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Innovation and Vulnerability: Balancing Risk and Reward in Small Business Ventures Rani Santika; Rafi Farizki
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 12 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i12.9163

Abstract

This chapter explores the dynamic relationship between innovation and risk management in small business ventures, emphasizing the need to balance technological advancements with effective safeguards to ensure long-term resilience. As small businesses increasingly adopt digital tools and innovative practices in the context of Industry 5.0, they encounter both growth opportunities and heightened vulnerabilities, particularly in cybersecurity, financial stability, and operational continuity. Through case studies and empirical findings, this chapter demonstrates how phased implementation, risk assessment, and resilience-building technologies, such as data analytics and cybersecurity measures, can help mitigate risks associated with innovation. The chapter underscores the importance of a balanced approach, where strategic innovation aligns with robust risk management, empowering small businesses to achieve sustainable growth and competitive advantage in a rapidly evolving market.
Artificial Intelligence–Assisted English Language Learning: A Collaborative Model between English Education and Informatics Rani Santika; Rafi Farizki
Jurnal Impresi Indonesia Vol. 4 No. 3 (2025): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i3.7581

Abstract

Artificial intelligence (AI) has become increasingly prominent in English as a Foreign Language (EFL) learning, particularly through the use of AI-powered chatbots to support language practice beyond classroom boundaries. However, prior studies report mixed results, often emphasizing technology adoption or learning outcomes while overlooking learners’ psychological experiences. This study aims to examine AI-assisted EFL learning through a collaborative model integrating perspectives from English education and informatics, with a focus on perceived autonomy, perceived interactivity, learner engagement with AI-powered chatbots, and perceived learning outcomes. A quantitative explanatory research design was employed using a cross-sectional survey of EFL learners with prior experience using AI-powered chatbots. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate the proposed research model. The results indicate that perceived autonomy and perceived interactivity have significant positive effects on learners’ engagement with AI-powered chatbots. Learner engagement also shows a significant positive effect on perceived learning outcomes and mediates the relationships between autonomy, interactivity, and learning outcomes. The findings highlight the importance of autonomy-supportive and interactive chatbot design and underscore the value of interdisciplinary collaboration between English education and informatics in fostering meaningful and sustainable AI-assisted EFL learning.
Performance-Based Management and Its Role in Enhancing Organizational Efficiency Rafi Farizki; Rani Santika
Cakrawala Repositori IMWI 289-296
Publisher : Institut Manajemen Wiyata Indonesia & Asosiasi Peneliti Manajemen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52851/cakrawala.v8i5.835

Abstract

Performance-based management has been widely adopted as a managerial approach to enhance organizational efficiency and accountability in increasingly complex and competitive environments. Many organizations continue to experience inefficiencies despite the formal implementation of performance-based management systems, indicating a gap between managerial intentions and actual operational outcomes. This study aims to examine the role of performance-based management in improving organizational efficiency by analyzing its overall effect and the relative contribution of its key dimensions, namely performance planning, performance monitoring, performance evaluation, and performance feedback. The study employs a quantitative explanatory research design, with data collected through a structured survey administered to managerial-level employees involved in the implementation and evaluation of performance-based management practices. The data were analyzed using descriptive and inferential statistical techniques to assess the relationship between performance-based management and organizational efficiency. The findings indicate that performance-based management has a positive and statistically significant effect on organizational efficiency. Performance planning and performance monitoring emerge as the strongest contributors, highlighting the importance of proactive managerial practices, while performance evaluation and feedback exhibit weaker effects, suggesting that their impact depends on the effective use of performance information in managerial decision-making. This study contributes to the performance management literature by offering an integrative organizational-level perspective and provides practical insights for managers seeking to enhance efficiency through effective performance-based management implementation.