https://orcid.org/0000-0003-0077-1481
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Abstract
This research aims to (1) build and predict a sustainable business model to support micro-business in developing its potential in facing the challenges of the dual transition era (digitalization and sustainability); (2) explore opportunities and challenges for sustainable business models in the creative craft, fashion, food and beverage industry sectors. This research used a mixed methods approach on 381 micro and small businesses in Indonesia, utilizing an explanatory sequential design. The study revealed that aligning internal resources with responsive strategies can form sustainable resilience strategies (SRS) that are reflected in survival, continuity, reorientation, and synergy. These SRS strategies significantly impact micro-businesses in meeting the challenges of adopting digital technology in their business operations. Moreover, to meet the challenges of a sustainable business model, micro-businesses must have a high orientation to achieving sustainable development goals first, then SRS can mediate them so that sustainable business practices are realized, which have a lasting impact on sustainable business performance. Overall, This study recommends that micro-businesses adopt a sustainable resilience strategy and campaign the SDG agenda through digital technology adoption. This research provides practical insights for micro-businesses in exploring sustainable business opportunities and challenges. It also benefits stakeholders such as industry, universities, science and technology parks as an integrated innovation platform, and the government in shaping policies and regulations related to digitalization and sustainability. Resilience has been previously studied as an input, process, or outcome. This study has discovered resilience as a sustainable strategy for micro-businesses, which is the novelty of this study.
Reviewing Editor:
SUBJECTS:
Authors Contribution
Eriana Astuty: Conception and design the work, analysis and interpretation, final approval of the version to be published, and was responsible for all aspects of the work. Ivan Diryana Sudirman: Data collection, compiling the work, reviewing it critically, and final approval of the version to be published. Rudy Aryanto: Data collection and review of important intellectual content.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Data availability statement
N/A. The interested readers can contact the first author’s email directly for data availability.
Additional information
Funding
Notes on contributors
Eriana Astuty
Eriana Astuty assistant professor in the Creativepreneurship Department and received a doctorate from the Indonesian University of Education. She is particularly interested in operational management, sustainability, and entrepreneurship. She has carried out research and publications independently, funded by institutions, and funded by the Ministry of Education, Culture, Research and Technology.
Ivan Diryana Sudirman
Ivan Diryana Sudirman is passionate about marketing management, management information systems, and technology management. He has earned a doctoral degree in Business Management from Padjadjaran University. His primary area of interest is artificial intelligence, particularly in predictive modeling through machine learning.
Rudy Aryanto
Rudy Aryanto received a Doctor of Research in Management from Binus University. He is an assistant professor at Creativepreneurship Department at Binus Business School. His research interests include marketing management, customer behavior, and competitive advantage. He is a national journal reviewer and is actively involved in many Indonesian lecturer associations.