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As the development of new information and communication technologies drives the generation of vast amounts of data, companies are increasingly interested in investing in tools that enable them to leverage it. However, investment alone will not provide a competitive advantage. Instead, companies need to build capabilities to manage the big data volumes that their competitors are struggling to keep up with. In this sense, big data analytics capabilities are a fundamental resource that can drive business innovation from which an organization can benefit. In a study of 91 small and medium-sized enterprises (SMEs) in Bogotá, various descriptive and correlative analyzes were conducted, using multiple OLS regressions according to a research model proposed to estimate the impact of the variables “big data analytic capabilities” and “organizational innovation performance”. It was found that organizations that have higher levels of big data capabilities at the level of data, technologies, technical skills, and data culture have higher innovation performance. The research shows that resources dedicated to big data capabilities give companies tools to drive innovation development and enter new markets.

Omar Alexánder León García, Compensar Fundación Universitaria. Bogotá, Colombia.

https://orcid.org/0000-0001-5554-8215

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León García OA. Impact of big data analytics capabilities on business innovation. inycomp [Internet]. 2023 May 5 [cited 2024 Nov. 22];25(2):e-21012611. Available from: https://revistaingenieria.univalle.edu.co/index.php/ingenieria_y_competitividad/article/view/12611

Stone M, Aravopoulou E, Gerardi G, Todeva E, Weinzierl L, Laughlin P, et al. How platforms are transforming customer information management. The Bottom Line. 2017;30(3).

Jin X, Wah BW, Cheng X, Wang Y. Significance and challenges of big data research. Big data research. 2015;2(2):59-64.

Sun EW, Chen Y-T, Yu M-T. Generalized optimal wavelet decomposing algorithm for big financial data. International Journal of Production Economics. 2015;165:194-214.

Wright LT, Robin R, Stone M, Aravopoulou E. Adoption of Big Data Technology for Innovation in B2B Marketing. Journal of Business-to-Business Marketing. 2019;26(3-4):281-93.

Akter S, Wamba SF, Gunasekaran A, Dubey R, Childe SJ. How to improve firm performance using big data analytics capability and business strategy alignment? International Journal of Production Economics. 2016;182:113-31.

Sheng J, Amankwah-Amoah J, Wang XJ. A multidisciplinary perspective of big data in management research. International Journal of Production Economics. 2017;191:97-112.

Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C, et al. Big data: The next frontier for innovation, competition, and productivity. USA: McKinsey Global Institute; 2011.

Kwon O, Lee N, Shin B. Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management. 2014;34(3):387-94.

Ozdemir V, Hekim N. Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, "The Internet of Things" and Next-Generation Technology Policy. Omics-a Journal of Integrative Biology. 2018;22(1):65-76.

Mishra D, Gunasekaran A, Papadopoulos T, Childe SJ. Big Data and supply chain management: a review and bibliometric analysis. Annals of Operations Research. 2018;270(1):313-36.

Gandomi A, Haider M. Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management. 2015;35(2):137-44.

Aydiner AS, Tatoglu E, Bayraktar E, Zaim S, Delen D. Business analytics and firm performance: The mediating role of business process performance. Journal of Business Research. 2019;96:228-37.

Gupta M, George JF. Toward the development of a big data analytics capability. Information & Management. 2016;53(8):1049-64.

McAfee A, Brynjolfsson E, Davenport TH, Patil D, Barton D. Big data: the management revolution. Harvard Business Review. 2012;90(10):60-8.

Mikalef P, Boura M, Lekakos G, Krogstie J. Big data analytics capabilities and innovation: the mediating role of dynamic capabilities and moderating effect of the environment. British Journal of Management. 2019;30(2):272-98.

Ghasemaghaei M, Calic G. Assessing the impact of big data on firm innovation performance: Big data is not always better data. Journal of Business Research. 2020;108:147-62.

Russom P. Big data analytics. 2011 Contract No.: 4.

Kubina M, Varmus M, Kubinova I. Use of big data for competitive advantage of company. Procedia Economics and Finance. 2015;26:561-5.

Ziora ACL. The role of big data solutions in the management of organizations. Review of selected practical examples. Procedia Computer Science. 2015;65:1006-12.

Aslam F, Aimin W, Li M, Ur Rehman K. Innovation in the era of IoT and industry 5.0: Absolute innovation management (AIM) framework. Information. 2020;11(2):124.

Scuotto V, Santoro G, Bresciani S, Del Giudice M. Shifting intra‐and inter‐organizational innovation processes towards digital business: an empirical analysis of SMEs. Creativity and Innovation Management. 2017;26(3):247-55.

Ndou V, Beqiri M. Introduction for the special Issue on BIG DATA. Electronic Journal of Applied Statistical Analysis: Decision Support Systems and Services Evaluation. 2014;5(1):1-3.

Del Vecchio P, Mele G, Ndou V, Secundo G. Open Innovation and Social Big Data for Sustainability: Evidence from the Tourism Industry. Sustainability. 2018;10(9).

Chesbrough H. Open business models: How to thrive in the new innovation landscape. 1st edition ed: Harvard Business Press; 2006.

Kim G-H, Trimi S, Chung J-H. Big-data applications in the government sector. Communications of the ACM. 2014;57(3):78-85.

Wamba SF, Gunasekaran A, Akter S, Ren SJ-f, Dubey R, Childe SJ. Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research. 2017;70:356-65.

Vassakis K, Petrakis E, Kopanakis I. Big data analytics: applications, prospects and challenges. Mobile big data. 2018;10:3-20.

Mushtaq N, Akhter Y, Nadeem H. An Exploratory Empirical Investigation on the Intervening Role of TQM & Big Data Analytics between Industry 4.0 and Firms Innovation Performance. Journal of Development and Social Sciences. 2022;3(2):685-99.

Gianniti E, Ciavotta M, Ardagna D. Optimizing Quality-Aware Big Data Applications in the Cloud. Ieee Transactions on Cloud Computing. 2021;9(2):737-52.

Ciampi F, Demi S, Magrini A, Marzi G, Papa A. Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation. Journal of Business Research. 2021;123:1-13.

Hernández SR, Fernández CC, Baptista LP. Metodología de la investigación, 2010.

Hair JR JF, C BW, J BB, E AR. Multivariate Data Analysis. Edition S, editor: Englewood Cliffs, NJ: Prentice Hall.; 2010.

Shah S, Horne A, Capellá J. Good data won’t guarantee good decisions. Harvard Business Review. 2012;90(4):23-5.

Roden S, Nucciarelli A, Li F, Graham G. Big data and the transformation of operations models: a framework and a new research agenda. Production Planning & Control. 2017;28(11-12):929-44.