1. NCCU Academic Hub
  2. Publications
  3. College of Commerce
  4. Theses
  5. Item

Publications-Theses

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 建置公有雲服務之成熟度模型
Developing the maturity model of public cloud services
作者 陳楷
Chen, Kai
貢獻者 張欣綠
Chang, Hsin Lu
陳楷
Chen, Kai
關鍵詞 雲端運算
公有雲
成熟度模型
雲端能力
Cloud Computing
Public Cloud
Maturity Model
Cloud Capabilities
日期 2014
上傳時間 1-Dec-2014 14:27:50 (UTC+8)
摘要 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.
參考文獻 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.
描述 碩士
國立政治大學
資訊管理研究所
100356026
103
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0100356026
資料類型 thesis
dc.contributor.advisor 張欣綠zh_TW
dc.contributor.advisor Chang, Hsin Luen_US
dc.contributor.author (Authors) 陳楷zh_TW
dc.contributor.author (Authors) Chen, Kaien_US
dc.creator (作者) 陳楷zh_TW
dc.creator (作者) Chen, Kaien_US
dc.date (日期) 2014en_US
dc.date.accessioned 1-Dec-2014 14:27:50 (UTC+8)-
dc.date.available 1-Dec-2014 14:27:50 (UTC+8)-
dc.date.issued (上傳時間) 1-Dec-2014 14:27:50 (UTC+8)-
dc.identifier (Other Identifiers) G0100356026en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/71761-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理研究所zh_TW
dc.description (描述) 100356026zh_TW
dc.description (描述) 103zh_TW
dc.description.abstract (摘要) 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。zh_TW
dc.description.abstract (摘要) 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.		en_US
dc.description.tableofcontents CHAPTER 1: INTRODUCTION ..................................................................................................... 4
1.1 RESEARCH BACKGROUND AND MOTIVATION.................................................................... 4
1.2 RESEARCH OBJECTIVES AND QUESTIONS......................................................................... 5
CHAPTER 2: LITERATURE REVIEW ............................................................................................ 6
2.1 CLOUD COMPUTING ............................................................................................................. 6
2.1.1 Categories of Cloud Computing............................................................................................6
2.1.2 Usage Levels of Cloud Computing ...................................................................................... 7
2.2 CAPABILITIES FOR ADOPTING THE PUBLIC LOUD ............................................................. 8
2.2.1 Resource-Based Theory ........................................................................................................8
2.2.2 Adoption Issues for Public Cloud Services............................................................................9
2.3 PERFORMANCES OF PUBLIC CLOUD SERVICES .............................................................. 13
CHAPTER 3: RESEARCH FRAMEWORK......................................................................................14
3.1 RESEARCH FRAMEWORK .................................................................................................... 14
3.2 HYPOTHESIS.......................................................................................................................... 15
3.2.1 Tangible Resource .............................................................................................................. 15
3.2.2 Intangible Resource..............................................................................................................16
3.2.3 Human-Based Resources ................................................................................................... 17
3.2.4 Public Cloud Usage and Performance ................................................................................ 17
CHAPTER 4: RESEARCH METHODOLOGY..................................................................................18
4.1 PILOT TEST ............................................................................................................................ 18
4.2 DATA COLLECTION ............................................................................................................... 18
4.3 MEASUREMENT ..................................................................................................................... 20
4.4 INSTRUMENT VALIDATION..................................................................................................... 21
CHAPTER 5: ANALYSIS AND RESULTS........................................................................................27
5.1 MEAN VALUE ANALYSIS ....................................................................................................... 27
5.2 RESULTS................................................................................................................................. 27
5.3 DISCUSSION .......................................................................................................................... 30
CHAPTER 6: CONCLUSION ..........................................................................................................34
6.1 SUMMARY .............................................................................................................................. 34
6.2 CONTRIBUTION...................................................................................................................... 34
6.3 LIMITATIONS AND IMPLICATIONS OF FUTURE RESEARCH................................................ 35
REFERENCES ............................................................................................................................... 36
APPENDIX A: COMPLETE QUESTIONNAIRE (ENGLISH VERSION) .............................................39
APPENDIX B: COMPLETE QUESTIONNAIRE (CHINESE VERSION) .............................................45		zh_TW
dc.format.extent 1439837 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0100356026en_US
dc.subject (關鍵詞) 雲端運算zh_TW
dc.subject (關鍵詞) 公有雲zh_TW
dc.subject (關鍵詞) 成熟度模型zh_TW
dc.subject (關鍵詞) 雲端能力zh_TW
dc.subject (關鍵詞) Cloud Computingen_US
dc.subject (關鍵詞) Public Clouden_US
dc.subject (關鍵詞) Maturity Modelen_US
dc.subject (關鍵詞) Cloud Capabilitiesen_US
dc.title (題名) 建置公有雲服務之成熟度模型zh_TW
dc.title (題名) Developing the maturity model of public cloud servicesen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 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.		zh_TW