A Model to Evaluate the Acceptance and Usefulness of Enterprise Architecture for Digitalization of Cities

Abstract

Purpose Enterprise architecture (EA) is usually adopted as an approach for managing enterprise complexities and aligning business and information technology (IT) capabilities. Although IT practitioners and researchers agree about the potential applicability and benefits of EA in smart cities, little is known about the factors that influence the acceptance and usefulness of EA in smart cities. Thus, EA acceptance and usage remains a central concern of urban research and practice. Similarly, there are fewer studies that explored EA adoption from the context of enterprises that provide digital services in cities grounded on empirical evidence. Therefore, this study assesses the acceptance and usefulness of EA in smart cities context by developing an EA adoption model drawing on the DeLone and McLean Information System (IS) success model.

Design/methodology/approach Based on the identified factors survey questionnaire was designed and sent out to participants which includes IT professionals, senior managers and consultants from 18 organizations in Norway and Ireland involved in a smart city project (+CityxChange) (https://cityxchange.eu/). Statistical Package for Social Science (SPSS) and structural equation modelling using partial least square was applied for data analysis.

Findings The results suggest that service quality and system quality positively impact user satisfaction of EA and user's intention to use EA. More importantly, information quality does not influence user satisfaction of EA, and the user satisfaction of EA and user's intention to use EA significantly influences the net benefit of EA.

Originality/value This study provides a complete understanding for academicians and IT practitioners regarding the factors and impacts on EA acceptance and use in smart cities. Finally, this study discusses the implications of this research and provides recommendations for future research.