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How to cite this paper
APA: Sharabati, A., Rehman, S., Malik, M., Sabra, S., Al-Sager, M & Al-lahham, M. (2024). Is AI biased? evidence from FinTech-based innovation in supply chain management companies?. International Journal of Data and Network Science, 8(3), 1839-1852.
Chicago/Turabian: Sharabati, A., Rehman, S., Malik, M., Sabra, S., Al-Sager, M & Al-lahham, M. 2024. "Is AI biased? evidence from FinTech-based innovation in supply chain management companies?." International Journal of Data and Network Science 8, no. 3 (2024): 1839-1852.
AMA: Sharabati, A., Rehman, S., Malik, M., Sabra, S., Al-Sager, M & Al-lahham, M. Is AI biased? evidence from FinTech-based innovation in supply chain management companies?. International Journal of Data and Network Science. 2024;8(3):1839-1852.
References
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Almashhadani, M., & Almashhadani, H. A. (2023). Translation Integration in Information Systems and Project Management: A Synergistic Approach. International Journal of Business and Management Invention, 12(6), 298-304.
Arora, M., & Sharma, R. L. (2023). Artificial intelligence and big data: ontological and communicative perspectives in multi-sectoral scenarios of modern businesses. foresight, 25(1), 126-143.
Bagga, S. K., Gera, S., & Haque, S. N. (2023). The mediating role of organizational culture: Transformational leadership and change management in virtual teams. Asia Pacific Management Review, 28(2), 120-131.
BAHUGUNA, D., KAUR, J., & SINGH, B. (2023). Artificial Intelligence's Integration in Supply Chain Management: A Comprehensive Review. European Economics Letter, 13(3), 1512-1527.
Cannas, V. G., Ciano, M. P., Saltalamacchia, M., & Secchi, R. (2023). Artificial intelligence in supply chain and operations management: a multiple case study research. International Journal of Production Research, 1-28.
Chión, S. J., Charles, V., & Morales, J. (2020). The impact of organisational culture, organisational structure and technological infrastructure on process improvement through knowledge sharing. Business Process Management Journal, 26(6), 1443-1472.
Dong, Z., Umar, M., Yousaf, U. B., & Muhammad, S. (2023). Determinants of central bank digital currency adoption–a study of 85 countries. Journal of Economic Policy Reform, 1-15.
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., & Eirug, A. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.
Ediagbonya, V., & Tioluwani, C. (2023). The role of fintech in driving financial inclusion in developing and emerging markets: issues, challenges and prospects. Technological Sustainability, 2(1), 100-119.
Ferreira, B., & Reis, J. (2023). Artificial Intelligence in Supply Chain Management: A Systematic Literature Review and Guidelines for Future Research. International Joint conference on Industrial Engineering and Operations Management,
Gichoya, J. W., Thomas, K., Celi, L. A., Safdar, N., Banerjee, I., Banja, J. D., Seyyed-Kalantari, L., Trivedi, H., & Purkayastha, S. (2023). AI pitfalls and what not to do: mitigating bias in AI. The British Journal of Radiology, 96(1150), 20230023.
Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the fintech revolution: Interpreting the forces of innovation, disruption, and transformation in financial services. Journal of management information systems, 35(1), 220-265.
Hendriksen, C. (2023). AI for Supply Chain Management: Disruptive Innovation or Innovative Disruption? Journal of Supply Chain Management.
Hunt, S. D., Sparkman Jr, R. D., & Wilcox, J. B. (1982). The pretest in survey research: Issues and preliminary findings. Journal of marketing research, 19(2), 269-273.
Jalal, A., Al Mubarak, M., & Durani, F. (2023). Financial technology (fintech). In Artificial Intelligence and Transforming Digital Marketing (pp. 525-536). Springer.
Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M., & Kuusk, A. (2023). Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities. Expert Systems with Applications, 216, 119456.
Johnson, D., Goodman, R., Patrinely, J., Stone, C., Zimmerman, E., Donald, R., Chang, S., Berkowitz, S., Finn, A., & Jahangir, E. (2023). Assessing the accuracy and reliability of AI-generated medical responses: an evaluation of the Chat-GPT model. Research square.
Karim, R. A., Sobhani, F. A., Rabiul, M. K., Lepee, N. J., Kabir, M. R., & Chowdhury, M. A. M. (2022). Linking Fintech Payment Services and Customer Loyalty Intention in the Hospitality Industry: The Mediating Role of Customer Experience and Attitude. Sustainability, 14(24), 16481.
Khan, A. A., Laghari, A. A., Rashid, M., Li, H., Javed, A. R., & Gadekallu, T. R. (2023). Artificial intelligence and blockchain technology for secure smart grid and power distribution Automation: A State-of-the-Art Review. Sustainable Energy Technologies and Assessments, 57, 103282.
Lahiya, A., & Mokodenseho, S. (2023). Examining the relationship between technological infrastructure and the quality of online education programs. West Science Interdisciplinary Studies, 1(02), 74-83.
Madan, R., & Ashok, M. (2023). AI adoption and diffusion in public administration: A systematic literature review and future research agenda. Government Information Quarterly, 40(1), 101774.
Nam, Y., & Lee, S. T. (2023). Behind the growth of FinTech in South Korea: Digital divide in the use of digital financial services. Telematics and Informatics, 81, 101995.
Pandya, A., Waller, M., & Portnoy, J. M. (2022). The regulatory environment of telemedicine after COVID-19. The Journal of Allergy and Clinical Immunology: In Practice, 10(10), 2500-2505.
Rehman, S. U., Al-Shaikh, M., Washington, P. B., Lee, E., Song, Z., Abu-AlSondos, I. A., Shehadeh, M., & Allahham, M. (2023). FinTech Adoption in SMEs and Bank Credit Supplies: A Study on Manufacturing SMEs. Economies, 11(8), 213.
Richey Jr, R. G., Chowdhury, S., Davis‐Sramek, B., Giannakis, M., & Dwivedi, Y. K. (2023). Artificial intelligence in logistics and supply chain management: A primer and roadmap for research. In (Vol. 44, pp. 532-549): Wiley Online Library.
Schultz, B. B. (1985). Levene's test for relative variation. Systematic Zoology, 34(4), 449-456.
Sham, A. H., Aktas, K., Rizhinashvili, D., Kuklianov, D., Alisinanoglu, F., Ofodile, I., Ozcinar, C., & Anbarjafari, G. (2023). Ethical AI in facial expression analysis: Racial bias. Signal, Image and Video Processing, 17(2), 399-406.
Shi, Y., Hall, N. G., & Cui, X. (2023). Work more tomorrow: Resolving present bias in project management. Operations Research, 71(1), 314-340.
Singh, A., Kanaujia, A., Singh, V. K., & Vinuesa, R. (2023). Artificial intelligence for Sustainable Development Goals: Bibliometric patterns and concept evolution trajectories. Sustainable Development.
Stauder, M., Hiersche, K. J., & Hayes, S. M. (2023). Examining cross-sectional and longitudinal relationships between multidomain physical fitness metrics, education, and cognition in Black older adults. Aging, Neuropsychology, and Cognition, 1-15.
Ulnicane, I., & Aden, A. (2023). Power and politics in framing bias in Artificial Intelligence policy. Review of Policy Research, 40(5), 665-687.
Waqar, A., Othman, I., Shafiq, N., & Mansoor, M. S. (2023). Applications of AI in oil and gas projects towards sustainable development: a systematic literature review. Artificial Intelligence Review, 1-28.
Al Naimat, A., & Liang, D. (2023). Substantial gains of renewable energy adoption and implementation in Maan, Jordan: a critical review. Results in Engineering, 101367.
Ali, S., Yan, Q., Dilanchiev, A., Irfan, M., & Fahad, S. (2023). Modeling the economic viability and performance of solar home systems: a roadmap towards clean energy for environmental sustainability. Environmental Science and Pollution Research, 30(11), 30612-30631.
Almashhadani, M., & Almashhadani, H. A. (2023). Translation Integration in Information Systems and Project Management: A Synergistic Approach. International Journal of Business and Management Invention, 12(6), 298-304.
Arora, M., & Sharma, R. L. (2023). Artificial intelligence and big data: ontological and communicative perspectives in multi-sectoral scenarios of modern businesses. foresight, 25(1), 126-143.
Bagga, S. K., Gera, S., & Haque, S. N. (2023). The mediating role of organizational culture: Transformational leadership and change management in virtual teams. Asia Pacific Management Review, 28(2), 120-131.
BAHUGUNA, D., KAUR, J., & SINGH, B. (2023). Artificial Intelligence's Integration in Supply Chain Management: A Comprehensive Review. European Economics Letter, 13(3), 1512-1527.
Cannas, V. G., Ciano, M. P., Saltalamacchia, M., & Secchi, R. (2023). Artificial intelligence in supply chain and operations management: a multiple case study research. International Journal of Production Research, 1-28.
Chión, S. J., Charles, V., & Morales, J. (2020). The impact of organisational culture, organisational structure and technological infrastructure on process improvement through knowledge sharing. Business Process Management Journal, 26(6), 1443-1472.
Dong, Z., Umar, M., Yousaf, U. B., & Muhammad, S. (2023). Determinants of central bank digital currency adoption–a study of 85 countries. Journal of Economic Policy Reform, 1-15.
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., & Eirug, A. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.
Ediagbonya, V., & Tioluwani, C. (2023). The role of fintech in driving financial inclusion in developing and emerging markets: issues, challenges and prospects. Technological Sustainability, 2(1), 100-119.
Ferreira, B., & Reis, J. (2023). Artificial Intelligence in Supply Chain Management: A Systematic Literature Review and Guidelines for Future Research. International Joint conference on Industrial Engineering and Operations Management,
Gichoya, J. W., Thomas, K., Celi, L. A., Safdar, N., Banerjee, I., Banja, J. D., Seyyed-Kalantari, L., Trivedi, H., & Purkayastha, S. (2023). AI pitfalls and what not to do: mitigating bias in AI. The British Journal of Radiology, 96(1150), 20230023.
Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the fintech revolution: Interpreting the forces of innovation, disruption, and transformation in financial services. Journal of management information systems, 35(1), 220-265.
Hendriksen, C. (2023). AI for Supply Chain Management: Disruptive Innovation or Innovative Disruption? Journal of Supply Chain Management.
Hunt, S. D., Sparkman Jr, R. D., & Wilcox, J. B. (1982). The pretest in survey research: Issues and preliminary findings. Journal of marketing research, 19(2), 269-273.
Jalal, A., Al Mubarak, M., & Durani, F. (2023). Financial technology (fintech). In Artificial Intelligence and Transforming Digital Marketing (pp. 525-536). Springer.
Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M., & Kuusk, A. (2023). Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities. Expert Systems with Applications, 216, 119456.
Johnson, D., Goodman, R., Patrinely, J., Stone, C., Zimmerman, E., Donald, R., Chang, S., Berkowitz, S., Finn, A., & Jahangir, E. (2023). Assessing the accuracy and reliability of AI-generated medical responses: an evaluation of the Chat-GPT model. Research square.
Karim, R. A., Sobhani, F. A., Rabiul, M. K., Lepee, N. J., Kabir, M. R., & Chowdhury, M. A. M. (2022). Linking Fintech Payment Services and Customer Loyalty Intention in the Hospitality Industry: The Mediating Role of Customer Experience and Attitude. Sustainability, 14(24), 16481.
Khan, A. A., Laghari, A. A., Rashid, M., Li, H., Javed, A. R., & Gadekallu, T. R. (2023). Artificial intelligence and blockchain technology for secure smart grid and power distribution Automation: A State-of-the-Art Review. Sustainable Energy Technologies and Assessments, 57, 103282.
Lahiya, A., & Mokodenseho, S. (2023). Examining the relationship between technological infrastructure and the quality of online education programs. West Science Interdisciplinary Studies, 1(02), 74-83.
Madan, R., & Ashok, M. (2023). AI adoption and diffusion in public administration: A systematic literature review and future research agenda. Government Information Quarterly, 40(1), 101774.
Nam, Y., & Lee, S. T. (2023). Behind the growth of FinTech in South Korea: Digital divide in the use of digital financial services. Telematics and Informatics, 81, 101995.
Pandya, A., Waller, M., & Portnoy, J. M. (2022). The regulatory environment of telemedicine after COVID-19. The Journal of Allergy and Clinical Immunology: In Practice, 10(10), 2500-2505.
Rehman, S. U., Al-Shaikh, M., Washington, P. B., Lee, E., Song, Z., Abu-AlSondos, I. A., Shehadeh, M., & Allahham, M. (2023). FinTech Adoption in SMEs and Bank Credit Supplies: A Study on Manufacturing SMEs. Economies, 11(8), 213.
Richey Jr, R. G., Chowdhury, S., Davis‐Sramek, B., Giannakis, M., & Dwivedi, Y. K. (2023). Artificial intelligence in logistics and supply chain management: A primer and roadmap for research. In (Vol. 44, pp. 532-549): Wiley Online Library.
Schultz, B. B. (1985). Levene's test for relative variation. Systematic Zoology, 34(4), 449-456.
Sham, A. H., Aktas, K., Rizhinashvili, D., Kuklianov, D., Alisinanoglu, F., Ofodile, I., Ozcinar, C., & Anbarjafari, G. (2023). Ethical AI in facial expression analysis: Racial bias. Signal, Image and Video Processing, 17(2), 399-406.
Shi, Y., Hall, N. G., & Cui, X. (2023). Work more tomorrow: Resolving present bias in project management. Operations Research, 71(1), 314-340.
Singh, A., Kanaujia, A., Singh, V. K., & Vinuesa, R. (2023). Artificial intelligence for Sustainable Development Goals: Bibliometric patterns and concept evolution trajectories. Sustainable Development.
Stauder, M., Hiersche, K. J., & Hayes, S. M. (2023). Examining cross-sectional and longitudinal relationships between multidomain physical fitness metrics, education, and cognition in Black older adults. Aging, Neuropsychology, and Cognition, 1-15.
Ulnicane, I., & Aden, A. (2023). Power and politics in framing bias in Artificial Intelligence policy. Review of Policy Research, 40(5), 665-687.
Waqar, A., Othman, I., Shafiq, N., & Mansoor, M. S. (2023). Applications of AI in oil and gas projects towards sustainable development: a systematic literature review. Artificial Intelligence Review, 1-28.