Nowadays, smartphones and wearable devices are parts of a broader computing offering that include connected screens in the workplace and in public spaces. User experience designs will become critically important. This phenomenon affects individual, organization lifestyle, and educational industry. The high demand from educational industries has given some influences on the academics' lifestyle, specifically the lecturers whose previous lifestyle was conservative. Their conservative lifestyle has changed to a modern lifestyle due to the high level of mobility. This research investigates the influence of innovation factor towards smartphone adoption, which focuses on private college lecturers in Bandung. This research exposes innovation, which is particularly related to the mobile technology (smartphone) that is accepted by the lecturers. This research is aimed to figure out whether there are relevance, observe-ability (observe-ability), compatibility, personal demographics, personal experience, internal environment, and external environment influencing the attitude of smartphone utilization.The conceptual framework is developed from the synthesis of the literatures that are related to the innovation factor of smartphone adoption. The higher the innovation factor is when they use their smartphone, the more of the smartphone adoption takes place. This research was conducted on cross-sectional survey and convenience/accidental sampling from the lecturers of Telkom University in Bandung, Indonesia. The survey was done using questionnaire instrument, distributed using Google docs and face-to-face.Based on the validity and reliability tests obtained from the questionnaire pre-test results, this research questionnaire is apparently valid and reliable after removing item 24 and item 25. Item 24 stated that the usage of smartphone would not improve the business development process of the institution, but the laptop does. Item 25 stated that competitor institutions did not affect the use of smartphone inside an institution. The questionnaire post-test was carried out using 25 out of 27 question items. The next target that should be accomplished is the distribution of the questionnaire for the samples of the research, 223 respondents consisting of private college lecturers. After the number of respondents has been fulfilled, data analysis using Partial Least Square (PLS) technique was executed.