Digital Transformation as an Enabler of Organizational Green Learning Orientation and Ambidextrous Green Innovation: Organizational Information Processing Perspectives
摘要
The challenges of climate change and environmental degradation have driven countries and enterprises to pursue green innovation (GI) and sustainable transformation. While prior research has focused on internal and external corporate governance, this study introduces a new model based on the organizational information processing view to examine how digital transformation (DT) and organizational green learning orientation (OGLO) influence exploratory and exploitative GI. Data from 310 valid responses in Taiwan’s manufacturing industry—including sectors such as electronics, machinery, chemicals, and food production—were analyzed using Structural Equation Modeling (SEM) in SPSS v26, with mediation effects tested through SPSS PROCESS. The analysis confirmed all hypothesized direct effects. Furthermore, the study revealed how OGLO mediates the impact of DT on both exploratory and exploitative GI in Taiwanese manufacturing firms. This research contributes to both academic and practical domains by linking organizational information processing theory (OIPT) with an information-processing perspective on organizational learning, thereby developing a DT-OGLO framework to support ambidextrous GI.