A Study of Innovativeness Overlap

Ostlund, Lyman E.

doi:10.1177/002224377200900319

Cited by 14 publications

(6 citation statements)

References 8 publications

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“…of innovative purchasing behavior is higher across similar products (Ostlund, 1972;Summers, 1971). Consequently, in order to predict innovative buying behavior, innovativeness should be measured within a certain domain of interest (Gatignon and Robertson, 1985).…”

Section: Methods Criterion Variable Predictors/correlates Trait Domainmentioning

confidence: 99%

A cognitive model to predict domain-specific consumer innovativeness

Hoffmann

Soyez

2010

Journal of Business Research

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Section: Methods Criterion Variable Predictors/correlates Trait Domainmentioning

confidence: 99%

A cognitive model to predict domain-specific consumer innovativeness

Hoffmann

Soyez

2010

Journal of Business Research

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“…The general assumptions of global innovativeness are anchored in personality inventory that determines behavior, specifically the adoption of new products (Leavitt and Walton, 1975;Ostlund, 1972). Because global innovativeness is a personality trait at the highest level of abstraction, it is independent of the context or domain in which consumers are located (Midgley and Dowling, 1978).…”

Section: Global Innovativenessmentioning

confidence: 99%

Consumer innovativeness and perceived risk: implications for high technology product adoption

Hirunyawipada

Paswan

2006

Journal of Consumer Marketing

313

226

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Purpose -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. Design/methodology/approach -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. Findings -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.Research limitations/implications -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. Practical implications -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. Originality/value -Provides new insights about consumer innovativeness trait as a useful predictor of new product adoption.

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“…(1986) Global innovativeness has high validity in the prediction of adoption behavior Food product Goldsmith (2002) Domain-specific innovativeness mediates the relationship between global innovativeness and online buying Online shopping Goldsmith and Flynn (1992) Domain-specific innovativeness identifies consumers with higher number of shopping trip and greater spending from those who have less Fashion Goldsmith et al (1995) Domain-specific innovativeness is more highly correlated with number of new products adopted than global innovativeness Clothing and electronics products Goldsmith et al (1998) Domain-specific innovativeness positively correlated with consumers" knowledge about product and product involvement Wine Goldsmith et al (2003) Domain-specific innovativeness is a stronger predictor of behavioral criteria (time and money spent at shopping) than the market maven scale Inherent consumer novelty seeking correlates to actualized novelty seeking and awareness (initial stages in adoption process), whereas consumer independent judgment making is related to the trials of new products (later stage in adoption process) Food product, electronics product, etc. Midgley and Dowling (1993) Interest in particular product category and social communication networks mediate the relationship between global innovativeness and adoption Clothing Mowen et al (1998) Global innovativeness mediates the relationship between personal traits and domain-specific innovativeness Electronic and food products Ostlund (1972) Global innovativeness extends across test product categories Number 4, 2006 , 182-198 (183) Consumer innovativeness falls into subgroups as follow (Hirunyawipada&Paswan, 2006):  Global innovativeness: The general assumptions of global innovativeness are anchored in personality inventory that determines behaviour, especially the adoption of new products. Actullay, global innovativeness is a personel trait at the highest level of separation.…”

Section: Product and Consumer Innovativenessmentioning

confidence: 99%

“…These dimensions of innovativeness trait underline the disparate lists of activities. (Leavitt and Walton, 1975;Ostlund, 1972;Midgley &Dowling, 1978;Pearson, 1970;Wood &Swait, 2002;Baumgartner & Steenkamp, 1996;Hirunyawipada&Paswan, 2006)  Domain-specific innovativeness: Domain-Specific innovativeness aims to explicate the narrow facets of human behavior within a person"s specific interest domain. It contains the individual"s predisposition toward the product class and it refers to the inclination to acquire new products or related information.…”

Section: Product and Consumer Innovativenessmentioning

confidence: 99%

Consumer Innovativeness and Information Seeking Behavior as Opposed to Risk Perceptions on Purchases of Hi-Tec

Ersoy¹,

Çalık²

2016

Proceedings of the 5th Economic &Amp; Finance Conference, Miami

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This study intends to find out the consumer innovativeness and information seeking behavior which are assumed to be negatively correlated with consumer risk perceptions. A survey on 880 respondents who are selected via stratified sampling of which 863 are found eligible to be analyzed. The respondents are required to answer 50 questions of which five are related to demographic characteristics of these respondents. The rest 45 are statements which are designed to reflect the innovativeness and risk perception of the consumers which are two controversial issues... The study consists of five parts. The first part is an introduction where the scope and the purpose of the study are concisely stated. The second part relates to the theoretical background of the subject matter and the prior researches carried out so far. The third part deals with research methodology, basic premises and hypotheses attached to these premises. Research model and analyses take place in this section. Theoretical framework is built and a variable name is assigned to each of the question asked or proposition forwarded to the respondents of this survey. 45 statements or propositions given to the respondents are placed on a five-point Likert scale. The remaining five questions about demographic traits as age, gender, occupation, educational level and monthly income are placed either on a nominal or ratio scale with respect to the nature of the trait. Five research hypotheses are formulated in this section. The fourth part mainly deals with the results of the hypothesis tests and a factor analysis is applied to the data on hand. Here exploratory factor analysis reduces 45 variables to eight basic components as "Online shopping risks, technology readiness, risk avoidance, physical risk perception, consumer innovativeness, functional risk perception, information seeking behavior, and social risk perception. Cronbach's Alpha for scale reliability is ( = 0.731) and the sample adequacy ratio (KMO) is 0.835. In addition non-parametric bivariate analysis in terms of Chi-Square is applied to test the hypotheses formulated in this respect. The fifth part is the conclusion where findings of this survey are listed.

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A Study of Innovativeness Overlap

Cited by 14 publications

References 8 publications

A cognitive model to predict domain-specific consumer innovativeness

A cognitive model to predict domain-specific consumer innovativeness

Consumer innovativeness and perceived risk: implications for high technology product adoption

Consumer Innovativeness and Information Seeking Behavior as Opposed to Risk Perceptions on Purchases of Hi-Tec

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