INTENTION TO ADOPT CHATGPT BY ACADEMICIANS UTILIZING DIFFUSION INNOVATION MODEL

Abstract

In this era of fourth industrial evaluation, users’ acceptance and adoption of Artificial Intelligence (AI) by its users complements a large literature and practical dimension shift, especially after the 2020 pandemic in the research area. The purpose of this study is to explore and investigate the central constructs and factors influencing academicians' intention to adopt ChatGPT in Bangladesh by academicians in their traditional workflows. This paper adopts Diffusion Innovation Theory (DIT). This paper analyzed a total of 148 academicians from both public and private universities, to find the intensity and willingness of their intention of using AI in their work purpose. The convenience sampling method was used in this study's quantitative approach to gather data. The study's findings revealed that complexity and compatibility are the most contributing factors in the adoption of ChatGPT by the academicians in Bangladesh, while conversely the variables relative advantage and observability don’t affect the adoption intention on a large scale. An external variable social influence is integrated as a moderator in this study. This study's practical consequences are relevant for universities in Bangladesh. The study also suggests universities may develop training programs to adopt new technologies and give facilities to make their education system more effective and smoother. The findings and implications of this study not only affect the workflow of the academicians on a large scale but also offer meaningful insights for educational leaders to build a technology-advanced & AI-based academic environment to standardize the learning sessions and environment.