What is it about?
This study examines the adoption intention and actual use of ChatGPT among professionals in Bangladesh, utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) as its theoretical framework. ChatGPT, driven by natural language processing and artificial intelligence, holds promise for transforming communication and productivity in professional environments. The research investigates various factors influencing adoption intention, including attitude towards AI, performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, trust, behavioral intention to use, and actual usage of ChatGPT. The research questions explore the relationships between these variables and aim to shed light on the dynamics of ChatGPT adoption among professionals. Specifically, the study seeks to understand how attitude towards AI impacts behavioral intention to use ChatGPT, the influence of performance and effort expectancy on behavioral intention, the role of social influence and facilitating conditions, the relationship between hedonic motivation and behavioral intention, the impact of trust, and the link between behavioral intention and actual usage of ChatGPT. The findings offer valuable insights into the factors driving adoption intention and usage of ChatGPT. They underscore the importance of fostering positive attitudes towards AI, emphasizing performance benefits, building trust, and creating conducive environments for adoption. The study's implications extend to organizations and policymakers, providing guidance on maximizing the benefits of AI applications like ChatGPT within the context of Bangladeshi professional settings. Overall, this research contributes to a deeper understanding of the adoption and usage behavior of ChatGPT, offering actionable recommendations for promoting its effective utilization.
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Why is it important?
This study holds significance for several reasons: Enhancing Productivity: ChatGPT, powered by natural language processing and artificial intelligence, has the potential to significantly enhance productivity in professional settings by streamlining communication, automating tasks, and providing quick access to information. Understanding the factors influencing its adoption and usage among professionals can lead to more effective implementation strategies, ultimately boosting productivity in various industries. Maximizing Technology Benefits: By examining variables such as attitude towards AI, performance expectancy, effort expectancy, and trust, the study provides insights into how professionals perceive and interact with AI-driven technologies like ChatGPT. This understanding can help organizations tailor their approaches to maximize the benefits of such technologies and address potential barriers to adoption. Informing Policy and Organizational Strategies: The findings of this study offer practical implications for organizations and policymakers in Bangladesh and beyond. By identifying key factors influencing adoption intention and actual usage, organizations can develop targeted interventions to encourage adoption and utilization of AI technologies. Policymakers can also use this research to inform policies aimed at fostering the adoption of AI and promoting innovation in professional contexts. Contributing to Knowledge Base: As AI technologies continue to evolve and play an increasingly prominent role in various aspects of society, research that examines their adoption and usage behavior becomes crucial. This study contributes to the existing knowledge base by providing insights into the specific context of ChatGPT adoption among Bangladeshi professionals, adding to our understanding of how AI technologies are perceived and utilized in different cultural and organizational settings.
Perspectives
Personal perspectives on this publication may vary depending on individual backgrounds, experiences, and interests. Here are some potential personal perspectives: Professional Interest: Professionals working in fields related to artificial intelligence, technology adoption, or organizational behavior may find this publication particularly relevant. They may appreciate the insights into how ChatGPT adoption is influenced by various factors and how these insights can be applied to improve technology implementation strategies in their own organizations. Academic Interest: Researchers and academics interested in the intersection of technology adoption, artificial intelligence, and organizational behavior may view this publication as a valuable contribution to the literature. They may find the study's theoretical framework, research methodology, and findings to be insightful for further exploration and discussion within their academic community. Cultural Perspective: Individuals with a cultural background or interest in Bangladesh may find the study's focus on professionals in this context to be particularly intriguing. They may appreciate how the findings provide insights into the unique cultural, social, and economic factors influencing technology adoption in Bangladesh and how these insights can inform broader discussions about technology adoption in diverse cultural contexts. Policy Implications: Policymakers and government officials involved in technology development and adoption initiatives may see this publication as useful for informing policy decisions. They may be interested in the study's recommendations for creating conducive environments for technology adoption and maximizing the benefits of artificial intelligence applications within their respective regions or sectors. Technology Enthusiasts: Individuals with a general interest in artificial intelligence, natural language processing, or emerging technologies may find this publication to be an intriguing exploration of how advanced technologies like ChatGPT are being integrated into professional environments. They may appreciate the study's insights into the potential benefits and challenges associated with adopting such technologies in real-world settings.
Md Mehedi Hasan Emon
American International University Bangladesh
Read the Original
This page is a summary of: Predicting Adoption Intention of Artificial Intelligence ChatGPT, AIUB Journal of Science and Engineering (AJSE), August 2023, American International University - Bangladesh,
DOI: 10.53799/ajse.v22i2.797.
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