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All Journal Advances in Management & Financial Reporting Advances in Human Resource Management Research
Ceskakusumadewi Baharuddin
Universitas Global Jakarta, Indonesia
Economics, Econometrics & Finance

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Work Environment and Work Motivation on Employee Performance Ceskakusumadewi Baharuddin; Panus Panus
Advances in Human Resource Management Research Vol. 3 No. 3 (2025)
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/ahrmr.v3i3.742

Abstract

Purpose: This study aims to analyze the effects of the work environment and work motivation on employee performance at the Makassar City Transportation Agency, both individually and collectively, as a basis for strengthening human resource management in the public service sector. Research Design and Methodology: This study employs a quantitative, causal design. The study population and sample consist of 92 employees of the Makassar City Transportation Agency, selected using a saturation sampling technique. Data were collected using a questionnaire. Data analysis employed the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach using the SmartPLS software. The evaluation stages included the measurement model (outer model), structural model fit (inner model), and hypothesis testing via the bootstrapping procedure. Findings and Discussion: The results of the study indicate that the work environment and work motivation have a positive and significant effect on employee performance, both individually and collectively. These findings confirm that the interaction between a conducive work environment and strong work motivation shapes civil servant performance. Implications: This study suggests that improving employee performance requires enhancing both the physical and psychosocial aspects of the work environment, as well as strengthening a sustainable system of work motivation to foster greater professionalism among civil servants.
Leveraging Big Data for Competitive Advantage: A Review in Business Analytics Mozes Haryanto Baottong; Ceskakusumadewi Baharuddin; Fitri Indah Sari M; Halida Sasmita; Karta Negara Salam
Advances in Management & Financial Reporting Vol. 3 No. 3 (2025)
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/amfr.v3i3.604

Abstract

Purpose: This study examines the strategic integration of big data analytics for achieving competitive advantage in business analytics. Research Method: This study employs a mixed-methods approach, integrating a comprehensive literature review with empirical investigation. Quantitative data was collected via surveys from 200 senior executives, data scientists, and IT managers across various industries. Qualitative data were gathered through semi-structured interviews with 30 participants, providing in-depth insights into the strategic, organizational, and cultural factors influencing the implementation of big data. Results and Discussion: The findings reveal that strategic alignment is crucial for the successful implementation of significant data initiatives—companies with clear strategic alignment report higher returns on investment. Big data significantly enhances customer segmentation, targeting, and personalization in marketing, while also improving supply chain visibility and resilience. However, challenges such as the skills gap, data quality issues, and security concerns impede effective utilization. The study emphasizes the importance of fostering a data-driven culture and implementing robust data governance frameworks. The discussion links these findings with theoretical concepts, supporting hypotheses, and prior research, highlighting the need for integrated frameworks that align significant data initiatives with business strategies. Implications: The study provides practical guidelines for organizations to enhance their competitive advantage by leveraging big data. Recommendations include developing integrated strategies, investing in training programs, promoting data literacy, and ensuring high data quality and security. Addressing these challenges enables organizations to leverage big data analytics for a sustained competitive advantage fully.
Co-Authors Fitri Indah Sari M Halida Sasmita Karta Negara Salam Mozes Haryanto Baottong Panus Panus