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http://dx.doi.org/10.5850/JKSCT.2017.41.2.378

The Effect of the Organizational Characteristics of Fashion Companies on Acceptance Intention of Big Data Analysis System  

Jang, Seyoon (Strategic Planning Team, Korea Color and Fashion Trend Center)
Yang, Sujin (Consumer Science & Living Culture Industry, Sungshin Women's University)
Publication Information
Journal of the Korean Society of Clothing and Textiles / v.41, no.2, 2017 , pp. 378-391 More about this Journal
Abstract
The application of Big Data has been introduced to the Korean fashion industry; however, the literature has not yet investigated how well high technologies are being perceived and adopted by the practitioners of fashion companies. Recognizing the lack of research, the current research explores how big data analysis has been adopted by fashion practitioners based on the Technology Acceptance Model (TAM) that considers the effect of organizational characteristics (i.e., innovation, slack, and IS infra maturity). First, all TAM relationships were accepted as significant; however, the effect of perceived ease of use on the attitude toward big data was greater than perceived usefulness. Regarding organizational characteristics, while organization innovation had positive impacts on perceived usefulness as well as perceived ease of use, organization slack did not show significant and positive influence on perceived ease of use only. On the other hand, IS infra maturity had a negative effect on perceived usefulness while it did not have any significant impact on perceived ease of use. Finally, the level of perceived usefulness is decreasing as the IS infra of the fashion organization becomes more mature. With the results, the study suggested that fashion industry needs more education on the usage of big data analysis systems and development in related analysis tools.
Keywords
Big data analysis system; Fashion industries; Technology acceptance model; Organizational characteristics;
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Times Cited By KSCI : 4  (Citation Analysis)
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