Software Reuse Success Strategy Model: An Empirical Study of Factors Involved in the Success of Software Reuse
2013
- 253Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage253
- Abstract Views169
- Downloads84
Artifact Description
This study examined the relationship between information technology (IT) governance and software reuse success. Software reuse has been mostly an IT problem but rarely a business one. Studies in software reuse are abundant; however, to date, none has a deep appreciation of IT governance. This study demonstrates that IT governance has a positive influence on software reuse success. IT strategy and strategic decision-making process mediate the relationship between IT governance and software reuse success as mediators of the relationship. A sample of over 200 responses from IT professionals and business managers was used in this research. Data analysis was accomplished using confirmatory factor analysis (CFA) and structural equation model (SEM) with AMOS. The findings of this study supported the main causal relationship between effective IT governance and software reuse success. This study confirmed the need for effective IT governance in order to achieve success in software reuse initiatives.
Bibliographic Details
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