How to cite this paper
Ahmad, H & Mustafa, H. (2022). The impact of artificial intelligence, big data analytics and business intelligence on transforming capability and digital transformation in Jordanian telecommunication firms.International Journal of Data and Network Science, 6(3), 727-732.
Refrences
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Bordeleau, F. E., Mosconi, E., & de Santa-Eulalia, L. A. (2020). Business intelligence and analytics value creation in In-dustry 4.0: a multiple case study in manufacturing medium enterprises. Production Planning & Control, 31(2-3), 173-185.
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Hess, T., Benlian, A., Matt, C., & Wiesboeck, F. (2016). Options for formulating a digital transformation strategy. MIS Quarterly Executive, 15(2), 123-139.
Toole, J. L., Colak, S., Sturt, B., Alexander, L. P., Evsukoff, A., & González, M. C. (2015). The path most traveled: Travel demand estimation using big data resources. Transportation Research Part C: Emerging Technologies, 58, 162-177.
Kane, G. C. (2017). Digital maturity, not digital transformation. MIT sloan management review, 1.
Lamba, K., & Singh, S. P. (2017). Big data in operations and supply chain management: current trends and future perspec-tives. Production Planning & Control, 28(11-12), 877-890.
Lanzolla, G., Lorenz, A., Miron-Spektor, E., Schilling, M., Solinas, G., & Tucci, C. (2018). Digital transformation: What is new if anything. Academy of Management Discoveries, 4(3), 378-387.
Majchrzak, A., Markus, M. L., & Wareham, J. (2016). Designing for digital transformation. MIS quarterly, 40(2), 267-278.
Matt, C., Hess, T., & Benlian, A. (2015). Digital transformation strategies. Business & information systems engineering, 57(5), 339-343.
Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2017). Digital Innovation Management: Reinventing innovation management research in a digital world. MIS quarterly, 41(1), 223–238.
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Raffoni, A., Visani, F., Bartolini, M., & Silvi, R. (2018). Business performance analytics: exploring the potential for per-formance management systems. Production Planning & Control, 29(1), 51-67.
Sebastian, I.M., Moloney, K.G., Ross, J.W., Fonstad, N.O., Beath, C., & Mocker, M. (2017). How big old companies navi-gate digital transformation. MIS Quarterly Executive, 16(3), 197-213.
Tortorella, G.L., Vergara, A.M.C., Garza-Reyes, J.A., & Sawhney, R. (2020). Organizational learning paths based upon in-dustry 4.0 adoption: an empirical study with Brazilian manufacturers. International Journal of Production Economics, 219, 284-294.
Urbinati, A., Chiaroni, D., Chiesa, V., & Frattini, F. (2020). The role of digital technologies in open innovation processes: an exploratory multiple case study analysis. R&D Management, 50(1), 136-160.
Vial, G. (2019). Understanding digital transformation: a review and a research agenda. Journal of Strategic Information Systems, 28(2), 118-144.
Warner, K.S.R., & Wager, M. (2019). Building dynamic capabilities for digital transformation: an ongoing process of strategic renewal. Long Range Planning, 52(3), 326-349.
Westerman, G., Calméjane, C., Bonnet, D., Ferraris, P., & McAfee, A. (2011). Digital Transformation: A roadmap for bil-lion-dollar organizations. MIT Center for digital business and capgemini consulting, 1, 1-68.
Wieland, H., Hartmann, N. N., & Vargo, S. L. (2017). Business models as service strategy. Journal of the Academy of Marketing Science, 45(6), 925e943.
Wolfswinkel, J. F., Furtmueller, E., & Wilderom, C. P. (2013). Using grounded theory as a method for rigorously review-ing literature. European journal of information systems, 22(1), 45-55.
Yaqoob, I., Hashem, I. A. T., Gani, A., Mokhtar, S., Ahmed, E., Anuar, N. B., & Vasilakos, A. V. (2016). Big data: From beginning to future. International Journal of Information Management, 36(6), 1231-1247.
Yoo, Y. (2012). The tables have turned: How can the information systems field contribute to technology and innovation management research?. Journal of the association for information systems, 14(5), 4.
Jiang, Z., Hsu, C. H., Zhang, D., & Zou, X. (2016). Evaluating rail transit timetable using big passengers' data. Journal of Computer and System Sciences, 82(1), 144-155.
Bharadwaj, N., & Noble, C. (2017). Finding innovation in data rich environments. Journal of Product Innovation Man-agement, 34(5), 560-564.
Biswas, S., & Sen, J. (2017). A proposed architecture for big data driven supply chain analytics. IUP Journal of Supply Chain Management, 13(3), 7–33. doi:10.2139/ssrn.2795884.
Bordeleau, F. E., Mosconi, E., & de Santa-Eulalia, L. A. (2020). Business intelligence and analytics value creation in In-dustry 4.0: a multiple case study in manufacturing medium enterprises. Production Planning & Control, 31(2-3), 173-185.
Bordeleau, F. E., Mosconi, E., & Santa-Eulalia, L. A. (2018, January). Business Intelligence in Industry 4.0: State of the art and research opportunities. In Proceedings of the 51st Hawaii International Conference on System Sciences.
Chen, C., Ma, J., Susilo, Y., Liu, Y., & Wang, M. (2016). The promises of big data and small data for travel behavior (aka human mobility) analysis. Transportation research part C: emerging technologies, 68, 285-299.
Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technolo-gies for industrial performance. International Journal of production economics, 204, 383-394.
Fatorachian, H., & Kazemi, H. (2018). A critical investigation of Industry 4.0 in manufacturing: theoretical operationali-sation framework. Production Planning & Control, 29(8), 633-644.
Fitzgerald, M. (2014). Inside Renault's digital factory. MIT Sloan Management Review, 55(3), 1–4.
Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015). How ‘big data’can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234-246.
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufactur-ing companies. International Journal of Production Economics, 210, 15-26.
Gefen, D., Rigdon, E. E., & Straub, D. (2011). Editor's comments: an update and extension to SEM guidelines for adminis-trative and social science research. MIS Quarterly, 35(2), 3-14.
Gray, J., & Rumpe, B. (2017). Models for the digital transformation. Software System Modeling, 16(2), 307–308.
Lu, H. P., Sun, Z. Y., & Qu, W. C. (2015). Big data and its applications in urban intelligent transportation system. Journal of Transportation Systems Engineering and Information Technology, 15(5), 45-52.
He, J., Baxter, S. L., Xu, J., Xu, J., Zhou, X., & Zhang, K. (2019). The practical implementation of artificial intelligence technologies in medicine. Nature medicine, 25(1), 30-36.
Hess, T., Benlian, A., Matt, C., & Wiesboeck, F. (2016). Options for formulating a digital transformation strategy. MIS Quarterly Executive, 15(2), 123-139.
Toole, J. L., Colak, S., Sturt, B., Alexander, L. P., Evsukoff, A., & González, M. C. (2015). The path most traveled: Travel demand estimation using big data resources. Transportation Research Part C: Emerging Technologies, 58, 162-177.
Kane, G. C. (2017). Digital maturity, not digital transformation. MIT sloan management review, 1.
Lamba, K., & Singh, S. P. (2017). Big data in operations and supply chain management: current trends and future perspec-tives. Production Planning & Control, 28(11-12), 877-890.
Lanzolla, G., Lorenz, A., Miron-Spektor, E., Schilling, M., Solinas, G., & Tucci, C. (2018). Digital transformation: What is new if anything. Academy of Management Discoveries, 4(3), 378-387.
Majchrzak, A., Markus, M. L., & Wareham, J. (2016). Designing for digital transformation. MIS quarterly, 40(2), 267-278.
Matt, C., Hess, T., & Benlian, A. (2015). Digital transformation strategies. Business & information systems engineering, 57(5), 339-343.
Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2017). Digital Innovation Management: Reinventing innovation management research in a digital world. MIS quarterly, 41(1), 223–238.
Nenonen, S., & Storbacka, K. (2018). Smash: using market shaping to design new strategies for innovation, value crea-tion, and growth. Emerald Group Publishing.
Raffoni, A., Visani, F., Bartolini, M., & Silvi, R. (2018). Business performance analytics: exploring the potential for per-formance management systems. Production Planning & Control, 29(1), 51-67.
Sebastian, I.M., Moloney, K.G., Ross, J.W., Fonstad, N.O., Beath, C., & Mocker, M. (2017). How big old companies navi-gate digital transformation. MIS Quarterly Executive, 16(3), 197-213.
Tortorella, G.L., Vergara, A.M.C., Garza-Reyes, J.A., & Sawhney, R. (2020). Organizational learning paths based upon in-dustry 4.0 adoption: an empirical study with Brazilian manufacturers. International Journal of Production Economics, 219, 284-294.
Urbinati, A., Chiaroni, D., Chiesa, V., & Frattini, F. (2020). The role of digital technologies in open innovation processes: an exploratory multiple case study analysis. R&D Management, 50(1), 136-160.
Vial, G. (2019). Understanding digital transformation: a review and a research agenda. Journal of Strategic Information Systems, 28(2), 118-144.
Warner, K.S.R., & Wager, M. (2019). Building dynamic capabilities for digital transformation: an ongoing process of strategic renewal. Long Range Planning, 52(3), 326-349.
Westerman, G., Calméjane, C., Bonnet, D., Ferraris, P., & McAfee, A. (2011). Digital Transformation: A roadmap for bil-lion-dollar organizations. MIT Center for digital business and capgemini consulting, 1, 1-68.
Wieland, H., Hartmann, N. N., & Vargo, S. L. (2017). Business models as service strategy. Journal of the Academy of Marketing Science, 45(6), 925e943.
Wolfswinkel, J. F., Furtmueller, E., & Wilderom, C. P. (2013). Using grounded theory as a method for rigorously review-ing literature. European journal of information systems, 22(1), 45-55.
Yaqoob, I., Hashem, I. A. T., Gani, A., Mokhtar, S., Ahmed, E., Anuar, N. B., & Vasilakos, A. V. (2016). Big data: From beginning to future. International Journal of Information Management, 36(6), 1231-1247.
Yoo, Y. (2012). The tables have turned: How can the information systems field contribute to technology and innovation management research?. Journal of the association for information systems, 14(5), 4.
Jiang, Z., Hsu, C. H., Zhang, D., & Zou, X. (2016). Evaluating rail transit timetable using big passengers' data. Journal of Computer and System Sciences, 82(1), 144-155.