Extending consumer categorization based on innovativeness: Intentions and technology clusters in consumer electronics
Author(s) -
van Rijnsoever Frank J.,
Castaldi Carolina
Publication year - 2011
Publication title -
journal of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1532-2890
pISSN - 1532-2882
DOI - 10.1002/asi.21567
Subject(s) - categorization , purchasing , relevance (law) , electronics , product (mathematics) , marketing , consumer behaviour , sample (material) , computer science , business , data science , artificial intelligence , mathematics , engineering , electrical engineering , chemistry , geometry , chromatography , political science , law
Consumer categorizations based on innovativeness were originally proposed by E.M. Rogers (2003) and remain of relevance for predicting purchasing behavior in high‐tech domains such as consumer electronics. We extend such innovativeness‐based categorizations in two directions: We first take into account the existence of technology clusters within product domains and then enrich the definition of consumer innovativeness by considering not only past adoption behavior but also future purchase intentions. We derive a novel consumer categorization based on data from a sample of 2,094 Dutch consumers for the case of consumer electronics. In so doing, we apply endogenous categorization techniques that represent a methodological improvement with respect to previously applied techniques.
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