Effect of network strategic capabilities on digital transformation in Jordanian universities

  • Received June 5, 2022;
    Accepted August 12, 2022;
    Published September 1, 2022
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/ppm.20(3).2022.20
  • Article Info
    Volume 20 2022, Issue #3, pp. 247-257
  • TO CITE АНОТАЦІЯ
  • Cited by
    5 articles
  • 410 Views
  • 108 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

The study aims to explore the effect of network strategic capabilities (NSCs) with its dimension of artificial intelligence (AI) and blockchain on digital transformation (DT) in Jordanian universities. The paper used the analytical-descriptive approach to analyze and interpret the results. The study population includes Jordanian universities, and the sample consists of top management. Out of 400, 304 questionnaires were completed and returned. The results show that AI (β = 1.219, t = 1.175, p < 0.00) and blockchain (β = –0.773, t = 0.437, p < 0.00) have a significant effect on DT. The first sub-hypothesis results concerning leadership revealed that AI (β = 0.525, t = 0.360, p < 0.03) and blockchain (β = –0.538, t = 0.186, p < 0.04) have a significant effect on leadership. The second sub-hypothesis result concerning strategic planning revealed that AI (β = 4.031, t = 3.050, p < 0.002) and blockchain (β = –5.150, t = 2.334, p < 0.020) have a significant effect on strategic planning. While for third sub-hypothesis concerning infrastructure, the results of AI were β = 0.818, t = 1.011, p < 0.032 and for blockchain β = 0.159, t = 0.121, p < 0.904. This result shows that AI has a significant effect on infrastructure, while blockchain does not have any effect. Therefore, NSCs must be integrated into the business process to enhance and boost DT efficiently and effectively.

view full abstract hide full abstract
    • Figure 1. Conceptual framework
    • Figure 2. Employing network strategic capabilities on digital transformation
    • Figure 3. Employing network strategic capabilities on leadership
    • Figure 4. Employing network strategic capabilities on strategic planning
    • Figure 5. Employing network strategic capabilities on infrastructure
    • Table 1. Summary of the study sample
    • Table 2. Cronbach’s alpha, average variance extracted (AVE), and weight of item loading
    • Table 3. Normal distribution of dependent variable dimensions
    • Table 4. Testing the variance inflation factor and the allowable variance to employ networks strategic capabilities
    • Table 5. Path analysis to employ networks strategic capabilities on DT
    • Table 6. Path analysis to employ networks strategic capabilities on leadership
    • Table 7. Path analysis to employ networks strategic capabilities on strategic planning
    • Table 8. Path analysis to employ networks strategic capabilities on infrastructure
    • Investigation
      Tayseer AL Afaishat
    • Project administration
      Tayseer AL Afaishat
    • Resources
      Tayseer AL Afaishat
    • Software
      Tayseer AL Afaishat
    • Validation
      Tayseer AL Afaishat, Maan Al-Maadhedee
    • Writing – review & editing
      Tayseer AL Afaishat, Maan Al-Maadhedee
    • Conceptualization
      Hamza Khraim
    • Data curation
      Hamza Khraim, Maan Al-Maadhedee
    • Formal Analysis
      Hamza Khraim
    • Methodology
      Hamza Khraim, Maan Al-Maadhedee
    • Writing – original draft
      Hamza Khraim
    • Funding acquisition
      Maan Al-Maadhedee