The smart city mission was launched in the year 2015 with the objective to retrofit the existing cities by improving the core infrastructure. It is expected that this mission drives economic growth and enhances the quality of life. Being a new initiative with no standard definition of a smart city, it is challenging to plan developmental activities. In this regard, the Ministry of Urban Development has prepared a general architecture of ICT standards containing two dimensions, i.e., performance indicators, and leading indicators. Performance indicators contain three first-level indicators and thirteen second-level indicators, while the leading indicators contain four and seven, respectively. Few of these indicators are interdependent, which infers that improving one indicator will significantly impact others. Studying this interdependency would help in the transition of an existing city into a smart city. Therefore, this study is built on the theory of the Fuzzy-DEMATEL technique, which is used to determine the significance of each first-level indicator and to assess their nature, i.e., cause and effect. Findings demonstrate that improving causal variables such as citizen beneficial services, efficient governance, intelligent facility, and cybersecurity consequently improves liveable environment, information resources, and innovation which are the effect variables. The outcomes of this study may be helpful to propose the thrust areas for research in building smart cities.