Design and behavior science in government-to-citizens cognitive-communication: a study towards an inclusive framework

Abstract

Purpose: The purpose of this paper is to describe the application of design and behavior science collectively in refining the government to citizens’ (G2C) cognitive-communication by using artificial intelligence (AI) artifacts. It investigates the citizens’ behavior intention to use AI cognitive-communication channels in e-government services. Design/methodology/approach: This study reveals the potential of unification in design and behavior science paradigms when integrated into AI artifacts in measuring the constructive outcome of proposed architecture that embraces the perceived risk and trust in citizens’ usage behavior intentions. To evaluate the practical relevance of design science paradigm, action research was incorporated by developing an app as an exemplified scenario. Findings: The weaknesses of traditional G2C channel communication obliterated by AI virtual agents. This study proposes a five-layer architecture model created with citizens-centered design highlighting the improved relevance for G2C cognitive-communication. The behavior model supports citizens’ usage behavior intentions through trust as a positive attribute and negative attribute as a perceived risk. Research limitations/implications: This study contributes to the knowledge of design science paradigm particularly to AI-based cognitive G2C communication. The architecture serves for deploying virtual agents to automate the public officials for decision-making processes. The authors have constructed a cognitive-communication model and have examined the relationships among the extents of cognitive-communication model. This channel has the potential to significantly transform G2C cognitive and intelligent communication. Practical implications: This cognitive-communication channel has the potential to significantly transform the communication between government and citizens. Such a model can be an interest of developers, researchers and government policymakers in a holistic approach drawn from theory and methods of both design and behavior science to create a successful communication scenario. Social implications: Advances in technology are not without social implications. The study results can dramatically improve the efficiencies of government workplaces and can augment the human working. It will help to reduce the government services discriminations among the citizens and contribute to society through social inclusion. Originality/value: This study addresses the duality in information system research by first defining the theoretical framework for G2C cognitive-communication architecture and then developing a research model drawn upon a citizens’ service usage behavioral theory. It will also contribute to providing important perceptions of AI practices in the public sector.