Journal of the Korean Society of Clothing and Textiles
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v.33
no.11
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pp.1707-1718
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2009
This study examines the effects of perceived risks on purchase decision behavior among Internet fashion consumers. The study survey used a self-administered questionnaire and a total data of 244 responses were used for analysis. The results of this study are as follows: First, the perceived risks consist of 6 factors, quality risk, counterfeit product risk, credit dealing risk, social/psychological risk, size and appearance risk, and delivery risk. The purchase decision behavior consist of 3 factors, delay of purchase decision, website switching, and offline conversion behavior. Second, purchase time positively affected the quality risk and credit dealing risk. Purchase frequency negatively affected the quality risk and credit dealing risk. Third, the quality risk, size and appearance risk, counterfeit product risk, and credit dealing risk positively affected the delay of purchase decisions. Quality risk and counterfeit product risk positively affected website switching. In addition, quality risk, social/psychological risk, and credit dealing risk positively affected the offline conversion behavior. Fourth, credit dealing risk negatively affected a short term purchase intention and the delivery risk negatively affected a long term purchase intention. The social/psychological risk and credit dealing risk negatively affected the repurchase intention.
Journal of the Korean Society of Clothing and Textiles
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v.37
no.4
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pp.526-539
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2013
This study analyzed the effects of internet fashion consumer's anticipated regret and the selection difficulty on decision making delay and purchase switching intention. The survey was conducted in 2012 on internet fashion consumers in their 20s to 40s from May 1 to June 30; subsequently, 487 responses were used for the data analysis. The anticipated regret of internet fashion consumers was composed of product, service, social psychology, and function-related anticipated regret. The selection difficulty of internet fashion consumers was composed of process, information, and experience-related selection difficulty. There are significant differences in anticipated regret, selection difficulty, decision making delay, and purchase switching intention by gender. The anticipated regret (product, service, and social psychology-related anticipated regret) and selection difficulty effected decision making delay. In addition, the anticipated regret for product and selection difficulty by process or information influenced purchase switching intention. The results of this study provide useful information on the success and efficient operation of internet shopping malls.
This study analyzed the effects of internet fashion consumer's impulse buying tendency on positive and negative purchasing behaviors. A survey was conducted from October 1 to December 15 in 2010, and 407 responses from internet fashion consumers who made impulse purchases on the internet at least once for the last 6 months were used in the data analysis. As a result, the impulse buying tendency of internet fashion consumers was classified into pure impulse buying, reminder impulse buying, suggestion impulse buying, and stimulus impulse buying. The positive purchasing behaviors such as repurchase intention and purchase satisfaction were influenced by the impulse buying tendency. The all factors of impulse buying tendency had an effect on repurchase intention, while purchase satisfaction was influenced by the reminder impulse buying, suggestion impulse buying, and stimulus impulse buying. The negative purchasing behaviors were classified into delay in decision making and switching intention of purchase. The delay in decision making was influenced by the stimulus impulse buying, suggestion impulse buying, and reminder impulse buying. Also, the reminder impulse buying, suggestion impulse buying and pure impulse buying had an effect on switching intention of purchase. In addition, there were significant differences in the impulse buying tendency and delay in decision making between male and female internet fashion consumers.
While online shopping has been increased expeditiously, a significant portion of purchasing intention has not been converted into actual purchasing behavior without delay in online space. This study investigates the factors causing a delay in online purchasing decision even after purchasing intention has been formed. It identifies the uncertainty variables (information, psychological, and preference uncertainties) related to consumer needs and the situational variables (time pressure and past purchase experience) surrounding the purchasing transaction. Furthermore, the need for cognitive closure is proposed to moderate the relationships between uncertainty/situational variables and the purchasing behavior. The results show that the uncertainties and situational factors significantly influence purchasing delay. Also, the need for cognitive closure indeed works as a moderator between the uncertainty variables and the purchasing behavior. Practical and academic implications of these findings are also discussed.
Overview of Research: Product availability is one of important competences of store to fulfill consumer needs. If stock-outs which means a product what consumer wants to buy is not available occurs, consumer will face decision-making uncertainty that leads to consumer's negative responses such as consumer dissatisfaction on store. Stockouts was much studied in the field of academia as well as practice in other countries. However, stock-outs has not been researched at all in Marketing and/or Distribution area in Korea. The main objectives of this study are to find out determinants of consumer responses such as Substitute, Delay, and Leave(SDL) when consumer encounters out-of-stock situation and then to examine the effects of these factors on consumer responses. Specifically, this study focuses on situational characteristics(e.g., purchase urgency and surprise), store characteristics (e.g., product assortment and store convenience), and consumer characteristics (e.g., brand loyalty and store loyalty). Then, this study empirically investigates relationships these factors with consumers behaviors such as product substitution, purchase delay, and store switching.
shows the research model of this study. To accomplish above-mentioned research objectives, the following ten hypotheses were proposed and verified : ${\bullet}$ H 1 : When out-of-stock situation occurs, purchase urgency will increase product substitution but will decrease purchase delay and store switching among consumer responses. ${\bullet}$ H 2 When out-of-stock situation occurs, surprise will decrease product substitution and purchase delay but will Increase store switching among consumer responses. ${\bullet}$ H 3 : When out-of-stock situation occurs, purchase quantities will increase product substitution and store switching but will decrease purchase delay among consumer responses. ${\bullet}$ H 4 : When out-of-stock situation occurs, pre-purchase plan will decrease product substitution but will increase purchase delay and store switching among consumer responses. ${\bullet}$ H 5 : When out-of-stock situation occurs, product assortment will increase product substitution but will decrease purchase delay and store switching among consumer responses. ${\bullet}$ H 6 : When out-of-stock situation occurs, competitive store price image will increase product substitution and purchase delay but will decrease store switching among consumer responses. ${\bullet}$ H 7 : When out-of-stock situation occurs, store convenience will increase product substitution but will decrease purchase delay and store switching among consumer responses. ${\bullet}$ H 8 : When out-of-stock situation occurs, salesperson services will increase product substitution but will decrease purchase delay and store switching among consumer responses. ${\bullet}$ H 9 : When out-of-stock situation occurs, brand loyalty will decrease product substitution but will increase purchase delay and store switching among consumer responses. ${\bullet}$ H 10 When out-of-stock situation occurs, store loyalty will increase product substitution and purchase delay but will decrease store switching among consumer responses. Analysis: Data were collected from 353 respondents who experienced out-of-stock situations in various store types such as large discount stores, supermarkets, etc. Research model and hypotheses were verified using multinomial logit(MNL) analysis. Results and Implications:
is the estimation results of l\1NL model, and
shows the marginal effects for each determinant to consumer's responses(SDL). Significant statistical results were as follows. Purchase urgency, purchase quantities, pre-purchase plan, product assortment, store price image, brand loyalty, and store loyalty were turned out to be significant determinants to influence consumer alternative behaviors in case of out-of-stock situation. Specifically, first, product substitution behavior was triggered by purchase urgency, surprise, purchase quantities, pre-purchase plan, product assortment, store price image, brand loyalty, and store loyalty. Second, purchase delay behavior was led by purchase urgency, purchase quantities, and brand loyalty. Third, store switching behavior was influenced by purchase urgency, purchase quantities, pre-purchase plan, product assortment, store price image, brand loyalty, and store loyalty. Finally, when out-of-stock situation occurs, store convenience and salesperson service did not have significant effects on consumer alternative responses.
This study analyzed the effects of consumer confusion on shopping fatigue and negative purchasing behaviors in an internet shopping environment. Further, the effects of shopping fatigue on negative purchasing behaviors were analyzed. The survey was conducted among consumers in their 20s and 40s in the Seoul metropolitan area who had experience of purchasing fashion products through internet shopping. A total of 392 questionnaire were analysis, with frequency, reliability, factor, correlation, and regression analysis completed using the SPSS statistics program. The results of the study showed that consumer confusion and shopping fatigue in internet shopping environment affected negative purchasing behaviors. First, consumer confusion comprised overload confusion, similarity confusion, and ambiguity confusion. It was found that overload confusion and similarity confusion significantly affected shopping fatigue. Second, shopping fatigue significantly affected negative purchasing behaviors, and an increased level of shopping fatigue result in, increased purchase delay and non-purchase behavior. Third, consumer confusion (overload confusion, similarity confusion, ambiguity confusion) significantly affected purchase delay behavior, while similarity confusion and ambiguity confusion significantly affected non-purchasing behavior. These results will provide useful data for e-CRM and marketing directions of internet companies and will contribute to rational decision-making of internet consumers and improve the quality of consumer life.
Kim, Eun-cheol;Kim, Da-young;Kim, Pu-reum;Kang, Do-yoon;Park, Euna
Journal of the Korea Convergence Society
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v.10
no.11
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pp.283-288
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2019
This study investigated how consumer's uncertainty avoidance affect purchase deferral intention when purchasing high-involved products (i.e. laptops) in online shopping, and we looked at whether utilitarian/hedonic consumption value has a moderating effect in this relationship. Results showed the higher the uncertainty avoidance, the higher the deferral intention. Also, only the utilitarian consumption value had moderating effect in this relationship. This means that in an information overload situation like online shopping, consumers are more likely to delay their purchase intention when they have more uncertainty avoidance. Thus, to prevent this purchase delay, marketers should selectively present relative product information, strategically emphasize the importance of certain product attribution to reduce consumers' uncertainty of the product or highlight the utilitarian values of product attributes that are expected to have a significant impact on decision making.
With the rapid spreading of the internet that is based on the development of the information network system, the paradigms of "internet round" and "cyber" are given much weight in the notion of "market." Especially, the cyber shopping for the individuals is developing rapidly creating the new life style, and also in the domestic economy the cases of building and running the cyber shopping malls are increasing. The purpose of this study is to analyse the customers' shopping styles that can be shown when the customers purchase physical goods or digital goods at the B to C EC and find the way to activate the shopping malls by controlling the factors which influence the trade. The result of the study is as follows: First, to analyse the acting style of the customers at the B to C EC, it is searched whether there is any relationship between the purchasing goods, which are divided into physical goods and digital goods. There was a cross analysis between the first factor of the five factors of the purchase decision or delay at the B to C EC and the goods type. The result of the analysis is that the purchase decision factor is different according as what type of goods is purchased. On the other hand, the purchase delay factor has no relation with the goods type. Second, the fact that the cyber shopping activities are quite different according to sexuality, age, academic background, or occupation suggests that these factors are very important to the strategy for the market-specification of the B to C EC marketing construction. The result shown in this study is sure to give great help to figure out the improvement strategies and the market-specialization strategies to accelerate the B to C EC marketing. On the side of the strategies for the improvement of the goods services, more attention should be given to the functional side for the improvement of the reliability of the goods service such as capacity, technique, and quality. And the activities of the customers are so different according to the vital statistics that the way to cope with the changeability properly should be considered.
This study aimed to analyze the performance of Disney-collaborated fashion lines based on online consumer reviews. To do so, the researchers employed text mining and network analysis to identify key words in the reviews of these products. Blogs, internet cafes, and web documents provided by Naver, Daum, and YoutTube were selected as subjects for the analysis. The analysis period was limited to one year after for the 2019. Data collection and analysis were conducted using Python 3.7, Textom, and NodeXL. The research terms in question were as follows: 'Disney fashion collaboration' and 'Frozen fashion collaboration'. Preliminary survey results indicated that 'Elsa's dress' was the most frequently mentioned term and that the domestic fashion brand Eland Retail was the most active in selling Disney branded clothing through its own brand. The writers of reviews for Disney-collaborated fashion products were primarily mothers with daughters. Their decision to purchase these products was based upon the following factors; price, size, stability of decoration, shipping, laundry, and retailer. The motives for purchasing the product were the positive response of the consumer's child and the satisfaction of the parents due to the child's response. The problems to be solved included insufficient quantity of supply, delay in delivery, expensive price considering the number of times children's clothes are worn, poor glitter decoration, faded color, contamination from laundry, and undesirable smells immediately after the purchase.
This study focused on the idea that consumers who are dissatisfied with their body form tend to be more interested in weight control behavior. This research connects this relationship with consumers' risk perception on the internet and consequent decision hesitation behavior. Empirical results extracted three factors of weight control behavior: diet, physical treatment, and medication and exercise. Weight control behavior was different by gender but not by age. Consumers who were dissatisfied with their body form were likely to do exercise, but other types of dissatisfaction (weight dissatisfaction and height dissatisfaction) were not significantly related to weight control behavior. Weight dissatisfaction influenced perceived size risk significantly when shopping online. Diet, physical treatment, and medication had significant influence on perceived size risk when shopping online. Perceived size risk had significant influence on decision delay and offline switch behavior. This study took a convergence approach, which connects consumer characteristics with online shopping behavior.
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