Factors influencing adoption and usage probability of automated parcel lockers

Abstract

The study proposes a model to predict probability to use Automated Parcel Locker (APL) in Bangkok by adopting Multiple Linear Regression. In addition, to help business to market to the right target and increase the intention to use, the study investigates factors influencing Intention to use APL by employing Structural Equation Model (SEM). The framework is developed based on Technology Acceptance Model (TAM) and other external factors. The questionaries were conducted for both methods with 718 observation and 500 responses, randomly selected.

The results show that variables best predict probability to use APL is price set with discount, followed by location of APL, travelling distance, and demographic factors (age, gender, education, occupation, and individual income). Moreover, from SEM analysis, it shows that Trialability has strong positive impact to Perceived Ease of use and Perceived Usefulness, which positively impact to Attitude and Intention to use respectively. However, it also found out that Transaction cost, Technology anxiety and Perceived control do not impact on Intention to use. For the last part of this study, the comparative analysis showed that if 10% of APL adoption is realized, 16% of carbon emission will be reduced based on given assumptions.