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The study aims to review the challenges of implementing big data by Malaysian small- and medium-size enterprises (SMEs)as well as to figure out the relationship between architecture, social, law and market. Currently, there is limited research and literature examining the challenges of big data...
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The telecommunications sector has accessed to large amount of data. When use effectively, this Big Data enables the telcos to achieve efficiency and profitability across the entire telecommunications value chain. However, the potential advantage of Big Data may be tempered by increasing privacy...
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This study aims to review the challenges of implementing big data analytics by Small and Medium Enterprises (SMES) in Malaysia. There is a lack of literature studies examining the relationship between Lessig’s four modalities and the challenges of big data analytics adoption. This study...
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Purpose: This research objective was to analyze factors affecting IT practitioners' behavioral intentions in adopting (BDA) using a combination of Initial Trust Model (ITM), Unified Theory Of Acceptance And Use Of Technology (UTAUT) AND Task-Technology Fit (TTF) Model acceptance models....
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Banks' primary goal is to gain profit for survival and to thrive. Therefore, they have to take various measures, such as data analysis, to maintain their sustainable competitiveness. Along with the rapid development of information technology, big data analytics capabilities (BDAC) is considered...
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Innovative technologies such as big data and predictive analytics are facilitating a global revolution in operational management. The present study aims to investigate the extent of their adoption among micro-, small and medium enterprises. The context of choice is Malaysia—a growing economy...
Persistent link: https://www.econbiz.de/10014345978