TY  - JOUR
AB  - 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.
VL  - 22
IS  - 4
SN  - 2398-5038
DO  - 10.1108/DPRG-03-2020-0032
UR  - https://doi.org/10.1108/DPRG-03-2020-0032
AU  - Mir Umar Bashir
AU  - Sharma Swapnil
AU  - Kar Arpan Kumar
AU  - Gupta Manmohan Prasad
PY  - 2020
Y1  - 2020/01/01
TI  - Critical success factors for integrating artificial intelligence and robotics
T2  - Digital Policy, Regulation and Governance
PB  - Emerald Publishing Limited
SP  - 307
EP  - 331
Y2  - 2024/05/04
ER  -