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Measuring Employee Productivity with AI: Opportunities and Challenges for HR Sugeng Riyadi; Mohamad Halilintar
Greenation International Journal of Economics and Accounting Vol. 3 No. 4 (2025): Greenation International Journal of Economics and Accounting (December 2025 - F
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijea.v3i4.642

Abstract

The development of artificial intelligence (AI) technology has revolutionized various aspects of human resource management, including employee productivity measurement. This research explores AI implementation in measuring employee productivity and identifies opportunities and obstacles faced by HR departments. Through a qualitative approach using in-depth interviews and documentation studies, this research involved 15 HR practitioners from various industries in Indonesia. Results show that AI can improve productivity measurement accuracy by up to 67% compared to conventional methods. Main opportunities include evaluation process automation, real-time data analysis, and performance assessment personalization. However, significant obstacles were found in data privacy aspects, employee resistance, and technology implementation complexity. This research provides strategic recommendations for organizations seeking to adopt AI for effective employee productivity measurement.
The Relationship Between Creativity, Innovation, and Business Performance in The Creative Economy Sugeng Riyadi; Cicih Ratnasih
Asian Journal of Social and Humanities Vol. 4 No. 9 (2026): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v4i9.731

Abstract

The creative economy is a rapidly growing sector in Indonesia, contributing 6.54% to GDP in 2022 and reaching a value of Rp 1.28 quadrillion. This research aims to analyze the relationship between creativity, innovation, and business performance in the creative economy. A quantitative approach using a survey method was employed, involving 200 creative economy business actors in Semarang City, with purposive sampling as the sampling technique. A structured Likert-scale questionnaire was used as the research instrument. Data were analyzed using Structural Equation Modeling (SEM) with SmartPLS 3.0. The results show that creativity significantly and positively affects product innovation (? = 0.672, p < 0.001), innovation significantly and positively affects business performance (? = 0.548, p < 0.001), and creativity directly affects business performance (? = 0.384, p < 0.001). These findings demonstrate that creativity and innovation are key factors in improving business performance in the creative economy. In conclusion, creativity serves as both a direct driver of business performance and an indirect driver through innovation, with the indirect effect accounting for 48.9% of the total effect. This confirms that fostering both creativity and systematic innovation management is essential for optimizing performance in the creative economy. This research contributes to the development of innovation management theory and provides practical recommendations for creative economy entrepreneurs.