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  <doc>
    <id>791</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>6285</pageFirst>
    <pageLast>6294</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2021-01-05</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">IaaS, PaaS, or SaaS? The Why of Cloud Computing Delivery Model Selection</title>
    <abstract language="eng">Most large-scale organizations adopted Cloud Computing (CC) on a company level in recent years. Managers now face the challenge to appropriately implement CC "operationally", i.e., for information systems (ISs). We refer to this as post-adoption, addressing the extent of technology usage after adoption. Specifically, managers need to choose among the CC delivery models Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-asa-Service (SaaS). We differentiate the determinants of this post-adoption decision for IaaS, PaaS, and SaaS. Based on this analysis, we derive criteria that guide managers' delivery model selection: Adopt 1) IaaS for ISs requiring flexibility and reduced time to market, 2) PaaS to access specialized resources, and 3) SaaS to focus on core competencies. Moreover, we analyze the impact on the CC strategy and postulate them as recommendations: I) acknowledge the interplay between governance and time-to-market, II) realize cost savings on company level, and III) consider strategically important ISs for CC.</abstract>
    <parentTitle language="eng">Proceedings of the 54th Hawaii International Conference on System Sciences, 2021</parentTitle>
    <subTitle language="eng">Vignettes on the Post-Adoption of Cloud Computing</subTitle>
    <identifier type="isbn">978-0-9981331-4-0</identifier>
    <identifier type="url">https://aisel.aisnet.org/hicss-54/os/practice-based_research/5/</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-7913</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>Frederik Wulf</author>
    <author>Tobias Lindner</author>
    <author>Susanne Strahringer</author>
    <author>Markus Westner</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Cloud Computing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>IT Sourcing</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16315">Information und Kommunikation</collection>
    <collection role="institutes" number="">Labor Regensburg Strategic IT Management (ReSITM)</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/791/0614.pdf</file>
  </doc>
</export-example>
