The impact of real-time business intelligence and advanced analytics on the behaviour of business decision makers

Dursun Delen, Gregory Moscato, Inga Linda Toma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Although, there are many tools to support leaders, organizational decision-making processes are still susceptible to errors and biases. Business analytics (BA) is one of the approaches to support managers in making well-informed/evidence-based business decisions. Despite huge investments, BA projects continue to fail. From one side research papers show that managers require information in their decision making process, whereas from another side there are studies presenting that business decisions are often made based on gut feelings and intuitions ignoring part or all of the available data/information. Using experiments authors of this research investigate whether information delivery in the time when the business decision is being made influences or changes the decision maker's mind, and thereby, leads to a different decision outcome. The research contributes to descriptive and prescriptive decision theory and adds to existing literature in the field of BA. The research also, provides insights into selective perception and decision maker's behavior when warnings about decision consequences are given. Based on the obtained research results, this study presents recommendations on how BA solutions can potentially be improved.

Original languageEnglish
Title of host publication2018 International Conference on Information Management and Processing, ICIMP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages49-53
Number of pages5
ISBN (Electronic)9781538636558
DOIs
StatePublished - 26 Mar 2018
Externally publishedYes
Event2018 International Conference on Information Management and Processing, ICIMP 2018 - London, United Kingdom
Duration: 12 Jan 201814 Jan 2018

Publication series

Name2018 International Conference on Information Management and Processing, ICIMP 2018
Volume2018-January

Conference

Conference2018 International Conference on Information Management and Processing, ICIMP 2018
CountryUnited Kingdom
CityLondon
Period12/01/1814/01/18

Fingerprint

Competitive intelligence
decision maker
Industry
selective perception
manager
decision theory
Managers
decision making process
Decision making
intuition
research results
decision-making process
Decision theory
time
Business intelligence
Decision maker
leader
experiment
trend
evidence

Keywords

  • Advanced analytics
  • Business intelligence
  • Decision making

Cite this

Delen, D., Moscato, G., & Toma, I. L. (2018). The impact of real-time business intelligence and advanced analytics on the behaviour of business decision makers. In 2018 International Conference on Information Management and Processing, ICIMP 2018 (pp. 49-53). [8325840] (2018 International Conference on Information Management and Processing, ICIMP 2018; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIMP1.2018.8325840
Delen, Dursun ; Moscato, Gregory ; Toma, Inga Linda. / The impact of real-time business intelligence and advanced analytics on the behaviour of business decision makers. 2018 International Conference on Information Management and Processing, ICIMP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 49-53 (2018 International Conference on Information Management and Processing, ICIMP 2018).
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abstract = "Although, there are many tools to support leaders, organizational decision-making processes are still susceptible to errors and biases. Business analytics (BA) is one of the approaches to support managers in making well-informed/evidence-based business decisions. Despite huge investments, BA projects continue to fail. From one side research papers show that managers require information in their decision making process, whereas from another side there are studies presenting that business decisions are often made based on gut feelings and intuitions ignoring part or all of the available data/information. Using experiments authors of this research investigate whether information delivery in the time when the business decision is being made influences or changes the decision maker's mind, and thereby, leads to a different decision outcome. The research contributes to descriptive and prescriptive decision theory and adds to existing literature in the field of BA. The research also, provides insights into selective perception and decision maker's behavior when warnings about decision consequences are given. Based on the obtained research results, this study presents recommendations on how BA solutions can potentially be improved.",
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Delen, D, Moscato, G & Toma, IL 2018, The impact of real-time business intelligence and advanced analytics on the behaviour of business decision makers. in 2018 International Conference on Information Management and Processing, ICIMP 2018., 8325840, 2018 International Conference on Information Management and Processing, ICIMP 2018, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 49-53, 2018 International Conference on Information Management and Processing, ICIMP 2018, London, United Kingdom, 12/01/18. https://doi.org/10.1109/ICIMP1.2018.8325840

The impact of real-time business intelligence and advanced analytics on the behaviour of business decision makers. / Delen, Dursun; Moscato, Gregory; Toma, Inga Linda.

2018 International Conference on Information Management and Processing, ICIMP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 49-53 8325840 (2018 International Conference on Information Management and Processing, ICIMP 2018; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Delen D, Moscato G, Toma IL. The impact of real-time business intelligence and advanced analytics on the behaviour of business decision makers. In 2018 International Conference on Information Management and Processing, ICIMP 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 49-53. 8325840. (2018 International Conference on Information Management and Processing, ICIMP 2018). https://doi.org/10.1109/ICIMP1.2018.8325840