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Enterprises supply chain management for development of business Syamsiah Badruddin; Anny Nurbasari; M. Ariza Eka Yusendra; Paisal Halim; Andri Winata; EF Sigit Rochadi; Stefanus Rumangkit; Hartono Hartono; Meiyanti Widyaningrum; Rhini Fatmasari; Baharuddin Baharuddin; Donna Sampaleng
International Journal of Supply Chain Management Vol 9, No 2 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (532.835 KB)

Abstract

Abstract-Institutional and social capital theories can help to understand how social enterprises can contribute and transform sustainable supply chains. This article introduces a framework that seeks to understand social enterprise and entrepreneurship capabilities in transforming institutions to strengthen supply chain sustainability and briefly gives some preliminary findings related to social capital and supply chains. Presently the social entrepreneurship has many areas to explore and having exceptionally golden opportunities to reform the business research. With this article an analytical model and business model is proposed for commercial entrepreneurship. It also works as a bridge between many communities and the industries. Here it is also presented a roadmap for the future scope of industrial development. In this study it is try to explain that how a social entrepreneurship can work by providing high end services and user demands and also refer to establish many new industries. The new findings and the upcoming possible demands of a user are focused by this article.
Kecerdasan Buatan dan Transformasi Digital Kewirausahaan: Pemetaan Sistematis melalui Pendekatan Bibliometrik Tren dan Penelitian Masa Depan Yan Aditiya Pratama; Stefanus Rumangkit
Jurnal Bisnis Darmajaya Vol. 11 No. 1 (2025): Jurnal Bisnis Darmajaya
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jurnalbisnis.v11i1.908

Abstract

The purpose of this study is to map current and future research on the topic of AI and entrepreneurship. The approach of this study is bibliometric, with secondary data as the data source. The processed articles are 34 articles with published articles in reputable national journals (SCOPUS), where the topics in the articles are business, management, and accounting. The results of the study show that there are nine clusters that are mapped in AI and entrepreneurship research, namely Cluster # 1 shows a focus on advanced technology and data analysis in business innovation, Cluster # 2 relates to industrial innovation and digital transformation in various sectors, Cluster # 3 covers efficiency and desire in multiple sectors through environmental technology and innovation, Cluster # 4 focuses on the development of business models and health technology, as well as innovation in patents and startups, Cluster # 5 focuses on entrepreneurial action and environmental economics, as well as sustainable development, Cluster # 6 relates to business development and entrepreneurial ecosystems through effective decision making, Cluster # 7 emphasizes entrepreneurship education and artificial intelligence-based technological innovation, Cluster # 8 focuses on digital entrepreneurship and digital transformation through a lean startup approach, and Cluster # 9 relates to entrepreneurial skills and risk management in a dynamic business environment.