Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
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All Journal Digital Innovation : International Journal Of Management Management Dynamics: International Journal of Management and Digital Sciences
Varinder Singh Rana
Unknown Affiliation
Decision Sciences, Operations Research & Management

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Leveraging Predictive Analytics to Enhance Supply Chain and Logistics Efficiency: Evidence from Indonesia National E-commerce Achmad Daengs; Herman Fland Dakhi; Varinder Singh Rana
Management Dynamics: International Journal of Management and Digital Sciences Vol. 1 No. 2 (2024): April: International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v1i2.444

Abstract

This study explores the integration of predictive analytics into supply chain management within national e-commerce enterprises. Predictive analytics, which utilizes historical data combined with machine learning algorithms, regression analysis, and time series forecasting, has shown significant improvements in operational efficiency. The study focuses on four key areas: demand forecasting, inventory management, transportation optimization, and customer satisfaction. By predicting demand more accurately, e-commerce platforms can reduce stockouts and overstock situations, streamline logistics routes, and lower logistics costs. The implementation of predictive analytics led to a 20% reduction in delivery times and a 15% decrease in logistics costs, thereby enhancing customer satisfaction. However, the study also highlights challenges in integrating real-time data from multiple sources and scaling predictive models across diverse product categories and geographic regions. The results emphasize the need for e-commerce platforms to invest in technology that enables seamless data integration and the development of region-specific predictive models. The findings are compared with industry benchmarks, showing that the improvements in logistics and supply chain performance align with global trends. Based on these results, the study recommends best practices for implementing predictive analytics, including effective data collection, machine learning model training, and scalability considerations. By following these practices, e-commerce companies can optimize their supply chains, reduce operational costs, and increase customer satisfaction, positioning them for greater competitive advantage in the marketplace.
Organizational Support and Justice Effects on Nurses’ Affective Commitment Mediated by Work Engagement Ira Enda Ariani; Intan Silviana Mustikawati; Tjipto Rini; Varinder Singh Rana
Digital Innovation : International Journal of Management Vol. 3 No. 1 (2026): January: Digital Innovation : International Journal of Management
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/digitalinnovation.v3i1.668

Abstract

Employee affective commitment is a critical factor for workforce retention and service quality in healthcare organizations, particularly among nurses who represent the largest professional group in hospitals. Kemayoran X Hospital has experienced persistently high nurse turnover rates, indicating potential deficiencies in affective commitment. This study aimed to examine the influence of perceived organizational support and organizational justice on nurses’ affective commitment, with work engagement serving as an intervening variable. A quantitative cross-sectional design was employed, involving 125 staff nurses at Kemayoran X Hospital selected through purposive sampling. Data were collected using structured self-administered questionnaires distributed via Google Forms and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results demonstrated that perceived organizational support, organizational justice, and work engagement simultaneously exerted a significant effect on affective commitment. Furthermore, perceived organizational support and organizational justice showed significant positive effects on work engagement, which in turn significantly influenced affective commitment. Mediation analysis confirmed that work engagement partially mediated the relationships between perceived organizational support and affective commitment, as well as between organizational justice and affective commitment. These findings indicate that nurses who perceive fair treatment and strong organizational support are more likely to be engaged in their work and emotionally committed to their organization. In conclusion, strengthening organizational support systems, ensuring fairness in decision-making processes, and fostering work engagement are essential managerial strategies to enhance nurses’ affective commitment and reduce turnover in hospital settings.
Co-Authors Achmad Daengs Herman Fland Dakhi Intan Silviana Mustikawati Ira Enda Ariani Tjipto Rini