NAVIGATING ARTIFICIAL INTELLIGENCE’S FUTURE IN BUSINESS BY EXAMINING THE CONFLUENCE OF AI AND ENTREPRENEURSHIP: PERSPECTIVES FROM YOUNG ENTREPRENEURS

Authors

  • Ijaz Latif PhD Scholar, Department of Management Sciences, The Superior University, Lahore, Punjab, Pakistan.
  • Dr Khawaja Hisham Ul Hassan Associate Professor, Department of Commerce and Economics, The Superior University Lahore, Punjab, Pakistan.

Keywords:

AI Adoption; AI Future; Entrepreneurship; Young Entrepreneurs; Business Operations.

Abstract

This paper goes into profound mutual relation between AI and entrepreneurship, based on the insights given by young entrepreneurs. Current research often emphases on well-known business leaders and experts, ignoring the extraordinary viewpoints of young entrepreneurs.

This study employed the qualitative research design. The purpose of this study is to explore the point of view and different perspectives of young entrepreneurs about the convergence of AI and entrepreneurship by conducting semi structured interviews to collect the data. The data driven form interviews presented a pleasant knitted relation between the entrepreneurial journey and AI technological integration. The integration of artificial intelligence has transformed conventional business practices to more advanced tools, resulting in increased effectiveness, reduced expenses, and better decision making.

This research found that AI adoption in daily business operations has given a lifeline to new entrepreneurs to compete against the corporate businesses, this finding was the mainstay of the interviews given by the young business persons for this paper.

References

Jorzik, Philip, et al. (2024). AI-driven business model innovation: A systematic review and research agenda. Journal of Business Research, 39(3), 114764.

Atlassian. (n.d.) (2023). “Atlassian AI in Confluence.” Retrieved from Atlassian AI in Confluence

IBM. (n.d.) (2024). “What is Artificial Intelligence (AI) in Business?” Retrieved from IBM AI in Business.

Philip Jorzik, Anil Yigit, Dominik K. Kanbach, Sascha Kraus, and Marina Dabi´c. (2024). “Artificial Intelligence-Enabled Business Model Innovation: Competencies and Roles of Top Management.” IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, VOL. 71, 7044-7056.

Saunders, M., Lewis, P., & Thornhill, A. (2009). Research Methods for Business Students. Pearson Education.

Arbelaez Ossa, L., Lorenzini, G., Milford, S. R., Shaw, D., Elger, B. S., & Rost, M. (2024). Integrating ethics in AI development: a qualitative study. BMC Medical Ethics, 25, 102.

Siiman, L. A., Rannastu-Avalos, M., Pöysä-Tarhonen, J., Häkkinen, P., & Pedaste, M. (2023). Opportunities and Challenges for AI-Assisted Qualitative Data Analysis: An Example from Collaborative Problem-Solving Discourse DataIn Innovative Technologies and Learning (ICITL 2023) 1.

Christou, P. A. (2024). Ηow to Use Artificial Intelligence (AI) as a Resource, Methodological and Analysis Tool in Qualitative Research2.

Bessis, N. (2022). The Ontology of AI. In Artificial Intelligence and Machine Learning

Shane, S., & Venkataraman, S. (2000). The promise of entrepreneurship as a field of research. Academy of Management Review, 25(1), 217–2262.

Van Burg, E., Cornelissen, J., Stam, W., & Jack, S. (2022). Advancing Qualitative Entrepreneurship Research: Leveraging Methodological Plurality for Achieving Scholarly Impact. Entrepreneurship Theory and Practice, 46(1), 3–203.

Badea, C., & Gilpin, L. (2022). “Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation, and Reasoning.” arXiv preprint arXiv:2210.00608.

Naqvi, M. R., Elmhadhbi, L., Sarkar, A., Archimede, B., & Karray, M. H. (2024). “Survey on ontology-based explainable AI in manufacturing.” Journal of Intelligent Manufacturing.

Siddiqui, D., Mumtaz, U., & Ahmad, N. (2024). Artificial intelligence in entrepreneurship: A bibliometric analysis of the literature. Journal of Global Entrepreneurship Research, 14(13).

Jorzik, P., Yigit, A., Kanbach, D. K., Kraus, S., & Dabić, M. (2023). Artificial Intelligence-Enabled Business Model Innovation: Competencies and Roles of Top Management. Journal of Business Research, 125(2), 345-356. https://doi.org/10.1016/j.jbusres.2023.03.012.

Brynjolfsson, E., & McAfee, A. (2017). The Business of Artificial Intelligence: What it Can and Cannot Do for Your Organization. Harvard Business Review.

Carter, C. (2019). The Impact of Artificial Intelligence on Young Entrepreneurs. Journal of Business Research, 101, 135-146.

Cockburn, I. M., Henderson, R., & Stern, S. (2018). The Impact of Artificial Intelligence on Innovation. NBER Working Paper No. 24449.

Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial Intelligence for Decision Making in the Era of Big Data – Evolution, Challenges and Research Agenda. International Journal of Information Management, 48, 63-71.

Giones, F., & Brem, A. (2017). Digital Technology Entrepreneurship: A Definition and Research Agenda. Technology Innovation Management Review, 7(5), 44-51.

Huang, M.-H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155-172.

Longhurst, R. (2016). Semi-structured Interviews and Focus Groups. In N. Clifford, M. Cope, T. Gillespie, & S. French (Eds.), Key Methods in Geography (pp. 143-156). Sage.

Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M. (2017). Reshaping Business with Artificial Intelligence. MIT Sloan Management Review, 59(1), 1-17.

Wang, Y., Dass, M., Arnett, D. B., & Yu, X. (2020). Understanding Firms’ AI Adoption from an Institutional Perspective: Insights from Digital Platforms. Journal of Business Research, 123, 73-85.

Zhang, Y., Cui, L., & Zhang, J. (2020). The Role of Artificial Intelligence in Entrepreneurship: A Case Study Approach. Journal of Business Venturing Insights, 13, e00161.

Bharadwaj, A. (2019). Artificial intelligence and entrepreneurial capability: A systematic review and future directions. International Journal of Management Reviews, 21(4), 437-456.

Finkelstein, S. (2019). The AI revolution in entrepreneurship: Opportunities and challenges. Journal of Business Venturing Insights, 11, 100224.

Ford, M. (2019). Architects of Intelligence: The Truth About AI from the People Building It. Packt Publishing.

Huang, S. (2020). AI-driven entrepreneurship: A systematic review and research agenda. International Journal of Entrepreneurial Behaviour & Research, 26(2), 143-164.

Kuratko, D. F. (2020). The entrepreneurial mindset: A key to navigating the AI revolution. Business Horizons, 63(2), 147-155.

Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches. Sage Publications.

Rubin, H. J., & Rubin, I. S. (2011). Qualitative interviewing: The art of hearing data. Sage Publications.

Smith, J. A., & Osborn, M. (2008). Interpretative phenomenological analysis. In J. A. Smith (Ed.), Qualitative psychology: A practical guide to research methods (pp. 53–80). Sage Publications.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.

Creswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry and Research Design: Choosing Among Five Approaches. Sage Publications.

Kvale, S., & Brinkmann, S. (2015). Interviews: Learning the Craft of Qualitative Research Interviewing. Sage Publications.

Patton, M. Q. (2015). Qualitative Research & Evaluation Methods: Integrating Theory and Practice. Sage Publications.

14 Eng Final PAKISTAN ISLAMICUS July September 2024 Vol 04 Issue 03 Citation Page

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Published

08-09-2024

How to Cite

Ijaz Latif, & Khawaja Hisham Ul Hassan. (2024). NAVIGATING ARTIFICIAL INTELLIGENCE’S FUTURE IN BUSINESS BY EXAMINING THE CONFLUENCE OF AI AND ENTREPRENEURSHIP: PERSPECTIVES FROM YOUNG ENTREPRENEURS. PAKISTAN ISLAMICUS (An International Journal of Islamic & Social Sciences), 4(03), 176–189. Retrieved from https://pakistanislamicus.com/index.php/home/article/view/153