Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/294982 
Year of Publication: 
2022
Citation: 
[Journal:] Junior Management Science (JUMS) [ISSN:] 2942-1861 [Volume:] 7 [Issue:] 1 [Year:] 2022 [Pages:] 112-133
Publisher: 
Junior Management Science e. V., Planegg
Abstract: 
It is a central aim of Product Innovation Management to find the factors that influence consumers' decision to adopt innovations. In this quantitative, empirical thesis, I illuminate a new, irrational side of consumers' intention to adopt product innovations by drawing on Novelty Categorization Theory. I analyse the research question: Does the situational, dichotomous and cognitive factor processing style (global vs. local processing) (i) affect consumers' intention to adopt innovations and does the effect (ii) vary depending on different levels of consumers' personal predisposition to resist innovations? I recruit participants from the crowdsourcing platform Amazon Mechanical Turk (MTurk) and test the effects by means of multivariate, linear regression analysis. With this thesis I contribute to theory by altering the Innovation Decision Model and contribute to practice by uncovering a factor that can be utilized for the invention of new marketing instruments.
Subjects: 
Product innovation management
innovation resistance
local and global processing
consumer behavior
innovation decision model
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article
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