A metrics suite for firm-level cloud computing adoption readiness
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 8914, Page: 19-35
2014
- 12Citations
- 224Usage
- 47Captures
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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.
Metrics Details
- Citations12
- Citation Indexes12
- 12
- CrossRef4
- Usage224
- Downloads171
- Abstract Views53
- Captures47
- Readers47
- 47
Conference Paper Description
Recent research on cloud computing adoption indicates that there has been a lack of deep understanding of its benefits by managers and organizations. This has been an obstacle for adoption. We report on an initial design for a firm-level cloud computing readiness metrics suite. We propose categories and measures to form a set of metrics to measure adoption readiness and assess the required adjustments in strategy and management, technology and operations, and business policies. We reviewed the relevant interdisciplinary literature and interviewed industry professionals to ground our metrics based on theory and practice knowledge. We identified four relevant categories for firm-level adoption readiness: technological, organizational, economic and environmental factors. We defined sub-categories and measures for each category. We also proposed several propositions to show how the metrics can contribute to business value creation.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84927731308&origin=inward; http://dx.doi.org/10.1007/978-3-319-14609-6_2; http://link.springer.com/10.1007/978-3-319-14609-6_2; http://link.springer.com/content/pdf/10.1007/978-3-319-14609-6_2; https://ink.library.smu.edu.sg/sis_research/2562; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3562&context=sis_research; https://dx.doi.org/10.1007/978-3-319-14609-6_2; https://link.springer.com/chapter/10.1007/978-3-319-14609-6_2
Springer Science and Business Media LLC
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