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The urbanization trend and the prevailing energy crisis in India, makes it important to study the potential of IoT technology in the Indian buildings market. This research work proposes a systems dynamics model of IoT based climate control systems diffusion in Intelligent Buildings. The modeling process leverages the generic Bass model of technology diffusion and augments it with causal loops based on the enablers and barriers to IoT diffusion in buildings identified through literature review. The model encompasses the technological, social, financial, business, regulatory and environmental aspects of the system, and uses stock-flow concepts to represent their dynamic interplay. The model will be useful to value chain players in the construction sector by providing them support for strategic decision-making concerning market entry and new product development. It will also help policy makers to assess industry readiness to tackle the prevailing energy crisis and devise strategies to mitigate it.

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Occupant behavior influences energy savings in intelligent buildings over and above the advanced technologies deployed. IoT based interconnected sensors, along with personal devices such as mobile phones, wearables and virtual assistants, can assist building management systems with occupant behavior information paving the way for personalized comfort coupled with energy savings. This work investigates the occupant adoption of such an IoT climate control service in the context of Indian office spaces by examining four theories viz., TRA, TPB, TAM and VAM. The results indicate that TAM and VAM have higher explanatory power among the models considered. Further, TAM's constructs 1. perceived benefits, viz., improvement in comfort, productivity and wellbeing, and 2. Perceived ease of use, viz., access convenience to climate control in offices are identified as the most significant causal constructs. The results can pave way for IoT players to formulate business and technology strategies for product management and targeting specific customer segments.

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