Cloud computing is enabling human resource (HR) management functions to strategically integrate into business operations. Its acting as a game changer for HR amid intense competition to survive and grow. Digital disruption, transformation, agility has set the new benchmarks for organizations to automate and redesign their functions. Cloud Computing offers HR a completely new dimension with cloud centric benefits like reduction in communication gap, increased organizational excellence, effective talent strategies, data driven decision making, and supporting revenue in organizations. Cloud Computing has the right capability to redesign major HR functions with agility to match the changing requirements of business, automating transactional activities, smarter decision making and meeting the business expectations. Use of HR cloud in organization can result into structural benefits beyond technological advancements. Cloud HR gives organizations flexibility of location, prompt information processing, effective use of data analytics and strategic decision making. This paper discusses ways through which cloud computing could be integrated into HR functions. An analysis on applications of cloud computing in human resource areas with their outcomes is also presented in this paper. A brief note on future prospects of cloud computing in HRM is also discussed.
Accenture and Oracle (2014). The Future of HR. Retrieved from https://www.accenture.com/_acnmedia/accenture/conversion-assets/dotcom/documents/global/pdf/digital_1/accenture-oracle-hcm-ebook-future-of-hr-five-technology-imperatives.pd
Baesens, B., Winne, S., & Sels, L. (2016). Is Your Company Ready for HR Analytics? MIT Sloan Management Review
Bassi, L., & McMurrer, D. (2016). Four lessons learned in how to use human resource analytics to improve the effectiveness of leadership development. The Journal of Leadership Studies, 10(2), 39–43. doi:10.1002/jls.21471
Bhadami, R (2014.) A New Dimension in HRM: Cloud Computing. International Journal of Business and Management Invention, 3(7), 13-15.
Blaisdell, R (2015). Benefits of Cloud Computing for HR and recruiting. Retrieved from https://rickscloud.com/benefits-of-cloud-computing-for-hr-and-recruiting
Cicconi, F et al (2016). Cloud HR: The Future Belongs to the Bold. Retrieved from https://assets.kpmg/content/dam/kpmg/pdf/2016/07/cloud-hr-the-future-belongs-to-the-bold.pdf
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. doi:10.1108/ER-07-2013-0079 Fecheyr-Lippens, B., Schaninger, B., & Tanner, K. (2015). Power to the new people analytics. The McKinsey Quarterly, 51(1), 61–63. Retrieved from https://www.mckinsey.com/business-functions/organization/our-insights/power-to-the-new-people-analytics
King, K. G. (2016). Data Analytics in Human Resources: A Case Study and Critical Review. Human Resource Development Review, 15(4), 487–495. doi:10.1177/1534484316675818
Kumar, R (2017). Cloud Technology and Human Resource Management. Annual Research Journal of SCMS, 5, 82-91.
Levenson, A. (2018). Using workforce analytics to improve strategy execution. Human Resource Management, 57(3), 685–700. doi:10.1002/hrm.21850
Malikowski, J (2020). Enabling HR Service Delivery. Retrieved 23/12/2019 from https://www2.deloitte.com/global/en/pages/human-capital/articles/cloud-hr.html
Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of HR Analytics. International Journal of Human Resource Management, 28(1), 3–26. doi:10.1080/09585192.2016.1244699
Mell Peter and Grance Timoth. (2011). “The NIST Definition of Cloud Computing”. Recommendations of the National Institute of Standards and Technology, U.S. Department of Commerce.
Mukherjee A et al (2012). An Approach to Cloud Computing in HR Domain for Small Enterprise Solution. Indian Journal of Computer Science and Engineering, Vol 3(2), 288-292. Retrieved from http://www.ijcse.com/docs/INDJCSE12-03-02-105.pdf
Othman, Muhaini & Arif, Mastura & Abdullah, Mohd Hafizul Afifi & Mohd Yusof, Munirah & Mohamed, Rozlini. (2017). Human Resource Management on Cloud. JOI : International Journal on Informatics Visualization. Vol(1). 260. 10.30630/joiv.1.4-2.80
Patre, S. (2016). Six Thinking Hats Approach to HR Analytics. SA Journal of Human Resource Management, 3(2), 191–199. doi:10.1177/2322093716678316
Prajapati, V (2018). The Impact of Cloud Computing in Human Resource Management. Retrieved from https://www.techprevue.com/impact-cloud-computing-hrm/
Quirk, E (2019). The Benefits of Cloud Computing in HR. Retrieved from https://solutionsreview.com/talent-management/2019/08/20/the-benefits-of-cloud-computing-in-hr/
Sand, R (2018). HR and Cloud Computing: How the Cloud is Transforming HR. Retrieved from HR Technologist: https://www.hrtechnologist.com/articles/digital-transformation/hr-and-cloud-computing-how-the-cloud-is-transforming-hr/
Tyagi, S (2017). Benefits of Cloud Computing for Human Resources. Retrieved from https://www.naukrirms.com/blog/cloud-computing-benefits-hr/
Ulrich, D., & Dulebohn, J. H. (2015). Are we there yet? What’s next for HR? Human Resource Management Review, 25(2), 188–204. doi:10.1016/j.hrmr.2015.01.004
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. doi:10.1108/JOEPP-03-2017-0022
Ziebell, Robert & Albors, Jose & Schoeneberg, Klaus Peter & Perello-Marin, M Rosario. (2019). Adoption and Success of e-HRM in a Cloud Computing Environment: A Field Study. International Journal of Cloud Applications and Computing. 9. 1-27. 10.4018/IJCAC.2019040101.
| Periodicity | Biannually |
| Issue-1 | May |
| Issue-2 | November |
| ISSN Print | 2321-2217 |
| ISSN Online | 2321-2225 |
| RNI No. | CHAENG/2013/50088 |
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