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This study aims to analyze institutional divergence of Beckert (2010) by measuring the reframing of three constitutive principles of Digital Weberian Bureaucracy (DWB). In contrast to the studies by Gaus et al. (2017), Sofyani et al. (2018), Muellerleile and Robertson (2018), Turner et al. (2019), and Meilani and Hardjosoekarto (2020), this study explores normative and mimetic mechanisms resulting in the mixed pattern of public administration (Traditional Public Administration (TPA), New Public Management (NPM), and Post NPM), focusing on the transformation of Digital Era Governance (DEG). Employing Soft Systems Methodology (SSM) by Reynolds and Holwell (2010), combined with Text Network Analysis (TNA) by Segev (2020) and Social Network Analysis (SNA) by Borgatti et al. (2014), this study shows the micro dynamics of relationships between actors, the meso dynamics of organizations, and the absence of regulations at the macro level, all of which lead to institutional divergence in the form of fully hybrid governance (as proposed by De Waele et al. (2015)) that is also caused by normative and mimetic mechanisms. Complementing the study of DWB, this study suggests that computer literacy and programming languages are essential to be improved by future bureaucrats as social actors to achieve the success of digital transformation.

Institutional Divergence of Digital Item Bank Management in Bureaucratic Hybridization: An Application of SSM Based Multi-Method