THE IMPACT OF CLOUD COMPUTING ADOPTION ON THE JOB EFFICIENCY OF DATA ANALYSTS THROUGH THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY 2

Abstract

This study aims to investigate the impact of cloud computing adoption on the job efficiency of data analysts using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) as the primary theoretical framework. The findings indicate that individual factors such as gender and work experience do not significantly influence job efficiency among data analysts. However, other personal factors, including age, income, organization size, and work location, show significant variations in job efficiency among data analysts. Furthermore, UTAUT2 significantly influences job efficiency among data analysts utilizing cloud computing provided by data centers in Thailand. The factors, ranked by their impact, are as follows: 1) Performance Expectancy, 2) Facilitating Conditions, 3) Price/Value, 4) Social Influence, and 5) Effort Expectancy. Therefore, the study suggests that the acceptance and use of cloud computing technology positively impacts job efficiency. This finding provides valuable insights for management to implement cloud computing technology to support organizational efficiency effectively.