Critical success factors for integrating artificial intelligence and robotics

Abstract

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.

A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy

“…For warranting the data quality and leveraging its value, data governance is a potential approach (Gregory 2011 ; Grover et al 2018 ; Mir et al 2020 ; Braganza et al 2017 ; Wiener et al 2020 ). Governance includes areas such as organizational strategy, data quality & security, innovation applications, ‘Data Science’ architecture, and lifecycle (Fakhri et al 2020 ).…”

Role of Risks in the Development of Responsible Artificial Intelligence in the Digital Healthcare Domain

“…Furthermore, Boddington (2017) explained varied approaches to dealing with ethical issues in AI that can encourage the development of ethics standards. In line with the above explanation about responsible AI, another study by Mir et al (2020) informed stakeholders about critical success factors in developing "intelligent autonomous systems" by putting artificial intelligence together with mechanized programs.…”

How Artificial Intelligence Drives Sustainable Frugal Innovation: A Multitheoretical Perspective

“…Regarding CSFs, there are few studies to be seen, so this review also includes the drivers of AI. Mir et al [68] discussed the CSFs of AI adaption through the application of intelligent autonomous systems. Total interpretative structure modeling has been used to analyze the considered CSFs, in which policies are identified as the major CSFs.…”

“…The remaining issues will be addressed later in this article. Some studies [4], [68] have already examined the CSFs with different concerns (managerial, operational, strategic, IT infrastructure, and organizational) for the implementation of (AI) projects. However, these studies are mainly limited to applications (e.g., healthcare) that are not suitable for newly introduced sustainable frugal innovation.…”