Browsing by Author "Wickramasinghe, C. N"

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Impact of Smartphone Addiction on Academic Performance of Undergraduates in Sri Lanka; Mediating Effect of Technology Driven Multitasking
(Faculty of Commerce and Management Studies University of Kelaniya, Sri Lanka, 2020) Praveeni, S. M. N.; Wickramasinghe, C. N
The development of technology has a profound impact on the academic lives of the students. Smartphone usage has become popular among young generation because of its educational and entertaining options by using the numerous applications. Among the young people, students are increasingly using Smartphone. However excessive Smartphone usage usually makes the students get addicted to it and that impacts on user’s academic performance. This survey study was designed to examine university undergraduates’ level of Smartphone Addiction (SA) and to investigate the impact of SA on their Academic Performance (AP) with the mediating effect of Technology Driven Multitasking behaviour (TDMT). There is not much evidence in Sri Lanka to accept the actual impact of SA and TDMT on AP of undergraduates. Especially, generation Z digital natives and their multitasking behavior with the emergence of superficial technologies should be comprehensively discussed to answer to the problem of, does SA and TDMT impact on AP? The data were gathered from 315 students at four universities. Scope is limited to management undergraduates in Sri Lanka. SA is defined as the independent variable (IV) of the study. Undergraduates AP is identified as the dependent variable (DV) of the study. TDMT is considered as a mediator variable. Descriptive and inferential analysis were used while regression analysis was used to test hypotheses. Further, Sobel test is used to test the mediate effect in the relationship between IV and DV. The findings of this study indicated that university students were highly addicted to the use of smartphones. Data analysis showed that SA negatively impact on AP while TDMT also negatively impact on DV. Further, TDMT mediates the relationship between IV and DV. This study suggests that the students should reduce the intense use of Smartphone in order to perform well in their academic activities.
Readiness to Adopt Big Data Analytics in Private Sector Companies, Sri Lanka
(Faculty of Commerce and Management Studies University of Kelaniya, Sri Lanka, 2020) Lasanthika, W. J. A. J. M.; Wickramasinghe, C. N
Organizations expand networks by opening up branches both locally and internationally through increasing their operations leveraging information technology. Modern businesses operate in the knowledge era where ceaseless efforts are required to capture opportunities in the environment (Tennakoon & Lasanthika, 2019). Researchers Kaisler et al. (2013) describes the concept of Big Data as the amount of data just beyond technology’s ability to process, manage and store efficiently. Some organizations also use special term “BDA Technology”, but the central idea behind them is the same (Mahesh et al ,2018).The report on Big Data - Global Market Outlook (2017-2026) stated that the global Big Data market accounted for $31.93 billion in 2017 and is expected to reach $156.72 billion by 2026 growing at a rate of 19.3% during the forecast period. Some leading large scale companies in developed countries are actively and increasingly adopting Big Data Technology (BDT) to combat severe market competition, but many companies in developing countries such as Sri Lanka and India are still in the early stage of the adoption or sometimes they don‘t have even an intention of adopting BDT (Mahesh et al, 2018).Organizational readiness for a system, technology or investment can be defined as those capabilities an organization needs to possess to be ready for a successful initiative (Williams & Williams, 2014). Since the mid of last decade, Big Data researchers and computer scientists mainly focused their research studies on technical and engineering aspects of Big Data (Lim et al, 2018). Scant research studies performed on technology management areas of Big Data. Hence, now it is high time to extend the research on big data in terms of its readiness by practitioners in the industry.Since most of the available literature on Big Data is still in whitepapers, this study has found no theoretical framework that completely addresses all the aspects of its readiness. The TOE model assesses the organizational readiness for a technological initiative. Hence, present study adopted TOE framework (Tornatzky & Fleischer, 1990), to incorporate the technological, organizational and environmental constructs. The instruments adopted from previous literature (Motau & Kalema, ,2017; Agrawal,2015, Salleh & Janczewski, 2016; Jorge, 2016) on BDA and organizational readiness.