The Impact of Business Intelligence on Strategic Ambidexterity: The Mediating Role of Knowledge Sharing

This study investigates the mediating role of knowledge sharing in the relationship between business intelligence and strategic ambidexterity within Jordanian telecommunication companies. Utilizing a descriptive analytical approach, data were collected through an electronic questionnaire distributed to 350 managers, yielding 269 valid responses analysed via Structural Equation Modelling (SEM) with Smart PLS 4.1. The methodological rigor of employing SEM allows for a nuanced examination of the complex interplay among latent variables, which include business intelligence (with constructs such as Data Mining, Data Warehousing, OLAP, and Reporting) and strategic ambidexterity (focusing on Exploration and Exploitation).Findings reveal that all latent variables exhibit significant importance, with business intelligence positively impacting strategic ambidexterity, mediated by knowledge sharing. These results advocate enhanced knowledge sharing practices within organizations, enabling internal experts to leverage insights into external opportunities through well-structured business intelligence reports. Overall, this research contributes to the advancement of methodology in business and management by establishing a robust framework for analysing the mediating effects of knowledge sharing, while providing actionable insights for enhancing strategic decision-making in the telecommunications sector. Future studies may further explore the dynamics of these relationships across different industries, thereby enriching the field of business management research.

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Publication Details

Journal
The Electronic Journal of Business Research Methods
Published
2025-04-08
DOI
https://doi.org/10.34190/ejbrm.23.1.3719
Citations
4
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
9.14
Controls
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article

The Impact of Business Intelligence on Strategic Ambidexterity: The Mediating Role of Knowledge Sharing

Rakan Alsarayreh, Ola Buraik
4 citations
The Electronic Journal of Business Research Methods
Big Data and Business Intelligence
9.14
article

The Impact of Business Intelligence on Strategic Ambidexterity: The Mediating Role of Knowledge Sharing

Rakan Alsarayreh, Ola Buraik
article en
4 citations

Abstract

This study investigates the mediating role of knowledge sharing in the relationship between business intelligence and strategic ambidexterity within Jordanian telecommunication companies. Utilizing a descriptive analytical approach, data were collected through an electronic questionnaire distributed to 350 managers, yielding 269 valid responses analysed via Structural Equation Modelling (SEM) with Smart PLS 4.1. The methodological rigor of employing SEM allows for a nuanced examination of the complex interplay among latent variables, which include business intelligence (with constructs such as Data Mining, Data Warehousing, OLAP, and Reporting) and strategic ambidexterity (focusing on Exploration and Exploitation).Findings reveal that all latent variables exhibit significant importance, with business intelligence positively impacting strategic ambidexterity, mediated by knowledge sharing. These results advocate enhanced knowledge sharing practices within organizations, enabling internal experts to leverage insights into external opportunities through well-structured business intelligence reports. Overall, this research contributes to the advancement of methodology in business and management by establishing a robust framework for analysing the mediating effects of knowledge sharing, while providing actionable insights for enhancing strategic decision-making in the telecommunications sector. Future studies may further explore the dynamics of these relationships across different industries, thereby enriching the field of business management research.

The Electronic Journal of Business Research MethodsVol. 23(1)
University of Jordan (JO), Jordan Hospital (JO), Al-Balqa Applied University (JO)
Openalex Percentile: Top 3%
Big Data and Business Intelligence
9.14
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