IT TOOLS SUPPORTING EMPLOYEE MANAGEMENT IN A HIGH-TECH ENTERPRISE
Aneta KARASEK
aneta.karasek@umcs.plMaria Curie-Sklodowska University, Faculty of Economics, Plac Marii Curie-Skłodowskiej 5, 20-031 Lublin (Poland)
Abstract
Nowadays, the rapid development of Information Technologies in several fields of socio-economic activity can be observed. High-tech companies develop or implement IT solutions in numerous areas, including employee management. In the studied high-tech enterprise, the IT solutions are used in order to facilitate employee management in recruitment and selection, development and training, evaluation, motivation, talent management and personnel-related services. The company implemented an integrated employee management system. This enabled data integration and improvement of employee management. Owing to the implementation of the tools, the company improve work efficiency in the course of procedures being standardized.
Supporting Agencies
References
Arvanitis, S., Seliger, F., & Stucki, T. (2016). The relative importance of human resource management practices for innovation. Economics of Innovation and New Technology, 25(8), 769–800.
DOI: https://doi.org/10.1080/10438599.2016.1158533
Google Scholar
Bodla, A. A., & Ningyu, T. (2017). Transformative HR practices and employee task performance in high-tech firms: The role of employee adaptivity. Journal of Organizational Change Management, 30(5), 710–724. doi:10.1108/JOCM-02-2016-0030
DOI: https://doi.org/10.1108/JOCM-02-2016-0030
Google Scholar
Bondarouk, T., & Brewster, C. (2016). Conceptualising the future of HRM and technology research. International Journal of Human Resource Management, 27(21), 2652–2671. https://doi.org/10.1080/09585192.2016.1232296N
DOI: https://doi.org/10.1080/09585192.2016.1232296
Google Scholar
Chamorro-Premuzic, T., Akhtar, R., Winsborough, D., & Sherman R. A. (2017). The datafication of talent: how technology is advancing the science of human potential at work. Current Opinion in Behavioral Sciences, 8, 13–16. https://doi.org/10.1016/j.cobeha.2017.04.007
DOI: https://doi.org/10.1016/j.cobeha.2017.04.007
Google Scholar
Revenue from information technology (IT) services and software worldwide from 2005 to 2016 (in billion euros). (n.d.). In The Statistics Portal. Retrieved March 1, 2019 from https://www.statista.com/statistics/268632/worldwide-revenue-from-software-and-it-services-since-2005
Google Scholar
Huang, P., & Yao, Ch. (2018). Key success factors in high-tech industry promoting knowledge management. Journal of Interdisciplinary Mathematics, 21(2), 509-517. https://doi.org/10.1080/09720502.2018.1451607
DOI: https://doi.org/10.1080/09720502.2018.1451607
Google Scholar
Intindola, M. L., Lewis, G., Flinchbaugh, C., & Rogers, S. E. (2017): Web-based recruiting’s impact on organizational image and familiarity: too much of a good thing? The International Journal of Human Resource Management. https://doi.org/10.1080/09585192.2017.1332672
DOI: https://doi.org/10.1080/09585192.2017.1332672
Google Scholar
Kirk, J., & Belovics, R. (2007). The high‐ tech industry and its workers. Journal of Employment Counseling, 44(2), 50–59. doi:10.1002/j.2161-1920.2007.tb00024.x
DOI: https://doi.org/10.1002/j.2161-1920.2007.tb00024.x
Google Scholar
El Ouridi, M., El Ouirdi, A., Segers, J., & Pais, I. (2016). Technology Adoption in Employee Recruitment: The Case of Social Media in Central and Eastern Europe. Computers in Human Behaviour, 57, 240–249. https://doi.org/10.1016/j.chb.2015.12.043
DOI: https://doi.org/10.1016/j.chb.2015.12.043
Google Scholar
Marler, J. H., & Parry, E. (2016). Human resource management, strategic involvement and e-HRM technology. The International Journal of Human Resource Management, 27(19), 2233–2253. https://doi.org/10.1080/09585192.2015.1091980
DOI: https://doi.org/10.1080/09585192.2015.1091980
Google Scholar
Meijerink, J. G., Bondarouk, T., & Lepak, D. P. (2016). Employees as Active Consumers of HRM: Linking Employees’ HRM Competences with Their Perceptions of HRM Service Value. Human Resource Management, 55(2), 219– 240. https://doi.org/10.1002/hrm.21719
DOI: https://doi.org/10.1002/hrm.21719
Google Scholar
Patalas-Maliszewska, J. (2014). Can local knowledge workers significantly contribute to the growth of the national level of innovation? Applied Computer Science, 10(1), 44–54.
Google Scholar
Ramírez-Correa, P. E, Rondan-Cataluña, F. J., Arenas-Gaitán, J., & Alfaro-Perez, J. L. (2017). Moderating effect of learning styles on a learning management system’s success. Telematics and Informatics, 34(1), 272–286. https://doi.org/10.1016/j.tele.2016.04.006
DOI: https://doi.org/10.1016/j.tele.2016.04.006
Google Scholar
Payne, S. C., Horner, M. T., Boswell, W. R., Schroeder, A. N., & Stine-Cheyne, K. J. (2009). Comparison of online and traditional performance appraisal systems. Journal of Managerial Psychology, 24(6), 526–544. https://doi.org/10.1108/02683940910974116
DOI: https://doi.org/10.1108/02683940910974116
Google Scholar
Rusell, Ch., & Bennett, N. (2015). Big Data and talent management: Using hard data to make the soft stuff easy. Business Horizons, 58(3), 237–242. https://doi.org/10.1016/j.bushor.2014.08.001
DOI: https://doi.org/10.1016/j.bushor.2014.08.001
Google Scholar
Samuel, O. W., Omisore, M. O., & Atajeromavwo, E. J. (2014). Online fuzzy based decision support system for human resource performance appraisal. Measurement, 55, 452–461. https://doi.org/10.1016/j.measurement.2014.05.024
DOI: https://doi.org/10.1016/j.measurement.2014.05.024
Google Scholar
Sierra-Cedar 2016–2017 HR Systems Survey White Paper, 19th Annual Edition Simón, C., & Esteves, J. (2016). The limits of institutional isomorphism in the design of e-recruitment websites: a comparative analysis of the USA and Spain. The International Journal of Human Resource Management, 27(1), 23–44. https://doi.org/10.1080/09585192.2015.1004186
DOI: https://doi.org/10.1080/09585192.2015.1004186
Google Scholar
Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. (2015). The influence of technology on the future of human resources management. Human Resource Management Review, 25, 216–231. https://doi.org/10.1016/j.hrmr.2015.01.002
DOI: https://doi.org/10.1016/j.hrmr.2015.01.002
Google Scholar
Śliwa, M., & Kosicka, E. (2017). A model of knowledge acquisition in the maintenance department of a production company. Applied Computer Science, 13(3), 41–54. https://doi.org/10.23743/acs-2017-20
Google Scholar
Werbach, K., & Hunter, D. (2012). For the Win: How Game Thinking Can Revolutionize Your Business. Wharton Digital Press.
Google Scholar
Authors
Aneta KARASEKaneta.karasek@umcs.pl
Maria Curie-Sklodowska University, Faculty of Economics, Plac Marii Curie-Skłodowskiej 5, 20-031 Lublin Poland
Statistics
Abstract views: 99PDF downloads: 33
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.