Abstract:
In Sri Lanka, telecommunication service providers (TSPs) are looking for new
definitions and guidelines for innovation direction due to the changing nature of
technology, user behavior, competition, and market trends. Data sources, types and
analysis methods have changed dramatically in the last few years, and there are pieces
of evidence that these are influencing the level of innovation in a firm. Big data
analytics (BDA) is recognized as one of the most impatient future technology. Most
literature on BDA focuses on how it can be used to enhance tactical organizational
capabilities, but there are limited studies have adopted the conceptual model of this
study regarding the mediating role of VC has between BDA capabilities and innovation.
To address this gap, the study extends existing research by examines the indirect impact
of BDA capabilities on innovation with mediating role of value creation mechanisms
(VCMs). Further, this study try to determine level of intention to adopt BDA and to
identify the interrelationships armlong BDA capabilities, innovation, and VCMs in
selected TSPs from twelve districts of Sri Lanka. To test the proposed research model,
data collection was accomplished self-administered questionnaire and online
questionnaire from 9l executive level employees by using exponential non discriminative snowball sampling technique. Additionally, data analysis was
accomplished through descriptive analysis, univariate analysis, bivariate analysis, and
multi variate analysis .
Based on the objectives of this study, four hypotheses were developed and tested. Based
on the obtained results, the study found that BDA c4abilities have a strong impact on
innovation and this effect is partially mediated by VCMs. The study also discloses that
there are strong positive significant interrelationships among BDA capabilities,
innovation, and VCMs. The results of this study also show that there is high level oT
BDA adoption intention riming selected TSPs in from twelve districts of Sri Lanka.
Further, the study concludes that BDA capabilities enable TSPs to generate the insight
that can trigger or strengthen their VCMs, which, in turn, positively associate with
improved innovation. Finally, this study fulfilled the empirical and population gaps and
serve as a reference for the TSPs those who have intention to adopt BDA to improve
the innovation.
