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All Journal Insight : International Journal of social research
Mar'atus Solikhah
Sekolah Tinggi Manajemen Informatika dan Komputer LIKMI, Indonesia
Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science

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A Business Intelligence-Based Data Governance Model to Reduce the Risk of AI Implementation Failure in Organizations Ghina Fauziyyah; Mar'atus Solikhah
International Journal of Social Research Vol. 4 No. 2 (2026): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v4i2.94

Abstract

The implementation of Artificial Intelligence (AI) in organizations is increasing along with the development of digital transformation and the need for data-driven decision-making. However, various studies show that many AI projects fail due to poor data quality, lack of data integration, and weak data governance within the organization. In this context, Business Intelligence (BI) has the potential to support systematic data management through data integration, analytics, and information visualization. Therefore, a data governance model integrated with Business Intelligence is needed to improve the quality of data management and reduce the risk of AI implementation failure. This study aims to develop a Business Intelligence-based Data Governance model that can reduce the risk of Artificial Intelligence implementation failure in organizations and increase the effectiveness of data-driven decision-making. This study uses a quantitative approach with an explanatory research method. Research data were obtained by distributing questionnaires to respondents involved in data management and the implementation of organizational analytical systems. Data analysis was conducted using the Structural Equation Modeling (SEM) method with the Partial Least Squares (PLS) approach to examine the relationship between data governance variables, Business Intelligence capability, and AI implementation risk. The results of this study indicate that data governance significantly impacts Business Intelligence capabilities, which in turn contributes to reducing the risk of AI implementation failure within organizations. Furthermore, data quality is shown to be a crucial mediating factor linking data governance to successful AI implementation. This study produces a Business Intelligence-based Data Governance conceptual model that can be used as a framework for organizational data management to support more effective AI implementation.
Sustainability Analysis of Subscription Economy Business Model on Platform Streaming Amidst Fierce Competition Mar'atus Solikhah
International Journal of Social Research Vol. 4 No. 2 (2026): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v4i2.95

Abstract

The development of the digital economy has driven the adoption of the subscription economy as a primary revenue source for streaming platforms. This model offers revenue stability through recurring payment mechanisms, but amidst increasingly fierce competition between platforms, the sustainability of the subscription business model faces serious challenges. High churn rates, content homogeneity, and increasing user price sensitivity demand more adaptive and long-term sustainability strategies. This study aims to analyze the factors influencing the sustainability of the subscription business model on streaming platforms amidst intense competition, with a focus on customer retention, perceived value, pricing strategy, content differentiation, and user experience. This study uses a quantitative approach with an explanatory design. Data were collected through an online survey of active users of subscription-based streaming platforms using a purposive sampling technique. Data analysis was performed using the Structural Equation Modeling method using the Partial Least Squares (SEM-PLS) approach. The results show that customer retention is the most dominant factor in maintaining the sustainability of the subscription business model. In addition, perceived value, adaptive pricing strategy, content differentiation, and user experience have a significant influence on reducing churn and increasing customer loyalty, thus supporting the sustainability of streaming platforms.
Co-Authors Ghina Fauziyyah