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Insight : International Journal of social research
Published by PT. Worldwide Research Publishing
ISSN : -     EISSN : 3032453X     DOI : https://doi.org/10.59888/insight
Core Subject : Economy, Humanities, Science, Social,
Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science
Insight : International Journal of Social Research is a scientific journal in the form of research and can be accessed openly. This journal is published once a month by PT. Worldwide Research Publishing Insight : International Journal of Social Research provides a means for ongoing discussion of relevant issues that fall within the focus and scope of the journal that can be empirically examined. The journal publishes research articles covering all aspects of social sciences, ranging from Management, Economics, Culture, Comunication, Law, Geography, and Education that belong to the social context. Published articles are from critical and comprehensive research, studies or scientific studies on important and current issues or reviews of scientific books.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 73 Documents
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Affiliate Marketing Business as a Digital Entrepreneurship Model: An Analysis of Opportunities and Challenges in the Creative Economy Era 2025 Putri Pramesti, Ginna Novarianti Dwi
International Journal of Social Research Vol. 1 No. 1 (2023): Insight : International Journal of social research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v1i1.80

Abstract

The development of the creative economy in the digital era has opened up new opportunities for technology-based entrepreneurship models, one of which is affiliate marketing. This business model is increasingly popular because it offers flexibility, low capital requirements, and broad market access potential through e-commerce and social media platforms. However, despite its great potential, affiliate marketing practices also face a number of challenges, ranging from limited digital literacy, reliance on platform algorithms, to immature transparency and regulatory issues. Therefore, this research is important to comprehensively analyze the opportunities and challenges of affiliate marketing as a digital entrepreneurship model in supporting the growth of the creative economy in 2025. This study uses a qualitative approach with a descriptive method. Data were collected through in-depth interviews with affiliate marketers, participatory observations, and documentation studies from related literature sources. Data analysis was carried out using the Miles & Huberman interactive model which included data reduction, data presentation, and conclusion drawing through triangulation techniques. The results of the study show that the main opportunities of affiliate marketing include expanding market access, time flexibility, and contributing to financial inclusion, especially for students and MSMEs. However, the challenges found include low digital literacy, instability of platform algorithms, tight competition, and consumer trust issues. This study concludes that affiliate marketing can be a driving force for the creative economy if supported by strategies to strengthen digital literacy, adaptive regulations, collaboration with platforms, and halal product innovation. The implications of this research confirm the importance of multi-stakeholder synergy in building an inclusive and sustainable digital entrepreneurship ecosystem.
Risk Analysis in Human Resource Management: The Role of Ethics and Control Mechanisms in Organizational Performance Putri Pramesti, Ginna Novarianti Dwi
International Journal of Social Research Vol. 3 No. 6 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v3i6.92

Abstract

This research explores the role of ethics and control mechanisms in human resource management (HRM) and their impact on organizational performance. The problem studied is how organizations face challenges in managing HR risks related to low compliance with ethics and weaknesses of internal control mechanisms that can reduce organizational performance. This research aims to develop and test an integrated model that connects organizational ethics, control mechanisms, and human resource management (HRM) risk management to improve organizational performance. Using a mixed-methods approach, this study combined quantitative surveys and qualitative interviews with HR professionals in 10 organizations. The findings suggest that a strong organizational ethical culture has a positive effect on the effectiveness of internal control mechanisms, which in turn improves the risk management capabilities of human resource management (HRM). This ability directly contributes to the improvement of organizational performance. The study also identified that control mechanisms mediate the relationship between ethics and human resource management (HRM) risk management. The results show that integrating ethics into the human resource management (HRM) risk management framework is critical for organizational resilience and performance. This research contribution offers a comprehensive model for HR managers to integrate ethical practices and control systems, leading to better risk mitigation strategies and more optimal organizational outcomes. Implications for practice include strengthening ethical culture, improving control mechanisms, and implementing proactive human resource management (HRM) risk management strategies. The limitations of this study include the narrow scope of the organization, and further research can explore applications in a wider industry.  
Terminology, Policy Foundations, Purpose And Position Of Pai In The National Education System Darojat, Jajat; Nurhadi, Hafidin; Hakim, Arif Rohman
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.v4i2.93

Abstract

Human beings are pedagogical creatures who have the potential intellect, heart, and body to be educated and educated. It takes an understanding of education to be in accordance with the spirit of humanity and human needs. This article is a discussion of collaborative thinking from various points regarding the terminology, purpose and position of Islamic education. As an Islamic education figure, the author will present the views of Syed Muhammad Naquib Al Attas, Imam Al Ghazali, and other Islamic education experts. The research method in this article is qualitative with a library research approach. A study based on research on documents or texts derived from literature. From the results of the study, various Islamic educational technologies were found, namely Al Tarbiyah, al Tansyi'ah, al Ishlah, al Ta'dib or al Adab, al Tahzib, al Tazkiyyah, al Ta'lim, al Siyasah, al Nash wa al Irsyad, al Mau'idzah, and al Akhlak. This article outlines three terms of education in Islam, namely al Tarbiyah, Ta'lim and Ta'dib. Of the three terminologies, according to Naquib Al Attas, for education in Islam, it is more appropriate to use the term Ta'dib. This term is more humanistic and relevant to the subject of education, namely humans. Because basically education is for moral purposes. Even if it refers to the purpose for which man was created, which is to become a servant (abdullah) and a representative of God on earth (khalifatullah). Thus, according to Imam Al Ghazali, the purpose of education is divided into two, namely the special goal as the achievement of happiness in the hereafter (ukhrawi), and the general goal is the substance of human beings as noble beings on earth (worldly), therefore it must achieve benefits in human life in the world. The conclusion is that Islamic education is a means for students to form morals and piety in the context of happiness in this world and the hereafter. As part of National education, Islamic Religious Education is the most important part because of its role in filling the spiritual void of students, this is affirmed in Pancasila and the Indonesian State Law.
A Business Intelligence-Based Data Governance Model to Reduce the Risk of AI Implementation Failure in Organizations Fauziyyah, Ghina; Solikhah, Mar'atus
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 Solikhah, Mar'atus
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.
Generative AI Integration in the Startup Ecosystem: A Technopreneurship Strategy to Increase Global Competitiveness Fauziyyah, Ghina; Solikhah, Mar’atus
International Journal of Social Research Vol. 4 No. 1 (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.v4i1.96

Abstract

The rapid development of Generative Artificial Intelligence (Generative AI) technology has driven significant transformations in the global startup ecosystem. This technology enables the automation of creative processes, faster data analysis, and more efficient digital product development. In the context of technopreneurship, the integration of generative AI is a strategic factor that can increase startups' innovation capacity while strengthening global competitiveness. However, understanding how the integration of generative AI technology can be optimized in technopreneurship strategies to improve startup competitiveness still requires more in-depth empirical studies. This study aims to analyze the influence of generative AI integration in the startup ecosystem on technopreneurship strategies and its impact on increasing startups' global competitiveness. This study uses a quantitative approach with an explanatory research method. Data were collected through a survey of founders and managers of technology-based startups that utilize digital innovation in their business activities. The sampling technique used purposive sampling with a total of 150 startups as respondents. Data analysis was conducted using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method to test the relationship between the research variables. The results of the study indicate that the integration of generative AI has a positive and significant impact on technopreneurship strategies and startups' global competitiveness. Furthermore, technopreneurship strategies are proven to act as a mediating factor, strengthening the relationship between the use of generative AI technology and increased startup competitiveness in the global market. These findings suggest that the use of generative AI, supported by innovative technological entrepreneurship strategies, can be a source of competitive advantage for startups in facing the dynamics of the global digital economy.
Bio-Inspired Computing Based Multi Objective Optimization For Sustainable Manufacturing In The Industry 4.0 Era Fitriyanti, Elvira; Magfiroh, Diana
International Journal of Social Research Vol. 4 No. 1 (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.v4i1.97

Abstract

This study aims to evaluate the contribution of bio-inspired computing towards the sustainability of manufacturing systems in the context of Industry 4.0. Using quantitative and design approaches, data were collected from 100 professional respondents in the manufacturing sector through questionnaires and structured interviews. Statistical analysis was performed using Pearson correlation, linear regression, t-test, and ANOVA with the help of SPSS software. The results showed a very strong and significant relationship between the use of bio-inspired algorithms, such as Particle Swarm Optimization (PSO), with energy efficiency (r = 0.872), production level (r = 0.723), and environmental sustainability (r = 0.790). Linear regression showed that the use of the technology explained 76.1% of the variability in energy efficiency (R² = 0.761; p < 0.001). The ANOVA results also showed significant differences between groups of technology users in terms of efficiency achievements. These findings indicate that bio-inspired computing can be an important strategy in digital transformation and more sustainable decision-making. This study contributes to developing multi-objective optimization theory and provides practical implications for industrial management in implementing adaptive and environmentally friendly technologies.
Contested Landscapes: Land Grabbing, Customary Rights, and Environmental Degradation in Eastern Indonesia Syafi’i, Akhmad; Prahitaningtyas, Sherina; Saied, Muhammad
International Journal of Social Research Vol. 4 No. 1 (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.v4i1.98

Abstract

This study explores the contested dynamics of land grabbing, customary land rights, and environmental degradation in Eastern Indonesia, with a case study focused on Merauke Regency, Papua Province. Utilizing a qualitative political ecology approach, the research combines in-depth interviews, employee questionnaires, field observations, and document analysis to examine how corporate concessions intersect with indigenous territories. The findings reveal systemic exclusion of indigenous communities in land acquisition processes, characterized by weak consultation, disregard for customary tenure, and the erosion of traditional livelihoods. Although companies assert legal compliance, the affected communities report significant loss of access to sacred lands, environmental decline, and cultural displacement. Notably, 90% of plantation workers surveyed recognized the negative impact on indigenous livelihoods, while only 25% believed local communities were included in decision-making. These results highlight the political nature of environmental change and demonstrate how land commodification undermines ecological integrity and indigenous sovereignty. The study contributes to political ecology discourse by documenting spatial injustice and calling for policy reforms that recognize customary land rights and support inclusive development.
The Influence of Artificial Intelligence on Business Decision Efficiency in MSMEs in the Digital Economy Era Rahmayana, Vina; Fitriani, Renita; Rahmayana, Vani
International Journal of Social Research Vol. 3 No. 6 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v3i6.99

Abstract

The development of Artificial Intelligence (AI) technology in the digital economy era has changed the way business actors make business decisions. For Micro, Small, and Medium Enterprises (MSMEs), the use of AI has the potential to increase efficiency in the process of data analysis, strategic planning, and faster and more accurate decision-making. However, the level of use of AI in MSMEs is still diverse, so it is necessary to further study its influence on the efficiency of business decisions. This study aims to analyze the influence of the use of Artificial Intelligence on the efficiency of business decision-making in MSMEs in the digital economy era. This study uses a quantitative approach with a survey method of MSME actors who have utilized digital technology in their business activities. Data collection was carried out through a structured questionnaire that was distributed to respondents. The data obtained is then analyzed using statistical analysis techniques, such as regression analysis, to determine the relationship and influence between the use of Artificial Intelligence and the efficiency of business decisions. The results of the study show that the use of Artificial Intelligence has a positive and significant influence on the efficiency of business decision-making in MSMEs. The use of AI technology helps business actors in processing market information, predicting consumer trends, and improving the accuracy of business strategies. Thus, the implementation of AI can be one of the important factors in increasing the competitiveness and operational effectiveness of MSMEs in the digital economy era.
ESG Communication Analysis in Building Stakeholder Trust in Public Banking Companies in Indonesia Amid the Greenwashing Issue Falah, Zidnal
International Journal of Social Research Vol. 3 No. 6 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v3i6.100

Abstract

This study aims to analyze Environmental, Social, and Governance (ESG) communication in building stakeholder trust in public banking companies in Indonesia amid the increasing issue of greenwashing. The research uses a qualitative approach with a descriptive design of a case study. Data was collected through in-depth interviews with management, questionnaires to licensed employees, as well as observations of sustainability reports, annual reports, official company websites, press releases, and corporate social media. The results show that ESG communication has an important role in shaping stakeholder trust, especially when messages are conveyed in a transparent, consistent, accountable, and supported by tangible evidence of implementation. The interview's findings show that management views ESG communication as a strategic part of a company's reputation and legitimacy, but still faces challenges in maintaining a fit between sustainability narratives and business practices. The results of the questionnaire showed that transparency and accountability received high ratings, while the evidence aspect of the program was still relatively low. The results of the observation also confirm that the intensity of ESG communication has not always been followed by adequate depth of information. This study concludes that credible, data-driven, and integrated ESG communication is an important factor in strengthening stakeholder trust and minimizing the risk of perceived greenwashing in public banking companies in Indonesia.

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