9. Conclusion
This study has aimed to predict salient factors which influence the information system success through usage of IoT in SCI. While questing the factors, the help of Updated Information System Success Model (DeLone & McLean, 2003) has been taken with some congenial modifications along with the help of inputs from relevant literature review. The study reveals that Perceived Information Quality (PIQ) and Perceived System Quality (PSQ) affect the use of IoT by the Smart Citizens of proposed SCI. Hence, authorities of SCI should focus on the cultivation of better information quality and of better system quality to enhance information system success which would improve the intention of the users to use IoT in SCI to fetch desired success. It appears from the study that Perceived Net Benefit (PNB) derived from satisfaction of usage of IoT by the citizens of proposed SCI plays a crucial role to induce more users to use IoT in proposed SCI. By such induction of increased number of users to use IoT enabled services in SCI, it is evident that, in that case influx of data would be generated and then it would be possible by the government to take help of these big data analytics tools which would ultimately help government for accurate and reliable decision making. Such being the scenario, the concerned authorities of proposed SCI should brush-up information quality, system quality and service quality to ensure Information System Success. This will be achieved by the concerned authorities if they are properly trained well ahead. The potential users should be made aware regarding the advantages of using products associated with the use of IoT technology. They should be made aware that use of this technology would facilitate generate huge data. From this huge data, Government will be able to analyze those data with the help of AI and will be able to arrive at a flawless decision. This would bring benefits to the citizens of SCI eventually. Thus, generation of data using IoT enabled devices is important. And the factors affecting usage of such IoT technology by the citizens of SCI has been, as such, studied. All these would motivate the users to be involved in using IoT technology in SCI and it would help the citizens to be smarter. The regression analysis conducted in this study highlights that Perceived Service Quality (PSQ) has insignificant effect over the Perceived Users' Satisfaction (PUS) of using IoT technology.