Consumer evaluation of complaint handling in the Dutch health insurance market
© Wendel et al; licensee BioMed Central Ltd. 2011
Received: 1 February 2011
Accepted: 15 November 2011
Published: 15 November 2011
How companies deal with complaints is a particularly challenging aspect in managing the quality of their service. In this study we test the direct and relative effects of service quality dimensions on consumer complaint satisfaction evaluations and trust in a company in the Dutch health insurance market.
A cross-sectional survey design was used. Survey data of 150 members of a Dutch insurance panel who lodged a complaint at their healthcare insurer within the past 12 months were surveyed. The data were collected using a questionnaire containing validated multi-item measures. These measures assess the service quality dimensions consisting of functional quality and technical quality and consumer complaint satisfaction evaluations consisting of complaint satisfaction and overall satisfaction with the company after complaint handling. Respondents' trust in a company after complaint handling was also measured. Using factor analysis, reliability and validity of the measures were assessed. Regression analysis was used to examine the relationships between these variables.
Overall, results confirm the hypothesized direct and relative effects between the service quality dimensions and consumer complaint satisfaction evaluations and trust in the company. No support was found for the effect of technical quality on overall satisfaction with the company. This outcome might be driven by the context of our study; namely, consumers get in touch with a company to resolve a specific problem and therefore might focus more on complaint satisfaction and less on overall satisfaction with the company.
Overall, the model we present is valid in the context of the Dutch health insurance market. Management is able to increase consumers' complaint satisfaction, overall satisfaction with the company, and trust in the company by improving elements of functional and technical quality. Furthermore, we show that functional and technical quality do not influence consumer satisfaction evaluations and trust in the company to the same extent. Therefore, it is important for managers to be aware of the type of consumer satisfaction they are measuring when evaluating the handling of complaints within their company.
The new Dutch healthcare system, launched on January 1st 2006, is being constantly scrutinized by policy makers and researchers from various industrialized countries [1–5]. Central to the new healthcare system is the concept of managed competition, which combines competition between health insurers and providers of health care with regulation such as the obligation for insurers to accept all applicants for the basic insurance package. The new system consists of universal health care coverage, the individual mandate, combined with an optional private supplementary insurance.
In this new system, the health insurer and the individual Dutch citizen have taken on new roles. Health insurers are responsible for negotiating with care suppliers about the quality of care provided to their clients as well as about the price of care. Furthermore, health insurers have the freedom to selectively contract care suppliers if a care provider does not fulfil the quality standards or if prices are too high [6, 7]. Individuals in the Netherlands are required to purchase a basic insurance package from a healthcare insurer of their choice and have the option of purchasing supplementary insurance for additional healthcare not included in the basic insurance package, either from that same insurer or a different one.
In addition to being free to choose whichever healthcare insurer one would like, consumers are also able to change their insurance plan or even switch their insurer every year if they are dissatisfied with the service offered or can get a better offer elsewhere. Reitsma-van Rooijen, Brabers and de Jong  show that consumers' satisfaction with the service of their current insurer is an important factor to stay insured with that insurer. In the Netherlands, consumers are able to rate the service quality of their health insurer on various aspects and this information is publicly available on the Internet (e.g., http://www.kiesbeter.nl or http://www.independer.nl). A study investigating a number of service quality aspects (e.g., if clients are treated with courtesy or if they received the right information) of 13 Dutch insurance companies consisting of 31 labels illustrates that the health insurer fulfils most of the service aspects at all times . This study also includes an overall rating of health insurers by their enrolees, which illustrates that health insurers are rated high (between 7.5 - 8.5 on a scale from 1 to 10 where 10 is the highest score).
Thus, the focus on consumers is one key element of this new system. This in turn has consequences for the healthcare insurance market since insurers are now confronted with intensified competition [3–5]. Insurers compete on the premium of the insurance package and the service they are offering . Consequently, service quality and consumer satisfaction are becoming increasingly important issues for healthcare insurers. They need to develop and maintain a good relationship with their customers and to differentiate themselves from competitors.
Also, the trust that customers have in their healthcare insurer is a crucial element and contributes to maintaining lasting relationships . There has been increased attention of trust in the context of healthcare and specifically trust of enrolees towards their health insurer in the Netherlands [12, 13]. Satisfaction and trust are thus two key marketing related factors that companies can focus on to build successful long-term relationships with its customers.
The effective management of complaints is a particularly challenging aspect in managing the quality of the service. Smith and Bolton [14, 15] stated that handling complaints effectively can even increase consumer satisfaction beyond the level before the failure occurred. Despite the fact that companies seem to be aware of the significance of effective handling of complaints, there is plenty of evidence across various industries that companies' management of complaints is poor [16–18]. As Estelami  points out, about half of the complaining customers are not content with the way their complaints are handled. Also Friele and Sluis , who investigated the situation in hospitals, point out that in health care many patients are dissatisfied with the way their complaints are handled. Regarding trust, most studies have specifically focused on the relationship between trust towards their health insurer and selective contracting and channelling of enrolees towards healthcare providers . Yet, little consideration has been given to the relationship between trust and service quality of health insurers in a complaint handling situation, which is also relevant for other countries that have adapted a system of managed competition.
Therefore, the focus of our study is twofold. First, we test a model showing the impact of the quality of service on consumer complaint satisfaction evaluations and trust in a company in the context of the Dutch health insurance market. Second, we extend this model by hypothesizing about the relative effects of the quality of service on consumer complaint satisfaction evaluations and trust in a company.
Medical practitioners, like private sector managers, as well as academics highlight the importance of effectively handling consumer complaints, as part of the service being offered. This strongly affects customer or patient satisfaction [19, 20] and in turn the profitability of a company . Furthermore, there is evidence in literature that the quality of service is an important determinant of customer satisfaction [14, 22–24]. The concept of service quality has been explored extensively in the literature and various models have emerged . One of the most prominent models is the functional and technical quality framework by Grönroos . According to this model, service quality consists of two dimensions, functional quality and technical quality. Functional quality refers to how the service is being delivered. In particular, it refers to how customers perceive the interaction as well as the fairness of the process during service delivery [24, 27]. Functional quality covers, for instance, the responsiveness of the company to a customer's complaint and the friendliness of the service personnel. Technical quality addresses the what question and reflects customers' perceptions of the outcome they receive such as refunding money or the cleanliness of a hotel room .
Justice theory, which predicts consumers' reactions to conflict situations (e.g., filing of a complaint) provides additional support for this model. Justice theory puts forward that people want to be treated fairly with respect to the outcome they receive as well as the interaction and the process they experience. Since one can interpret these different types of justice as quality dimensions of complaint management  we also rely on justice theory literature in this paper.
Complaint satisfaction evaluations
Trust in the company
We investigate trust in the company (after complaint handling) as a third important outcome variable. Whereas satisfaction with the company is based on past experiences, trust is a concept measuring more expectations about how the other party will perform in the future [29, 30]. Existing research illustrates the importance of trust as an influential driver for building successful long-term relationship between a company and its customers and also for driving profitability of a company [11, 31]. Studies also show that satisfaction with the service being offered directly effects customers' trust in the company [11, 32]. We define trust as 'customers' confidence in an exchange partner's reliability and integrity'  and 'can be relied on to deliver on its promises' .
Theory and hypotheses
Main effects of quality dimensions on consumer satisfaction evaluations
We apply the functional and technical framework and put forward the view that functional and technical quality affect evaluations of consumer satisfaction. Several studies provide evidence that functional and technical quality directly influence consumer complaint satisfaction as well as overall satisfaction with the company [23, 34]. Maxham and Netemeyer  for instance, explored the effects of consumers' perceived justice with the recovery following a banking service failure, on consumer complaint satisfaction and found support for these effects. Lassar and his coauthors  compared the most prominent concepts of service quality in the private banking sector and found evidence that functional and technical quality are reliable in predicting overall satisfaction. Therefore, we hypothesize:
H1: Functional quality and technical quality positively influence (a) consumer complaint satisfaction and (b) consumer overall satisfaction with the company.
Main effects of quality dimensions on trust in the company
In addition to measures of consumer satisfaction, we also expect to find a relationship between functional and technical quality in the trust felt in a company. As mentioned, the importance of trust in a company is highlighted as a key contributor to maintaining valuable long-term relationships with customers [11, 31]. The importance of service quality dimensions as drivers for building these trusting long-term relationships as well as a means for differentiation from competitors has been stressed in literature . For example, the effects of functional and technical quality on the trust in the adviser of financial planning services have been explored in previous research . They found that the greater the effect of functional and technical quality, the stronger the trust. Thus, we argue that this relationship also holds true in the context of our study; if consumers perceive a high functional and technical quality regarding complaint handling, then they will also have more trust in the company. This leads to the following hypothesis:
H2: Functional quality and technical quality positively influence trust in the company.
Relative effects of quality dimensions on consumer satisfaction evaluations
We also expect that there will be a difference in the size of the effect between the two service quality dimensions and measures of consumers' satisfaction. It has been documented in literature that functional elements of the service are mostly related not only to a specific transaction that took place during service delivery, such as handling a complaint, but also capture the perception consumers have of a company over a longer period of time [23, 35]. Yet, elements of the service related to the outcome, that is the technical quality, are more related to a specific transaction that took place, for example the last service failure . Based on this theoretical approach, we expect that functional quality is a better predictor for capturing overall consumer satisfaction, whereas technical quality is better for measuring satisfaction when referring to a specific transaction (i.e., consumer complaint satisfaction). Therefore, we hypothesize that:
H3a: There will be a stronger effect of functional quality as compared to technical quality on consumer overall satisfaction.
H3b: There will be a stronger effect of technical quality as compared to functional quality on consumer complaint satisfaction.
Relative effects of quality dimensions on trust
Moreover, we expect in the specific service context we are investigating, that functional quality will be a better predictor of trust in the company than technical quality. It has been documented in literature that the service context, for example a service with low versus high contact, might have an influence on the effect of functional and technical quality on trust in a company . A reason might be that the outcome for some services might be difficult to evaluate by consumers and therefore, consumers focus more on the functional elements of service delivery. This rationale might also be valid for the setting of our study. Specifically, consumers might have difficulties evaluating the fairness of the outcome of their complaint, and as a result might pay more attention towards the functional elements, as they appear more pertinent when evaluating the company.
H4: There will be a stronger effect of functional quality as compared to technical quality on consumer trust in the company.
Design of the study
Our empirical study was undertaken among members of a large health insurance panel in the Netherlands. The panel was set up in 2006 by the Netherlands Institute for Health Services Research in co-operation with one of the biggest healthcare insurers in the Netherlands. At the time this study was undertaken the panel consisted of about 7600 members. On average, panel members are invited three times a year to participate in research, which is related to various topics in the field of health care. Here, the study population consisted of members who had complained to their healthcare insurer within the last 12 months at the time this study was undertaken. Since these complaints were registered at the insurance company, we matched respondents that had filed a complaint with their insurer with members of the health insurance panel.
Sample composition (n = 150)
Number of years insured at insurer*
Between 2-4 years
Between 5-10 years
> 10 years
The data were collected by means of a postal questionnaire. The protection of the collected data from the insurance panel was laid down in privacy regulations, safeguarding ethical consent, and registered by the Dutch Data Protection Authority (nr. 1309664). The questionnaire contained multi-item measures adopted from existing studies to measure the core variables. Furthermore, the questionnaire was administered in Dutch. Here, we made use of a double-back translation procedure by a qualified translator. Some of the items had to be slightly adapted to suit the context of our research.
Scale items and descriptives for construct measures (N = 126 for factor 1-3, N = 101 for factors 4 and 5)*
Average variance extracted
Factor 1 Complaint satisfaction
I was satisfied with the complaint handling of company X**
I had a positive experience when complaining to company X
I am not satisfied with the handling of my complaint (R)†
Factor 2 Overall satisfaction with company
Overall, to purchase a healthcare insurance from company X was a good decision
Overall, I am satisfied with company X
Overall, so far, I have had positive experiences with company X
Factor 3 Trust in the company
Company X is an organization that can be trusted at all times
Company X is an organization that is honest and truthful
Company X is an organization that can be counted on to do what is right
I have confidence in company X as an organization
Factor 4 Functional quality
The employee understood exactly my problem
The employee treated me in a courteous manner
The employee was honest in dealing with me during the encounter
The employee seemed to be interested in my problem
The employee seemed concerned about my problem
Company X responded quickly to my complaint
Company X gave me the opportunity to explain my point of view of the problem
Overall, the company's complaint handling procedure was fair
Factor 5 Technical quality
The outcome I received was fair
Given the inconvenience caused by the complaint, the outcome I received from company X was fair
The outcome I received was right
Correlation matrix of constructs
Overall satisfaction with company
Trust in the company
Overall satisfaction with company
Trust in the company
Three separate regression analyses to test the hypotheses
(n = 126)
(n = 124)
Trust in company
(n = 127)
Total variance (R2) explained
R2 = 76% p < 0.001
R2 = 32% p < 0.001
R2 = 43% p < 0.001
Lastly, we included age, sex, and length of the relationship between client and insurer as control variables in the regression analyses. The inclusion of these variables did not affect the results and we also did not find any significant effect of these variables on consumers' satisfaction evaluations and trust in the company.
Since technical quality does not have a direct effect on overall satisfaction, we explored further if complaint satisfaction might be mediating the relationship between technical quality and overall satisfaction. We followed the approach as suggested by Baron and Kenny  to test for mediation. First, we regressed overall satisfaction on technical quality only. The estimates show that technical quality is now significant (p < 0.001). Second, we regressed complaint satisfaction with technical quality and we also found a significant effect (p < 0.001). Lastly, we regressed overall satisfaction on technical quality and complaint satisfaction and found that there is no effect of technical quality on overall satisfaction when controlling for complaint satisfaction. Thus, we can conclude that complaint satisfaction acts as a mediator between technical quality and overall satisfaction. We followed the same approach to explore if complaint satisfaction might be mediating the relationship between functional quality and overall satisfaction. We do not find support for this mediation. This illustrates that an increase in overall satisfaction can be achieved by improving functional quality directly.
Overall, the proposed conceptual model to investigate consumers' evaluation of complaint handling in the health insurance market is supported by our data.
More specifically, we find support for all but one of the main effects as put forward in hypotheses H1 and H2. Namely, technical quality has no effect on overall consumer satisfaction. We did anticipate that functional quality would be a better predictor of overall satisfaction as compared to technical quality based on the argument that consumers evaluate elements of functional quality not only for a specific transaction, but for various transactions over a longer period. Yet, the fact that technical quality does not have any effect on overall satisfaction might be specific to the context of complaint management, a situation in which a consumer contacts a company to resolve a specific issue. Therefore, consumers might be particularly focused on the specific outcome they received and not on judging the company as a whole. Moreover, we found that functional and technical quality have a positive impact on trust in the company (H2). Thus, by focusing and improving elements of functional and technical quality, managers can increase consumers' trust in the company. This is important, since research has shown that consumers who trust a company show it more commitment and in turn intend to remain a customer . Thus, by improving elements of technical and functional quality, managers can increase consumers' trust in their company and in turn focus on building long-term relationships with customers, which is crucial in a competitive market. The results illustrate that elements of the functional and technical quality of service delivery during the handling of complaints are crucial if managers are to improve complaint satisfaction, as well as trust in the company. Yet, overall satisfaction with the company seems only to be affected by functional elements.
In addition to direct effects, we hypothesized that there is a difference between functional and technical quality in the degree of the effect on satisfaction measures (H3). This is suggested by our data. Functional quality has a stronger effect on overall satisfaction than technical quality and technical quality has a stronger effect on complaint satisfaction than functional quality. These findings are theoretically and managerially relevant since they provide evidence that there is a difference between complaint satisfaction and overall satisfaction. Therefore, it is crucial to know what a company is interested in. Does the company focus on improving complaint satisfaction or overall satisfaction with the company, or both? This in turn has consequences for the measurement of satisfaction. Therefore, one might conclude that there is no effect of technical quality on consumer satisfaction in general. However, it is only long-term measures of satisfaction, that is cumulative transaction with a company over a period of time, that do not seem to be affected by the technical quality of the service delivered, in other words the handling of the complaint. Yet, technical quality indirectly affects the overall satisfaction through complaint satisfaction, thus making it critical to focus too on the elements of technical quality when dealing with consumer complaints. Lastly, we found that functional quality has a stronger effect on trust in the company than technical quality (H4). Again, this result might be specific to the context of our study. It might be difficult for consumers to evaluate fully the outcome of their complaint, for instance as compared to a product which does not work anymore and thus consumers might focus more on functional aspects such as the friendliness of the personnel. These results are relevant to managers for improving the aspects of functional as well as technical quality; a company is able to improve its complaint satisfaction, overall satisfaction and trust in the company.
Regarding functional elements, both, how a complaint is being handled, that is the time it takes to process, and how complainants are treated, for example staff friendliness, are aspects for managers to investigate and perhaps adjust in their procedure for handling a complaint. With respect to technical quality, it might be harder for companies to do something directly related to the outcome of a specific complaint. For example if a customer complains that the costs of treatment are not reimbursed and the company concludes that the customer is not insured, and therefore not reimbursed for this specific treatment, then there is nothing that can be done regarding the technical quality of the complaint. Yet, managers can evaluate the cause of customers' complains in such cases. There could for instance be a communication problem. For instance, customers might not be properly informed. As a result, investigating the cause of complaints is crucial.
We are also aware of the limitations of this study and recognize avenues for future research. First, we asked for respondents' evaluations retrospectively, that is based on a complaint made up to 12 months ago. We are aware that respondents' recall may be biased. Future research could restrict research to within six months  of the complaint or even have companies try to get in contact with consumers immediately after a complaint has been handled. Furthermore, we focus on two dimensions of service quality, while there are additional variables that might affect consumer satisfaction. For instance, how serious the complaint is might play an important role and might affect the relationship between dimensions of service quality and measures of satisfaction. Moreover, in addition to consumer satisfaction and trust measures, other relevant outcome variables of service quality should be addressed in future studies. For instance, word-of-mouth, loyalty, and commitment might be important variables worth investigating. This study focused on consumers' evaluation of complaint handling without focusing on companies' guidelines for dealing with complaining customers. Future research could investigate the specific procedures for handling complaints. For example, it could investigate specific guidelines either for dealing with the outcomes of complaints or how employees deal with customers. We expect that these procedures have a direct impact on consumers' service quality evaluations and eventually their complaint satisfaction evaluations.
Overall, we found support for our model of consumers' evaluation of complaint handling in the health insurance market. Specifically, we illustrate that managers who focus on functional as well as technical quality are able to improve the company's complaint satisfaction, overall satisfaction and trust in the company. In this study we also show that the size of the effect of functional and technical quality on complaint satisfaction, overall satisfaction with the company, and trust in the company differ. Therefore, it is crucial for managers to be precise about the type of complaint satisfaction evaluation they are interested in.
- Enthoven AC, van de Ven WPMM: Going Dutch - Managed-competition health insurance in the Netherlands. N Engl J Med. 2007, 357: 2421-2423. 10.1056/NEJMp078199.View ArticlePubMedGoogle Scholar
- de Jong JD, Brink-Muinen A, Groenewegen PP: The Dutch health insurance reform: switching between insurers, a comparison between the general population and the chronically ill and disabled. BMC Health Serv Res. 2008, 8: 58-10.1186/1472-6963-8-58.View ArticlePubMedPubMed CentralGoogle Scholar
- Knottnerus JA, ten Velden GHM: Dutch doctors and their patients - Effects of health care reform in the Netherlands. N Engl J Med. 2007, 357: 2424-2426. 10.1056/NEJMp0707383.View ArticlePubMedGoogle Scholar
- Seddon N: Is the future Dutch?. The Lancet. 2008, 372: 103-104. 10.1016/S0140-6736(08)61016-8.View ArticleGoogle Scholar
- van de Ven WPMM, Schut FT: Universal mandatory health insurance in the Netherlands: a model for the United States?. Health Affairs. 2008, 27: 771-781. 10.1377/hlthaff.27.3.771.View ArticlePubMedGoogle Scholar
- Boonen LHHM, Schut FT: Sturing op de zorgmarkt. Economisch Statische Berichten. 2006, 91: 226-228.Google Scholar
- Varkevisser M, Polman N, Van der Geest SA: Zorgverzekeraars moeten patiënten kunnen sturen. Economisch Statische Berichten. 2006, 91: 38-40.Google Scholar
- Reitsma-van Rooijen M, Brabers A, deJong JD: Bijna 8% wisselt van zorgverzekeraar. Premie is de belangrijkste redden om te wisselen. 2011Google Scholar
- Donselaar CG, de Boer D, van der Hoek L, Booij JC, Rademaker J, Hendriks M: Ervaringen van verzekerden met de zorg en de zorgverzekeraars: CQ-index zorg en zorgverzekering, meting 2010. 2010, UtrechtGoogle Scholar
- Hendriks M, Spreeuwenberg P, Rademakers J, Delnoij DMJ: Dutch healthcare reform: did it result in performance improvement of health plans? A comparison of consumer experiences over time. BMC Health Serv Res. 2009, 9: 167-10.1186/1472-6963-9-167.View ArticlePubMedPubMed CentralGoogle Scholar
- Eisingerich AB, Bell SJ: Perceived service quality and customer trust. Journal of Services Research. 2008, 10: 256-268. 10.1177/1094670507310769.View ArticleGoogle Scholar
- Boonen LHHM, Schut FT: Zorgverzekeraars kampen met vertrouwensprobleem. Economisch Statische Berichten. 2009, 94: 678-681.Google Scholar
- Boonen LHHM, Schut FT: Preferred providers and the credible commitment problem in health insurance: first experiences with the implementation of managed competition in the Dutch health care system. Health Economics, Policy, and Law. 2011, 6: 219-235. 10.1017/S1744133110000320.View ArticlePubMedGoogle Scholar
- Lassar WM, Manolis C, Winsor RD: Service quality perspectives and satisfaction in private banking. Journal of Services Marketing. 2000, 14: 244-271. 10.1108/08876040010327248.View ArticleGoogle Scholar
- Smith AK, Bolton RN: An experimental examination of customer reactions to service failure and recovery encounters: Paradox or peril?. Journal of Service Research. 1998, 1: 65-81. 10.1177/109467059800100106.View ArticleGoogle Scholar
- Daniel AE, Burn RJ, Horarik S: Patients' complaints about medical practice. MJA. 1999, 170: 598-602.PubMedGoogle Scholar
- Estelami H: Competitive and procedural determinants of delight and disappointment in consumer complaint outcomes. Journal of Services Research. 2000, 2: 285-300. 10.1177/109467050023006.View ArticleGoogle Scholar
- Friele RD, Sluijs EM: Patient expectations of fair complaint handling in hospitals: empirical data. BMC Health Serv Res. 2006, 6: 106-10.1186/1472-6963-6-106.View ArticlePubMedPubMed CentralGoogle Scholar
- Homburg C, Fürst A: How organizational complaint handling drives customer loyalty: an analysis of the mechanistic and the organic approach. Journal of Marketing. 2005, 69: 95-114.Google Scholar
- Vorhees CM, Brady MK: A service perspective on the drivers of complaint intentions. Journal of Services Research. 2005, 8: 192-204. 10.1177/1094670505279702.View ArticleGoogle Scholar
- Fornell C, Wernerfelt B: Defensive marketing strategy by customer complaint management: a theoretical analysis. Journal of Marketing Research. 1987, 14: 337-346.View ArticleGoogle Scholar
- Cho WH, Lee H, Kim C, Lee S, Choi K-S: The impact of visit frequency on the relationship between service quality and outpatient satisfaction: a south Korean study. Health Services Research. 2004, 39: 13-33. 10.1111/j.1475-6773.2004.00213.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Maxham JG, Netemeyer RG: Modeling customer perceptions of complaint handling over time: the effects of perceived justice on satisfaction and intent. Journal of Retailing. 2002, 78: 239-252. 10.1016/S0022-4359(02)00100-8.View ArticleGoogle Scholar
- Lien NH, Kao SL: The effects of service quality dimensions on customer satisfaction across different service types: Alternative differentiation as a moderator. Edited by: Lee AY, Sorman D, Duluth MN. 522-526.Google Scholar
- Brady MK, Cronin JJ: Some new thoughts on conceptualizing perceived service quality: a hierarchical approach. Journal of Marketing. 2001, 65: 34-49. 10.1509/jmkg.184.108.40.20634.View ArticleGoogle Scholar
- Grönroos C: Strategic management and marketing in the service sector. 1982, Boston: Marketing Science InstituteGoogle Scholar
- Kang GD, James J: Service quality dimensions: an examination of Grönroos's service quality model. Managing Service Quality. 2004, 14: 266-277. 10.1108/09604520410546806.View ArticleGoogle Scholar
- Stauss B: The dimensions of complaint satisfaction: Process and outcome complaint satisfaction versus cold fact and warm act complaint satisfaction. Managing Service Quality. 2002, 3: 173-183.View ArticleGoogle Scholar
- Goold SD, Fessler D, Moyer CA: A measure of trust in insurers. Health Res and Educ Trust. 2006, 42: 58-78.Google Scholar
- Zheng B, Hall MA, Dugan E, Kidd KE, Levine D: Development of a scale to measure patients' trust in health insurers. Health Serv Res. 2002, 37: 185-200.View ArticlePubMed CentralGoogle Scholar
- Morgan RM, Hunt SD: The commitment-trust theory of relationship marketing. Journal of Marketing. 1994, 58: 20-38.View ArticleGoogle Scholar
- Sharma N, Patterson PG: The impact of communication effectiveness and service quality on relationship commitment in consumer, professional services. Journal of Services Marketing. 1999, 13: 151-170. 10.1108/08876049910266059.View ArticleGoogle Scholar
- Sirdeshmukh D, Singh J, Sabol B: Consumer trust, value, and loyalty in relational exchanges. Journal of Marketing. 2002, 66: 15-37. 10.1509/jmkg.220.127.116.1149.View ArticleGoogle Scholar
- Wetzels M, de Ruyter K, van Birgelen M: Marketing service relationships: the role of commitment. Journal of Business & Industrial Marketing. 1998, 13: 406-423. 10.1108/08858629810226708.View ArticleGoogle Scholar
- McFarlin DB, Sweeney PD: Distributive and procedural justice as predictors of satisfaction with personal and organizational outcomes. Academy of Management Journal. 1992, 35: 626-637.View ArticleGoogle Scholar
- Tax SS, Brown SW, Chanrashekaran M: Customer evaluations of service complaint experiences: Implications for relationship marketing. Journal of Marketing. 1998, 62: 60-76. 10.2307/1252161.View ArticleGoogle Scholar
- Fornell C, Larcker DF: Evaluating structural equation models with unobservable variables and measurement errors. Journal of Marketing. 1981, 18: 39-50. 10.2307/3151312.Google Scholar
- Baron RM, Kenny DA: The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology. 1986, 51: 1173-1182.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6963/11/310/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.