Inteligencia empresarial y su rol en la generación de valor en los procesos de negocios
DOI:
https://doi.org/10.22267/rtend.222302.222Palabras clave:
administración de empresas, análisis de datos, inteligencia artificial, tecnología de la información, toma de decisiones, sistema expertoResumen
El presente artículo tiene como objetivo explorar la inteligencia empresarial y su rol en la generación de valor en los procesos de negocios; así, esta bibliometría recoge, sintetiza y analiza 104 artículos sobre una variedad de temas estrechamente relacionados con la Inteligencia Empresarial (Business Intelligence – [BI]), y artículos publicados en el periodo 2009 a 2022, relacionados con el tema objeto. La metodología es de tipo cualitativo, para ello se utilizó la base de datos de Scopuslgunos de los principales hallazgos sugieren que, existe una asociación entre inteligencia empresarial y la competitividad, además se encontró que es necesario ampliar los enfoques BI para mitigar lagunas de conocimiento en esta área del saber Finalmente, se evidenció que BI proporciona un marco teórico y empírico para el desarrollo de una teoría consistente, así como una base para el logro de una ES competitiva de alto nivel.
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(1) 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. https://doi.org/10.5267/j.ijdns.2022.3.009
(2) Ahumada, E. y Perusquia, J. M. (2016). Inteligencia de Negocios: Estrategia para el Desarrollo de Competitividad en Empresas de Base Tecnológica en Tijuana, B.C. Contaduría y Administración, 61(1), 127-158. https://doi.org/10.1016/j.cya.2015.09.006
(3) Ain, N., Vaia, G., DeLone, W. H. & Waheed, M. (2019). Two decades of research on business intelligence system adoption, utilization and success – A systematic literature review. Decision Support Systems, 125, 113113. https://doi.org/10.1016/j.dss.2019.113113
(4) Al-edenat, M. & Alhawamdeh, N. (2022). Reconsidering individuals’ competencies in business intelligence and business analytics toward process effectiveness: mediation-moderation model. Business: Theory and Practice, 23(2), 239-251. https://doi.org/10.3846/btp.2022.16548
(5) Ali, I., Balta, M. & Papadopoulos, T. (2022). Social media platforms and social enterprise: Bibliometric analysis and systematic review. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2022.102510
(6) Arnott, D., Lizama, F. & Song, Y. (2017). Patterns of business intelligence systems use in organizations. Decision Support Systems, 97, 58-68. https://doi.org/10.1016/J.DSS.2017.03.005
(7) Asokan, D. R., Huq, F. A., Smith, C. M. & Stevenson, M. (2022). Socially responsible operations in the Industry 4.0 era: post-COVID-19 technology adoption and perspectives on future research. International Journal of Operations & Production Management, 42(13), 185-217. https://doi.org/10.1108/IJOPM-01-2022-0069
(8) Awawdeh, H., Abulaila, H., Alshanty, A. & Alzoubi, A. (2022). Digital entrepreneurship and its impact on digital supply chains: The mediating role of business intelligence applications. International Journal of Data and Network Science, 6(1), 233-242. https://doi.org/10.5267/J.IJDNS.2021.9.005
(9) Bag, S., Yadav, G., Dhamija, P. & Kataria, K. (2021). Key resources for industry 4.0 adoption and its effect on sustainable production and circular economy: An empirical study. Journal of Cleaner Production, 281, 125233. https://doi.org/10.1016/j.jclepro.2020.125233
(10) Balamurugan, S., Ayyasamy, A. & Suresh, J. (2020). Iot based supply chain traceability using enhanced naive bayes approach for scheming the food safety issues. International Journal of Scientific and Technology Research, 9(3), 1184-1192 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084209108&partnerID=40&md5=56174787d3b52fa0e9f2b30997a614
(11) Boonsiritomachai, W., McGrath, G. M. & Burgess, S. (2016). Exploring business intelligence and its depth of maturity in Thai SMEs. Cogent Business and Management, 3(1) https://doi.org/10.1080/23311975.2016.1220663
(12) Bordeleau, F. E., Mosconi, E. & de Santa, L. A. (2020). Business intelligence and analytics value creation in Industry 4.0: a multiple case study in manufacturing medium enterprises. Production Planning and Control, 31(2-3), 173-185. https://doi.org/10.1080/09537287.2019.1631458
(13) Brooks, P., El-Gayar, O. & Sarnikar, S. (2013, 7-10 de enero). Towards a business intelligence maturity model for healthcare [conferencia]. 46th Hawaii International Conference on System Sciences, Wailea, HI, EE. UU. https://ieeexplore.ieee.org/xpl/conhome/6479598/proceeding
(14) Candra, S. & Nainggolan, A. (2022). Understanding Business Intelligence and Analytics System Success from Various Business Sectors in Indonesia. CommIT Journal, 16(1), 37-52.
(15) Carbajal, A., Ninaquispe, J. & Cabanillas, M. (2022). Business Intelligence in Strategic Business Decision Making in Times of COVID-19: A Systematic Review of the Literature. In X. Yang, S. Sherratt, N. Dey & A. Joshi. (Eds.), Proceedings of Seventh International Congress on Information and Communication Technology (pp. 425-435). Editorial Springer. https://link.springer.com/book/10.1007/978-981-19-2394-4
(16) Cardoso, E. & Su, X. (2022). Designing a Business Intelligence and Analytics Maturity Model for Higher Education: A Design Science Approach. Applied Sciences, 12(9), 4625. https://doi.org/10.3390/app12094625
(17) Chugh, R. & Grandhi, S. (2013). Why Business Intelligence? Significance of Business Intelligence Tools and Integrating BI Governance with Corporate Governance. International Journal of E-Entrepreneurship and Innovation, 4(2), 1-14. https://doi.org/10.4018/ijeei.2013040101
(18) Chung, W., Pauleen, D. & Taskin, N. (2022). Enterprise systems, emerging technologies, and the data-driven knowledge organisation. Knowledge Management Research & Practice, 20(1), 1-13. https://doi.org/10.1080/14778238.2022.2039571
(19) Elbashir, M. Z., Collier, P. A. & Davern, M. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9(3), 135–153. https://doi.org/10.1016/j.accinf.2008.03.001
(20) García, C., Barón, E. y Sánchez, S. (2021). La inteligencia de negocios y la analítica de datos en los procesos empresariales. Revista Científica de Sistemas e Informática, 1(2), 38-53. https://doi.org/10.51252/rcsi.v1i2.167
(21) Ghlala, R., Kodia, Z. & Said, L. B. (2022). Enhancing Decision-Making Consistency in Business Process using a Rule-Based Approach. Journal of Telecommunications and the Digital Economy, 10(2), 44-61. https://doi.org/10.18080/jtde.v10n2.539
(22) Goldberg, D. M. & Abrahams, A. S. (2022). Sourcing product innovation intelligence from online reviews. Decision Support Systems, 157, 113751. https://doi.org/10.1016/j.dss.2022.113751
(23) Hagendorff, T. (2022). A Virtue-Based Framework to Support Putting AI Ethics into Practice. Philosophy & Technology, 35(3). https://doi.org/10.1007/s13347-022-00553-z
(24) Hsu, P. C., Huang, W. N., Kuo, K. M. & Yeh, Y. T. (2022). Application of Business Intelligence in Decision Support to Hospital Management: An Example of Outpatient Clinic Schedule Arrangement. In P. Otero, P. Scott, S. Martin & E. Huesing. (Eds.), MEDINFO 2021: One World, One Health-Global Partnership for Digital Innovation (pp. 1050-1051). Editorial IOS Press.
(25) Huber, M., Meier, J. & Wallimann, H. (2022). Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets. Transportation Research Part B: Methodological, 163, 22-39. https://doi.org/10.1016/j.trb.2022.06.006
(26) Jalali, S. M., Park, H., Vanani, I. & Pho, K. (2021). Research trends on big data domain using text mining algorithms. Digital Scholarship in the Humanities, 36(2), 361-370. https://doi.org/10.1093/llc/fqaa012
(27) Janyapoon, S., Liangrokapart, J. & Tan, A. (2021). Critical Success Factors of Business Intelligence Implementation in Thai Hospitals. International Journal of Healthcare Information Systems and Informatics, 16(4), 19-21. https://doi.org/10.4018/IJHISI.20211001.oa19
(28) Jourdan, Z., Rainer, R. K. & Marshall, T. E. (2008). Business intelligence: An analysis of the literature. Information Systems Management, 25(2), 121-131. https://doi.org/10.1080/10580530801941512
(29) Kanchanapoom, K. & Chongwatpol, J. (2020). Applications of business intelligence and marketing analytics in the complementary and alternative medicine industry. Journal of Information Technology Teaching Cases, 11(1), 30-42. https://doi.org/10.1177/2043886920910430
(30) Kapil, S., Sharma, K. & Bajaj, M. (2022). DeepWalk Based Influence Maximization (DWIM): Influence Maximization Using Deep Learning. Intelligent Automation & Soft Computing, 35(1), 1087-1101. https://doi.org/10.32604/iasc.2023.026134
(31) Khaled, A. S., Sharma, D. K., Yashwanth, T., Reddy, V. M. K., Doewes, R. & Naved, M. (2022). Evaluating the Role of Robotics, Machine Learning and Artificial Intelligence in the Field of Performance Management. In S. Yadav, A. Haleem, P. Arora & H. Kumar. (Eds.), Proceedings of Second International Conference in Mechanical and Energy Technology (285-299). Editorial Springer, Singapore. https://doi.org/10.1007/978-981-19-0108-9_30
(32) Kumar, D., Kr Singh, R., Mishra, R. & Fosso, S. (2022). Applications of the internet of things for optimizing warehousing and logistics operations: A systematic literature review and future research directions. Computers & Industrial Engineering, 171, 108455. https://doi.org/10.1016/j.cie.2022.108455
(33) Laqua, I. (2010). Der sinnvolle Einsatz von Business Intelligence-Systemen in der Produktion. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 105(3), 237-240. https://doi.org/10.3139/104.110268
(34) Li, J. & Lakzi, A. (2022). A new model for assessing the role of IT-based systems, public policies and business intelligence on the export competitiveness’s efficiency. Kybernetes, 51(1), 77-94. https://doi.org/10.1108/K-07-2020-0430
(35) Mahayossanand, R., Chaipatnithikul, P., Chintrakul, N. & Nananukul, N. (2017). Business intelligence for online advertising. Advanced Science Letters, 23(5), 4091-4096. https://doi.org/10.1166/asl.2017.8326
(36) Mangwayana, T. B. & Budree, A. (2021). Technical capabilities of business intelligence systems in South African medium to large organisations. International Journal of Business Intelligence and Data Mining, 20(1), 77-92. https://doi.org/10.1504/IJBIDM.2022.120032
(37) Mashingaidze, K. & Backhouse, J. (2017). The relationships between definitions of big data, business intelligence and business analytics: A literature review. International Journal of Business Information Systems, 26(4), 488-505. https://doi.org/10.1504/IJBIS.2017.087749
(38) Mezzour, G., Boudanga, Z. & Benhadou, S. (2020). Smart pandemic management through a smart, resilient and flexible decision-making system. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 44, 285-294. https://doi.org/10.5194/isprs-archives-XLIV-4-W3-2020-285-2020
(39) Mishra, B. K., Hazra, D., Tarannum, K., & Kumar, M. (2016, 25-27 de November). Business intelligence using data mining techniques and business analytics [conference]. 2016 International Conference System Modeling & Advancement in Research Trends (SMART), Moradabad, India. https://ieeexplore.ieee.org/xpl/conhome/7891863/proceeding
(40) Mollekopf, H. (2009). Nutzen von Business Intelligence-Systemen. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 104(5), 411-414. https://doi.org/10.3139/104.110077
(41) Muthukumaran, K. & Hariharanath, K. (2022). Deep Learning Enabled Financial Crisis Prediction Model for Small-Medium Sized Industries. Intelligent Automation & Soft Computing, 35(1), 521-536. https://doi.org/10.32604/iasc.2023.025968
(42) O’Donnell, P., Sipsma, S. & Watt, C. (2012). The critical issues facing business intelligence practitioners. Journal of Decision Systems, 21(3), 203-216. https://doi.org/10.1080/12460125.2012.731967
(43) Paulino, E. (2022). Amplifying organizational performance from business intelligence: Business analytics implementation in the retail industry. Journal of Entrepreneurship, Management and Innovation, 18(2), 69-104. https://doi.org/10.7341/20221823
(44) Souibgui, M., Atigui, F., Zammali, S., Cherfi, S. & Yahia, S. (2019). Data quality in ETL process: A preliminary study. Procedia Computer Science, 159, 676-687. https://doi.org/10.1016/j.procs.2019.09.223
(45) Sriram, V. P., Sujith, A. V., Bharti, A., Jena, S. K., Sharma, D. K. & Naved, M. (2022). A Critical Analysis of Machine Learning’s Function in Changing the Social and Business Ecosystem. In S. Yadav, A. Haleem, P. Arora & H. Kumar. (Eds.), Proceedings of Second International Conference in Mechanical and Energy Technology (pp. 285-299). Editorial Springer, Singapore. https://doi.org/10.1007/978-981-19-0108-9_36
(46) Tarek, B. H. & Adel, G. (2016). Business Intelligence versus Entrepreneurial Competitive Intelligence and International Competitiveness of North African SMEs. Journal of International Entrepreneurship, 14(4), 539-561. https://doi.org/10.1007/s10843-016-0194-8
(47) Upadhyay, N., Upadhyay, S., Al-Debei, M. M., Baabdullah, A. M. & Dwivedi, Y. K. (2022). The influence of digital entrepreneurship and entrepreneurial orientation on intention of family businesses to adopt artificial intelligence: examining the mediating role of business innovativeness. International Journal of Entrepreneurial Behaviour and Research. https://doi.org/10.1108/IJEBR-02-2022-0154
(48) Wee, M., Scheepers, H. & Tian, X. (2022). The role of leadership skills in the adoption of business intelligence and analytics by SMEs. Information Technology & People. https://doi.org/10.1108/ITP-09-2021-0669
(49) Yang, M., Sulaiman, R., Yin, Y., Mallamaci, V. & Alrabaiah, H. (2022). The effect of business intelligence, organizational learning and innovation on the financial performance of innovative companies located in Science Park. Information Processing and Management, 59(2), 102852. https://doi.org/10.1016/j.ipm.2021.102852
(50) Zheng, W., Wu, Y. C. & Chen, L. (2018). Business intelligence for patient-centeredness: A systematic review. Telematics and Informatics, 35(4), 665-676. https://doi.org/10.1016/J.TELE.2017.06.015
(2) Ahumada, E. y Perusquia, J. M. (2016). Inteligencia de Negocios: Estrategia para el Desarrollo de Competitividad en Empresas de Base Tecnológica en Tijuana, B.C. Contaduría y Administración, 61(1), 127-158. https://doi.org/10.1016/j.cya.2015.09.006
(3) Ain, N., Vaia, G., DeLone, W. H. & Waheed, M. (2019). Two decades of research on business intelligence system adoption, utilization and success – A systematic literature review. Decision Support Systems, 125, 113113. https://doi.org/10.1016/j.dss.2019.113113
(4) Al-edenat, M. & Alhawamdeh, N. (2022). Reconsidering individuals’ competencies in business intelligence and business analytics toward process effectiveness: mediation-moderation model. Business: Theory and Practice, 23(2), 239-251. https://doi.org/10.3846/btp.2022.16548
(5) Ali, I., Balta, M. & Papadopoulos, T. (2022). Social media platforms and social enterprise: Bibliometric analysis and systematic review. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2022.102510
(6) Arnott, D., Lizama, F. & Song, Y. (2017). Patterns of business intelligence systems use in organizations. Decision Support Systems, 97, 58-68. https://doi.org/10.1016/J.DSS.2017.03.005
(7) Asokan, D. R., Huq, F. A., Smith, C. M. & Stevenson, M. (2022). Socially responsible operations in the Industry 4.0 era: post-COVID-19 technology adoption and perspectives on future research. International Journal of Operations & Production Management, 42(13), 185-217. https://doi.org/10.1108/IJOPM-01-2022-0069
(8) Awawdeh, H., Abulaila, H., Alshanty, A. & Alzoubi, A. (2022). Digital entrepreneurship and its impact on digital supply chains: The mediating role of business intelligence applications. International Journal of Data and Network Science, 6(1), 233-242. https://doi.org/10.5267/J.IJDNS.2021.9.005
(9) Bag, S., Yadav, G., Dhamija, P. & Kataria, K. (2021). Key resources for industry 4.0 adoption and its effect on sustainable production and circular economy: An empirical study. Journal of Cleaner Production, 281, 125233. https://doi.org/10.1016/j.jclepro.2020.125233
(10) Balamurugan, S., Ayyasamy, A. & Suresh, J. (2020). Iot based supply chain traceability using enhanced naive bayes approach for scheming the food safety issues. International Journal of Scientific and Technology Research, 9(3), 1184-1192 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084209108&partnerID=40&md5=56174787d3b52fa0e9f2b30997a614
(11) Boonsiritomachai, W., McGrath, G. M. & Burgess, S. (2016). Exploring business intelligence and its depth of maturity in Thai SMEs. Cogent Business and Management, 3(1) https://doi.org/10.1080/23311975.2016.1220663
(12) Bordeleau, F. E., Mosconi, E. & de Santa, L. A. (2020). Business intelligence and analytics value creation in Industry 4.0: a multiple case study in manufacturing medium enterprises. Production Planning and Control, 31(2-3), 173-185. https://doi.org/10.1080/09537287.2019.1631458
(13) Brooks, P., El-Gayar, O. & Sarnikar, S. (2013, 7-10 de enero). Towards a business intelligence maturity model for healthcare [conferencia]. 46th Hawaii International Conference on System Sciences, Wailea, HI, EE. UU. https://ieeexplore.ieee.org/xpl/conhome/6479598/proceeding
(14) Candra, S. & Nainggolan, A. (2022). Understanding Business Intelligence and Analytics System Success from Various Business Sectors in Indonesia. CommIT Journal, 16(1), 37-52.
(15) Carbajal, A., Ninaquispe, J. & Cabanillas, M. (2022). Business Intelligence in Strategic Business Decision Making in Times of COVID-19: A Systematic Review of the Literature. In X. Yang, S. Sherratt, N. Dey & A. Joshi. (Eds.), Proceedings of Seventh International Congress on Information and Communication Technology (pp. 425-435). Editorial Springer. https://link.springer.com/book/10.1007/978-981-19-2394-4
(16) Cardoso, E. & Su, X. (2022). Designing a Business Intelligence and Analytics Maturity Model for Higher Education: A Design Science Approach. Applied Sciences, 12(9), 4625. https://doi.org/10.3390/app12094625
(17) Chugh, R. & Grandhi, S. (2013). Why Business Intelligence? Significance of Business Intelligence Tools and Integrating BI Governance with Corporate Governance. International Journal of E-Entrepreneurship and Innovation, 4(2), 1-14. https://doi.org/10.4018/ijeei.2013040101
(18) Chung, W., Pauleen, D. & Taskin, N. (2022). Enterprise systems, emerging technologies, and the data-driven knowledge organisation. Knowledge Management Research & Practice, 20(1), 1-13. https://doi.org/10.1080/14778238.2022.2039571
(19) Elbashir, M. Z., Collier, P. A. & Davern, M. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9(3), 135–153. https://doi.org/10.1016/j.accinf.2008.03.001
(20) García, C., Barón, E. y Sánchez, S. (2021). La inteligencia de negocios y la analítica de datos en los procesos empresariales. Revista Científica de Sistemas e Informática, 1(2), 38-53. https://doi.org/10.51252/rcsi.v1i2.167
(21) Ghlala, R., Kodia, Z. & Said, L. B. (2022). Enhancing Decision-Making Consistency in Business Process using a Rule-Based Approach. Journal of Telecommunications and the Digital Economy, 10(2), 44-61. https://doi.org/10.18080/jtde.v10n2.539
(22) Goldberg, D. M. & Abrahams, A. S. (2022). Sourcing product innovation intelligence from online reviews. Decision Support Systems, 157, 113751. https://doi.org/10.1016/j.dss.2022.113751
(23) Hagendorff, T. (2022). A Virtue-Based Framework to Support Putting AI Ethics into Practice. Philosophy & Technology, 35(3). https://doi.org/10.1007/s13347-022-00553-z
(24) Hsu, P. C., Huang, W. N., Kuo, K. M. & Yeh, Y. T. (2022). Application of Business Intelligence in Decision Support to Hospital Management: An Example of Outpatient Clinic Schedule Arrangement. In P. Otero, P. Scott, S. Martin & E. Huesing. (Eds.), MEDINFO 2021: One World, One Health-Global Partnership for Digital Innovation (pp. 1050-1051). Editorial IOS Press.
(25) Huber, M., Meier, J. & Wallimann, H. (2022). Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets. Transportation Research Part B: Methodological, 163, 22-39. https://doi.org/10.1016/j.trb.2022.06.006
(26) Jalali, S. M., Park, H., Vanani, I. & Pho, K. (2021). Research trends on big data domain using text mining algorithms. Digital Scholarship in the Humanities, 36(2), 361-370. https://doi.org/10.1093/llc/fqaa012
(27) Janyapoon, S., Liangrokapart, J. & Tan, A. (2021). Critical Success Factors of Business Intelligence Implementation in Thai Hospitals. International Journal of Healthcare Information Systems and Informatics, 16(4), 19-21. https://doi.org/10.4018/IJHISI.20211001.oa19
(28) Jourdan, Z., Rainer, R. K. & Marshall, T. E. (2008). Business intelligence: An analysis of the literature. Information Systems Management, 25(2), 121-131. https://doi.org/10.1080/10580530801941512
(29) Kanchanapoom, K. & Chongwatpol, J. (2020). Applications of business intelligence and marketing analytics in the complementary and alternative medicine industry. Journal of Information Technology Teaching Cases, 11(1), 30-42. https://doi.org/10.1177/2043886920910430
(30) Kapil, S., Sharma, K. & Bajaj, M. (2022). DeepWalk Based Influence Maximization (DWIM): Influence Maximization Using Deep Learning. Intelligent Automation & Soft Computing, 35(1), 1087-1101. https://doi.org/10.32604/iasc.2023.026134
(31) Khaled, A. S., Sharma, D. K., Yashwanth, T., Reddy, V. M. K., Doewes, R. & Naved, M. (2022). Evaluating the Role of Robotics, Machine Learning and Artificial Intelligence in the Field of Performance Management. In S. Yadav, A. Haleem, P. Arora & H. Kumar. (Eds.), Proceedings of Second International Conference in Mechanical and Energy Technology (285-299). Editorial Springer, Singapore. https://doi.org/10.1007/978-981-19-0108-9_30
(32) Kumar, D., Kr Singh, R., Mishra, R. & Fosso, S. (2022). Applications of the internet of things for optimizing warehousing and logistics operations: A systematic literature review and future research directions. Computers & Industrial Engineering, 171, 108455. https://doi.org/10.1016/j.cie.2022.108455
(33) Laqua, I. (2010). Der sinnvolle Einsatz von Business Intelligence-Systemen in der Produktion. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 105(3), 237-240. https://doi.org/10.3139/104.110268
(34) Li, J. & Lakzi, A. (2022). A new model for assessing the role of IT-based systems, public policies and business intelligence on the export competitiveness’s efficiency. Kybernetes, 51(1), 77-94. https://doi.org/10.1108/K-07-2020-0430
(35) Mahayossanand, R., Chaipatnithikul, P., Chintrakul, N. & Nananukul, N. (2017). Business intelligence for online advertising. Advanced Science Letters, 23(5), 4091-4096. https://doi.org/10.1166/asl.2017.8326
(36) Mangwayana, T. B. & Budree, A. (2021). Technical capabilities of business intelligence systems in South African medium to large organisations. International Journal of Business Intelligence and Data Mining, 20(1), 77-92. https://doi.org/10.1504/IJBIDM.2022.120032
(37) Mashingaidze, K. & Backhouse, J. (2017). The relationships between definitions of big data, business intelligence and business analytics: A literature review. International Journal of Business Information Systems, 26(4), 488-505. https://doi.org/10.1504/IJBIS.2017.087749
(38) Mezzour, G., Boudanga, Z. & Benhadou, S. (2020). Smart pandemic management through a smart, resilient and flexible decision-making system. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 44, 285-294. https://doi.org/10.5194/isprs-archives-XLIV-4-W3-2020-285-2020
(39) Mishra, B. K., Hazra, D., Tarannum, K., & Kumar, M. (2016, 25-27 de November). Business intelligence using data mining techniques and business analytics [conference]. 2016 International Conference System Modeling & Advancement in Research Trends (SMART), Moradabad, India. https://ieeexplore.ieee.org/xpl/conhome/7891863/proceeding
(40) Mollekopf, H. (2009). Nutzen von Business Intelligence-Systemen. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 104(5), 411-414. https://doi.org/10.3139/104.110077
(41) Muthukumaran, K. & Hariharanath, K. (2022). Deep Learning Enabled Financial Crisis Prediction Model for Small-Medium Sized Industries. Intelligent Automation & Soft Computing, 35(1), 521-536. https://doi.org/10.32604/iasc.2023.025968
(42) O’Donnell, P., Sipsma, S. & Watt, C. (2012). The critical issues facing business intelligence practitioners. Journal of Decision Systems, 21(3), 203-216. https://doi.org/10.1080/12460125.2012.731967
(43) Paulino, E. (2022). Amplifying organizational performance from business intelligence: Business analytics implementation in the retail industry. Journal of Entrepreneurship, Management and Innovation, 18(2), 69-104. https://doi.org/10.7341/20221823
(44) Souibgui, M., Atigui, F., Zammali, S., Cherfi, S. & Yahia, S. (2019). Data quality in ETL process: A preliminary study. Procedia Computer Science, 159, 676-687. https://doi.org/10.1016/j.procs.2019.09.223
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Publicado
2023-01-01
Cómo citar
Martínez Zabaleta, M. E., & Rodríguez Luna, R. E. (2023). Inteligencia empresarial y su rol en la generación de valor en los procesos de negocios. Tendencias, 24(1), 226–251. https://doi.org/10.22267/rtend.222302.222
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