IDEAS home Printed from https://ideas.repec.org/a/mth/bmsmti/v16y2025i2p1-28.html

Creating New Knowledge Fast-the Partnership Role of Artificial Intelligence (AI) in the Human World

Author

Listed:
  • Eddie John Paul Fisher
  • Eddie Fisher

Abstract

Recent artificial intelligence (AI) developments provide the means to create new knowledge to enhance existing knowledge at individual, business, and societal levels much faster and more efficiently than ever before. There appears to be a widening gap between AI capabilities and people's abilities to adopt/adapt technologies. This research investigated how this extending gap could be closed. Appropriate AI training needs to be provided to those working in industries such as education and manufacturing, with a rollout into other sectors. The main emphasis needs to be on improving the understanding of this technology's capabilities and what this technology encompasses. The public needs to be better educated on the benefits of this modern technology. More international open, honest, and constructive sharing of the AI technologies employed/deployed must be implemented to reduce the likelihood of increased multi-directional diversion. More industries need to be encouraged to adopt/adapt the application of AI optimally. Teachers and students need to be trained appropriately to employ applications such as ChatGPT to create new knowledge and insights.

Suggested Citation

  • Eddie John Paul Fisher & Eddie Fisher, 2025. "Creating New Knowledge Fast-the Partnership Role of Artificial Intelligence (AI) in the Human World," Business Management and Strategy, Macrothink Institute, vol. 16(2), pages 1-28, December.
    • Handle: RePEc:mth:bmsmti:v:16:y:2025:i:2:p:1-28
    as

    Download full text from publisher

    File URL: https://www.macrothink.org/journal/index.php/bms/article/download/22693/17459
    Download Restriction: no
    File URL: https://www.macrothink.org/journal/index.php/bms/article/view/22693
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peng Hu & Yaobin Lu & Yeming Gong, 2021. "Dual humanness and trust in conversational AI : A person-centered approach," Post-Print hal-03598766, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Popa Radu-Ioan, 2023. "Human centricity and technology advances research in social sciences: A literature insight on artificial intelligence," Social Change Review, Sciendo, vol. 21(1), pages 56-76, December.
    2. Yogesh Dwivedi & Janarthanan Balakrishnan & Abdullah Baabdullah & Ronnie Das, 2023. "Do Chatbots Establish “Humanness” in the Customer Purchase Journey? An Investigation Through Explanatory Sequential Design," Post-Print hal-04533557, HAL.
    3. Do Khac, Lilian Tai & Leyer, Michael, 2026. "Towards an integrative model of organizational human-AI collaboration: A semi-systematic review of the current state of the art," Technology in Society, Elsevier, vol. 84(C).
    4. Marikyan, Davit & Papagiannidis, Savvas & Rana, Omer F. & Ranjan, Rajiv & Morgan, Graham, 2022. "“Alexa, let’s talk about my productivity”: The impact of digital assistants on work productivity," Journal of Business Research, Elsevier, vol. 142(C), pages 572-584.
    5. Dalvi-Esfahani, Mohammad & Barati-Ahmadabadi, Hajar & Ramayah, T. & Turner, Jason J. & A. Iahad, Noorminshah & Azar, Nasrin, 2025. "Stimulus-organism-response framework of decision-makers intention to adopt generative AI to replace entry-level jobs: The moderating impact of personality traits," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
    6. Hao, Riyan & Li, Chunqing, 2025. "How AI chatbots shape satisfactory experiences: A combined perspective of competence expansion and emotional extension," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    7. Nhan-Thanh Thi Nguyen & Phuc-Thien Tran & Tri-Quan Dang & Luan-Thanh Nguyen, 2024. "The future of non-contact commerce: the role of voice payments," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(4), pages 1260-1278, December.
    8. Ramaul, Laavanya & Ritala, Paavo & Ruokonen, Mika, 2024. "Creational and conversational AI affordances: How the new breed of chatbots is revolutionizing knowledge industries," Business Horizons, Elsevier, vol. 67(5), pages 615-627.
    9. Kayeser Fatima, Johra & Khan, Md Irfanuzzaman & Bahmannia, Somayeh & Chatrath, Sarvjeet Kaur & Dale, Naomi F. & Johns, Raechel, 2024. "Rapport with a chatbot? The underlying role of anthropomorphism in socio-cognitive perceptions of rapport and e-word of mouth," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    10. Hsu, Chin-Lung & Lin, Judy Chuan-Chuan, 2023. "Understanding the user satisfaction and loyalty of customer service chatbots," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    11. Xiaoyue Lin & Tiandong Wang & Fan Sheng, 2025. "Exploring the dual effect of trust in GAI on employees’ exploitative and exploratory innovation," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    12. Liu, Fanjue & Wang, Rang, 2025. "Fostering Parasocial Relationships with Virtual Influencers in the Uncanny Valley: Anthropomorphism, Autonomy, and a Multigroup Comparison," Journal of Business Research, Elsevier, vol. 186(C).
    13. Taoufiq Dadouch & Bouchra Bennani & Malika Haoucha, 2023. "Consumer Acceptance of Mobile Shopping Apps, From Basic Apps to AI-Conversational Apps: A Literature Review," Post-Print hal-04194657, HAL.
    14. Won-Jun Lee, 2024. "Service Failure by Human, Service Recovery by AI Chatbot: The Impact of Justice, AI Efficacy on Recovery Effort," Virtual Economics, The London Academy of Science and Business, vol. 7(4), pages 48-63, December.
    15. Rana, Nripendra P. & Pillai, Rajasshrie & Sivathanu, Brijesh & Malik, Nishtha, 2024. "Assessing the nexus of Generative AI adoption, ethical considerations and organizational performance," Technovation, Elsevier, vol. 135(C).
    16. Niu, Ben & Mvondo, Gustave Florentin Nkoulou, 2025. "Exploring user acceptance of physical intelligent assistants: A study on AI-powered eyewear," Technological Forecasting and Social Change, Elsevier, vol. 220(C).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mth:bmsmti:v:16:y:2025:i:2:p:1-28. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Technical Support Office The email address of this maintainer does not seem to be valid anymore. Please ask Technical Support Office to update the entry or send us the correct address (email available below). General contact details of provider: http://www.macrothink.org/journal/index.php/bms .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.