Predicting Smart Regency Readiness on Sub-Urban Area in Indonesia: A perspective of Technology Readiness Index 2.0

Many e-Government studies have devised different ways to measure how ready a smart city is to use ICT. But many research notes show that the conceptual readiness framework is hard for e-Government researchers to understand. These challenges have included a lack of a scientifically valid model framework and readiness models for village and sub-urban areas, which have been common in numerous developing countries like Indonesia. This study aims to use a readiness model from Parasuraman's (2015) Technology Readiness Index 2.0 (TRI 2.0) framework to determine how ready Sub Urban areas in Indonesia are. By looking at how the mobile-based Smart Regency services were used, the TRI 2.0 framework was changed so that it could be used to measure sub-urban areas in Sumenep and Pamekasan Regencies, Madura Island Districts. A random, stratified, and purposeful sampling method was used to get information from 148 service users and smart city stakeholders. Analysis of data using SmartPLS 3.2 software and structural equation modeling indicated that the four TRI 2.0 model aspects, namely Innovativeness (5,669), Optimism (3,813), Discomfort (7,033), and Insecurity(7,096), all of these have significant effects on Smart Regency Readiness. This research provides a scientific contribution by adapting the TRI 2.0 model in Sub Urban in Indonesia, which is still rarely studied. This research makes a practical contribution by recommending that smart regency stakeholders pay close attention to important factors that affect how ready smart regency development is in underdeveloped countries, especially Indonesia.