Modified IPA for order-winner criteria improvement: A MICMAC approach

Journal of Applied Sciences

Volumn 9, Issue 21, 2009, Pages 3792-3803

  Hu, Hsiu Yuan ^a,b   Chui, Shao I ^a   Yen, Tieh Min ^c  

^a Taipei College of Maritime Technology   (Taiwan)

^b Da Chien Health Medical System   (Taiwan)

^c CHUNG HUA UNIVERSITY   (Taiwan)

Author keywords

Customer satisfaction; Importance performance analysis; Matrice d'Impacts Croises Multiplication Appliquee un Classement (MICAC); Order winner criteria

Indexed keywords

AIR CONDITIONING TECHNOLOGIES; CONSUMER SATISFACTIONS; DECISION MODELING; IMPORTANCE-PERFORMANCE ANALYSIS; MARKET STRATEGIES; MUTUALLY INDEPENDENTS; ORDER-WINNER CRITERIA; QUALITY CHARACTERISTIC;

COMMERCE; CUSTOMER SATISFACTION;

DECISION MAKING;

EID: 70350361973     PISSN: 18125654     EISSN: 18125662     Source Type: Journal    
DOI: 10.3923/jas.2009.3792.3803     Document Type: Article

References (37)

1. Agarwal, A., R. Shankar and M.K. Tiwari, 2007. Modeling agility of supply chain. Industrial Market. Manage., 36: 443-457.
2. Aigbedo, H. and R. Parameswaran, 2004. Importance performance analysis for improving quality of campus food service. Int. J. Qual. Reliab. Manage., 21: 876-896.
3. Arya, D.S. and S.A. Abbasi, 2001. Identification and classification of key variables and their role in environmental impact assessment: Methodology and software package intra. Environ. Monit. Assess., 72: 277-296.
4. Bacon, D.R., 2003. A comparison of approaches to importance-performance analysis. Int. J. Mar. Res., 45: 55-72.
5. Duperrin, J.C. and M. Godet, 1973. Methode de hierarchisation des elements d'un systeme. Rapport Economique du CEA, R-45-41, Paris.
6. Eskildsen, J.K. and K. Kristensen, 2006. Enhancing importance-performance analysis. Int. J. Prod. Perf. Manage., 55: 40-60.
7. Faisal, M.N., D.K. Banwet and R. Shankar, 2006. Supply chain risk mitigation: Modeling the enablers. Bus. Process Manage. J., 12: 535-552.
8. Faisal, M.N., D.K. Banwet and R. Shankar, 2007. Information risks management in supply chains: An assessment and mitigation framework. J. Ent. Inform. Manage., 20: 1747-17398.
9. Garvin, D.A., 1987. Competing on the eight dimensions of quality. Harvard Bus. Rev., 65: 101-109.
10. Georgantzas, N.C. and M.P. Hessel, 1995. The intermediate structure of designs for quality. Int. J. Q. Reliabil. Manage., 12: 97-108.
11. Griffin, A. and J.R. Hauser, 1993. The voice of customer. Market. Sci., 12: 1-27.
12. Hill, T., 2000. Manufacturing Strategy: Text and Cases. 3rd Edn., The McGraw-Hill Companies Inc., Palgrave, Basingstoke, ISBN-13: 978-0256106664.
13. Huang, Y.C., C.H. Wu and C.J. Hsu, 2006. Using importance-performance analysis in evaluating Taiwan medium and long distance national highway passenger transportation service quality. J. Am. Acad. Bus., 8: 98-104.
14. Jha, K.N. and M.N. Devaya, 2008. Modelling the risks faced by indian construction companies assessing international projects. Construction Manage. Econ., 26: 337-348.
15. Kannan, G. and A.N. Haq, 2007. Analysis of interactions of criteria and sub-criteria for the selection of supplier in the built-in-order supply chain environment. Int. J. Prod. Res., 45: 3831-3852.
16. Lee, Y.C., C.C. Cheng and T.M. Yen, 2009. Integrate kanos model and ipa to improve order-winner criteria: A study of computer industry. J. Applied Sci., 9: 38-48.
17. Lee, Y.C., H.Y. Hu, T.M. Yen and C.H. Tsai, 2008. Kanos model and decision making trial and evaluation laboratory applied to order-winners and qualifiers improvement: A study of computer industry. Inform. Technol. J., 7: 702-714.
18. Lee, Y.C., T.M. Yen and C.H. Tsai, 2008. The study of an integrated rating system for supplier quality performance in the semiconductor industry. J. Applied Sci., 8: 453-461.
19. Lee, Y.C., T.M. Yen and C.H. Tsai, 2008. Using importance-performance analysis and decision making trial and evaluation laboratory to enhance order-winner criteria: A study of computer industry. Inform. Technol. J., 7: 396-408.
20. Levenburg, N.M. and S.R. Magal, 2005. Applying importance-performance analysis to evaluate E-business strategies among small firms. E-Service J., 3: 29-48.
21. Mandal, A. and S.G. Deshmukh, 1994. Vender selection using interpretive structural modeling. Int. J. Operat. Prod. Manage., 14: 52-59.
22. Martilla, J.A. and J.C. James, 1977. Importance-performance analysis. J. Market., 41: 77-79.
23. Matzler, K. and E. Sauerwein, 2002. The Factor Structure of customer satisfaction: An empirical test of importance grid and the penalty-reward-contrast analysis. Int. J. Service Ind. Manage., 13: 314-332.
24. Matzler, K., E. Sauerwein and K.A. Heischmidt, 2003. Importance-performance analysis revisited: The role of factor structure of customer satisfaction. Service Ind. J., 23: 112-129.
25. Matzler, K., F. Bailom, H.H. Hinterhuber, B. Renzl and J. Pichler, 2004. The asymmetric relationship between attribute-level performance and overall customer satisfaction: A reconsideration of the importance-performance analysis. Ind. Market. Manage., 33: 271-277.
26. Matzler, K., M. Rier, H.H. Hinterhuber, B. Renzl and C. Stadler, 2005. Methods and concepts in management: Significance, satisfaction and suggestions for further research-perspectives from Germany, Austria and Switzerland. Strategic Change, 14: 1-13.
27. Qureshi, M.N., D. Kumar and P. Kumar, 2007. Modeling the logistics outsourcing relationship variables to enhance shipper's productivity and competitiveness in logistical supply chain. Int. J. Prod. Perform. Manage., 56: 689-714.
28. Qureshi, M.N., D. Kumar and P. Kumar, 2008. An integrated model to identify and classify the key criteria and their role in the assessment of 3pl services providers. Asia Pacific J. Market. Logist., 20: 227-249.
29. Ravi, V. and R. Shankar, 2005. Analysis of interactions among the barriers of reverse logistics. Tech. Forecast. Soc. Change, 72: 1011-1029.
30. Ravi, V., R. Shankar and M.K. Tiwari, 2005. Productivity improvement of a computer hardware supply chain. Int. J. Prod. Perform. Manage., 54: 239-255.
31. Sampson, S.E. and M.J. Showalter, 1999. The performance-importance response function: Observations and implications. Service Ind. J., 19: 1-25.
32. Slack, N., 1994. The importance-performance matrix as a determinant of improvement priority. J. Operat. Prod. Manage., 14: 59-75.
33. Tarrant, M.A. and E.K. Smith, 2002. The use of a modified importance-performance framework to examine visitor satisfaction with attributes of outdoor recreation settings. Manag. Leisure, 7: 69-82.
34. Tonge, J. and S.A. Moore, 2007. Importance-satisfaction analysis for marine-park hinterlands: A Western Australian case study. Tourism Manage., 28: 768-776.
35. Wang, G.H., Y.X. Wang and T. Zhao, 2008. Analysis of interactions among the barriers to energy saving in china. Energy Policy, 36: 1879-1889.
36. Yavas, U. and D.J. Shemwell, 2001. Modified importance-performance analysis: An application to hospitals. Int. J. Health Care Qual. Assurance, 14: 104-110.
37. Zhang, H.Q. and I. Chow, 2004. Application of importance-performance model in tour guides performance: Evidence from mainland Chinese outbound visitors in Hong Kong. Tourism Manage., 25: 81-91.