Visitor satisfaction analysis as a tool for park managers: a review and case study

Visitor satisfaction has been an important area for leisure research since the 1960s and more recently for park management. A number of approaches have been adapted from consumer research including importance-performance analyses, gap analyses, threshold performance targets and overall satisfaction. This paper reviews these approaches with respect to park management. It then draws on focus group research with protected area agency staff to obtain their views on the usefulness and robustness of the analyses associated with these approaches. Yanchep National Park (Western Australia) was used as a case study, with the results from a recent visitor survey providing the data for satisfaction analyses. To provide a more accurate summary of the range in results, confidence intervals accompanied the results to illustrate the variation in responses. The analyses emphasize the importance for park managers of accessible, usable data on visitor satisfaction

Applying importance-performance analysis to compare the changes of a convenient store

Importance-performance analysis, Variance-based method, Service quality, Convenient store,

A latent structure factor analytic approach for customer satisfaction measurement

The linkage of customer satisfaction, customer retention, and firm profitability has been well established in the marketing literature, and provides ample justification as to why customer satisfaction measurement (CSM) has been a focal point in marketing decision making. Although aggregate market level research on understanding the determinants of customer satisfaction is abundant, CSM decisions at segment level are possible only if the individual or market segment differences in the formation of overall satisfaction judgments and subsequent heterogeneity in the role these various determinants play are understood. Based on expectancy-disconfirmation theory in customer satisfaction, we propose a maximum likelihood based latent structure factor analytic methodology which visually depicts customer heterogeneity regarding the various major determinants of customer satisfaction judgments involving multiple attributes, and provides directions for segment-specific CSM decisions. We first describe the proposed model framework including the technical aspects of the model structure and subsequent maximum likelihood estimation. In an application to a consumer trade show, we then demonstrate how our proposed methodology can be gainfully employed to uncover the nature of such heterogeneity. We also empirically demonstrate the superiority of the proposed model over a number of different model specifications in this application. Finally, limitations and directions for future research are discussed. Copyright Springer Science + Business Media, LLC 2006Customer satisfaction measurement (CSM), Market segmentation, Latent structure analysis, Finite mixture models, Factor analysis,

A case of applying importance-performance analysis in identifying key success factors to develop marketing strategies

Importance-performance analysis, Benchmarking, Key success factor, Marketing strategy,

Applying information-based methods in importance–performance analysis when the information of importance is unavailable

Importance–performance analysis, Entropy, Mutual information, Dependence, Convenient store,