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dc.contributorFaculty of Businessen_US
dc.contributor.advisorSin, Charleston (MM)en_US
dc.creatorHengky-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/13323-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic Universityen_US
dc.rightsAll rights reserveden_US
dc.titleAn exploratory study on leveraging the toe framework to explore the CSF of the commercial data interchange platform and multi-methodological approach to research using ChatGPTen_US
dcterms.abstractThe study on the adoption intention to a governmental commercial data interchange (CDI) platform in Hong Kong has shed valuable light on the factors influencing SME adoption behaviour and the potential of generative AI (GAI) tools like ChatGPT to enhance research efficiency and effectiveness. While the study has made significant contributions to the literature on technology adoption in SMEs, it also highlights the need for a cautious and discerning approach to utilizing GAI in research endeavours.en_US
dcterms.abstractThe study employed the Technology-Organization-Environment (“TOE”) framework to investigate the factors influencing SME adoption of the CDI platform. By examining the moderating role of trust in the context of the CDI platform and an organization, the study has provided a more nuanced understanding of the complexities of technology adoption in the SME sector.en_US
dcterms.abstractThe study has also demonstrated the potential of GAI tools like ChatGPT to streamline research processes and accelerate research outcomes. ChatGPT's capabilities in data collection, transcription, and coding have significantly reduced the time and effort required for these laborious tasks, allowing researchers to focus on more in-depth analysis and interpretation of the collected data.en_US
dcterms.abstractWhile GAI offers numerous advantages in research, it is crucial to acknowledge its limitations and use it with caution. Unlike human researchers, GAI tools may lack the ability to critically evaluate and interpret data, and their output may not always align with the nuances of human understanding.en_US
dcterms.abstractRather than viewing GAI as a replacement for human researchers, it should be seen as a complementary tool that can augment human expertise and expand the scope of research endeavours. By integrating GAI with traditional research methods and tools, researchers can leverage the strengths of both approaches to achieve more comprehensive and insightful research outcomes.en_US
dcterms.abstractThe future of GAI in research holds immense potential for accelerating knowledge discovery and deepening our understanding of complex phenomena. Continued research efforts should focus on enhancing the quality and reliability of GAI tools like ChatGPT, ensuring their accuracy and objectivity in generating research outputs.en_US
dcterms.abstractAdditionally, more exploration is needed to integrate GAI with traditional research methods, creating a synergistic approach that capitalizes on the strengths of both. By combining human expertise with the capabilities of GAI, researchers can achieve significant breakthroughs in understanding technology adoption, SME behaviour, and other areas of research.en_US
dcterms.extentxi, 255 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2024en_US
dcterms.educationalLevelDFinTechen_US
dcterms.educationalLevelAll Doctorateen_US
dcterms.LCSHBusiness -- Data processingen_US
dcterms.LCSHChatGPTen_US
dcterms.LCSHArtificial intelligenceen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/13323