政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/71761
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113160/144130 (79%)
Visitors : 50753944      Online Users : 730
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/71761
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/71761


    Title: 建置公有雲服務之成熟度模型
    Developing the maturity model of public cloud services
    Authors: 陳楷
    Chen, Kai
    Contributors: 張欣綠
    Chang, Hsin Lu
    陳楷
    Chen, Kai
    Keywords: 雲端運算
    公有雲
    成熟度模型
    雲端能力
    Cloud Computing
    Public Cloud
    Maturity Model
    Cloud Capabilities
    Date: 2014
    Issue Date: 2014-12-01 14:27:50 (UTC+8)
    Abstract: 隨著雲端科技的發展以及它所帶來的效益,越來越多的企業願意視雲端服務為一個可行的IT解決方案。然而,不同的公司有不同的IT環境,因此在導入雲端服務時也處在不同的能力等級,而影響導入雲端服務為公司所帶來的利益。許多研究指出企業在導入雲端服務前應該注意的議題,但鮮少著重在導入雲端當下及之後所需具備的能力。因此本研究建置了一個公有雲服務的成熟度模型,由這個模型可看出: (1)企業目前的公有雲服務使用層級 (2)企業導入公有雲服務的能力狀況 (3)企業導入公有雲服務所獲得的使用效益與能力狀況之間的關聯。本研究整理過往研究,擬出三個公有雲服務使用層級,並也歸類出四項導入公有雲服務能力,分別為(1)IT資產 (2)整合能力 (3)重組與變換 (4)人力資源。本研究進一步透過問卷調查現有採用或是導入公有雲服務的企業,問卷內容在調查各企業目前公有雲服務使用的層級為何和各自擁有的能力為何,並進一步分析了解使用層級、導入能力與獲得效益之間的關係。研究結果發現,三項能力顯著影響使用層級,分別是IT資產、整合能力和重組與變換。研究也指出,若企業的使用層級越高,則會帶給公司更大的導入效益。
    With the improvement of cloud computing and its apparent advantages, companies are becoming increasingly interested in adopting cloud computing services as their IT solution. However, whereas some companies can obtain numerous benefits from the cloud, others can only obtain a few. In addition, the conditions of the IT environment vary from company to company; thus, companies may have differing levels of ability in terms of introducing cloud services. Previous research has shown several emerging issues that companies should address before they adopt public cloud services, but the research seldom focuses on the types of capabilities that companies should acquire after applying these services. This study develops a maturity model for public cloud services. Under this model, companies determine their current usage level of public cloud services and the types of capabilities they require to manage the adoption of public cloud services and to obtain more benefits from these services. After reviewing the previous research, we summarize four main capabilities for adopting public cloud services: (1) IT assets, (2) Integration, (3) Reconfiguration and transfer, and (4) Human resources.

    Our data were collected from web questionnaires. We received 158 responses, and after deleting those without sufficient data, we found 117 that were usable and complete. Then, we used the multinomial logistic regression to test our hypotheses. Drawing on this research, we reached four conclusions: (1) The three important capabilities that influence the support of using public cloud services are IT assets, integration and reconfiguration and transfer. (2) We ranked the importance of these three significant capabilities. (3) Once companies reach a higher usage level for public cloud services, they can obtain a higher benefit. (4) Human-based resources do not have a significant impact on supporting greater usage level of public cloud services. The results of this study can help companies to effectively migrate from their existing IT system to a cloud-based system.
    Reference: Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., ... & Zaharia, M. (2009). Above the Clouds: A Berkeley View of Cloud Computing. Technical Report, EECS Department, University of California, Berkeley.

    Mell, P., & Grance, T. (2011). The NIST definition of cloud computing (draft). NIST special publication, 800, 145.

    Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation computer systems, 25(6), 599-616.

    Luftman, J., & Ben-Zvi, T. (2010). Key issues for it executives 2010: Judicious it investments continue post-recession. MIS Quarterly Executive, 9(4), 263-273.

    VMware. (2011). Global Cloud Computing Adoption: Transformation Is in the Air. Retrieved from
    http://www.vmwaregrid.com/vcloud_service_provider/servedbythenet/assets/Cl oud_IDG.pdf

    Kim, W., Kim, S. D., Lee, E., & Lee, S. (2009). Adoption issues for cloud computing.
    In Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services, ACM, 3-6.

    Massetti, B., & Zmud, R. W. (1996). Measuring the extent of EDI usage in complex organizations: strategies and illustrative examples. MIS Quarterly, 331-345.

    Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of management, 17(1), 99-120.

    Grant, R. M. (1991). A resource based theory of competitive advantage: Implications for strategy formulation. California Management Review, 33(3), 114-135.

    Teece, D.J., Pisano, G., & Shuen, A. (1997) Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509-533.

    Bharadwaj, A. S. (2000). A resource-based perspective on information technology capability and firm performance: an empirical investigation. MIS quarterly, 169-196.

    Kim, W. (2009). Cloud Computing: Today and Tomorrow. Journal of object technology, 8(1), 65-72.

    Emerson. (2010). Taking the Enterprise Data Center into the Cloud- Achieving a Flexible, High-Availability Cloud Computing Infrastructure. Retrieved from http://www.emersonnetworkpower.com/en-US/Brands/Liebert/Documents/Whi te%20Papers/scalable-data-center_24567-R11-10.pdf

    Shimba, F. (2010). Cloud computing: Strategies for cloud computing adoption. Dublin Institute of Technology.

    Géczy, P., Izumi, N., & Hasida, K. (2012). Cloudsourcing: Managing Cloud Adoption. Global Journal of Business Research, 6(2), 57-70.

    Aljabre, A. (2012). Cloud Computing for Increased Business Value. International Journal of Business and Social Science, 3(1), 234-238.

    Boss, G., Malladi, P., Quan, D., Legregni, L., & Hall, H. (2007). Cloud computing. IBM white paper, 1369. Retrieved from http://files.spogel.com/projectsqa/qa-00135--how%20a%20business%20can%2 0use%20cloud%20computing%20to%20reduce%20cost.docx

    Gartner. (2009). Gartner Highlights Five Attributes of Cloud Computing. Gartner press release. Retrieved from http://www.gartner.com/newsroom/id/1035013

    Dillon, T., Wu, C., & Chang, E. (2010). Cloud computing: Issues and challenges.
    In Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on, IEEE, 27-33.

    Keen, P. G. W. (1993). Information technology and the management difference: a fusion map. IBM Systems Journal, 32(1), 17-39.

    McKenney, J. L., Copeland, D. C., & Mason, R. O. (1995). Waves of change: Business evolution through information technology. Harvard Business Press.

    Woods, D., & Pattabhiram, C. (2009). Integration: The critical path to cloud computing. Cast Iron Systems white paper on Cloud Integration.

    Deloitte. (2011). Capability Cloud. Retrieved from http://www.deloitte.com/assets/Dcom-UnitedStates/Local%20Assets/Document s/us_consulting_TT_chapter10_05062011.pdf

    Creese, S., Hopkins, P., Pearson, S., & Shen, Y. (2009). Data protection-aware design for cloud services. In The First International Conference on Cloud Computing, 119-130.

    Patel, P., Ranabahu, A., & Sheth, A. (2009). Service Level Agreement in cloud computing. Conference on Object Oriented Programming Systems Languages and Applications, Orlando,
    Florida, USA.

    Hofmann, P., & Woods, D. (2010). Cloud computing: The limits of public clouds for business applications. Internet Computing, IEEE, 14(6), 90-93.

    Zhu, K., Kraemer, K., & Xu, S. (2003). Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors. European Journal of Information Systems, 12(4), 251-268.

    Chau, P. Y. (1999). On the use of construct reliability in MIS research: a meta-analysis. Information & Management, 35(4), 217-227.
    Description: 碩士
    國立政治大學
    資訊管理研究所
    100356026
    103
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0100356026
    Data Type: thesis
    Appears in Collections:[Department of MIS] Theses

    Files in This Item:

    File SizeFormat
    602601.pdf1406KbAdobe PDF2607View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback