Blockchain-Integrated HR Analytics for Improved Employee Management

Authors

  • Niravkumar Dhameliya Software Engineer, Therapy Brands, Birmingham, AL, USA
  • Kishore Mullangi Staff Site Reliability Engineer, Visa Inc., Austin, TX, USA
  • Mohamed Ali Shajahan Sr. Staff SW Engineer, Continental Automotive Systems Inc., Auburn Hills, MI 48326, USA
  • Arun Kumar Sandu Lead Engineer – Databases, Grab Technology, 777 108th Ave NE Unit 1900, Bellevue, WA 98004
  • Md Abul Khair Manager, Consulting Services, Hitachi Vantara, 101 Park Ave #10a, New York, NY 10178, USA

DOI:

https://doi.org/10.18034/abcjar.v9i2.738

Keywords:

Blockchain, HR Analytics, Employee Management, Decentralization, Data Security, Transparency, Smart Contracts

Abstract

This study aims to understand better how blockchain-integrated HR analytics may improve staff management practices in businesses. The study's primary goals are to determine how blockchain technology affects HR procedures, analyze its effects on worker performance, and determine how policies will be affected by its adoption. The paper examines the incorporation of blockchain technology into HR analytics by synthesizing case studies, industry reports, and current literature through a secondary data-based review technique. The main conclusions are improved data security and integrity, streamlined ingenious contract procedures, open decision-making, performance management based on data, and encouraging employee accountability and ownership. Addressing technological complexity, regulatory obstacles, interoperability problems, energy consumption issues, and data access and control problems are some policy consequences. To leverage the benefits of blockchain technology in HRM, policymakers are advised to provide clear regulatory frameworks, invest in technical support and training, and investigate long-term, privacy-preserving solutions. Blockchain-integrated HR analytics present a viable way for businesses to enhance staff management plans and promote organizational efficacy in the digital age.

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References

Alladi, T., Chamola, V., Rodrigues, J. J. P. C., Kozlov, S. A. (2019). Blockchain in Smart Grids: A Review on Different Use Cases. Sensors, 19(22), 4862. https://doi.org/10.3390/s19224862 DOI: https://doi.org/10.3390/s19224862

Ande, J. R. P. K., & Khair, M. A. (2019). High-Performance VLSI Architectures for Artificial Intelligence and Machine Learning Applications. International Journal of Reciprocal Symmetry and Theoretical Physics, 6, 20-30. https://upright.pub/index.php/ijrstp/article/view/121

Anumandla, S. K. R. (2018). AI-enabled Decision Support Systems and Reciprocal Symmetry: Empowering Managers for Better Business Outcomes. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 33-41. https://upright.pub/index.php/ijrstp/article/view/129

Baraka, W. N., Sicato, J. C. S., Rathore, S., Sung, Y., Park, J. H. (2019). Blockchain-Based Secure Storage Management with Edge Computing for IoT. Electronics, 8(8), 828. https://doi.org/10.3390/electronics8080828 DOI: https://doi.org/10.3390/electronics8080828

Cui, P., Guin, U., Skjellum, A., Umphress, D. (2019). Blockchain in IoT: Current Trends, Challenges, and Future Roadmap. Journal of Hardware and Systems Security, 3(4), 338-364. https://doi.org/10.1007/s41635-019-00079-5 DOI: https://doi.org/10.1007/s41635-019-00079-5

Da-Yin, L., Wang, X. (2018). Applications of Blockchain Technology to Logistics Management in Integrated Casinos and Entertainment. Informatics, 5(4), 44. https://doi.org/10.3390/informatics5040044 DOI: https://doi.org/10.3390/informatics5040044

Hegedus, P. (2019). Towards Analyzing the Complexity Landscape of Solidity-Based Ethereum Smart Contracts. Technologies, 7(1), 6. https://doi.org/10.3390/technologies7010006 DOI: https://doi.org/10.3390/technologies7010006

Hughes, J. C., Rog, E. (2008). Talent Management: A Strategy for Improving Employee Recruitment, Retention and Engagement within Hospitality Organizations. International Journal of Contemporary Hospitality Management, 20(7), 743-757. https://doi.org/10.1108/09596110810899086 DOI: https://doi.org/10.1108/09596110810899086

Khair, M. A. (2018). Security-Centric Software Development: Integrating Secure Coding Practices into the Software Development Lifecycle. Technology & Management Review, 3, 12-26. https://upright.pub/index.php/tmr/article/view/124

Khair, M. A., Ande, J. R. P. K., Goda, D. R., & Yerram, S. R. (2019). Secure VLSI Design: Countermeasures against Hardware Trojans and Side-Channel Attacks. Engineering International, 7(2), 147–160. https://doi.org/10.18034/ei.v7i2.699 DOI: https://doi.org/10.18034/ei.v7i2.699

Khatoon, A., Verma, P., Southernwood, J., Massey, B., Corcoran, P. (2019). Blockchain in Energy Efficiency: Potential Applications and Benefits. Energies, 12(17), 3317. https://doi.org/10.3390/en12173317 DOI: https://doi.org/10.3390/en12173317

Koehler, S., Dhameliya, N., Patel, B., & Anumandla, S. K. R. (2018). AI-Enhanced Cryptocurrency Trading Algorithm for Optimal Investment Strategies. Asian Accounting and Auditing Advancement, 9(1), 101–114. https://4ajournal.com/article/view/91

Liu, Y., Huang, J. (2019). Legal Creation of Smart Contracts and the Legal Effects. Journal of Physics: Conference Series, 1345(4). https://doi.org/10.1088/1742-6596/1345/4/042033 DOI: https://doi.org/10.1088/1742-6596/1345/4/042033

Maddula, S. S. (2018). The Impact of AI and Reciprocal Symmetry on Organizational Culture and Leadership in the Digital Economy. Engineering International, 6(2), 201–210. https://doi.org/10.18034/ei.v6i2.703 DOI: https://doi.org/10.18034/ei.v6i2.703

Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2019). From Data to Insights: Leveraging AI and Reciprocal Symmetry for Business Intelligence. Asian Journal of Applied Science and Engineering, 8(1), 73–84. https://doi.org/10.18034/ajase.v8i1.86 DOI: https://doi.org/10.18034/ajase.v8i1.86

Mullangi, K. (2017). Enhancing Financial Performance through AI-driven Predictive Analytics and Reciprocal Symmetry. Asian Accounting and Auditing Advancement, 8(1), 57–66. https://4ajournal.com/article/view/89

Mullangi, K., Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2018). Artificial Intelligence, Reciprocal Symmetry, and Customer Relationship Management: A Paradigm Shift in Business. Asian Business Review, 8(3), 183–190. https://doi.org/10.18034/abr.v8i3.704 DOI: https://doi.org/10.18034/abr.v8i3.704

Nocker, M. (2019). Big Data and Human Resources Management: The Rise of Talent Analytics. Social Sciences, 8(10), 273. https://doi.org/10.3390/socsci8100273 DOI: https://doi.org/10.3390/socsci8100273

Pandita, D., Ray, S. (2018). Talent Management and Employee Engagement – A Meta-analysis of their Impact on Talent Retention. Industrial and Commercial Training, 50(4), 185-199. https://doi.org/10.1108/ICT-09-2017-0073 DOI: https://doi.org/10.1108/ICT-09-2017-0073

Sandu, A. K., Surarapu, P., Khair, M. A., & Mahadasa, R. (2018). Massive MIMO: Revolutionizing Wireless Communication through Massive Antenna Arrays and Beamforming. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 22-32. https://upright.pub/index.php/ijrstp/article/view/125

Sekhar, S., Siddesh, G. M., Kalra, S., Anand, S. (2019). A Study of Use Cases for Smart Contracts Using Blockchain Technology. International Journal of Information Systems and Social Change, 10(2), 15-34. https://doi.org/10.4018/IJISSC.2019040102 DOI: https://doi.org/10.4018/IJISSC.2019040102

Shajahan, M. A. (2018). Fault Tolerance and Reliability in AUTOSAR Stack Development: Redundancy and Error Handling Strategies. Technology & Management Review, 3, 27-45. https://upright.pub/index.php/tmr/article/view/126

Sivathanu, B., Pillai, R. (2019). Leveraging Technology for Talent Management: Foresight for Organizational Performance. International Journal of Sociotechnology and Knowledge Development, 11(2), 16-30. https://doi.org/10.4018/IJSKD.2019040102 DOI: https://doi.org/10.4018/IJSKD.2019040102

Tejani, J. G. (2017). Thermoplastic Elastomers: Emerging Trends and Applications in Rubber Manufacturing. Global Disclosure of Economics and Business, 6(2), 133-144. https://doi.org/10.18034/gdeb.v6i2.737 DOI: https://doi.org/10.18034/gdeb.v6i2.737

Voulgaris, S., Fotiou, N., Siris, V. A., Polyzos, G. C., Jaatinen, M. (2019). Blockchain Technology for Intelligent Environments. Future Internet, 11(10), 213. https://doi.org/10.3390/fi11100213 DOI: https://doi.org/10.3390/fi11100213

Wang, Y., Han, J. H., Beynon-Davies, P. (2019). Understanding Blockchain Technology for Future Supply Chains: A Systematic Literature Review and Research Agenda. Supply Chain Management, 24(1), 62-84. https://doi.org/10.1108/SCM-03-2018-0148 DOI: https://doi.org/10.1108/SCM-03-2018-0148

Yerram, S. R., Mallipeddi, S. R., Varghese, A., & Sandu, A. K. (2019). Human-Centered Software Development: Integrating User Experience (UX) Design and Agile Methodologies for Enhanced Product Quality. Asian Journal of Humanity, Art and Literature, 6(2), 203-218. https://doi.org/10.18034/ajhal.v6i2.732 DOI: https://doi.org/10.18034/ajhal.v6i2.732

Ying, D., Patel, B., & Dhameliya, N. (2017). Managing Digital Transformation: The Role of Artificial Intelligence and Reciprocal Symmetry in Business. ABC Research Alert, 5(3), 67–77. https://doi.org/10.18034/ra.v5i3.659 DOI: https://doi.org/10.18034/ra.v5i3.659

Zheng, X., Zhu, Y., Si, X. (2019). A Survey on Challenges and Progresses in Blockchain Technologies: A Performance and Security Perspective. Applied Sciences, 9(22), 4731. https://doi.org/10.3390/app9224731 DOI: https://doi.org/10.3390/app9224731

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Published

2020-12-31

Issue

Vol. 9 No. 2 (2020): July - December

Section

Articles

License

Copyright (c) 2020 Niravkumar Dhameliya, Kishore Mullangi, Mohamed Ali Shajahan, Arun Kumar Sandu, Md Abul Khair

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How to Cite

Dhameliya, N., Mullangi, K., Shajahan, M. A., Sandu, A. K., & Khair, M. A. (2020). Blockchain-Integrated HR Analytics for Improved Employee Management. ABC Journal of Advanced Research, 9(2), 127-140. https://doi.org/10.18034/abcjar.v9i2.738
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