Impact of predictive analytics on management decision making

Main Article Content

Casanova-Villalba, César Iván
Herrera-Sánchez, Maybelline Jaqueline
Proaño-González, Esther Angélica

Abstract

In a business environment characterized by uncertainty and volatility, this study explores the role of predictive analytics as a strategic tool to improve the quality of managerial decisions. Through a systematic literature review of academic literature published between 2017 and 2024 in databases such as Scopus and Web of Science, trends, benefits and barriers related to its organizational adoption were identified. The findings show that predictive analytics can anticipate market trends, optimize financial planning, improve talent management and drive product innovation. However, its effectiveness depends on three key factors: a data-driven organizational culture, training in analytical skills, and the quality and availability of data. The study concludes that beyond a technological tool, predictive analytics represents a structural shift towards evidence-based management models, and its successful implementation requires a synergistic integration between technology, talent and organizational culture.

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Author Biographies

Casanova-Villalba, César Iván, Universidad Técnica Luis Vargas Torres de Esmeraldas

Ecuadorian nationality, professional in Accounting, Finance and Business Administration. Master in Business Administration with mention in quality and productivity management (Pontificia Universidad Católica del Ecuador, Quito). Engineer in Finance and Auditing CPA (Universidad Tecnológica Equinoccial). International Diploma in International Financial Reporting Standards (IFRS) (Universidad Metropolitana and the National Union of Accountants Associations of Ecuador). Specialization in Corporate Finance (Universidad Nacional Autónoma de México-UNAM). Accredited and Categorized Researcher by SENESCYT. Leader of the Group of Google Educators of Santo Domingo. Certification by competencies in Administrative Assistance with Office Automation and Training of Trainers. Professional career starts in the accounting area (2008-2009), Statistician at the Ministry of Public Health (2012-2013), in the financial area of the National Transit Agency (2014-2017), in the administrative area at the National Electricity Corporation EP (2017-2018), Hardware Administrator J&J (2019), Supervision and Control at the National Institute of Statistics and Census (2019). Professional experience in higher education, at the Instituto Técnico Superior Shalom in the city of Quito (2015-2018), Instituto Superior Tecnológico los Andes in Santo Domingo (2018-present), in the Faculty of Administrative and Economic Sciences of the Universidad Técnica Luís Vargas Torres de Esmeraldas Sede Santo Domingo de Los Tsáchilas (2020-present).

Herrera-Sánchez, Maybelline Jaqueline, Universidad Técnica Luis Vargas Torres de Esmeraldas

Ecuadorian nationality, professional in Accounting, Finance and Business Administration. His undergraduate academic training was conducted at the Universidad Tecnológica Equinoccial Santo Domingo and postgraduate was conducted at the Pontificia Universidad Católica del Ecuador, Quito. 
The work activity began in 2010 within the accounting and sales area, then began a career in public service in areas of ANT file, administrative IESS, accounting GAD Provincial de Santo Domingo, administrative - financial Cantonal Council for the Protection of Rights, adding an approximate professional experience of 9 years. In 2015 he began his professional activity in the area of higher education teaching part-time at the Instituto Superior Shalom in the city of Quito for a period of two years, in 2018 he began as a part-time teacher at the Instituto Technology and Finance and from 2019 to the present date in the career of Accounting at the Instituto Tecnológico Superior los Andes in the canton of Santo Domingo, and in 2020 to date he has been working as a full time professor at the Faculty of Administrative and Economic Sciences of the Universidad Técnica Luís Vargas Torres de Esmeraldas in Santo Domingo de Los Tsáchilas, totaling approximately 5 years in higher education. Accredited and categorized by SENESCYT as an assistant researcher 1 writer of several scientific articles and academic books that have been translated into the most important international languages, member of the Research Group in Applied Economics (GEA) of the University of the Armed Forces ESPE.

Proaño-González, Esther Angélica, Universidad Técnica Luis Vargas Torres de Esmeraldas

Master in Business Administration. Engineer in Accounting and Auditing. Teacher at the Technical University “Luis Vargas Torres” of Esmeralda.

How to Cite

Casanova-Villalba, C. I., Herrera-Sánchez, M. J., & Proaño-González, E. A. (2023). Impact of predictive analytics on management decision making. Scientific Journal Science and Method, 1(3), 16-30. https://doi.org/10.55813/gaea/rcym/v1/n3/17

References

Almenaba-Guerrero, Y. F., & Herrera-Sánchez, M. J. (2022). Diversidad e Inclusión en el Lugar de Trabajo: Prácticas en Ecuador Liderazgo y Cultura Organizacional. Revista Científica Zambos, 1(1), 69-85. https://doi.org/10.69484/rcz/v1/n1/22 DOI: https://doi.org/10.69484/rcz/v1/n1/22

Batini, C., Cappiello, C., Francalanci, C., & Maurino, A. (2009). Methodologies for data quality assessment and improvement. ACM Computing Surveys, 41(3), 1–52. https://doi.org/10.1145/1541880.1541883 DOI: https://doi.org/10.1145/1541880.1541883

Bhimani, A., & Willcocks, L. (2014). Digitisation, ‘Big Data’ and the transformation of accounting information. Accounting and Business Research, 44(4), 469–490. https://doi.org/10.1080/00014788.2014.910051 DOI: https://doi.org/10.1080/00014788.2014.910051

Bravo-Bravo, I. F., & Herrera-Sánchez, M. J. (2023). Tendencias Globales del Liderazgo Transformacional en Empresas Modernas. Horizon Nexus Journal, 1(2), 14-31. https://doi.org/10.70881/hnj/v1/n2/15 DOI: https://doi.org/10.70881/hnj/v1/n2/15

Caicedo-Basurto, R. L., & Casanova-Villalba, C. I. (2023). Impacto de las Normas Internacionales de Información Financiera (NIIF) en la Comparabilidad de los Estados Financieros a través de la Literatura Reciente. Horizon Nexus Journal, 1(2), 32-47. https://doi.org/10.70881/hnj/v1/n2/16 DOI: https://doi.org/10.70881/hnj/v1/n2/16

Casanova-Villalba, C. I., & Hurtado-Guevara, R. F. (2023). Auditoría fiscal y evasión tributaria mediante un enfoque sustentado en evidencia empírica reciente. Multidisciplinary Collaborative Journal, 1(1), 39-51. https://doi.org/10.70881/mcj/v1/n1/10 DOI: https://doi.org/10.70881/mcj/v1/n1/10

Choi, J. H., Hecht, G., & Tayler, W. B. (2020). Strategic value of predictive analytics in accounting and finance. Accounting, Organizations and Society, 82, 101104.

Davenport, T. H., & Bean, R. (2018). Big Companies Are Embracing Analytics, But Most Still Don’t Have a Data-Driven Culture. Harvard Business Review.

George, G., Osinga, E. C., Lavie, D., & Scott, B. A. (2016). Big Data and data science methods for management research. Academy of Management Journal, 59(5), 1493–1507. https://doi.org/10.5465/amj.2016.4005 DOI: https://doi.org/10.5465/amj.2016.4005

Ghasemaghaei, M. (2019). Does data analytics use improve firm decision making quality? The role of knowledge sharing and data analytics competency. Decision Support Systems, 120, 14–24. https://doi.org/10.1016/j.dss.2019.03.004 DOI: https://doi.org/10.1016/j.dss.2019.03.004

Kiron, D., Prentice, P. K., & Ferguson, R. B. (2014). The analytics mandate. MIT Sloan Management Review, 55(4), 1–25.

Kwon, O., Lee, N., & Shin, B. (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management, 34(3), 387–394. https://doi.org/10.1016/j.ijinfomgt.2014.02.002 DOI: https://doi.org/10.1016/j.ijinfomgt.2014.02.002

Margherita, A. (2022). Human resources analytics: A systematization of research topics and directions for future research. Human Resource Management Review, 31(2), 100756. https://doi.org/10.1016/j.hrmr.2020.100795 DOI: https://doi.org/10.1016/j.hrmr.2020.100795

Mikalef, P., Krogstie, J., Pappas, I. O., & Giannakos, M. (2018). Investigating the effects of Big Data analytics capabilities on firm performance: The mediating role of dynamic capabilities. Information & Management, 55(8), 103187.

Mikalef, P., Pappas, I.O., Krogstie, J. & Giannakos, M. (2018). Big data analytics capabilities: a systematic literature review and research agenda. Inf Syst E-Bus Manage 16, 547–578. https://doi.org/10.1007/s10257-017-0362-y DOI: https://doi.org/10.1007/s10257-017-0362-y

Pezeshkan, A., Smith, A. D., Fainshmidt, S., & Murovec, N. (2020). Strategic foresight, innovation, and firm performance: An integrative framework. Journal of Business Research, 117, 1–15.

Ransbotham, S., Candelon, F., Kiron, D., LaFountain, B., & Khodabandeh, S. (2021). The Cultural Benefits of Artificial Intelligence in the Enterprise. MIT Sloan Management

Sadiq, S., Ormandjieva, O., & Gasevic, D. (2015). Data quality challenges and strategies in big data analytics. In Proceedings of the International Conference on Big Data and Smart Computing (pp. 199–206). IEEE.

Santander-Salmon, E. S., Herrera-Sánchez, M. J., & Bravo-Bravo, I. F. (2023). La importancia de la digitalización en la administración empresarial mediante un análisis bibliográfico actualizado. Multidisciplinary Collaborative Journal, 1(2), 39-51. https://doi.org/10.70881/mcj/v1/n2/15 DOI: https://doi.org/10.70881/mcj/v1/n2/15

Sharma, R., Mithas, S., & Kankanhalli, A. (2017). Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations. European Journal of Information Systems, 23(4), 433–441. https://doi.org/10.1057/ejis.2014.17 DOI: https://doi.org/10.1057/ejis.2014.17

Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of Business Research, 70, 263–286. https://doi.org/10.1016/j.jbusres.2016.08.001 DOI: https://doi.org/10.1016/j.jbusres.2016.08.001

Van den Heuvel, S., & Bondarouk, T. (2017). The rise (and fall?) of HR analytics: A study into the future application, value, structure, and system support. Journal of Organizational Effectiveness: People and Performance, 4(2), 157–178. https://doi.org/10.1108/JOEPP-03-2017-0022 DOI: https://doi.org/10.1108/JOEPP-03-2017-0022

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. https://doi.org/10.1016/j.ijpe.2014.12.031 DOI: https://doi.org/10.1016/j.ijpe.2014.12.031