cover
Contact Name
Tomi Agus Triono
Contact Email
tomiagustriono@unisayogya.ac.id
Phone
+6282326761718
Journal Mail Official
jurnal.imbas@unisayogya.ac.id
Editorial Address
Kampus Terpadu: Jalan Siliwangi (Ring Road Barat) No. 63, Nogotirto, Gamping, Sleman, Yogyakarta 55292, Indonesia
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
Journal of Innovation, Business Management and Entrepreneurship
ISSN : -     EISSN : 31239080     DOI : 10.31101
Core Subject : Economy,
Journal of Innovation, Business Management and Entrepreneurship (IMBAS) is an English-language peer-reviewed Open Access scientific journal established in 2025 with twice yearly publication in May and November by the Management Development Center of Aisyiyah University Yogyakarta in collaboration with the Association of Management Departments of Muhammadiyah Universities (APSMA PTM). Focusing on all aspects of Innovation, Business Management & Entrepreneurship, IMBAS publishes original research articles, reviews, and case studies that provide outputs with sufficient novelty. IMBAS strongly encourages the submission of articles that can contribute better and real understanding to solve business management & entrepreneurship challenges. The journal is committed to following the Committee on Ethics in Publishing (COPE) and adhering to the highest ethical standards under ethics law. All submitted manuscripts are checked for similarity through trustworthy software to ensure authenticity, and then rigorously peer reviewed by reviewers.
Articles 12 Documents
Analysis of Development Strategy Based on Dynamic Capabilities in UMKM Kulea Coffee in Bandar Lampung Nadia Garlyna; Alfira Putri; Amanda Sharfina; Kaila Febiola; Sintia Nurul
Journal of Innovation, Business Management and Entrepreneurship Vol. 1 No. 2 (2025): Innovation
Publisher : Journal of Innovation, Business Management and Entrepreneurship

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31101/imbas.v1i2.4608

Abstract

This study analyzes the development strategy of UMKM Kulea Coffee in Bandar Lampung based on the perspective of dynamic capabilities. UMKM operate in a highly dynamic business environment characterized by changing consumer preferences, fluctuating demand, and increasing competition, which requires adaptive and flexible strategies. The objective of this research is to examine how UMKM Kulea Coffee applies dynamic capabilities in developing its business strategy. This study uses a qualitative descriptive approach with a case study method. Data were collected through semi-structured interviews with the business owner and internal parties, supported by observation and documentation. The analysis is based on three dimensions of dynamic capabilities, namely sensing, seizing, and reconfiguring. The results show that Kulea Coffee demonstrates sensing capability through its ability to identify changes in consumer preferences and seasonal demand fluctuations. Seizing capability is reflected in strategic decisions such as fulfilling custom requests, implementing a booking system, and adjusting menu variations during certain periods. Meanwhile, reconfiguring capability is seen in internal adjustments, particularly in improving service quality and work processes to enhance customer satisfaction. Overall, the findings indicate that the application of dynamic capabilities enables UMKM Kulea Coffee to adapt to environmental changes and supports business sustainability and competitiveness in the local market.
Strengthening Ethical Artificial Intelligence Based on Behavioral Economics through the Principles of Trust, 'Adl, and Ihsan in Decision Making: A Literature Review Medi Prasetyo; Musoli Musoli; Tomi Agus Triono
Journal of Innovation, Business Management and Entrepreneurship Vol. 1 No. 2 (2025): Innovation
Publisher : Journal of Innovation, Business Management and Entrepreneurship

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31101/imbas.v1i2.4642

Abstract

This research aims to strengthen the framework of Ethical Artificial Intelligence based on behavioral economics through the integration of the principles of Amanah, 'Adl, and Ihsan in decision-making. The research background is grounded in the increasing use of artificial intelligence in decision-making, which is vulnerable to cognitive bias, while the existing literature remains dominated by technical and procedural approaches to addressing ethical issues. The research employed a conceptual literature review of 17 journal articles on behavioral economics, artificial intelligence, cognitive bias, nudging, and moral decision-making. Analysis is conducted through data extraction, thematic coding, and conceptual synthesis to map the state of the art in research, identify normative gaps, and develop an alternative, value-based framework. The results show that the integration of behavioral economics and artificial intelligence has evolved to explain and manage cognitive biases, but has not yet been systematically integrated into a substantive normative value framework. Ethics in AI systems is still understood procedurally and is not yet oriented toward substantive justice, trust, and social usefulness. This study concludes that the principles of Amanah, 'Adl, and Ihsan can be positioned as alternative conceptual frameworks to strengthen ethical artificial intelligence approaches that are more just, responsible, and socially beneficial.

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