Perceptions of Services

Much recent research has examined the differences between goods and services, but less empirical work has been done investigating differences among services. In this paper, we focus solely on services: through the use of multidimensional scaling, subjects' perceptions are used to infer dimensions that are relevant to consumers in differentiating consumer services. Subjects rated the similarity between pairs of a variety of services, which ranged from simple services to professional services. Attributes of services discussed in the literature assisted interpretation of the dimensions. We suggest several theoretical conclusions, as well as managerial and educational implications.

[1]  P. Danaher,et al.  Customer Satisfaction during the Service Delivery Process , 1994 .

[2]  P. Arabie,et al.  Overlapping Clustering: A New Method for Product Positioning , 1981 .

[3]  R. Shepard.  The analysis of proximities: Multidimensional scaling with an unknown distance function. II , 1962 .

[4]  Peter Mudie,et al.  The management and marketing of services , 1993 .

[5]  M. Aldenderfer.  Cluster Analysis , 1984 .

[6]  Peter H. Schönemann,et al.  Alternative measures of fit for the Schönemann-carroll matrix fitting algorithm , 1974 .

[7]  J. W. Hutchinson.  Netscal: A network scaling algorithm for nonsymmetric proximity data , 1989 .

[8]  Lee G. Cooper.  A Review of Multidimensional Scaling in Marketing Research , 1983 .

[9]  John A. Czepiel,et al.  A role theory perspective on dyadic interactions: The service encounter. , 1985 .

[10]  Christian Grönroos,et al.  Service Management and Marketing: Managing the Moments of Truth in Service Competition , 1992 .

[11]  P. Schönemann,et al.  Fitting one matrix to another under choice of a central dilation and a rigid motion , 1970 .

[12]  L. Tucker.  A METHOD FOR SYNTHESIS OF FACTOR ANALYSIS STUDIES , 1951 .

[13]  Mary Jo Bitner,et al.  Evaluating service encounters: The effects of physical surroundings and employee responses. , 1990 .

[14]  Deborah F. Swayne,et al.  A weighted procrustes criterion , 1991 .

[15]  J. Berge,et al.  Minimization of a class of matrix trace functions by means of refined majorization , 1992 .

[16]  K. B. Murray,et al.  The impact of services versus goods on consumers’ assessment of perceived risk and variability , 1990 .

[17]  Willem J. Heiser,et al.  Resistant orthogonal procrustes analysis , 1992 .

[18]  Ajay K. Manrai,et al.  A New Multidimensional Scaling Methodology for the Analysis of Asymmetric Proximity Data in Marketing Research , 1992 .

[19]  R. Ross.  Optimum orders for the presentation of pairs in the method of paired comparisons. , 1934 .

[20]  K. J. Blois,et al.  The structure of service firms and their marketing policies , 1983 .

[21]  P. Schönemann,et al.  A generalized solution of the orthogonal procrustes problem , 1966 .

[22]  J. Kruskal.  Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis , 1964 .

[23]  Cyril Burt,et al.  THE FACTORIAL STUDY OF TEMPERAMENTAL TRAITS , 1948 .

[24]  John E. G. Bateson,et al.  Managing Services Marketing: Text and Readings , 1989 .

[25]  Catherine A. Cole,et al.  Services Marketing: Principles and Practice , 1995 .

[26]  Amy L. Ostrom,et al.  Gender differences in the impact of core and relational aspects of services on the evaluation of service encounters , 1993 .

[27]  N. Cliff.  Orthogonal rotation to congruence , 1966 .

[28]  V. Zeithaml,et al.  A Dynamic Process Model of Service Quality: From Expectations to Behavioral Intentions , 1993 .

[29]  Joseph L. Zinnes,et al.  Theory and Methods of Scaling. , 1958 .

[30]  L. Berry,et al.  Emerging perspectives on services marketing , 1983 .

[31]  S. C. Johnson.  Hierarchical clustering schemes , 1967, Psychometrika.

[32]  John A. Hartigan,et al.  Clustering Algorithms , 1975 .

[33]  Lawrence A. Crosby,et al.  Effects of Relationship Marketing on Satisfaction, Retention, and Prices in the Life Insurance Industry , 1987 .

[34]  Linda L. Price,et al.  Going to Extremes: Managing Service Encounters and Assessing Provider Performance , 1995 .

[35]  David Carson,et al.  The Marketing of Services: Managing the Intangibles , 1985 .

[36]  Paul E. Green,et al.  Multidimensional Scaling: Concepts and Applications , 1989 .

[37]  V. Zeithaml.  How Consumer Evaluation Processes Differ between Goods and Services , 1981 .

[38]  J. Kruskal.  Nonmetric multidimensional scaling: A numerical method , 1964 .

[39]  Melanie Wallendorf,et al.  "We Gather Together": Consumption Rituals of Thanksgiving Day , 1991 .

[40]  Donna L. Hoffman,et al.  Constructing MDS Joint Spaces from Binary Choice Data: A Multidimensional Unfolding Threshold Model for Marketing Research , 1987 .

[41]  V. Zeithaml.  Delivering Quality Service , 1990 .

[42]  Michael R. Solomon,et al.  Predictability and Personalization in the Service Encounter , 1987 .

[43]  P. Nelson.  Information and Consumer Behavior , 1970, Journal of Political Economy.

[44]  M. Darby,et al.  Free Competition and the Optimal Amount of Fraud , 1973, The Journal of Law and Economics.

[45]  Amy L. Ostrom,et al.  Consumer Trade-Offs and the Evaluation of Services , 1995 .

[46]  J. Chang,et al.  Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .

[47]  Forrest W. Young.  Multidimensional Scaling: History, Theory, and Applications , 1987 .

[48]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[49]  Ab Mooijaart,et al.  A general solution of the weighted orthonormal procrustes problem , 1990 .

[50]  James H. Donnelly,et al.  Marketing of services , 1981 .