A study of postgraduate students’ perceptions of key components in ICCC to be used in artificial intelligence-based smart cities

Manoharan, Geetha; Durai, Subhashini; Rajesh, Gunaseelan Alex; Razak, Abdul; Rao, Col B.S.; Ashtikar, Sunitha Purushottam

doi:10.1016/b978-0-323-99503-0.00003-x

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Book3

Other1

Article1

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 13 publications

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Tailoring the Future—The Ascendancy of Artificial Intelligence in the Fashion Industry

Manoharan,

Ashtikar,

Nivedha

et al. 2024

Information Systems Engineering and Management

View full text Add to dashboard Cite

Tailoring the Future—The Ascendancy of Artificial Intelligence in the Fashion Industry

Manoharan,

Ashtikar,

Nivedha

et al. 2024

Information Systems Engineering and Management

View full text Add to dashboard Cite

Digital Transformation in Higher Education: A Pedagogical Perspective

Ashtikar,

Manoharan

2024

2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)

View full text Add to dashboard Cite

E-governance success factors in Bangladesh: A cross-sectional quantitative study on union digital centers

Nur Ullah,

Biswas

2024

Information Development

View full text Add to dashboard Cite

Unfolding e-governance success factors in Bangladesh through analyzing union digital centers (UDCs) is the main objective of this study. In doing so, a cross-sectional quantitative method is utilized through collecting data of 369 UDC users based on a structured questionnaire survey. The structural equation modeling (SEM) is applied to test hypotheses and find the statistical significance of the success factors. This study mainly followed D & M IS Success Model of DeLone and McLean and further identified other associated factors through an extensive literature review for making an integrated research model for this study. This study then utilized PLS-SEM and Hayes PROCESS-Macro for inferential statistics and found a substantive statistical significance of the factors exposed in the model on the UDC success. There are eight important factors having positive impacts on the e-governance success through UDC in Bangladesh. The key success factor is information quality followed by value co-creation, service availability, public trust, responsiveness, system quality, and service quality. The least contributing factor is participation. The findings of this study can be used as a theoretical basis for future research and policy notes for practical application to redesign the e-governance policies basing on the key success factors, especially for ensuring sustainable UDC success.

show abstract

A study of postgraduate students’ perceptions of key components in ICCC to be used in artificial intelligence-based smart cities

Cited by 13 publications

References 0 publications

Tailoring the Future—The Ascendancy of Artificial Intelligence in the Fashion Industry

Tailoring the Future—The Ascendancy of Artificial Intelligence in the Fashion Industry

Digital Transformation in Higher Education: A Pedagogical Perspective

E-governance success factors in Bangladesh: A cross-sectional quantitative study on union digital centers

Contact Info

Product

Resources

About