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Title:
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INFLUENCING FACTORS OF IN-MEMORY DATABASES FOR BUSINESS INFORMATION SYSTEMS |
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Author(s):
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Hans-Peter Steinbacher, Hendrik Teerling |
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ISBN:
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978-989-8533-50-0 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2016 |
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Edition:
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Single |
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Keywords:
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Bigdata, Inmemory-Database, Issm, Structural Equation Model |
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Type:
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Short Paper |
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First Page:
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130 |
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Last Page:
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134 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Nowadays companies have to face the exponential increasing amount of data and therefore to manage the complexity of storing, analyzing and organizing it. The challenge is the economical usage of this information and known database management system might have reached their limitations. New concepts and database types have to be used for managing this big data. In the following, the driving and restraining factors of the use of In-memory databases for business information systems are analyzed. To identify critical factors of the use, a structural equation model based on the information-system success model of DeLone and McLean was used. A literature research and quantitative survey have been used for verify or falsify the hypothesis. |
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