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Mapping the Role of Corporate Entrepreneurship in Realizing Sustainable Business Based on SDGs Judijanto, Loso; Nampira, Ardi Azhar; Lubis, Diana Suksesiwaty; Devi, Syahrani
West Science Journal Economic and Entrepreneurship Vol. 3 No. 02 (2025): West Science Economic and Entrepreneurship
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsjee.v3i02.1905

This study explores the role of corporate entrepreneurship in fostering sustainable business practices aligned with the Sustainable Development Goals (SDGs) through a qualitative analysis of five informants. Findings highlight that corporate entrepreneurship drives innovation, identifies sustainability opportunities, and supports risk-taking for long-term gains. However, challenges such as balancing profitability with sustainability, stakeholder misalignment, and resource constraints persist. The study emphasizes strategic approaches, including integrating sustainability into organizational visions, fostering cross-departmental collaboration, and engaging stakeholders to overcome these challenges. The findings contribute to the understanding of corporate entrepreneurship as a lever for achieving SDGs and provide actionable insights for practitioners and policymakers.

Exploring the Determinants of Socio-Environmental Sustainability in New Business Initiation Harsono, Iwan; Nampira, Ardi Azhar; Auliani, Restu; Manik, Erba Kalo
West Science Journal Economic and Entrepreneurship Vol. 3 No. 02 (2025): West Science Economic and Entrepreneurship
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsjee.v3i02.1906

This study explores the determinants of social and environmental sustainability in new business initiation in Indonesia using qualitative analysis based on insights from five informants, including entrepreneurs, policymakers, and environmental experts. Four key dimensions—stakeholder engagement, regulatory frameworks, cultural values, and resource availability—emerged as critical to sustainability practices. Findings highlight that effective stakeholder engagement fosters trust and accountability, cultural values such as gotong royong align with sustainability principles, and regulatory frameworks offer guidance but face enforcement challenges. Limited access to financial and technological resources remains a significant barrier. The interplay of these determinants underscores the need for integrated strategies to promote sustainability in Indonesian start-ups. The study contributes to understanding how local context shapes sustainable entrepreneurship and offers actionable insights for policymakers and entrepreneurs.

Bibliometric Analysis of Artificial Intelligence Development in Customer Service Automation Judijanto, Loso; Vandika, Arnes Yuli; Nampira, Ardi Azhar
West Science Interdisciplinary Studies Vol. 3 No. 04 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i04.1861

This study presents a comprehensive bibliometric analysis of scholarly literature on the development of artificial intelligence (AI) in customer service automation, based on data extracted from the Scopus database between 2000 and 2024. Using VOSviewer, the analysis maps the intellectual structure, thematic evolution, and collaborative networks within this rapidly growing research field. Findings reveal that core research themes revolve around customer satisfaction, chatbots, natural language processing, and machine learning—highlighting the shift from back-end AI infrastructure toward user-facing, interactive applications. The overlay visualization indicates a temporal progression, with earlier studies focusing on big data and cloud computing, while more recent works emphasize conversational AI and customer experience. Co-authorship and country collaboration networks show two dominant scholarly communities—one centered in East Asia with a technical focus, and another in Western countries emphasizing service quality and marketing perspectives. Despite the field's growth, gaps remain in cross-regional collaboration, ethical design, and theoretical integration. This study offers valuable insights for researchers, practitioners, and policymakers aiming to advance AI-driven customer service strategies that are both innovative and ethically sound.

Impact Analysis of Millennial Financial Literacy and Digital Ecosystem Collaboration on Operational Efficiency and Financial Performance of Start-ups in Jakarta Nampira, Ardi Azhar; Apriyanto, Apriyanto; Arisondha, Edy
West Science Interdisciplinary Studies Vol. 3 No. 05 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i05.1903

This study investigates the impact of Millennial Financial Literacy and Digital Ecosystem Collaboration on Operational Efficiency and Financial Performance in Jakarta-based startups. Using quantitative analysis with 180 samples and Structural Equation Modeling - Partial Least Squares (SEM-PLS), the research identifies significant positive relationships among the variables. Millennial Financial Literacy enhances decision-making and resource allocation, driving operational efficiency and financial performance. Digital Ecosystem Collaboration is shown to have the strongest effect on operational efficiency and financial performance, emphasizing its role in fostering innovation and efficiency. The findings highlight operational efficiency as a critical mediator, bridging financial literacy, collaboration, and financial outcomes. Practical implications include fostering financial education and leveraging ecosystem partnerships for startups to achieve holistic growth. These results contribute to the literature on digital entrepreneurship and provide actionable insights for startup managers.

The Effect of Digital Twin and Edge AI on Industrial Machine Maintenance Optimization in Karawang Saleh, Mohamad Zein; Nampira, Ardi Azhar; Iskandar, Yusuf
West Science Interdisciplinary Studies Vol. 3 No. 06 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i06.1988

This study investigates the impact of Digital Twin and Edge AI technologies on optimizing industrial machine maintenance in Karawang, Indonesia. Using a quantitative research approach, data were collected from 80 respondents via a Likert-scale questionnaire and analyzed using SPSS version 25. The findings reveal significant positive relationships between both technologies and maintenance optimization. Digital Twin technology enhances predictive maintenance by enabling real-time simulations, while Edge AI improves decision-making through decentralized data processing. Together, they explain 58% of the variance in maintenance optimization. These results emphasize the synergistic effects of these technologies in reducing downtime, improving operational efficiency, and achieving cost savings. This research contributes to the understanding of advanced technological adoption in industrial maintenance and provides practical implications for enhancing productivity in industrial settings.

Bibliometric Review on Infrastructure Monitoring with IoT Judijanto, Loso; Justam, Justam; Nampira, Ardi Azhar
West Science Interdisciplinary Studies Vol. 3 No. 06 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i06.2013

The integration of the Internet of Things (IoT) into infrastructure monitoring has transformed how built environments are observed, maintained, and managed. This study conducts a comprehensive bibliometric review to map the research landscape, thematic trends, and collaboration patterns in the domain of IoT-based infrastructure monitoring. Using data retrieved from the Scopus database (2010–2024) and analyzed through VOSviewer, the study identifies key research clusters, influential authors, prolific countries, and the evolution of core topics over time. Results show that the research focus has shifted from basic sensor deployment and data acquisition to advanced topics such as machine learning, edge computing, data privacy, and cybersecurity. India, China, and the United States emerge as leading contributors, with dense global collaboration networks. The study highlights both the maturity of core research areas and the emergence of new directions such as blockchain integration and privacy-preserving infrastructure systems. These findings provide valuable insights for academics, policymakers, and practitioners aiming to enhance infrastructure resilience and efficiency through IoT technologies.

A Bibliometric Review of Renewable Energy Financing and Sustainable Development Judijanto, Loso; Nampira, Ardi Azhar; Auliani, Restu; Sinaga, Jernita
West Science Social and Humanities Studies Vol. 3 No. 04 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i04.1854

This study presents a comprehensive bibliometric review of the scholarly literature on renewable energy financing and its link to sustainable development. Utilizing data from the Scopus database and analyzed through VOSviewer, the study maps thematic clusters, keyword co-occurrences, author collaborations, and country-level partnerships from 2000 to 2024. The findings reveal that "sustainable development" serves as the conceptual core of this research domain, closely associated with terms such as "green finance," "energy efficiency," and "climate change." Recent trends indicate a growing scholarly focus on financial instruments like green bonds and the broader policy landscape of energy transition. Co-authorship and country collaboration networks demonstrate strong regional concentrations, with China, the United States, and India emerging as key contributors. While the literature is rich in financial and technological insights, gaps remain in addressing social equity, regional financing models, and the integration of digital finance. This study contributes to the literature by offering a systematic overview of research developments, identifying influential contributors, and suggesting future directions for interdisciplinary inquiry into sustainable energy finance.

AI In Diplomacy: An Analysis Of The Role Of Artificial Intelligence In Multilateral Negotiations Judijanto, Loso; Samaduri, Lutpi; Nampira, Ardi Azhar
Synergisia Vol. 2 No. 1 (2025): Synergisia - MAY
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/hkc0nc06

This research analyzes the role of artificial intelligence (AI) in multilateral diplomacy, with a focus on improving the efficiency and effectiveness of international negotiations. Applying a qualitative approach through literature research methods, this analysis collects and synthesizes relevant literature, including books, scientific journals, and policy reports that discuss the interaction between AI and diplomacy. AI has the potential to improve real-time data analysis, sentiment tracking, as well as predict the outcome of diplomatic scenarios, enabling diplomats to be more responsive to complex global challenges. However, the use of AI is also faced with ethical and security challenges, such as algorithmic bias, transparency issues, and the potential for a reduction in the role of humans in diplomatic decision-making. Therefore, it is important to develop a regulatory framework that ensures fair and transparent use of AI in the context of diplomacy. The study provides recommendations to stakeholders on the importance of human oversight and strong governance to optimize the benefits of AI in multilateral diplomacy, while also considering its ethical implications

Bibliometric Analysis of Artificial Intelligence Development in Customer Service Automation Judijanto, Loso; Vandika, Arnes Yuli; Nampira, Ardi Azhar
West Science Interdisciplinary Studies Vol. 3 No. 04 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i04.1861

This study presents a comprehensive bibliometric analysis of scholarly literature on the development of artificial intelligence (AI) in customer service automation, based on data extracted from the Scopus database between 2000 and 2024. Using VOSviewer, the analysis maps the intellectual structure, thematic evolution, and collaborative networks within this rapidly growing research field. Findings reveal that core research themes revolve around customer satisfaction, chatbots, natural language processing, and machine learning—highlighting the shift from back-end AI infrastructure toward user-facing, interactive applications. The overlay visualization indicates a temporal progression, with earlier studies focusing on big data and cloud computing, while more recent works emphasize conversational AI and customer experience. Co-authorship and country collaboration networks show two dominant scholarly communities—one centered in East Asia with a technical focus, and another in Western countries emphasizing service quality and marketing perspectives. Despite the field's growth, gaps remain in cross-regional collaboration, ethical design, and theoretical integration. This study offers valuable insights for researchers, practitioners, and policymakers aiming to advance AI-driven customer service strategies that are both innovative and ethically sound.

Impact Analysis of Millennial Financial Literacy and Digital Ecosystem Collaboration on Operational Efficiency and Financial Performance of Start-ups in Jakarta Nampira, Ardi Azhar; Apriyanto, Apriyanto; Arisondha, Edy
West Science Interdisciplinary Studies Vol. 3 No. 05 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i05.1903

This study investigates the impact of Millennial Financial Literacy and Digital Ecosystem Collaboration on Operational Efficiency and Financial Performance in Jakarta-based startups. Using quantitative analysis with 180 samples and Structural Equation Modeling - Partial Least Squares (SEM-PLS), the research identifies significant positive relationships among the variables. Millennial Financial Literacy enhances decision-making and resource allocation, driving operational efficiency and financial performance. Digital Ecosystem Collaboration is shown to have the strongest effect on operational efficiency and financial performance, emphasizing its role in fostering innovation and efficiency. The findings highlight operational efficiency as a critical mediator, bridging financial literacy, collaboration, and financial outcomes. Practical implications include fostering financial education and leveraging ecosystem partnerships for startups to achieve holistic growth. These results contribute to the literature on digital entrepreneurship and provide actionable insights for startup managers.

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