How to turn managers into data-driven decision makers: Measuring attitudes towards business analytics. Issue 3 (17th July 2018)
- Record Type:
- Journal Article
- Title:
- How to turn managers into data-driven decision makers: Measuring attitudes towards business analytics. Issue 3 (17th July 2018)
- Main Title:
- How to turn managers into data-driven decision makers
- Authors:
- Carillo, Kevin Daniel André
Galy, Nadine
Guthrie, Cameron
Vanhems, Anne - Abstract:
- Abstract : Purpose: The purpose of this paper is to emphasize the need to engender a positive attitude toward business analytics in order for firms to more effectively transform into data-driven businesses, and for business schools to better prepare future managers. Design/methodology/approach: This paper develops and validates a measurement instrument that captures the attitude toward business statistics, the foundation of business analytics. A multi-stage approach is implemented and the validation is conducted with a sample of 311 students from a business school. Findings: The instrument has strong psychometric properties. It is designed so that it can be easily extrapolated to professional contexts and extended to the entire domain of business analytics. Research limitations/implications: As the advent of a data-driven business world will impact the way organizations function and the way individuals think, work, communicate and interact, it is crucial to engage a transdisciplinary dialogue among domains that have the expertise to help train and transform current and future professionals. Practical implications: The contribution provides educators and organizations with a means to measure and monitor attitudes toward statistics, the most anxiogenic component of business analytics. This is a first step in monitoring and developing an analytics mindset in both managers and students. Originality/value: By demonstrating how the advent of the data-driven business era isAbstract : Purpose: The purpose of this paper is to emphasize the need to engender a positive attitude toward business analytics in order for firms to more effectively transform into data-driven businesses, and for business schools to better prepare future managers. Design/methodology/approach: This paper develops and validates a measurement instrument that captures the attitude toward business statistics, the foundation of business analytics. A multi-stage approach is implemented and the validation is conducted with a sample of 311 students from a business school. Findings: The instrument has strong psychometric properties. It is designed so that it can be easily extrapolated to professional contexts and extended to the entire domain of business analytics. Research limitations/implications: As the advent of a data-driven business world will impact the way organizations function and the way individuals think, work, communicate and interact, it is crucial to engage a transdisciplinary dialogue among domains that have the expertise to help train and transform current and future professionals. Practical implications: The contribution provides educators and organizations with a means to measure and monitor attitudes toward statistics, the most anxiogenic component of business analytics. This is a first step in monitoring and developing an analytics mindset in both managers and students. Originality/value: By demonstrating how the advent of the data-driven business era is transforming the DNA and functioning of organizations, this paper highlights the key importance of changing managers' and all employees' (to a lesser extent) mindset and way of thinking. … (more)
- Is Part Of:
- Business process management journal. Volume 25:Issue 3(2019)
- Journal:
- Business process management journal
- Issue:
- Volume 25:Issue 3(2019)
- Issue Display:
- Volume 25, Issue 3 (2019)
- Year:
- 2019
- Volume:
- 25
- Issue:
- 3
- Issue Sort Value:
- 2019-0025-0003-0000
- Page Start:
- 553
- Page End:
- 578
- Publication Date:
- 2018-07-17
- Subjects:
- Business analytics -- Employee attitudes
Industrial management -- Periodicals
Reengineering (Management) -- Periodicals
Total quality management -- Periodicals
658.4063 - Journal URLs:
- http://www.emeraldinsight.com/1463-1355 ↗
http://www.emeraldinsight.com/journals.htm?issn=1463-7154 ↗
http://firstsearch.oclc.org ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/BPMJ-11-2017-0331 ↗
- Languages:
- English
- ISSNs:
- 1463-7154
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2934.636500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22094.xml