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Artificial Intelligence (AI) for Sustainable Development in MSMEs: A Literature Review Usman, Maulana; Harto, Puji
Research Horizon Vol. 4 No. 6 (2024): Research Horizon - December 2024 (Thematic Issue)
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.4.6.2024.399

Abstract

Information and Communication Technology clearly showcases its advantages in this era of greater digitalization. With the enhanced technology, the application of Artificial Intelligence is anticipated in several areas, particularly within the business sector. Many sectors are affected by the digital trend, including the business among micro, small, and medium enterprises (MSMEs). The present research utilized a literature review approach to seek clarifications of the scope of AI in improving the productivity of MSMEs through operational efficiencies, innovations of products and services, and better decision making based on data analytics. This research adopts a literature review the research collects and reviews information from 34 pertinent journals published from 2019 to 2024. Data indicates that AI has the capacity to enhance productivity and resource usage however there are still daunting challenges such as costs of implementation and inadequacy of the technical infrastructure. Such conclusions are located within the issue of MSME sustainability, and using thematic analysis the article discusses the pros and cons of implementing AI. Sustaining operational sustainability through AI adoption is possible by enhancing supply chain efficacy and minimizing adverse environmental effects although policy and infrastructure enhancement can help achieve more. The implications of the research conducted urge indeed for longitudinal studies related to the long-term effects of AI on MSMEs as well as specific branches. Hence, this article presents a theoretical rationale for approaches that will focus on AIs in the context of sustainable development.
The Strategic Role of Artificial Intelligence in Integrating Customer Relationship Management and Retail Operations Usman, Maulana; Putra, Kukuh Ramadhan Sukma; Yuniawan, Ahyar; Djastuti, Indi
Economic and Business Horizon Vol. 4 No. 2 (2025): May
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Artificial Intelligence has become a key driver in the transformation of the retail industry, particularly in customer relationship management, records management, and warehouse automation. This research aims to examine the strategic role of Artificial Intelligence in integrating these thre aspects to improve operational efficiency and business competitiveness. Using the literature study method, this article analyzes nine scholarly articles that discuss Artificial Intelligence implementation in related sectors. The results show that Artificial Intelligence significantly contributes to the personalization of customer service, automated data management, and optimization of logistics processes. However, Artificial Intelligence implementation also faces challenges, including large investment requirements, complex system integration, and organizational resistance to change. This study concludes that an integrated and strategically designed Artificial Intelligence implementation can provide retail companies with a sustainable competitive advantage in the digital era. The study also recommends the need for a more adaptive approach and investment in internal capacity building to maximize the benefits of Artificial Intelligence in the retail industry.