INTRODUCTION

In Greece, the mobile telephony market has now reached its mature stage, and as Zeithaml, Berry and Parasuraman1 stated, the net return on investments in mature markets could be much higher for retention strategies than for strategies to attract new customers, particularly for companies with an established customer base.

In Greece, there are three mobile operators: Vodafone, Wind and Cosmote of the Greek Public Telecommunications Organisation. Another operator, Q-Telecom, has recently entered the market; however, its share is very small (about 4 per cent). As there is severe competition in the market, mobile operators should find ways to retain their customers and increase their profitability.

This study aims to identify whether service quality and perceived price are influencing customers' repurchase intention in the mobile telephony sector in Greece. However, as Rust and Zahorik2 mentioned, repurchase intention may not reflect the true probability of repurchase, and it is important to recognise that the intention to repurchase is not the same as actual repurchase.

THEORETICAL BACKGROUND

Customer loyalty

Customer loyalty has been variously defined in the literature. Jones and Sasser3 defined customer loyalty as the feeling of attachment to or affection for a company's people, products or services.

According to the literature, customer loyalty can be defined as an attitude and as behavioural loyalty.4 Loyalty as an attitude is the consumer's relatively enduring affective orientation for a product, store or service.5 Behavioural loyalty is the customer's intention to repurchase the product/service.4

As a behaviour, customer loyalty has been measured as the customers' repeat purchase probability.6 However, loyalty as an attitude cannot be measured with repurchase intent, because it can capture a behavioural component of loyalty and taps a behavioural intention.

In the service management literature, loyalty is mainly defined according to the behavioural view, and the majority of loyalty studies were operationalised behaviourally.

Customer repurchase intention in the mobile telephony sector refers to the users' intention to continue to repurchase the service from their mobile operator, and not switch to another operator even after their contract expires. Thus, the behavioural component to measure customer loyalty will be focused on the customers' stated purchase behaviour, that is, their propensity to buy again.

In this study, customers' stated intention to repurchase is measured, and, as already mentioned, this does not measure their attitude towards the service and their actual behaviour, that is, repurchase itself. Thus, although customers stated that they intend to repurchase, they may not actually do so.

A variety of reasons, including competitive actions such as lower prices or unexpected factors such as financial reasons, pressures from friends/relatives or other reasons, may prevent them from repurchasing.

As mentioned, customer loyalty according to the behavioural view can be assessed with customers' intent to repurchase. However, according to Jones and Sasser,3 secondary behaviour is another alternative way to assess customer loyalty, that is, customer referrals, endorsements and word of mouth, which are extremely important forms of consumer behaviour for a company. Dabholkar et al,7 Cronin et al,8 Andreassen and Lanseng,9 Danaher and Haddrell,10 Rust et al11 and Woodside et al12 also considered repurchase probability and word of mouth the two proxies for customer loyalty, and these two will be used in this study.

The importance of customer loyalty

There are claims that it is more expensive to win a new customer than to retain an existing customer. Loyalty initiates a series of economic effects, and the net return on investments for the companies could be much higher for retention strategies than for strategies to attract new customers.1, 13

However, it is not only companies who benefit from customer loyalty, but also the customers. Researchers such as Peterson14 and Barnes15 argued that for a long-term relationship to exist, both the firm and the customer must benefit. Customer benefits of being loyal include social benefits, mutual trust, confidence benefits, financial benefits and non-monetary economic benefits. The benefits of customers being loyal according to the literature are presented in Table 1.

Table 1 Customer benefits of being loyal

Service quality

Service quality is defined as a global assessment, that is, the customer's overall impression of the relative inferiority/superiority of the organisation and its services.5, 23, 24, 25 However, other researchers claimed that service quality exhibits both global- and consumer-specific forms.26, 27

Apart from the different definitions, different ways of measurement were also proposed. Researchers such as Parasuraman et al5, 25 and Rust and Zahorik2 supported the concept of the expectation – perception gap for measuring service quality.

Cronin and Taylor28, 29 expressed doubts about the empirical usefulness of expectations, and suggested that the performance-minus-expectations is an inappropriate basis for use in the measurement of service quality. In addition, researchers such as Mazis et al,30 Bolton and Drew,31 Babakus and Boller,32 Babakus and Mangold,33 Cronin and Taylor,28, 29 Boulding et al,34 Brown et al,35 Teas,36 and Patterson and Johnson,37 maintained that the expectation – perception gap is not appropriate for measuring service quality. Furthermore, according to a number of researchers, the degree of usage of a service influences the formation of customers' expectations. Customers' expectations for continuously provided services (such as the telephone service) or long-lasting durable goods, as Oliver and Swan38 argued, are passive, and disconfirmation will not operate unless service changes occur that are outside the range of experience-based norms. This was reinforced by Bolton and Drew,31 who claimed that as telephone service is a continuous service, customer responses should be affected only by performance evaluations.

In addition, there is a lot of criticism in the literature concerning the simultaneous measurement of expectations and perceptions. This approach assumes that expectations before the service are identical to expectations after the service, and does not account for the fact that expectations may change over time.39, 40, 41 However, the majority of empirical studies conducted to measure service quality have been cross-sectional.5 Longitudinal studies may not be adequate for commonly/continuously provided services such as telephone service,42 and the users of most services might not agree to be part of a longitudinal study.

Thus, in this study, perceptions alone were used to measure service quality, and the SERVPERF model was used. The SERVPERF model is the most well known of the performance-based models for measuring service quality, and was developed by Cronin and Taylor.28 It uses the five dimensions and the 22 items of the well-known gap-model for measuring service quality, SERVQUAL, developed by Parasuraman et al,25 but does not incorporate expectations into its measurement scale. SERVQUAL consists of five dimensions (tangibles, reliability, responsiveness, assurance and empathy), including 22 pairs of Likert-type scales to measure customer expectations and perceptions.

Importance weights were not included in the SERVPERF scale. There is much discussion in the literature as to whether it is necessary to include importance weights in service quality measurement. Mazis et al30 and Cronin and Taylor28 argued that the unweighted measurement of performance is a better method for measuring service quality. In addition, the research of Teas43 showed that the unweighted models generally performed better than the weighted models in service quality measurement.

Perceived price

Perceived price was defined according to Zeithaml23 as the price as it is encoded by the consumer. Chang and Wildt44 defined perceived price as the consumers' perceptual representation or subjective perception of the objective price of the product/service.

As Storbacka et al45 and Patterson and Spreng46 claimed, buyers have an acceptable price range for a given purchase, rather than a single price, and this should not be ignored, because in the case of continuously provided services, it serves as normative price expectations for the service.47

Models linking service quality and price to customer purchase intention

Many researchers argued that there is a link between customer purchase intention and service quality. Among these researchers are Headley and Miller,48 who explored in a primary clinic setting the possibility of a link between perceived service quality and its various dimensions and a patient's future intent to complain, compliment, repeat purchase, switch providers and not use the service at all. Their findings revealed that perceived higher service quality will generate favourable intentions (for example repurchase, complementing) and that perceived lower service quality will lead to unfavourable intentions (for example complaining, switching and non-use of any services).

In addition, Boulding et al34 examined how service quality influenced behavioural intentions in two different settings, a laboratory experiment involving two simulated visits to a hotel and an educational institution. For behavioural intentions, they used two measures, repeat business and willingness to provide favourable word of mouth. Their findings indicated that service quality perceptions positively influenced behavioural intentions and willingness to recommend.

Furthermore, Zeithaml et al1 developed a conceptual model that depicted the behavioural consequences of service quality. They incorporated a more extensive multiple-item behavioural intentions measure distinguishing intentions into favourable and unfavourable, and examined service quality's impact on the different types of behavioural intentions. The model was empirically examined, and the customers of four companies (computer manufacturer, retail chain, automobile insurer and life insurer) were surveyed by mail. The results showed strong evidence that customer behavioural intentions were strongly influenced by service quality.

Ennew and Binks49 explored the relationships among service quality, customer relationships and customer loyalty in the banking sector. They examined factors affecting customer retention and defection, and the extent to which these were influenced by service quality. The results showed that service quality was an important factor, which contributes to an organisation's ability to retain loyal customers, and thus contributes to improved organisational performance.

Kangis and Zhang50 explored the link between service quality and customer retention in banking. Their findings showed that service quality had an effect on customer retention through being related to the stated intention to continue doing business with the bank.

As can be seen from the above models, customers' repurchase intentions are influenced by service quality. On this basis, for the Greek mobile telephony sector, the following hypothesis is offered:

Hypothesis 1:

  • Repurchase intention is influenced by perceived service quality.

According to the literature, price has an effect on customer purchase intentions. As Engel et al51 mentioned, price is an important factor influencing consumers' purchase behaviour.

In addition, Chang and Wildt44 examined the links among price, product attribute cues, perceived quality and value and purchase intention. They conducted a laboratory experiment for a student housing service unit and a PC purchasing unit. Their empirical findings indicated that both perceived price and perceived quality had direct effects on purchase intentions.

According to the above experiment, it can be seen that customers' repurchase intentions are influenced by perceived price. Thus, for the Greek mobile telephony sector, the following hypothesis is offered:

Hypothesis 2:

  • Repurchase intention is influenced by perceived price.

METHODOLOGY

Data were collected through a survey research, conducted in November 2007, where 180 mobile telephony users were personally interviewed. The survey was conducted among the customers of the three main mobile operators, Vodafone, Cosmote and Wind. Q-Telecom was not entered in this sample because its market share is still very small (about 4 per cent). The survey took place in Athens. This choice was based partly on convenience of access, and it was not considered appropriate at this stage to seek a sample proportionate to each operator's customers without a proper theoretical justification. A researcher stood outside each operator's shop on consecutive days and invited those leaving the shop to complete the questionnaire on the spot. Thus, 60 respondents were interviewed for each of the three operators, leading to a sample of 180 usable questionnaires, which was deemed satisfactory for this kind of survey. A rotation was undertaken so as to avoid being outside the same shop at the same time each day. About one in two of those approached agreed to grant an interview. Out of the existing contact methods, personal interviewing was preferred because the questionnaire was long, and thus a large non-response rate would be avoided. In addition, by personal interviewing, any needed explanations were given to the respondents so that they were able to answer the questionnaire properly. The questionnaire had been pre-tested on a sample of 10 respondents selected on convenience, and was adjusted where required.

To measure service quality, the SERVPERF model was used. Perceived price was operationalised with a single measure. The proxies used to measure customer loyalty were repurchase intention and positive word of mouth.

A five-point Likert scale ranging from ‘strongly agree=5’ to ‘strongly disagree=1’ was used, as it would fulfil the aims and facilitate the analysis.

The questionnaire was translated into Greek using the back-translation method. The questionnaire used for the final research survey comprised the SERVPERF for measuring service quality and some additional questions concerning overall service quality, perceived price and customers' repurchase intention, as well as their intention for positive word of mouth and the demographic characteristics.

The data collected from the questionnaires were statistically analysed. The statistical tests used were mainly Pearson correlation coefficients or chi-square tests, according to the nature of the scales.

FINDINGS

A statistical elaboration of the sample took place, and the distribution of the sample as well as the relationships between the demographic variables are presented in Tables 2 and 3.

Table 2 Distribution statistics of the sample (per cent)
Table 3 Relationships between demographic variables

Tables 2 and 3 show that the distribution of the sample did not display any unexpected bias taking into consideration the norms and the standards of Greek society. Older respondents were better educated, held more senior positions and were more likely to be married and have children. Better educated people held higher positions. Men were better educated and held better jobs than women.

In order to identify the relationships between the quality measures and the loyalty measures applied in this research paper, that is, customers' repurchase intention and positive word of mouth, Pearson correlations were calculated, and the results are presented in Table 4.

Table 4 Relationships between quality measures and loyalty measures

Relationships proved to exist between service quality and repurchase intention and thus Hypothesis 1 was verified. Perceived service quality proved to be associated with repurchase intention. The correlation between repurchase intention and perceived quality proved to be higher than the correlation between the single measure of overall service quality and repurchase intention. Thus, it can be concluded that the SERVPERF model performs better than the single overall service quality measure.

In order to identify the relationship between customer loyalty and perceived price, Pearson correlations were calculated, and the results are presented in Table 5.

Table 5 Relationships between price and loyalty measures

Repurchase intention proved to be associated with perceived price and thus Hypothesis 2 was verified.

In Table 6, the three attributes of SEVPERF where respondents had higher perceptions are presented.

Table 6 Service attributes with the higher perceptions

In Table 7, the three service attributes where respondents had lower perceptions are presented.

Table 7 Service attributes with the lower perceptions

As can be seen from Tables 6 and 7, Greek operators, especially Vodafone and Wind, offer visually appealing handsets to their customers. However, Cosmote gives error-free records to its customers. Wind has better physical facilities, and the other two operators have consistently courteous employees. However, none of the three operators has its customers' best interests at heart. Employees do not pay individual attention to their customers, and they do not respond immediately to their requests. In addition, Wind's operating hours do not satisfy its customers.

DISCUSSION

The findings verified the research hypotheses, and proved that there are relationships between service quality and repurchase intention in the Greek mobile telephony sector. This finding is in accordance with the literature, as researchers such as Zeithaml et al,1 Ennew and Binks,49 Chang and Wildt,44 Headley and Miller48 and Boulding et al34 also found that service quality has an influence on purchase intention.

The relationships between service quality and repurchase intention showed that service quality is an important decision-making criterion for service consumers, and any efforts to improve quality will be beneficial. Thus, the Greek mobile operators should pay attention to the quality of their services. As the results of this study showed, customers feel that mobile operators do not have their best interests at heart, and that employees do not pay individual attention to them and do not respond immediately to their requests. It is obvious that Greek mobile operators should improve customer service. The low quality of service gives an opportunity to a new entrant, Q-Telecom, which, as mentioned, has recently entered the market, to gain a competitive advantage and win market share.

In general, operators should understand what quality means to their customers in order to improve their positions in the market. Managers should take into consideration the fact that quality signals change over time, and they should make a sustained, long-term effort to impress and retain customers.

The findings also showed that perceived price was negatively associated with repurchase intention. This is in accordance with Chang and Wildt44 and Engel et al.51 As price is an important factor influencing customers' usage levels and repurchase intention, especially in the telecommunication sector, mobile operators should pay special attention to keeping prices down in order to increase usage, which is still very low in comparison with fixed telephony.

Perceptions proved to have a higher correlation with repurchase intention than the overall service quality measure. Thus, SERVPERF is a richer construct than the overall service quality measure, and it represents more accurately this multifaceted construct. However, there was high correlation between the overall service quality measure and customers perceptions as measured by SERVPERF. Researchers such as Headley and Miller,48 who measured service quality in medical care services, found that service quality as measured by SERVQUAL was positively related to an overall service quality measure, which they included in their questionnaire.

However, as mentioned, repurchase intention may not reflect the true probability of repurchase, and it is important to recognise that the intention to repurchase is not the same as actual repurchase.2 In addition, it should be noted that repeat business may not be the isolated result of the customers' happiness with the company, but other considerations may exist as well. These other considerations include barriers to switching to another provider, which result in false loyalty or no loyalty.3, 6 In the mobile telephony sector in France, Lee et al52 raised concerns about the time and effort needed when switching to a different provider, for example filling out forms (transaction costs) and costs in time of seeking information on prices/benefits (search costs).

LIMITATIONS, CONTRIBUTIONS AND SUGGESTIONS FOR FUTURE RESEARCH

The findings are in keeping with the literature; however, consideration was limited to the identified factors, but also several other variables influencing customers repurchase intention in mobile telephony such as service value and customer satisfaction exist. As Chang and Wildt44 mentioned, the formation of purchase intention is more complex than might have been expected, and many factors in addition to service quality and price might deserve investigation. Service quality may only tenuously be connected to loyalty (as these terms are defined and measured) in certain sectors. Thus, the intermediate steps between formulating a service quality level and influencing customers so that they become or remain loyal need sturdier theoretical underpinning and significant empirical support.

In addition, this study examined the influence of perceived price only, and not of reference price or objective price. In this study, customers' stated intention to repurchase is measured, and not repurchase itself.

Furthermore, the choice of the sample was based partly on convenience of access; it is not a sample proportionate to each operator's customers, and the profiles of those interviewed with the profiles of customers for the three operators were not compared. Therefore, it is not possible to assess the representativeness of the samples of customers in the survey. In addition, the survey took place in Athens, and covered a limited geographic market and not the whole country.

This study examines the relationships among service quality, price and customer loyalty in the Greek mobile telephony sector, and is the first that has applied the SURVPERF model in this sector. Thus, it has contributed to the service sector literature a sector of continually increasing importance, and in particular to the mobile telephony sector literature, where up to now little investigation has taken place.

Academically, further research based on these findings can add to the present pool of knowledge by examining the influence of other factors on customers' repurchase intention in mobile telephony.