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Sustainable Performance Model and Strategy: A Conceptual Framework Arifin, Firmansyah; Wiryono, Sudarso Kaderi; Damayanti, Sylviana Maya; Yudoko, Gatot
International Journal of Entrepreneurship and Sustainability Studies Vol. 3 No. 2 (2023): December 2023
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijeass.v3i2.1904

Abstract

This study is driven by the conditions of the energy sector, particularly the "oil field service industry" which serves as the main pillar of this sector. The significant oil price drop and the need for cost-cutting among oil and gas producers shows the vulnerabilities in this sector, necessitating improvement. Generally, industries that support key commodities must exhibit strong operational performance that intricately intertwines with the corporate strategy, mitigating potential obstacles, challenges, and business risks in order to achieve sustainable performance. Thus, this research aims to investigate how to develop a sustainable performance model for the industry in helping the industries the current and future business challenges. A systematic literature review was undertaken, encompassing prior studies on sustainable business, performance, and risk management strategies. This study investigates the dynamic interaction between three primary constructs: (1) context-business sustainability, (2) content-performance management, and (3) process-strategy formulation. Finally, gaps in the existing literature were identified and several future research directions were proposed.
Financial Robo-Advisor: Learning from Academic Literature Hasanah, Eneng Nur; Wiryono, Sudarso Kaderi; Koesrindartoto, Deddy P.
Jurnal Minds: Manajemen Ide dan Inspirasi Vol 10 No 1 (2023): June
Publisher : Management Department, Universitas Islam Negeri Alauddin Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/minds.v10i1.33428

Abstract

Financial Robo-Advisor is the technology that integrates machine learning and self-identification to determine investment decisions. This study explores the financial robo-advisor based on bibliometric analysis and a systematic literature review. The method used three steps: determining the keyword, bibliometric analysis of literature metadata using VOSviewer, then collecting and analysing the articles. The bibliometric analysis results show five cluster keywords defined with different colors. In the network visualization, the robo-advisor connects to other keywords: investment, fintech, and artificial intelligence. Furthermore, the systematic literature review shows that the articles are divided into seven research objectives: (1) Law, Regulation, and Policy; (2) Investment Literate and Education; (3) Offered Services; (4) Present Risk-Portfolio Matching Technology; (5) Optimal Portfolio Methods; (6) Human-Robo Interaction; (7) Theoretical Design and Gap. Furthermore, this study can be used by academicians and practitioners to find out about robo-advisors based on an academic perspective.
ESG, CYBER GOVERNANCE, OPERATIONAL RISK IN BANK RESILIENCE: EVIDENCE FROM INDONESIAN BANKS Trisna Aminwara; Sudarso Kaderi Wiryono; Raden Aswin Rahadi
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 8 (2026): JULY
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study examines how ESG and cyber governance relate to operational risk and bank resilience in Indonesia, with bank stability used as its measurable aspect. Using balanced panel data from 17 KBMI 3 and KBMI 4 banks during 2019–2024, the study applies Fixed Effects regression with robust standard errors and year dummy variables. ESG and cyber governance are measured using disclosure-based indexes from annual and sustainability reports. Bank stability is measured using the natural logarithm of the Z-score, while operational risk is measured by operational risk-weighted assets divided by total risk-weighted assets. The findings show that ESG has no significant direct relationship with bank stability or operational risk. Operational risk is positively related to bank stability, reflecting risk-weighted exposure and capital absorption rather than suggesting that operational failures improve stability. The main finding is that cyber governance negatively moderates the ESG–operational risk relationship, indicating that stronger cyber governance reduces the marginal operational risk association of ESG. Based on these findings, a KRI-Based ESG–Cyber Governance–Operational Risk Monitoring Framework is proposed.