Exploring Generative Artificial Intelligence (GAI): Business Professionals’ Surveys and Perceptions on GAI

• Published in: Journal of behavioral and applied management Vol. 24; no. 2; pp. 79 - 89
• Main Authors: Chen, Danxia, Jefferson, Cicely, Hix, Joanne, Qin, Nathan, Cao, Yumeng
• Format: Journal Article
• Language: English
• Published: Glendale Institute of Behavioral and Applied Management 31.07.2024
• Subjects: Automation; Big Data; Chatbots; Creativity; Economic growth; GDP; Generative artificial intelligence; Gross Domestic Product; History; Literature reviews; Problem solving; Productivity; Professionals; Skills; United States > US; North America
• DOI: 10.21818/001c.122143
• ISSN: 1930-0158

Generative AI (GAI) marks significant advancements in technology and machine learning models. It has achieved a newer and higher level of creativity and innovation through the AI system. With such rapid growth and boom in GAI, gaps exist in the current literature about the organizations and individual levels of applying GAI. The researchers conducted a mixed-methods study to explore business professionals’ experiences and perceptions of using GAI. This current study examined the purpose of using GAI and the statistically significant differences in productivity before using GAI versus after using GAI. The impact of gender, age, and educational background on work productivity while using GAI was also investigated. Furthermore, this study researched the most prominent GAI tools these business professionals use. The advantages and disadvantages of using GAI were analyzed through detailed content analyses of the qualitative data using NVIVO and SQL. This study highlights the vital impact of GAI in improving efficiency, increasing productivity, and fostering innovation. It also calls for strategic planning to maximize the GAI benefits in organizational implementations while addressing overreliance, ethics, security, hallucination, and user experience concerns.