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2019 | 128 | 2 | 391-401
Article title

The use of information systems in human resource management of a mining enterprise

Content
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Languages of publication
EN
Abstracts
EN
In recent years IT technologies certainly have significantly influenced the way human resources are managed. One should remember that using new solutions in the area of IT first of all they should analyse relevance of introduced changes. It should be remembered that using new solutions in the field of IT should first of all analyse the validity of the introduced changes. The article shows that IT systems can also be an important factor improving human resource systems in Polish mining enterprises. Accordingly, in order to reduce the work outsourced, it was proposed to introduce a database enabling the migration of employees within the enterprise. Therefore, a survey was conducted among employees of coal companies in order to check whether the application of the offered database will be accepted by the company's workers and whether currently used IT systems are sufficient.
Year
Volume
128
Issue
2
Pages
391-401
Physical description
Contributors
  • Department of Safety Engineering, Faculty of Mining and Geology, Silesian University of Technology, Gliwice, Poland
References
  • [1] Sara Rynes and Robert P. Gephart Jr. From the Editors: Qualitative Research and the "Academy of Management Journal". The Academy of Management Journal Vol. 47, No. 4 (Aug., 2004), pp. 454-462
  • [2] M. Seth, D. Sethi, Human Resource Outsourcing: Analysis Based On Literature Review. International Journal of Innovation, Management and Technology 2(2) (2011) 127-135
  • [3] D. H.Yang, K. Seongcheol, N. Changi, M. Ja-Won, Developing a decision model for business process outsourcing. Computers & Operations Research, 34 (2007) 3769-3778
  • [4] R. McIvor, What is the right outsourcing strategy for your process? European Management Journal, 26 (2008) 24-34
  • [5] P.J. Holland, R. Hecker, J. Steen , Human resource strategies and organisational structures for managing gold collar workers. Journal of European Industrial Training 26(2/3/4) (2002) 72-80
  • [6] Gorman, G., Hanlon, D., & King, W. (1997). Some research perspectives on entrepreneurship education, enterprise education and education for small business management: a ten-year literature review. International Small Business Journal, 15(3), 56-77
  • [7] Hambrick, D. C., & Mason, P. A. (1984). Upper echelons: The organization as a reflection of its top managers. Academy of Management Review, 9(2), 193-206
  • [8] A.M. Rybak, A. Rybak, Possible strategies for hard coal mining in Poland as a result of production function analysis. Resource Policy 50 (2016) 27-33
  • [9] Colquitt, Jason A., and Cindy P. Zapata-Phelan. Trends in theory building and theory testing: A five-decade study of the Academy of Management Journal. Academy of Management Journal 50.6 (2007) 1281-1303
  • [10] James E. Bartlett II, Joe W. Kotrlik, Chadwick C. Higgin Kotrlik, (2001). Organizational research: Determining appropriate sample size in survey research appropriate sample size in survey research. Information Technology, Learning, and Performance Journal, 19(1), 43-50
  • [11] Avkiran, N. K. (2001). Investigating technical and scale efficiencies of Australian universities through data envelopment analysis. Socio-economic planning sciences, 35(1), 57-80
  • [12] Judge, T. A., Heller, D., & Mount, M. K. (2002). Five-factor model of personality and job satisfaction: A meta-analysis. Journal of Applied Psychology, 87(3), 530
  • [13] Barrick, M. R., & Mount, M. K. (1991). The big five personality dimensions and job performance: a meta‐analysis. Personnel Psychology, 44(1), 1-26
  • [14] Wu, D. D., Chen, S. H., & Olson, D. L. (2014). Business intelligence in risk management: Some recent progresses. Information Sciences, 256, 1-7
  • [15] Ranjan, J., Goyal, D. P., & Ahson, S. I. (2008). Data mining techniques for better decisions in human resource management systems. International Journal of Business Information Systems, 3(5), 464-481
  • [16] Sang M. Lee, Soongoo Hong, (2002). An enterprise‐wide knowledge management system infrastructure, Industrial Management & Data Systems, Vol. 102 Issue: 1, pp.17-25, https://doi.org/10.1108/02635570210414622
  • [17] Lida Xu, Chengen Wang, Xiaochuan Luo, Zhongzhi Shi. Integrating knowledge management and ERP in enterprise information systems. Systems Research and Behavioral Science Volume 23, Issue 2 Special Issue: Knowledge Management in the ERP Era March/April 2006, Pages 147-156. https://doi.org/10.1002/sres.750
  • [18] Taewon Kang, Chulwoo Baek and Jeong-Dong Lee, Effects of knowledge accumulation strategies through experience and experimentation on firm growth, Technological Forecasting and Social Change, 10.1016/j.techfore.2019.04.003, 144, (169-181), (2019).
  • [19] Isaac Vaghefi, Liette Lapointe and Hamidreza Shahbaznezhad, A multilevel process view of organizational knowledge transfer: enablers versus barriers. Journal of Management Analytics, 10.1080/23270012.2018.1424572, 5, 1, (1-17), (2018).
  • [20] M. Fatih Acar, Merve Tarim, Halil Zaim, Selim Zaim and Dursun Delen, Knowledge management and ERP: Complementary or contradictory? International Journal of Information Management, 37, 6, (703), (2017).
  • [21] Yulong Li, Feng Wu, Wei Zong and Bo Li, Supply chain collaboration for ERP implementation. International Journal of Operations & Production Management, 37, 10, (1327), (2017).
  • [22] Shifeng Fang, Yunqiang Zhu, Lida Xu, Jinqu Zhang, Peiji Zhou, Kan Luo and Jie Yang, An integrated system for land resources supervision based on the IoT and cloud computing. Enterprise Information Systems, 10.1080/17517575.2015.1086816, 11, 1, (105-121), (2015).
Document Type
article
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.psjd-b874dcb8-bea3-4713-8c3f-b5cfa0a74c97
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