A re-examination of service standardization versus customization from the consumer’s perspective Ying Ding School of Business, Renmin University of China, Beijing, China, and Hean Tat Keh Monash Business School, Monash University, Caulfield East, Australia Abstract Purpose – The purpose of this paper is to investigate the pros and cons of service standardization (vs customization) from the consumer’s perspective, the key factors influencing consumers’ preference for standardized (vs customized) services and the outcomes of service standardization (vs customization). Design/methodology/approach – The authors conducted a qualitative study and two behavioral experiments to test the hypotheses. Findings – The authors find that the advantages of service customization include greater perceived control and higher consumer satisfaction. The drawbacks of service customization include greater perceived risk. These findings also suggest that consumers’ preference for standardized (vs customized) service depends on their consumption goal. Specifically, consumers with a hedonic goal tend to prefer customized services, while those with a utilitarian goal tend to prefer standardized services. These effects are moderated by their need for uniqueness. Research limitations/implications – The qualitative and experimental studies in this research reveal the antecedents (utilitarian vs hedonic goal) on consumer preference for service standardization versus customization, as well as the consequences in terms of perceived risk, consumer satisfaction and perceived control. The experimental studies were conducted with Chinese and American consumers, respectively, which lend credence to the robustness of the findings. Practical implications – Results of the present research provide new insights into service standardization versus customization and have significant practical implications. In particular, service organizations should consider designing the appropriate service mode based on consumers’ characteristics, particularly their consumption goals and their need for uniqueness. If the customers focus on efficiency and functionality, the organization should try to provide standardized services. In contrast, for customers who are seeking fun and a novel experience, the service firm should try to tailor to their hedonic needs. Originality/value – While previous research identifies “heterogeneity” as a key characteristic of services in general, the present findings qualify this received wisdom. In particular, the authors show that consumers’ preference for service standardization versus customization is a function of their consumption goal and need for uniqueness. Thus, the present findings refine the current understanding of service heterogeneity, which makes a significant contribution to the services marketing literature. Keywords Perceived risk, Perceived control, Consumption goal, Need for uniqueness, Service customization, Service standardization Paper type Research paper Introduction along with the standardized food preparation methods (Ritzer, 2011). On the other hand is The Counter restaurant, a rapidly expanding chain founded in 2003. Its customers can expect to receive customized service through the construction of personalized burgers that cater to their unique individual tastes and wants (Perman, 2009). Technically, based on the choice of ingredients available, The Counter claims it can offer more than 312,120 different burger combinations. In comparing between the two brands, we note that a fundamental difference lies in McDonald’s raison d’être based on service standardization and The Counter’s emphasis on service customization. The co-existence and sustainability of the contrasting service options may be explained by market segmentation, a concept that is central to modern marketing theory and Should service organizations standardize or customize their market offerings? Consider the following contrasting examples of two restaurants that serve hamburgers. On the one hand, McDonald’s represents a classic example of service standardization. Beyond the widely recognized golden arches, employee uniforms and restaurant design, a striking consistency across its outlets around the globe is the similar limited menu (with minor modifications to cater to location-specific peculiarities, such as lamb burgers in India) The current issue and full text archive of this journal is available on Emerald Insight at: www.emeraldinsight.com/0887-6045.htm Journal of Services Marketing 30/1 (2016) 16 –28 © Emerald Group Publishing Limited [ISSN 0887-6045] [DOI 10.1108/JSM-02-2015-0088] Received 17 February 2015 Revised 7 May 2015 Accepted 21 May 2015 16 Service standardization versus customization Journal of Services Marketing Ying Ding and Hean Tat Keh Volume 30 · Number 1 · 2016 · 16 –28 practice (Kotler and Keller, 2012). There could be varying levels of segmentation, ranging from mass marketing, which implies that the firm provides the same offering for the entire market, as in the case of McDonald’s, to specific narrow segments of individual customers, a practice known as mass customization (Davis, 1987; Pine, 1993), as exemplified by The Counter. Prominent marketing scholar Kotler (1989, p. 47) once prophesied that: laid out in order and all outcomes are uniform (Shostack, 1987). The objective of standardized services is to reach as many customers as possible while satisfying a rather limited number of customer needs (Simonson, 2005). The development of technology has facilitated the delivery of standardized and consistent service performance (Levitt, 1972, 1976). For example, the growth in self-service technologies (Meuter et al., 2000) such as ATMs, pay-at-the-pump, automated hotel checkout, vending machines and Internet transactions has led to service delivery becoming more standardized. In each of these cases, human labor has been replaced or reduced by technology and machine. As machines can create a more constant service atmosphere, the customer will know precisely what to expect from the encounter and have a similar experience each time the service is used (Curran et al., 2003). Over the years, the standardization of work procedures and the implementation of technology have led to what sociologist Ritzer (2011) terms the “McDonaldization” of service industries such as restaurants, hotels, retailing and tourism. One of the central tenets of McDonaldization is predictability, which implies that regardless of location, consumers can expect to receive the same consistent standard of service every time when interacting with the organization. To illustrate: [. . .] the “mass market” is dead – segmentation has now progressed to the era of mass customization [. . .] Today’s computer technologies and automation capabilities within factories now allow us to bring out affordable, individualized versions of products – every consumer’s dream. Nonetheless, the ubiquitous presence of McDonald’s suggests that the pronouncement by Kotler (1989) on the death of mass marketing may have been premature. Besides McDonald’s, there are many other service organizations that continue to apply mass marketing strategies, such as Wal-Mart stores, Shell gas stations, Holiday Inn hotels and AMC cinemas. Conversely, not all attempts at mass customization have been successful. For example, Pine et al. (1993, p. 114) attribute the failure of Westpac Bank’s attempts in Australia to become a mass customizer to “The challenges of automating inflexible processes, building on ossified products, and trying to create a fluid network within a hierarchical organization [. . .] ”. Interestingly, there was no mention in their analysis on the role of consumers in determining the fate of Westpac’s customization strategy. This is despite consumers’ sensitivity to customization being one of the four pillars determining the organization’s decision to engage in mass customization (Carr, 2007). The present research seeks to understand the goals underlying consumer preference for one service mode over the other, and consumers’ reactions to service standardization versus customization. To this end, we develop a contingency framework and empirically examine the role of consumers’ temporal consumption goal (i.e. utilitarian vs hedonic goal) in driving their preference for standardized versus customized service modes. The rest of this article is organized as follows. The next section reviews the extant literature on service standardization and service customization. Following this, a qualitative study (Study 1) is presented to better understand consumer perceptions of standardized versus customized service modes. Based on the literature and the qualitative study, we develop a set of testable hypotheses. Next, findings from two empirical experiments (Studies 2 and 3) are reported. The conclusion includes a discussion of the theoretical contributions and managerial implications, as well as suggestions for future research. In the past, one of the reasons that tour operators had to offer standardized meals was that the food available at a given tourist site would likely prove too unusual and unpredictable and therefore unpalatable for many tourists. However, now tourists can generally be safely left on their own at most locales since those who want standardized meals will almost undoubtedly find them readily available at a local McDonald’s [. . .] Similar chains, or indigenous spin-offs, in many other sectors (such as Benetton in clothing, Body Shops in cosmetics) make most tourist sites quite familiar and comfortable for the majority of tourists (Ritzer and Liska, 1997, p. 99). The consistency and predictability associated with service standardization can lead to positive consumer evaluation. The wisdom-of-the-crowd effect (Surowiecki, 2004) suggests that service organizations can generate higher sales from consumers through standardized offerings. Along this line, Kramer et al. (2007) find that consumers who exhibit interdependent or collectivistic tendencies tend to favor products based on the aggregated preferences of other consumers (standardization) over products based on their own preferences (customization). Service customization In contrast to service standardization, customization refers to some level of adaptation or tailoring of the process to meet the individual consumer’s needs (Shostack, 1987). Thus, service customization may be viewed as a tailor-made solution for the customer’s benefit (Lovelock, 1983). Customized services may result from employees’ proactive contributions, such as offering helpful information and suggestions (Keh et al., 2013). Services may be customized by a predetermined “envelope of variety” (Hart, 1995), namely a range within which a service can be meaningfully customized. Marketers can take advantage of new technologies to offer individual consumers exactly what they want (Kotler, 1989). Vargo and Lusch (2004, p. 329) contend that the normative marketing goal should be customization, and: Literature review on service standardization and customization A firm’s service offerings can range from one-size-fits-all to totally personalized experiences for each customer (Pullman et al., 2001). In this section, we review the relevant literature on standardized versus customized service modes. Service standardization Standardization refers to a non-varying sequential process, similar to the mass production of goods, in which each step is Rather than trying to make service more goods-like through internal standardization, service managers should capitalize on the flexibility of service provision, and manufacturers should strive to make their goods more 17 Service standardization versus customization Journal of Services Marketing Ying Ding and Hean Tat Keh Volume 30 · Number 1 · 2016 · 16 –28 cent had master’s degrees. In addition, the interviewees came from a wide range of socioeconomic backgrounds. The interviewers first introduced and defined the concepts of service standardization and service customization. Based on the literature, service standardization was defined as the provision of standardized, consistent services to all customers, and service customization as the potential for high personalization in the delivery of services (Lovelock and Gummesson, 2004; Zeithaml et al., 1985). Following that, the respondents were asked to list four to six standardized services and customized services each. They were then asked about the pros and cons of the standardized and customized services. Finally, the respondents were requested to elaborate on the situations in which they would prefer standardized services and customized services. We conducted content analysis to understand consumer perceptions of standardized and customized services. Based on the interviewees’ responses, we found that consumers considered many services to be standardized. The most frequently cited standardized services included fast-food restaurants (n ⫽ 25), taxi service (n ⫽ 9) and airlines (n ⫽ 10). On the other hand, the most frequently mentioned customized services included beauty salon (e.g. haircut, facial, spa and massage) (n ⫽ 24), medical services (n ⫽ 18), fitness clubs (n ⫽ 9) and consulting (n ⫽ 7). Following the procedure for grounded theory (Strauss and Corbin, 1990), our content analysis also compared the advantages and disadvantages of both standardized and customized services. Table I summarizes the major pros and cons of these two service modes and the representative statements from the respondents. Furthermore, the content analysis also revealed several factors that could influence consumer preferences for standardized versus customized services. First, the customized mode was more suitable for services associated with higher consumer involvement and need for personalization (e.g. beauty salon and fitness club) (n ⫽ 17). Second, consumers’ preference for customized services depended on their time availability (n ⫽ 9). Third, consumers’ preference for customized services was also a function of the cost and their willingness to pay (n ⫽ 7). Based on the prior literature as well as the findings of our qualitative study, we chose consumption goal and need for uniqueness as two core factors that may influence consumers’ preference for standardized versus customized services. We elaborate on our arguments and develop our first set of hypotheses in the following section. service-like through the customized provision of output that meets the heterogeneous standards of consumers. A closer fit between preferences and service attributes may bring about increased benefits for the consumer (Franke et al., 2009; Simonson, 2005). Specifically, customized services that cater to consumers’ individual aesthetic and functional preferences would increase their willingness to pay (Franke and Schreier, 2008; Roth et al., 2006), loyalty and the level of retention (Coelho and Henseler, 2012). In addition, perceived uniqueness induced by customization may also enhance the consumer’s experience (Franke and Schreier, 2008; Tian et al., 2001). Nevertheless, some scholars observe that customization may not always lead to positive outcomes (Franke et al., 2009; Huffman and Kahn, 1998; Simonson, 2005). As consumers’ preference is constructed, the fundamental assumptions underlying the new approaches for satisfying individual consumer preferences often may not hold. In particular, consumers’ preferences are often unstable and susceptible to influence, and consumers usually have poor insight into their own preferences. Thus, the value added by individually customized offers, as opposed to standardized services, will often be rather limited, and attempts to customize to individual tastes may not guarantee consumer loyalty (Simonson, 2005). Prior research also indicates that service customization is associated with lower efficiency, lower productivity and higher costs (Hart, 1995). The benefits of customization may be outweighed by the monetary and psychological costs that a consumer encounters, including the increased price of customized services, the delay in receipt of the custom-made service and the need for consumers to invest time in specifying their preferences before the service can be purchased and consumed (Bardakci and Whitelock, 2004; Huffman and Kahn, 1998). In addition, Dellaert and Stremersch (2005) show that the mass customization configuration may enhance consumers’ perception of complexity, which in turn can exert a negative impact on utility. In summary, our review of the literature indicates that both benefits and drawbacks accrue to service standardization and customization. That is, the literature does not provide unequivocal support for either service standardization or customization; rather, the strengths and weaknesses of each service mode may well explain their respective appeals to different customer segments, as reflected by practice in the marketplace. Hypotheses development Hedonic versus utilitarian consumption goal There are two forms of consumption: 1 utilitarian consumption with tangible or objective features; and 2 hedonic consumption with non-tangible or subjective features that produce a pleasurable response from consumers (Holbrook and Hirschman, 1982). Study 1: a qualitative exploration of service standardization versus customization As the existing literature does not provide an unequivocal answer on the superiority of service standardization versus service customization, we first conducted in-depth interviews to explore customer perceptions of, and reactions to, standardized versus customized services. We conducted interviews with 31 respondents (64.5 per cent male), who were fully employed consumers attending a training program at a large public university in China. Their ages ranged from 28 to 43 years, with the mean being 35.9 years. In terms of education, 77.4 per cent had bachelor’s degrees and 22.6 per To illustrate, a person could go to a restaurant to discuss business over a meal with a client (utilitarian goal) or to celebrate a birthday with friends (hedonic goal). Babin et al. (1994) noted that consumers’ choices were often driven by utilitarian and hedonic considerations. For instance, shopping 18 Service standardization versus customization Journal of Services Marketing Ying Ding and Hean Tat Keh Volume 30 · Number 1 · 2016 · 16 –28 Table I Advantages and disadvantages of standardized versus customized services (Study 1, n ⫽ 31) Service mode Standardized service Advantages vs disadvantages Advantages Respondents‘ thoughts Standardization (n ⫽ 21, 67.7 %) Low cost (n ⫽ 15, 48.4 %) Perceived fairness (n ⫽ 9, 29.0 %) Disadvantages Customized service Lack of personalization (n ⫽ 22, 71.0 %) Implications Typical statements The service process is standardized and there are very few surprises Consumer can spend less money and time to obtain the service Since all consumers receive the same service, the perceived fairness is high The service lacks personalization “Because of standardization, it’s easy for me to judge service quality.” Inflexible (n ⫽ 9, 29.0 %) The service process is inflexible Advantages Customization (n ⫽ 28, 90.3 %) Satisfaction and loyalty (n ⫽ 16, 51.6 %) Disadvantages Perceived risk (n ⫽ 20, 64.5 %) The process of service can vary from consumer to consumer Customized service can increase consumer satisfaction and loyalty No standard to judge the service quality, which may increase perceived risk Consumers need to spend more money and time to obtain the service Higher cost (n ⫽ 15, 48.4 %) “Choosing standardized service can save money and time.” “Standardized service brings fairness to consumers.” “Standardized mode cannot provide personalized service according to each consumer’s special needs.” “The company cannot modify their standardized services and be more flexible to meet my special needs.” “The service provider can deliver services according to consumers’ specific needs.” “Personalized service makes me feel more satisfied.” “It’s hard to judge service quality, which makes me feel anxious during the service.” “I need to pay more for the special service and usually it requires more time too.” consumers’ attention to fun and enjoyment during service experiences, with less concern for time and price issues. Participants in our qualitative study also expressed statements consistent with hedonic goals. For instance, when they want to have fun or relax, they will opt for customized services (n ⫽ 17, 54.8 per cent of the sample). Accordingly, based on the literature and insights from our qualitative study, we hypothesize the following: experiences can produce both utilitarian and hedonic value (Fischer and Arnold, 1990). Sherry (1990, p. 180) described shopping at a flea market as “The oscillation of consumers between homo economicus and homo ludens” by drawing on the analogy between work and play. Prior research describes utilitarian consumer behavior as task-related and rational (Batra and Ahtola, 1991). This implies that when consumers have a utilitarian goal, they prefer the service to be provided in an efficient and fastidious manner (Babin et al., 1994). Along this line, participants in our qualitative study mentioned that they would choose standardized services when they have temporal or monetary constraints (n ⫽ 16, 51.6 per cent of the sample). The reasoning is that when consumers have a utilitarian goal, they will focus on service efficacy and the fulfillment of functional benefits, for which standardized services with consistent delivery are more suited to offer. In contrast, hedonic value tends to be more subjective and personal; it is more influenced by fun and playfulness than by task completion (Holbrook and Hirschman, 1982). For example, hedonic shopping value reflects shopping’s potential entertainment and emotional benefits (Babin et al., 1994). This can be better achieved through customized, rather than standardized, services. In addition, prior research suggests that consumers are less price sensitive toward services with hedonic characteristics compared with the more functional services (Wakefield and Inman, 2003). Okada (2005) found that people were willing to spend more time on hedonic items. Thus, we propose that hedonic consumption goal will shift H1. Compared to consumers with a hedonic consumption goal, the attribute of waiting time will be more important for consumers with a utilitarian consumption goal. H2. Compared to consumers with a hedonic consumption goal, the attribute of price will be more important for consumers with a utilitarian consumption goal. H3. Compared to consumers with a hedonic consumption goal, a standardized (customized) service will be more (less) important for the consumers with a utilitarian consumption goal. Need for uniqueness Uniqueness theory (Snyder and Fromkin, 1980) deals with people’s emotional and behavioral reactions to information about their similarity to others. In particular, Fromkin (1970) indicated that consumers might place more value on scarce experiences when they felt too similar with others. Prior 19 Service standardization versus customization Journal of Services Marketing Ying Ding and Hean Tat Keh Volume 30 · Number 1 · 2016 · 16 –28 research suggests that consumers’ need for uniqueness plays an important role in their judgment and choice behavior (Simonson and Nowlis, 2000), and leads to consumption of novel products and services (Franke and Schreier, 2008; Tian et al., 2001). According to Snyder and Fromkin (1977), individuals have dispositional differences in their uniqueness motivation. That is, some people have a high need for uniqueness while others have a low need for uniqueness. By extension, it is reasonable to expect that individual differences in the strength of consumers’ need for uniqueness may moderate their preference for standardized versus customized services. When driven by utilitarian goals, consumers with a low need for uniqueness will not have the urge to stand out, and will be satisfied purchasing standardized services. However, when they have hedonic goals, they are likely to prefer customized services. In contrast, consumers with a high need for uniqueness are likely to express themselves by acquiring scarce or novel services, which the majority of other consumers may not experience (Fromkin, 1970; Simonson and Nowlis, 2000; Snyder, 1992). High need-for-uniqueness consumers often desire a greater level of self-expression and distinctiveness, regardless of their consumption goal. Accordingly, we propose that the effect of consumption goal on consumers’ preference for standardized versus customized services would be attenuated for those with a high need for uniqueness. Specifically: vs hedonic) were activated (H1-H3). In addition, we wanted to verify the moderating effect of consumers’ need for uniqueness on the preference for service mode (H4). H4. Experimental design Study 2 used a 2 (consumption goal: utilitarian vs hedonic) ⫻ 2 (need for uniqueness: high vs low) ⫻ 2 (service mode: standardization vs customization) ⫻ 2 (waiting time: long vs short) ⫻ 2 (price: high vs low) mixed factorial design, whereby the utilitarian versus hedonic consumption goal was manipulated between subjects. Specifically, half of the participants were randomly told that they needed to purchase the service with a utilitarian consumption goal, while the other half was informed that they needed to purchase the service with a hedonic consumption goal. Consumers’ need for uniqueness was measured within subjects, and we divided the entire sample into two subgroups using the median split. To understand how consumers make trade-offs between waiting time (short vs long), price (low vs high) and service mode (standardization vs customization), we conducted a conjoint analysis following the procedure by Ostrom and Iacobucci (1995). Participants were asked to consider and indicate their preference by ranking among eight restaurant options that were the result of varying the three attributes (i.e. waiting time, price and service mode) in a full 2 ⫻ 2 ⫻ 2 factorial design. All eight possible combinations of the services were presented to the participants: each service option had either short or long waiting time, low or high price and was either standardized or customized. Consumers with a high need for uniqueness will prefer the customized service for both hedonic and utilitarian goals, while consumers with a low need for uniqueness will prefer the customized service only when they have a hedonic goal. Sample The experiment was conducted at a large public university in China. Participants were recruited using an online advertisement on the bulletin board system of the university, which invited students to participate in a marketing experiment with a compensation of RMB20 (⬇ USA$3.25). In total, 75 participants took part in this study (34.7 per cent males; 18.7 per cent below 20 years old, 80.0 per cent between 20 and 30 years old and 1.3 per cent above 30 years old). Based on the qualitative study and hypotheses development, we present our conceptual framework in Figure 1. Specifically, consumption goal will influence consumer evaluation of waiting time (H1), price (H2) and service mode (H3). In addition, consumers’ need for uniqueness will moderate the effect of consumption goal on preference for service mode (H4). We conduct Study 2 to test H1-H4 and Study 3 to test H5-H7 (to be developed later). Procedure The booklet consisted of experiment instructions, a service scenario and measures for hypotheses testing. In the utilitarian condition, the scenario was depicted as going to the restaurant “to satiate your hunger”, while in the hedonic goal condition, the scenario was depicted as going to the restaurant “to celebrate your friend’s birthday” (see Appendix 1). We added manipulation check questions to verify if “satiate your hunger” was perceived to be a utilitarian goal and “celebrate your friend’s birthday” was perceived to be a hedonic goal. After Study 2: factors influencing consumers’ preference for service standardization versus Customization Study 2 was conducted to investigate consumers’ preferences for waiting time, price and service mode (standardization vs customization) when different consumption goals (utilitarian Figure 1 Conceptual framework Consumption Goal (Utilitarian vs. Hedonic Goal) H1 Waiting Time H2 Price H3 H4 H5 H6 Service Mode Standardization vs Customization Consumer’s Need for Uniqueness 20 Perceived Risk Consumer Satisfaction H7 Perceived Control Service standardization versus customization Journal of Services Marketing Ying Ding and Hean Tat Keh Volume 30 · Number 1 · 2016 · 16 –28 reading the service scenario, the participants were asked to evaluate the eight service options and rank them according to their own preference. Then they completed the need-for-uniqueness scale to measure their chronic uniqueness-seeking tendency. The questionnaire ended with demographic questions. with a utilitarian goal would prefer the standardized service, supporting H3 (see Figure 2). We also examined if need for uniqueness played a moderating role. We conducted a two-way ANOVA, and the results revealed a significant interaction between consumption goal and need for uniqueness on consumers’ preference for the customized service (F(1, 71) ⫽ 4.25, p ⬍ 0.05). For consumers with a low need for uniqueness, they preferred the customized service only when they had a hedonic goal (Uutilitarian ⫽ 0.28 vs Uhedonic ⫽ 0.91, F(1, 33) ⫽ 14.99, p ⬍ 0.001). In contrast, consumers with a high need for uniqueness preferred the customized service, regardless of their consumption goal (Uutilitarian ⫽ 0.64 vs Uhedonic ⫽ 0.82, F(1, 38) ⫽ 1.64, p ⬎ 0.20). Thus, H4 was supported. Measurement We measured consumers’ need for uniqueness using the scale developed by Tian et al. (2001). Based on the participants’ ratings, we used the median split to obtain two sub-samples: consumers with a high need for uniqueness and those with a low need for uniqueness. Results and discussion Manipulation check Results of the one-way analysis of variance (ANOVA) revealed that, compared with participants who were assigned to the “celebrate your friend’s birthday” condition, those assigned to the “satiate your hunger” condition indicated that the goal was associated with higher utilitarian value (Mhunger ⫽ 5.73 vs Mbirthday ⫽ 3.58; F(1, 73) ⫽ 92.31, p ⬍ 0.001), and with lower hedonic value (Mhunger ⫽ 3.56 vs Mbirthday ⫽ 6.32; F(1, 73) ⫽ 133.83, p ⬍ 0.001). This implied that our goal priming was successful. Study 3: consumer reactions to service standardization versus customization The results of Study 2 indicated that consumers’ preference for service standardization versus customization depended on their consumption goal. However, it still left several issues unaddressed. First, we have not directly examined consumers’ reactions to service standardization and customization. Findings from the qualitative study (Study 1) suggested that the benefits of service customization included greater customer satisfaction. At the same time, however, the drawback of service customization included higher risk perceptions. It is thus imperative to empirically investigate the benefits and drawbacks of service standardization versus customization. Second, as Study 2 examined only one service context (i.e. restaurant), it was not clear if the findings could be generalized to other service contexts. Study 3 was conducted to address these issues. Specifically, we sought to examine consumer reactions to standardized and customized services. Based on the findings of the qualitative study, we abstracted perceived risk as the downside to service customization, and used perceived control and satisfaction to reflect the benefits of service customization. Besides, to increase the generalizability of the findings, we examined two other services (i.e. hotel and fitness club) in Study 3. In addition, as Study 2 was conducted in China, we sought to conduct Study 3 in a Western country, which would enhance the generalizability of the findings. Hypotheses testing Following the procedure by Ostrom and Iacobucci (1995), we ran ordinary least squares regressions to perform conjoint analyses on the data of each individual participant to obtain the utilities (regression coefficients) for every participant on all three service attributes. We ran a total of 75 regressions, one for each participant. Each regression was based on eight data points (the 2 ⫻ 2 ⫻ 2 design of the service attributes yielded eight combinations). The participants’ ranking served as the dependent variable, and three dummy-coded predictors represented the three service attributes (waiting time, price and service mode). Given these three predictors, each regression yielded three coefficients or utilities (waiting time, price and service mode). A utility of zero would mean that the level of specific attribute was not at all important on consumers’ preference, while higher utilities reflected a greater impact on their preference. As predicted, the results showed that waiting time was regarded as more important by consumers with a utilitarian goal than by those with a hedonic goal (Uutilitarian ⫽ 1.51 vs Uhedonic ⫽ 0.95, F(1, 73) ⫽ 25.43, p ⬍ 0.001), providing support for H1. Similarly, the utility of price was significantly higher for consumers with a utilitarian goal than for those with a hedonic goal (Uutilitarian ⫽ 1.42 vs Uhedonic ⫽ 0.24, F(1, 73) ⫽ 21.04, p ⬍ 0.001), which supported H2. In addition, the results indicated that the customized service had significantly higher utility for consumers who had a hedonic goal than for those with a utilitarian goal (Uutilitarian ⫽ 0.41 vs Uhedonic ⫽ 0.85, F(1, 73) ⫽ 9.76, p ⬍ 0.01). Conversely, utility of the standardized service was higher when consumers had a utilitarian goal than when they had a hedonic goal (Uutilitarian ⫽ ⫺0.41 vs Uhedonic ⫽ ⫺0.85, F(1, 73) ⫽ 9.76, p ⬍ 0.01). This implied that consumers with a hedonic goal would prefer the customized service, while consumers Figure 2 Utilities of price, time and service mode under different consumption goals (Study 2) 21 Service standardization versus customization Journal of Services Marketing Ying Ding and Hean Tat Keh Volume 30 · Number 1 · 2016 · 16 –28 Hypotheses development Perceived risk Perceived risk is a construct central to consumer evaluations, choices and behaviors (Dowling, 1986; Keh and Pang, 2010; Peter and Tarpey, 1975). It is a function of adverse consequence and uncertainty; adverse consequence refers to the amount of costs involved in attempting to achieve a set of purchase goals in a buying situation, and uncertainty is consumers’ probabilistic beliefs in the occurrence of the adverse consequence (Dowling, 1986; Keh and Pang, 2010; Peter and Tarpey, 1975). Consistent with prior research, we define perceived risk as the subjective expectation of a loss (Stone and Gronhaug, 1993). It integrates the future quality of the service at the point of purchase. Relative to tangible goods, there is potential for higher variability in the performance of services (Murray and Schlacter, 1990). The inconsistency in the service outcome implies a higher degree of perceived risk (Johnson et al., 2008; Keh and Sun, 2008). At the same time, the uncertainty associated with service customization will also lead to greater consumer anxiety. Thus, service customization can increase perceived risk. In contrast, for the standardized service (e.g. McDonald’s, where the workflow is highly standardized and predictable, Ritzer, 2011), consumers can be more confident of receiving consistent quality on every visit, and do not have to worry about fluctuations in the service outcome. This can in turn reduce risk perceptions. Accordingly, we hypothesize that: satisfaction. This is also supported by our qualitative study, which indicated that customized services could lead to higher consumer satisfaction. More formally, we hypothesize that: H5. H6. Compared to the standardized service, the customized service will lead to higher consumer satisfaction. Perceived control As one of the basic motivations of human activities, perceived control refers to the need to demonstrate human competency, superiority and mastery over the environment (White, 1959). For standardized services, customers have little input and cannot effect change in the production process and outcome. However, customized services can meet the customer’s specific needs. The higher level of customization or personalization comes about with the consumer’s greater level of co-production of the service (Chan et al., 2010; Etgar, 2008), which also implies greater consumer control (Bateson, 2000). Accordingly, we propose that: H7. Consumers’ perceived control will be higher for the customized service than for the standardized service. Experimental design To increase the generalizability of the results, two service contexts were selected following a pretest (i.e. hotel and fitness club). We manipulated service mode (standardized vs customized) across the two services, with a total of four conditions. Sample We conducted Study 3 on Amazon’s Mechanical Turk and received 133 responses from US participants. Four participants who did not answer the attention check question correctly (Please select “2” on this question so that we know you are carefully completing this questionnaire) were excluded from further analysis. Among the remaining 129 participants, 56.6 per cent were male. Their ages ranged from 19 to 74 years old (mean ⫽ 32 years); monthly income: 60.5 per cent below $1,500, 23.3 per cent $1,501-$3,000, 9.3 per cent $3,001-$4,500 and 7 per cent above $4,500). Consumers’ perceived risk will be higher for the customized service than for the standardized service. Customization and satisfaction Prior research on customization suggests that it enables customers to better realize their specific needs and wants (Dellaert and Stremersch, 2005; Franke et al., 2009; Gilmore and Pine, 2000; Liechty et al., 2001). Simonson (2005) noted that a closer fit between preferences and product attributes could bring about increased benefits for the consumer. Compared to standardized services, which by definition are consistent and offered in the same way to all consumers, a key benefit of service customization is that it caters to consumers’ specific needs (Vargo and Lusch, 2004). Consistent with this, Gwinner et al. (1998) empirically showed that special treatment benefits were particularly salient for “high-contact, customized, personal services”, relative to “moderate-contact, standardized services”. Relative to standardization, customization can lead to greater customer satisfaction and willingness to buy (Franke et al., 2009). For instance, Huffman and Kahn (1998) found that consumers who were allowed to specify their within-attribute preferences in product selection expressed greater satisfaction. Similarly, using analytical modeling, Xia and Rajagopalan (2009) demonstrated that customized products could increase consumer satisfaction by better fulfillment of their needs. Furthermore, Valenzuela et al. (2009) found that consumers who were allowed to self-customize tended to experience greater satisfaction and showed higher willingness to pay, especially when the procedure was not difficult. Accordingly, we propose that service customization has a positive effect on consumer Procedure The participants were randomly assigned to one of the four conditions. After reading the scenario, they answered a series of questions on the dependent variables, as well as some demographic questions. Upon completion, the participants were compensated, debriefed and thanked. Measurement Perceived risk was measured using three items on seven-point Likert scales (1 ⫽ strongly disagree, 7 ⫽ strongly agree) adapted from Stone and Gronhaug (1993). Perceived control was measured using six items on seven-point Likert scales adapted from the service locus of control scale (Bradley and Sparks, 2002). We assessed consumer satisfaction using four items on seven-point Likert scales (Homburg et al., 2005). As the satisfaction scale had excellent internal consistency for both services (Cronbach’s ␣hotel ⫽ 0.89; Cronbach’s ␣fitness club ⫽ 0.90), we averaged the four measurement items to obtain a satisfaction index. All measurement items are shown in the Appendix 2. 22 Service standardization versus customization Journal of Services Marketing Ying Ding and Hean Tat Keh Volume 30 · Number 1 · 2016 · 16 –28 Results and discussion Results for hotel Results for the hotel context indicated that service customization was associated with higher perceived risk than service standardization was (Mstandardization ⫽ 3.56, SD ⫽ 1.44 vs Mcustomization ⫽ 4.30, SD ⫽ 1.34, F(1, 64) ⫽ 4.65, p ⬍ 0.05), in support of H5. In addition, consumer satisfaction was higher for the customized service than for the standardized service (Mstandardization ⫽ 4.62, SD ⫽ 1.13 vs Mcustomization ⫽ 5.13, SD ⫽ 0.89, F(1, 64) ⫽ 4.17, p ⬍ 0.05), in support of H6. The results also revealed that consumers’ perceived control was significantly higher for the customized service than for the standardized service (Mstandardization ⫽ 3.53, SD ⫽ 1.55 vs Mcustomization ⫽ 4.35, SD ⫽ 1.46, F(1, 64) ⫽ 4.91, p ⬍ 0.05), and H7 was supported. These results are displayed in Figure 3(a). SD ⫽ 0.97, F(1, 61) ⫽ 5.81, p ⬍ 0.05), consistent with H6. Furthermore, consumers’ perceived control was significantly higher for the customized service than for the standardized service (Mstandardization ⫽ 4.20, SD ⫽ 1.54 vs Mcustomization ⫽ 5.02, SD ⫽ 1.21, F(1, 61) ⫽ 5.65, p ⬍ 0.05), which supported H7 (see Figure 3(b)). General discussion The present research empirically examined service standardization versus customization from the consumer’s perspective. We first conducted Study 1 (a qualitative study) to explore consumer perceptions of standardized versus customized services. The results suggested that consumers were able to distinguish between these two modes of services, as well as understood their pros and cons. Based on the qualitative findings and the literature review, we conducted two experiments to investigate the psychological mechanisms underlying consumers’ preference for service standardization versus service customization. Study 2 showed that consumers’ preference for service standardization versus customization depended on their consumption goal. When consumers had a hedonic goal, they preferred the customized service, and had little concern about the waiting time and price of the service. In contrast, when consumers had a utilitarian goal, they were more likely to choose the standardized service, and were more sensitive to the waiting time and price of the service. Furthermore, the effect of consumption goal on consumers’ preference for the standardized (vs customized) service was contingent on an individual difference factor (i.e. need for uniqueness). Consumers with a high need for uniqueness preferred service customization regardless of their consumption goal, while those with a low need for uniqueness preferred service customization only when they had a hedonic consumption goal. Study 3 examined consumer reactions to service standardization versus customization. The results indicated that, relative to standardized services, customized services could positively increase consumers’ perceived control and satisfaction. However, the drawback of service customization was that it increased perceived risk. Taken together, these findings make significant contributions to the services marketing literature. Our qualitative and experimental studies reveal the antecedents (utilitarian vs hedonic goal) on consumer preference for service standardization versus customization, as well as the consequences in terms of perceived risk, consumer satisfaction and perceived control (see the conceptual framework in Figure 1). Our experimental studies were conducted with Chinese and American consumers, respectively, which lend credence to the robustness of our findings. To this end, our findings also contribute to services marketing theory on the “heterogeneity” characteristic of services. In their landmark survey article, Zeithaml et al. (1985, p. 34) wrote that, “Heterogeneity in service output is a particular problem for labor intensive services” (emphasis added). The implication is that, relative to highly identical goods that come off the production line, labor-intensive services suffer from a lack of consistency (Langeard et al., 1981). Notwithstanding this observation, the present research Results for fitness club Similarly, for the fitness club service, we found that service customization was associated with higher perceived risk compared with service standardization (Mstandardization ⫽ 3.46, SD ⫽ 1.32 vs Mcustomization ⫽ 4.30, SD ⫽ 1.33, F(1, 61) ⫽ 6.32, p ⬍ 0.05), which supported H5. In addition, consumer satisfaction was higher for the customized service than for the standardized service (Mstandardization ⫽ 4.41, SD ⫽ 1.20 vs Mcustomization ⫽ 5.07, Figure 3 Consumers’ reactions to service standardization versus customization (Study 3) 23 Service standardization versus customization Journal of Services Marketing Ying Ding and Hean Tat Keh Volume 30 · Number 1 · 2016 · 16 –28 reveals that service heterogeneity in itself may not always be problematic; indeed, an offshoot of service heterogeneity is service customization, which consumers with a hedonic goal and high need for uniqueness prefer over service standardization. At the same time, we also show that service standardization appeals to consumers who have a utilitarian goal, have low need for uniqueness and are more sensitive to a short waiting time and low prices. Thus, it is not necessarily obvious that the normative marketing goal of services is customization over standardization (cf. Vargo and Lusch, 2004). burnishing their corporate reputation and engendering customer trust in the firm (Simonson, 2005). In addition, loyalty or reward programs may also enhance consumer satisfaction with the service provider (Keh and Lee, 2006). Future research directions There are several limitations in the present research that provide opportunities for further research. First, we focus on perceived risk, perceived control and consumer satisfaction as the main consequences of service customization. It is conceivable that service customization may lead to other consumer-level outcomes as well. For example, the provision of standardized services to all consumers may increase perceived fairness (as indicated in the qualitative study). As there are several dimensions to perceived fairness (i.e. distributive, procedural, interpersonal and informational, see Carr, 2007), the varying effects of service standardization versus customization on the individual dimensions of perceived fairness deserve research scrutiny. It should also be noted that the services examined in the present studies (i.e. restaurant, hotel and fitness club) may be classified as experience services. The literature distinguishes between experience service and credence service on the basis of the ease or difficulty in collecting information to evaluate the services (Darby and Karni, 1973; Keh and Pang, 2010; Sun et al., 2012). Whereas consumers can evaluate experience services (e.g. haircut and restaurant) confidently after purchase or consumption, they have far greater difficulty doing the same for credence services (e.g. education and medical treatment) (Ostrom and Iacobucci, 1995; Zeithaml, 1981). Hence, it would be worthwhile to investigate consumer reactions to service customization for credence services, particularly when consumers are able to co-produce the service (Chan et al., 2010; Etgar, 2008). Finally, technology may also play an important role in consumers’ choice between service standardization and customization. This builds on recent research observing that in many instances, the production and consumption of services can be separated, usually aided by technology (Keh and Pang, 2010; Schumann et al., 2012). On the one hand, the development of technology and standardization of work procedures imply that many services can be provided consistently and efficiently (Levitt, 1972, 1976). On the other hand, concepts such as customer relationship management were intended to facilitate the delivery of personalized services based on each customer’s characteristics and purchase history. It would be beneficial to examine the mechanism underlying the influence of technology using a contingency framework, which will enable us to have a more granular understanding of service standardization versus customization. Managerial implications Rather than being restricted to choosing between the industrialization of services (Levitt, 1976) or the inexorable march toward mass customization (Kotler, 1989), the present findings suggest that the advent of technology allows service organizations the flexibility of engaging in the mode of service delivery that their customers want as a form of market segmentation. The marketplace contains many examples of service providers that opt for standardization (e.g. McDonald’s, Benetton, Wal-Mart, Shell gas stations, Holiday Inn and AMC cinemas) and others that thrive on customization (e.g. The Counter, Princess Cruises and many professional services). There is also a range of service organizations that cater to the masses and personalize their services at the same time, such as Yahoo! (cf. My Yahoo!), retail banks (cf. personal banking), taxi transportation (cf. limousines) and department stores (cf. personal shoppers). Along this line, findings from Study 2 suggest that service organizations should pay attention to consumers’ consumption goals in designing the service mode. Essentially, when consumers have a utilitarian goal, standardized services may be more suitable. However, when consumers have a hedonic goal, they tend to prefer customized services. Thus, before designing the service mode, service organizations should fully consider the characteristics of the core service and determine its major attraction to their key customer segments. If the consumers focus on efficiency and functionality (e.g. fast food, retail banking and taxi transportation), standardized services would be preferred. In contrast, for consumers who are seeking fun and a novel experience (with a hedonic consumption goal), the service firm should try to cater to their hedonic needs. These consumers are seeking more than the mundane, and are less restricted by time and monetary concerns. Consequently, organizations catering to these consumers should position the service based on hedonism and customization. This may explain the success of The Counter. Beyond merely offering a customized burger, the founder of the company, Jeff Weinstein, claims that, “We are packaging an experience, a mood”. He reflects that, “We’re not curing cancer. I have to remember to step back and have fun” (Perman, 2009). In addition, although service customization is associated with benefits such as increasing consumers’ perceived control and anticipated satisfaction, it can also enhance risk perceptions simultaneously. This implies that consumers are concerned whether the service will perform as intended. Hence, managers should try to lower risk perceptions when delivering customized services. Some possibilities include References Babin, B.J., Darden, W.R. and Griffin, M. (1994), “Work and/or fun: measuring hedonic and utilitarian shopping value”, Journal of Consumer Research, Vol. 20 No. 4, pp. 644-656. Bardakci, A. and Whitelock, J. (2004), “How ‘ready’ are customers for mass customization? An exploratory investigation”, European Journal of Marketing, Vol. 38 Nos 11/12, pp. 1396-1416. 24 Service standardization versus customization Journal of Services Marketing Ying Ding and Hean Tat Keh Volume 30 · Number 1 · 2016 · 16 –28 Bateson, J.E.G. (2000), “Perceived control and the service experience”, in Swartz, T.A. and Iacobucci, D. (Eds), Handbook of Services Marketing and Management, Sage Publications, Thousand Oaks, CA, pp. 127-144. Batra, R. and Ahtola, O.T. (1991), “Measuring the hedonic and utilitarian sources of consumer attitudes”, Marketing Letters, Vol. 2 No. 2, pp. 159-170. Bradley, G.L. and Sparks, B.A. (2002), “Service locus of control: its conceptualization and measurement”, Journal of Service Research, Vol. 4 No. 4, pp. 312-324. Carr, C.L. (2007), “The FAIRSERV model: consumer reactions to services based on a multidimensional evaluation of service fairness”, Decision Sciences, Vol. 38 No. 1, pp. 107-130. Chan, K.W., Yim, C.K. and Lam, S.S. (2010), “Is customer participation in value creation a double-edged sword? Evidence from professional financial services across cultures”, Journal of Marketing, Vol. 74 No. 3, pp. 48-64. Coelho, P.S. and Henseler, J. (2012), “Creating customer loyalty through service customization”, European Journal of Marketing, Vol. 46 Nos 3/4, pp. 331-356. Curran, J.M., Meuter, M.L. and Surprenant, C.F. (2003), “Intentions to use self-service technologies: a confluence of multiple attitudes”, Journal of Service Research, Vol. 5 No. 3, pp. 209-224. Darby, M.R. and Karni, E. (1973), “Free competition and the optimal amount of fraud”, Journal of Law and Economics, Vol. 16 No. 1, pp. 67-88. Davis, S.M. (1987), Future Perfect, Addison-Wesley, Reading, MA. Dellaert, B.G.C. and Stremersch, S. (2005), “Marketing mass-customized products: striking a balance between utility and complexity”, Journal of Marketing Research, Vol. 42 No. 2, pp. 219-227. Dowling, G.R. (1986), “Perceived risk: the concept and its measurement”, Psychology & Marketing, Vol. 3 No. 3, pp. 193-210. Etgar, M. (2008), “A descriptive model of the consumer co-production process”, Journal of the Academy of Marketing Science, Vol. 36 No. 1, pp. 97-108. Fischer, E. and Arnold, S.J. (1990), “More than a labor of love: gender roles and Christmas shopping”, Journal of Consumer Research, Vol. 17 No. 3, pp. 333-345. Franke, N. and Schreier, M. (2008), “Product uniqueness as a driver of customer utility in mass customization”, Marketing Letters, Vol. 19 No. 2, pp. 93-107. Franke, N., Keinz, P. and Steger, C.J. (2009), “Testing the value of customization: when do customers really prefer products tailored to their preferences?”, Journal of Marketing, Vol. 73 No. 5, pp. 103-121. Fromkin, H.L. (1970), “Effects of experimentally aroused feelings of undistinctiveness upon valuation of scarce and novel experiences”, Journal of Personality and Social Psychology, Vol. 16 No. 3, pp. 521-529. Gilmore, J.H. and Pine, B.J. (2000), Markets of One: Creating Customer-Unique Value Through Mass Customization, Harvard Business School Press, Boston, MA. Gwinner, K.P., Gremler, D.D. and Bitner, M.J. (1998), “Relational benefits in services industries: the customer’s perspective”, Journal of the Academy of Marketing Science, Vol. 26 No. 2, pp. 101-114. Hart, C.W.L. (1995), “Mass customization: conceptual underpinnings, opportunities and limits”, International Journal of Service Industry Management, Vol. 6 No. 2, pp. 36-45. Holbrook, M.B. and Hirschman, E.C. (1982), “The experiential aspects of consumption: consumer fantasies, feelings, and fun”, Journal of Consumer Research, Vol. 9 No. 2, pp. 132-140. Homburg, C., Koschate, N. and Hoyer, W.D. (2005), “Do satisfied customers really pay more? A study of the relationship between customer satisfaction and willingness to pay”, Journal of Marketing, Vol. 69 No. 2, pp. 84-96. Huffman, C. and Kahn, B.E. (1998), “Variety for sale: mass customization or mass confusion?”, Journal of Retailing, Vol. 74 No. 4, pp. 491-513. Johnson, M.S., Sivadas, E. and Garbarino, E. (2008), “Customer satisfaction, perceived risk and affective commitment: an investigation of directions of influence”, Journal of Services Marketing, Vol. 22 No. 5, pp. 353-362. Keh, H.T. and Lee, Y.H. (2006), “Do reward programs build loyalty for services? The moderating effect of satisfaction on type and timing of rewards”, Journal of Retailing, Vol. 82 No. 2, pp. 127-136. Keh, H.T. and Pang, J. (2010), “Customer reactions to service separation”, Journal of Marketing, Vol. 74 No. 2, pp. 55-70. Keh, H.T. and Sun, J. (2008), “The complexities of perceived risk in cross-cultural services marketing”, Journal of International Marketing, Vol. 16 No. 1, pp. 120-146. Keh, H.T., Ren, R., Rao Hill, S. and Li, X. (2013), “The beautiful, the cheerful and the helpful: the effects of service employee attributes on customer satisfaction”, Psychology & Marketing, Vol. 30 No. 3, pp. 211-226. Kotler, P. (1989), “From mass marketing to mass customization”, Planning Review, Vol. 17 No. 5, pp. 10-13, p. 47. Kotler, P. and Keller, K.L. (2012), Marketing Management, 14th ed., Prentice-Hall, Upper Saddle River, NJ. Kramer, T., Spolter-Weisfeld, S. and Thakkar, M. (2007), “The effect of cultural orientation on consumer responses to personalization”, Marketing Science, Vol. 26 No. 2, pp. 246-258. Langeard, E., Bateson, J.E.G., Lovelock, C.H. and Eiglier, P. (1981), Service Marketing: New Insights from Consumer and Managers, Marketing Science Institute, Cambridge, MA. Levitt, T. (1972), “Production line approach to service”, Harvard Business Review, Vol. 50 No. 5, pp. 41-52. Levitt, T. (1976), “The industrialization of service”, Harvard Business Review, Vol. 54 No. 5, pp. 63-74. Liechty, J., Ramaswamy, V. and Cohen, S.H. (2001), “Choice menus for mass customization: an experimental approach for analyzing customer demand with an application to a web-based information service”, Journal of Marketing Research, Vol. 38 No. 2, pp. 183-196. Lovelock, C.H. (1983), “Classifying services to gain strategic marketing insights”, Journal of Marketing, Vol. 47 No. 3, pp. 9-20. 25 Service standardization versus customization Journal of Services Marketing Ying Ding and Hean Tat Keh Volume 30 · Number 1 · 2016 · 16 –28 Lovelock, C.H. and Gummesson, E. (2004), “Whither services marketing? In search of a new paradigm and fresh perspectives”, Journal of Service Research, Vol. 7 No. 1, pp. 20-41. Meuter, M.L., Ostrom, A.L., Roundtree, R.I. and Bitner, M.J. (2000), “Self-service technologies: understanding customer satisfaction with technology-based service encounters”, Journal of Marketing, Vol. 64 No. 3, pp. 50-64. Murray, K.B. and Schlacter, J.L. (1990), “The impact of services versus goods on consumers’ assessment of perceived risk and variability”, Journal of the Academy of Marketing Science, Vol. 18 No. 1, pp. 51-65. Okada, E.M. (2005), “Justification effects on consumer choice of hedonic and utilitarian goods”, Journal of Marketing Research, Vol. 42 No. 1, pp. 43-53. Ostrom, A. and Iacobucci, D. (1995), “Consumer trade-offs and the evaluation of services”, Journal of Marketing, Vol. 59 No. 1, pp. 17-28. Perman, S. (2009), “The counter: restaurant (re-defining) success in a recession”, Business Week, available at: www. businessweek.com/stories/2009-06-08/the-counterrestaurant-re-defining-success-in-a-recession Peter, J.P. and Tarpey, L.X., Sr. (1975), “A comparative analysis of three consumer decision strategies”, Journal of Consumer Research, Vol. 2 No. 1, pp. 29-37. Pine, B.J., II. (1993), Mass Customization: The New Frontier in Business Competition, Harvard Business School Press, Boston, MA. Pine, B.J., II., Victor, B. and Boynton, A.C. (1993), “Making mass customization work”, Harvard Business Review, Vol. 71 No. 5, pp. 108-119. Pullman, M.E., Verma, R. and Goodale, J.C. (2001), “Service design and operations strategy formulation in multicultural markets”, Journal of Operations Management, Vol. 19 No. 2, pp. 239-254. Ritzer, G. (2011), The McDonaldization of Society, 6th ed., Pine Forge Press, Thousand Oaks, CA. Ritzer, G. and Liska, A. (1997), “‘McDisneyization’ and ‘post-tourism’: complementary perspectives on contemporary tourism”, in Chris, R. and Urry, J. (Eds), Touring Cultures: Transformations of Travel and Theory, Routledge, London, pp. 96-109. Roth, S., Woratschek, H. and Pastowski, S. (2006), “Negotiating prices for customized services”, Journal of Service Research, Vol. 8 No. 4, pp. 316-329. Schumann, J.H., Wünderlich, N.V. and Wangenheim, F. (2012), “Technology mediation in service delivery: a new typology and an agenda for managers and academics”, Technovation, Vol. 32 No. 2, pp. 133-143. Sherry, J.F., Jr. (1990), “Dealers and dealing in a periodic market: Informal retailing in ethnographic perspective”, Journal of Retailing, Vol. 66 No. 2, pp. 174-200. Shostack, G.L. (1987), “Service positioning through structural change”, Journal of Marketing, Vol. 51 No. 1, pp. 34-43. Simonson, I. (2005), “Determinants of customers’ responses to customized offers: conceptual framework and research propositions”, Journal of Marketing, Vol. 69 No. 1, pp. 32-45. Simonson, I. and Nowlis, S.M. (2000), “The role of explanations and need for uniqueness in consumer decision making: unconventional choices based on reasons”, Journal of Consumer Research, Vol. 27 No. 1, pp. 49-68. Snyder, C.R. (1992), “Product scarcity by need for uniqueness interaction: a consumer catch-22 carousel?”, Basic and Applied Social Psychology, Vol. 13 No. 1, pp. 9-24. Snyder, C.R. and Fromkin, H.L. (1977), “Abnormality as a positive characteristic: the development and validation of a scale measuring need for uniqueness”, Journal of Abnormal Psychology, Vol. 86 No. 5, pp. 518-527. Snyder, C.R. and Fromkin, H.L. (1980), Uniqueness: The Human Pursuit of Difference, Plenum, New York, NY. Stone, R.N. and Gronhaug, K. (1993), “Perceived risk: further considerations for the marketing discipline”, European Journal of Marketing, Vol. 27 No. 3, pp. 39-50. Strauss, A. and Corbin, J. (1990), Basics of Qualitative Research: Grounded Theory Procedures and Techniques, Sage, Newbury Park, CA. Sun, J., Keh, H.T. and Lee, A.Y. (2012), “The effect of attribute alignability on service evaluation: the moderating role of uncertainty”, Journal of Consumer Research, Vol. 39 No. 4, pp. 831-847. Surowiecki, J. (2004), The Wisdom of Crowds: Why the Many are Smarter Than the Few and how Collective Wisdom Shapes Business, Economies, Societies and Nations, Doubleday, New York, NY. Tian, K.T., Bearden, W.O. and Hunter, G.L. (2001), “Consumers’ need for uniqueness: scale development and validation”, Journal of Consumer Research, Vol. 28 No. 1, pp. 50-66. Valenzuela, A., Dhar, R. and Zettelmeyer, F. (2009), “Contingent response to self-customization procedures: implications for decision satisfaction and choice”, Journal of Marketing Research, Vol. 46 No. 6, pp. 754-763. Vargo, S.L. and Lusch, R.F. (2004), “The four service marketing myths: remnants of a goods-based, manufacturing model”, Journal of Service Research, Vol. 6 No. 4, pp. 324-335. Wakefield, K.L. and Inman, J.J. (2003), “Situational price sensitivity: the role of consumption occasion, social context and income”, Journal of Retailing, Vol. 79 No. 4, pp. 199-212. White, R.W. (1959), “Motivation reconsidered: the concept of competence”, Psychological Review, Vol. 66 No. 5, pp. 297-333. Xia, N. and Rajagopalan, S. (2009), “Standard vs custom products: variety, lead time, and price competition”, Marketing Science, Vol. 28 No. 5, pp. 887-900. Zeithaml, V.A. (1981), “How consumer evaluation processes differ between goods and services”, in Donnelly, J.H. and George, W.R. (Eds), Marketing of Services, American Marketing Association, Chicago, IL, pp. 186-190. Zeithaml, V.A., Parasuraman, A. and Berry, L.L. (1985), “Problems and strategies in services marketing”, Journal of Marketing, Vol. 49 No. 2, pp. 33-46. 26 Service standardization versus customization Journal of Services Marketing Ying Ding and Hean Tat Keh Volume 30 · Number 1 · 2016 · 16 –28 Appendix 1 Scenarios and Sample Questions Used in Study 2 Utilitarian goal condition Please imagine that you are planning to go to a restaurant. You are hungry and your goal is to satiate your hunger. Thecustomized service mode means that the restaurant will prepare the food according to each customer’s individual and personalized needs while the standardized service mode means that the restaurant will only serve the food on a fixed and limited menu. 1. In your opinion, what is the relative importance of the following three attributes when you are choosing restaurants (1 = not important at all, 9 = very important). Very important Not important at all Service mode (standardized vs. customized) 1 2 3 4 5 6 7 8 9 Price (RMB15 vs. RMB50 per person) 1 2 3 4 5 6 7 8 9 Waiting time (10 vs. 30 minutes) 1 2 3 4 5 6 7 8 9 2. Please review the descriptions of 8 restaurants that vary on three attributes: service mode, price, and waiting time. Then rank them from 1 to 8, where “1” means it is your most preferred choice while “8” is your least preferred choice. Restaurant 1 Restaurant 2 Restaurant 3 Restaurant 4 Standardized service Customized service Standardized service Customized service RMB15 per person RMB15 per person RMB15 per person RMB15 per person Waiting time: 10mins. Waiting time: 10mins. Waiting time: 30mins. Waiting time: 30mins. Restaurant 5 Restaurant 6 Restaurant 7 Standardized service Customized service Customized service Standardized service RMB50 per person RMB50 per person RMB50 per person RMB50 per person Waiting time: 30mins. Waiting time: 10mins. Waiting time: 30mins. Waiting time: 10mins. Restaurant 8 Most likely not to choose Most likely to choose 3. Please recall the goal when your choosing restaurants and rate on the following sentences from 1 to 5 (1 = strongly disagree, 5 = strongly agree). Strongly Strongly Disagree Neutral Agree Agree Disagree I choose the restaurant to satiate my hunger. I choose the restaurant for a functional goal. I choose the restaurant to enjoy the dining experience. I choose the restaurant for a hedonic goal. 1 1 1 1 2 2 2 2 3 3 3 3 4 4 4 4 5 5 5 5 Hedonic goal condition Please imagine that you are planning to go to a restaurant. Your goal is to celebrate your friend’s birthday there. The customized service mode means that the restaurant will prepare the food according to each customer’s individual and personalized needs while the standardized service mode means that the restaurant will only serve the food on a fixed and limited menu. The questions are the same as those for the utilitarian goal condition. 27 Service standardization versus customization Journal of Services Marketing Ying Ding and Hean Tat Keh Volume 30 · Number 1 · 2016 · 16 –28 Appendix 2 Table AI Construct measures used in Study 3 Cronbach’s ␣ Fitness Hotel club Construct Items Perceived risk (Stone and Gronhaug, 1993) 1. If I choose this service mode, I will worry about whether the service will really perform as well as it is supposed to 2. If I choose this service mode, I will become concerned that the service may not provide the level of benefits that I would be expecting 3. The thought of choosing this service mode causes me to be concerned for how really dependable and reliable that service will be 1. All in all, I would be satisfied with this service 2. The service provided by this company would meet my expectations 3. Compared to an ideal experience, the scenario seems good 4. Overall, how satisfied would you be with the service provided by this service? 1. Usually, the effort I put in will affect the service I receive 2. The standard of service I receive will be partly a reflection of my ability and personal characteristics 3. My own skills and abilities will make a big difference to the standard of service I receive 4. I know I will get better service if I really try hard 5. The quality of service I receive will be influenced by the amount of personal effort I put in 6. I expect that by working hard in a service encounter, I will influence the service I receive Consumer satisfaction (Homburg et al., 2005) Perceived control (Bradley and Sparks, 2002) About the authors 0.907 0.863 0.916 0.933 0.956 0.943 Monash University, Australia. He previously taught at the University of Queensland, Peking University, and the National University of Singapore. His research interests include services marketing, consumer psychology, often involving a cross-cultural dimension, and marketing strategy. He has published in leading journals such as Journal of Marketing, Journal of Marketing Research, Journal of Consumer Research, Journal of Retailing, International Journal of Research in Marketing, Marketing Letters, Journal of Advertising, Journal of International Marketing, Industrial Marketing Management, Psychology & Marketing, Journal of Cross-Cultural Psychology, Journal of Business Venturing and Entrepreneurship Theory and Practice. Hean Tat Keh is the corresponding author and can be contacted at: ht.keh@monash.edu Ying Ding (PhD, Peking University) is an Assistant Professor of Marketing at the School of Business, Renmin University of China. Her research interests include consumer psychology, decision-making and self-conceptrelated consumption. Her research has been published in Journal of Consumer Research, and she presented her research work at various international academic conferences such as Association for Consumer Research North American Annual Conference (2011, 2012, 2014), European Marketing Academy Conference (2011) and Global Marketing Conference (2010). Hean Tat Keh (PhD, University of Washington) is a Professor of Marketing at Monash Business School, For instructions on how to order reprints of this article, please visit our website: www.emeraldgrouppublishing.com/licensing/reprints.htm Or contact us for further details: permissions@emeraldinsight.com 28