Search results

Customer satisfaction continues to be an important topic in the financial services industry. However, there is an increasing awareness that customer satisfaction as such is not enough. Distinguishes between overall satisfied customers and latently dissatisfied customers; the latter being those customers who, although reporting satisfaction in a survey, have other characteristics (i.e. satisfaction with specific service items and/or socio‐demographic characteristics) that resemble dissatisfied customers. The identification of these latently dissatisfied customers may function as an early warning signal. Indeed, their probability to defect is relatively high and can be compared to that of dissatisfied customers. Proposes a data mining technique called “characteristic rules” to identify latently dissatisfied customers of a Belgian bank. Appropriate marketing actions (dissatisfaction management) may help to avoid these customers leaving. Therefore, the objective of this study is to provide scholars and business managers with theoretical, methodological and managerial insights into identifying latently dissatisfied customers.

The purpose of this study is to analyze online hotel reviews produced by customers to identify and compare factors known as satisfiers and dissatisfiers based on Herzberg’s two-factor theory. This approach was applied to compare full-service and limited-service hotels, which can show different levels of customer expectation.

A content analysis of 919 satisfaction- and dissatisfaction-indicating reviews of 100 hotels in both full-service and limited-service hotel segments in New York City on Trip Advisor was conducted.

Results show that satisfiers and dissatisfiers in full-service hotels were distinct, with the exception of two common service-related factors, namely, “staff and their attitude” and “service”. On the other hand, “staff and their attitude” and four room facilities-related factors, “room cleanliness/dirtiness”, “bed”, “bathroom” and “room size”, were revealed as common satisfiers and dissatisfiers in limited-service hotels. To fulfill customer satisfaction and resolve dissatisfaction in both full-service and limited-service hotels, satisfiers and dissatisfiers should be highlighted according to the hotel class; the most critical factor is “staff and their attitude”.

Analysis of online hotel reviews provides understanding of customers’ satisfiers and dissatisfiers, and the results are very useful to hotel management. Therefore, hotel operators should monitor electronic word-of-mouth, recognizing and acting upon previous and current customers’ satisfactory and unsatisfactory reactions.

As technologies such as social media develop, customers are increasingly sharing their satisfactory and unsatisfactory experiences on consumer-generated online review sites. These have become a major source of information not only for customers deciding on a hotel stay but also for hotel managers trying to understand their customers and competitors.

Very little prior research has analyzed the behavior of dissatisfied consumers who complain to the Better Business Bureau (BBB). Therefore, interviews were conducted with dissatisfied consumers who filed complaints with the BBB against companies in three industries – auto dealers, dry cleaners, and home construction. The results reveal significant gaps between dissatisfied consumers’ resolution preferences and companies’ resolution offers. Further, the results highlight the highly negative word‐of‐mouth communication activity and repeat purchase intentions of dissatisfied consumers who complain to the BBB. Based on these data, complaint resolution recommendations are provided to improve customer service managers’ handling of dissatisfied consumers.

Whether they can legitimately be described as virtuosi or one man (sic) bands, information professionals working in isolation have become something of a cause célèbre recently. This study looks first at their contribution to the collection, analysis, synthesis and dissemination of information in a single field — that of employment studies. Then, using the test of relative job satisfaction as a function of effectiveness, the characteristics, problems and satisfactions of the workers themselves are examined. The present work is based on two reports of a survey undertaken on behalf of the British Library Research and Development Department in 1983.

This article is a proposal and aims to be a first step to develop a method to evaluate and classify environmental noise, according to EN‐15251 and CR‐1752, in the built environment based on the percentage of dissatisfied related to the equivalent background noise level.

In the European guideline CR‐1752 and the standard EN‐15251 three categories of the indoor environment in buildings are prescribed (category A, B and C). In the recommendations, the limit whereby the percentage of dissatisfied should remain under varies in each category for both the thermal indoor environment and the air quality. The categories for noise and illumination criteria are not yet explicitly related to a percentage of dissatisfied.

Using the percentage of dissatisfied as the evaluation criterion, when related to the equivalent background noise, produces a more refined evaluation of comfort than an evaluation based on the percentage of seriously disturbed or the effects of sleep deprivation in relation to external noise. Furthermore, this corresponds to the European standards and recommendations concerning quality classification of the indoor environment, based on the percentage of dissatisfied.

Based on recent European undertakings concerning the development of categories for the indoor environment based on the percentage of dissatisfied, it is desirable to utilise these categories to noise aspects too, and to relate it to the equivalent background noise level.

Few scholars have so far explored how healthcare service quality affects patient dissatisfaction, leading to negative behavior responses when a healthcare service fails. The purpose of this paper is to examine how different service quality attributes affect patient dissatisfaction leading to a variety of asymmetric negative behavior responses.

Following a survey of 453 dissatisfied outpatients in Korea, structural equation modeling with a series of post hoc analyses is used to test the research model. It consists of five hypotheses.

Outcome quality is found to be the most significant variable affecting patient dissatisfaction, followed by administrative quality, interactive quality, and environmental quality. Dissatisfied patients tend to engage more in active behaviors (e.g. negative word-of-mouth, switching, and complaining) than in remaining passive in a non-linear way. Also, the mediating role of dissatisfaction is found to be significant.

This paper has empirically identified the most significant service quality attributes that lead to dissatisfied patients and negative behaviors on their part. These findings indicate that different quality attributes of service failure lead to different actions. However, this study has suffered from a few limitations as a result of its research context and scope.

This paper is one of the very few empirical studies examining the relationships among the output and process quality attributes, patient dissatisfaction, and actual behaviors in a healthcare service failure context.

Venting negative emotions on social networking sites (SNS) has become a growing phenomenon among dissatisfied customers. Drawing on social cognitive theory (SCT), the purpose of this paper is to explore the effects of personal outcome expectations and computer self-efficacy on the posting of negative behavior and its impact on venting negative emotions on SNS.

Structural equation modeling was conducted, and 342 dissatisfied customers in Taiwan made up the sample.

This study found that both personal outcome expectations and computer self-efficacy positively affect the posting of negative behavior, which increases the effect of venting negative emotions. Moreover, gender moderates the relationships between the variables in the proposed model.

A bias may exist because sampling was conducted through an online survey on a specific website. This study extended the SCT model by adding the effect of venting negative emotions to the original model and suggested that researchers take gender into consideration when developing consumer complaint theories.

This study suggested that service providers need to detect negative statements and take action before these statements lead to switching behavior among dissatisfied customers. Moreover, “webcare” is recommended as an effective tool to counter negative comment effects among those exposed to complaints on SNS.

This study advanced the understanding of SCT for dissatisfied customers posting negative experiences in the context of SNS.

The purpose of this study is to provide a unique competitive advantage to businesses in providing a wide range of products to prospective customers. To the best of the author’s knowledge, there is no study to discuss the impact of customer-centric retailing on total supply chain profit under price competition between organized and unorganized retailers.

This paper considers a supply chain comprising of organized and unorganized retailers and a single manufacturer. This paper proposes three mathematical models considering a customer-centric approach in a competitive environment. Stackelberg game is used to examine how members of the chain interact, and Nash equilibrium was used to find optimal strategies for players under different customer-centric approaches.

The results show that the total supply chain profit is higher when both organized and unorganized retailers use a customer-centric approach independently instead of collaborating process. The result, in addition, establishes that when the dissatisfying cost exceeds a certain threshold (1.5), the total profit is higher for the organized customer-centric effort model compared to the other two models.

The main contribution of the study is to examine the effect of customer-centric retailing, considering dissatisfying costs on supply chains profit and individual decision-making under price competition between organized retailers and unorganized retailers. The authors developed different mathematical models in the different customer-centric approach.

This paper aims to investigate the satisfaction of dealers with their suppliers in the agricultural machinery sector.

A dummy approach of the three‐factor model is used to detect the dimensions that influence the overall satisfaction of agricultural machinery dealers. The model considers satisfiers, dissatisfiers and so‐called performance factors that might lead to both satisfaction and dissatisfaction.

Two dissatisfiers, after‐sales and service methods and relationship with supplier, are detected. Furthermore, there is one satisfier, competitive outlook, and one performance factor, the product program.

The dummy approach detects the three factors implicitly. A Kano‐questionnaire might be helpful to confirm the results.

Producers should first fulfill the factors that have the highest negative impact: product program, followed by after‐sales and service methods and relationship with supplier. After reaching a specific level within these factors, producers could seek to increase their dealers' satisfaction with the two factors, product program and competitive outlook. The product program thus represents the key factor for producers seeking to both decrease dissatisfaction and increase satisfaction.

While different approaches of the three‐factor model are used along with customer satisfaction, this paper is the first to detect different factors of dealer satisfaction in the agricultural machinery sector.

Based on the proposition that deprivation of control is a key instigator of attribution thoughts, this study explores cross‐national variations in consumers' formation and consequences of attributions on dissatisfying service encounters. We hypothesize that variations in the stage of economic development and the cultural dimension of long‐term versus short‐term orientation affect consumers' perceived level of control in and attributions of dissatisfying service encounters, and the relative effects of various attribution dimensions (including locus, controllable‐by‐organization, and stability) on consumers' switching intentions. Results obtained from a cross‐national survey show that compared to PRC consumers, Canadian consumers experience more deprivation of control in dissatisfying service encounters and exhibit stronger self‐serving biases in forming attributions about their dissatisfying service experiences. Moreover, the controllable‐by‐organization dimension (i.e. whether the problems of the service encounter could be controlled by the service firm) is found to have a stronger effect on the switching intentions of Canadian consumers than that of PRC consumers, while the opposite is found for the stability dimension (i.e. whether the same problem would recur in experiences with the service firm). Managerial implications for multinational service firms, particularly in terms of service recovery strategy for Chinese and Western consumers, are discussed.