Purpose
This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. It suggests a prioritization hierarchy model for building sustainable ecosystem for developing IASs.
Design/methodology/approach
This paper is based on the existing literature and on the opinion of 15 experts. All the experts have minimum of eight years of experience in AI and related technologies. The CSF theory is used as a theoretical lens and total interpretative structure modelling (TISM) is used for the prioritization of CSFs.
Findings
Developing countries like India could leverage IASs and associated technologies for solving different societal problems. Policymakers need to develop basic policies regarding data collection, standardized hardware, skilled manpower, funding and start-up culture that can act as building blocks in undertaking sustainable ecosystem for developing IASs and implementing national AI strategy. Clear-cut regulations need to be in place for the proper functioning of the ecosystem. Any technology that can function properly in India has better chances of working at the global level considering the size of the population.
Research limitations/implications
This paper had all its experts from India only, and that makes the limitation of this paper, as there is a possibility that some of the factors identified may not hold same significance in other countries.
Practical implications
Stakeholders will understand the critical factors that are important in developing sustainable ecosystem for IASs and what should be the possible order of activities corresponding to each CSF.
Originality/value
The paper is the first of its kind that has used the CSF theory and TISM methodology for the identification and prioritization of CSFs in developing IASs. Further, eight significant factors, that is, emerging economy multinational enterprises (EMNEs), governance, utility, manpower, capital, software, data and hardware, have come up as the most important factors in integrating AI with robotics in India.
Governments worldwide invest heavily in digital initiatives to develop information societies with connected and actively engaged citizens, but problems like lacking sustained engagement and quality of participation still plague them. We undertook a systematised literature review on the Scopus and Web of Science (WoS) databases, covering dispersed literature surrounding Digital Citizen Empowerment (DCE) from the past two decades.Categorising the literature under four thematic categories or strategies of DCE: Digital Activism (DA), Multichannel Service Delivery (MCSD), Participatory Budgeting (PB), and Deliberative Governance (DG) critical comparative analysis is done. A conceptual model of DCE, covering how theories from different interdisciplinary areas of political, social, and information science influence the development of information societies and DCE is presented. Action points in our conceptual model are mapped to policy objectives targeting improved delivery of empowering policy goals by practitioners, and future research opportunities in the context of DCE are discussed.
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