As social problems become more extensive and diverse, one of the most critical capabilities of social entrepreneurs is connecting and aligning various stakeholders. Social entrepreneurs can solve problems better through collaboration with stakeholders, and this leads to sustainable innovation of society. Accordingly, social entrepreneurship education (SEE) programs should be designed and operated to cultivate social entrepreneurs’ abilities to enhance connectivity with all relevant entities of the social enterprise ecosystem. Consequently, SEE can form ever-growing communities of social entrepreneurs while functioning as innovation hubs for entrepreneurial ecosystems (EEs) evolving on their own. To this end, this study proposes a design and assessment framework for SEE. The framework emphasizes strengthening internal connectivity among SEE program members and external connectivity with outside entities, including universities, firms, government agencies, civil societies, and natural environments. This framework clarifies how and to whom social entrepreneurs should connect throughout the SEE process. This paper analyzes the case of an MBA degree SEE program in Korea using this framework and identifies directions for further improvement of SEE, contributing to the social entrepreneurship and entrepreneurship education literatures by integrating SEE’s key features with social theories of learning and the quintuple helix model for sustainable innovation ecosystems. Practically, our findings provide a useful benchmark to find isolated internal and external entities that need more active interactions to achieve SEE’s purposes.

Green supply chain management (GSCM) enhances a firm’s competitiveness for sustainable growth. GSCM is especially important in the construction industry, a project-based business that often results in heavy environmental pollution. For the successful implementation of GSCM in the construction industry to occur, contractors should make the best use of suppliers’ environmental capabilities based on shared understanding of the capabilities. This paper examines the shared understanding of suppliers’ environmental management capabilities between the contractor and suppliers by assessing the consistency between the contractor’s and suppliers’ evaluations of the capabilities. This explorative case study investigates a supply chain comprised of a major construction firm and 106 suppliers in Korea. The results of the case analysis show that the suppliers’ self-evaluation scores of environmental capability are higher than the contractor’s evaluation scores. Furthermore, from both evaluators, suppliers received the lowest scores in the evaluation item rating the relationship with second-tier suppliers and the highest in the evaluation item rating the relationship with the contractor. The consistency between the suppliers’ and contractor’s evaluation is related to several characteristics of suppliers, such as industry type, firm size and partnership duration with the contractor. This study contributes to the literature of GSCM and strategic alignment amongst supply chain partners for the construction industry.

The Internet of Things (IoT) is a representative technological innovation for future computing and communications. IoT technologies such as Radio Frequency Identification (RFID) and sensors have garnered huge attention in both academia and industry. However, the expected rapid adoption and diffusion of IoT technologies have not yet taken place and there is still a lack of understanding about IoT and how industries can apply IoT properly. To understand IoT utilization, predict the diffusion trends of IoT, and provide reliable guidelines for potential IoT adopters, this study investigated the value configuration of IoT technologies, focusing on the utilization of specific technology attributes of IoT in particular business contexts. Based on 762 IoT business cases (2008–2012), this study explored the technology attributes and business contexts of IoT usage and identified five representative value configuration models of IoT through cluster analysis: ID-based service model, Multiple operation management model, Service-combined inventory management model, Intelligent inventory transport model, and Sensor-based multiple service model. In addition, propositions for IoT utilization in each industry were provided according to the five value configuration models. The research results provide a holistic view for understanding IoT utilization in various business areas and the value configuration framework approach provides a more elaborate frame to understand diffusion trends of new technology.