Chatting Heavily with ChatGPT: Investigating Usefulness, Privacy, Integrity, Ease, and Intention as Drivers of Technology Acceptance Among Business Communication Students

Teachers, students, and professionals widely use ChatGPT for business communication. Recent studies have explored predictors driving its adoption, predominantly from a general education perspective. To address this gap, this study examines predictors and barriers encountered by English for Specific Purposes (ESP) learners in India, a developing market with a significant number of ChatGPT users enrolled in business communication (BC) courses. A model based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) was proposed, incorporating seven predictors to assess their influence on the intention to use ChatGPT. Structural equation modeling (SEM) was performed on 526 students’ responses from two reputed Indian private universities, yielding a good model fit (minimum discrepancy by degree of freedom = 2.95, goodness of fit index [GFI] = 0.945, root mean square error of approximation [RMSEA] = 0.043). Further, the results identified five significant predictors: perceived usefulness (β = 0.234, p < 0.001), academic integrity (β = 0.291, p = 0.003), perceived ease of participation (β = 0.174, p = 0.013), privacy concerns (β = 0.224, p = 0.004), and perceived ease of participation’s effect on perceived usefulness (β = 0.354, p < 0.001). However, peer behavior (β = −0.032, p = 0.769) and security concerns (β = −0.059, p = 0.434) were found to be insignificant predictors. The findings suggest that ChatGPT adoption is shaped by perceived functionality, ethical confidence, ease of use, and privacy assurance, while peer behavior and security concerns play a limited role, likely due to the tool’s early-stage adoption and individualistic usage patterns. This study highlights the importance of addressing barriers through targeted training, transparent policies, and AI literacy initiatives to ensure responsible and effective integration of ChatGPT in academic and professional contexts.

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Publication Details

Journal
Business and Professional Communication Quarterly
Published
2025-05-05
DOI
https://doi.org/10.1177/23294906251319016
Citations
2
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
8.34
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article

Chatting Heavily with ChatGPT: Investigating Usefulness, Privacy, Integrity, Ease, and Intention as Drivers of Technology Acceptance Among Business Communication Students

Abdullah Malik, Md. Tauseef Qamar, Juhi Yasmeen, Srikrishna Swaroop VT
2 citations
Business and Professional Communication Quarterly
Technology Adoption and User Behaviour
8.34
article

Chatting Heavily with ChatGPT: Investigating Usefulness, Privacy, Integrity, Ease, and Intention as Drivers of Technology Acceptance Among Business Communication Students

Abdullah Malik, Md. Tauseef Qamar, Juhi Yasmeen, Srikrishna Swaroop VT
article en
2 citations

Abstract

Teachers, students, and professionals widely use ChatGPT for business communication. Recent studies have explored predictors driving its adoption, predominantly from a general education perspective. To address this gap, this study examines predictors and barriers encountered by English for Specific Purposes (ESP) learners in India, a developing market with a significant number of ChatGPT users enrolled in business communication (BC) courses. A model based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) was proposed, incorporating seven predictors to assess their influence on the intention to use ChatGPT. Structural equation modeling (SEM) was performed on 526 students’ responses from two reputed Indian private universities, yielding a good model fit (minimum discrepancy by degree of freedom = 2.95, goodness of fit index [GFI] = 0.945, root mean square error of approximation [RMSEA] = 0.043). Further, the results identified five significant predictors: perceived usefulness (β = 0.234, p < 0.001), academic integrity (β = 0.291, p = 0.003), perceived ease of participation (β = 0.174, p = 0.013), privacy concerns (β = 0.224, p = 0.004), and perceived ease of participation’s effect on perceived usefulness (β = 0.354, p < 0.001). However, peer behavior (β = −0.032, p = 0.769) and security concerns (β = −0.059, p = 0.434) were found to be insignificant predictors. The findings suggest that ChatGPT adoption is shaped by perceived functionality, ethical confidence, ease of use, and privacy assurance, while peer behavior and security concerns play a limited role, likely due to the tool’s early-stage adoption and individualistic usage patterns. This study highlights the importance of addressing barriers through targeted training, transparent policies, and AI literacy initiatives to ensure responsible and effective integration of ChatGPT in academic and professional contexts.

Business and Professional Communication Quarterly
Jain University (IN), Jagran Lakecity University (IN), Barkatullah University (IN)
Openalex Percentile: Top 3%
Technology Adoption and User Behaviour
8.34
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