The Development of Physical Retail Businesses with Artificial Intelligence Innovation for Payment

Abstract

This research article is a part of the research on an application of extended factors in technology acceptance model for studying behavioral Intention to use artificial intelligence in physical retail business aimed to 1. Study the key factors affecting the intention to use artificial intelligence innovation for payment in physical retail stores. 2. Study the impact in the retail business market resulting from the study of the key factors affecting the intention to use artificial intelligence innovation for payment in physical retail stores. 3. Present strategies for managing retail business in a crisis situation. Using mixed methods research. Quota and Purposive sampling are use in quantitative research with 400 samples and qualitative research with 4 sample. Data is analyzed by multiple regressions. The research founds that key factors affecting intention to use artificial intelligence for payments are Consumer Expected Outcome, Artificial Intelligence Attribute, Hedonic Value and Consumer Interaction which able to predict the level of intent to use at 63.2%. The impact that occurs with artificial intelligence for payment is helps to make it safe from COVID 19, helps to build confidence in choosing a service location and helps to increase the number of customers who come to use the service because there are fewer steps. Key strategies that use to address the stagnation of physical retail business are promoting the use of AI innovations in payments to attract safety-conscious consumers from COVID-19, promote the adoption of artificial intelligence for payment in retail stores that are struggling to wait in line due to their shorter steps and promote the use of artificial intelligence for payments to attract consumers who want speed in using the service.