Exploring MSME Owners’ Expectations of Data-Driven Approaches to Business Process Management

This study explores the adoption of data-driven approaches to business process management (BPM) by micro, small, and medium enterprises (MSMEs), which are crucial for economic growth and job creation but often face challenges in adopting advanced technologies. The research aims to understand the per...

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Main Authors: Gelmar García-Vidal, Alexander Sánchez-Rodríguez, Laritza Guzmán-Vilar, Rodobaldo Martínez-Vivar, Reyner Pérez-Campdesuñer
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Systems
Subjects:
Online Access:https://www.mdpi.com/2079-8954/13/4/265
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author Gelmar García-Vidal
Alexander Sánchez-Rodríguez
Laritza Guzmán-Vilar
Rodobaldo Martínez-Vivar
Reyner Pérez-Campdesuñer
author_facet Gelmar García-Vidal
Alexander Sánchez-Rodríguez
Laritza Guzmán-Vilar
Rodobaldo Martínez-Vivar
Reyner Pérez-Campdesuñer
author_sort Gelmar García-Vidal
collection DOAJ
description This study explores the adoption of data-driven approaches to business process management (BPM) by micro, small, and medium enterprises (MSMEs), which are crucial for economic growth and job creation but often face challenges in adopting advanced technologies. The research aims to understand the perceived benefits and persistent barriers that MSMEs encounter when implementing data-driven BPM. A critical review of academic literature was conducted, focusing on factors influencing adoption, perceived benefits, and existing challenges. Literature consistently highlights benefits such as process optimization, informed decision making, customer personalization, operational efficiency, adaptability, risk mitigation, automation, organizational culture transformation, innovation, and transparency. However, the review also identifies significant challenges, including technological and infrastructural limitations, resource constraints, training and skill gaps, organizational and cultural resistance, data management and quality issues, difficulties in implementation and change management, and analytical and technical complexities. These findings emphasize that, while data-driven BPM offers substantial opportunities for MSMEs to improve competitiveness and efficiency, successful adoption requires careful consideration of these multifaceted challenges and the development of tailored strategies to overcome them.
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spelling doaj-art-c00a056119454e9397b12be670d0eeb32025-08-20T02:25:12ZengMDPI AGSystems2079-89542025-04-0113426510.3390/systems13040265Exploring MSME Owners’ Expectations of Data-Driven Approaches to Business Process ManagementGelmar García-Vidal0Alexander Sánchez-Rodríguez1Laritza Guzmán-Vilar2Rodobaldo Martínez-Vivar3Reyner Pérez-Campdesuñer4Faculty of Law, Administrative and Social Sciences, Universidad UTE, Ave. Mariscal Sucre s/n and Ave, Mariana de Jesús. Bloque B, Quito 170512, EcuadorFaculty of Engineering Sciences and Industries, Universidad UTE, Ave. Mariscal Sucre s/n and Ave, Mariana de Jesús. Bloque B, Quito 170512, EcuadorIndependent Researcher, Quito 170512, EcuadorFaculty of Law, Administrative and Social Sciences, Universidad UTE, Ave. Mariscal Sucre s/n and Ave, Mariana de Jesús. Bloque B, Quito 170512, EcuadorFaculty of Law, Administrative and Social Sciences, Universidad UTE, Ave. Mariscal Sucre s/n and Ave, Mariana de Jesús. Bloque B, Quito 170512, EcuadorThis study explores the adoption of data-driven approaches to business process management (BPM) by micro, small, and medium enterprises (MSMEs), which are crucial for economic growth and job creation but often face challenges in adopting advanced technologies. The research aims to understand the perceived benefits and persistent barriers that MSMEs encounter when implementing data-driven BPM. A critical review of academic literature was conducted, focusing on factors influencing adoption, perceived benefits, and existing challenges. Literature consistently highlights benefits such as process optimization, informed decision making, customer personalization, operational efficiency, adaptability, risk mitigation, automation, organizational culture transformation, innovation, and transparency. However, the review also identifies significant challenges, including technological and infrastructural limitations, resource constraints, training and skill gaps, organizational and cultural resistance, data management and quality issues, difficulties in implementation and change management, and analytical and technical complexities. These findings emphasize that, while data-driven BPM offers substantial opportunities for MSMEs to improve competitiveness and efficiency, successful adoption requires careful consideration of these multifaceted challenges and the development of tailored strategies to overcome them.https://www.mdpi.com/2079-8954/13/4/265digital transformationmicro, small, and medium enterprises (MSMEs)data-driven BPMbenefits and challengescompetitiveness
spellingShingle Gelmar García-Vidal
Alexander Sánchez-Rodríguez
Laritza Guzmán-Vilar
Rodobaldo Martínez-Vivar
Reyner Pérez-Campdesuñer
Exploring MSME Owners’ Expectations of Data-Driven Approaches to Business Process Management
Systems
digital transformation
micro, small, and medium enterprises (MSMEs)
data-driven BPM
benefits and challenges
competitiveness
title Exploring MSME Owners’ Expectations of Data-Driven Approaches to Business Process Management
title_full Exploring MSME Owners’ Expectations of Data-Driven Approaches to Business Process Management
title_fullStr Exploring MSME Owners’ Expectations of Data-Driven Approaches to Business Process Management
title_full_unstemmed Exploring MSME Owners’ Expectations of Data-Driven Approaches to Business Process Management
title_short Exploring MSME Owners’ Expectations of Data-Driven Approaches to Business Process Management
title_sort exploring msme owners expectations of data driven approaches to business process management
topic digital transformation
micro, small, and medium enterprises (MSMEs)
data-driven BPM
benefits and challenges
competitiveness
url https://www.mdpi.com/2079-8954/13/4/265
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