Incorporating Network Externalities into the Technology Acceptance Model*

Research on network externalities has identified a number of product categories in which the market performance of an innovation (e.g., unit sales and revenues) is an increasing function of that innovation's installed base and the availability of complementary products. Innovation scholars have attributed these findings to the positive impact of network externality variables on consumer perceptions of innovation attributes. This paper provides the first empirical examination of these perceptual linkages by extending the Technology Acceptance Model to include consumer perceptions of network externality variables. The authors hypothesize that, when direct and indirect network externalities exist, consumer purchase intentions and consumer perceptions of an innovation's usefulness and ease of use will positively reflect perceptions of installed base size and the availability of complementary products. To test this reasoning, the authors developed new measures of consumer perceptions of network externality variables. These measures were incorporated into a survey that explored the attitudes in Japan of potential adopters toward digital music (DM) players at an early stage in the product life cycle. Findings reveal a direct positive relationship between ease of use and the perceived availability of digital music. The authors also find positive and significant relationships between both purchase intention and perceived usefulness and (1) the perceived size of the DM player installed base and (2) the perceived availability of digital music. An application of the Baron‐Kenny test for mediating variables reveals that (1) ease of use partially mediates the relationship between the perceived availability of digital music and perceived usefulness and (2) perceived usefulness partially mediates the relationship between the perceived availability of digital music and purchase intention. The research has important implications for future research on new product adoption and for the management of innovations that involve network externalities. The conceptual model provides a framework for testing alternative explanations of observed variations in the impact of network externalities within and across product categories. The empirical analysis provides guidance for managers who wish to manage the impact of network externalities on adoption. In addition to stimulating the size of the installed base and the variety of complementary products, executives must also manage consumer awareness of network externality variables and consumer understanding of the relationship between those variables and innovation attributes. Finally, traditional adoption models link consumer adoption decisions to perceptions of innovation attributes. The findings provided here imply that predictive accuracy of these models can be improved by including consumer perceptions of network externality variables.     

Commercializing new technologies: consumers' response to a new interface

Successful commercialization of new technologies is the riskiest and most rewarding form of new product development activity. New technologies are often commercialized using innovative interfaces that determine how consumers interact with a new product to obtain its functionality. Consumers' perception of uncertainty about the performance of a novel interface is a key issue in the acceptance of new products involving new interfaces. Specifically, when firms commercialize a new interface, they face two major challenges: First to identify the optimal functionality for the new interface, and second, to effectively communicate with consumers in order to reduce uncertainty about the performance of the new interface and increase adoption intentions. Despite the theoretical and managerial importance of research on consumers' response to a novel interface, very little empirical research has been conducted in this area. Building on prior research on new product development, human‐computer interaction, and consumer decision‐making, this article examines the factors that influence consumers' judgments of uncertainty about the performance of a new interface and consumers' adoption intentions. Specifically, we conducted an experiment to investigate the effect of the newness of the functionality of a new product and the effect of imagery on consumers' uncertainty about the performance of a novel interface and consumers' adoption intentions. Our results show that consumers perceive lower uncertainty about the performance of a new interface and higher intentions to adopt a new product when the new interface is introduced with a new (vs. pre‐existing) functionality. Furthermore, our results suggest that when a new interface is introduced with a new functionality, imagining the product in use increases consumers' uncertainty about the performance of the new interface and decreases their intention to adopt the new product. In contrast, when a new interface is introduced with a pre‐existing functionality, imagining the product in use decreases consumers' uncertainty about the performance of the new interface and increases their intention to adopt the new product. Our findings provide valuable guidelines for marketers in formulating new product development and communication strategies for new products involving a new interface. © 2002 Elsevier Science Inc. All rights reserved.     

Critical factors affecting the adoption of container security service: The shippers’ perspective

After September 11, 2001, a so-called container security service (CSS) composed of auto-detection and radio frequency identification (RFID) technologies has been introduced and commercialized. The objective of this study is to identify the factors affecting intention to adopt the CSS. A novel research model was developed based on the technology acceptance model. Eight hypotheses derived from this model were empirically validated using a questionnaire survey of current users of container transportation and structural equation modeling (SEM). The results suggest that security (SE) strongly effects on the perceived ease of use, attitude and behavioral intention (BI) to adopt the CSS. This implies that system operators should further enhance data security to increase the intention to adopt the CSS.     

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.     

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.     

Adoption of Technologically Based Innovations: The Neglected Role of Bounded Rationality

The purpose of this research is to examine the possibility of distinguishing between adopters and nonadopters when conceptualizing the drivers of the decision to adopt technologically based innovations. A second research objective is to examine factorial validity through the assessment of the explanatory power of the investigated conceptualization. In the pursuit of these objectives, the theory of bounded rationality represents the underlying theoretical framework, and Internet banking (IB) represents the nomological framework, in which two alternative conceptualizations, one for IB adopters and a second for nonadopters, are considered. “Intention to adopt” and “adoption” are the criterion variables, respectively. To meet the objectives of the study, two different populations are examined: adopters of IB and nonadopters. The former was used to examine the hypothesized framework for predictive validity against actual adoption; the latter was used to examine the predictive validity regarding intention to adopt. To collect data from IB adopters, the four leading banks, which account for approximately 73% of adopters, agreed to place a link to a Web‐based questionnaire at the log‐in page of their IB system inviting customers to participate in the study. Through this process, 858 useable questionnaires were produced. To reach the nonadopters population, a convenience sample of executive M.B.A. students from two leading Greek universities was employed. Respondents from this sample were screened to ensure that they had never used IB. This process yielded 418 useable questionnaires from the nonadopters population. A major finding from this investigation is that the decision to adopt improves the understanding of adopters regarding the benefits delivered by an innovation. Consequently, they hold a precise, less ambiguous perception of how specific innovation attributes translate into benefits. Hence, when recalling the decision process through which they adopted an innovation, adopters relate specific innovation attributes, including specific benefits received. This situation is displayed in the ability of a direct, first‐order model to capture the relationships between specific innovation attributes and the adoption decision. In contrast, nonadopters, having no direct experience with the innovation, lack this familiarity. They require a significantly greater amount of information in order to associate innovation attributes with potential benefits. The intangibility of technologically based service innovation further increases a nonadopter's need for information. However, this increased need for information renders nonadopters subject to cognitive strain, which causes them to aggregate innovation attributes into more abstract constructs. That aggregation was displayed in the ability of a second‐order model to capture the relationships between specific innovation attributes and the nonadopters' intention to adopt the innovation in the future. In both occasions though, the instrumental drivers of adoption represent the most powerful explicators of the adoption decision. From a practitioner's perspective, this study shows that managers can structure the content of their communication to facilitate the rise of societal drivers, but they should avoid relying on such elements to quicken the pace of the adoption rate. Rather, at the core of communication campaigns, practitioners should place brief and clear claims demonstrating the instrumental arguments in favor of the adoption decision.     

Information in Launch Messages: Stimulating the Adoption of New High‐Tech Consumer Products

This research investigates how the adoption of new high‐tech consumer products can be stimulated by communicating product‐related information in launch messages. In an initial pilot study, the authors find that for making an adoption decision, consumers require different types of product‐related information, i.e., technical information, financial information, and personal/social information. In three experiments, the authors then examine how adoption intention and behavior is affected by communicating these information types. The first experiment shows that communicating personal/social information results in the highest adoption intention. This effect is moderated by the way in which the information is represented in the message. Adoption intention is highest when personal/social information is communicated in an abstract manner, while financial and technical information are most effective when communicated in a concrete manner. The second experiment shows that the effects hold for actual adoption behavior. In addition, visual imagination is found to mediate these effects. In the last experiment, visual imagination is directly manipulated by thematic priming and has a direct effect on adoption behavior. The results emphasize that activating the imagination in a product‐relevant situation stimulates adoption behavior.     

Seeking Simplicity in Complexity: The Relative Value of Ease of Use (EOU)‐Based Product Differentiation

Models of category acceptance and diffusion, including Davis's technological acceptance model (TAM), have established that ease of use (EOU) is a significant determinant of technological product adoption. This supports user‐centered design philosophies, where aspects of cognitive attractiveness (e.g., logical to use) and emotional attractiveness (e.g., lack of frustration in use) are essential, and contrasts traditional design practices where physical attractiveness dominates concern. These studies consider the impact of EOU on category (primary) demand. It is unclear whether firms should incorporate EOU into design and positioning strategies to differentiate their products from others in the same category that perform better on functional features. A random utility theory‐based choice model is used to measure the relative value of EOU. In a new product category (DVD recorders; n = 496) and one that is more established (cell phones; n = 202), consumers were found to forgo functional features in preference for products better rated on EOU. With implications for segmentation, those seeking simplicity were older, female, educated, and with less product knowledge, while those already owning a complex phone made replacement decisions with less concern for EOU. The findings support EOU‐based differentiation strategies as a legitimate alternative to other forms of differentiation.     

Shouldn't Customers Control Customized Product Development?

Nowadays, customized product development (CPD) is increasingly prevalent in business‐to‐business settings, which has motivated manufacturers into development approaches wherein the customer plays an active role. When the customer is merely viewed as a passive receiver of the customized product, the manufacturer won't be able to truly empathize with the customer and might lack important suggestions to create and improve the customized product. It is, after all, the customer that holds pertinent development information and/or expertise. Yet, customers are not always motivated to participate and often need to be convinced about the manufacturer's ability to develop customized products in a timely and cost‐effective manner. Prior literature on interorganizational relationships suggests the use of formal control, i.e., process and/or output control, to fashion activities in line with expectations so that development goals can be attained. Thereupon, this study posits that the customer's use of such formal controls may stimulate customer participation in CPD. In addition, this study investigates whether manufacturers can indeed benefit from customer participation in CPD through improved new product performance. To accomplish the research objectives, survey‐based and accounting data are collected on 63 collaborative CPD projects between a plastics manufacturer and its industrial customers. In conjunction with an add‐on experimental study regarding the effect of formal control on customer participation, this study reveals that the customer's use of formal control significantly increases the level of customer participation in CPD. Additionally, this study confirms that customer participation positively impacts new product performance. Together, these results imply that letting the customer use process and/or output control helps the customer to believe more in the pursuit of CPD goals and successful product customization, thereby encouraging the customer to participate more actively in CPD. Besides, the findings imply that increased access to market and customer need‐related information obtained through customer participation is indeed critical for successful CPD.     

Enhancing New Product Adoption at the Base of the Pyramid: A Contextualized Model

Companies are recognizing and pursuing the opportunity to serve the market known as the base of the pyramid (BOP), i.e., consumers who live in poverty in developing countries. The BOP constitutes the largest remaining global market frontier for businesses. Until recently, it has been ignored because of its seeming unattractiveness and insurmountable challenges compared with middle‐ and high‐income markets. However, BOP consumers desire and are able to pay for quality products tailored to their needs. In response, firms are developing new products specific to the demands and conditions of this low‐income population. To innovate effectively, ensuring new products are well received, firms need to know how to enhance new product adoption among these consumers despite the barriers of poverty. We address this need by developing a model of adoption contextualized to the BOP. Based on theories of innovation and poverty, and drawing on the emergent subsistence market literature, we propose that certain new product characteristics, social context dynamics, and marketing environment approaches moderate or counter some of the limits of poverty, making adoption possible. We then discuss the managerial and theoretical implications of our model for innovation practitioners and researchers.     

Toward a Parsimonious Definition of Traditional and Electronic Mass Customization

Although mass customization, a term introduced by Davis (1987) to describe the oxymoron of mass producing customized products, has been part of research for more than a decade, literature has not come up with a commonly accepted definition of this term up to now. The present article attempts to close this gap by proposing a definition of traditional and electronic mass customization, which is based on answering three research questions. First, for which kind of customized goods (products versus services) is mass customization applicable at all? Second, at which step of the value creation process must the customer be given the chance to customize his or her good to be able to speak of mass customization? And finally, which prerequisites in terms of production cost and monetary price need to be fulfilled when comparing mass‐customized with mass‐produced goods? Using an extensive analysis of extant literature in the field, the authors develop two definitions of traditional mass customization, a working and a visionary one, as well as one for electronic mass customization, stating how new opportunities arising from advances in communication and information technology can influence this concept.     

Investigating Adoption of Free Beta Applications in a Platform‐Based Business Ecosystem

Planning new product development (NPD) activities is becoming increasingly difficult, as contemporary businesses compete at the level of business ecosystems in addition to the firm‐level product‐market competition. These business ecosystems are built around platforms interlinking suppliers, complementors, distributors, developers, etc. together. The competitiveness of these ecosystems relies on members utilizing the shared platform for their own performance improvement, especially in terms of developing new valuable offerings for end users. Therefore, managing the development of the platform‐based applications and gaining timely end‐user input for NPD are of vital importance both to the ecosystem as a whole and to the developers. Subsequently, to succeed in NPD planning developers utilizing beta testing need a thorough understanding of the adoption dynamics of beta products. Developers need to plan for example resource allocation; development costs; and timing of commercial, end‐product launches. Therefore, the anticipation of the adoption dynamics of beta products emerges as an important antecedent in planning NPD activities when beta testing is used for gaining end‐user input to the NPD process. Consequently, we investigate how free beta software products that are built upon software platforms diffuse among their end users in a cocreation community. We specifically study whether the adoption of these beta products follows Bass or Gompertz model dynamics used in the previous literature when modeling the adoption of stand‐alone products. Further, we also investigate the forecasting abilities of these two models. Our results show that the adoption dynamics of free beta products in a cocreation community follow Gompertz's model rather than the Bass model. Additionally, we find that the Gompertz model performs better than the Bass model in forecasting both short and long out‐of‐sample time periods. We further discuss the managerial and research implications of our study.     

The Moderating Roles of Prior Experience and Behavioral Importance in the Predictive Validity of New Product Concept Testing

Concept testing has long been recognized as an important new product development (NPD) activity. As one of the widely used concept testing techniques, the method of intentions surveys relies on the purchase intentions of the potential buyers of new products and helps firms assess the viabilities of their new products before making major financial and nonfinancial commitments to their development. Despite the importance of intentions‐based new product concept testing and its widespread use by firms, the correspondence between initial behavioral intentions and subsequent purchase behaviors has been relatively low and heterogeneous, making it very difficult for firms to draw any useful conclusions from intentions surveys. Focusing on the predictive validity of intentions‐based new product concept testing and addressing several calls for future research to identify specific conditions making it more effective, this paper tests the moderating roles of prior experience and behavioral importance in the predictive validity of intentions‐based new product concept testing. It also tests whether people who state a positive intention and people who state a negative intention are equally accurate in their intentions. Finally, it tests the relative moderating roles of prior experience and behavioral importance in the intentions–behavior relationship. The results based on two longitudinal surveys first suggested that people's prior experience moderates the relationship between behavioral intentions and actual behaviors in a way that the relationship is stronger when prior experience is high as opposed to when it is low. Second, they showed that the level of importance that people attach to a behavior also moderates the relationship between behavioral intentions and actual behaviors such that the relationship is stronger when behavioral importance is high as opposed to when it is low. Third, they indicated that the behavioral intentions of people who state that they will not perform a behavior are more accurate than are those of people who state that they will perform it. Finally, the results suggested that the impact of behavioral importance is greater than that of prior experience. This study offers several implications. Most notably, the results can help firms better understand different factors affecting the predictive validity of intentions‐based new product concept testing and hence make more accurate new product decisions.     

Seeking the Ideal Level of Design Newness: Consumer Response to Radical and Incremental Product Design

To develop successful new products, new product development managers need to have a thorough understanding of the consumer adoption process, specifically in how consumers evaluate new products. This research examines the value of product design for consumers' evaluation of radical and incremental innovations. The primary goal was to empirically test how design newness affects consumer response to product innovations. Design newness (also referred to as novelty or atypicality) is defined as the deviation in a product design from the current design state of a certain product category. Although prior research has suggested that higher levels of design newness may have a positive effect on consumers' evaluations of new products, higher levels of design newness may also have negative consequences for consumer response to radical innovations. An experimental context (n = 130) using systematically designed products for three product categories was used to test how consumers respond to high and low levels of design newness for both radical and incremental innovations. The findings show that for radical innovations, embodying the product in a design with a low (versus high) level of design newness led to more positive evaluations and less learning‐cost inferences. Because the functional attributes of a radical innovation are incongruent to existing products, consumers find it difficult to access the relevant product category schema in order to transfer knowledge to the new product. Because of this poor knowledge transfer, consumers may feel that they lack the ability to make effective use of the radical innovation, resulting in greater learning costs. In this case, a product design with a low level of design newness can provide consumers with a frame of reference for understanding the radical innovation. Contrasting this result, no difference was found between a low and a high level of design newness for incremental innovations. For incremental innovations, by definition the functional attributes characteristic to the innovation are highly comparable with those products that are already stored in consumers' memory. Thus, there is no need for an additional reconfirmation of the preexisting schema through product design, and consumers are able to access the relevant schema regardless of the level of design newness inherent in the product. These findings are integrated into a discussion of the managerial implications and the potential avenues for future research.     

A Study of the Attitude toward Convergent Products: A Focus on the Consumer Perception of Functionalities

The convergent product is an increasingly important phenomenon in the marketplace. The convergent product allows the developer to include more and more diverse functionalities into their products, which can satisfy a broad range of consumer needs. However, failures of convergent products arouse the need to understand its functionalities, and the optimal combination of functionalities and their relationships to attitude and purchase intention. In addition, because convergent product has the potential to offer more diverse functionality, we consider if this will have impacts on instrumental and emotional needs fulfillment and attitude and purchase intention. Additionally, consumer innovativeness was examined to ascertain if there were differences among consumers on their classification of the functionalities, or if it will moderate functional diversity, needs fulfillment, and product attitude. Using the Kano model, this study examined the nature of these relationships by examining the functionalities of a smartphone. Overall, our results show that the convergent products that include functionalities from two of the three categories of the Kano model, must‐have and attractive, were rated more positively. Consumer innovativeness differences were found. Consumers with high innovativeness considered must‐have and one‐dimensional functionalities the most important, and consumers with low innovativeness considered all three important, although one‐dimensional functionalities were considered significantly less important. Although increasing functional diversity positively raises product attitude and purchase intention, it tends to raise emotional needs fulfillment only once instrumental needs have been met, especially for respondents showing low innovativeness. The findings should arouse interest about factors that should not be overlooked when developing new convergent products.     

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.     

Inward Technology Licensing as an Alternative to Internal R&D in New Product Development: A Conceptual Framework

Many marketing practitioners and authors already accept that inward technology licensing (ITL) can be a viable alternative source of new products to internal R&D. Yet, new product development research focuses mainly on internal development with little attention to external methods. Kwaku Atuahene-Gima reviews the small body of literature on ITL and examines the factors that may influence a firm to adopt ITL as an alternative to internal R&D. Using a conceptual framework to provide additional insights, he argues that the ITL adoption decision is an organizational behavioral response to internal and external environmental stimuli.     

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.     

Why do incumbents sometimes succeed? Investigating the role of interorganizational trust on the adoption of disruptive technology

Previous research has noted that new firms traditionally have more success with the diffusion of disruptive technologies than do incumbent firms. For the development of disruptive technologies, newer firms appear to be advantageous as they are generally more flexible in resource allocation. However, exceptions can be found in various industries in which incumbents have been able to succeed with their own disruptive technologies. One possible explanation for these exceptions is the influence of pre-existing levels of trust already developed between incumbents and potential buyers of disruptive technologies. In order to explore this further, this article provides a link between interorganizational trust and the adoption of new, disruptive technologies in industrial markets. By surveying 134 current and potential Software-as-a-Service (SaaS) users, we show how pre-existing, interorganizational trust impacts the perceptions a potential buyer has towards a disruptive technology and how these perceptions influence a buyers' intention to adopt a new, disruptive technology. Beyond trust, we use perceived ease of use, perceived value, perceived usefulness and financial stability to create a predictive model for intention to adopt. Holistically, this article provides insight on how buyer–supplier relationships generally favor incumbent firms and can impact a buyers' perception of a new, disruptive technology.