A Robust Statistical Methodology for Measuring Enterprise Agility

In an era characterized by rapid technological advancements, economic fluctuations, and global competition, adaptability and resilience have become critical success factors for businesses navigating uncertainty and complexity. This article explores the role of enterprise agility in today’s business...

Full description

Bibliographic Details
Published in:Applied Sciences
Main Authors: Roberto Moraga-Díaz, Andrés Leiva-Araos, José García
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/14/8445
_version_ 1850472898233368576
author Roberto Moraga-Díaz
Andrés Leiva-Araos
José García
author_facet Roberto Moraga-Díaz
Andrés Leiva-Araos
José García
author_sort Roberto Moraga-Díaz
collection DOAJ
container_title Applied Sciences
description In an era characterized by rapid technological advancements, economic fluctuations, and global competition, adaptability and resilience have become critical success factors for businesses navigating uncertainty and complexity. This article explores the role of enterprise agility in today’s business landscape at Latam branch of Tata Consultancy Services, where organizations face complex and diverse operations. We aim to examine how companies can become more agile in the face of emerging challenges and seize opportunities swiftly to drive growth and deliver value. Since 2014, the division has embarked on an agile transformation journey to drive growth, deliver value, foster innovation, and build resilience in an increasingly dynamic environment. We scrutinize an approach to measuring and enhancing enterprise agility, employing statistical analysis and continuous improvement methodologies to tackle real-world challenges while offering valuable insights and recommendations for organizations aiming to implement similar systems. The results of an agile transformation in a certain company’s Latam branch serve as a compelling case study, demonstrating how the implementation of targeted measures and continuous improvement can significantly bolster enterprise agility. Methodologically, our work applies a novel sequence of parametric statistical tests which, to the best of our knowledge, have not been used in the industry to validate the results of business agility metrics. In future work, we aim to create a new workflow considering non-parametric tests to address data with other statistical distributions. We conclude our work by proposing a sequence of steps for organizations to implement business agility metrics.
format Article
id doaj-art-31b3a1a89b074dc89bb826a087ef5708
institution Directory of Open Access Journals
issn 2076-3417
language English
publishDate 2023-07-01
publisher MDPI AG
record_format Article
spelling doaj-art-31b3a1a89b074dc89bb826a087ef57082025-08-19T22:40:31ZengMDPI AGApplied Sciences2076-34172023-07-011314844510.3390/app13148445A Robust Statistical Methodology for Measuring Enterprise AgilityRoberto Moraga-Díaz0Andrés Leiva-Araos1José García2Tata Consultancy Services Limited—TCS Latam, Santiago 8330088, ChileFacultad de Ingeniería, Centro de Transformación Digital, Universidad del Desarrollo, Santiago 7610658, ChileEscuela de Ingeniería de Construcción y Transporte, Pontificia Universidad Católica de Valparaíso, Valparaíso 2362804, ChileIn an era characterized by rapid technological advancements, economic fluctuations, and global competition, adaptability and resilience have become critical success factors for businesses navigating uncertainty and complexity. This article explores the role of enterprise agility in today’s business landscape at Latam branch of Tata Consultancy Services, where organizations face complex and diverse operations. We aim to examine how companies can become more agile in the face of emerging challenges and seize opportunities swiftly to drive growth and deliver value. Since 2014, the division has embarked on an agile transformation journey to drive growth, deliver value, foster innovation, and build resilience in an increasingly dynamic environment. We scrutinize an approach to measuring and enhancing enterprise agility, employing statistical analysis and continuous improvement methodologies to tackle real-world challenges while offering valuable insights and recommendations for organizations aiming to implement similar systems. The results of an agile transformation in a certain company’s Latam branch serve as a compelling case study, demonstrating how the implementation of targeted measures and continuous improvement can significantly bolster enterprise agility. Methodologically, our work applies a novel sequence of parametric statistical tests which, to the best of our knowledge, have not been used in the industry to validate the results of business agility metrics. In future work, we aim to create a new workflow considering non-parametric tests to address data with other statistical distributions. We conclude our work by proposing a sequence of steps for organizations to implement business agility metrics.https://www.mdpi.com/2076-3417/13/14/8445business agilityenterprise agilityorganizational transformationdata analyticsstatisticsmetrics
spellingShingle Roberto Moraga-Díaz
Andrés Leiva-Araos
José García
A Robust Statistical Methodology for Measuring Enterprise Agility
business agility
enterprise agility
organizational transformation
data analytics
statistics
metrics
title A Robust Statistical Methodology for Measuring Enterprise Agility
title_full A Robust Statistical Methodology for Measuring Enterprise Agility
title_fullStr A Robust Statistical Methodology for Measuring Enterprise Agility
title_full_unstemmed A Robust Statistical Methodology for Measuring Enterprise Agility
title_short A Robust Statistical Methodology for Measuring Enterprise Agility
title_sort robust statistical methodology for measuring enterprise agility
topic business agility
enterprise agility
organizational transformation
data analytics
statistics
metrics
url https://www.mdpi.com/2076-3417/13/14/8445
work_keys_str_mv AT robertomoragadiaz arobuststatisticalmethodologyformeasuringenterpriseagility
AT andresleivaaraos arobuststatisticalmethodologyformeasuringenterpriseagility
AT josegarcia arobuststatisticalmethodologyformeasuringenterpriseagility
AT robertomoragadiaz robuststatisticalmethodologyformeasuringenterpriseagility
AT andresleivaaraos robuststatisticalmethodologyformeasuringenterpriseagility
AT josegarcia robuststatisticalmethodologyformeasuringenterpriseagility