Exploring the Relationship between Customer Satisfaction and Customer Loyalty in the Ghanaian Telecom Industry
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1 Exploring the Relationship between Customer Satisfaction and Customer Loyalty in the Ghanaian Telecom Industry *Gloria K.Q. Agyapong School of Business, University of Cape Coast, Cape Coast, Ghana Abstract This paper examined the relationship between customer satisfaction and customer loyalty in the telecom industry in Ghana. The study adapted the SERVQUAL model as the main framework for analyzing customer satisfaction. Logistic regression analysis was used to examine the relationship between customer satisfaction and customer loyalty. The results showed an inverse relationship between customer satisfaction and customer loyalty. To test for the significance of the estimated coefficients, the Wald s statistic was used and customer satisfaction is observed to be significant in explaining customer loyalty even though there is an inverse relationship between these two variables. This inverse relationship indicates that as customer satisfaction decreases, customer loyalty towards the brand still increases. The odds ratio given indicates that the model predicts a probability that based on the current level of satisfaction, the customer will still be loyal. This finding implies that among customers of Vodafone (Ghana), satisfaction is not a basis for loyalty. Some reasons accounting for this result may include the underdeveloped nature of the telecom sector. Also, the other competitive firms have challenges causing dissatisfaction but people are still loyal. So customers switching is not necessarily because they are satisfied or not. Managers of these firms should therefore focus on improving the quality of service as an effective means to increase customer loyalty. Keywords: customer satisfaction, customer loyalty, logistic regression, Vodafone (Ghana) 1. Introduction The concept of quality, efficiency, productivity, growth and survival pose a great challenge for the survival and growth of all corporate bodies. These growth and survival demands are further deepened by the need to attract and retain customers, as customers are the main focus of any successful business. Business success depends on a firm s understanding and meeting customers needs and demands. In Ghana, utility provision has always suffered a setback as utility firms have always been criticised for poor quality of services. One important utility in an economy is telecommunication. The telecommunication industry s role in an economy cannot be overemphasised. This is because it is the means through which all daily transactions and activities are undertaken. It aids decision making, organizing, influencing, activating, instructing, providing feedback, promoting interpersonal and business relationships as well as exchange of information. All social, economic, political, cultural, trade and commercial activities are undertaken using telecommunication. The nature of a country s telecommunication industry affects its pace of commercial and domestic activities. Due to the poor performance of many of these telecommunication firms, particularly in the developing countries, governments have had to intervene through divestiture and privatisation programmes (Frempong and Henten, 2004). Indeed, this led to the deregulation of many of the telecom industries in many countries, of which Ghana is no exception (Frempong, 2002). This is because it is believed that state controlled telecom 17
2 industry may impede innovation, efficiency and could stifle competition as the case was in Ghana prior to the Structural Adjustment Programme (SAP). Prior to the deregulation of the telecom sector, few firms existed in the country to provide telephone (mobile and fixed line) and Internet services. Meanwhile they charged exorbitant prices but provided restricted and shoddy services. Currently in the telecommunication subsector, five registered firms are operational. They include: Mobile Telecommunication Network (MTN), Millicom Ghana Ltd., Ghana Telecom (now Vodafon Ghana), Kasapa and Western Telesystems (Westel now Zain). The sixth company, Globacom has just acquired its license from the National Communications Authority (NCA) the body charged with the responsibility of registering, supervising and managing the country s telecom sector. It is perceived that the incoming of those firms has been made possible due to the reforms and adjustment programmes instituted in the country in the 1980s and 1990s. Nevertheless, the presence of these firms has introduced competition, efficiency and effectiveness in the telecom market in the country. Unlike the previous monopolistic, highly regulated telecom market, the presence of the new firms introduced service quality, appropriate and reasonable pricing and social responsibility. In effect, the deregulation policy of the telecom industry has aided in the current level of satisfaction enjoyed by its customers today (Frempong, 2002). The deregulation, competition and advancement in information communications technology seems to be exerting pressure on managers in this industry to demonstrate customer-focused and continuous service improvement than before, as a way to ensure customer satisfaction and brand supremacy. Several studies have been carried out in the developed countries regarding customer satisfaction and prescriptions have been put forward (Parasuraman et al, 1985; Cronin and Taylor 1992; Bitner et al, 1990; McAlexander et al, 1994). Also, studies have been carried out regarding the relationship between customer satisfaction and customer loyalty in the developed countries using the SERVQUAL model. However, only few studies have been carried out in this area in the developing counties and the telecom sector. This study, therefore, aims to find out whether there is a relationship between customer satisfaction and customer loyalty in a public sector (telecom) in a developing country context. 2. Literature Review 2.1 customer satisfaction Customer satisfaction has been defined by Khirallah (2005) as a customer's perception that his or her needs, wishes, expectations, or desires with regard to products and service have been fulfilled. Again, it is an attitude or behavior that customers vocalize or exhibit. The implication is that a telecommunication firm is consciously and proactively able to meet the myriad expectations of its many customers. Unfortunately, customer satisfaction is no guarantee of retention or loyalty. Customer Retention is the ability to hold on to customers over time. (Brimpong, 2008). Rust and Oliver (1994) suggest that customer satisfaction or dissatisfaction - a cognitive or affective reaction - emerges as a response to a single or prolonged set of service encounters. In the words of Giese and Cote (2000), consumer satisfaction comprises three basic components including the type of response (cognitive, affective or conative); the centre of interest or the subject on which the response is focused; and the moment in time at which the evaluation is made. But Anderson and Fornell (1994) are of the view that the literature is not very clear about the distinction between quality and satisfaction. 18
3 Satisfaction is a post consumption experience which compares perceived quality with expected quality, whereas service quality refers to a global evaluation of a firm's service delivery system (Anderson and Fornell, 1994; Parasuraman et al., 1985). According to Besterfield (1994); Barsky (1995); and Kanji and Moura (2002), customer satisfaction is a complex construct as it has been approached differently. In Levesque and McDougall (1996), satisfaction is conceptualized as an overall customer attitude towards a service provider. Also customer satisfaction has been described as an affective response, focused on product performance compared to some pre-purchase standard during or after consumption (Halstead et al., 1994). So Mano and Oliver (1993) established that satisfaction is an attitude or evaluative judgement varying along the hedonic continuum focused on the product, which is evaluated after consumption. 2.2 customer loyalty Loyalty as a concept has its root from the consumer behaviour theory and is something that consumers may exhibit to brands, services or activities (Belch and Belch, 2004). Often customer loyalty is used as opposed to brand loyalty to emphasise that loyalty is a feature of people, rather than something inherent in brands. Unfortunately, there is no universally agreed definition of loyalty (Jacoby & Chestnut, 1978; Dick & Basu, 1994; Oliver, 1999). According to Beerli et al. (2002), loyalty has been, and continues to be defined as repeat purchasing frequency or relative volume of same-brand purchasing. This, Oliver (1999) considered as an inadequate definition. He posits that most definitions of the concept in the literature suffer from the problem that they record what the consumer does, and none taps into the psychological meaning of loyalty. He thus defined loyalty as:... a deeply held commitment to rebuy or repurchase a preferred product/service consistently in the future, thereby causing repetitive, same-brand or same brand-set purchasing, despite situational influences and marketing efforts having the potential to cause switching behaviour. Jacoby and Kyner (1973) from a different perspective saw loyalty as the biased (i.e. non-random) behavioural response (i.e. purchase), expressed over time, by some decision-making unit, with respect to one or more alternative brands out of a set of such brands. This means that it is necessary to distinguish between exclusivity and loyalty and a function of psychological processes which involves the evaluation of different alternatives using specific criteria. As a result, Jacoby and Chestnut (1978) explored the psychological meaning of loyalty in an effort to distinguish it from behavioural (i.e. repeat purchase) definitions and concluded that consistent purchasing as an indicator of loyalty could be invalid because of accidental buying or a preference for convenience, and that inconsistent purchasing could mask loyalty if consumers were multi-brand loyal. Thus in the view of Day (2000); Jacoby and Kyner (1973) and Berne (1997), loyalty is a concept that goes beyond mere repurchase behaviour as it presents two perspectives - behaviour and attitude, with all leading to commitment. Accordingly, the combination of these two components enables us to distinguish two types of customer loyalty concepts: (a) Loyalty based on inertia, where a brand is bought out of habit merely because this takes less effort and the consumer will not hesitate to switch to another brand if there is some convenient reason to do so. That is, the consumer is buying the same brand, not because of true brand loyalty, but because it is not worth the time and trouble to search for an alternative; and 19
4 (b) True brand loyalty, which is a form of repeat purchasing behaviour reflecting a conscious decision to continue, buying the same brand, must be accompanied by an underlying positive attitude and a high degree of commitment toward the brand. Similarly, Uncles Dowling, and Hammond (2003) outlined three popular conceptions including loyalty as primarily an attitude that sometimes leads to a relationship with the brand; loyalty mainly expressed in terms of revealed behaviour and buying moderated by the individual s characteristics, and/or the purchase situation. In relation to true brand loyalty, Oliver (1999), based on the traditional consumer attitude structure, considers that all three decision-making phases must point to a focal brand preference if true brand loyalty exists. Thus, the brand attribute ratings (beliefs) must be preferable to competitive offerings; this information must coincide with an affective preference (attitude) for the brand; and the consumer must have a higher intention (conation) to buy the brand compared with that for alternatives. Compared to an inertia situation where the consumer passively accepts a brand, a true brand loyal consumer is actively involved with his or her favourite (Beerli et al. 2002). In the telecom market, relationship is very difficult to maintain as a firm may never have the chance to get in contact with its client(s). However the case, they try to establish and maintain long term customer relationship. The reasons for such relationship longevity are open to interpretation (Stewart, 1998). While genuine preference and loyalty may have been instrumental, so also could ignorance, inertia and dependence (Beerli et al. 2002). 2.3 The relationship between customer satisfaction and customer loyalty Whereas some researchers established a link between satisfaction and loyalty, others did not. For instance, Fornell (1992) and Fonell et al., (1996) were of the view that high customer satisfaction will result in increased loyalty for the firm and that customers will be less prone to overtures from competition. Similarly, in Coyne (1989), it was concluded that the relationship between loyalty and customer satisfaction is weak when customer satisfaction is low, moderate when customer satisfaction is intermediate and strong when customer satisfaction is high. Thus, since different factors seem to affect the propensity to be loyal under the conditions of low and high satisfaction, it may be assumed that the form of the relationship between customer satisfaction and loyalty is different at different levels of satisfaction (Söderlund, 1998). Also, Jones and Sasser (1995) found that an increase in customer satisfaction produces a stronger effect on loyalty among customers who are at the high end of the satisfaction scale. But the difficulty has always been how to define the scale of satisfaction. Again in the case of airlines, an increase in satisfaction produces a stronger effect on loyalty among customers at the low end of the scale than among customers at the high end. However, Christensen (2006) posit that customer satisfaction is very different from customer loyalty. One is a requirement to do business; the other is the basis for sustained profitability and growth. This research found that from a survey of several organizations who had invested considerable time and resources to survey the satisfaction levels of their customers, the results were positive aggregate scores. But while everyone that was a part of the process was pleased with the ratings indicating high levels of customer satisfaction, they were disappointed that customer turnover rates continued to be very high despite these recent findings. He concluded that satisfied customers will often stay until there is a better alternative offered to them even if their expectations are exceeded. This is true for both external and internal customer groups. When ex-customers are surveyed in exit interviews, they typically reveal that 20
5 they left because they received a better deal or offer elsewhere. They did not feel committed to the prior company. On the other hand, loyal customers are a different breed. Loyal customers will stay with a good or service provider through thick and thin. Hence, loyal customers should not be confused with satisfied customers. Much research over the years has indicated that there is no connection between customer loyalty and customer satisfaction. Just because a customer indicates a high level of satisfaction does not mean that they are or will be loyal to you. Customer loyalty entails an emotional connection. You have embedded yourself in the heart and mind of that customer Christensen (2006). Customer satisfaction is just a customer s sense of satisfaction. Speaking simply, customer satisfaction is a measure of expectations being exceeded, met, or not met. That s it. When thinking of customer satisfaction measurement, we want to know that we are meeting or exceeding customer expectations. We want to believe that we have satisfied customers and that this will lead to their loyalty and improve revenues. Unfortunately, customer satisfaction has little to do with customer loyalty. Christensen (2006) suggested eight ways to differentiate between satisfied customers and loyal customers. They are equally relevant to external customers as well as internal employee customers. They are: 1. Pricing. You negotiate prices with satisfied customers. You negotiate costs with loyal customers. 2. Payment. Satisfied customer pay at their discretion. Loyal customers pay on time. 3. Referrals. Satisfied customers become referrals of your competitors. Loyal customers willingly provide referrals to you. 4. Turnover. Generally, you will experience turnover rates of 15% or higher of satisfied customers. The turnover rate of loyal customers will be less than 5% and will be for reasons out of your control. 5. Competitive data. Your satisfied customers are seeking competitive data. Your loyal customers are sharing competitive data. 6. Perception. Satisfied customers perceive you as a commodity provider. Loyal customers perceive you as a partner. 7. Contract. You will need a contract to keep many satisfied customers in place. You have a virtual lifetime contract with your loyal customers. 8. Difficult times. Satisfied customers will leave you. Loyal customers will stay by your side. Additionally, the difference in the satisfaction-loyalty link between dissatisfied customers and satisfied customers is not discussed explicitly (Söderlund, 1998). So Dimitriades (2006) argued that the discriminant validity of satisfaction and loyalty needs to be further investigated highlighting potential effects of culture, method and measure variance. Also, while loyalty is a concept that all managers want, it has been found that it is not straightforward to translate customers loyalty attitudes into customers loyalty behaviours. Additionally, the relationship, between satisfaction and loyalty is neither simple nor linear and satisfied customers may defect (Jones and Sasser, 1995). As a result, there are no simple solutions for turning loyalty into profits. If it were easy, however, everyone would already be doing it (Keiningham et al., 2007). Despite the lack of consensus, however, they agreed there exist some relationship between customer satisfaction and customer loyalty. The hypothesis for this study was formulated as H 1: High level of customer satisfaction will result in high level of customer loyalty for Ghana Telecom (Vodafone). 21
6 3. Research Methodology The target population of the study comprised 7,621 clients of Ghana Telecom (Vodafone) in the Cape Coast Metropolitan area. This was obtained from the database of Ghana Telecom. The company was chosen because as of the time data was collected, the state had a major stake in it. Also, customers were complaining about their services. This was made known when National Communications Authority gave a directive for Ghana Telecom (Vodafone) and Mobile Telecommunication Network (MTN) to halt selling their SIMcards and improve the quality of their services. The branch in Cape Coast was chosen due to time and financial constraints and also to be able to control internal validity. Currently, the company has been privatised with Vodafone holding 70 per cent shares. To ensure that an adequate number of responses were received, the sample size was determined using Hair et al s (2000) sample size determination formula. Simple random sampling was used to collect the data. This sampling technique was chosen relative to the others because it is easily understood, the sample results may be projected to the target population and there is no (human) interference in the selection of the sample. However, using this sampling technique, it is often difficult to construct a sampling frame that will permit a simple random sample to be drawn. The main instrument for data collection was the questionnaire. The questionnaire was developed by based on the stated hypothesis and also based on the SERVQUAL model. Both open-ended and closedended questions were used. The questionnaire began with an introductory statement, which specified the purpose of the research as purely academic. Respondents were encouraged to give frank responses by assuring them of confidentiality of their responses. The questions were on a 7-point Likert scale. The scores were coded 7 for strongly agree or strongly satisfied, 6 for moderately agree or moderately satisfied, 5 slightly agree or satisfied, 4 for neutral or indifferent, 3 for somehow disagree or slightly dissatisfied, 2 for disagree or moderately dissatisfied and 1 for strongly disagree or highly dissatisfied. Out of a total of 520 questionnaires distributed, 460 usable responses were obtained. Logistic regression analysis was used to examine the relationship between customer satisfaction and customer loyalty. 4. Results and Discussion The results in Table 1 indicate the categorical variable coding that classifies respondents into those who are either satisfied or not satisfied with the services of Ghana Telecom (Vodafone). The results indicate that 231 respondents representing 50.2% were not satisfied with the services of Ghana Telecom, while the remaining (229) representing 49.8 were satisfied with their services. This implies that service quality alone many not bring about customer satisfaction; others factors such as price and the presence of other competing operators services can bring about service dissatisfaction (Palmer, 2005) Table 1: Categorical variable coding Variable Responses Frequency Percentage Customer Satisfaction Not Satisfied Satisfied Total Source: Fieldwork,
7 To test for the significance of the estimated coefficients, the Wald s statistic was used. From Table 2, customer satisfaction is observed to be significant (p<0.005) in explaining customer loyalty even though there is an inverse relationship between the two. The negative sign for the coefficient indicates that as customer satisfaction decreases, customer loyalty towards the brand still increases. The odds ratio given as Exp (B) =.215, indicates that the model predicts a probability that based on the current level of satisfaction; the customer will still be loyal. This finding implies that among customers of Ghana Telecom (Vodafone), satisfaction is not a basis for loyalty. Some reasons accounting for this result may include the underdeveloped nature of the telecom sector. Also, the other competitive firms have challenges causing dissatisfaction but people are still loyal. So customers switching is not necessarily because they are satisfied or not. Table 2: Variables in the equation Independent Variable B S.E Wald d.f. Sig. Exp(B) Step 1 a Customer Satisfaction Constant N = 460-2Loglikelihood = a Cox & Snell R Square =.423 Nagelkerke R Square =.466 a. Variable(s) entered on step 1: Customer Satisfaction b. Estimation terminated at iteration number 4 because parameter estimates changed by less than.001 Source: Fieldwork, 2009 Again, the other networks may not be providing superior services but average services hence customers feel better off staying with their current telecom providers. As has already been alluded to, managers of these firms should focus on improving the quality of service as an effective means to increase customer loyalty. This finding is contrary to the one by Fornell (1992; 1996) who found that high customer satisfaction results in increased loyalty for a firm. Because according to him, a satisfied customer will be less prone to overtures from competition. There is also evidence that satisfied customers may nevertheless not return to a service provider (Brady & Cronin, 2001). The finding in this work however, affirms the view of Christensen (2006), who posits that customer satisfaction is very different from customer loyalty. He concludes that satisfied customers will often stay until there is a better alternative offered to them even if their expectations are exceeded. 5. Conclusions and Implications The results show that high level of customer satisfaction may not necessarily result in high customer loyalty among customers of Vodafone (Ghana). Therefore focusing a great deal on satisfaction may not drive up customer loyalty as it can bring about possible neglect of some important service quality aspects that can bring about a decrease in customer loyalty. It does not mean, however, that satisfaction of customers should be totally neglected. It will be necessary as it might enable the firm to cater for some important aspects of the services (e.g. switching cost, complaint handling) they provide. For managers, these findings have important implications with regard to brand building strategies. Key to profitability is customer loyalty. The study has documented an inverse relationship between customer 23
8 satisfaction and customer loyalty. It is important therefore, that Telecom management focuses on some other aspects of service provision such as improved service quality. Due to the fact that telecom firms do not provide tangible products, their service quality is usually assessed by measures of the serviceprovider s relationship with customers. Thus, telecom service management should pay attention to staff skill possession, knowledge, attention to customers and their needs, offering fast and efficient services and general attitude to customer services. Other important activities that could be undertaken to gain customer loyalty for telecom services include confidentiality in transactions, trustworthiness of staff, availability of customer care centres on weekends, extension of working hours, and provision of security for customers transactions. Telecom management in the Ghanaian market should therefore see to customer satisfaction based on these measures. Invariably, there is need for the management of telecom firms to intermittently train their workers on relationship marketing skills. Such training would build a customer-oriented climate in which contact staff can deliver service efficiently and effectively, acknowledging that acquiring and retaining customers is the very essence of marketing. Consequently, customer relations behaviours can serve as the criteria for telecom staff performance, evaluations and promotions. Limitations Although the study is one of the first to adapt and assess the reliability and validity of the SERVQUAL scale in Ghana Telecom and perhaps in the industry, this study had some limitations. First, the sample size of 520 was relatively small, considering the number of clientele base of the firm. But a smaller sample size needed to be chosen due to time and funds constraints. Secondly, the finding is from the telecommunications industry in general and Ghana Telecom (Vodafone) to be specific, which may not be generalized to other industrial settings, like retail stores, restaurants, and banks. Thirdly, data were collected from self-administered questionnaires that may include individual biases. But effort was made to reduce informant bias or possibility of the data being subjective through triangulation. Several future research directions are suggested by this study. First, research should be conducted to examine whether the SERVQUAL instrument is valid in other Ghanaian industries, like banking and manufacturing. This implies that the structure of customer satisfaction needs validation in other settings, like different industries and different cultures, and also in Ghana s entire telecommunications industry using a larger sample. Also, investigations should be conducted on how the core service product qualities, such as signal quality or cell or land-phone quality, interact with service quality to influence customer satisfaction and ultimately, loyalty. References Anderson, E.W. & Fornell, C. (1994). Customer satisfaction, market share and profitability: Findings from Sweden. Journal of Marketing, 58( 3), 53. Barsky, J. (1995). World-class customer satisfaction. Burr Ridge, IL: Irwin Professional. Beerli, A., Martin, D.J. & Quintana, A. (2002). A model of customer loyalty in the retail banking market. European Journal of Marketing, 38(1), Belch, G. E., & Belch, M. A. (2004). Advertising and promotion: An integrated marketing communications perspective. New York: McGraw-Hill. 24
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