Using AI Chatbots to collect secondary source data on Sustainability Information Systems: Comparing ChatGPT, Bard and manual methods
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Ziqiao Qin
College:
College of Business and Public ManagementCollege of Business and Public Management
Major:
Marketing
Faculty Research Advisor(s):
Thomas Abraham
Abstract:
In the rapidly evolving digital era, there is an increasing need to explore efficient methods to collect and analyze data. This paper investigates the utility of AI chatbots, ChatGPT and Bard, as tools to collect secondary source data on Sustainability Information Systems (SIS) in comparison to traditional manual methods. Through systematic data collection and analysis of 2022 BYD’s CSR Report, we discovered that AI chatbots have the potential to streamline the data- gathering process, reduce human-induced errors, and provide a more interactive and dynamic experience for researchers. However, manual methods are still essential in situations where human judgment is required on nuances and where text needs to be clearly cited. In general, at the current stage, manual methods are still indispensable. The Manual method combined with an AI Chatbot is the best method. There is still much room for improvement in artificial intelligence chatbots to enrich the depth and breadth of SIS research.