=Paper=
{{Paper
|id=Vol-1220/paper12
|storemode=property
|title=Towards an Understanding of How the Capabilities Deployed by a Web-based Sales Configurator Can Increase the Benefits of Possessing a Mass-Customized Product
|pdfUrl=https://ceur-ws.org/Vol-1220/12_confws2014_submission_5.pdf
|volume=Vol-1220
|dblpUrl=https://dblp.org/rec/conf/confws/GrossoTF14
}}
==Towards an Understanding of How the Capabilities Deployed by a Web-based Sales Configurator Can Increase the Benefits of Possessing a Mass-Customized Product==
Towards an understanding of how the capabilities deployed by a Web-based sales configurator can increase the benefits of possessing a mass-customized product Chiara Grosso1 and Alessio Trentin 1 and Cipriano Forza 1 Abstract. Manufacturers that adopt mass customization are paying In such a context, increasing the customer-perceived benefits of a growing attention to understanding not only how product possessing a mass-customized product can be one key in delivering customization can be delivered efficiently, but also how this value that exceeds those of competing mass customizers’ offerings. strategy can create value for their customers. As reported in In particular, manufacturers that adopt mass customization need to literature, the customer-perceived value of a mass-customized take into account the various benefits that consumers can experience product also depends on the uniqueness and self-expressiveness from mass-customization and the product value implication for benefits that a customer may experience above and beyond the customers [51]. While early literature emphasized the utilitarian traditionally considered utility of possessing a product that fits with benefit of possessing a product that better fit with one's idiosyncratic the customer’s functional and aesthetical needs. Increasing functional and aesthetical needs, the recent literature has developed customer-perceived value by delivering uniqueness and self- more sophisticated knowledge of the value implications of mass expressiveness benefits can therefore be one key in augmenting the customization to individual customers [20]. In particular, it has customer’s willingness to pay for a mass-customized product. This recently been acknowledged that providing other benefits in addition paper conceptually develops and empirically tests the hypotheses to the utilitarian one is crucial in augmenting customers’ willingness that five sales-configurator capabilities previously defined in to pay. literature increase uniqueness and self-expressiveness benefits of a Since mass customizers are increasingly adopting Web-based sales mass-customized product, in addition to the traditionally considered configurators, it is important to understand what characteristics sales utilitarian benefit. The hypothesized relationships have been tested configurators should have to increase customer-perceived benefits of by analyzing self-customization experiences made by engineering a mass-customized product. Previous research, however, has focused students using a set of real Web-based sales configurators of on how sales configurators should be designed to increase the different consumer goods. The analysis results show that easy traditionally considered utilitarian benefit of owning a self- comparison, flexible navigation and focused navigation capabilities customized product. The present paper offers additional insights into have a positive impact on each of the considered benefits, while this issue by conceptually developing and empirically testing user-friendly product space description and benefit-cost hypotheses on how capabilities deployed by a Web-based sales communication capabilities have a positive impact on utilitarian configurator can increase the benefits of possessing a mass- benefit only. The findings of this study complement previous customized product. research results on what characteristics sales configurators should have to increase consumer-perceived benefits of mass 2 Background customization. 2.1 Consumer perceived benefits of a mass- 1 Introduction customized product According to Pine [42, p.48] mass customization is defined as According to Holbrook [33], every consumption experience ‘‘developing, producing, marketing and delivering affordable goods involves an interaction between a subject and an object, where the and services with enough variety and customization that nearly subject of interest is a consumer or customer and the object of everyone finds exactly what they want’’. Nowadays, mass- interest is some product or service. The value that the consumer customization strategies are more and more widespread and, gains from the consumption experience is created through that therefore, mass customizers may need to identify unexploited interaction [19]. Mass customization allows customers to ask for sources of differentiation advantage [35]. new personalized products at a level of individualized tailoring that was never possible before [1]. Addis and Holbrook [1] identified a 1 Università di Padova, Dipartimento di Tecnica e Gestione dei sistemi trend that the same authors called 'an explosion of subjectivity' [1, ind.li, Stradella S. Nicola 3, 36100 Vicenza, Italy. E-mail addresses: p.2] to denote the emerging phenomenon of a more widespread role chiara.grosso@unipd.it (C.Grosso), alessio.trentin@unipd.it (A.Trentin), that individual subjectivity plays in consumption, where the term cipriano.forza@unipd.it (C.Forza). 'subjectivity' refers to a personal psychological state - that is, one's own way of feeling, thinking, or perceiving. According to these challenges. For example, Randall et al. [43] suggest that, depending authors, mass customization implicitly recognizes the growing on a customer’s expertise with a product, a sales configurator importance of consumer subjectivity. should present either product functions and product performance Previous mass-customization studies on mass-customized characteristics or design parameters to the potential customer. product value [26, 38, 26, 47] explain that, in addition to the well- Another example is Chang et al.’s [13] recommendation that a sales researched utilitarian benefit, there are two benefits, namely configurator provides potential customers with examples of uniqueness and self-expressiveness benefits, which a consumer configured products, in order to offer them guidance about what to could derive from the possession of a mass-customized product. do. More recently, Trentin et al. [56] have conceptualized five Utilitarian benefit, according to Merle et al. [38], is a benefit sales-configurator capabilities based on previous research deriving from the closeness of fit between product objective recommendations. The definitions of such capabilities are reported characteristics (i.e. aesthetical and functional characteristics) and in Table 1. an individual’s preferences. In other terms, utilitarian benefit derives from the fact that the self-customized product fulfills the Table 1. Sales-configurator capabilities [55] individual's idiosyncratic functional and aesthetical needs [1]. Capability Definition The uniqueness benefit of possessing a mass-customized Benefit-cost The ability to effectively communicate the product is defined by Merle et al [38] as the benefit that a communication consequences of the configuration choices consumer derives from the opportunity to assert his/her personal made by a potential customer both in terms of uniqueness by using a customized product. Uniqueness benefit is what he/she would get and in terms of what related to the symbolic meanings a person attributes to the objects he/she would give as a result of social construction [12, 52, 49, 53, 29, 39]. Brewer’s User-friendly The ability to adapt the description of a [8] optimal distinctiveness theory posits that people have product-space company’s product space to the individual opposing motives to fit in and stand out from social groups. A description characteristics of a potential customer as well as to the situational characteristics of his/her series of studies by Brewer and colleagues e.g. [9] has shown that, using of a sales configurator whereas threats to one’s inclusionary status produce increased Easy The ability to support sales-configurator users attempts to fit in and conform, threats to one’s individuality comparison in comparing product configurations they have produce attempts to demonstrate how different one is from the rest previously created of the group. Consequently, uniqueness benefit deriving from a Flexible The ability to let sales-configurator users mass-customized product will meet the individual need to assert navigation easily and quickly modify a product his/her own personality by differentiating his/her self from others configuration they have previously created or [21, 50]. are currently creating Self-expressiveness benefit is defined by Merle et al. 38] as the Focused The ability to quickly focus a potential benefit that originates from the opportunity to possess a product navigation customer’s search on those solutions of a that is a reflection of the consumer’s image. This is in accordance company’s product space that are most with the self-consistency motive underlying self-concept, where relevant to the customer himself/herself the term “self-consistency” denotes the tendency for an individual to behave consistently with his/her view of his/her self [48]. Like Previous studies on sales configurators, however, have typically uniqueness, self-expressiveness benefit is related to the symbolic regarded the mass-customized product only as a source of utilitarian meanings a person attributes to the objects as a result of social benefits related to the fulfillment of customers’ functional and construction [12, 52, 49, 53, 29, 39]. According to Belk [4], aesthetical needs. As discussed in the previous section, however, a possessions are often extension of the self. As Belk states, "people mass-customized product can also be a source of benefits resulting seek, express, confirm, and ascertain a sense of being through from uniqueness and self-expressiveness. What characteristics a what they have" [4, p.146]. The above statement implicitly relates sales configurator should have to increase uniqueness and self- identity with consumption. Consumers deliberately acquire things expressiveness benefits is therefore a question that deserves and engage in consumption practices to achieve a pre-conceived additional research, as previously pointed out by Schreier [47] or notion of their selves [46]. Thus, a mass-customized product will Franke and Schreier [28]. accomplish an individual’s need for self-consistency through the possession of a product that is a reflection of his/her self. 3 Research hypotheses 2.2 Sales configurators In addressing the question raised at the end of the previous section, we draw upon the five sales-configurator capabilities Consistent with previous research [23, 32, 30], we define sales conceptualized by Trentin et al.[55, 56] based on prior research on configurators as knowledge-based software applications that sales configurators. For each of these capabilities, we develop support a potential customer, or a sales-person interacting with the hypotheses about its effects on both uniqueness benefit and self- customer, in completely and correctly specifying a product expressiveness benefit, as well as on the traditionally considered solution within a company’s product offer. utilitarian benefit of possessing a mass-customized product. The benefits and challenges of implementing and using a sales In the existing literature, a number of studies make the point that, configurator have been the focus of several researches e.g., [54, to increase the utilitarian benefit of possessing a mass-customized 23, 34, 57, 58, 30-31]. Relatively less studies, however, have product, a sales configurator should support a company’s potential addressed the question of what characteristics a sales configurator customer in learning about the options available within the should have to increase such benefits and alleviate such company’s solution space, in learning about how these options are useful in fulfilling his/her preferences and in learning about his/her description reduces the risk that the configuration task is too preferences themselves e.g., [62, 43, 44] The more a sales difficult and, therefore, the user reacts with frustration. At the same configurator supports such a learning process about one or more of time, such a sales configurator alleviates the risk that the these aspects during the configuration task, the more a potential configuration task is too easy and, thus, the individual gets bored. In customer is enabled to create, within a company’s product space, both cases, the effectiveness of the learning process would be the configuration that best fits with his/her objective needs [59, undermined [3, 63, 41]. 25]. Prior research has focused on product fit with an individual’s A sales configurator with a higher level of focused navigation functional and aesthetical needs, which leads to the traditionally capability increases learning effects by tailoring the sales considered utilitarian benefit. However, this also applies to configuration experience to each individual user’s characteristics on product fit with an individual’s need for asserting his/her own the interaction level [36]. A sales configurator with this capability personality by differentiating his/her self from others. enables its users to freely prioritize their choices regarding the Consequently, such a learning process also augments the various attributes of a product and, therefore, allows them to uniqueness benefit that a customer will enjoy from the possession quickly eliminate options they regard as certainly inappropriate of the configured product. Finally, this also applies to product fit from further consideration [56]. In addition, such a sales with an individual’s need for behaving consistently with his/her configurator enables its users to decide for themselves how many view of his/her self by possessing a product that reflects his/her configuration options they want to tackle, as not all potential self concept. Accordingly, such a learning process also increases customers are necessarily interested in, and/or able to fully exploit the self-expressiveness benefit that a customer will derive from the the potential of customization offered by a company [43]. In this product configuration eventually purchased. manner, this kind of sales configurator reduces the risk that the Clearly, the more effective the learning process enabled by a configuration task is frustrating as well as the risk that it is boring, sales configurator, the greater the utilitarian benefit, the and both of these situations would undermine the effectiveness of uniqueness benefit and the self-expressiveness benefit of the learning process [3, 63, 41]. possessing the configured product. While Franke and Hader [25, A sales configurator with a higher level of benefit-cost p.16] find that the learning effects of single self-customization communication capability promotes a potential customer’s learning experiences lasting only a few minutes with sales configurators process by providing him/her with better pre-purchase feedback on “that were not even specifically designed for learning purposes are the effects of his/her configuration choices. Such a sales remarkable”, we argue that such learning effects are greater if a configurator is more effective in explaining the benefits the sales configurator deploys a higher level of each of the capabilities customer would derive from consumption of the configured conceptualized by Trentin et al. [55, 56] based on prior research product, as well as the monetary and nonmonetary sacrifices that on sales configurators. the customer would bear for obtaining that product [56]. For A sales configurator with a higher level of flexible navigation example, a sales configurator with a higher level of benefit-cost capability allows a potential customer to go through a greater communication capability takes advantage of three-dimensional number of complete trial-and-error cycles to evaluate the effects of Web and virtual try-on technologies to more closely simulate his/her prior choices and to improve upon them. This is because customers’ real-world interactions with their configured products this kind of sales configurator allows its users to change, at any [18, 14]. As the feedback provided by the sales configurator step of the configuration process, the choice they made at any improves, so does the effectiveness of the potential customer’s previous stage without having to begin the process all over again learning process [10]. and allows them to immediately recover a previous configuration Finally, a sales configurator with a higher level of easy in case they decide to reject the newly-created one [56]. By comparison capability increases learning effects by providing better conducting more trial-and-error tests, the potential customer learns pre-purchase feedback on the effects of the configuration choices more about the available choice options and the value he/she made by a potential customer. This is because such a sales would derive from them [59, 60]. configurator allows its users to compare previously-saved A sales configurator with a higher level of user-friendly product configurations on the same screen and to rank-order them based on space description capability promotes a potential customer’s some criterion that is meaningful to the users [56]. Again, the better learning process by increasing the congruence between the the feedback provided, the more effective the customer’s learning challenges of the configuration task and the abilities of the process [10]. configurator user. This is because a sales configurator with this As each of the sales configurator capabilities mentioned above capability presents product space information to potential make the learning process more effective and the effectiveness of customers using the most suitable format (e.g., text, image, such a learning process increases the utilitarian benefit, the animation,…) depending on their skill levels and cognitive styles uniqueness benefit and the self-expressiveness benefit of the and offers different types of choices (e.g., among product configured product eventually purchased, we posit the following functions and performance levels rather than among product hypotheses, which are graphically summarized in Figure 1. components, or vice versa) according to the users’ prior HXa. The higher the level of flexible navigation capability knowledge about the product [56]. In addition, such a sales (H1a), focus navigation capability (H2a), benefit-cost configurator allows its users to decide for themselves how many communication capability (H3a), user-friendly product space feedback details they want to tackle, without forcing them to description (H4a), easy comparison capability (H5a) deployed by a process information content they do not value [56]. By tailoring sales configurator, the greater the utilitarian benefit that a consumer the sales configuration experience to each individual user’s derives from a product self-customized using that configurator. characteristics on both the content and presentation levels [36], a sales configurator with higher user-friendly product space HXb. The higher the level of flexible navigation capability (H1b), focus navigation capability (H2b), benefit-cost three configurators for each product category, and (iii) each of the communication capability (H3b), user-friendly product space triples assigned to each participant included at least one product description (H4b), easy comparison capability (H5b) deployed by a configurator with a high mean score of the five capabilities within the sales configurator, the greater the uniqueness benefit that a corresponding product category and at least one configurator with a consumer derives from a product self-customized using that low mean score of the five capabilities within the same product configurator. category. HXc. The higher the level of flexible navigation capability The data were analyzed through structural equation modeling, (H1c), focus navigation capability (H2c), benefit-cost using LISREL 8.80. Following Anderson and Gerbing [2], we communication capability (H3c), user-friendly product space decided to adopt a two-step approach, assessing construct validity description (H4c), easy comparison capability (H5c) deployed by a before the simultaneous estimation of the measurement and structural sales configurator, the greater the self-expressiveness benefit that a models. Moreover, since our variables did not meet the assumption consumer derives from a product self-customized using that of multivariate normal distribution (Mardia’s test significant at configurator. p<0.001), we applied the Satorra-Bentler correction to produce robust maximum likelihood estimates of standard errors and Chi- square. Prior to conducting the analysis, Prior to conducting the analysis, we decided to control for possible effects of participants’ characteristics. Consequently, and consistent with prior studies (e.g., [37, 56]), we regressed our observed indicators on 75 dummies representing the participants in our study and used the standardized residuals from this linear, ordinary least square regression model as our data in all the subsequent analyses. Confirmatory factor analysis (CFA) was subsequently employed to assess unidimensionality, convergent validity, discriminant validity, and reliability of our measurement scales. We tested a CFA model specifying the posited relations of the observed variables to the underlying latent constructs, with these constructs allowed to correlate freely [2]. Our CFA model showed good fit indices (RMSEA (90% CI)= 0.0489 (0.0445; 0.0533), GFI=0.927, NFI=0.987), meaning that the hypothesized factor structure reproduced the sample data well. The standardized factor loadings were all in the anticipated direction, greater than 0.50 and statistically significant at p<0.001. Altogether, these results Figure 1. Research hypotheses overview suggested unidimensionality (i.e., a set of empirical indicators reflect one, and only one, underlying latent factor) and good convergent 4 Method validity (i.e., the multiple items used as indicators of a construct significantly converge) of our measurement scales [11, 2]. To test our hypotheses we conducted an empirical analysis using Discriminant validity, which measures the extent to which the data collected from a sample of 675 sales-configuration experiences individual items of a construct are unique and do not measure other made by 75 students at the authors’ university (age range: 24-27; constructs, was tested using [22] procedure. For each latent construct, 30% females). Each participant was asked to make one mass- the square root of the average variance extracted (AVE) exceeded the customization experience on each of nine pre-assigned Web-based correlation with all the other latent variables, thus suggesting that our sales configurators and, for each experience, to fill out a measurement scales represent distinct latent variables [22]. questionnaire covering the constructs of interest (see Appendix A), Reliability of the measurement scales was assessed using both AVE for a total of 675 mass-customization experiences. Each experience and the Werts, Linn and Joreskog (WLJ) composite reliability (C.R.) involved browsing the sales-configuration website and configuring method [61]. All the WLJ composite reliability values were greater one product from start to finish, on that website, according to one’s than 0.70 and all the AVE scores largely exceeded 0.50. This own preferences. The nine sales configurators assigned to each indicates that a large amount of the variance is captured by each participant were chosen from a set of 30 real Web- based latent construct rather than being due to measurement error [22, 40]. configurators of consumer goods. The set included ten configurators of notebooks/laptops (e.g., www.dell.com), nine configurators of 5 Results sports shoes/sneakers (e.g., www.converse.com) and eleven configurators of economy cars (e.g., www.volkswagen.com). The After establishing measurement scale reliability and validity for inclusion of multiple product categories, ranging from relatively the focal constructs, we estimated the full model including the simple products with relatively few configuration steps to more hypothesized relationships among the same constructs. Our complex products with more configuration steps, was motivated by hypotheses were that all five sales-configurator capabilities increase the aim of increasing the variation ranges of the independent consumer-perceived utilitarian benefit, uniqueness benefit and self- variables within our sample. To further increase the differences expressiveness benefit of a mass-customized product. Accordingly, among the mass-customization experiences comprising our sample, all five capabilities were modeled as impacting both utilitarian we assigned sales configurators to participants according to the benefit and uniqueness benefit and self-expressiveness benefit. following rules: (i) no pairs of participants were assigned the same Table 2 reports the LISREL estimates of the path coefficients and combination of configurators, (ii) each participant was assigned the corresponding t values. In assessing whether a hypothesis is supported or not, we adopted a p value of 5% as a threshold. This levels of benefit-cost communication and user-friendly product is a conservative choice, as a cut-off value of 10% is often used in space description capabilities, provide feedback information with literature. content and format that are appropriate for promoting potential customers’ learning about the possibility to fulfill customers’ Table 2. Path coefficients of the estimated model functional and aesthetical needs through the consumption of a BCC EC FlexN FocN UFD configured product, but are not appropriate for supporting the same UT Coeff. § 0,283*** 0,102*** 0,132** 0,379*** 0,146* learning process as far as satisfaction of uniqueness and self- † t value 3,654 3,669 2,735 5,237 2,451 consistency needs are concerned. However, these are conjectures; UN Coeff. § 0,004 0,299*** 0,304*** 0,253* 0,034 further research is needed on this issue. † t value 0,036 6,773 4,106 2,537 0,42 The present paper contributes to the debate as to what § SE Coeff. 0,148 0,19*** 0,151** 0,337*** 0,06 characteristics sales configurators should have to increase † t value 1,82 5,346 2,612 4,137 0,95 consumers’ willingness to buy as well as consumers’ willingness to UT = utilitarian benefit BCC = benefit-cost communication pay for a mass-customized product. This debate has typically UN = uniqueness benefit EC = easy comparison focused on a twofold objective: (i) alleviating the difficulty that a SE = self-expressiveness UFD = user-friendly product-space consumer experiences in self-customizing a product with a sales benefit description FlexN = flexible navigation configurator and in making a purchase decision and (ii) increasing FocN = focused navigation the utilitarian benefit deriving from the closeness of fit between the Significant at: *** p < 0.001; ** p < 0.01; * p < 0.05. objective characteristics of the configured product and the † Cut-off t value: 10%: 1.645; 5%: 1.960; 1%: 2.576; 0.1%: 3.29. consumer’s functional and aesthetical needs. Several recommendations have been made by prior, both conceptual and As regards utilitarian benefit, all the estimated path coefficients empirical studies joining this debate, and many of these were positive, as hypothesized, and statistically significant at p< recommendations are subsumed by the five sales-configurator 0.05, indicating that all our hypotheses regarding the utilitarian capabilities considered in this study [56]. Higher levels of these benefit are supported. As regards uniqueness benefit, the estimated capabilities have been found as predicting both higher levels of path coefficients were positive, as hypothesized, and statistically satisfaction with the configured product and higher levels of significant at p< 0.05 for easy comparison, flexible navigation and purchase intention [56]. More recently, the debate has been focused navigation capabilities, but not for benefit-cost enriched by the consideration of the benefits that a consumer can communication and user-friendly product space description gain from the experience of self-customizing a product using a sales capabilities. Therefore, only three of our five hypotheses are configurator above and beyond those deriving from the possession supported. The same pattern of results was found with regard to of the configured product. In particular, Trentin et al. [55] find that self-expressiveness benefit. It is worthwhile noting, however, that the same five sales-configurator capabilities considered in the the estimated path coefficient between benefit-cost present study increase hedonic benefit, which stems from the communication capability and self-expressiveness benefit is capacity of the experience to be gratifying per se, regardless of the statistically significant at p< 0.10, though not at p< 0.05. completion of the configuration task, and creative-achievement benefit, which derives from the capacity of the experience to arouse, in combination with the configured product, the positive emotion of 6 Conclusions pride of authorship. The present study makes an additional contribution to this debate by examining the impacts of the same 6.1 Discussion of results and related work five sales-configurator capabilities on another two benefits that a consumer can enjoy by purchasing a mass-customized product, in The analysis results support the hypotheses that easy addition to the traditionally considered utilitarian benefit: namely, comparison, flexible navigation and focused navigation the benefits of uniqueness and self-expressiveness. capabilities raise not only the utilitarian benefit of possessing a Related work has been conducted in the domain of recommender mass-customized product, but also its uniqueness and self- technologies. Like Web-based sales configurators, recommender expressiveness benefits. These findings improve our applications are intended to support online customers in making understanding of how product configurators should be designed to purchase decisions [45]. With a focus on knowledge-based increase customers’ willingness to pay for a mass-customized recommender applications, Felfernig et al. [16] empirically examine product by triggering uniqueness and self-expressiveness benefits, the effects of a number of possible features of such applications on in addition to utilitarian benefit. a variety of outcome variables, including a consumer’s willingness As regards user-friendly product space description and benefit- to buy and his/her trust in that the application recommended the cost communication capabilities, however, only the hypotheses optimal solution. The examined features include the provision of a that they increase utilitarian benefit are supported, while the others justification for why a product fits to a certain customer, the are not. Two possible explanations can be provided for these possibility of making product comparisons, and the fitting of the unexpected findings. One explanation revolves around the notion interactive user-recommender dialog to the user’s product domain of functional fixedness. Functional fixedness is the phenomenon in knowledge. These features are captured by the capabilities of which an individual finds difficulties in attributing and benefit-cost communication, easy comparison and user-friendly recognizing different types of relationships between objects product space description which are considered in the present study. presented to him/her during decision-making processes or Interestingly, Felfernig et al. [16] find that the recommender problem-solving situations [15]. Another possible explanation is versions exhibiting such features are associated with higher ratings that the existing sales-configurators, even when they deploy higher of users’ trust in the recommended products, which in turn is positively associated with users’ willingness to buy the products. has for me. This result is echoed by our findings that benefit-cost BCC2 Thanks to this system, I realized the advantages and communication, easy comparison and user-friendly product space drawbacks of each of the options I had to choose from. capabilities predict the utilitarian benefit deriving from the BCC3 This system made me exactly understand what value possession of a mass-customized product. the product I was configuring had for me. 6.2 Limitations and further research Easy comparison capability(a) EC1 The system enables easy comparison of product The present research is not without limitations, which might be configurations previously created by the user. addressed in future research. A primary limitation lies in the fact EC2 The system lets you easily understand what previously the empirical study was conducted with engineering students and created configurations have in common. using only three categories of consumer goods. While engineering EC3 The system enables side-by-side comparison of the students are undeniably potential buyers of the considered details of previously saved configurations. products, they constitute a biased sample of the potential EC4 The systems lets you easily understand the differences customers of such goods. In addition, these products represent between previously created configurations. only a small subset of consumer goods. A wider set of products would strengthen the generalizability of the results. Consequently, User-friendly product-space description capability(a) future research should seek to replicate our findings in truly UFD1 The system gives an adequate presentation of the representative samples of potential customers and should use a choice options for when you are in a hurry, as well as wider set of consumer goods. when you have enough time to go into the details. Another limitation of the present study is its focus on the main UFD2 The product features are adequately presented for the effects [17] of the five considered sales-configurator capabilities user who just wants to find out about them, as well as on the three consumer-perceived benefits of interest. In line with for the user who wants to go into specific details. this focus, we neglect possible interaction effects between the five UFD3 The choice options are adequately presented for both capabilities as well as possible contingency effects. Future studies the expert and inexpert user of the product. should be designed to overcome this limitation. Flexible navigation capability(a) FlexN1 The system enables you to change some of the choices 6.3 Managerial implications you have previously made during the configuration process without having to start it over again. While having its limitations, our study not only reinforces the FlexN2 With this system, it takes very little effort to modify importance of the research on the role of sales configurators in the choices you have previously made during the mass-customization strategies, but also provides useful managerial configuration process. implications. By considering additional benefits, besides the FlexN3 Once you have completed the configuration process, utilitarian one, our study increases practitioners’ awareness that this system enables you to quickly change any choice sales/product configurators can be an effective tool to augment the made during that process. consumer-perceived benefits of possessing a mass-customized product. Exploiting such sources of differentiation advantages as Focused navigation capability(a) the fulfillment of consumers’ needs for uniqueness and self- FocN1 The system made me immediately understand which expressiveness can be one key for a company to augment the value way to go to find what I needed. of its mass-customization strategy. For those firms that are FocN2 The system enabled me to quickly eliminate from interested in fulfilling consumers’ needs for uniqueness and self- further consideration everything that was not expressiveness, our theoretical explanations and our empirical interesting to me at all. results highlight the importance of adopting sales configurators FocN3 The system immediately led me to what was more with higher levels of easy comparison, flexible navigation and interesting to me. focused navigation capabilities. This is another step in the FocN4 This system quickly leads the user to those solutions direction of providing practitioners with prescriptive indications that best meet his/her requirements. on how sales configurators should be designed to increase the benefits of possessing mass-customized products. Utilitarian benefit(b) UT1 This product is exactly what I had hoped for. ACKNOWLEDGEMENTS UT2 I could create the product that was the most adapted to what I was looking for. We acknowledge the financial support of the University of Padova, UT3 I could create the product I really wanted to have. Project ID CPDA129273. Uniqueness benefit(b) UN1 With this product, I will not look like everybody else. APPENDIX A. Measurement instrument UN2 With this program, I could design a product that others Benefit-cost communication capability(a) will not have. BCC1 Thanks to this system, I understood how the various UN3 With this product, I have my small element of choice options influence the value that this product differentiation compared to others. [18] A.M Fiore, S.E. Lee, and G. Kunz. 'Individual differences, motivations, Self-expressiveness benefit(b) and willingness to use a mass customization option for fashion SE1 I could create a product that is just like me. products', European Journal of Marketing, 38(7), 835-49, (2004). [19] A.F. Firat, and A Venkatesh, 'Liberatory Postmodernism and the SE2 This product reflects exactly who I am. Reenchantment of Consumption', Journal of Consumer Research, 22, SE3 This product is in my own image. December, 239-67, (1995). (a) [20] F.S. Fogliatto, G.J.C. da Silveira and D. Borenstein, 'The mass Trentin et al.[56] customization decade: an updated review of the literature', International (b) Merle et al. [38] Journal of Production Economics, 138(1),14–25, (2012). [21] H.L. Fromkin, 'A social psychological analysis of the adoption and diffusion of new products and practices from a uniqueness REFERENCES motivation perspective'. In D.M. Gardner (Ed.), Proceedings of the 2nd annual Conference of the Association far Consumer [1] M. Addis and M.B. Holbrook, 'On the conceptual link between mass Research, College Park, MD: Association for Consumer customisation and experiential consumption: an explosion of Research, 464-469, (1971). subjectivity'. Journal of Consumer Behaviour, 1(1), 50-66, (2001). [22] C. Fornell and D.F. Larcker, 'Evaluating structural equation models [2] J.C. Anderson, D.W. Gerbing, 'Structural equation modeling in with unobservable variables and measurement error', Journal of practice: a review and recommended two-step approach', Marketing Research, 18(1), 39–50, (1981). Psychological Bulletin, 103(3), 411–423, (1988). [23] C. Forza and F. Salvador, 'Application support to product variety [3] A. Bandura, 'Perceived self-efficacy in cognitive development and management', International Journal of Production Research, 46(3), functioning', Educational Psychologist, 28(2), 117–48, (1993). 817–836, (2008). [4] R.W. Belk, 'Possessions and the extended self', Journal of Consumer [24] C. Forza and F. Salvador, 'Product configuration and inter-firm co- Research, 15, 139-168, (1989). ordination: an innovative solution from a small manufacturing [5] R.W. Belk, J.F. Sherry and M. Wallendorf, 'A naturalistic inquiry into enterprise', Computers in Industry, 49(1), 37–46, (2002). buyer and seller behavior at a swap meet', Journal of Consumer [25] N. Franke and C. Hader, 'Mass or Only "Niche Customization"? Why Research, 14(4), 449-470, (1988). We Should Interpret Configuration Toolkits as Learning Instruments', [6] T. Blecker and G. Friedrich, Mass Customization Information Systems Journal of Product Innovation Management, 31(5), in press (2013). in Business, IGI Global, London, UK, 2007. [26] N. Franke, M. Schreier and U. Kaiser, 'The "I designed it myself’’ [7] T. Blecker, N. Abdelkafi, B Kaluza and G. Friedrich, 'Key metrics effect in mass customization', Management Science, 56(1), 125–140, system for variety steering in mass customization', in: Piller, F. (2010). T./Reichwald, R./Tseng, M. (Eds.): Competitive Advantage Through [27] N. Franke and M. Schreier, 'Why customers value self-designed Customer Interaction: Leading Mass Customization and products: the importance of process effort and enjoyment', Journal of Personalization from the Emerging State to a Mainstream Business Product Innovation Management, 27(7), 1020–1031, (2010). Model. Proceedings of the 2nd Interdisciplinary World Congress on [28] N. Franke and M. Schreier, 'Product uniqueness as a driver of customer Mass Customization and Personalization- MCPC’03, Munich, utility in mass customization', Marketing Letters 19(2), 93–107, (2008). October 6-8, (2003). [29] G. Ger, S. Askegaard and A . Christensen, 'Experiential Natural of [8] M.B. Brewer, 'The social self: On being the same and different at Product- Place Images: Image as a Narrative' in Arnould, E. J. and the same time', Personality and Social Psychology Bulletin, 17, Scott, L. M. (Eds), Advances in Consumer Research, 26, Association 475-482, (1991). for Consumer Research, Provo, UT, 165-9, (1999). [9] M.B. Brewer, J.M Manzi and J.S. Shaw, 'In-group identification as a [30] L. Haug, L. Hvam and H.N. Mortensen, 'The impact of product function of depersonalization, distinctiveness, and status', configurators on lead- times in engineering-oriented companies', Psychological Science, 4(2), 88-92, (1993). Artificial Intelligence for Engineering Design, Analysis and [10] D.L. Butler and P.H. Winne, 'Feedback and self-regulated learning:A Manufacturing, 25(2), 197–206, (2011). theoretical synthesis', Review of Educational Research, 65(3), 245– [31] A. Haug, L. Hvam and N.H. Mortensen, 'Definition and evaluation of 81, (1995). product configurator development strategies', Computers in Industry, [11] D.T. Campbell and D.W. Fiske, 'Convergent and discriminant 63(5), 471–481, (2012). validation by the multitrait-multimethod matrix', Psychological [32] M. Heiskala, J. Tiihonen, K.S. Paloheimo and T. Soininen, 'Mass bulletin, 56(2), 81, (1959). customization with configurable products and configurators: a review of [12] R.L. Celsi, R.L. Rose and T.W. Leigh, 'An Exploration of High-Risk benefits and challenges, in: T. Blecker, G. Friedrich (Eds.), Mass Leisure Consumption through Skydiving', Journal of Consumer Customization Information Systems in Business, IGI Global, Research, 20, June, 1-23, (1993). London, UK, 1–32, 2007. [13] C.C. Chang, H.Y. Chen and I.C. Huang, 'The interplay between [33] M.B Holbrook, Introduction to Consumer Value in Holbrook, M. B. customer participation and difficulty of design examples in the online (Ed), Consumer Value: A Framework For Analysis and Research, designing process and its effects on customer satisfaction: mediational Routledge, London, 1-28, 1999. analyses', CyberPsychology & Behavior, 12(2),147–154, (2009). [34] L. Hvam, S. Pape and M.K. Nielsen, 'Improving the quotation process [14] K. Dai, Y. Li, J. Han, X. Lu, and S. Zhang, 'An interactive web with product configuration', Computers in Industry, 57(7), 607– system for integrated three-dimensional customization', Computers in 621, (2006). Industry, 57(8-9), 827-37, (2006). [35] P. Jiang, 'Exploring consumers’ willingness to pay for online [15] K. Duncker, 'The Structure and Dynamics of Problem-Solving customisation and its marketing outcomes', Journal of Targeting Processes', Psychological monographs, 58(5), 1-112, (1945). Measurement & Analysis for Marketing, 11(2), 168–183, (2002). [16] A. Felfernig, B. Gula, E. Teppan, 'User Acceptance of Knowledge- [36] G. Kreutler and D. Jannach, 'Personalized needs acquisition in Web- based Recommenders, Machine Perception and Artificial based configuration systems', in: T. Blecker, G. Friedrich (Eds.), Mass Intelligence', World Scientific Publishers, 70, 249-276, 2007. Customization, Concepts-Tools-Realization, Proceedings of the [17] J.W. Finney, R.E. Mitchell, R.C. Cronkite and R.H. Moos, International Mass Customization Meeting 2005 (IMCM'05), GITO- 'Methodological issues in estimating main and interactive effects: Verlag, Berlin, Germany, 293-302, (2005). examples from coping/social support and stress field', Journal of [37] G. Liu, R. Shah and R.G. Schroeder, 'Linking work design to mass Health & Social Behavior, 25(1) 85–98, (1984). customization: a sociotechnical systems perspective', Decision Sciences, 37(4), 519–545, (2006). [38] A. Merle, J.L. Chandon, E. Roux and F. Alizon, 'Perceived value of [59] E. von Hippel, 'Perspective: user toolkits for innovation', Journal of the mass-customized product and mass customization experience for Product Innovation Management, 18(4) 247–257, (2001). individual consumers', Production & Operations Management, 19(5), [60] E. von Hippel and R. Katz, 'Shifting Innovation to Users via Toolkits', 503–514, (2010). Management Science, 48(7), 821–833, (2002). [39] K. O'Donnell, 'Good Girls Gone Bad, The Consumption of Fetish [61] C.E. Werts, R.L. Linn and K.G. Jo, 'Reskog, Intraclass reliability Fashion and the Sexual Empowerment of Women' in E. J Arnould and estimates: testing structural assumptions', Educational & Psychological L.M. Scott, (Eds), Advances in Consumer Research, 26, Association Measurement, 34(1), 25–33, (1974). for Consumer Research, Provo, UT, 184-89, (1999). [62] J. Wind and A. Rangaswamy, 'Customerization: The next revolution in [40] S.W. O’Leary-Kelly and R.J. Vokurka, 'The empirical assessment of mass customization', Journal of Interactive Marketing, 15(1), 13–32, construct validity', Journal of Operations Management, 16(4), 387– (2001). 405, (1998). [63] P.H. Winne. 'Experimenting to bootstrap self-regulated learning', [41] R. Pekrun, T. Goetz, W. Titz, and R. P. Perry, 'Academic emotions in Journal of Educational Psychology, 89(3), 397–410, (1997). students’ self-regulated learning and achievement: A program of [64] J.L. Zaichkowsky, 'Conceptualizing involvement', Journal of qualitative and quantitative research', Educational Psychologist, advertising, 15(2), 4-34, (1986). 37(2), 91–106, (2002). [42] B.J. Pine II, Mass Customization – The New Frontier in Business Competition, Harvard Business School Press, Cambridge, MA, 1993. [43] T. Randall, C. Terwiesch and K.T. Ulrich, 'Principles for user design of customized products', California Management Review, 47 (4), 68–85, (2005). [44] F. Salvador and C. Forza, 'Principles for efficient and effective sales configuration design', International Journal of Mass Customisation, 2(1–2), 114–127, (2007). [45] J.B. Schafer, J.A. Konstan, and J. Riedl, 'E-commerce recommendation applications', Data Mining and Knowledge Discovery, 5(1-2), 115–153, (2001). [46] H.J. Schau,'Consumer Imagination, Identity and Self-Expression', in NA - Advances in Consumer Research Volume 27, (Eds.) J. Stephen Hoch and R.J. Meyer, Provo, UT: Association for Consumer Research, 50-56, (2000). [47] M. Schreier, 'The value increment of mass-customized products: an empirical assessment', Journal of Consumer Behaviour, 5(4), 317– 327, (2006). [48] M. J Sirgy, 'Self-concept in consumer behavior: a critical review', Journal of consumer research, 9(3), 287-300, (1982). [49] D. Slater, Consumer Culture and Modernity. Polity Press, Cambridge, UK,1997. [50] C.R. Snyder, ' Product scarcity by need for uniqueness interaction: A consumer catch-22 carousel?', Basic Appl. Soc. Psychol, 13(1), 9–24, (1992). [51] B. Squire, S. Brown, J. Readman and J. Bessant, 'The impact of mass customisation on manufacturing trade-offs, Production & Operations Management, 15(1),10–21, (2006). [52] C.J., Thompson, 'Caring Consumers, Gendered Consumption Meanings and the Juggling Lifestyle', Journal of Consumer Research, 22(4), 388-407, (1996). [53] C.J. Thompson, and D. L. Haytko, 'Speaking of Fashion, Consumers' Uses of Fashion Discourses and the Appropriation of Countervailing Cultural Meanings', Journal of Consumer Research, 24(1),15-42, (1997). [54] J. Tiihonen, T. Soininen, T. Männistö and R. Sulonen, State-of-the- practice in product configuration – a survey of 10 cases in the Finnish industry, in: T. Tomiyama, M. Mäntylä, & S. Finger (Eds.) ; Knowledge intensive CAD, Chapman & Hall, London, UK, 95–114, 1996. [55] A.Trentin, E. Perin and C. Forza, 'Increasing the consumer-perceived benefits of a mass-customization experience through sales- configurator capabilities' Computers in Industry, 65(4), 693-705, (2014). [56] A. Trentin, E. Perin and C. Forza, 'Sales configurator capabilities to avoid the product variety paradox: construct development and validation', Computers in Industry, 64(4), 436–447, (2013). [57] A.Trentin, E. Perin and C. Forza, 'Product configurator impact on product quality', International Journal of Production Economics, 135 (2), 850–859, (2012). [58] A.Trentin, E. Perin and C. Forza, 'Overcoming the customization- responsiveness squeeze by using product configurators: Beyond anecdotal evidence', Computers in Industry, 62(3), 260–268, (2011).