IT TOOLS SUPPORTING EMPLOYEE MANAGEMENT IN A HIGH-TECH ENTERPRISE

Aneta KARASEK

aneta.karasek@umcs.pl
Maria 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

high-tech, IT tools, employee management, development


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

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Published
2019-03-30

Cited by

KARASEK, A. (2019). IT TOOLS SUPPORTING EMPLOYEE MANAGEMENT IN A HIGH-TECH ENTERPRISE. Applied Computer Science, 15(1), 95–103. https://doi.org/10.23743/acs-2019-08

Authors

Aneta KARASEK 
aneta.karasek@umcs.pl
Maria Curie-Sklodowska University, Faculty of Economics, Plac Marii Curie-Skłodowskiej 5, 20-031 Lublin Poland

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