The Effect of Information on Consensus and Accuracy in Personality Judgment

Blackman, Melinda C.; Funder, David C.

doi:10.1006/jesp.1997.1347

Cited by 142 publications

(141 citation statements)

References 29 publications

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“…In accordance with Amabile (1996) and Blackman and Funder (1998), all ratings from judges were averaged. The correlations (Cronbach's alpha) for the judges were r=.77 for…”

Section: Resultsmentioning

confidence: 99%

Idea generation: customer co‐creation versus traditional market research techniques

Witell

Kristensson

Gustafsson

et al. 2011

Journal of Service Management

265

292

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PurposeThe purpose of this paper is to understand the differences between proactive and reactive market research techniques during the development of new market offerings. The study focused on the financial and innovative performance of traditional market research techniques, such as focus groups and in‐depth interviews, in comparison to more co‐creation‐oriented techniques that are designed to capture customers' value‐in‐use.Design/methodology/approachThe study was a two‐stage process. Study I, an empirical investigation of 195 development projects in European companies, examined how these companies use different market research techniques and how this relates to the profit margins of new products and services. Study II designed an experiment with 50 users of a consumer good and evaluated the contribution of different market research techniques, based on the degree of originality and customer value.FindingsSignificant differences were found, in terms of both content and originality, between the technique based on customer co‐creation and the two traditional market research techniques (Study II). These findings can help to explain why the relationship between the use of market research techniques and profit margin (Study I) is stronger for co‐creation techniques than it is for traditional market research techniques.Originality/valueDespite empirical evidence that the application of market research techniques based on co‐creation can lead to original ideas, there is a lack of valid studies regarding how co‐creation techniques perform in relation to more traditional methods of collaboration with customers.

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“…In accordance with Amabile (1996) and Blackman and Funder (1998), all ratings from judges were averaged. The correlations (Cronbach's alpha) for the judges were r=.77 for…”

Section: Resultsmentioning

confidence: 99%

Idea generation: customer co‐creation versus traditional market research techniques

Witell

Kristensson

Gustafsson

et al. 2011

Journal of Service Management

265

292

View full text Add to dashboard Cite

show abstract

“…For further analysis, validation of overall attractiveness judgment ratings were averaged (Amabile, 1996;Blackman and Funder, 1998). All measures are positively and highly intercorrelated and are also correlated with innovators' self-assessment of their ideas (see Table 5).…”

Section: Operationalization Of Dependent Variablesmentioning

confidence: 99%

Finding Commercially Attractive User Innovations: A Test of Lead‐User Theory^*

Franke

Hippel

Schreier

2006

J of Product Innov Manag

629

318

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Firms and governments are increasingly interested in learning to exploit the value of lead-user innovations for commercial advantage. Improvements to lead-user theory are needed to inform and to guide these efforts. The present study empirically tests and confirms the basic tenets of lead-user theory. It also uncovers some new refinements and related practical applications. Using a sample of users and userinnovators drawn from the extreme sport of kite surfing, an analysis was made of the relationship between the commercial attractiveness of innovations developed by users and the intensity of the lead-user characteristics those users display. A first empirical analysis is provided of the independent effects of its two key component variables. In the empirical study of user modifications to kite-surfing equipment, it was found that both components independently contribute to identifying commercially attractive user innovations. Component 1, the high expected-benefits dimension, predicts innovation likelihood, and component 2, the ahead of the trend dimension, predicts both the commercial attractiveness of a given set of userdeveloped innovations and innovation likelihood due to a newly proposed innovation supply side effect. It was concluded that the component variables in the lead-user definition are indeed independent dimensions, so neither can be dropped without loss of information-an important matter for lead-user theory. It also was found that adding measures of users' local resources can improve the ability of the lead-user construct to identify commercially attractive innovations under some conditions. The findings reported here have practical as well as theoretical import. Product modification and development has been found to be a relatively common user behavior in many fields. Thus, from 10 to nearly 40 percent of users report having modified or developed a product for in-house use in the case of industrial products or for personal use in the case of consumer products in fields sampled to date. As a practical matter, therefore, it is important to find ways to selectively identify the user innovations that manufacturers will find to be the basis for commercially attractive products in the collectivity of user-developed innovations. The implications of these findings for theory as well as for practical applications of the lead-user construct are discussed-that is, how variables used in lead-user studies can profitably be adapted to fit specific study contexts and purposes.

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“…similar studies like the one conducted by Kristensson et al (2004). For further analysis, validation of overall attractiveness judgement ratings were averaged (Amabile, 1996, Blackman andFunder, 1998). All measures are positively and highly inter-correlated and are also correlated with innovators' self-assessment of their ideas (see table 5).…”

Section: Operationalization Of Independent Variablesmentioning

confidence: 99%

Finding Commercially Attractive User Innovations: A Test of Lead User Theory

2005

View full text Add to dashboard Cite

Firms and governments are increasingly interested in learning to exploit the value of lead user innovations for commercial advantage. Improvements to lead user theory are needed to inform and guide these efforts. In this paper we empirically test and confirm the basic tenants of lead user theory. We also discover some new refinements and related practical applications.Using a sample of users and user-innovators drawn from the extreme sport of kite surfing, we analyze the relationship between the commercial attractiveness of innovations developed by users and the intensity of the lead user characteristics those users display. We provide a first empirical analysis of the independent effects of its two key component variables. In our empirical study of user modifications to kite surfing equipment, we find that both components independently contribute to identifying commercially attractive user innovations. Component 1 (the "high expected benefits" dimension) predicts innovation likelihood, and component 2 (the "ahead of the trend" dimension) predicts both the commercial attractiveness of a given set of user-developed innovations and innovation likelihood due to a newly-proposed innovation supply side effect. We conclude that the component variables in the lead user definition are indeed independent dimensions and so neither can be dropped without loss of information -an important matter for lead user theory. We also find that adding measures of users' local resources can improve the ability of the lead user construct to identify commercially-attractive innovations under some conditions. The findings we report have practical as well as theoretical import. Product modification and development has been found to be a relatively common user behavior in many fields. Thus, from 10% to nearly 40% of users report having modified or developed a product for in-house use in the case of industrial products, or for personal use in the case of consumer products, in fields sampled to date. As a practical matter, therefore, it is important to find ways to selectively identify the user innovations that manufacturers will find to be the basis for commercially attractive products in the collectivity of user-developed innovations. We discuss the implications of these findings for theory and also for practical applications of the lead user construct, i.e. how variables used in lead user studies can profitably be adapted to fit specific study contexts and purposes. 3 Introduction and overview

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The Effect of Information on Consensus and Accuracy in Personality Judgment

Cited by 142 publications

References 29 publications

Idea generation: customer co‐creation versus traditional market research techniques

Idea generation: customer co‐creation versus traditional market research techniques

Finding Commercially Attractive User Innovations: A Test of Lead‐User Theory^*

Finding Commercially Attractive User Innovations: A Test of Lead User Theory

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The Effect of Information on Consensus and Accuracy in Personality Judgment

Cited by 142 publications

References 29 publications

Idea generation: customer co‐creation versus traditional market research techniques

Idea generation: customer co‐creation versus traditional market research techniques

Finding Commercially Attractive User Innovations: A Test of Lead‐User Theory*

Finding Commercially Attractive User Innovations: A Test of Lead User Theory

Contact Info

Product

Resources

About

Finding Commercially Attractive User Innovations: A Test of Lead‐User Theory^*