How to cite this paper
APA: Allahham, M., Sharabati, A., Al-Sager, M., Sabra, S., Awartani, L & Khraim, A. (2024). Supply chain risks in the age of big data and artificial intelligence: The role of risk alert tools and managerial apprehensions. Uncertain Supply Chain Management, 12(1), 399-406.
Chicago/Turabian: Allahham, M., Sharabati, A., Al-Sager, M., Sabra, S., Awartani, L & Khraim, A. 2024. "Supply chain risks in the age of big data and artificial intelligence: The role of risk alert tools and managerial apprehensions." Uncertain Supply Chain Management 12, no. 1 (2024): 399-406.
AMA: Allahham, M., Sharabati, A., Al-Sager, M., Sabra, S., Awartani, L & Khraim, A. Supply chain risks in the age of big data and artificial intelligence: The role of risk alert tools and managerial apprehensions. Uncertain Supply Chain Management. 2024;12(1):399-406.
References
Alkhwaldi, A. F., Abu-Alsondos, I., Abdulmuhsin, A., Shehadeh, M., & Aldhmour, F. M. (2023, May). Toward an Understanding of Cutting Edge Technologies in Financial Industry: Cryptocurrency Adoption. In Conference on Sustainability and Cutting-Edge Business Technologies (pp. 64-82). Cham: Springer Nature Switzerland.
Ai Ping, T., & Al-Okaily, M. (2023a). Evaluation of Data Analytics-Oriented Business Intelligence Technology Effectiveness: An Enterprise-Level Analysis. Business Process Management Journal. Vol. and No. ahead-of-print. https://doi.org/10.1108/BPMJ-10-2022-0546.
Ai Ping, T., Al-Okaily, M., Iranmanesh, M., & Al-Betar, M. (2023b). The Efficiency Measurement of Business Intelligence Systems in the Big Data-Driven Economy: A Multidimensional Model. Information Discovery and Delivery. Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IDD-01-2022-0008.
Aravindaraj, K., & Rajan Chinna, P. (2022). A systematic literature review of integration of industry 4.0 and warehouse management to achieve Sustainable Development Goals (SDGs). Cleaner Logistics and Supply Chain, 5, 100072. https://doi.org/https://doi.org/10.1016/j.clscn.2022.100072
Al-Okaily, A., Al-Okaily, M., & Teoh, A. P., and Al-Debei, M. (2022). An Empirical Study on Data Warehouse Systems Effectiveness: The Case of Jordanian Banks in the Business Intelligence Era. EuroMed Journal of Business. Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EMJB-01-2022-0011.
Bataineh, A., Abu-AlSondos, I., Salhab, H., & Al-Abbas, L. (2022). A structural equation model for analyzing the relationship between enterprise resource planning and digital supply chain management. Uncertain Supply Chain Management, 10(4), 1289-1296.
Bayram, O., Talay, I., & Feridun, M. (2022). Can FinTech promote sustainable finance? Policy lessons from the case of Turkey. Sustainability, 14(19), 12414.
Dahlke, D. V., Lee, S., Smith, M. L., Shubert, T., Popovich, S., & Ory, M. G. (2021). Attitudes toward technology and use of fall alert wearables in caregiving: survey study. JMIR aging, 4(1), e23381.
Graves, M. (2022). Apprehending AI moral purpose in practical wisdom. AI & SOCIETY, 1-14.
Hatamlah, H., Allahham, M., Abu-AlSondos, I., Al-Junaidi, A., Al-Anati, G., & Al-Shaikh, M. (2023a) The Role of Business Intelligence adoption as a Mediator of Big Data Analytics in the Management of Outsourced Reverse Supply Chain Operations, , Applied Mathematics & Information Sciences. 17 (5) 897-903
Hatamlah, H., Allahham, M., Abu-AlSondos, I., Mushtaha, A., Al-Anati, G., Al-Shaikh, M., & Ali, B. (2023b) Assessing the Moderating Effect of Innovation on the Relationship between Information Technology and Supply Chain Management: An Empirical Examination, Applied Mathematics & Information Sciences. 17(5) 889-895.
Hatamlah, H., Allan, M., Abu-AlSondos, I., Shehadeh, M., & Allahham, M. (2023c). The role of artificial intelligence in supply chain analytics during the pandemic. Uncertain Supply Chain Management, 11(3), 1175-1186.
Hangl, J., Krause, S., & Behrens, V. J. (2023). Expert interviews of drivers, barriers and social considerations for AI adoption in SCM. Technology in Society, 102299.
Herath, H., & Mittal, M. (2022). Adoption of artificial intelligence in smart cities: A comprehensive review. International Journal of Information Management Data Insights, 2(1), 100076.
Ikram, M., Ferasso, M., Sroufe, R., & Zhang, Q. (2021). Assessing green technology indicators for cleaner production and sustainable investments in a developing country context. Journal of Cleaner Production, 322, 129090.
Jauhar, S. K., Jani, S. M., Kamble, S. S., Pratap, S., Belhadi, A., & Gupta, S. (2023). How to use no-code artificial intelligence to predict and minimize the inventory distortions for resilient supply chains. International Journal of Production Research, 1-25.
Jha, A. K., Agi, M. A., & Ngai, E. W. (2020). A note on big data analytics capability development in supply chain. Decision Support Systems, 138, 113382.
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.
Li, Y., Sun, H., Li, D., Song, J., & Ding, R. (2022). Effects of digital technology adoption on sustainability performance in construction projects: The mediating role of stakeholder collaboration. Journal of Management in Engineering, 38(3), 04022016.
Okine, A. N. D., Li, Y., Djimesah, I. E., Zhao, H., Budu, K. W. A., Duah, E., & Mireku, K. K. (2023). Analyzing crowdfunding adoption from a technology acceptance perspective. Technological Forecasting and Social Change, 192, 122582.
Pan, S., Trentesaux, D., McFarlane, D., Montreuil, B., Ballot, E., & Huang, G. Q. (2021). Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet. Computers in industry, 128, 103435.
Rehman, S. U., Al-Shaikh, M., Washington, P. B., Lee, E., Song, Z., Abu-AlSondos, I. A., ... & Allahham, M. (2023). FinTech Adoption in SMEs and Bank Credit Supplies: A Study on Manufacturing SMEs. Economies, 11(8), 213.
Schmidt, D. H., van Dierendonck, D., & Weber, U. (2023). The data-driven leader: developing a big data analytics leadership competency framework. Journal of Management Development, 42(4), 297-326.
Woo, J., Fatima, R., Kibert, C. J., Newman, R. E., Tian, Y., & Srinivasan, R. S. (2021). Applying blockchain technology for building energy performance measurement, reporting, and verification (MRV) and the carbon credit market: A review of the literature. Building and Environment, 205, 108199.
Yu, Y., Li, K., Duan, S., & Song, C. (2023). Economic growth and environmental pollution in China: New evidence from government work reports. Energy Economics, 124, 106803. https://doi.org/https://doi.org/10.1016/j.eneco.2023.106803
Ai Ping, T., & Al-Okaily, M. (2023a). Evaluation of Data Analytics-Oriented Business Intelligence Technology Effectiveness: An Enterprise-Level Analysis. Business Process Management Journal. Vol. and No. ahead-of-print. https://doi.org/10.1108/BPMJ-10-2022-0546.
Ai Ping, T., Al-Okaily, M., Iranmanesh, M., & Al-Betar, M. (2023b). The Efficiency Measurement of Business Intelligence Systems in the Big Data-Driven Economy: A Multidimensional Model. Information Discovery and Delivery. Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IDD-01-2022-0008.
Aravindaraj, K., & Rajan Chinna, P. (2022). A systematic literature review of integration of industry 4.0 and warehouse management to achieve Sustainable Development Goals (SDGs). Cleaner Logistics and Supply Chain, 5, 100072. https://doi.org/https://doi.org/10.1016/j.clscn.2022.100072
Al-Okaily, A., Al-Okaily, M., & Teoh, A. P., and Al-Debei, M. (2022). An Empirical Study on Data Warehouse Systems Effectiveness: The Case of Jordanian Banks in the Business Intelligence Era. EuroMed Journal of Business. Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EMJB-01-2022-0011.
Bataineh, A., Abu-AlSondos, I., Salhab, H., & Al-Abbas, L. (2022). A structural equation model for analyzing the relationship between enterprise resource planning and digital supply chain management. Uncertain Supply Chain Management, 10(4), 1289-1296.
Bayram, O., Talay, I., & Feridun, M. (2022). Can FinTech promote sustainable finance? Policy lessons from the case of Turkey. Sustainability, 14(19), 12414.
Dahlke, D. V., Lee, S., Smith, M. L., Shubert, T., Popovich, S., & Ory, M. G. (2021). Attitudes toward technology and use of fall alert wearables in caregiving: survey study. JMIR aging, 4(1), e23381.
Graves, M. (2022). Apprehending AI moral purpose in practical wisdom. AI & SOCIETY, 1-14.
Hatamlah, H., Allahham, M., Abu-AlSondos, I., Al-Junaidi, A., Al-Anati, G., & Al-Shaikh, M. (2023a) The Role of Business Intelligence adoption as a Mediator of Big Data Analytics in the Management of Outsourced Reverse Supply Chain Operations, , Applied Mathematics & Information Sciences. 17 (5) 897-903
Hatamlah, H., Allahham, M., Abu-AlSondos, I., Mushtaha, A., Al-Anati, G., Al-Shaikh, M., & Ali, B. (2023b) Assessing the Moderating Effect of Innovation on the Relationship between Information Technology and Supply Chain Management: An Empirical Examination, Applied Mathematics & Information Sciences. 17(5) 889-895.
Hatamlah, H., Allan, M., Abu-AlSondos, I., Shehadeh, M., & Allahham, M. (2023c). The role of artificial intelligence in supply chain analytics during the pandemic. Uncertain Supply Chain Management, 11(3), 1175-1186.
Hangl, J., Krause, S., & Behrens, V. J. (2023). Expert interviews of drivers, barriers and social considerations for AI adoption in SCM. Technology in Society, 102299.
Herath, H., & Mittal, M. (2022). Adoption of artificial intelligence in smart cities: A comprehensive review. International Journal of Information Management Data Insights, 2(1), 100076.
Ikram, M., Ferasso, M., Sroufe, R., & Zhang, Q. (2021). Assessing green technology indicators for cleaner production and sustainable investments in a developing country context. Journal of Cleaner Production, 322, 129090.
Jauhar, S. K., Jani, S. M., Kamble, S. S., Pratap, S., Belhadi, A., & Gupta, S. (2023). How to use no-code artificial intelligence to predict and minimize the inventory distortions for resilient supply chains. International Journal of Production Research, 1-25.
Jha, A. K., Agi, M. A., & Ngai, E. W. (2020). A note on big data analytics capability development in supply chain. Decision Support Systems, 138, 113382.
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.
Li, Y., Sun, H., Li, D., Song, J., & Ding, R. (2022). Effects of digital technology adoption on sustainability performance in construction projects: The mediating role of stakeholder collaboration. Journal of Management in Engineering, 38(3), 04022016.
Okine, A. N. D., Li, Y., Djimesah, I. E., Zhao, H., Budu, K. W. A., Duah, E., & Mireku, K. K. (2023). Analyzing crowdfunding adoption from a technology acceptance perspective. Technological Forecasting and Social Change, 192, 122582.
Pan, S., Trentesaux, D., McFarlane, D., Montreuil, B., Ballot, E., & Huang, G. Q. (2021). Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet. Computers in industry, 128, 103435.
Rehman, S. U., Al-Shaikh, M., Washington, P. B., Lee, E., Song, Z., Abu-AlSondos, I. A., ... & Allahham, M. (2023). FinTech Adoption in SMEs and Bank Credit Supplies: A Study on Manufacturing SMEs. Economies, 11(8), 213.
Schmidt, D. H., van Dierendonck, D., & Weber, U. (2023). The data-driven leader: developing a big data analytics leadership competency framework. Journal of Management Development, 42(4), 297-326.
Woo, J., Fatima, R., Kibert, C. J., Newman, R. E., Tian, Y., & Srinivasan, R. S. (2021). Applying blockchain technology for building energy performance measurement, reporting, and verification (MRV) and the carbon credit market: A review of the literature. Building and Environment, 205, 108199.
Yu, Y., Li, K., Duan, S., & Song, C. (2023). Economic growth and environmental pollution in China: New evidence from government work reports. Energy Economics, 124, 106803. https://doi.org/https://doi.org/10.1016/j.eneco.2023.106803