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FASHION INNOVATIVENESS PREDICTORS: PERCEIVED ATTRIBUTES OF INNOVATIONS AND PSYCHOGRAPHICS.

机译:时尚创新预测者:创新和心理学的感知属性。

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The study was designed to investigate the role of perceived attributes of innovations and psychographics in predicting fashion innovativeness in the area of apparel. A descriptive survey design was used to achieve the objectives of the study. The dependent variable in the study was fashion innovativeness; two sets of independent variables were used in an attempt to predict fashion innovativeness: perceived attributes of innovations and psychographics.; The questionnaire was administered to 181 undergraduate women enrolled in an introductory marketing course at a large midwestern university. The questionnaire consisted of four measures which were developed or adapted for use in the study: Fashion Innovativeness, Perceived Attributes of Innovations, Psychographics, and Fashion Information Sources.; The principal statistical tests employed in the study were factor analysis, stepwise multiple regression, and Cronbach's coefficient alpha test for reliability. The reliability coefficients for the measures were as follows: Perceived Innovation Attributes, .83; Psychographics, .86; Fashion Information Sources, .86.; Before the hypotheses were tested the Psychographic Measure and the Perceived Attributes of Innovations Measure were factor analyzed which resulted in four factors for the Psychographic Measure: Fashion Interest, Self-confidence, Venturesomeness, and Body Satisfaction; and, three factors for the perceived Attributes of Innovations Measure: Relative Advantage, Perceived Risk, and Compatibility.; Respondents' factor scores on the perceived Attributes of Innovations Measure and Psychographic Measure and total scores on the Fashion Information Sources Measure were entered into the stepwise multiple regression analysis. Three of the variables were found to be predictive of Fashion Innovativeness: Relative Advantage, Fashion interest, and Perceived risk. The results of the study provide evidence that Perceived Attributes of Innovations are more predictive of Fashion Innovativeness than Psychographics. The findings have implications for apparel marketers in that Perceived Attributes of Innovations may be useful in predicting early adoption of new clothing styles.
机译:该研究旨在调查创新和心理特征的感知属性在预测服装领域的时尚创新性中的作用。描述性调查设计用于实现研究目标。研究中的因变量是时尚创新性。为了预测时尚的创新性,使用了两组自变量:感知到的创新属性和心理特征。该问卷是针对181名在大型中西部大学参加营销入门课程的女大学生的。问卷由四项措施组成,这些措施已开发或适用于研究:时尚创新性,创新的感知属性,心理学和时尚信息源。该研究中采用的主要统计检验是因素分析,逐步多元回归和Cronbach系数α检验以确保可靠性。这些措施的可靠性系数如下:感知的创新属性,.83;心理学,.86;时尚信息来源,.86。在检验假设之前,先对心理测度和创新测度的感知属性进行因素分析,得出心理测度的四个因素:时尚兴趣,自信心,创业精神和身体满意度。以及对创新度量的感知属性的三个因素:相对优势,感知风险和兼容性。将受访者在“创新测度”和“心理测度”的感知属性上的因子得分以及在“时尚信息来源测度”中的总得分输入到逐步多元回归分析中。发现以下三个变量可预测时装创新性:相对优势,时装兴趣和感知风险。研究的结果提供了证据,即创新的感知属性比心理学更能预测时尚的创新性。该发现对服装营销人员有影响,因为“感知的创新属性”可能有助于预测新服装款式的早期采用。

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