A Latent Dirichlet Allocation Approach to Determine the Antecedents of e-Satisfaction of Smart Lighting App

One of the seventeen goals of sustainable development is responsible consumption and production. Lighting is one of the major consumers of electricity. Smart lighting can enhance energy efficiency and cut down on the wastage of electric energy. One such way to smart lighting is to use the smart lighting app to control switching actions with ease. Moreover, the adoption of these apps is determined by user satisfaction. Thus, the smart lighting app ‘Philips Hue’ was chosen to investigate user satisfaction with such an app. Using Latent Dirichlet Allocation (LDA), this study proposes nine e-satisfaction determinants of smart lightning apps. The dominance analysis showed update, device connection, and smart hue experiences are major determinants of user satisfaction with the smart lightning app. Smart hue experience is rated 5 based on correspondence analysis, whereas update and device connection are rated 1.