Sugianto Sugianto
Sekolah Tinggi Ilmu Ekonomi Indonesia Makassar

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THE EFFECT OF TRANSACTIONAL LEADERSHIP STYLE AND WORK ENVIRONMENT ON EMPLOYEE PERFORMANCE AT THE OFFICE OF CAPITAL INVESTMENT AND ONE-DOOR INTEGRATED SERVICES (DPMPTSP) OF SOUTH SULAWESI PROVINCE Andi Muhammad Ouddang; Hasmawati Hasmawati; Sugianto Sugianto
Jurnal Mahasiswa Manajemen Vol. 2 No. 2 (2026): Hal 01-79
Publisher : Universitas Ichsan Sidenreng Rappang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61912/jaman.v2i2.331

Abstract

The Influence of Transactional Leadership Style and Work Environment on Employee Performance at the Office of Investment and One-Stop Integrated Services (DPMPTSP) of South Sulawesi Province. supervised by Hasmawati as supervisor 1 and Sugianto as supervisor II. The purpose of this study was to determine and analyze the influence of transactional leadership style and work environment partially and simultaneously on employee performance at the office of investment and one-stop integrated services of South Sulawesi Province. This study was conducted at the office of investment and one-stop integrated services of South Sulawesi Province with 89 respondents. The data analysis used was quantitative data analyzed using multiple regression analysis tools through the Statistical Package For Social Science (SPSS) program to find out information about the influence of training and organizational culture partially and simultaneously on employee performance at the office of investment and one-stop integrated services of South Sulawesi Province. The results of this study indicate that partially and simultaneously the variables of transactional leadership style and work environment have a significant effect on employee performance. Based on the research results, it also shows that to improve the performance of employees of the South Sulawesi Province Investment and One-Stop Integrated Services Office, attention is needed to training and organizational culture.
Innovations in Risk Measurement and Management for Strategic Financing Decisions Sugianto Sugianto; Hasriani Hasriani; Randy Mauna Noor
Advances in Management & Financial Reporting Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/amfr.v2i2.263

Abstract

Purpose: This study explores risk measurement and management advancements to inform strategic financing decisions. It highlights the importance of innovative methodologies in enhancing organizational resilience and optimizing resource allocation amidst evolving financial landscapes. Research Design and Methodology: The research employs a robust and comprehensive quantitative descriptive approach, incorporating a systematic literature review and thematic coding techniques to analyze existing scholarly works. This methodology ensures a thorough and reliable examination of prevalent risk factors, existing models' efficacy, and technological solutions' integration in risk management. The findings are therefore grounded in a solid foundation of academic research and analysis. Findings and Discussion: The findings reveal that advanced quantitative models have significantly improved financial risk assessment accuracy, such as Value at Risk (VaR) and Conditional Value at Risk (CVaR). Behavioral finance insights emphasize the impact of cognitive biases on risk perception and decision-making. Technological innovations like artificial intelligence (AI) and blockchain have revolutionized risk management practices by offering real-time data analysis and enhanced transparency. Integrating environmental, social, and governance (ESG) factors into risk frameworks is crucial for aligning organizational strategies with sustainability imperatives. Implications: The research underscores the practical implications for organizations, highlighting the need to adopt a multi-dimensional approach to risk management. This approach combines quantitative models, behavioral insights, and advanced analytics, enabling better anticipation and mitigation of risks. This strategy empowers organizations to make informed strategic financing decisions by fostering organizational resilience and sustainable growth. Future research should focus on longitudinal studies, interdisciplinary collaboration, and the impact of emerging technologies and ESG factors on risk management practices.