Sustainable Development of Employee Lifecycle Management in the Age of Global Challenges: Evidence from China, Russia, and Indonesia
Hua Xiang (),
Jie Lu,
Mikhail E. Kosov,
Maria V. Volkova,
Vadim V. Ponkratov,
Andrey I. Masterov,
Izabella D. Elyakova,
Sergey Yu. Popkov,
Denis Yu. Taburov,
Natalia V. Lazareva,
Iskandar Muda,
Marina V. Vasiljeva () and
Angelina O. Zekiy
Additional contact information
Hua Xiang: School of Labor Economics, Capital University of Economics and Business, Beijing 100070, China
Jie Lu: School of Labor Economics, Capital University of Economics and Business, Beijing 100070, China
Mikhail E. Kosov: Department of State and Municipal Finance, Plekhanov Russian University of Economics, 117997 Moscow, Russia
Maria V. Volkova: Department of Industrial Logistics, Bauman Moscow State Technical University, 105005 Moscow, Russia
Vadim V. Ponkratov: Center of Financial Policy, Financial University under the Government of the Russian Federation, 125993 Moscow, Russia
Andrey I. Masterov: Center of Financial Policy, Financial University under the Government of the Russian Federation, 125993 Moscow, Russia
Izabella D. Elyakova: Department of Finance and Banking, North-Eastern Federal University, 677010 Yakutsk, Russia
Sergey Yu. Popkov: Department of Financial Management and Financial Law, Moscow Metropolitan Governance Yury Luzhkov University, 107045 Moscow, Russia
Denis Yu. Taburov: Center for Branch Economics, Research Financial Institute of the Ministry of Finance of the Russian Federation, 127006 Moscow, Russia
Natalia V. Lazareva: Department of Economics, National University of Science & Technology (MISIS), 119049 Moscow, Russia
Iskandar Muda: Department of Doctoral Program, Faculty Economic and Business, Universitas Sumatera Utara, Medan 20222, Indonesia
Marina V. Vasiljeva: Top Management, Autonomous Non-Profit Organization “Publishing House Scientific Review” (Nauchnoe Obozrenie), 127051 Moscow, Russia
Angelina O. Zekiy: Department of Prosthetic Dentistry, I. M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
Sustainability, 2023, vol. 15, issue 6, 1-30
Abstract:
The COVID-19 pandemic has significantly affected the employee lifecycle management (ELM) sphere, leading to the adoption of new human resource (HR) technologies and policies. This study investigates the impact of megatrends, artificial intelligence, digital technologies, and innovation on ELM and human resource management (HRM) policies in China, Russia, and Indonesia. Data were collected through structured interviews and publicly available information from companies in these countries between 2021 and 2022. The study evaluates the effects of artificial intelligence (AI), digital transformation (DT), and innovations on the sustainable development of ELM and identifies differences in technological responses to ELM in companies depending on their level of digital maturity. The results show that the majority of companies have continued the process of ELM digital transformation, but the percentage varies based on the scope of activity, labor, and readiness of the country to implement new technologies. The study reveals that large companies in each analyzed country with over 10,000 employees have a greater need and opportunity to implement HR digital transformation, whereas small companies with up to 100 people can operate without automation. In addition, the findings of this study provide propositions for designing how AI and innovations contribute to ELM. This article contributes to the current debate in the literature by substantiating the positive impact of AI, digital technology, and innovation on ELM and HRM strategies, offering practical applications for companies to improve productivity. Overall, this study highlights the importance of adopting innovative HR technologies in response to global challenges and workplace trends.
Keywords: sustainable human resources management; employee lifecycle management(ELM); global challenges; innovation; artificial intelligence; digital technologies; Russia; China; Indonesia; HR digital transformation; HR-Tech (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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