A method to evaluate service delivery process quality

International Journal of Service Industry Management

Volumn 18, Issue 4, 2007, Pages 418-442

  Di Mascio, Rita ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Probabilistic uncertainty analysis; Process quality; Service engineering; Service science; Taguchi quality loss

Indexed keywords

EID: 34547655398     PISSN: 09564233     EISSN: None     Source Type: Journal    
DOI: 10.1108/09564230710778164     Document Type: Article

References (90)

1. Anderson, E.W. and Sullivan, M.W. (1993), "The antecedents and consequences of consumer satisfaction for firms", Marketing Science, Vol. 12 No. 2, pp. 125-43.
2. Baldrige National Quality Program (2004), Health Care Criteria For Performance Excellence, US Department of Commerce and Technology Administration NIST, Gaithersburg, MD.
3. Barney, J.B. (1991), "Firm resources and sustained competitive advantage", Journal of Management, Vol. 17, pp. 99-120.
4. Barrett, J.D. and Woodall, W.H. (1997), "A probabilistic alternative to fuzzy logic controllers", IIE Transactions, Vol. 29 No. 6, pp. 459-67.
5. Beattie, J. and Baron, J. (1991), "Investigating the effect of stimulus range on attribute weight", Journal of Experimental Psychology: Human Perception and Performance, Vol. 17 No. 2, pp. 571-85.
6. Boulding, W., Kalra, A., Staelin, R. and Zeithaml, V.A. (1993), "A dynamic process model of service quality", Journal of Marketing Research, Vol. 30, pp. 7-27.
7. Bowen, D.E. and Youngdahl, W.E. (1998), "'Lean' service: in defense of a production-line approach", International Journal of Service Industry Management, Vol. 9 No. 3, pp. 207-25.
8. Briggs, A.H. (2000), "Handling uncertainty in cost-effectiveness models", Pharmacoeconomics, Vol. 17 No. 5, pp. 479-500.
9. Brown, S.W., Fisk, R.P. and Bitner, M.J. (1994), "The development and emergence of services marketing thought", International Journal of Service Industry Management, Vol. 5 No. 1, pp. 21-48.
10. Chapman, C. and Ward, S. (2003), "Constructively simple estimating: a project management example", Journal of the Operational Research Society, Vol. 54, pp. 1050-8.
11. Chase, R.B. and Kellogg, D.L. (1990), "Conclusion: the state of service management knowledge", in Bowen, D.E., Chase, R.B., Cummings, T.G. et al. (Eds), Service Management Effectiveness: Balancing Strategy, Organization and Human Resources, Operations, and Marketing, Jossey-Bass, San Francisco, CA, pp. 384-94.
12. Chase, R.B. and Stewart, D.M. (1994), "Make your service fail-safe", Sloan Management Review, Spring, pp. 35-44.
13. Chen, L.H. (1997), "Designing robust products with multiple quality characteristics", Computers & Operations Research, Vol. 24 No. 10, pp. 937-44.
14. Cook, R.L. and Stewart, T.R. (1975), "A comparison of seven methods for obtaining subjective descriptions of judgmental policy", Organizational Behavior and Human Performance, Vol. 13, pp. 31-45.
15. Crosby, P.B. (1989), Let's Talk Quality, McGraw-Hill, New York, NY.
16. Demos, M.P. and Demos, N.P. (1989), "Statistical quality control's role in health care management", Quality Progress, August, pp. 85-9.
17. Di Mascio, R. (2002a), "Service process control: conceptualising a service as a feedback control system", Journal of Process Control, Vol. 12, pp. 221-32.
18. Di Mascio, R. (2002b), "An economic measure for comparing dynamic robustness", Journal of Process Control, Vol. 12, pp. 745-51.
19. Diwekar, U.M. and Rubin, E.S. (1994), "Parameter design methodology for chemical processes using a simulator", Industrial and Engineering Chemistry Research, Vol. 33, pp. 292-8.
20. Dorsch, J.J., Yasin, M.M. and Czuchry, A.J. (1997), "Application of root cause analysis in a service delivery operational environment: a framework for implementation", International Journal of Service Industry Management, Vol. 8 No. 4, pp. 268-89.
21. Easton, F.F. and Pullman, M.E. (2001), "Optimizing service attributes: the seller's utility problem", Decision Sciences, Vol. 32 No. 2, pp. 251-75.
22. Eckenrode, R.T. (1965), "Weighting multiple criteria", Management Science, Vol. 12 No. 3, pp. 180-92.
23. Edvardsson, B. (1992), "Service breakdowns: a study of critical incidents in an airline", International Journal of Service Industry Management, Vol. 3 No. 4, pp. 17-29.
24. Edvardsson, B. and Olsson, J. (1996), "Key concepts for new service development", The Service Industries Journal, Vol. 16 No. 2, pp. 140-64.
25. EFQM (2003), The Fundamental Concepts of Excellence, European Foundation for Quality Management, Brussels.
26. Evangelist, B.G., Johnson, J., Conzola, V., Kizer, R., Young-Helou, S. and Metters, R. (2002), "Linking marketing and operations: an application at Blockbuster Inc.", Journal of Service Research, Vol. 5 No. 2, pp. 91-100.
27. Fischer, G.W. (1995), "Range sensitivity of attribute weights in multiattribute value models", Organizational Behavior and Human Decision Processes, Vol. 62 No. 3, pp. 252-66.
28. Fischer, W., Jia, J. and Luce, M.F. (2000), "Attribute conflict and preference uncertainty: the RandMAU model", Management Science, Vol. 46 No. 5, pp. 669-84.
29. Freeman, R.E. (1984), Strategic Management: A Stakeholder Approach, Pitman, Boston, MA.
30. Goodale, J.C. and Tunc, E. (1997), "Tour scheduling with dynamic service rates", International Journal of Service Industry Management, Vol. 9 No. 3, pp. 226-47.
31. Green, P.E. and Krieger, A.M. (1995), "Attribute importance weights modification in assessing a brand's competitive potential", Marketing Science, Vol. 14 No. 3, pp. 253-70.
32. Griffin, A. and Hauser, J.R. (1993), "The voice of the customer", Marketing Science, Vol. 12 No. 1, pp. 1-27.
33. Grönroos, C. (1984), "A service quality model and its marketing implications", European Journal of Marketing, Vol. 18, pp. 36-44.
34. Hornik, J. (1984), "Subjective vs objective time measures: a note on the perception of time in consumer behavior", Journal of Consumer Research, Vol. 11, pp. 615-8.
35. Hunter, J.S. (1985), "Statistical design applied to product design", Journal of Quality Technology, Vol. 17 No. 4, pp. 210-21.
36. Jackson, K.E. (1992), "Hospital processes can't be improved until they are understood", Quality Progress, April, pp. 61-5.
37. James, B.C., Horne, S.D. and Stephenson, R.A. (1994), "Management by fact: what is CPI and how is it used?", in Horne, S.D. and Hopkins, D.S. (Eds), Clinical Practice Improvement: A New Technology for Developing Cost-effective Quality Health Care, Vol. 1, Faulkner and Gray, Washington, DC.
38. Juran, J.M. (1980), Quality Planning and Analysis: From Product Development Through Use, McGraw-Hill, New York, NY.
39. Kacker, R.S. (1985), "Off-line quality control, parameter design, and the Taguchi method", Journal of Quality Technology, Vol. 17, pp. 176-210.
40. Kahn, B.E. and Meyer, R.J. (1991), "Consumer multiattribute judgments under attribute-weight uncertainty", Journal of Consumer Research, Vol. 17 No. 4, pp. 508-22.
41. Keeney, R.L. and Lilien, G.L. (1987), "New industrial product design and evaluation using multiattribute value analysis", Journal of Product Innovation Management, Vol. 4, pp. 185-98.
42. Kentel, E. and Aral, M.M. (2004), "Probabilistic-fuzzy health risk modeling", Stochastic Environmental Research and Risk Assessment, Vol. 18, pp. 324-38.
43. Kentel, E. and Aral, M.M. (2005), "2D Monte Carlo versus 2D fuzzy Monte Carlo health risk assessment", Stochastic Environmental Research and Risk Assessment, Vol. 19, pp. 86-96.
44. Kingman-Brundage, J. (1989), "The ABCs of service system blueprinting", in Bitner, M.J. and Crosby, L. (Eds), Designing a Winning Service Strategy, American Marketing Association, Chicago, IL, pp. 30-3.
45. Koll, M. and Srinivasan, P. (1990), "Fuzzy versus probabilistic models for user relevance judgments", Journal of the American Society for Information Science, Vol. 41 No. 4, pp. 264-71.
46. Leung, W.K. and Lai, K.K. (2001), "Improving the quality of the credit authorization process: a quantitative approach", International Journal of Service Industry Management, Vol. 12 Nos 3/4, pp. 328-41.
47. Little, J.D.C. (1970), "Models and managers: the concept of a decision calculus", Management Science, Vol. 16, B466-85.
48. Lovelock, C.H. (1996), Services Marketing, Prentice-Hall, Upper Saddle River, NJ.
49. McGuire, F. (1997), "Using simulation to reduce length of stay in emergency departments", Journal of the Society for Health Systems, Vol. 5 No. 3, pp. 81-90.
50. McLaughlin, C.P. (1996), "Why variation reduction is not everything: a new paradigm for service operations", International Journal of Service Industry Management, Vol. 7 No. 3, pp. 17-30.
51. Mahoney, J. and Pandian, J.R. (1992), "The resource-based view within the conversation of strategic management", Strategic Management Journal, Vol. 13, pp. 363-80.
52. Maister, D.H. (1984), "The psychology of waiting in lines", Harvard Business Review, School Note 9-684-064 (May) 2-3, cited in Katz, K.L, Larson, B.M. and Larson, R.C. (1991), "Prescription for the waiting-in-line blues: entertain, enlighten and engage", Sloan Management Review, Winter, pp. 44-53.
53. Maxwell, R.M. and Kastenberg, W.E. (1999), "Stochastic environmental risk analysis: an integrated methodology for predicting cancer risk from contaminated groundwater", Stochastic Environmental Research and Risk Assessment, Vol. 13, pp. 27-47.
54. Mills, P.K. and Moberg, D.J. (1990), "Strategic implications of service technologies", in Bowen, D.E., Chase, R.B., Cummings, T.G. et al. (Eds), Service Management Effectiveness: Balancing Strategy, Organization and Human Resources, Operations, and Marketing, Jossey-Bass, San Francisco, CA, pp. 97-125.
55. Myers, J.H. and Alpert, M.I. (1977), "Semantic confusion in attitude research: salience vs importance vs determinance", in Perreault, W.D. Jr (Ed.), Advances in Consumer Research, Vol. 4, Association for Consumer Research, Atlanta, GA, pp. 106-9.
56. Myers, R.H., Khuri, A.I. and Vining, G.G. (1992), "Response surface alternatives to the Taguchi robust parameter design approach", The American Statistician, Vol. 46, pp. 131-9.
57. Myers, R.H., Montgomery, D.C., Vining, G.G., Borror, C.M. and Kowalski, S.M. (2004), "Response surface methodology: a retrospective and literature survey", Journal of Quality Technology, Vol. 36 No. 1, pp. 53-77.
58. National Center for Atmospheric Research (2004), The Weather and Climate Impact Assessment Science Program, National Center for Atmospheric Research, Boulder, CO, available at: www.assessment.ucar.edu/integrating/index.html (accessed 7 October 2006).
59. Nichols, N.A. (1994), "Scientific management at Merck: an interview with CFO Judy Lewent", Harvard Business Review, January/February, pp. 88-99.
60. Otto, P. and Struben, J. (2004), "Gloucester Fishery: insights from a group modeling intervention", System Dynamics Review, Vol. 20 No. 4, pp. 287-312.
61. Øvretveit, J. (1997), "A comparison of hospital quality programmes: lessons for other services", International Journal of Service Industry Management, Vol. 8 No. 3, pp. 220-35.
62. Parasuraman, A., Zeithaml, V.A. and Berry, L.L. (1985), "A conceptual model of service quality and its implications for future research", Journal of Marketing, Vol. 49 No. 4, pp. 45-50.
63. Parasuraman, A., Zeithaml, V.A. and Berry, L.L. (1994), "Alternative scales for measuring service quality: a comparative assessment based on psychometric and diagnostic criteria", Journal of Retailing, Vol. 70 No. 3, pp. 201-30.
64. Patterson, P., Johnson, L. and Spreng, R. (1997), "Modeling determinants of customer satisfaction for business to business services", Journal of the Academy of Marketing Science, Vol. 25 No. 1, pp. 4-17.
65. Pennington, N. and Hastie, R. (1988), "Explanation-based decision making: effects of memory structure on judgment", Journal of Experimental Psychology: Learning, Memory, and Cognition, Vol. 14, pp. 521-33.
66. Pullman, M.E. and Thompson, G. (2003), "Strategies for integrating capacity with demand in service networks", Journal of Service Research, Vol. 5 No. 3, pp. 169-83.
67. Rodie, A.R., Pol, L.G., Crabtree, B.F. and McIlvain, H.E. (1996), "An exploratory study of services marketing in global markets: major areas of inquiry for the health care services industry", Health Marketing Quarterly, Vol. 19 No. 2, pp. 16-24.
68. Rossetti, M.D., Trzcinski, G.F. and Syverud, S.A. (1999), "Emergency department simulation and determination of optimal attending physician staffing schedules", in Farrington, P.A., Nembhard, H.B., Sturrock, D.T. and Evans, G.W. (Eds), Proceedings of the 1999 Winter Simulation Conference, Institute of Electrical and Electronics Engineers, Piscataway, pp. 1532-40.
69. Rust, R.T., Inman, J.J. and Jia, J.M. (1999), "What you don't know about customer-perceived quality: the role of customer expectation distributions", Marketing Science, Vol. 18 No. 1, pp. 77-92.
70. Rust, R.T., Zahorik, A.J. and Keiningham, T.L. (1995), "Return on quality (ROQ): making service quality financially accountable", Journal of Marketing, Vol. 59 No. 2, pp. 58-70.
71. Saaty, T. (1977), "A scaling method for priorities in hierarchical structures", Journal of Mathematical Psychology, Vol. 15 No. 3, pp. 234-81.
72. Saaty, T. (1980), The Analytic Hierarchy Process, McGraw-Hill, New York, NY.
73. Scheuing, E.E. and Johnson, E.M. (1989), "A proposed model for new service development", The Journal of Services Marketing, Vol. 3 No. 2, pp. 25-34.
74. Schoemaker, P.J.H. and Waid, C.C. (1982), "An experimental comparison of different approaches to determining weights", Management Science, Vol. 28 No. 2, pp. 182-96.
75. Schvaneveldt, S.J. and Enkawa, T. (1992), "Variability and quality loss in services: concepts and countermeasures", Total Quality Management, Vol. 3 No. 3, pp. 233-41.
76. Shostack, G.L. (1984), "Designing services that deliver", Harvard Business Review, Vol. 62, pp. 133-9.
77. Shoval, P. and Lugasi, Y. (1987), "Models for computer system evaluation and selection", Information & Management, Vol. 12, pp. 117-29.
78. Stave, K.A. (2002), "Using system dynamics to improve public participation in environmental decisions", System Dynamics Review, Vol. 18 No. 2, pp. 139-67.
79. Stiles, R.A., Mick, S.S. and Wise, C.G. (2001), "The logic of transaction cost economics in health care organization theory", Health Care Management Review, Vol. 26 No. 2, pp. 85-92.
80. Taguchi, G. (1987), System of Experimental Design, Vol. 1/2, Quality Resources/American Supplier Institute, New York, NY/Dearborn.
81. Taguchi, G., Elsayed, E.A. and Hsiang, T. (1989), Quality Engineering in Production Systems, McGraw-Hill, New York, NY.
82. Tax, S.S. and Stuart, I. (1997), "Designing and implementing new services: the challenges of integrating service systems", Journal of Retailing, Vol. 73, pp. 105-34.
83. Tregunno, D., Ross Baker, G., Barnsley, J. and Murray, M. (2004), "Competing values of emergency department performance: balancing multiple stakeholder perspectives", Health Services Research, Vol. 39 No. 4, pp. 771-91.
84. Van Looy, B., Gemmel, P., Desmet, S., Van Dierdonck, R. and Serneels, S. (1998), "Dealing with productivity and quality indicators in a service environment: some field experiences", International Journal of Service Industry Management, Vol. 9 No. 4, pp. 358-76.
85. Vining, G.G. and Myers, R.H. (1990), "Combining Taguchi and response surface philosophies: a dual response approach", Journal of Quality Technology, Vol. 22, pp. 38-45.
86. Vose, D. (1997), Quantitative Risk Analysis: A Guide to Monte Carlo Simulation and Modelling, Wiley, Chichester.
87. Wind, Y. and Saaty, T.L. (1980), "Marketing applications of the analytic hierarchy process", Management Science, Vol. 26 No. 7, pp. 641-58.
88. Wirtz, J. and Bateson, J.E.G. (1999), "Introducing uncertain performance expectations in satisfaction models for services", International Journal of Service Industry Management, Vol. 10 No. 1, pp. 82-99.
89. Zadeh, L.A. (1965), "Fuzzy sets", Information and Control, Vol. 8 No. 3, pp. 338-53.
90. Zhao, X., Lau, R.S.M. and Lam, K. (2002), "Optimizing the service configuration with the least total cost approach", International Journal of Service Industry Management, Vol. 13 Nos 3/4, pp. 348-61.