Factors affecting Mobile Business Intelligence readiness in the South African telecom sector

Background: The rapid adoption and accelerated integration of mobile technology into organisational processes have significantly transformed the landscape of data collection and analysis, establishing Mobile Business Intelligence (MBI) as a critical enabler of real time, data-driven decision-making. Mobile Business Intelligence has emerged as a pivotal tool for enhancing the speed and accuracy of strategic business decisions. Objectives: The study investigated and established factors affecting MBI readiness within the South African telecommunications sector. Method: Quantitative research methodology and probability sampling were used to select participants, and closed-ended questionnaires were used. One hundred and twenty-eight responses were received and tested. The factors affecting MBI readiness were validated using quantitative analysis. Results: Fourteen factors affecting MBI readiness were identified, namely: organisational culture, organisational capability, policies and people, infrastructure, security, skills, training, enterprise mobility support, need for change, inhibitors, motivators, and change enablers. Conclusion: The findings of this study may encourage success in leveraging mobility and developing better strategies and approaches for MBI adoption, enabling organisations to realise expected benefits, make well-informed decisions and conserve costs, time and resources. These organisations could achieve a higher success rate with MBI investments. Contribution: This study contributed methodologically, theoretically and practically by identifying critical success factors affecting MBI readiness. Methodologically, the identified factors inform the MBI readiness model and provide guidelines for the successful implementation of MBI solutions.

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Publication Details

Journal
South African journal of information management
Published
2026-02-23
DOI
https://doi.org/10.4102/sajim.v28i1.2097
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Factors affecting Mobile Business Intelligence readiness in the South African telecom sector

Sunday O. Ojo, Tendani Lavhengwa, Nkqubela Ruxwana, Marothi P. Lemekwane
South African journal of information management
Big Data and Business Intelligence
article

Factors affecting Mobile Business Intelligence readiness in the South African telecom sector

Sunday O. Ojo, Tendani Lavhengwa, Nkqubela Ruxwana, Marothi P. Lemekwane
article en

Abstract

Background: The rapid adoption and accelerated integration of mobile technology into organisational processes have significantly transformed the landscape of data collection and analysis, establishing Mobile Business Intelligence (MBI) as a critical enabler of real time, data-driven decision-making. Mobile Business Intelligence has emerged as a pivotal tool for enhancing the speed and accuracy of strategic business decisions. Objectives: The study investigated and established factors affecting MBI readiness within the South African telecommunications sector. Method: Quantitative research methodology and probability sampling were used to select participants, and closed-ended questionnaires were used. One hundred and twenty-eight responses were received and tested. The factors affecting MBI readiness were validated using quantitative analysis. Results: Fourteen factors affecting MBI readiness were identified, namely: organisational culture, organisational capability, policies and people, infrastructure, security, skills, training, enterprise mobility support, need for change, inhibitors, motivators, and change enablers. Conclusion: The findings of this study may encourage success in leveraging mobility and developing better strategies and approaches for MBI adoption, enabling organisations to realise expected benefits, make well-informed decisions and conserve costs, time and resources. These organisations could achieve a higher success rate with MBI investments. Contribution: This study contributed methodologically, theoretically and practically by identifying critical success factors affecting MBI readiness. Methodologically, the identified factors inform the MBI readiness model and provide guidelines for the successful implementation of MBI solutions.

South African journal of information managementVol. 28(1)
Tshwane University of Technology (ZA), Durban University of Technology (ZA), University of Wollongong in Dubai (AE)
Industry, innovation and infrastructure
Openalex Percentile: Top 53%
Big Data and Business Intelligence
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