CLOUD COMPUTING AS A CREATIVE APPROACH OF HUMAN CAPITAL MANAGEMENT
DOI:
https://doi.org/10.61841/dq4jy972Keywords:
Cloud computing, human resources, competitive advantage, organization's efficiency, innovativenessAbstract
Cloud computing is the latest and burning topic for individuals, academician, researchers and the business community. Cloud computing is a integration of abstract, highly scalable and regulated resources that is capable of hosting customer applications and is paid according to usage. This computational paradigm was viewed as a key factor for gaining competitive advantage in the globalized marketplace as well as sustainability. In addition, human resources managers often use cloud computing technology for their daily operations, such as searching for resumes, tracking applications, building mobile human capital, improving flexibility, monitoring efficiency, fast decision-making, and others. On the other hand, some of the problems that arise when taking advantage of cloud computing are privacy concerns, protection concerns, data misuse and data loss. Implementation of appropriate authorization, validation, tracking, filter application and others will help to address cloud computing challenges and achieve long-term sustainability on the global marketplace. HR and cloud computing model collaboration would thus help to improve an organization's efficiency, innovativeness, and intellectual capital.
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1. Alam, M. G. R., Masum, A. K. M., Beh, L. S., & Hong, C. S. (2016). Critical factors influencing decision to adopt human resource information system (HRIS) in hospitals. PLoS One, 11(8), 1–22. https://doi.org/10.1371/journal.pone.0160366
2. Amalou-Döpke, L., & Süß, S. (2014). HR measurement as an instrument of the HR department in its exchange relationship with top management: A qualitative study based on resource dependence theory. Scandinavian Journal of Management, 30(4), 444–460. https://doi.org/10.1016/j.scaman.2014.09.003
3. Baesens, B., Winne, S., & Sels, L. (2016). Is your company ready for HR analytics? MIT Sloan Management Review.
4. BarNir, A., Gallaugher, J. M., & Auger, P. (2003). Business process digitization, strategy, and the impact of firm age and size: The case of the magazine publishing industry. Journal of Business Venturing, 18(6), 789–814. https://doi.org/10.1016/S0883-9026(03)00030-2
5. Bassi, L., & McMurrer, D. (2016). Four lessons learned in how to use human resource analytics to improve the effectiveness of leadership development. Journal of Leadership Studies, 10(2), 39–43. https://doi.org/10.1002/jls.21471
6. Bondarouk, T., Harms, R., & Lepak, D. (2017). Does e-HRM lead to better HRM service? International Journal of Human Resource Management, 28(9), 1332–1362. https://doi.org/10.1080/09585192.2015.1118139
7. Bondarouk, T., Ruël, H., & van der Heijden, B. (2009). e-HRM effectiveness in a public sector organization: A multi-stakeholder perspective. International Journal of Human Resource Management, 20(3), 578–590. https://doi.org/10.1080/09585190802707359
8. Carlson, K. D., & Kavanagh, M. J. (2008). HR metrics and workforce analytics. In Human Resource Information Systems: Basics, Applications, and Future Directions (pp. 387–421).
9. Chhinzer, N., & Ghatehatehorde, G. (2009). Challenging relationships: HR metrics and organizational financial performance. The Journal of Business, 8(1), 37–48. https://doi.org/10.1016/j.jwb.2009.09.014
10. Dery, K., Hall, R., Wailes, N., & Wiblen, S. (2013). Lost in translation? An actor-network approach to HRIS implementation. The Journal of Strategic Information Systems, 22(3), 225–237. https://doi.org/10.1016/j.jsis.2013.03.002
11. Devaraj, S., Krajewski, L., & Wei, J. C. (2007). Impact of eBusiness technologies on operational performance: The role of production information integration in the supply chain. Journal of Operations Management, 25(6), 1199–1216. https://doi.org/10.1016/j.jom.2007.01.002
12. Dhamija, P. (2012). E-recruitment: A roadmap towards e-human resource management. Journal of Arts, Science & Commerce, 3(3(2)), 33–39.
13. Dulebohn, J. H., & Johnson, R. D. (2013). Human resource metrics and decision support: A classification framework. Human Resource Management Review, 23(1), 71–83. https://doi.org/10.1016/j.hrmr.2012.06.005
14. Eckhardt, A., Laumer, S., Maier, C., & Weitzel, T. (2014). The transformation of people, processes, and IT in e-recruiting. Employee Relations, 36(4), 415–431. https://doi.org/10.1108/ER-07-2013-0079
15. Fisher, S. L., & Howell, A. W. (2004). Beyond user acceptance: An examination of employee reactions to information technology systems. Human Resource Management, 43(2–3), 243–258. https://doi.org/10.1002/hrm.20018
16. Florkowski, G. W., & Olivas-Luján, M. R. (2006). The diffusion of human resource information technology innovations in US and non-US firms. Personnel Review, 35(6), 684–710. https://doi.org/10.1108/00483480610702737
17. Francis, H., Parkes, C., & Reddington, M. (2014). E-HR and international HRM: A critical perspective on the discursive framing of e-HR. International Journal of Human Resource Management, 25(10), 1327–1350. https://doi.org/10.1080/09585192.2013.870309
18. Garbarino-Alberti, H. (2013). IT governance and human resources management: A framework for SMEs. International Journal of Human Capital and Information Technology Professionals, 4(3), 40–57. https://doi.org/10.4018/jhcitp.2013070104
19. Grant, D., & Newell, S. (2013). Realizing the strategic potential of e-HRM. The Journal of Strategic Information Systems, 22(3), 187–192. https://doi.org/10.1016/j.jsis.2013.07.001
20. Gueutal, H. G., & Stone, D. L. (2005). The Brave New World of eHR: Human Resources Management in the Digital Age. San Francisco: Jossey-Bass.
21. Gummesson, E. (2006). Qualitative research in management: Addressing complexity, context and persona. Management Decision, 44(2), 167–179. https://doi.org/10.1108/00251740610650175
22. Heikkilä, J.-P., Brewster, C., & Mattila, J. (2014). Micro-political conflicts and institutional issues during e-HRM implementation in MNCs: A vendor’s view. In Human Resource Management and Technological Challenges (pp. 1–21). Springer. https://doi.org/10.1007/978-3-319-02618-3_1
23. Jafari Navimipour, N., Rahmani, A. M., Navin, A. H., & Hosseinzadeh, M. (2015). Expert Cloud: A cloud-based framework to share the knowledge and skills of human resources. Computers in Human Behavior, 46, 57–74. https://doi.org/10.1016/j.chb.2015.01.001
24. Khan, H., Hussainy, S. K., Khan, K., & Khan, A. (2017). The applications, advantages and challenges in the implementation of HRIS in Pakistani perspective. VINE Journal of Information and Knowledge Management Systems, 47(1), 137–150. https://doi.org/10.1108/VJIKMS-01-2016-0005
25. King, K. G. (2016). Data analytics in human resources: A case study and critical review. Human Resource Development Review, 15(4), 487–495. https://doi.org/10.1177/1534484316675818
26. Laumer, S., Maier, C., & Eckhardt, A. (2014). The impact of human resources information systems and business process management implementations on recruiting process performance: A case study. Twentieth Americas Conference on Information Systems, 1–12. https://doi.org/10.1007/s11573-014-0758-9
27. Lawler, E. J., Levenson, A., & Boudreau, J. W. (2004). Effective organizations: HR metrics and analytics – uses and impacts. Human Resource Planning, 27(4), 27–35.
28. Levenson, A. (2018). Using workforce analytics to improve strategy execution. Human Resource Management, 57(3), 685–700. https://doi.org/10.1002/hrm.21850
29. Lin, A., & Chen, N. C. (2012). Cloud computing as an innovation: Perception, attitude, and adoption. International Journal of Information Management, 32(6), 533–540. https://doi.org/10.1016/j.ijinfomgt.2012.04.001
30. Lin, L.-H. (2011). Electronic human resource management and organizational innovation: The roles of information technology and virtual organizational structure. International Journal of Human Resource Management, 22(2), 235–257. https://doi.org/10.1080/09585192.2011.540149
31. Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems, 111(7), 1006–1023. https://doi.org/10.1108/02635571111161262
32. Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2013). Analyzing the impact of HRIS implementations on HR personnel’s job satisfaction and turnover intention. The Journal of Strategic Information Systems, 22(3), 193–207. https://doi.org/10.1016/j.jsis.2012.09.001
33. Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of HR analytics. International Journal of Human Resource Management, 28(1), 3–26. https://doi.org/10.1080/09585192.2016.1244699
34. Marler, J. H., & Fisher, S. L. (2013). An evidence-based review of e-HRM and strategic human resource management. Human Resource Management Review, 23(1), 18–36. https://doi.org/10.1016/j.hrmr.2012.06.002
35. Masum, A. K. M., Kabir, M. J., & Chowdhury, M. M. (2015). Determinants influencing the adoption of E-HRM: An empirical study on Bangladesh. Asian Social Science, 11(21), 117–124. https://doi.org/10.5539/ass.v11n21p117
36. McIver, D., Lengnick-Hall, M. L., & Lengnick-Hall, C. A. (2018). A strategic approach to workforce analytics: Integrating science and agility. Business Horizons, 61(3), 397–407. https://doi.org/10.1016/j.bushor.2018.01.005
37. Nagendra, A., & Deshpande, M. (2014). Human resource information systems (HRIS) in HR planning and development in mid to large sized organizations. Procedia – Social and Behavioral Sciences, 133, 61–67. https://doi.org/10.1016/j.sbspro.2014.04.169
38. Stone, D. L., & Deadrick, D. L. (2015). Challenges and opportunities affecting the future of human resource management. Human Resource Management Review, 25(2), 139–145. https://doi.org/10.1016/j.hrmr.2015.01.003
39. van den Heuvel, S., & Bondarouk, T. (2017). The rise (and fall?) of HR analytics. Journal of Organizational Effectiveness: People and Performance, 4(2), 157–178. https://doi.org/10.1108/JOEPP-03-2017-0022
40. Zapotocny, M. (2015). Human resource information systems: The current problems and future challenges. In Innovation Vision 2020: From Regional Development Sustainability to Global Economic Growth (pp. 2606–2614).
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