A QFD Approach for Cloud Computing Evaluation and Selection in KMS: A Case Study

References

• A. CHUA, Knowledge management system architecture: a bridge between KM consultants and technologists, International Journal of Information Management. 24(2004) 87–98.
   Web of Science ®Google Scholar
• A. LIN, and N. C. CHEN, Cloud computing as an innovation: Percepetion, attitude, and adoption, International Journal of Information Management. 32(2012) 533–540.
   Web of Science ®Google Scholar
• C. N. LIAO, I. L. CHIH and Y. K. FU, Cloud computing: A conceptual framework for knowledge management system, Human Systems Management. 30(3)(2011)137–143.
   Google Scholar
• H. ERDOGMUS, Cloud computing: Does Nirvana hide behind the Nebula? IEEE Internet Computing. 13(5)(2009)34–42.
   Web of Science ®Google Scholar
• D. GRANTA and A. H. MERGENB, Towards the use of Six Sigma in software development, Total Quality Management & Business Excellene. 20(7)(2009) 705–712.
   Web of Science ®Google Scholar
• C. L. ANG, M. DAVIES, P. N. FINLAY, An empirical study of the use of information technology to support total quality management, Total quality management. 12(2)(2001)145–157.
   Web of Science ®Google Scholar
• H. W. LEE and J. H. DING, The effects of e-business on the performance of strategic alliances, Total Quality Management & Business Excellence. 21(7)(2010)707–724.
   Web of Science ®Google Scholar
• A. BHATTACHARYA, B. SARKAR and S. K. MUKHERJEE, Integrating AHP and QFD for robot selection under requirement perspective, International Journal of Production Research. 43(17)(2005)3671–3685.
   Web of Science ®Google Scholar
• C. W. CHEN and S. T. HUANG, Implementing KM programmers using fuzzy QFD, Total Quality Management & Business Excellence. 22(4)(2011)387–406.
   Web of Science ®Google Scholar
• M. ZELENY, Knowledge as a new form of capital, part 2: knowledge-based management systems, Human Systems Management. 8(2)(1989)129–143.
   Google Scholar
• M. ZELENY, Knowledge-information autopoietic cycle: towards the wisdom systems, International Journal of Management and Decision Making. 7(1) (2006) 3–18.
   Google Scholar
• S. M. TSENG, Knowledge management system performance index, Expert Systems with Applications. 34(1)(2008)734–745.
   Web of Science ®Google Scholar
• A. TIWANA, The knowledge management toolkit: practical techniques for building knowledge management system, Prentice-Hall, (2001).
   Google Scholar
• H. T. LIU, The extension of fuzzy QFD: from product planning to part deployment, Expert Systems with Applications. 36(2009)11131–11144.
   Web of Science ®Google Scholar
• H. SMYTH and R. LONGBOTTOM, 2005. Knowledge management information services: The case of the concrete and cement industries, European Management Journal. 23(2)(2005)247–259.
   Google Scholar
• I. NONAKA, The knowledge-creating company, Harvard Business Review. 69(6) (1991), 96–104.
   Web of Science ®Google Scholar
• P. REINMOELLER, The knowledge-based view of the firm and upper echelon theory: exploring the agency of TMT, International Journal of Learning and Intellectual Capital. 1(1)(2004)91–104.
   Google Scholar
• L. R. J. SOUSA and A. S. PINTO. The integration of information systems shared services center with e-learning for sharing knowledge capabilities, Procedia Technology. 9(2013)480–488.
   Google Scholar
• T. H. DAVENPORT, S. L. JARVENPAS and M. C. BEERS, Improving knowledge work process, Sloan Management Review. 17(1996)53–65.
   Google Scholar
• P. L. LIU, W. C. CHEN and C. H. TASAI, An empirical study on the correlation between the knowledge management method and new product development strategy on product performance in Taiwan's industries, Technovation. 25 (2005) 637–644.
   Web of Science ®Google Scholar
• L. ZHANG, J. LI, Y. SHI and X. LIU, Foundations of intelligent knowledge management, Human Systems Management. 28(4)(2009)145–161.
   Google Scholar
• D. BAZARAS, K. LEDAUSKAITE, and R. PALŠAITIS, Comparable analysis of information and communication technologies in Lithuania and Finland, Transport. 25(1)(2010)98–104.
   Web of Science ®Google Scholar
• T. ERCAN, Effective use of cloud computing in educational institutions, Procedia Social and Behavioral Sciences. 2(2010)938–942.
   Google Scholar
• A. ROSENTHAL, P. MORK, M. H. LI, J. STANFORD, D. KOESTER and P. REYNOLDS, Cloud computing: A new business paradigm for biomedical information sharing, Journal of Biomedical Informatics. 43(2010)342–353.
   PubMed Web of Science ®Google Scholar
• N. SULTAN, Cloud computing for education: A new dawn,? International Journal of Information Management. 30(2010)109–116.
   Web of Science ®Google Scholar
• K. N. JHA and K. C. IYER, Critical factors affecting quality performance in construction projects, Total Quality Management & Business Excellence. 17(9) (2006)1155–1170.
   Web of Science ®Google Scholar
• M. ZAREI, M. B. FAKHRZAD and M. J. PAGHALEH, Food supply chain leanness using a developed QFD model, Journal of Food Engineering. 102 (2011)25–33.
   Web of Science ®Google Scholar
• A. BUDYANSKY, Improved quality tactic, Total Quality Management & Business Excellence. 20(9)(2009)921–930.
   Web of Science ®Google Scholar
• Y. AKAO, Quality Function development: Integrating Customer Requirements into Product Design. The Productivity Press, Cambridge, MA. 1990.
   Google Scholar
• E. BOTTANI and A. RIZZI, Strategic management of logistics service: A fuzzy QFD approach, International Journal of Production Economics. 103 (2006)585–599.
   Web of Science ®Google Scholar
• L. K. CHAN and M. L. WU, Quality function development: A literature review, European Journal of Operational Research. 143(2002)463–497.
   Web of Science ®Google Scholar
• Y. H. TSENG and C. T. LIN, Enhancing enterprise agility by deploying agile drivers, capabilities and providers, Information Sciences. 181(2011) 3693–3708.
   Web of Science ®Google Scholar
• ASI, Quality function development. Three-day workshop held by the American Supplier Institute, 1992.
   Google Scholar
• M. BENNER, A. R. LINNEMANNA, W. M. F. JONGENA and P. FOLSTARA, Quality function development (QFD)—can it be used to develop food products? Food Quality and Preference. 14(2003)327–339.
   Web of Science ®Google Scholar
• C. P. M. GOVERS, What and how about Quality function development (QFD), International Journal of Production Economics. 46/47(1996)575–585.
   Web of Science ®Google Scholar
• A. GRIFFIN, Evaluating QFD's use in US firms as a process for developing products, Journal of Product Innovation Management. 9(1992)171–187.
   Web of Science ®Google Scholar
• J. R. HAUSER, How Puritan-Bennet used the House of Quality, Sloan Management Review. ( spring)(1993)61–70.
   Google Scholar
• C. T. CHANG, Multi-choice goal programming, Omega. 35(2007)389–396.
   Web of Science ®Google Scholar
• L. H. CHEN and W. C. KO, Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept, European Journal of Operational Research. 201(2010)619–632.
   Web of Science ®Google Scholar
• S. DULEBA, T. MISHINA and Y. SHIMAZAKI, A dynamic analysis on public bus transport's supply quality by using AHP, Transport. 27(3)(2012)268–275.
   Web of Science ®Google Scholar
• L. SCHRAGE, LINGO Release 8.0. LINDO System Inc (2002).
   Google Scholar
• C. N. LIAO and H. P. KAO, An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management, Expert Systems with Applications. 38(9)(2011)10803–10811.
   Web of Science ®Google Scholar
• G. ZHANG, Y. CHEN, P. L. I, and S. FIBBE, Study on evaluation indicators system of crowd management for transfer stations based on pedestrian simulation. International Journal of Computational Intelligence Systems. 4(6)(2011)1375–1382.
   Web of Science ®Google Scholar
• C. N. LIAO. An evaluation model using fuzzy TOPSIS and goal programming for TQM consultant selection, Journal of Testing and Evaluation. 41(1)(2013) 122–130.
   Web of Science ®Google Scholar
• C. N. LIAO. A fuzzy approach to business travel airline selection using an integrated AHP-TOPSIS-MSGP methodology, International Journal of Information Technology & Decision Making. 12(1)(2013)119–137.
   Web of Science ®Google Scholar