Prioritizing factors influencing global network readiness index with bayesian belief networks
The rapid evolution of digital transformation necessitates a comprehensive understanding of national digital readiness. The Network Readiness Index (NRI) serves as a key benchmark for assessing a country's preparedness to leverage digital technologies for economic and societal development. This...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Journal of Open Innovation: Technology, Market and Complexity |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2199853125000575 |
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| author | Abroon Qazi |
| author_facet | Abroon Qazi |
| author_sort | Abroon Qazi |
| collection | DOAJ |
| description | The rapid evolution of digital transformation necessitates a comprehensive understanding of national digital readiness. The Network Readiness Index (NRI) serves as a key benchmark for assessing a country's preparedness to leverage digital technologies for economic and societal development. This study uses Bayesian Belief Network (BBN) models to systematically analyze and prioritize the factors influencing the NRI, using data from 134 countries in 2023. Unlike existing studies that primarily adopt conventional techniques, assuming the NRI drivers as independent, this research provides a probabilistic assessment of the interdependencies between the four NRI pillars—technology, people, governance, and impact—and their respective sub-pillars. The findings indicate that 'technology', 'impact', and 'people' are the most influential pillars in shaping digital readiness outcomes, with 'businesses' and 'trust' emerging as critical sub-pillars. The study enhances the existing literature by introducing a predictive framework that informs policymakers and industry leaders on the key levers for improving national digital competitiveness. By offering a network approach to prioritizing digital readiness factors, this research contributes to more effective policy design, strategic investments, and sustainable digital transformation efforts. |
| format | Article |
| id | doaj-art-1ecf5129576e4c2f93dacea3c5e82ebd |
| institution | DOAJ |
| issn | 2199-8531 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Open Innovation: Technology, Market and Complexity |
| spelling | doaj-art-1ecf5129576e4c2f93dacea3c5e82ebd2025-08-20T03:17:57ZengElsevierJournal of Open Innovation: Technology, Market and Complexity2199-85312025-06-0111210052210.1016/j.joitmc.2025.100522Prioritizing factors influencing global network readiness index with bayesian belief networksAbroon Qazi0School of Business Administration, American University of Sharjah, Sharjah, United Arab EmiratesThe rapid evolution of digital transformation necessitates a comprehensive understanding of national digital readiness. The Network Readiness Index (NRI) serves as a key benchmark for assessing a country's preparedness to leverage digital technologies for economic and societal development. This study uses Bayesian Belief Network (BBN) models to systematically analyze and prioritize the factors influencing the NRI, using data from 134 countries in 2023. Unlike existing studies that primarily adopt conventional techniques, assuming the NRI drivers as independent, this research provides a probabilistic assessment of the interdependencies between the four NRI pillars—technology, people, governance, and impact—and their respective sub-pillars. The findings indicate that 'technology', 'impact', and 'people' are the most influential pillars in shaping digital readiness outcomes, with 'businesses' and 'trust' emerging as critical sub-pillars. The study enhances the existing literature by introducing a predictive framework that informs policymakers and industry leaders on the key levers for improving national digital competitiveness. By offering a network approach to prioritizing digital readiness factors, this research contributes to more effective policy design, strategic investments, and sustainable digital transformation efforts.http://www.sciencedirect.com/science/article/pii/S2199853125000575Bayesian belief networkDigital readinessNetwork readiness indexTrustPredictive analysis |
| spellingShingle | Abroon Qazi Prioritizing factors influencing global network readiness index with bayesian belief networks Journal of Open Innovation: Technology, Market and Complexity Bayesian belief network Digital readiness Network readiness index Trust Predictive analysis |
| title | Prioritizing factors influencing global network readiness index with bayesian belief networks |
| title_full | Prioritizing factors influencing global network readiness index with bayesian belief networks |
| title_fullStr | Prioritizing factors influencing global network readiness index with bayesian belief networks |
| title_full_unstemmed | Prioritizing factors influencing global network readiness index with bayesian belief networks |
| title_short | Prioritizing factors influencing global network readiness index with bayesian belief networks |
| title_sort | prioritizing factors influencing global network readiness index with bayesian belief networks |
| topic | Bayesian belief network Digital readiness Network readiness index Trust Predictive analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2199853125000575 |
| work_keys_str_mv | AT abroonqazi prioritizingfactorsinfluencingglobalnetworkreadinessindexwithbayesianbeliefnetworks |