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All Journal Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen Solusi: Jurnal Kajian Ekonomi dan Bisnis
Ika Fitriastuti, Lucia
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

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MOTIVASI BISNIS DAN STRATEGI ADAPTASI KOMUNITAS MADURA DALAM FENOMENA WARUNG KELONTONG DI DAERAH ISTIMEWA YOGYAKARTA Zuhri, Saifudin; Ika Fitriastuti, Lucia; Agustiningrum, Vetriana; Rosyidi, Syaiko; Ika Handayani, Christina Dini
Kajian Ekonomi dan Bisnis Vol. 20 No. 2 (2025)
Publisher : Sekolah Tinggi Ilmu Ekonomi SBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51277/keb.v20i2.291

Abstract

Tujuan penelitian ini untuk menganalisis motivasi bisnis orang asal Madura yang mendirikan usaha warung kelontong di Daerah Istimewa Yogyakarta. Selama ini khazanah kajian terhadap kewirausahaan orang Madura didominasi analisis yang mendeskripsikan perilaku bisnis melalui narasi etos kerja dan karakter budaya yang bersifat esensialistik. Dominasi pendekatan tersebut akan dikritisi dalam penelitian ini dengan menggunakan perspektif kewirausahaan etnis dan konsep ekonomi tertanam (embedded economy). Metode penelitian yang digunakan adalah kualitatif dengan pendekatan etnografi melalui observasi partisipatif dan wawancara mendalam. Penelitian ini menghasilkan temuan bahwa orang Madura dalam berbisnis tidak hanya dimotivasi oleh kebutuhan ekonomi, tetapi juga dipengaruhi oleh nilai-nilai dasar yang melekat dalam identitas, kultur, dan sistem sosialnya, seperti harga diri, tanggung jawab keluarga, pengalaman migrasi, serta jaringan sosial sesama perantau. Fenomena kehadiran usaha warung kelontong Madura di tengah determinasi waralaba modern maupun masyarakat lokal Yogyakarta bermakna sebagai strategi bisnis, kemampuan adaptasi ekonomi, namun juga sekaligus menjadi arena reproduksi identitas dan solidaritas sosial. Temuan penelitian ini memberi kontribusi pengkayaan khazanah kajian manajemen sumber daya manusia untuk konteks UMKM dengan memperkenalkan konsep embedded motivation sebagai pendekatan konseptual dalam memahami manajemen SDM yang bergerak dalam ranah kewirausahaan etnis.
THE ROLE OF ARTIFICIAL INTELLIGENCE IN SMES DECISION MAKING: A BIBLIOMETRIC ANALYSIS Ika Fitriastuti, Lucia
Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen Vol. 13 No. 1 (2026): Jurnal Riset Manajemen
Publisher : Program Magister Manajemen STIE Widya Wiwaha Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32477/k8m06w03

Abstract

In the current digital era, Artificial Intelligence (AI) plays a significant role in the business sector, particularly in management decision-making. This article presents an analysis of various studies related to the role of Artificial Intelligence in SMEs decision-making over the past 22 years. A total of 115 articles published from 2003 to 2024 were analyzed. The data analysis method used was bibliometric analysis. Data were imported from the Scopus database and used the Harzing's Publish or Perish application. Meanwhile, to obtain data visualization, this study used the VoS Viewer application. The items analyzed in this article relate to the concept of Artificial Intelligence applied by SMEs, existing topic trends, document types, journal names, document sources, publisher names, and the presentation of author collaborations. This study found that most articles related to the topic of the role of Artificial Intelligence in SMEs decision-making were published in journals and conference proceedings. The highest number of citations was in articles from 2014. The highest number of publications occurred in 2023. Network visualization results show that articles related to Artificial Intelligence are the primary term or topic frequently found in relation to the role of Artificial Intelligence in SMEs decision-making. Other related terms include small and medium enterprises, decision support systems, machine learning, SMEs, Industry 4.0, decision-making, and small and medium-sized enterprises. The implication for SMEs is to maximize the use of AI in their businesses to enable them to make informed business decisions, which in turn can improve their competitiveness and business development.
Co-Authors Agustiningrum, Vetriana Ika Handayani, Christina Dini Saifudin Zuhri Syaiko Rosyidi