Construction industry is considered as labour intensive, having shortage of skilled labour, unsafe with large number of industrial accidents. Construction industry requires high technology automation products (Robots) for improving productivity, safety, quality etc. Robots are developed by various countries in different areas like demolition, earthwork, bridge, tunnels, road work, underwater works, trenches and piping, maintenance etc. however they are still not used to their full potential by construction industry. Hence in this paper, the authors propose a "model for adoption" of robots in construction industry. This model considers how a construction firm will adopt full scale robots like manually controlled machine, tele-controlled machines, computer controlled machines and cognitive robots and assimilate them through various stages.
Robots are developed for various construction processes and used in countries such as the USA, Japan and China. However, their adoption in India is very limited due to weaknesses in the construction sector. The Indian construction industry is poised to grow at a faster rate due to planned investment. Robots will benefit construction industry by way of better productivity, quality, timely completion, etc. resulting in the growth of construction industry. This paper identifies the structure of influencers of adoption of robots in the Indian infrastructure construction sector using exploratory factor analsis. This structure was validated using confirmatory factor analysis. A total of 20 influencers are identified and grouped in eight factors. Based on these influencers, strategies are recommended to enhance adoption of robots in Indian infrastructure construction industry. Finally the authors identify the influencers that are common to India and other countries in Asia, America, Europe and Australia.
Robots are developed for various construction processes and used in countries such as the USA, Japan and China. However, their adoption in India is very limited due to weaknesses in the construction sector. The Indian construction industry is poised to grow at a faster rate due to planned investment. Robots will benefit construction industry by way of better productivity, quality, timely completion, etc. resulting in the growth of construction industry. This paper identifies the structure of influencers of adoption of robots in the Indian infrastructure construction sector using exploratory factor analsis. This structure was validated using confirmatory factor analysis. A total of 20 influencers are identified and grouped in eight factors. Based on these influencers, strategies are recommended to enhance adoption of robots in Indian infrastructure construction industry. Finally the authors identify the influencers that are common to India and other countries in Asia, America, Europe and Australia.
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