Browsing by Author "Fisher, Patricia J."
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- Developing a Retail Buying Model Based on the Use of Assortment Decision FactorsBahng, Youngjin (Virginia Tech, 2011-06-03)As end-consumers are surrounded by a tremendous number of multi-channel retailers and their products, clothing retailers are exposed to numerous clothing samples with a variety of styles in various price ranges, offered by onshore and offshore manufacturers. Although manufacturers or vendors offer well-salable products, a retail business may not be successful in maximizing profits without a strategic retail buying planning process. The purpose of this study is to develop a retail buying model for clothing retailers. In order to test the variables that comprise the retail buying model, the objectives of the study are to: (a) investigate important assortment decision factors for clothing retail buying; (b) segment clothing retail buyers by their decision factor uses; (c) characterize the segments by buyer (i.e., age, gender, education, experience, employment) and company demographics (i.e., types of products, type of store, size of the firm); (d) examine the relationship between these demographic variables and the factor uses; (e) examine the influence of the factor uses on the success of assortment planning; (f) examine the influence of the success of assortment planning on firm performance; and, (g) examine the influence of extraneous variables (i.e., retail environment) on firm performance. After two pilot tests, adjustments were made to wording in the questionnaire. Data collection, using a pen and paper questionnaire, was conducted using convenience and snowball sampling. Through this method, 425 clothing retail buyers, merchandisers, or store owners, who are involved assortment planning and buying in South Korea, participated in the survey. A variety of statistical analyses was used to test the hypotheses. For testing Hypothesis 1, the mean and standard deviation of the assortment factor items were used to rank important decision factors for assortment planning. To test Hypothesis 2, retail buyers were segmented by their assortment decision factor use through exploratory factor analysis and K-means cluster analysis. For Hypothesis 3, Chi-square was utilized to characterize the segments of buyers and merchandisers from Hypothesis 2, using buyer and company demographics. For Hypothesis 4, Pearson and Spearman Correlations were used to test if correlations exist between buyer and company demographic variables and decision factor use. For Hypotheses 5 to 7, a Structural Equation Model (SEM) was developed to test if causal relationships exist among assortment decision factor use, the success of assortment planning, firm performance, and retail environment. All Hypotheses were fully or partially supported. Based on the results of hypotheses testing, the finalized retail buying model was developed. The finalized retail buying model based on the use of assortment decision factors will benefit retailers by helping retail buyers to analyze available information and identify the need for additional decision factors. Due to the use of convenience and snowball sampling as well as the limited geographic location of the survey, the finding of the current study cannot be generalized to the general population of clothing retail buyers. Future studies using probability sampling methods, utilizing qualitative methods, and/or examining in different countries, are suggested to verify the current findings and confirm the validity of the framework.
- The Evolution of Luxury: Brand Management of Luxury Brands, Old and NewCavender, Rayecarol (Virginia Tech, 2012-06-21)This qualitative study contributed to the growing body of research in luxury brand management by constructing a framework that can be utilized by luxury companies and conglomerates to develop their business strategies. The purpose was to examine: (a) how the chosen luxury firm is addressing the changing business environment of the luxury goods industry and the changing consumer environment targeted by that industry, (b) how the firm is managing growth trade-offs, and (c) how the firm is adapting its marketing orientations to become consumer-centric and experiential. Six research questions guided the study, and data collection and analysis took place in two parts. Methods for this study included and in-depth review of literature, an exploration of the business environment, and a case study. The study concluded with the formation of a strategic management framework specific to the luxury goods industry. Data analysis included an in-depth exploration of the evolution of the business environment of the luxury goods industry from the mid-1800s to the first decade of the 2000s, and a case study of the sample luxury goods company, Louis Vuitton. A historical review was conducted beginning with the company's inception in 1854 and continuing through the formation of the LVMH conglomerate in 1987. Exploration brand management successes and failures helped identify information relevant to variables in selected business categories (business environment, corporate environment, marketing strategy). Analysis of the case study resulted in the refinement of the four brand management variables: corporate, brand management, trade-off, and strategic planning. Environmental determinism and the zeitgeist were evidenced to be important factors that shaped the business strategies of LVMH and its brands. Strategic planning and strategic management response were identified as ongoing strategies that helped LVMH and its brands to effectively address and respond to environmental changes. Both environmental determinism and the zeitgeist and the use of strategic management response were incorporated into the luxury brand management framework as overarching themes for explaining the influences and responses for the four management indicators.
- Gender differences in financial risk toleranceFisher, Patricia J.; Yao, Rui (Elsevier, 2017-08-01)The purpose of this research is to explore gender differences in financial risk tolerance using a large, nationally representative dataset, the Survey of Consumer Finances. The impact of the explanatory variables in the model is allowed to differ between men and women to decompose gender differences in financial risk tolerance. The results indicate that gender differences in financial risk tolerance are explained by gender differences in the individual determinants of financial risk tolerance, and that the disparity does not result from gender in and of itself. The individual variables that moderate the relationship between gender and high risk tolerance are income uncertainty and net worth, with income uncertainty moderating the relationship between gender and some risk tolerance. Financial fiduciaries should understand the differences in income uncertainty and net worth between men and women and how those differences relate to risk tolerance.
- Women's Retirement Income Satisfaction and Saving BehaviorsHsu, Chungwen (Virginia Tech, 2013-01-11)Retirement saving research frequently has investigated the differences between working men and working women and primarily focused on the near retirement and retirement years. There is limited research targeting young to old working-age women including those who do not work for pay and are unemployed. The purpose of this study was to examine what factors affect non-retired working-age (25 years and older) women's retirement saving behaviors, retirement savings, and retirement income satisfaction. To implement the study, a research framework was developed based on Deacon and Firebaugh's Family Resource Management Model. The research framework for this study consisted of three major sections: (a) input (demographics, saving motives, retirement saving involvement level, retirement information seeking, current financial assets and debts, and future expectations), (b) throughput (retirement saving behaviors such as calculating needed retirement savings, being a retirement saver, starting saving for retirement age, and being a regular retirement saver), and (c) output (the objective retirement savings and the subjective retirement income satisfaction). An online survey instrument was developed to obtain data for the study. Two pilot tests were conducted to confirm the validity and reliability of the instrument. Data for this study were collected from a national population between May 25, 2012 and May 30, 2012 with 591 valid responses. Several statistical methods were employed: descriptive statistics, one-way between-groups analysis of variance (ANOVA), direct logistic regression, and standard multiple regression. From the results of the study, only about one-third of the women (31.8%) reported they expect to get the full amount of Social Security retirement income that today's retirees get. However, around 60% of the women only save less than $25,000 or none in employer-provided retirement accounts or in personal investments and savings. There is an un-addressed gap between the cognition of the need to save for retirement and real saving action. A regular retirement saver is more likely to save more in employer-provided retirement accounts and to feel more satisfied with that retirement income. Yet, regular retirement savers have less savings in personal investments and savings, possibly because they believe their work investments will be sufficient or some women may make direct deposits to meet the annual limits of retirement plans. Other researchers have not reported this relationship. Those women who are more cognitively involved with saving for retirement are more likely to calculate needed retirement savings and to be a retirement saver, but they are less satisfied with retirement income from Social Security and from personal investments and savings. Satisfaction level is subjective; thus, those who expect to own more types of assets in retirement may have a higher satisfaction level with the expected income from both employer-sponsored retirement accounts and personal investments and savings. Generally, greater satisfaction with expected retirement income is associated with higher accumulation in retirement savings, and the female savers have much more retirement savings than non-savers. However, there is no difference in the retirement income satisfaction of savers and non-savers. These findings have implications for financial educators, counselors and advisors, researchers, employers, and policy makers. There are recommendations for women and future research.