Search results

This study aims to examine the effect of opinion leadership on individuals’ susceptibility to social influence, which eventually affects their adoption behavior and assess how these relationships vary with gender in new product adoption.

Data were collected based on a survey of young consumers regarding the adoption of new consumer electronics. The hypotheses were tested using structural equation modeling and multiple sample analyses.

The study finds that opinion leaders are more sensitive to influence from others when the mechanism of status competition is at work. Although consumers who are more susceptible to normative influence tend to adopt new products later than others, those who are more susceptible to status competition are more likely to adopt earlier. The results also provide evidence for gender differences. Female leaders are more susceptible to status competition, whereas male leaders are less sensitive to informational influence. The effects of susceptibility to normative influence and status competition on adoption behavior are stronger for female than for male consumers.

The overall structural model predicts an interesting relationship between individual influence and susceptibility, as well as the effects of these factors on adoption behavior. This study also provides deeper insights into the dynamics of the social influence mechanisms at work for each gender in new product adoption.

The purpose of this paper is to investigate the competing effects of brand community participation, which should enhance loyalty to both the brand and to already-owned products, against switching costs, which should make consumers sensitive about the financial costs associated with new products.

Using the participation and weekly adoption data from 7,411 members in two brand communities and one product category forum over a six-month period, switching costs were computed for each member using 10 years of product release and pricing data.

Consistent with prior research, switching costs had a significant effect on reducing product adoption. Brand community participation also had a significant effect on overcoming switching costs. However, these main effects were qualified by an interaction, such that the most active participants were more likely to buy the new product when switching costs were higher.

Most importantly, these findings provide unique insights into financial switching costs and demonstrate ways in which brand community participation provides a way to mitigate switching costs for consumers who would most be affected by them.

For international product managers, one critical question is how fast a new product is likely to be adopted and diffused in different nations. One possible way to answer this question is by collecting data on the diffusion in a large number of countries and analyzing them. However, one of the main problems associated with collecting data are the lack of sufficient early‐period sales data to ensure reliable estimations. The estimation process becomes even harder since word‐of‐mouth and imitation play significant roles in the adoption of a new product given that the spread of information in a social system is complex. The purpose of this paper is to assess the relationship among social interactions, cultural differences, and the adoption of new products, and propose a new technique to work with the complexity arising from social interactions, as well as the few data points.

A conceptual framework is presented and propositions are constructed.

The study suggests that, while social interactions are an important element for adoption of new products in every country, the strength of their impact on adoption varies across countries based on culture.

This study contributes by offering a deeper understanding of the impact of social interactions on international innovation adoption and provides a new foundation for the literature by combining individual heterogeneity, cultural differences, and word‐of‐mouth communication in one study.

Understanding the effect of cultural variations on the adoption of new products in a specific country will help management in the forecasting of demand by decreasing the perceived uncertainty of foreign cultural environments.

Even though diffusion models often describe innovation diffusion patterns over time fairly well, it is unclear how social interaction processes in different countries influence the adoption and diffusion speed of new products. There seems to be a large gap in the international marketing literature since it has long been accepted that personal interactions play a key role in product adoption and dissemination and that individuals communicate differently in the different parts of the world. An understanding of social interactions role on adoption of innovation will contribute to the international marketing field.

I. INTRODUCTION This study attempts to extend and expand previous research conducted by the Department of Marketing at Strathclyde on the adoption and diffusion of industrial products.

Despite the importance of the diffusion of new products, there is not yet a single scale to measure consumer innovativeness and new product adoption behavior efficiently and effectively across countries. The purpose of this study is to examine the relationship between consumer innate innovativeness, vicarious innovativeness, domain specific innovativeness, the desire for unique consumer products, and the adoption of consumer electronic products across three countries in the Asia-Pacific region: Australia, China, and Taiwan.

Data were collected through a survey in Melbourne, Australia, Shanghai, China and Taipei, Taiwan. The conceptual model was tested using structural equation modeling.

This study finds that domain specific innovativeness primarily influences the adoption of such products across the three countries. The study further suggests that vicarious innovativeness affects Australians ' new product adoption behavior. In contrast, the desire for unique consumer products is a predictor of new product adoption for customers with a Chinese cultural background. Surprisingly, the authors find that consumer innate innovativeness has a negative effect on vicarious innovativeness.

This study provides further insights into relationships between consumer innovativeness measures.

This study enhances marketers ' capabilities to develop various launching strategies in different countries and providing further insights into relationships between consumer innovativeness measures.

This study highlights the importance of relationships among various types of consumer innovativeness in order to expand our understanding of relationships and approaches to measure innovativeness and adoption.

Models of the new product adoption process have traditionally assumed that consumers move directly from product trial to adoption. Such an assumption essentially equates product purchase with adoption. Is it advisable for the manager to assume that consumers who purchase a new product for the first time are adopters of the innovation? This article argues that viewing the adoption process in this manner not only may be misleading, but could be incorrect. It is proposed that the addition of two variables — direct product experience and product evaluation—between trial and adoption will more accurately reflect the consumer's new product decision process. Empirical results from an energy‐related innovation provide support for the suggested modifications.

Seeks to advocate adopting the comparative case study method and system dynamics modeling to inform theory and to prescribe executive actions for successfully managing new products built using radically new technologies.

Reviews NPD theory and research on the dynamic processes including feedback loops and the hidden demons (hard to identify weak linkages that have large downstream impacts) in radically new innovation, manufacturing, diffusion and adoption/rejection processes; examines the IMDAR process model (innovation‐manufacturing‐diffusion‐adoption/rejection) of new products.

Several alternative routes of tacit and explicit interorganizational behaviors and decisions lead to NPD successes and failures; while executives believe surveys identifying specific factors are important particularly for NPD success, none of these factors is necessary or sufficient by itself for explaining success – specific cases of NPD success occur in the absence of any one of the identified success factors – embracing a system dynamics rather than a main effects view of NPD success and failure provides solid grounding for useful theory and practice in NPD.

Does not provide an empirical comparison between cross‐sectional data‐based modelling versus system dynamics analysis. Business and industrial marketing research that embraces complexity and examines decision and actions over multiple time periods is still in its infancy.

Most successful companies suffer from their success: they fail to remain watchful, mindful, and active with regard to new technological developments that seemingly have minor relationships to their industries.

This paper offers a theory‐of‐the‐firm system dynamics approach to inform new product executives to think beyond check‐lists and embrace multiple‐path thinking.

Considering the strikingly high number of new products and services that are withdrawn from the market very soon after launch, the aim of this paper is to study how early market survival is affected by decisions regarding a particular launch tactic, i.e. the configuration of the adoption network through which the innovation is commercialized. The paper also investigates how the impact on early market survival of this launch tactics depends on the maturity of the technology underlying the new service.

The conceptual model relating the variables “size of the adoption network”, “brand awareness of the organizations comprised in the adoption network”, “maturity of the underlying technology” and “early market survival” is tested in the empirical setting of the Italian mobile value added services (VAS) market, utilizing a longitudinal dataset which includes more than 28,000 new VAS launched between 2003 and 2007.

The paper shows that increasing the number of external organizations involved in the adoption network is a particularly effective tactical decision for new services based on very novel technologies, whereas building an adoption network that involves organizations with high brand awareness in the eyes of prospective customers positively impacts the early market survival of services relying on mature technologies.

Besides providing practical insight to product and marketing managers seeking to maximize the chances of early survival of the services they are responsible for, the paper has interesting implications for launch decisions and diffusion of innovation research.

To investigate consumer innovativeness (CI) from a hierarchical perspective and examine the simultaneous impacts of hierarchical perspective of CI and perceived risk on new product adoption.

An extended innovativeness and perceived risk model was developed. A structural equation model was used to test the hypotheses using empirical data from 746 respondents in a high technology product context.

The results provide support for the hierarchical perspective of CI; domain specific CI mediates the relationship between global CI and new product adoption. Specifically, cognitive and domain‐specific innovativeness enhances the actual adoption of new products; whereas sensory innovativeness and perceived social and physical risks enhance consumers' propensity to acquire novel information about new products. Financial risk, on the other hand, has a negative impact on the propensity to acquire novel information about new products. Time, performance, psychological, and network externalities risks show no significant relations with the tendency to acquire novel information about new products.

The findings provide an explanation to the less than consistent relationship between consumer innovativeness and new product adoption. However, a single research context of high tech consumer goods may be a limitation and future studies need to replicate this hierarchical perspective of CI as a predictor of new product adoption in different research contexts for greater generalizability.

The findings of the study provide some guidelines to marketers on how to increase the new product commercialization success. Marketers should tap into the cognitive and domain‐specific innovativeness to enhance the new product adoption. The sensory part of CI and perceived social and physical risks have implications for the promotion and communication aspects of new product marketing.

Provides new insights about consumer innovativeness trait as a useful predictor of new product adoption.

Companies are increasingly leveraging digital technologies toward innovation strategies that deliver novel features to customers sequentially through successive new product generations (i.e., successive innovation). Extant literature examining successive innovation is both limited and fragmented across marketing and management literatures. Our goal is to synthesize literature on concepts related to successive innovation (such as versioning and upgrades) to identify the core dimensions of successive innovation and provide a cohesive framework to guide future research in this domain.

Given the equivocality in understanding the conceptual domain of successive innovation, we review and synthesize literature across three disciplinary domains: marketing, management, and information and decision sciences. Based on the emerging patterns from the literature review, we develop a conceptual framework of successive innovation with the aim of moving the discussion toward greater theoretical clarity.

Based on the literature review and synthesis, we identify three core-dimensions that define successive innovation and compare these across digital and physical product realms: coexistence, embeddedness, and adoption controllability.

Our proposed conceptual dimensions of successive innovation, and discussion of differences across physical and digital product domains, offer important directions for future research and a common vocabulary.

As physical and digital successive innovations can differ in coexistence, embeddedness, and adoption controllability, firms need to consider relevant barriers to adoption of successive product generations and select appropriate strategies to promote and communicate successive innovation. Our proposed successive innovation conceptual dimensions help managers comprehend the complexity of arranging such innovation in business and consumer segments.

Our contribution to the emerging literature on successive innovation is threefold. First, by conducting a comprehensive literature review, we integrate insights from different fields of inquiry (i.e., marketing, management, and information and decision sciences). Second, based on the synthesis of the literature, we offer a conceptual framework of successive innovation, which aims to move the discussion toward greater theoretical clarity. Third, based on our review and conceptual framework, we discuss a set of future research directions to guide academic research efforts.