Ambidextrous Technology-Induced Transformations for Supply Chain Resilience

This dataset supports the structural equation modeling (SEM) analysis of the impact of emerging IT integration on supply chain resilience. The data were collected using a snowball sampling method, initially distributed to EMBA students at Northwestern Polytechnical University and Xidian University, who were encouraged to share the survey link within their professional networks. At the beginning of the survey, participants were required to indicate the extent to which their organizations had adopted emerging IT, with those from organizations that had not adopted any emerging IT instructed to exit the survey. Data collection spanned seven months, and the questionnaire consisted of two sections: the first gathered descriptive information about respondents, while the second addressed variables such as emerging IT integration, IT-enabled organizational transformation, digital transformation, and supply chain resilience. Responses were captured using a 7-point Likert scale, where 1 represented "strongly disagree" (completely inconsistent with the organization's current state), 4 denoted "neutral," and 7 indicated "strongly agree" (completely consistent with the organization's current state). A total of 268 responses were collected, and after rigorous data cleaning to remove samples with excessive missing values and evident outliers, 232 valid responses were retained for analysis. This dataset provides a robust empirical foundation for investigating the impact of emerging IT integration on supply chain resilience, facilitating accurate estimation of inter-variable relationships through structural equation modeling and uncovering potential causal mechanisms.