Courtesy: ISO 10002: 2004 quality management customer satisfaction
As research on consumption experiences grows, evidence suggests that consumers purchase goods and services for a combination of two types of benefits: hedonic and utilitarian. Hedonic benefits are associated with the sensory and experiential attributes of the product. Utilitarian benefits of a product are associated with the more instrumental and functional attributes of the product (Batra and Athola 1990).
Customer satisfaction is an ambiguous and abstract concept and the actual manifestation of the state of satisfaction will vary from person to person and product/service to product/service. The state of satisfaction depends on a number of both psychological and physical variables which correlate with satisfaction behaviors such as return and recommend rate. The level of satisfaction can also vary depending on other options the customer may have and other products against which the customer can compare the organization’s products.
Work done by Parasuraman, Zeithaml and Berry (Leonard L) between 1985 and 1988 provides the basis for the measurement of customer satisfaction with a service by using the gap between the customer’s expectation of performance and their perceived experience of performance. This provides the measurer with a satisfaction “gap” which is objective and quantitative in nature. Work done by Cronin and Taylor propose the “confirmation/disconfirmation” theory of combining the “gap” described by Parasuraman, Zeithaml and Berry as two different measures (perception and expectation of performance) into a single measurement of performance according to expectation.
The usual measures of customer satisfaction involve a survey using a Likert scale. The customer is asked to evaluate each statement in terms of their perceptions and expectations of performance of the organization being measured.
Good quality measures need to have high satisfaction loading, good reliability, and low error variances. In an empirical study comparing commonly used satisfaction measures it was found that two multi-item semantic differential scales performed best across both hedonic and utilitarian service consumption contexts. A study by Wirtz & Lee (2003), found that a six-item 7-point semantic differential scale (for example, Oliver and Swan 1983), which is a six-item 7-point bipolar scale, consistently performed best across both hedonic and utilitarian services. It loaded most highly on satisfaction, had the highest item reliability, and had by far the lowest error variance across both studies. In the study, the six items asked respondents’ evaluation of their most recent experience with ATM services and ice cream restaurant, along seven points within these six items: “pleased me to displeased me”, “contented with to disgusted with”, “very satisfied with to very dissatisfied with”, “did a good job for me to did a poor job for me”, “wise choice to poor choice” and “happy with to unhappy with”. A semantic differential (4 items) scale (e.g., Eroglu and Machleit 1990), which is a four-item 7-point bipolar scale, was the second best performing measure, which was again consistent across both contexts. In the study, respondents were asked to evaluate their experience with both products, along seven points within these four items: “satisfied to dissatisfied”, “favorable to unfavorable”, “pleasant to unpleasant” and “I like it very much to I didn’t like it at all”. The third best scale was single-item percentage measure, a one-item 7-point bipolar scale (e.g., Westbrook 1980). Again, the respondents were asked to evaluate their experience on both ATM services and ice cream restaurants, along seven points within “delighted to terrible”.
Finally, all measures captured both affective and cognitive aspects of satisfaction, independent of their scale anchors. Affective measures capture a consumer’s attitude (liking/disliking) towards a product, which can result from any product information or experience. On the other hand, cognitive element is defined as an appraisal or conclusion on how the product’s performance compared against expectations (or exceeded or fell short of expectations), was useful (or not useful), fit the situation (or did not fit), exceeded the requirements of the situation (or did not exceed).
A single-item four-point HappyOrNot customer satisfaction feedback terminal
Recent research shows that in most commercial applications, such as firms conducting customer surveys, a single-item overall satisfaction scale performs just as well as a multi-item scale. Especially in larger scale studies where a researcher needs to gather data from a large number of customers, a single-item scale may be preferred because it can reduce total survey error. An interesting recent finding from re-interviewing the same clients of a firm is that only 50% of respondents give the same satisfaction rating when re-interviewed, even when there has been no service encounter between the client and firm between surveys. The study found a ‘regression to the mean’ effect in customer satisfaction responses, whereby the respondent group who gave unduly low scores in the first survey regressed up toward the mean level in the second, while the group who gave unduly high scores tended to regress downward toward the overall mean level in the second survey.