Publication | Closed Access
The adoption of artificial intelligence powered workforce management for effective revenue growth of micro, small, and medium scale enterprises (MSMEs)
99
Citations
86
References
2022
Year
Artificial IntelligenceBusiness IntelligenceOrganizational CharacteristicEffective Revenue GrowthAi AdoptionIntelligent SystemsHuman Resource ManagementBusiness AnalyticsOrganizational BehaviorInformation Technology ManagementManagementWorkforce ManagementBusiness ScienceMsmes Revenue DevelopmentIntelligent ManagementStrategic ManagementApplied Artificial IntelligenceBusiness GrowthBusinessTechnology
AI has been adopted by large industries for HR and workforce management, yet MSMEs remain largely unserved, a gap exacerbated by pandemic‑induced job losses. The study investigates whether AI‑powered workforce management can support MSMEs in managing employment and driving revenue growth during and after the pandemic. A conceptual framework linking AI‑powered WFM to risk management, business and marketing, and information exchange was tested with six hypotheses using SEM on 307 employee responses. All hypotheses were significant, indicating that AI‑powered WFM can enhance revenue, reduce workforce risk, improve business and marketing, and foster innovative information exchange for MSMEs.
Artificial intelligence (AI) has been used in various industries to provide innovative and intelligent features in micro, small and medium enterprises (MSMEs). Big industries started adopting AI for their HR and workforce management (WFM) activities, however, past literature suggests a lack of AI adoption in MSMEs. In the ongoing pandemic, a large number of job loss is reported in the literature. Thus, artificial intelligence-powered intelligent workforce management (WFM) may be critical during or post-pandemic to manage the huge employment in MSMEs. In this study, we develop and test a conceptual framework based on three areas where AI-powered WFM adoption for MSMEs revenue development has been highlighted. These are (a) risk management (workforce), (b) business and marketing, and (c) information exchange. Six hypotheses have been proposed and tested using structural equation modelling (SEM) with responses from 307 employees. According to the research findings, all of the offered hypotheses are significant. The findings suggest to MSME decision-makers that AI-powered WFM may help revenue growth, workforce risk reduction, intelligent business and marketing, and thoughtful, innovative, and safe information exchange. MSMEs are required to use AI in the information sharing that help in workforce risk management, business and marketing, and intelligent workforce management that scale-up the economic growth.
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