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Given the current trade friction between the United States of America and the People’s Republic of China, the progress of the Sustainable Development Goals (SDG) may slow down in some areas in both countries, and there is a need for organizations to understand more of the factors that affect the adaptability of inter-organization information systems (AIOISs) in order to support the 17th Sustainable Development Goal. This research proposes a new model for the adaptability of IOISs based on organizational identity. The hypotheses for this research were deduced from the literature in order to identify and extract the factors for adaptability and partnership. Subsequently, a conceptual model has been developed and empirically tested using the data from 259 samples. The exploratory and confirmatory analysis showed that organizational learning mechanisms (OLM) and knowledge sharing (KS) have a significant positive effect on the identity of multi-organization alliances (IMOAs), and on the adaptability of IOISs, as well as indirectly affecting the adaptability of IOISs through the mediating role of the identity of the multi-organization alliance. In addition, organizational collaboration (OC), commitment, and trust have a significant positive effect on the identity of a multi-organization alliance, whereas there is no direct relationship between organizational collaboration, commitment, trust, and the adaptability of the IOIS. Lastly, the mediating roles of IMOA on AIOIS are supported.

Adaptability of Inter-Organizational Information Systems Based on Organizational Identity: Some Factors of Partnership for the Goals