The Impact of Word of Mouth Sources on the Perceived Usefulness of an Innovation

This paper examines the role of three indirect mechanisms linking word‐of‐mouth communication with one of the most important innovation attributes influencing the adoption decision: perceived usefulness. The authors hypothesize that word‐of‐mouth (WOM) communication impacts perceived usefulness by influencing potential adopter perceptions of the credibility of innovation information, the size of the adopter population, and the availability of complementary products. To test these hypotheses, the authors analyze the survey responses of over 550 potential adopters of e‐readers and smartphones. In both product samples, the perceived credibility of WOM information is positively related with perceived usefulness, which is positively related with purchase intent. Consistent with theoretical arguments regarding the importance of access to expert information sources, findings indicate that, relative to personal WOM, written and virtual WOM have stronger relationships with consumer perceptions of the credibility of innovation information. In addition, in both samples, perceived usefulness is positively related with the perceived availability of complementary products, which is positively related with both personal and written word‐of‐mouth. Finally, perceived usefulness has (1) a direct relationship with the perceived size of the local adopter population in the e‐reader sample and (2) an indirect relationship with the same variable that is mediated by the perceived availability of complementary products in both samples. In turn, the perceived size of the local adopter population is positively related with exposure to personal word‐of‐mouth.     

The Effect of Personal and Virtual Word‐of‐Mouth on Technology Acceptance

This paper extends the Technology Acceptance Model (TAM) to incorporate the impact of personal and virtual word‐of‐mouth (pWOM and vWOM). The authors hypothesize that both types of word‐of‐mouth will be positively related with consumer perceptions of innovation usefulness and perceived ease of use. In addition, the authors examine two competing hypotheses regarding the relative impact of pWOM and vWOM on perceptions of innovation attributes. One hypothesis argues that potential adopters place more weight on pWOM sources because they perceive relatively more similarity between themselves and pWOM sources. The alternative hypothesis argues that potential adopters place more weight on vWOM sources because those sources (relative to pWOM sources) expose potential adopters to a wider variety of information and a larger number of experts. Finally, the authors argue that symbolic product usage will enhance the relationship between word‐of‐mouth and consumer perceptions of innovation attributes. These hypotheses are tested using data collected in Japan from over 600 potential adopters of Blu‐ray DVD recorders and smart phones. Findings indicate that, in both product categories, pWOM and vWOM are positively and significantly related with perceived ease of use. Moreover, in both samples pWOM is positively and significantly related with perceived usefulness, while vWOM is significantly related with perceived usefulness only in the smart phone sample. With regard to the relative impact of pWOM and vWOM on perceptions of innovation attributes, results indicate that vWOM has a larger impact on potential adopter perceptions of ease of use. Finally, the estimated model provides support for the hypothesis that symbolic consumption increases the impact of word‐of‐mouth on perceptions of innovation attributes. In particular, findings indicate that the impact of pWOM on perceptions of innovation usefulness is higher among potential adopters of smart phones than among potential adopters of Blu‐ray DVD recorders. Similarly, the impact of vWOM on perceptions of ease of use is higher among potential smart phone adopters than among potential adopters of Blu‐ray DVD recorders.     

Personal Word of Mouth,Virtual Word of Mouth,and Innovation Use

The authors examine the impact of word‐of‐mouth communication on innovation use. Hypotheses are developed linking both personal and virtual word of mouth (vWOM) directly to innovation use. The authors also examine the mediating role of two additional variables that link word of mouth and innovation use. Existing research suggests that personal word of mouth (pWOM) indirectly influences intensity of innovation use through its impact on consumer perceptions of the size of local adopter population. In addition, both personal and virtual word‐of‐mouth influence should be positively associated with consumer perceptions of the availability of complementary products, which prior studies have linked to variety of innovation use. The authors test these hypotheses using data collected from 247 Japanese adopters of new‐generation portable gaming devices. Findings indicate that both personal and virtual word of mouth are directly related with variety of innovation use, which is in turn related with intensity of use. In addition, pWOM is positively related with both intensity of use and variety of use through its impact on consumer perceptions of (1) the perceived size of the local adopter population and (2) the availability of complementary products. In contrast, through these same two paths, vWOM is negatively related with both intensity of use and variety of use.     

The Role of Product Originality,Usefulness and Motivated Consumer Innovativeness in New Product Adoption Intentions

Prior research has posited that product attributes are primary drivers of success that a firm must consider to develop a competitive advantage. Two product attributes, originality and usefulness, have been identified in the literature as significant dimensions of new product success. Customer demands differ, and more purchase intentions toward a new product depend on how consumers connect the product attributes to their own individual characteristics. Studying motivated consumer innovativeness as a personality trait may improve our understanding of the motivations for adopting innovations; however, questions remain regarding whether the effects of originality and usefulness on consumers' intentions to adopt are different when levels of these attributes are matching or dissimilar and what the relationship is between these effects and motivated consumer innovativeness. This study seeks to empirically investigate these effects and their relations by collecting data from 560 potential consumers in China. This paper uses hierarchical regression analysis to test hypotheses in four product domains as representative of higher or lower levels of usefulness and originality. The research shows that new product originality affects consumers' intentions to adopt new products only if it matches the level of new product usefulness. The results also reveal that motivated consumer innovativeness has a positive moderating role on the relationship between new product originality and consumers' new product adoption intentions when both attributes are at a lower level. The theoretical and practical implications for new product development and marketing communications are discussed.     

Determinants of Innovative Durables Adoption

This research uses innovation characteristics to assess product potential at two points in time. The two phases of the study consist of: (1) proposing and estimating purchase intention models and (2) reconciling predicted success with actual product performance. The investigation focuses on the impact of perceived product attributes, environmental variables, and consumer traits on the purchase intention of actual innovations within several technologically intensive product categories. Differences in model specification and parameter values are noted across product types. Results indicate consistency in the impact of product attributes across categories on an innovation's acceptability, but suggest differences in model specification with respect to environmental variables and consumer traits. The existence of a generic-to-specialized innovation continuum is a possible cause of the heterogeneity in results across products. An ex post analysis of the innovations indicates that, while success can be predicted quite accurately using perceived product attribute ratings, consumer and environmental variables should not be ignored for particular categories. The study has implications for the early screening of innovative durables, specifically with respect to forecasting model potential, determining product design and positioning, and developing promotional messages.     

Commercializing Technological Innovation: Learning from Failures in High‐Tech Markets*

Commercialization is known to be a critical stage of the technological innovation process, mainly because of the high risks and costs that it entails. Despite this, many scholars consider it to be often the least well managed phase of the entire innovation process, and there is ample empirical evidence corroborating this belief. In high‐tech markets, the difficulties encountered by firms in commercializing technological innovation are exacerbated by the volatility, interconnectedness, and proliferation of new technologies that characterize such markets. This is clearly evinced by the abundance of new high‐tech products that fail on the market chiefly due to poor commercialization. Yet there is no clear understanding, in management theory and practice, of how commercialization decisions influence the market failure of new high‐tech products. Drawing on research in innovation management, diffusion of innovation, and marketing, this article shows how commercialization decisions can influence consumer acceptance of a new high‐tech product in two major ways: (i) by affecting the extent to which the players in the innovation's adoption network support the new product; (ii) by affecting the post‐purchase attitude early adopters develop toward the innovation, and hence the type of word‐of‐mouth (positive or negative) they disseminate among later adopters. Lack of support from the adoption network is found to be an especially critical cause of failure for systemic innovations, while a negative post‐purchase attitude of early adopters is a more significant determinant of market failure for radical innovations. There follows a historical analysis of eight innovations launched on consumer high‐tech markets (Apple Newton, IBM PC‐Junior, Tom Tom GO, Sony Walkman, 3DO Interactive Multiplayer, Sony MiniDisc, Palm Pilot, and Nintendo NES), which illustrates how commercialization decisions (i.e., timing, targeting and positioning, inter‐firm relationships, product configuration, distribution, advertising, and pricing) can determine lack of support from the innovation's adoption network and a negative post‐purchase attitude of early adopters. The results of this work provide useful insights for improving the commercialization decisions of product and marketing managers operating in high‐technology markets, helping them avoid errors that are precursors of market failure. It is also hoped the article will inform further research aimed at identifying, theoretically and empirically, other possible causes of poor customer acceptance in high‐tech markets.     

Factors Influencing the Adoption of Mass Customization: The Impact of Base Category Consumption Frequency and Need Satisfaction

Mass customization has received considerable interest among researchers. However, although many authors have analyzed this concept from different angles, the question of which factors can be used to spot customers most likely to adopt a mass‐customized product has not been answered to a satisfactory extent until now. This article explicitly deals with this question by focusing on factors related to the base category, which is defined as the group of all standardized products within the same product category as the mass‐customized product under investigation. Specifically, this article investigates the influence of a customer's base category consumption frequency and need satisfaction on the decision to adopt a mass‐customized product within this base category. A set of competing hypotheses regarding these influences is developed and subsequently evaluated by a combination of partial least squares and latent class analysis. This is done by using a sample of 2,114 customers surveyed regarding their adoption of an individualized printed newspaper. The results generated are threefold: First, it is shown that there is a significant direct influence of base category consumption frequency and need satisfaction on the behavioral intention to adopt. The more frequently a subject consumes products out of the base category or the more satisfied his or her needs are due to this consumption, the higher the behavioral intention to adopt a mass‐customized product within this base category. Second, the article provides an indication that base category consumption frequency has a significant moderating effect when investigating the behavioral intention to adopt in the context of the theory of reasoned action and the technology acceptance model. The more frequently a subject consumes products out of the base category, the more important will be the impact of perceived ease of use mediated by perceived usefulness. Finally, this article shows that different latent classes with respect to unobserved heterogeneity regarding the latent variables base category need satisfaction or dissatisfaction have significantly different adoption behaviors. Individuals who show a high level of need dissatisfaction are less interested in the ease of use of a mass‐customized product than its usefulness (i.e., increase in need satisfaction). On the other hand, subjects who have a high degree of base category need satisfaction base their adoption decision mainly on the ease of use of the mass‐customized product. These results are of managerial relevance regarding the prediction of market reactions and the understanding of the strategic use of product‐line extensions based on mass‐customized products. This work provides an indication that base category consumption frequency and need satisfaction positively influence the behavioral intention to adopt a mass‐customized product. Hence, mass customization can be seen as one way to deepen the relationship with existing clients.     

Being Innovative While Being Green: An Experimental Inquiry into How Consumers Respond to Eco‐Innovative Product Designs

Eco‐innovations are an effective way for companies to strategically align themselves with customers’ growing environmental concerns. Despite their crucial role, scant research has focused on eco‐innovative product designs. Drawing from the sustainability and innovation literature, this article proposes that in the design of an eco‐innovation, its degree of innovativeness, level of eco‐friendliness, and detachability significantly affect consumers' adoption intentions. This article develops various conceptual models tested through three independent online experiments with U.S. consumers. The findings support the hypotheses and provide useful insights into the underlying mechanisms of how and why consumers respond to eco‐innovative product designs across various high‐tech product categories. Specifically, the results show (1) a positive effect of innovativeness degrees of eco‐innovative attributes on consumers' perceptions of product eco‐friendliness and on their adoption intentions as well as a significant moderating role of consumers' need for cognition (Study 1); (2) a positive influence of eco‐friendliness levels of eco‐innovative attributes on consumer adoption intentions in the case of high‐complexity products but not for low‐complexity products, emphasizing the need to adopt different approaches when developing eco‐innovations to ensure favorable consumer reactions (Study 2); and (3) a significant impact of the detachability of eco‐innovative attributes on consumers' perceptions of trade‐offs between environmental benefits and product functionality and on their intentions to adopt eco‐innovations (Study 3). These findings add to existing theoretical knowledge, provide actionable managerial implications, and identify fruitful avenues for future research.     

Virtual Word of Mouth and Willingness to Pay for Consumer Electronic Innovations

The authors examine the impact of virtual word‐of‐mouth (vWOM) communication on willingness to pay (WTP) for an innovation. A series of hypotheses are developed that link vWOM to the credibility of innovation information, perceived utilitarian value, and the perceived hedonic value of an innovation, which are in turn hypothesized to influence WTP. The authors test these hypotheses using data collected in Japan from 658 potential adopters of e‐readers and from 565 potential adopters of smartphones. Findings indicate that, in both samples, vWOM is positively correlated with the perceived credibility of innovation information, which in turn is positively correlated with both perceived utilitarian value and perceived hedonic value. WTP is also positively correlated with an innovation's perceived utilitarian and perceived hedonic value. In addition, the path between vWOM and perceived hedonic value is positive and significant in both samples. However, the path between vWOM and perceived utilitarian value is positive and significant in the smartphone sample, but not in the e‐reader sample. The empirical findings provide support for theoretical arguments that link WTP for complex consumer electronic products to consumer perceptions of utilitarian and hedonic value. The results also have important implications for the creation of vWOM strategies designed to reduce the price sensitivity of potential adopters.     

Technology revolutions in the presence of network externalities

The purpose of this paper is to investigate the effect of varying consumer preferences over technology advance and network size on the timing and frequency of new technology adoption in the presence of installed bases resulting from network externalities. The paper shows that the duration of each adopted technology and the frequency of technology adoptions depend on (a) whether (in consumers' perspectives) the network size effect is a substitute for or a complement to the quality of the technologies; (b) the degree of compatibility of new technologies with the old technology; and (c) the technology growth rate and consumer population size.     

What makes consumers use VoIP over mobile phones? Free riding or consumerization of new service

Consumer acceptance of technological innovations is crucial to marketing strategy and policy development. This study analyzes consumer behaviors in mobile voice over Internet protocol (mVoIP), focusing on the antecedents of consumers' intentions. Using a context-specific extension of the Technology Acceptance Model, mVoIP acceptance was investigated based on the salient belief of perceived usefulness, perceived ease of use, and facilitating factors. The results show that quality factors of mVoIP significantly influence the usefulness and ease of use, which subsequently affect the adoption of the technology. Call and service quality were found to be significant factors, followed by mobility and coverage. The policy and managerial implications of mVoIP are discussed based on the model. In conclusion, this study provides in-depth analysis and heuristic data on the consumer drivers, market dynamics, and policy implication within the mVoIP ecosystem.     

MVNO services: Policy implications for promoting MVNO diffusion

This study seeks to validate a comprehensive model of consumer acceptance in the context of MVNOs. While the MVNO business model has gained much popularity over the past few years, it shows a sign of drastic decrease. This study uses the unified theory of acceptance and the use of technology (UTAUT) model with constructs from the innovation diffusion theory (IDT) such as compatibility, relative advantage and social influence. Structural equation modeling is used to construct a predictive model of attitudes toward the MVNO services. While the model confirms the classical role of technology adoption factors (i.e., perceived usefulness and ease of use are key antecedents to consumers’ intention), the results also show that users’ intention and usage are influenced by IDT factors. The model brings together extant research on MVNO and provides an important cluster of antecedents to eventual technology acceptance via constructs of behavioral intention to use and to the actual MVNO usage. Policy implications of MVNO are discussed in terms of consumer adoption and market diffusion.     

Information,Promotion, and the Adoption of Innovative Consumer Durables*

The diffusion of innovative new products is critically dependent on the transmission of relevant information to potential adopters. Existing research indicates that the relative effectiveness of different communication tools depends on the type of information being communicated. Written and verbal communication tools can be effective when consumers make adoption decisions based on search attributes. However, when adoption depends on experience attributes, marketers must find ways to effectively expose consumers to these attributes. In this paper the authors explore the effectiveness of promotional incentives in motivating consumers to engage in behaviors that should increase their understanding of an innovation's experience attributes. To the authors' knowledge, the research described here is the first published study of the relative effectiveness of different promotional vehicles in stimulating adoption of a consumer durable. The empirical analysis is based on data collected in a real‐world experiment involving 614 households. Just over half of these households received a free DVD movie disc as an incentive to participate in the study. The authors assigned the participating households to four treatment groups of 100 households each and a control group of 214 households. The households in the treatment groups received one of four promotional offers that featured some form of a $50 monetary incentive. These promotional offers differed in the degree to which they encouraged behavior that exposed consumers to the experience attributes of a DVD player. After one month the authors surveyed these households again to determine how many purchased a DVD player in the preceding month. An analysis of this experimental data reveals that all four monetary promotions significantly enhanced the probability of adoption. In particular, the average adoption rate among the households receiving one of the monetary incentives was 41%. In contrast, none of the households in the control group reported purchasing a DVD player. Promotions that paid consumers for specific behaviors that precede purchase were no less effective than a coupon that reduces the purchase price by an equivalent amount. In addition, promotions that directly exposed consumers to experience attributes were more effective than promotions that simply provided consumers with the opportunity to learn about experience attributes. Finally, the gift of a free complementary product (a DVD movie) enhanced the effectiveness of three of the four monetary promotions. The authors close with a discussion of managerial implications and directions for future search.     

Using Product Bundling to Facilitate the Adoption Process of Radical Innovations*

Generally, radical innovations are not easily adopted in the market. Potential adopters experience difficulties to comprehend and evaluate radical innovations due to their newness in terms of technology and benefits offered. Consequently, adoption intentions may remain low. This paper proposes bundling as an instrument to address these problems. More specifically, this paper examines how consumer comprehension, evaluation, and adoption intention of radical innovations may be enhanced by bundling such products with existing products. In addition, it is argued that the proposed effects are contingent upon the level of fit perceived to exist between the radical innovation and the product that accompanies it in the bundle. Furthermore, consumers' prior knowledge may affect the influence of bundling on the innovation adoption process as the interpretation of the meaning of new products may be strongly related to prior knowledge. This study therefore investigates whether consumer prior knowledge has such a moderating effect. Hypotheses are tested by means of an experimental study with three different radical innovations and distinguishing among offering the radical innovation separately, offering the radical innovation in a bundle with moderate perceived fit between the products, and offering the radical innovation in a bundle with high perceived fit between the products. Results show that product bundling enhances the new product's evaluation and adoption intention, although it does not increase comprehension of the radical innovation. Moreover, the results show that comprehension, evaluation and adoption intention of the innovation significantly decrease when consumers perceive a moderate fit between the products in a bundle. Taken together, these findings contribute to the bundling literature by showing not only that product bundling may indeed be an effective instrument to introduce a radical innovation but also that product bundling may be counterproductive when ignoring the critical role of perceived product fit as core characteristic of a product bundle. In addition, the notion that product bundling helps to enhance the evaluation and purchase intention of new and relatively complex products suggests a suitable strategy for new product managers to enhance benefits and reduce learning costs for radical innovations. Moreover, the effects of bundling on consumer appraisals of radical innovations are also shown to depend on the level of knowledge respondents possess regarding the product category of the radical innovation. More specifically, if bundled with a familiar product, novices tend to evaluate the innovative product more positively, but for experts no such effect can be detected. As such, these results provide additional specific implications for managers when introducing radical innovations in the market. Offering a radical innovation in a product bundle could be a fruitful strategy for companies that target customers with little or no prior knowledge in the product domain.     

The Estimation of a Cusp Model to Describe the Adoption of Word for Windows*

This article revisits earlier work in this journal by Paul Herbig (1991) that proposed a catastrophe model of industrial product adoption under certain conditions. Catastrophe models are useful for modeling situations where organizations can exhibit both smooth and abrupt adoption behavior. It extends Herbig's work by focusing on organizations' adoption of new products when network externalities are an important part of the decision process, and it presents an empirical estimation of the model. Network externalities occur when firms do not want to adopt a new innovation or product unless other firms do. The reason is that they do not want to end up with an innovation that ends up not being a standard of some sort. Mistakes of this nature can be costly as the firm must invest twice and loses time relative to competitors who have not made such a mistake. However, when such externalities exist, for example with regard to technological adoptions, then normal diffusion gives way to sudden discontinuous shifts as all firms seemingly act together an move to a new technology. Since, technology is an area where the authors expect network externalities to exist, that is the focus of this article. The specific application is developed from two sets of panel data on the organizational adoptions of Microsoft's (MS) Word for Windows software by organizations that previously were using either Word for DOS or Word for Macintosh (Mac). The theoretical framework for the analysis is based on work in the economics literature on network externalities. However, the organization and new product development catastrophe model comes primarily from Herbig (1991) . The article focuses on an area of organizational adoption where relatively little empirical research has been done, namely organizational adoption “for use.” Longitudinal data provided by Techtel Corporation is used to develop the estimations. Results of the empirical analysis are consistent with the theoretical framework suggested in Herbig's article and in those found in economics and catastrophe theory literatures. This lends clear support to the idea that organizations will adopt a bandwagon‐type behavior when network externalities are present. It further suggests that in such markets, the standard S‐shaped diffusion curve is not an appropriate model for examining organizational behavior. From a managerial perspective, it means that buyers and sellers may face nonstandard diffusion curves. Instead of S‐shaped curves, the actual curves have a break or rift where sales end, and there is a sudden shift to a new product that is relatively high very early on. Clearly, for new product development (NPD), it suggest that organizations' “for‐use” purchases may be similar to regular consumers and may change rapidly from one product to another almost instantly, as in the case of the switch from vinyl records to compact discs (CDs). From an old product seller's viewpoint, the market is here today and gone tomorrow, while for the new seller it is a sudden deluge of sales requests. To put it in more everyday terms, sudden changes in adoption behavior are a September 11‐type experience for the market. It is the day the world changes.     

Exploring Adaptivity in Service Development: The Case of Mobile Platforms

Together with the developing technologies of a fast‐evolving Web environment, computers, and handheld devices, human–computer interaction is gaining more importance. User interface, as the interactive layer between user and information systems, has a great role in system adoption. Based on a technology acceptance model, acceptance of a system can be explained as a function of perceived usefulness (PU) and perceived ease of use (PEOU). Because several external variables have impact on PU and PEOU, the content and interface design of every single application should be addressed accordingly in a way that enhances the consumer's attitude about using the system by considering the impact of external variables through system usage. The objective of this study was to uncover potential external variables that may influence PEOU and PU, and indirectly influence behavioral attitude in mobile service acceptance and to explore the effects of those variables, primarily adaptivity and the relationships of all the variables among each other, through the limited interface of a mobile platform. Thus, developers will be able to relate the tuning of product features to the adoption of the products they are developing based on a platform.     

The organizational adoption of high-technology products “for use”: Effects of size, preferences, and radicalness of impact

This research reports the results of a study on organizational adoption of high-technology products “for use” in contrast to “for manufacture.” Additionally, the study examines high-technology adoptions which often have different issues that are important to the decision process relative when compared to the adoption of less-technical products. For example, the level of compatibility or the availability of complementary products (e.g., network externality considerations) are often important issues for high-technology adoptions. As such, this study provides additional information in the relatively underresearched organizational adoption literature, particularly as it relates to high-technology products. In order to maintain connectivity with past work, we look at the firm size versus adoption issue. At the same time, we add new information by also examining how organizational preferences for products, and the degree of radicalness of the products affect organizational adoption. We use a proportional-hazards model to test our hypotheses using panel data on 400 firms that are drawn from 14 industries. As part of the research effort we developed an improved scale for judging the radicalness of a product than has been used in prior research. Furthermore, we extended the Booz, Allen, & Hamilton New Product Categories (1982) approach to incorporate innovation impact. As expected, the results show that size “does matter,” but that it is modified by degree of product radicalness and organizational preference. Interestingly, we found that for high-technology products “for use,” organizations prefer radical impact products but adopt incremental impact products. Hence, preferences and purchase behaviors do not match.     

Forecasting New Product Adoption with Probabilistic Neural Networks

Forecasting the adoption of innovative products is an important managerial task. In this paper we examine the usefulness of a probabilistic neural network (PNN) algorithm for forecasting new product adoption. We compare this approach with one widely accepted forecasting procedure, the binomial logit model, and two other neural network algorithms: a feed‐forward neural network model estimated with backward propagation (NNBP), and a feed‐forward neural network model estimated with a genetic algorithm (NNGA). To test the relative forecasting accuracy of these algorithms, we examine the first‐time adoption of DVD players. Our analysis is based on longitudinal consumer data collected between March 2000 and March 2001. We find that the PNN algorithm significantly outperforms the logit model and the two remaining neural network algorithms.