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The Role of Managers in Big Data Analytics

Bailey, Oliver LU and Clavarino, Lorenzo LU (2023) MGTN59 20231
Department of Business Administration
Abstract
Insights from Big Data can become sources of competitive advantage and a foundation for
decision-making, leading to an extended use of such technologies in many firms’ departments.
Even if it is common practice to invest in BDA, oftentimes these techniques are not exploited
correctly, resulting in an unrewarded effort by companies (Dahiya, Le, Ring & Watson, 2022).
Research has contributed to exploring the positive business impacts that the implementation of
BDA brings (Raguseo & Vitari, 2018), however, the role of managers that are directly
responsible for the BDA-related operations and decision-making has been scarcely addressed.
With this research, we aim to understand the role of managers regarding BDA, and what they
perceive... (More)
Insights from Big Data can become sources of competitive advantage and a foundation for
decision-making, leading to an extended use of such technologies in many firms’ departments.
Even if it is common practice to invest in BDA, oftentimes these techniques are not exploited
correctly, resulting in an unrewarded effort by companies (Dahiya, Le, Ring & Watson, 2022).
Research has contributed to exploring the positive business impacts that the implementation of
BDA brings (Raguseo & Vitari, 2018), however, the role of managers that are directly
responsible for the BDA-related operations and decision-making has been scarcely addressed.
With this research, we aim to understand the role of managers regarding BDA, and what they
perceive as the value they contributed in terms of business performance. We have adopted a
qualitative analysis approach, alongside an inductive approach that has helped us understand
the managers’ perspectives in using BDA to improve firm performance. The findings that were
identified include key challenges that managers face using BDA, an interdependent relationship
between essential hard and soft skills for managers of BDA, support of a BDA Resource-Based
View framework, beneficial traits of managerial styles and positions in using BDA as well as
future trends in BDA adoption and the future integration of Artificial Intelligence (AI) in BDA
technologies. (Less)
Please use this url to cite or link to this publication:
author
Bailey, Oliver LU and Clavarino, Lorenzo LU
supervisor
organization
alternative title
How different skills and management styles contribute to improving firm performance using Big Data Analytics
course
MGTN59 20231
year
type
H1 - Master's Degree (One Year)
subject
keywords
Big Data Analytics, Managers, Firm Performance, Skills, Management Styles, Artificial Intelligence, Competitive Advantage
language
English
id
9131337
date added to LUP
2023-06-29 11:55:34
date last changed
2023-06-29 11:55:34
@misc{9131337,
  abstract     = {{Insights from Big Data can become sources of competitive advantage and a foundation for
decision-making, leading to an extended use of such technologies in many firms’ departments.
Even if it is common practice to invest in BDA, oftentimes these techniques are not exploited
correctly, resulting in an unrewarded effort by companies (Dahiya, Le, Ring & Watson, 2022).
Research has contributed to exploring the positive business impacts that the implementation of
BDA brings (Raguseo & Vitari, 2018), however, the role of managers that are directly
responsible for the BDA-related operations and decision-making has been scarcely addressed.
With this research, we aim to understand the role of managers regarding BDA, and what they
perceive as the value they contributed in terms of business performance. We have adopted a
qualitative analysis approach, alongside an inductive approach that has helped us understand
the managers’ perspectives in using BDA to improve firm performance. The findings that were
identified include key challenges that managers face using BDA, an interdependent relationship
between essential hard and soft skills for managers of BDA, support of a BDA Resource-Based
View framework, beneficial traits of managerial styles and positions in using BDA as well as
future trends in BDA adoption and the future integration of Artificial Intelligence (AI) in BDA
technologies.}},
  author       = {{Bailey, Oliver and Clavarino, Lorenzo}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{The Role of Managers in Big Data Analytics}},
  year         = {{2023}},
}