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This research takes Taijiang National Park (TNP) tourists as the study population while gathering the survey data via an online questionnaire. For the data analyses, it uses the importance–performance analysis (IPA) and the Kano two-dimensional quality model to evaluate the tourist satisfaction of TNP. Specifically, it considers the importance of service quality, classifies its service quality attributes, and suggests the priority for service improvement, rendering the TNP valuable reference points to realign service strategies. The study shows that the service quality attributes related to service personnel are the priority item to be improved, which could eventually enhance tourist satisfaction. In addition, brand differentiation could be achieved by improving the attractive quality items identified in this study to enhance tourist loyalty.

This study compares the applicability of the zone of tolerance (ZOT) and importance performance analysis (IPA) techniques in the evaluation of convention delegates’ perceptions of products and services. Overall, 217 out of 400 were used for analysis, providing a response rate of 54%. The study results indicated that although an IPA technique is still useful in assessing the service performance of a convention facility, IPA should be employed with caution, concrete criteria, and clear goals. The study results also showed that the ZOT is practically applicable into business practice to assess service performance item by item.

This study compares the applicability of the zone of tolerance and importance-performance analysis (IPA) techniques in the evaluation of convention delegates’ perceptions of products and services. Overall, 217 cases out of 400 were used for analysis, a response rate of 54 percent. The study results indicate that although an IPA technique is still useful in assessing the service performance of a convention facility, IPA should be employed with caution, concrete criteria, and clear goals. The study results also show that the zone of tolerance is practically applicable into business practice to assess service performance item by item.

A special event requiring little capital for development is regarded as a unique type of attractions. Art festival is a popular form among all special events, famous example including Edinburgh Festival in England. However, the literature on the measurement of successful factors of art festivals is limited. This study uses Chiayi International Band Festival for a case study to evaluate performance factors of art festivals. The performance attributes are developed based on Kotler's Three Levels of Product framework. Importance–Performance Analysis (IPA) is used to evaluate the performance attributes perceived by the visitors. Further, a SWOT analysis is deployed to provide managerial strategies and implications.

This chapter analyzes the importance and performance of values in tourism higher education and business as seen by the alumni of the European Master in Tourism Management. The students were exposed to the values-based education framework proposed by the Tourism Educational Future Initiative. This chapter empirically tests the relevance of its model for an ideal and real industry, and for the corresponding world of tourism education. Using importance performance analysis, results identify gaps between the importance and performance in the values. The findings have implications for the future development and implementation of experimental values-based education.

The role of firm attributes as a source of competitive advantage has been discussed previously in the tourism marketing strategy field. Benchmarking, a recognized learning model, is recommended as a tool to identify and improve the competitiveness of a firm. The present study employs the importance–performance analysis (IPA) to benchmark five nature- and culture-based attractions in Northern Norway. Altogether, 701 respondents participated in the on-site survey, i.e., during their vacation experiences. The present study reveals several interesting and useful managerial insights and implications for the tourist attraction industry in general as well as for the individual tourist attraction firm measured. Consequently, this study contributes to management by integrating theory and empirical data to investigate whether benchmarking, as a company learning tool, may lead to improved performance. Based on the study results, the present work suggests strategies and potential improvements for the respective tourist attractions.

The present work assesses destination and service quality attributes, in terms of exploring the stronger and weaker points within these entities. In addition, it explores the relative effect of holistic experiences of destinations and the service-specific attributes on tourists’ overall satisfaction with destinations. Building on the perception, performance, and service quality literature a survey is carried out at 5 different tourist attractions among 701 tourists from over 15 countries worldwide visiting Northern Norway. The results divulge that many destination attributes are important; however, tourists find that the destination performs correspondingly with the perceived importance of destinations. The service quality attributes are also important, but reveal a perceptual gap between importance and performance. The study finds that Northern Norway as a tourist destination should concentrate on “uniqueness” and “novelty” to enhance tourist satisfaction. Service providers are advised to keep up the good work on “giving a good impression and a nice welcome” to enhance tourist satisfaction.

The purpose of this research is to evaluate the perceptions of local tourists concerning the importance and performance of their dining experience and restaurant selection factors at tourist destinations. Five hundred forty-one questionnaires collected from a series of on-site surveys at popular tourist destinations were analyzed. The results of importance–performance analysis (IPA) illustrate that no attribute fell in the Concentrate Here quadrant; staff service, service speed, food quality, interior design, comfort, cleanliness, restaurant scent, food scent attributes, and the “food service” factor fell under the Keep up the Good Work quadrants; noise, music, new experience, price attributes, and the “servicescape” factor fell in the Low Priority quadrant; servicescape lighting fell in the Possible Overkill quadrant. In conclusion, restaurants at popular tourist destinations have done very well in most service items and seem to have reached the professional standards expected by mass tourists.

Importance-performance analysis (IPA) remains one of the lesser used quantitative techniques to analyze cultural differences in image perceptions. Therefore, this chapter analyzes differences in international visitors' image perceptions for the island of Mauritius in its key generating markets. Using the mixed method, the study identifies image attributes in a qualitative phase initially, followed by the administration of a survey instrument to a quota sample of 1,000 visitors, resulting in 705 useable questionnaires. IPA reveals the existence of significant differences between importance and performance scores on image for the whole sample as well as significant differences by nationality sub-groups. For example, Germans on average have the lowest importance scores, whereas Indians have the highest in comparison with other nationalities. For each market, the study also identifies the influence of fluency levels in main languages spoken on importance and performance scores. Using IPA, the gaps in scores reflect degrees of product customization and re-positioning that is needed for the different markets of Mauritius. Similarities in scores across nationalities suggest the universal importance of some image attributes in destination selection. The chapter contributes to the dearth of literature on cultural differences in image perceptions for island destinations.

Purpose – Revisiting Fornell et al.'s (1996) seminal study, this chapter looks at the evidence for observed and unobserved heterogeneity within data underlying the American customer satisfaction index (ACSI) model. Examining data for two specific industries (utilities and hotels) reveals only modest differences. However, we suppose that unobserved heterogeneity critically affects the results. These insights provide the basis for shaping further differentiated ACSI model analyses and more precise interpretations.

Methodology/approach – This study applies the partial least squares (PLS) path modeling method and uses empirical data to estimate and compare the ACSI model results on the aggregate and industry-specific data levels. In addition, the finite mixture PLS path modeling (FIMIX-PLS) method is employed to further examine across industry similarities and within industry differences.

Findings – This research uncovers unobserved heterogeneity that guides forming three segments of customers within each industry. The major segment in each industry represents customers that are fairly loyal (i.e., neither disloyal nor extremely loyal) while the other two smaller segments are not as similar across the two industries. Our study identifies substantial differences across these segments within each industry. An importance-performance map analysis illustrates these differences and provides the basis for managerial implications.

Originality/value of the chapter – The unobserved heterogeneity revealed within industries in a given country (i.e., the United States of America) underlines the need to be open to differences within populations, beyond the observed heterogeneity across distinct groups or cultures, and the need to reconsider reporting requirements in academic research.