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INITIATING A NEW MODEL IN COMPATIBLE HUMAN RESOURCE MANAGEMENT IN THE ERA OF THE INDUSTRIAL REVOLUTION 4.0 Syech Idrus; Suharyanto Suharyanto; R. Lisye Herlina; Hikmah Sekarningtyas; M. Imron Mas'ud
Komitmen: Jurnal Ilmiah Manajemen Vol 4, No 1 (2023): KOMITMEN: Jurnal Ilmiah Manajemen
Publisher : FEBI UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jim.v4i1.23638

Abstract

The development of human resource management will continue to change along with the times. At the same time, there have been various emerging developments in the model approach within human resource management. This study aims to look at the various models of human resource management approaches and find the most suitable approach to human resource management. This research will be carried out using a descriptive qualitative approach. The data used in this research comes from the results of research and previous studies that are still relevant to the content of this research. The results of this study found that the researcher with the Zoroastrian approach model was the most suitable approach model for human resource management in the Industrial Revolution 4.0 era. This is because, in this approach, values of a fairly high work ethic, empowerment, community improvement, fairness, and good manners are important in developing business excellence.
Digital Marketing and Marketing Performance: The Mediating Role of Big Data Analytics in Indonesian Logistics Firms Hikmah Sekarningtyas; Lenni Lukitasari
Golden Ratio of Mapping Idea and Literature Format Vol. 6 No. 3 (2026): May - July
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grmilf.v6i3.2202

Abstract

This study investigates the effect of digital marketing on marketing performance and examines the mediating role of big data analytics in Indonesian logistics firms. The study is grounded in the Resource-Based View (RBV) and Technology Organization Environment (TOE) frameworks, which emphasize the strategic importance of digital capabilities in enhancing organizational competitiveness. A quantitative explanatory approach with a cross-sectional design was employed. Data were collected from 350 respondents working in logistics companies in Indonesia using purposive sampling combined with company-size stratification. The questionnaire instruments were developed based on previous studies and validated through expert review and pilot testing. Reliability and validity assessments indicated satisfactory results, with Cronbach’s alpha and Composite Reliability values exceeding 0.70 and Average Variance Extracted (AVE) values above 0.50 for all constructs. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The findings revealed that digital marketing positively and significantly affects marketing performance (β = 0.32, p < 0.001) and big data analytics (β = 0.76, p < 0.001). Furthermore, big data analytics significantly influences marketing performance (β = 0.41, p < 0.001) and partially mediates the relationship between digital marketing and marketing performance (β = 0.31, p < 0.001). The model demonstrated substantial explanatory power with an R² value of 0.64 for marketing performance. These findings indicate that integrating digital marketing with big data analytics capability can enhance marketing effectiveness and strengthen competitive advantage in the logistics industry.