Designing and Validating a Model for Measuring Innovation Capacity Construct
Author(s) -
Mahmood Doroodian,
Mohd Nizam Ab Rahman,
Yusniza Kamarulzaman,
Norhamidi Muhamad
Publication year - 2014
Publication title -
advances in decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.178
H-Index - 13
eISSN - 2090-3367
pISSN - 2090-3359
DOI - 10.1155/2014/576596
Subject(s) - commercialization , construct (python library) , scale (ratio) , confirmatory factor analysis , reliability (semiconductor) , knowledge management , innovation management , exploratory factor analysis , business , process (computing) , construct validity , process management , competitive advantage , computer science , marketing , power (physics) , physics , quantum mechanics , patient satisfaction , programming language , service (business) , operating system
In today’s rapid changing and highly competitive business environment, innovation is broadly recognized as a powerful competitive weapon. Innovation is a dynamic process that needs continuous, evolving, and mastered management. Thus, companies need to monitor and measure their innovation capacity to manage the innovation process. Yet, there is lack of a psychometrically valid scale for innovation capacity construct in the current innovation literature. The purpose of this paper is to develop a reliable and valid scale of measurement for innovation capacity. To test its unidimensionality, reliability, and several components of validity, we used data collected from 175 small- and medium-sized enterprises (SMEs) in Iran and performed a series of analyses. The reliability measures, exploratory and confirmatory factor analyses, and several components of validity tests strongly support a four-dimensional scale for measuring innovation capacity. The dimensions are knowledge and technology management, idea management, project development, and commercialization capabilities
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