref
Google Scholar

Weikle, B. (2018). Telecommuting on the rise to meet challenges of real estate market, labour shortage. CBC News. Retrieved from https://www.cbc.ca/news
Google Scholar

Yıldız, D., & Uzunsakal, E. (2018). A comparison of reliability tests in field researches and an application on agricultural data. Journal of Applied Social Sciences, 2(1), 14–28.
Google Scholar