Perspectivas investigativas sobre la aplicación del Big Data en los procesos de gestión organizacional: oportunidades y desafíos

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Abdelhalim, A. M., & Hassan, M. (2025). Exploring the impact of big data analytics and risk management convergence on sustainability performance development: an accounting perspective. Discover Sustainability, 6, Artículo 175. https://doi.org/10.1007/s43621-025-00866-x

Ahatsi, E., & Olanrewaju, O. A. (2025). Resilience in humanitarian supply chains: Addressing artificial intelligence and big data hurdles across borders. Engineering Reports, 7(7). https://onlinelibrary.wiley.com/ai/10.1002/eng2.70310

Alaskar, T. H., Alsadi, A. K., Aloulou, W. J., & Ayadi, F. M. (2024). Big data analytics, strategic capabilities, and innovation performance: Mediation approach of organizational ambidexterity. Sustainability, 16(12), 5111. https://doi.org/10.3390/su16125111

Aldboush, H. H. H., & Ferdous, M. (2023). Building trust in fintech: An analysis of ethical and privacy considerations in the intersection of big data, AI, and customer trust. International Journal of Financial Studies, 11(3), 90. https://doi.org/10.3390/ijfs11030090

Alshareef, H. R., & Emeagwali, O. L. (2026). Business intelligence capabilities and SME innovation: The mediating role of knowledge management capability and the moderating effect of data-driven decision making. Systems, 14(4), 339. https://doi.org/10.3390/systems14040339

Angelopoulos, S., Bendoly, E., Fransoo, J., Hoberg, K., Ou, C., & Tenhiälä, A. (2023). Digital transformation in operations management: Fundamental change through agency reversal. Journal of Operations Management, 69(6), 876–889. https://onlinelibrary.wiley.com/ai/10.1002/joom.1271

Atayurt, A. (2024). Role and importance of big data usage in gaining competitive advantage. Journal of International Trade, Logistics and Law, 10(1), 77–91. https://www.jital.org/index.php/jital/article/view/450

Atlas, F., Yitong, Y., & Khan, K. U. (2025). The financial and market impact of big data analytics and big data talent analytics capability: A knowledge management perspective. Humanities and Social Sciences Communications, 12, Artículo 919. https://doi.org/10.1057/s41599-025-05206-y

Awasthi, A., Krpalkova, L., & Walsh, J. (2025). Bridging the maturity gaps in industrial data science: Navigating challenges in IoT-driven manufacturing. Technologies, 13(1), 22. https://doi.org/10.3390/technologies13010022

Begley, T. M., Dominick, P., Iordanoglou, D., Lianidou, T., Marchese, M., & Prastacos, G. P. (2025). Practitioner experiences with digitalization in human resource management. Human Resource Management Journal, 35(4), 1078–1094. https://onlinelibrary.wiley.com/ai/10.1111/1748-8583.70002

Bi, C., Zhou, S., Zhao, X., Wang, Z., & Tian, F. (2025). The trend of laboratory medicine based on big data. iLABMED, 3(3), 312–321. https://onlinelibrary.wiley.com/ai/10.1002/ila2.70009

Bilkštytė Skanė, D., & Akstinaite, V. (2023). Strategic organizational changes: Adopting data driven decisions. Strategic Change, 33(2), 107–116. https://onlinelibrary.wiley.com/ai/10.1002/jsc.2566

Billanes, J. D., Ma, Z. G., & Jørgensen, B. N. (2025). Data-driven technologies for energy optimization in smart buildings: A scoping review. Energies, 18(2), 290. https://doi.org/10.3390/en18020290

Bordas, A., Le Masson, P., & Weil, B. (2025). From knowledge management to data management in innovation: Organizing to leverage data through anomalies. Creativity and Innovation Management, 34(4), 870–890. https://onlinelibrary.wiley.com/ai/10.1111/caim.70004

Cahyono, D., et al. (2025). Challenges and opportunities in implementing big data for small and medium enterprises (SMEs). Journal of Computer Science and Technology Application, 2(1), 75–83. https://doi.org/10.33050/corisinta.v2i1.74

Cappa, F., Acciarini, C., Oriani, R., & Boccardelli, P. (2025). Big data and innovation: The state of the art and future research directions. R&D Management, 56(1), 3–36. https://onlinelibrary.wiley.com/ai/10.1111/radm.70004

Cerchione, R. (2025). A comprehensive methodology for evaluating R&D projects on the valorisation of big data in the field open innovation according to the Frascati Manual. R&D Management, 55(5), 1671–1682. https://onlinelibrary.wiley.com/ai/10.1111/radm.12778

Chen, H. (2023). Enterprise marketing strategy using big data mining technology combined with XGBoost model in the new economic era. PLOS ONE, 18(6), e0285506. https://doi.org/10.1371/journal.pone.0285506

Coetzee, W., & Goede, R. (2025). Investigating the data science talent gap: Data practitioners' perspectives. SA Journal of Human Resource Management, 23, a2983. https://doi.org/10.4102/sajhrm.v23i0.2983

Dasari, S., Kaluri, R., & Li, Z. (2023). Big data analytics, processing models, taxonomy of tools, V's, and challenges: State of art review and future implications. Wireless Communications and Mobile Computing, 2023(1). https://onlinelibrary.wiley.com/ai/10.1155/2023/3976302

Duah, H. O., Boch, S., Arter, S., Nidey, N., & Lambert, J. (2024). A guide to understanding big data for the nurse scientist: A discursive paper. Nursing Inquiry, 31(3). https://onlinelibrary.wiley.com/ai/10.1111/nin.12648

Duc Dang Thi Viet, & Nguyen, L.-T. (2025). Unveiling the impact of big data and predictive analytics adoption on sustainable supply chain management: An employee-centric perspective. SAGE Open, 15(3), Artículo 21582440251363128. https://doi.org/10.1177/21582440251363128

Esheiba, L., Helal, I. M. A., Elgammal, A., & El-Sharkawi, M. E. (2022). A data warehouse-based system for service customization recommendations in product-service systems. Sensors, 22(6), 2118. https://doi.org/10.3390/s22062118

Ferrigno, G., Barabuffi, S., Marcazzan, E., & Piccaluga, A. (2024). What "V" of the big data influence SMEs' open innovation breadth and depth? An empirical analysis. R&D Management, 55(3), 795–816. https://onlinelibrary.wiley.com/ai/10.1111/radm.12727

França, T. J. F., São Mamede, H., Barroso, J. M. P., & Santos, V. M. P. D. (2023). Artificial intelligence applied to potential assessment and talent identification in an organisational context. Heliyon, 9(4), e14694. https://doi.org/10.1016/j.heliyon.2023.e14694

Ghorashi, S. R., Zia, T. A., Bewong, M., & Jiang, Y. (2023). An analytical review of industrial privacy frameworks and regulations for organisational data sharing. Applied Sciences, 13(23), 12727. https://doi.org/10.3390/app132312727

Gurcan, F., et al. (2025). Future-ready skills across big data ecosystems: Insights from machine learning-driven human resource analytics. Applied Sciences, 15(11), 5841. https://doi.org/10.3390/app15115841

Hakami, T. A., Alginahi, Y. M., & Sabri, O. (2025). Exploring the evolution of big data technologies: A systematic literature review of trends, challenges, and future directions. Future Internet, 17(9), 427. https://doi.org/10.3390/fi17090427

Han, F., & Ren, J. (2024). Analyzing big data professionals: Cultivating holistic skills through university education and market demands. IEEE Access, 12, 23568–23577. https://doi.org/10.1109/ACCESS.2024.3363876

Hasan, E. F., Alzuod, M. A., Al Jasimee, K. H., Alshdaifat, S. M., Hijazin, A. F., & Khrais, L. T. (2025). The role of organizational culture in digital transformation and modern accounting practices among Jordanian SMEs. Journal of Risk and Financial Management, 18(3), 147. https://doi.org/10.3390/jrfm18030147

Hossin, M. A., Du, J., Mu, L., & Asante, I. O. (2023). Big data-driven public policy decisions: Transformation toward smart governance. SAGE Open, 13(4). https://doi.org/10.1177/21582440231215123

Hu, C., Xu, Y., & Gao, P. (2025). Leveraging big data analytics capability for firm innovativeness: The role of sustained innovation and organizational slack. Systems, 13(9), 730. https://doi.org/10.3390/systems13090730

Hudson, K., & De Angelis, R. (2026). Realizing a regenerative future by revisiting our roots: A dialectical model of management for the circular economy. British Journal of Management. https://onlinelibrary.wiley.com/ai/10.1111/1467-8551.70086

Hussinki, H., Ritala, P., Vanhala, M., Kianto, A., & Mero, J. (2025). Effects of big data analytics on firm innovativeness: The role of a data driven culture. Knowledge and Process Management, 32(4), 161–173. https://onlinelibrary.wiley.com/ai/10.1002/kpm.70000

Huynh, M. T., Gunkel, M., & Veglio, V. (2025). Nurturing a data driven mindset for data driven transformation: A conceptualization and research framework. Strategic Change. https://onlinelibrary.wiley.com/ai/10.1002/jsc.2678

Jarašūnienė, A., Čižiūnienė, K., & Čereška, A. (2023). Research on impact of IoT on warehouse management. Sensors, 23(4), 2213. https://doi.org/10.3390/s23042213

Jenkison, N., Chiba, M. D., Mthombeni, M., & Verachia, A. H. (2024). Big data analytics effect on competitive performance: Mediating role of business model innovation. South African Journal of Business Management, 55(1), e1–e15. https://doi.org/10.4102/sajbm.v55i1.4261

Kardani Malekinezhad, M., Rahimnia, F., Eslami, G., & Farahi, M. M. (2025). Hot topics and directions of human resource analytics based on a hybrid method (Bibliometric analysis, fuzzy Delphi method and SWARA). International Journal of Information Science and Management, 23(1), 147–169. https://doi.org/10.22034/ijism.2024.2020158.1365

Karunaratne, T., Ajiero, I. R., Joseph, R., Farr, E., & Piroozfar, P. (2025). Evaluating the economic impact of digital twinning in the AEC industry: A systematic review. Buildings, 15(14), 2583. https://doi.org/10.3390/buildings15142583

Khalil, M. L., Abd Aziz, N., Long, F., & Zhang, H. (2023). What factors affect firm performance in the hotel industry post-Covid-19 pandemic? Examining the impacts of big data analytics capability, organizational agility and innovation. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100081. https://doi.org/10.1016/j.joitmc.2023.100081

Khan, S. N., Sultan, M. F., & Asif, M. (2022). Association of big data with sustainable competitive advantage in online retail segment: A serial mediation model for relating big data with strategic management tools. Reviews of Management Sciences, 4(1), 168–180. https://doi.org/10.53909/rms.04.01.0138

Khawaldeh, K., Awamleh, F. T., & Al-Momani, A. M. (2025). Data-driven strategic decisions: Leveraging business analytics and big data to improve decision-making insights in the international organizations. Journal of Project Management, 10(1), 61–70. https://doi.org/10.5267/j.jpm.2024.11.002

Kim, S., Khoreva, V., & Vaiman, V. (2024). Strategic human resource management in the era of algorithmic technologies: Key insights and future research agenda. Human Resource Management, 64(2), 447–464. https://onlinelibrary.wiley.com/ai/10.1002/hrm.22268

Konstas, K., Chountalas, P. T., Didaskalou, E. A., & Georgakellos, D. A. (2023). A pragmatic framework for data-driven decision-making process in the energy sector: Insights from a wind farm case study. Energies, 16(17), 6272. https://doi.org/10.3390/en16176272

Kulichyova, A., Kazantsev, N., White, L., & Islam, N. (2025). Digital transformation in large established organisations: Four restructuring dilemmas based on dynamic capabilities. International Journal of Management Reviews, 27(3), 420–450. https://onlinelibrary.wiley.com/ai/10.1111/ijmr.12395

Lee, I., & Mangalaraj, G. (2022). Big data analytics in supply chain management: A systematic literature review and research directions. Big Data and Cognitive Computing, 6(1), 17. https://doi.org/10.3390/bdcc6010017

Liu, Y., Qiao, H., Wang, J., & Jiang, Y. (2024). Influencing mechanism of the intellectual capability of big data analytics on the operational performance of enterprises. Heliyon, 10(3), e25032. https://doi.org/10.1016/j.heliyon.2024.e25032

Madanchian, M., & Taherdoost, H. (2025). Barriers and enablers of AI adoption in human resource management: A critical analysis of organizational and technological factors. Information, 16(1), 51. https://doi.org/10.3390/info16010051

Malik, S. (2024). Data-driven decision-making: Leveraging the IoT for real-time sustainability in organizational behavior. Sustainability, 16(15), 6302. https://doi.org/10.3390/su16156302

Martí-Rosselló, T., Duncan, A. J., & Bowditch, E. (2024). Seeing the data for the trees: Assessing the data maturity and readiness of a UK forestry company. Business Strategy and the Environment, 33(2), 149–161. https://doi.org/10.1002/bse.3483

Mkhize, A., Mokhothu, K. D., Tshikhotho, M., & Thango, B. A. (2025). Evaluating the impact of cloud computing on SME performance: A systematic review. Businesses, 5(2), 23. https://doi.org/10.3390/businesses5020023

Murire, O. T. (2024). Artificial intelligence and its role in shaping organizational work practices and culture. Administrative Sciences, 14(12), 316. https://doi.org/10.3390/admsci14120316

Mustafa, G., Rabbani, M. N., Nath, A., & Emon, M. M. H. (2023). Challenges and opportunities in the implementation of big data analytics in management information systems in Bangladesh. Acta Informatica Malaysia, 7(2), 122–130. https://doi.org/10.26480/aim.02.2023.122.130

Orjatsalo, J., Hussinki, H., & Kianto, A. (2026). The role of knowledge based resources in leveraging business analytics. Knowledge and Process Management, 33(2), 213–231. https://onlinelibrary.wiley.com/ai/10.1002/kpm.70015

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71

Panagiotopoulos, F. K., & Chatzis, V. (2025). A continuous monitoring and reallocation method for successful decisions in change management. Algorithms, 18(4), 184. https://doi.org/10.3390/a18040184

Papavasiliou, S., Gorod, A., & Reaiche, C. (2023). System of systems engineering governance framework for digital transformation: A case study of an Australian large government agency. Systems Engineering, 27(2), 267–283. https://onlinelibrary.wiley.com/ai/10.1002/sys.21719

Pina, E., Ramos, J., Jorge, H., Váz, P., Silva, J., Wanzeller, C., Abbasi, M., & Martins, P. (2024). Data privacy and ethical considerations in database management. Journal of Cybersecurity and Privacy, 4(3), 494–517. https://doi.org/10.3390/jcp4030024

Ragazou, K., Passas, I., Garefalakis, A., Galariotis, E., & Zopounidis, C. (2023). Big data analytics applications in information management driving operational efficiencies and decision-making: Mapping the field of knowledge with bibliometric analysis using R. Big Data and Cognitive Computing, 7(1), 13. https://doi.org/10.3390/bdcc7010013

Sahut, J., Fragnière, E., & Dang, R. (2024). The impact of big data on decision making, processes and organizational change: An essay of synthesis. Canadian Journal of Administrative Sciences, 41(4), 508–515. https://onlinelibrary.wiley.com/ai/10.1002/cjas.1770

Seyedzadeh, S., Christodoulou, V., Turner, A., & Lotfian, S. (2025). Optimising manufacturing efficiency: A data analytics solution for machine utilisation and production insights. Journal of Manufacturing and Materials Processing, 9(7), 210. https://doi.org/10.3390/jmmp9070210

Suh, Y. (2025). Discovering customer segments through interaction behaviors for home appliance business. Journal of Big Data, 12, Artículo 57. https://doi.org/10.1186/s40537-025-01111-y

Theodorakopoulos, L., & Theodoropoulou, A. (2024). Leveraging big data analytics for understanding consumer behavior in digital marketing: A systematic review. Human Behavior and Emerging Technologies, 2024(1), 3641502. https://doi.org/10.1155/2024/3641502

Theodorakopoulos, L., Theodoropoulou, A., & Bakalis, A. (2025). Big data in financial risk management: Evidence, advances, and open questions. A systematic review. Frontiers in Artificial Intelligence, 8, Artículo 1658375. https://doi.org/10.3389/frai.2025.1658375

Toa, C. K., Lew, K. L., Wong, Z. Y. J., Low, K. H., & Khoo, T. M. (2026). Big data analytics technologies and implementation challenges for smart infrastructure development in Malaysia: A narrative review. International Journal on Robotics, Automation and Sciences, 8(1), 65–75. https://doi.org/10.33093/ijoras.2026.8.1.7

Trinidad, J. E. (2025). Mapping organizational theory with SCRIPTS. Sociology Compass, 19(4). https://onlinelibrary.wiley.com/ai/10.1111/soc4.70059

Tsiu, S. V., Ngobeni, M., Mathabela, L., & Thango, B. A. (2025). Applications and competitive advantages of data mining and business intelligence in SMEs performance: A systematic review. Businesses, 5(2), 22. https://doi.org/10.3390/businesses5020022

Valdez Mendia, J. M., & Flores-Cuautle, J. J. A. (2022). Toward customer hyper-personalization experience — A data-driven approach. Cogent Business & Management, 9(1), 2041384. https://doi.org/10.1080/23311975.2022.2041384

Ward, B. (2023). Be data literate: The data literacy skills everyone needs to succeed by Jordan Morrow, Kogan Page, 2021, 215 pp. Personnel Psychology, 76(4), 1222–1225. https://onlinelibrary.wiley.com/ai/10.1111/peps.12616

Willetts, M., & Atkins, A. S. (2024a). Big data analytics maturity model for SMEs. International Journal of Information Technology and Computer Science, 16(2), 1–15. https://doi.org/10.5815/ijitcs.2024.02.01

Willetts, M., & Atkins, A. S. (2024b). Evaluation of a software positioning tool to support SMEs in adoption of big data analytics. Journal of Electronic Science and Technology, 22(1), 100229. https://doi.org/10.1016/j.jnlest.2023.100229

Yang, J., & Peng, B. (2026). Optimizing e-commerce marketing strategies in the digital economy: A big data approach enhanced by genetic algorithms. Humanities and Social Sciences Communications, 13, Artículo 691. https://doi.org/10.1057/s41599-026-06654-w

Zhao, Y. (2024). Development of big data assisted effective enterprise resource planning framework for smart human resource management. PLOS ONE, 19(5), e0303297. https://doi.org/10.1371/journal.pone.0303297