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G. Foxall, R. Goldsmith, Stephen Brown (1994)
Consumer Psychology for Marketing
D. Langley, N. Pals, J. Ortt (2005)
Adoption of Behaviour: Predicting Success for Major InnovationsEuropean Journal of Innovation Management, 8
C. Bulte, S. Stremersch (2004)
Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic TestMarketing Science, 23
Robert Veryzer (1998)
Key factors affecting customer evaluation of discontinuous new productsJournal of Product Innovation Management, 15
J. Schumpeter (1943)
Capitalism, Socialism and Democracy
Általános tudományok (2010)
Diffusion of Innovations
J. Armstrong (2009)
Selecting Forecasting Methods
H. Arkes (2001)
Overconfidence in Judgmental Forecasting
W. Norman (1963)
Toward an adequate taxonomy of personality attributes: replicated factors structure in peer nomination personality ratings.Journal of abnormal and social psychology, 66
J. Armstrong, George Duncan, W. Gorr (2001)
Principles of forecasting : a handbook for researchers and practitioners
N. Franke, E. Hippel, M. Schreier (2005)
Finding Commercially Attractive User Innovations: A Test of Lead User TheoryERN: Innovation (Topic)
A. Bandura (1977)
Social learning theoryCanadian Journal of Sociology-cahiers Canadiens De Sociologie, 2
M. Wedel, W. Kamakura (1997)
Market Segmentation: Conceptual and Methodological Foundations
M. Kamien, N. Schwartz (1975)
Market Structure and Innovation: A SurveyJournal of Economic Literature, 13
R. Cooper (2007)
New Products—What Separates the Winners from the Losers and What Drives Success
N. Meade, T. Islam (2006)
Modelling and forecasting the diffusion of innovation – A 25-year reviewInternational Journal of Forecasting, 22
F. Heylighen (1998)
What makes a meme successful? Selection criteria for cultural evolution
E. Mansfield (1968)
Industrial Research and Technological Innovation: An Econometric Analysis
John Johnson, F. Ostendorf (1993)
Clarification of the Five-Factor Model With the Abridged Big Five Dimensional CircumplexJournal of Personality and Social Psychology, 65
E. Tauber (1974)
How market research discourages major innovationBusiness Horizons, 17
R. Calantone, Kwong Chan, A. Cui (2006)
Decomposing Product Innovativeness and Its Effects on New Product SuccessJournal of Product Innovation Management, 23
A. Dijksterhuis, M. Bos, L. Nordgren, Rick Baaren (2006)
On Making the Right Choice: The Deliberation-Without-Attention EffectScience, 311
G. Tarde (2009)
Les Lois de L'Imitation: Étude Sociologique
(1976)
The Selfish Gene
W. Hofstee, B. Raad, L. Goldberg (1992)
Integration of the big five and circumplex approaches to trait structure.Journal of personality and social psychology, 63 1
A. Taschner (1999)
FORECASTING NEW TELECOMMUNICATION SERVICES AT A "PRE-DEVELOPMENT" PRODUCT STAGE
P.G. Allen, R. Fildes
Econometric forecasting
S. Blackmore (1999)
The Meme Machine
S. Bikhchandani, D. Hirshleifer, I. Welch (1998)
Learning from the behavior of others : conformity, fads, and informational cascadesJournal of Economic Perspectives, 12
J. Duckitt (1991)
Book Review: Social identifications: A social psychology of intergroup relations and group processesSouth African Journal of Psychology, 21
J. Digman (1990)
PERSONALITY STRUCTURE: EMERGENCE OF THE FIVE-FACTOR MODELAnnual Review of Psychology, 41
I. Myers (1985)
Manual: A Guide to the Development and Use of the Myers-Briggs Type Indicator
Rosanna Garcia, R. Calantone (2002)
A critical look at technological innovation typology and innovativeness terminology: a literature reviewJournal of Product Innovation Management, 19
N. Pals (2004)
Paper 3 : Evolution of behaviour predicting the adoption of innovations
Michael Lawrence, P. Goodwin, M. O'Connor, D. Önkal (2006)
Judgmental forecasting: A review of progress over the last 25 yearsInternational Journal of Forecasting, 22
D. Dennett (1995)
Darwin's Dangerous Idea
O. John, S. Srivastava (1999)
The Big Five Trait taxonomy: History, measurement, and theoretical perspectives.
L. Tornatzky, K. Klein (1982)
Innovation characteristics and innovation adoption-implementation: A meta-analysis of findingsIEEE Transactions on Engineering Management, EM-29
L. Brenner, Derek Koehler (1996)
Overconfidence in Probability and Frequency Judgments : A Critical Examination
Eric Hippel (1986)
Lead users: a source of novel product conceptsManagement Science, 32
A. Zihlman, R. Boyd, P. Richerson (1988)
Culture and the Evolutionary ProcessBioScience
V. Morwitz, J. Steckel, Alok Gupta (2006)
When Do Purchase Intentions Predict Sales?
P. Trott (2004)
Innovation Management And New Product Development
J. Tidd, J. Bessant, K. Pavitt (2001)
Managing Innovation: Integrating Technological, Market, and Organizational Change, 2nd Edition
F. Bass (2004)
A New Product Growth for Model Consumer DurablesManag. Sci., 50
Purpose – The purpose of this paper is to describe a method of estimating the likelihood that a person with particular characteristics will imitate a particular new behaviour (i.e. the use of an innovation). This estimation can be used to provide a new form of forecast for the likely market demand for an innovation. Design/methodology/approach – This method, termed imitation analysis, is based on imitation theories from the behavioural sciences and is applied in two recent case studies in The Netherlands: broadcast TV on mobile phones and a mobile friend‐network service. Findings – These cases illustrate how: the market segments with the highest potential can be identified; marketing communication can be focused on specific issues important for each segment (e.g. based on the highest imitation potential); product design can be improved (by highlighting the characteristics with the most room for improving the imitation potential); and market demand can be modelled (the overall chance of imitation occurring). Practical implications – Management implications for the two services, as well as the usefulness of imitation analysis in forecasting studies, are discussed. Originality/value – The paper expands on original work published in this journal in 2005, showing the value of the approach in real‐world settings.
European Journal of Innovation Management – Emerald Publishing
Published: Jan 23, 2009
Keywords: Consumer behaviour; Forecasting; Product development; Telecommunications; Supply; demand and exchange
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