The purpose of this paper is to understand how customer relationship termination (i.e., preparation and process), alone or in combination with customer involvement, contributes to the new product development outcome. While termination preparation has a synergistic effect with customer involvement, the termination process has a trade-off relationship with customer involvement.

Introduction Customer co-creation – customers‘ active participation and interaction with the company during their consumption processes, has gained increasing attention in tourism industry (Bertella, 2014; Chathoth et al., 2016; Campos, 2015). For example, Finnair and Helsinki airport invited passengers to workshop for co-developing new service concepts to improve passenger experience (Loukas, 2013). Despite of the increasing enthusiasm at the firm‘s side, customers do not necessarily share the mindset and feel ready for cocreation. The success of value co-creation greatly depends on continuous collaboration between customers and companies (Chathoth et al., 2013), making knowledge regarding customers‘ engagement in value co-creation essential. However, insufficient research attention has been devoted to theorize and empirically investigate the drivers of cocreation behavior in tourism (Grissemann & Stokburger-Sauer, 2012). To address this research gap, we draw on the organizational socialization theory (Van Maanen & Schein, 1979) to propose and empirically test customer education as driving factor for tourists‘ co-creation behavior during their tours. Additionally, we propose customer readiness as a mechanism mediating the effect of customer education on value co-creation behavior, while such effect should depend on tourists‘ involvement with tourism. Background and hypotheses development Organizational socialization refers to the process by which a newcomer gradually absorbs values, abilities, expected behaviors, and necessary social knowledge for assuming an organizational role and for participating as an organizational member (Louis, 1980, p. 229–230). Similar to the organizational socialization perspective, customer socialization characterizes how customers develop skills, knowledge, and attitude relevant to the marketplace (Ward, 1975), which offers a lens to explain how service providers can assist customers and behave as effective co-creators in the service system (Claycomb, Lengnick-Hall, and Inks, 2001). Büttgen et al (2012) demonstrated that customer socialization by training tactic has more important influence on consistent beliefs of service quality than prior reinforcement experiences, which engenders co-production motivation, in turn, leading to coproduction behavior as distal outcome of the socialization tactic. Previous studies suggest favorable customer outcomes to derive from the provision of customer education (Damali et al., 2016). Thus, this study proposed customer education as a socializing tactic, which is mediated by customer readiness for co-creation, to determine tourists co-creation behavior. The concept of co-creation has gained increasing attention in tourism literature, which is often described as the tourist‘s active participation, engagement and interaction during the consumption experience (e.g., Bertella, 2014; So et al., 2014). As Prahalad and Ramaswamy (2004, p. 8) stated, cocreation is ―the joint creation of value by the company and the customer, allowing the customer to co-construct the service experience to suit her context‖. Indeed, creating a favorable, memorable experience involves not only the service providers but also the tourism customers because customers are always the value co-creator (Vargo and Lusch, 2004). Challagalla and colleagues (2009) posit that firms can reach out to contact the customers to provide service after a sale is complete, rather than respond upon the customer‘s requests. In specific, Challagalla and et al. (2009) suggest the proactive service initiatives to consist of three dimensions, namely proactive prevention, proactive education, and proactive feedback seeking. In this study, the three key forms of proactive post-sales services proposed by Challagalla et al. (2009) provides a foundation that helps us to conceive customer co-creation behavior and define the dimensions underlying customer co-creation behavior of tourism services. Customer education, according to Meer (1984), involves learning activities that are organized and sustained by a firm to impart attitudes, knowledge or skills to customers or potential customers. Meanwhile, customer co-creation readiness (CCR) as a customer‘s condition or state in which he/she feels prepared to collaborate with service provider in value co-creation behavior, indicated by role clarity, ability and motivation to co-create (Meuter et al., 2005). Proper socialization process helps customers understand the product or service process as well as their role in performing service tasks, which not only could prevent customer‘s disruptive behaviors during the service process but also facilitate service flow and productivity (Rollag, 2012). Taken together, we propose the following hypotheses: H1: customer education will have a positive effect on customer co-creation behavior H2: Customer co-creation readiness will mediate the positive effect of customer education on customer co-creation behavior. Further, we postulate that tourist‘s product involvement is a boundary condition that constrains the positive effect of customer socialization. Socialization process does not always have much weight on tourists because the influence of socialization on each individual depends on tourists‘ individual characteristics (Van Maanen & Schein, 1979). Some tourists are highly interested in traveling whereas some consider traveling as a dessert in their meal. In line of this sense, we suggest the following hypothesis: H3: Product involvement will negatively moderate the mediation effect of customer co-creation readiness on co-creation behavior. Methodology The survey was posted on several well-known travel forums and referral networks. After eliminating invalid surveys, the authors obtain 300 valid questionnaires. Table 1 presents the sample characteristics. Customer education are measured by four items adapted from Bell and Eisingerich (2007). Product involvement depicts a customer‘s inherent needs, values, and interest towards tourism and is measured by ten items from Zaichkowsky (1985, 1994). Customer co-creation readiness is measured as a reflective first-order and reflective second-order construct by three dimensions: role clarity, ability, and motivation with 12 items adapted by Dellande et al. (2004) and Meuter et al. (2005). Customer co-creation behavior is measured as a reflective second order and reflective first order construct constituted by three dimensions of co-creation behavior with 12 items developed based on the review of concerns in the pre-site, on-site and post-site from several famous travel agencies. Results Measurement validation of constructs from construct reliability, convergent validity to discriminant validity were examined; and the results are provided in the table 2, indicating measurement validation requirements are satisfactory. Then, hypotheses testing was performed. In each analysis, we control variables, including customer gender, previous transaction experience with the travel agency (EP), and social desirability (SD), which are expected to have potential influence on co-creation behavior. H1 predicts a positive relationship between customer education and value co-creation. In support of H1, the analysis shows that customer education positively relates to co-creation of customers (β = 0.272, p = 0.043, R2adjusted= 0.292). Gender (β =-0.170, p<0.001) and SD (β =0.141, p=0.011) are negatively and positively related to customer co-creation behavior respectively. To test the mediating effect of customer readiness on the relationship between customer education and customer co-creation behavior, we used the PROCESS Macro (model 4) developed by Hayes‘s (2013) and estimated the effects with a bootstrap sample of 5000 cases. The indirect effect test indicates that customer education had a significantly positive effect on customer co-creation via the mediation of customer readiness for co-creation (0.312; 95% bootstrap CI [0.157, 0.517]) because the confidence interval did not include zero. The results support H2. Gender also has a significant effect on customer co-creation (β =-0.189, p <0.05). H3 postulated that product involvement will moderate the mediation effect of customer readiness. We used the PROCESS macro model 8 established by Hayes (2013) to test the moderated mediation. The conditional indirect effect test shows that customer readiness significantly mediates the influence of customer education on customer co-creation behavior, regardless of the level of product involvement (zero was not included in the confidence intervals). Nonetheless, customer education on customer co-creation behavior via customer readiness is significant and stronger in low level of product involvement (0.281; 95% bootstrap CI [0.186, 0.398]) but weaker in high level of product involvement (0.128; 95% bootstrap CI [0.029, 0.256]). Therefore, H3 is supported. Among the controlled variables, gender is the only significant predictor of customer co-creation behavior (β =-0.158, p<0.05). In a summary of dominant results of control variables, gender is significant in all three of the tested hypotheses; particularly, female shows a higher level of co-creation behavior than male. Conclusion we introduced organizational socialization theory to the literature on co-creation of tourism context and explored the effect of firms‘ education effort to socialize customers in co-creation activities. We found customer education as a socialization tactic and then conducting an empirical study by collecting data from several travel agencies to investigate the effect of firms‘ socialization tactic on customer co-creation. The results suggest that customer education could promote customer co-creation through customer readiness as a mediator. We also investigated whether the effect of socialization tactic differs on the different levels of product involvement. The results show that customers with high involvement were less influenced by customer education than those with low involvement.

Research on service innovation suggests that involving customers in the development of new services is a major contributing factor to the success of new services (e.g. Carbonell et al., 2009; 2012; Melton & Hartline, 2010; 2015; Zhihong et al., 2015). The purpose of this study is to provide an overview of the literature on customer involvement (CI) in new service development (NSD) both offline and online and to identify the major current issues faced by researchers and future research challenges. This paper approaches CI from the perspective of “co-creation for others” (Witell et al., 2011), that is participating in developing services that can benefit other customers. A search was done on three major databases, EBSCO; Emerald, and ScienceDirect, using various keywords (CI; NSD; service innovation; user involvement; co-creation, and customer participation) from 2002 (first CI paper published (Carlborg et al., 2014) to 2016. Relevant studies start with mainly qualitative inquiries whereas in the last 5 years there are more surveys and new types of qualitative research such as netnography and action research. The most important questions addressed are who is involved and how. Various studies investigate the role of different types of customers such as close; lead; ordinary or guided; their characteristics such as proactiveness; knowledge or experience; motives; emotions, or dissatisfaction, and their capabilities such as knowledge absorptive capability or relational capability. Furthermore, the way customers may be involved is analysed from many perspectives including the stages of involvement; the modes and intensity of involvement in each NSD stage (e.g. Melton and Hartline, 2010; Paasi, 2014) as well as the characteristics of effective CI. Moreover, studies in the online environment look at the web based tools for CI such as social media or virtual communities (Ryzhkova, 2012); the nature of customer contributions on social networks (Sigala, 2012); the role of lead users in developing online services (Schuhmacher & Kuester, 2012; Mahr & Lievens, 2012) and the drivers of customer participation in virtual brand communities (Zhilong et al., 2015). Major current issues include which customer or firm actions should be included in each stage and why; what is the role of relationships in effective CI; how we can select customers for NSD and what is the role of virtual environments in CI. Future research challenges include developing guides for customer selection for NSD; analyzing the nature of CI (modes; intensity; types of contributions; customer roles and actions in each stage; communication types and skills); using virtual environments for CI and determining the link of various relationship concepts with CI.

The impact of customer involvement in NSD on customer loyalty is still unknown, because most studies examine loyalty perceptions of only active participants in co-creation, while the few studies involving co-creation observers provide conflicting results. Research is also limited, as it measures user participation only at the design level, while customers are empowered to participate at all NSD stages. This study contributes to the literature by developing a model capturing the various levels of customer involvement in NSD co-creation and then, measuring its impacts on two type of user loyalty: brand loyalty and loyalty on innovation community. Data were collected from users of the Domino’s Mogul pizza toolkit empowering them to participate in all NSD stages and also to become pizza entrepreneurs by designing and selling their pizzas. Findings comparing the brand loyalty and the innovation community loyalty perceptions of users with various levels of co-creation involvement provide useful insights.

This study aimed to identify the effects of health-related menu choice attributes on customer behavioral intentions at wellbeing restaurants and analyze the moderating effects of food involvement and trust, which can influence customer preference and their intentions to visit well-being restaurants. This study designed a survey, and 351 respondents who have eaten at well-being restaurants completed the questionnaire. Exploratory factor analyses were conducted to identify underlying dimensions related to health-related menu choice attributes, food involvement, and customer behavioral intentions toward well-being restaurants. The three factors regarding health-related menu choice attributes and the three factors related to food involvement were identified. In order to test the relationships between health-related menu choice attributes and behavioral intentions as well as to investigate the moderating effects of food involvement and trust, hierarchical regression analyses were conducted. Results indicated that the three factors of health-related menu choice attributes were significantly and positively related to behavioral intentions. Among food involvement factors, dining environment and cooking were significantly related to behavioral intentions toward well-being restaurants. Trust had a significant influence on behavioral intentions. Results showed that food involvement and trust could moderate the effects of health-related menu choice attributes on behavioral intentions toward well-being restaurants.

Purpose Two patterns of consumer value creation are commonly observed in literature: standardisation and customisation of products. An important value-creating feature of standard products is reduction of consumer costs, both direct (prices of standard products are lower) and indirect (costs of recognising, selecting and learning-to-use). Personalised production, on the contrary, is costly, but the decrease in value due to a complexity of choice and use is compensated by an additional value from the perfect fitting to THE consumer needs. Service industry, especially B2B services, provides a good example of personalisation. This paper focuses on marketing to study drivers and determinants of the successful value creation in an individualised service production. Incentives to provide bespoke services arise when it is impossible to sell a second copy (a replica) of previously provided services: the service should be personally tailored and tuned to the needs of a particular customer. Bespoke services cannot be properly produced without detailed information about THE customers’ needs; a common knowledge about a representative consumer is not sufficient in this case. Customised KIBS have two producers: first, the service provider, who inputs its intellectual human resources; second, the customer, whose input is information, i.e. knowledge about itself. This phenomenon is known as co-production. The value of a customised service is therefore added by consumer as well. Co-production adds value to the supplied item by transforming it from replica into a unique object. The purpose of the current paper is to analyse the mechanism of co-production in marketing services in order to identify the sources of the above mentioned inefficiencies. Methodology The study of marketing services is part of the broader study of knowledge-intensive business services (KIBS) in Russia. Our methodology includes the study of observable patterns in KIBS sector performance with an objective to arrive at a better conceptual understanding of contemporary practices. We employ empirical data from 2007-13 obtained from specialised surveys of Russian executives who were asked to answer questions both on their own company and on market developments. The survey covers 600-800 producers of KIBS annually, and one tenth of them are suppliers of marketing services. Furthermore, in 2007, 2011 and in 2013 the survey involved over 700 business consumers of KIBS, of whom at least one third are users of marketing services. Marketing services involve a visible share of customised production (up to 70 per cent before the recent economic downturn), which makes them a convenient field for a research on individualised services. Original metrics of their knowledge intensity, level of customisation, customer involvement and customers’ absorptive capacity are the most important empirical outcomes of our surveys. Maim findings First, we argue that marketing services in Russia are highly knowledge intensive. The literature on KIBS usually proposes three main characteristic of knowledge intensity: 1) educational attainments of the workforce that are associated with the level of professional skills; 2) share of the value-added, and 3) share of customised services. With our original methodic we obtain quantitative metrics of all the three characteristics and prove high knowledge intensity of marketing services. Second, we present thorough investigation of provider-customer relations within service production. We provide original metrics of the intensity of customer co-production and show that the users of marketing services are deeply involved into co-production. We also demonstrate how the level of co-production fluctuates along the service production cycle to prove our hypothesis about positive relation between the intensity of customers’ involvement and their ability to add value to customised services. Third, we prove that value adding via co-production of marketing services is rarely absolutely efficient. The losses in efficiency results in value losses because proper customisation is impossible without perfect co-production, and insufficient co-production thus generates standard service instead of bespoke one. We reveal the sources of imperfect co-production and provide empirical evidence of their relative importance. Fourth, we demonstrate that value added through co-production can be lost due to incomplete absorption of the service. We provide evidence about imperfect absorptive capacity of Russian users of marketing services and expose its sources. We also discuss the relation between absorptive capacity and the general economic cycle in Russia. Research implications The study of co-production of marketing services may help their providers to optimise their customer strategy, to upgrade their value chains and to avoid value losses in their interaction with customers. More generally, the study improves our understanding of the bespoke production which takes the growing importance with the progress of post-industrial mode of production and life.

게임은 이용하는 사람이 선택할 수 있는 자율성의 폭이 넓은 열린 문화(open culture)이다. 즉, 게임 소비자의 참여가 적극적으로 요구되고 수용된다. 그런 의미에서, 원작 게임에 여러 가지 변형을 가하는 모드(MOD)는 게임 이용자의 적극적인 참여를 나타내는 대표적인 사례이자 게임 제작 과정에서 소비자의 참여 가능성을 보여주는 예시이다. 본 연구는 모드 게임의 대표적인 사례 중 Half-Life 모드의 분석을 통해, 게임 제작 과정의 발전적 측면에서 본 소비자 참여 가능성에 대해 논의한다.