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Journal : West Science Interdisciplinary Studies

Analysis of the Impact of Process Automation and Human Resource Management on Production Completion Time and Product Quality in the Fast Food Industry in West Java Mohammad Gifari Sono; Apriyanto Apriyanto; Ellys Nurhaliza
West Science Interdisciplinary Studies Vol. 2 No. 12 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i12.1521

Abstract

This study investigates the impact of process automation and human resource management (HRM) on production turnaround time and product quality in the fast food industry in West Java. Using a quantitative research design, data were collected from 180 respondents through a structured questionnaire and analyzed using Structural Equation Modeling with Partial Least Squares (SEM-PLS 3). The findings reveal that both process automation and HRM significantly influence production turnaround time and product quality, with automation showing a stronger impact on quality and HRM demonstrating a more substantial effect on turnaround time. The study highlights the synergistic relationship between automation and HRM, emphasizing their combined role in achieving operational efficiency and maintaining high product standards. These results provide actionable insights for fast food businesses to integrate technological advancements with strategic human resource practices, ensuring competitiveness in a dynamic market.
The Effect of Recommendation Algorithms and Provision of Digital Facilities on Purchasing Patterns and Consumer Loyalty on E-Commerce Platforms in Jakarta Frans Sudirjo; Apriyanto Apriyanto; Muhamad Ammar Muhtadi
West Science Interdisciplinary Studies Vol. 3 No. 02 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i02.1692

Abstract

This study investigates the effect of recommendation algorithms and the provision of digital facilities on purchasing patterns and consumer loyalty in e-commerce platforms in Jakarta. Using a quantitative approach, data was collected from 180 respondents through a structured questionnaire utilizing a Likert scale (1-5). The data was analyzed using Structural Equation Modeling with Partial Least Squares (SEM-PLS 3). The results show that recommendation algorithms have a significant positive impact on both consumer loyalty and purchasing patterns, with path coefficients of 0.454 and 0.419, respectively. Additionally, the provision of digital facilities also influences consumer loyalty (0.360) and purchasing patterns (0.405). The study found that enhancing both personalized recommendations and digital infrastructure can significantly improve customer retention and sales, emphasizing the importance of these factors for e-commerce platforms in Jakarta. The model’s R² values suggest that it explains a substantial portion of the variance in consumer loyalty (0.567) and purchasing patterns (0.580), with high predictive relevance. The findings provide practical insights for e-commerce businesses to optimize user experience and strengthen consumer relationships, contributing to improved competitive advantage in the digital market.