Open Access
Issue |
E3S Web Conf.
Volume 601, 2025
The 3rd International Conference on Energy and Green Computing (ICEGC’2024)
|
|
---|---|---|
Article Number | 00020 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/e3sconf/202560100020 | |
Published online | 16 January 2025 |
- PricewaterhouseCoopers (PwC) International, “Asia Pacific Workforce Hopes and Fears Survey 2023,” no. June, pp. 1–25, 2023, [Online]. Available: www.pwc.com/asiapacific [Google Scholar]
- L. S. Holbeche, “Organisational effectiveness and agility,” J. Organ. Eff., vol. 5, no. 4, pp. 302–313, 2018, doi: 10.1108/JOEPP-07-2018-0044. [Google Scholar]
- W. Batat, “The employee experience (EMX) framework for well-being: an agenda for the future,” Empl. Relations, vol. 44, no. 5, pp. 993–1013, 2022, doi: 10.1108/ER-03-2022-0133. [CrossRef] [Google Scholar]
- C. Radu, “Fostering a Positive Workplace Culture: Impacts on Performance and Agility,” Hum. Resour. Manag. - An Updat., 2023, doi: 10.5772/intechopen.1003259. [Google Scholar]
- K. Chaudhuri, “Employee relationship and its effect on organisational commitment: A critical look at a Japanese subsidiary of India,” Int. J. Hum. Resour. Dev. Manag., vol. 20, no. 2, pp. 140–165, 2020, doi: 10.1504/IJHRDM.2020.106252. [Google Scholar]
- M. Rozman, D. Oreski. and P. Tominc, “Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises,” Front. Psychol., vol. 13, no. November, pp. 1–16, 2022, doi: 10.3389/fpsyg.2022.1014434. [Google Scholar]
- Y. Y. Wang and Y. S. Wang, “Development and validation of an artificial intelligence anxiety scale: an initial application in predicting motivated learning behavior,” Interact. Learn. Environ., vol. 30, no. 4, pp. 619–634, 2022, doi: 10.1080/10494820.2019.1674887. [Google Scholar]
- J. Milton and A. Al-Busaidi, “New Role of Leadership in AI Era: Educational Sector,” SHS Web Conf., vol. 156, p. 09005, 2023, doi: 10.1051/shsconf/202315609005. [Google Scholar]
- P. Martin-Hernandez, M. Gil-Lacruz, A. C. Tesan-Tesan, A. R. Perez-Nebra, J. L. Azkue-Beteta, and M. L. Rodrigo-Estevan, “The Moderating Role of Teamwork Engagement and Teambuilding on the Effect of Teamwork Competence as a Predictor of Innovation Behaviors among University Students,” Int. J. Environ. Res. Public Health, vol. 19, no. 19, 2022, doi: 10.3390/ijerph191912047. [CrossRef] [Google Scholar]
- B. Sypniewska, M. Baran, and M. Klos, Work engagement and employee satisfaction in the practice of.sustainable human resource management - based on the study of Polish employees, vol. 19, no. 3. Springer US, 2023. doi: 10.1007/s11365-023-00834-9. [Google Scholar]
- S. A. Prahara, “Budaya Organisasi dengan Work Engagement pada Karyawan,” J. RAP (Riset Aktual Psikol. Univ. Negeri Padang), vol. 10, no. 2, p. 232, 2020, doi: 10.24036/rapun.v10i2.106977. [Google Scholar]
- S. Mariappanadar, “High Performance Sustainable Work Practices: Scale Development and Validation,” Sustain., vol. 14, no. 19, 2022, doi: 10.3390/su141912682. [Google Scholar]
- A. R. Jamali, A. Bhutto, M. Khaskhely, and W. Sethar, “Impact of leadership styles on faculty performance: Moderating role of organizational culture in higher education,” Manag. Sci. Lett., vol. 12, no. 1, pp. 1–20, 2022, doi: 10.5267/j.msl.2021.8.005. [Google Scholar]
- A. Salas-Vallina, J. Alegre, and A. Lopez-Cabrales, “The challenge of increasing employees’ well-being and performance: How human resource management practices and engaging leadership work together toward reaching this goal,” Hum. Resour. Manage., vol. 60, no. 3, pp. 333–347, 2021, doi: 10.1002/hrm.22021. [Google Scholar]
- R. Machova, T. Zsigmond, K. Lazanyi, and V. Krepszova, “Generations and emotional intelligence a pilot study,” Acta Polytech. Hungarica, vol. 17, no. 5, pp. 229–247, 2020, doi: 10.12700/APH.17.5.2020.5.12. [Google Scholar]
- D. Abun, T. Magallanes, G. S. L. Foronda, and M. J. Encarnacion, “Employees’ workplace well-being and work engagement of divine word colleges’ employees in Ilocos region, Philippines,” Int. J. Res. Bus. Soc. Sci. (2147-4478), vol. 9, no. 2, pp. 70–84, 2020, doi: 10.20525/ijrbs.v9i2.623. [CrossRef] [Google Scholar]
- M. Duran and J. Sanchez, “Employee Engagement and Wellbeing in Times of COVID-19 : A Proposal of the 5Cs Model,” Int. J. Environ. Res. Public Health, vol. 18, no. 5470, pp. 2–15, 2021. [Google Scholar]
- M. Dwi and A. N. A. Hidayatullah, “Positioning AI as a Partner in Work and Action: A Library Research Journal,” Educ. Adm. Theory Pract., vol. 30, no. 4, pp. 2201–2210, 2024, doi: 10.53555/kuey.v30i4.1454. [Google Scholar]
- N. Malik, S. N. Tripathi, A. K. Kar, and S. Gupta, “Impact of artificial intelligence on employees working in industry 4.0 led organizations,” Int. J. Manpow., vol. 43, no. 2, pp. 334–354, 2022, doi: 10.1108/IJM-03-2021-0173. [Google Scholar]
- M. Henderikx and J. Stoffers, “An Exploratory Literature Study into Digital Transformation and Leadership: Toward Future-Proof Middle Managers,” Sustain., vol. 14, no. 2, pp. 1–18, 2022, doi: 10.3390/su14020687. [Google Scholar]
- Y. E. Fukumura, J. M. Gray, G. M. Lucas, B. Becerik-Gerber, and S. C. Roll, “Worker perspectives on incorporating artificial intelligence into office workspaces: Implications for the future of office work,” Int. J. Environ. Res. Public Health, vol. 18, no. 4, pp. 1–15, 2021, doi: 10.3390/ijerph18041690. [Google Scholar]
- D. Kaczorowska-Spvchalska. N. Kotula, G. Mazurek, and L. Sulkowski. “Generative Ai As Source of Change of Knowledge Management Paradigm,” Hum. Technol., vol. 20, no. 1, pp. 131–154, 2024, doi: 10.14254/1795-6889.2024.20-1.7. [Google Scholar]
- A. Alivev, “Conceptual basis of Development and Application of Artificial Intelligence Technologies in Forecasting Economic Processes,” Artif. Soc., vol. 18, no. S1, p. 0, 2023, doi: 10.18254/s207751800028599-7. [Google Scholar]
- M. von Davier, Statistics for Social and Behavioral Sciences. New York USA: Springer Science and Business Media, 2007. [Google Scholar]
- W. J. Boone, M. S. Yale, and J. R. Staver, Rasch analysis in the human sciences. New York: Springer US, 2014. doi: 10.1007/978-94-007-6857-4. [Google Scholar]
- B. Sumintono, Model Rasch untuk Penelitian Ilmu-Ilmu Sosial, November 2. Trim Komunikata, 2014. [Google Scholar]
- J. L. Robertson and J. Barling, “Greening organizations through leaders’ influence on emplovees’ pro-environmental behaviors,” J. Organ. Behav., vol. 34, no. 2, pp. 176–194, 2013, doi: 10.1002/job.1820. [Google Scholar]
- F. Manzoor, L. Wei, T. Banyai, M. Nurunnabi, and Q. A. Subhan, “An examination of sustainable HRM practices on job performance: An application of training as a moderator,” Sustain., vol. 11, no. 8, pp. 1–19, 2019, doi: 10.3390/su11082263. [Google Scholar]
- M. N. Yu and P. Yang, “Empirical development and verification of career well-being scale for teachers in Taiwan: Implications for workplace counseling,” Front. Psychol., vol. 13, no. December, pp. 1–17, 2022, doi: 10.3389/fpsyg.2022.855286. [Google Scholar]
- W. B. Schaufeli and A. B. Bakker, “Defining and measuring work engagement: Bringing clarity to the concept,” Work, pp. 10–24, 2000, [Online]. Available: http://psycnet.apa.org/psycinfo/2010-06187-002 [Google Scholar]
- W. J. Boone and A. Noltemeyer, “Rasch analysis: A primer for school psychology researchers and practitioners,” Cogent Educ., vol. 4, no. 1, pp. 1–13, 2017, doi: 10.1080/2331186X.2017.1416898. [Google Scholar]
- R. P. Hope, P. G. Hoel, and R. J. Jessen, Basic Statistics for Business and Economics 2nd Edition., vol. 26, no. 3. 1977. doi: 10.2307/2346978. [Google Scholar]
- M. Kraska-Miller, Nonparametric statistics for social and behavioral sciences. 2013. doi: 10.1201/b16188. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.