Entrepreneurship and Sustainability Issues is a peer-reviewed journal which publishes original research papers and case studies

Digital companies must improve their business models evolutionarily and innovatively. Therefore, IT investment, especially for revitalizing digital capabilities for operational changes, is important. Most companies are looking to source innovation from outside organizations. Partnership assessment is a crucial problem since it is not easy to integrate internal and external capabilities. The study aims to define business model innovation based on system dynamics with partnership scenarios. Open innovation is needed to evolve to meet market expansion. Partnership and IP strategies are discussed. System Dynamics modeling is utilized to map a system structure to capture its behavior and the relationships between elements, creating a simulation over time. The study develops a BMI to show how OI variables significantly contribute to the engine of growth for digital companies. The simulation reveals that OI has a significant effect on the company’s performance, indicated by significantly growing revenue after two years. At the early stage, patenting IP is not practical since the companies involved are unclear about the detailed IP. The IP success or the partner failure rate does not affect revenue significantly. After two years, companies sharing IP find the best way to benefit from it and lead to sustainable growth.

Currently, the adoption of electric vehicles (EV) draws much attention, as the environmental issue of reducing carbon emission is increasing worldwide. However, different countries face different challenges during this transition, particularly developing countries. This research aims to create a framework for the transition to EV in Indonesia through Agent-Based Modeling (ABM). The framework is used as the conceptual design for ABM to investigate the effect of agents’ decision-making processes at the microlevel into the number of adopted EV at the macrolevel. The cluster analysis is equipped to determine the agents’ characteristics based on the categories of the innovation adopters. There are 11 significant variables and four respondents’ clusters: innovators, early majority, late majority, and the uncategorized one. Moreover, Twitter data analytics are utilized to investigate the information engagement coefficient based on the agents’ location. The agents’ characteristics which emerged from this analysis framework will be used as the fundamental for investigating the effect of agents’ specific characteristics and their interaction through ABM for further research. It is expected that this framework will enable the discovery of which incentive scheme or critical technical features effectively increase the uptake of EV according to the agents’ specific characteristics.

Small enterprises are essential in supporting economic growth, particularly in emerging countries. Due to their constrained resources and capacities, many small businesses in developing nations encounter intricate obstacles when trying to enter the global market rapidly. The study is intended to develop a theoretical framework that can reveal the essential and integrated resources, and capabilities in the internationalization process. Instead of literature investigations, multiple case studies were adopted to explore the process of achieving the international success of Indonesia’s export-oriented small enterprises. In-depth interviews with twelve small enterprises across the culinary, fashion, and craft sectors were conducted to collect qualitative data. A content analysis followed the input–process–output–outcome structure as the basis for developing the robust framework. Based on the Resource-Based View (RBV), this study reveals the synergistic role of production, networks, marketing, learning, and legal capabilities in creating competitive advantages that support business continuity and sustainability. Research findings reveal that successful internationalization is not achieved by a single capability but through an integrated bundle of capabilities that can serve market needs. This study contributes to the literature by offering a comprehensive framework that maps the input–process–output–outcome structure of the internationalization process and offers practical insights for policymakers and practitioners aiming to enhance SME competitiveness. The results underscore the importance of capability development and government support in facilitating SME global expansion. Ultimately, this study provides a basis for further investigation into the dynamic capabilities that SMEs need to thrive in international markets.

Background: Innovation is a critical success factor of digital transformation (DX). Previous research has shown that open innovation (OI) can help companies accelerate DX and improve their business performance. Objective: This study develops a conceptual OI framework to support DX (OIDX) and provides an overview of the dimensions. OI in this study refers to Open Innovation 2.0. Methods: We review previous research on OI dimensions, identify the activities, and map them along with the challenges that lead to failure. With this, we develop a framework to meet the needs and solve problems of OI implementation. Results: The OIDX framework has a comprehensive dimensional scope consisting of three perspectives, eight dimensions, and 26 sub-dimensions. The perspectives are enablers, activities, and output, and the dimensions are OI governance, external environment, internal climate, digital technology, importing mechanisms, collaboration, protection mechanisms, and export mechanisms. Conclusion: This study highlights the importance of defining dimensions to establish General System Theory. The practical application of this framework is to build an OI ecosystem that can increase the internal and external values of an organisation. The OI framework provides OI success parameters and criteria for building the OI maturity framework in future research. Keywords: DX, Innovation, Open Innovation, Open Innovation Framework