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Managing sustainable practices has received increasing attention in the field of supply chain management to tackle environmental, financial and social issues in an integrated way. However, extant research still lacks a systemic framework explaining how sustainable practices can support individual companies to promote orchestration, collaboration, and coordination in the entire supply chain. This paper aims to provide a systemic framework including a taxonomy of sustainable development practices supporting individual firms in managing supply chain relationships. The proposed framework seeks to connect the supply chain practices and the technological systems that support them. Specifically, the findings highlight the relationship between technology capabilities and supply chain practices, focusing on the benefits their interaction brings to the complex dyadic relationships of supply networks.Finally, this study outlines promising future research directions for scholars and practitioners operating in the field of sustainable supply chain design and supply chain relationship management.

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In the last few years, the use of educational technology, particularly the concept of Learning Management System (LMS), has increased rapidly. With this fast development, the question arises as how to manage the LMS to obtain success and efficiency in online courses. One of the important factors that have received many citations in literature studies (and has a special position in information system research) is the user satisfaction. It is a crucial factor that can predict the success or failure of any LMS. In relation, this research examined the success factors that affect the user satisfaction and outcomes of LMS. This paper discusses the conceptual User Satisfaction Evaluation Model (USEM) employed to measures LMS success. In particular, it seeks to examine "the relationship between: Service quality, system quality, ease of use, perceived usefulness, information quality and students satisfaction, as well as to measure the outcomes of the LMS." Results from the data analysis indicate that all proposed factors have a positive effect on student satisfaction. The result also concludes that a higher rate of user satisfaction will lead to greater benefits for the students.