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High-visibility safety apparel (HVSA) is personal protective clothing that provides visual conspicuity to reduce police officers’ risk of fatality or injury from road traffic accidents. Under the current U.S. Department of Transportation’s Federal Highway Administration regulations, police officers on or near Federal-Aid highways are mandated to wear HVSA to enhance their visibility. Although wearing HVSA can significantly prevent traffic-related fatalities among police officers, studies have shown that they do not consistently, or ever, wear it. This study identifies factors influencing HVSA noncompliance among officers by exploring their perceptions of its use and efficiency. Ninety-eight police officers completed a field survey in four cities in Yavapai County, Arizona; their responses were analyzed via predictive decision tree modeling. The results indicated that officers’ HVSA-wearing behavior can be predicted by safety ethics, professional appearance, occupation risk, functionality of HVSA, and safety education. Among these predictors, safety ethics and professional appearance were the most important factors in forecasting officers’ HVSA-wearing behavior. Our study contributes to enhancing knowledge about the psychological aspects of officers’ HVSA-wearing behavior and provides implications for improving their traffic safety policies and compliance in the law enforcement community.
Mijin Kim; Christina Song. Understanding Police Officers’ Usage of High-Visibility Safety Apparel: The Role of Safety Ethics and Professional Appearance. Safety 2021, 7, 15 .
AMA StyleMijin Kim, Christina Song. Understanding Police Officers’ Usage of High-Visibility Safety Apparel: The Role of Safety Ethics and Professional Appearance. Safety. 2021; 7 (1):15.
Chicago/Turabian StyleMijin Kim; Christina Song. 2021. "Understanding Police Officers’ Usage of High-Visibility Safety Apparel: The Role of Safety Ethics and Professional Appearance." Safety 7, no. 1: 15.
Christina Soyoung Song; Youn-Kyung Kim. Should We Be Afraid of Artificial Intelligence? Consumer Willingness to Share Personal Information with Fashion Sales Robots. Pivoting for the Pandemic 2020, 77, 1 .
AMA StyleChristina Soyoung Song, Youn-Kyung Kim. Should We Be Afraid of Artificial Intelligence? Consumer Willingness to Share Personal Information with Fashion Sales Robots. Pivoting for the Pandemic. 2020; 77 (1):1.
Chicago/Turabian StyleChristina Soyoung Song; Youn-Kyung Kim. 2020. "Should We Be Afraid of Artificial Intelligence? Consumer Willingness to Share Personal Information with Fashion Sales Robots." Pivoting for the Pandemic 77, no. 1: 1.
Drawing upon the theory of human–robot interaction (HRI), this study examined the relations among perceived characteristics of fashion robot advisors (FRAs), consumers’ negative preconceptions toward robots, and positive dispositions toward technology to identify network differences in adoption and nonadoption groups. For interviews, pretests, and main data collection, we presented video clips of FRAs as stimuli. Based on the data ( n = 464) collected via an online survey, we conducted psychological network analysis to explore defining factors that differentiate adoption and nonadoption groups. The results indicate that perceived characteristics of social intelligence, humanlikeness, and knowledgeableness combined with a positive disposition of technological self-efficacy lead to adoption of FRAs. This study contributes to the literature on the theory of HRI and technology acceptance models, particularly in fashion retail sectors. Furthermore, this study provides a new graphical approach to networks that conceptualizes shoppers’ adoption of technology as a complex interplay of psychological attributes.
So Young Song; Youn-Kyung Kim. Factors Influencing Consumers’ Intention to Adopt Fashion Robot Advisors: Psychological Network Analysis. Clothing and Textiles Research Journal 2020, 1 .
AMA StyleSo Young Song, Youn-Kyung Kim. Factors Influencing Consumers’ Intention to Adopt Fashion Robot Advisors: Psychological Network Analysis. Clothing and Textiles Research Journal. 2020; ():1.
Chicago/Turabian StyleSo Young Song; Youn-Kyung Kim. 2020. "Factors Influencing Consumers’ Intention to Adopt Fashion Robot Advisors: Psychological Network Analysis." Clothing and Textiles Research Journal , no. : 1.
This study determines which factors influence thrift store clothing shopping behavior based on retail attributes (self-oriented) and personal orientations (others-oriented) using a decision tree model. An online consumer panel survey was distributed to individuals in the US via MTurk. A decision tree of thrift store shopping (TS) is created with RPART. The target variable is the number of items purchased at a thrift store within the past 12 months. The results indicate that membership in the High TS occurs when consumers value the self-oriented attribute of the treasure hunting experience and display the other-oriented attribute of the responsible behavior to some extent. While TS shoppers are generally conscious about the price point in their consumption behavior, the modest influence of the name brand is apparent in consumers’ TS purchase behavior.
Mostafa Zaman; So Young Song; Theresa Hyunjin Kwon; Youn-Kyung Kim. Profiling Thrift Store Shoppers with a Decision Tree Predictive Model. Sustainability in Fashion - 2020, 1, 1 .
AMA StyleMostafa Zaman, So Young Song, Theresa Hyunjin Kwon, Youn-Kyung Kim. Profiling Thrift Store Shoppers with a Decision Tree Predictive Model. Sustainability in Fashion -. 2020; 1 (1):1.
Chicago/Turabian StyleMostafa Zaman; So Young Song; Theresa Hyunjin Kwon; Youn-Kyung Kim. 2020. "Profiling Thrift Store Shoppers with a Decision Tree Predictive Model." Sustainability in Fashion - 1, no. 1: 1.
This study examines the relationship between warmth and two attributes of advertising effectiveness (brand attitudes and ad trust). Further, it explains the moderating role of self-efficacy that accelerates the relationship between warmth and advertising effectiveness and proposes a research model of green apparel advertising. A multi-group analysis is conducted with Mplus 7.31. The results indicate that warmth positively influences brand attitude and ad trust that lead to engagement in positive WOM, which increases the purchase intention of green apparel. The relationship between warmth and brand attitude is stronger when their self-efficacy is higher. However, the relationship between warmth and ad trust is weaker when they possess high self-efficacy. This study presents strong evidence that self-efficacy has a substantial impact on the relationship between emotions and brand attitude and trust in green apparel ads.
So Young Song; Youn-Kyung Kim. The Moderating Role of Self-Efficacy on the Relationship between Warmth Arousal and Effectiveness of Green Apparel Advertising. Sustainability in Fashion - 2020, 1, 1 .
AMA StyleSo Young Song, Youn-Kyung Kim. The Moderating Role of Self-Efficacy on the Relationship between Warmth Arousal and Effectiveness of Green Apparel Advertising. Sustainability in Fashion -. 2020; 1 (1):1.
Chicago/Turabian StyleSo Young Song; Youn-Kyung Kim. 2020. "The Moderating Role of Self-Efficacy on the Relationship between Warmth Arousal and Effectiveness of Green Apparel Advertising." Sustainability in Fashion - 1, no. 1: 1.
With the increased awareness about ecological concerns and the growing popularity of sustainable fashion, thrift retail stores are growing fast both in number and sales. However, limited research has examined thrift stores as a distinct retail sector from a general second-hand retail sector that includes both non-profit thrift stores and for-profit resale stores. To fill this void, this study identified the motivational antecedents of thrift store shopping behavior (TSSB) and profiled thrift shoppers by developing a decision tree predictive model of TSSB. The results provide the key driving factors of TSSB including self-oriented factors (treasure hunting, seeking name brand products) and others-oriented factors (responsible citizenship). Practical implications are also suggested for thrift store managers.
Hyejune Park; Theresa Anna Kwon; Mostafa Zaman; So Young Song. Thrift shopping for clothes: To treat self or others? Journal of Global Fashion Marketing 2019, 11, 56 -70.
AMA StyleHyejune Park, Theresa Anna Kwon, Mostafa Zaman, So Young Song. Thrift shopping for clothes: To treat self or others? Journal of Global Fashion Marketing. 2019; 11 (1):56-70.
Chicago/Turabian StyleHyejune Park; Theresa Anna Kwon; Mostafa Zaman; So Young Song. 2019. "Thrift shopping for clothes: To treat self or others?" Journal of Global Fashion Marketing 11, no. 1: 56-70.
In this study, we identify impure altruism as a duality of altruistic and egoistic warmth. We examine how these feelings motivate consumers to buy green apparel in response to advertisements. We test the effectiveness of the message orientation and its interactivity with a beneficiary and propose modeling impure altruism as the reason why consumers purchase green apparel. The study uses a quasi-experiment to estimate a comparison effect among advertising stimuli. We conduct an online survey among US consumers that garnered 586 responses for the main data analysis. The results indicate that egocentric appeals increase perceived uniqueness and that human beneficiary appeals lead to higher communal harmony. The findings show that communal harmony and global wellbeing prompt altruistic warmth and that uniqueness and product quality encourage egoistic warmth. Notably, altruistic warmth contributes to egoistic warmth, which indicates the existence of impurely altruistic consumers. Both altruistic and egoistic warmth lead to the intention of purchasing green apparel. We recommend “feel-good” marketing strategies to publicize the benefits of a sustainable lifestyle. The study contributes to the theoretical development of sustainability and can serve as an extension of a discrete model of altruism and egoism on consumers’ sustainable behavior.
So Young Song; Youn-Kyung Kim. Doing Good Better: Impure Altruism in Green Apparel Advertising. Sustainability 2019, 11, 5762 .
AMA StyleSo Young Song, Youn-Kyung Kim. Doing Good Better: Impure Altruism in Green Apparel Advertising. Sustainability. 2019; 11 (20):5762.
Chicago/Turabian StyleSo Young Song; Youn-Kyung Kim. 2019. "Doing Good Better: Impure Altruism in Green Apparel Advertising." Sustainability 11, no. 20: 5762.
Woong Yeol Joe; So Young Song. Applying Human-Robot Interaction Technology in Retail Industries. International Journal of Mechanical Engineering and Robotics Research 2019, 1 .
AMA StyleWoong Yeol Joe, So Young Song. Applying Human-Robot Interaction Technology in Retail Industries. International Journal of Mechanical Engineering and Robotics Research. 2019; ():1.
Chicago/Turabian StyleWoong Yeol Joe; So Young Song. 2019. "Applying Human-Robot Interaction Technology in Retail Industries." International Journal of Mechanical Engineering and Robotics Research , no. : 1.
Drawing upon the theory of human-robot-interaction (HRI), this study examined which perceived characteristics of fashion robot advisors (FRAs) and consumers’ preconceptions of technology identify network differences in positive and negative adoption groups. We presented video clips of FRAs to a focus group and conducted personal interviews to explore the emergence of robots in fashion retailing. Based on the data (n = 464) collected via online survey, we built a joint-network model to identify important factors that differentiate negative and positive adoption groups. The results indicate that the FRAs’ perceived characteristics of social intelligence, humanlikeness, and knowledgeableness combined with the preconceptions of technological self-efficacy lead to positive adoption of FRAs. This study contributes to expanding the knowledge about fashion robotics in retailing and human-robot interaction. Furthermore, this study provides a new graphical approach to joint networks that conceptualizes fashion shoppers’ adoption of technology as a complex interplay of psychological attributes.
So Young Song; Youn-Kyung Kim. Consumers� Adoption of Fashion Robot Advisers: A Joint-Network Analysis. International Textile and Apparel Association Annual Conference Proceedings 2019, 76, 1 .
AMA StyleSo Young Song, Youn-Kyung Kim. Consumers� Adoption of Fashion Robot Advisers: A Joint-Network Analysis. International Textile and Apparel Association Annual Conference Proceedings. 2019; 76 (1):1.
Chicago/Turabian StyleSo Young Song; Youn-Kyung Kim. 2019. "Consumers� Adoption of Fashion Robot Advisers: A Joint-Network Analysis." International Textile and Apparel Association Annual Conference Proceedings 76, no. 1: 1.
This study uses a human-centered approach to environmental ethics to examine which perceived factors in advertising predict consumers’ intention to purchase “green”, or sustainably and ethically produced, apparel. We use eight different types of green apparel advertisements to build a decision tree model to determine the most influential factors that lead to future purchases of green apparel. We classify consumers’ perceptions of green advertising as either humanistic, environmental, or product-related responses and propose a conceptual framework to outline the essential elements of an effective green advertising strategy. We use a sample of 829 US consumers from the period January 2015 to December 2017 in our empirical research. Our results show that four factors, namely, perception of the apparel’s quality, its uniqueness, caring, and nature connectedness, predict consumers’ intention to purchase green apparel. Notably, the largest segment of consumers (36%), those who perceive high levels of apparel quality and caring in the advertising, are identified as the high-purchase group. Our findings could improve strategies in green apparel advertising by providing a new analytical approach to model consumers’ behavioral intention to purchase green apparel.
So Young Song; Youn-Kyung Kim. A Human-Centered Approach to Green Apparel Advertising: Decision Tree Predictive Modeling of Consumer Choice. Sustainability 2018, 10, 3688 .
AMA StyleSo Young Song, Youn-Kyung Kim. A Human-Centered Approach to Green Apparel Advertising: Decision Tree Predictive Modeling of Consumer Choice. Sustainability. 2018; 10 (10):3688.
Chicago/Turabian StyleSo Young Song; Youn-Kyung Kim. 2018. "A Human-Centered Approach to Green Apparel Advertising: Decision Tree Predictive Modeling of Consumer Choice." Sustainability 10, no. 10: 3688.
This study examines the personality traits of people who tend to engage in social media as opinion leaders in the context of the travel industry. Specifically, we investigate the extent to which openness, exhibitionism, and competence in interpersonal relationships and flow experience affect the propensity of opinion leadership (OLP) and opinion leadership behavior (OLB). The proposed model was tested with two significant populations in social media, Generation X and Generation Y. The results indicate that openness, exhibitionism, and competence in interpersonal relationships significantly increase OLP. We also find that flow experience (i.e., playfulness and time distortion) strengthens the relationship between OLP and OLB. While the model holds true for both populations, the results show that the role of exhibitionism in OLP is more pronounced for Generation X than Generation Y.
So Young Song; Erin Cho; Youn-Kyung Kim. Personality factors and flow affecting opinion leadership in social media. Personality and Individual Differences 2017, 114, 16 -23.
AMA StyleSo Young Song, Erin Cho, Youn-Kyung Kim. Personality factors and flow affecting opinion leadership in social media. Personality and Individual Differences. 2017; 114 ():16-23.
Chicago/Turabian StyleSo Young Song; Erin Cho; Youn-Kyung Kim. 2017. "Personality factors and flow affecting opinion leadership in social media." Personality and Individual Differences 114, no. : 16-23.
Drawing upon the theory of virtue ethics, this study builds a decision tree predictive model to explore the anticipated impact of good traits (i.e., virtuous and personality traits) on socially responsible consumption. Using R statistical software, we generate a classification tree and cross-validate the model on two independent datasets. The results indicate that the virtuous traits of self-efficacy, courage, and self-control, as well as the personality traits of openness and conscientiousness, predict socially responsible purchase and disposal behavior. Remarkably, the largest segment of socially responsible consumers in the study (41 %) scored high in self-efficacy and openness. This result suggests that marketers should focus on these good traits when creating advertisements to encourage sustainable consumption. Our study contributes to enhancing knowledge about the social and psychological aspects of the sustainability movement and provides a new analytical approach to predicting socially responsible consumption.
So Young Song; Youn-Kyung Kim. Theory of Virtue Ethics: Do Consumers’ Good Traits Predict Their Socially Responsible Consumption? Journal of Business Ethics 2016, 152, 1159 -1175.
AMA StyleSo Young Song, Youn-Kyung Kim. Theory of Virtue Ethics: Do Consumers’ Good Traits Predict Their Socially Responsible Consumption? Journal of Business Ethics. 2016; 152 (4):1159-1175.
Chicago/Turabian StyleSo Young Song; Youn-Kyung Kim. 2016. "Theory of Virtue Ethics: Do Consumers’ Good Traits Predict Their Socially Responsible Consumption?" Journal of Business Ethics 152, no. 4: 1159-1175.
So Young Song; Youn-Kyung Kim. Law Enforcement Officers’ High-Visibility Safety Apparel: The Effect of Their Attitudes on Wearing Behavior. Law Enforcement Officers’ High-Visibility Safety Apparel: The Effect of Their Attitudes on Wearing Behavior 2014, 1 .
AMA StyleSo Young Song, Youn-Kyung Kim. Law Enforcement Officers’ High-Visibility Safety Apparel: The Effect of Their Attitudes on Wearing Behavior. Law Enforcement Officers’ High-Visibility Safety Apparel: The Effect of Their Attitudes on Wearing Behavior. 2014; ():1.
Chicago/Turabian StyleSo Young Song; Youn-Kyung Kim. 2014. "Law Enforcement Officers’ High-Visibility Safety Apparel: The Effect of Their Attitudes on Wearing Behavior." Law Enforcement Officers’ High-Visibility Safety Apparel: The Effect of Their Attitudes on Wearing Behavior , no. : 1.