dc.contributor.author |
Mahesh, DD |
|
dc.contributor.author |
Vijayapala, S |
|
dc.contributor.author |
Dasanayaka, SWSB |
|
dc.contributor.editor |
Chathuranga, D |
|
dc.date.accessioned |
2022-08-24T04:16:09Z |
|
dc.date.available |
2022-08-24T04:16:09Z |
|
dc.date.issued |
2018-05 |
|
dc.identifier.citation |
D. D. Mahesh, S. Vijayapala and S. W. S. B. Dasanayaka, "Factors Affecting the Intention to Adopt Big Data Technology : A Study Based on Financial Services Industry of Sri Lanka," 2018 Moratuwa Engineering Research Conference (MERCon), 2018, pp. 420-425, doi: 10.1109/MERCon.2018.8421917. |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/18688 |
|
dc.description.abstract |
The term “Big data” has gained huge popularity
in recent years and it is rapidly becoming a new technology trend
and a major strategic weapon for business organizations seeking
to gain a competitive advantage. The main objectives of this
research study are to identify the factors determining the
intention to adopt big data technology in financial services
industry of Sri Lanka and to investigate the nature of
relationship between those factors and the intention to adopt big
data technology. In order to reach these objectives, a structured
questionnaire survey was carried out to collect data from 30
licensed finance companies in Sri Lanka. The data were analyzed
by using multivariate quantitative techniques through descriptive
and inferential statistical methods. The empirical findings reveal
that there is a significant positive association among
compatibility, relative advantage, technological resource
competency, organizational size, absorptive capacity, competition
intensity, regulatory support and organizational intention for big
data technology adoption. However, complexity and
environmental uncertainty have a significant negative
relationship with the same. These findings will have various
implications including theoretical and policy implications. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/8421917 |
en_US |
dc.subject |
big data |
en_US |
dc.subject |
big data technology |
en_US |
dc.subject |
financial services industry |
en_US |
dc.subject |
Technology Acceptance Model (TAM) |
en_US |
dc.subject |
Technology- Organization-Environment (TOE) framework |
en_US |
dc.title |
Factors affecting the intention to adopt big data technology |
en_US |
dc.type |
Conference-Full-text |
en_US |
dc.identifier.faculty |
Engineering |
|
dc.identifier.department |
Engineering Research Unit, University of Moratuwa |
en_US |
dc.identifier.year |
2018 |
en_US |
dc.identifier.conference |
2018 Moratuwa Engineering Research Conference (MERCon) |
en_US |
dc.identifier.place |
Moratuwa, Sri Lanka |
en_US |
dc.identifier.pgnos |
pp. 420-425 |
en_US |
dc.identifier.proceeding |
Proceedings of 2018 Moratuwa Engineering Research Conference (MERCon) |
en_US |
dc.identifier.doi |
10.1109/MERCon.2018.8421917 |
en_US |