The contribution of HRM with AI for customer relationships management during the COVID-19 pandemic in the corporate sector

V. Mahalakshmi

International Journal of Indian Culture and Business Management, 2024, vol. 31, issue 4, 501-515

Abstract: As COVID-19 cases increase, many countries have enforced a lockdown. It worsens the global economic situation. International trade, supply networks, and the services industry have high unemployment. AI and technology assist their company restructure. AI builds a smart, innovative economy. AI decreases personal and professional worries. This study will examine HRM's role in minimising COVID-19's worker consequences. AI investment risks will also be examined. The literature review examines employee retention motivator ideas and the company's intelligence prediction system. Firm strategy includes research to limit COVID-19's influence. One hundred fifty non-probability respondents participated in correlation and descriptive statistics. The paper shows how HR can boost employee satisfaction. Profits and values can be boosted via workplace instructions, help, and information. AI can help small and medium-sized enterprises with COVID-19 manufacturing contact customers online, predict cash flow, and streamline HR. AI helps SMBs raise their dynamic capacities by employing technology to match creative demand methods, pivot quickly, increase efficiency, and reduce investment risk. Intelligence helps with data management. These strategies boost responsiveness, adaptability, and efficiency. Hybrid systems will grow.

Keywords: human resource management; HRM; customer relationship; employee; corporate sector; statistical metrics; COVID-19's influence; supply networks; SMEs. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=137936 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijicbm:v:31:y:2024:i:4:p:501-515

Access Statistics for this article

More articles in International Journal of Indian Culture and Business Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().