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Journal Article Multivariate Analysis of Covariance on Characteristics Influencing Technological and Managerial Barriers of Technology Startups
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Authors
Geonil Ko, Namjae Cho
Issue Date
2024-02
Citation
Journal of Information Technology Applications & Management, v.31, no.1, pp.27-43
ISSN
1598-6284
Publisher
한국데이터전략학회
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.21219/jitam.2024.31.1.027
Abstract
This study investigated technological and managerial barriers in technology startups through a survey of 151 companies, yielding 118 responses (78.1% response rate). Factor and multivariate analyses identified two distinct barriers: technological and managerial. Reliability analysis validated the measurement tool. Using MANCOVA, 12 hypotheses were tested, incorporating six independent variables. Results revealed significant disparities in technological and managerial barriers based on establishment type, commercialization goals, growth stage, and commercialization stage, with 5 hypotheses supported. This study highlights the crucial role of these variables in understanding barriers within technology-based startups.
KSP Keywords
Analysis of covariance, Growth stage, Measurement tools, Multivariate analyses, Multivariate analysis, Response rate, independent variables, reliability analysis