With the advances in information technologies and the wide acceptance of IT outsourcing practices, subscription-based information & telecommunications services(ITS) become more available. Convergence and intensified industry competition have made it an imperative for the ITS providers to keep their current customers and acquire new customers at the same time. In this study, we developed a framework for effective customer management based on the factors influencing the post-purchase customer choice: stay with the present provider or switch to another one. Specifically, we classified the factors into four categories: Holding factors, Defect factors, Inducement factors, and Hurdle factors depending on the characteristics of the influence and direction of the influence. Based on the classification, we developed a post-purchase customer choice model for the subscription-based ITS providers. Then, we illustrated a possible application of the model in the context of the broadband Internet access service. The model could be used to increase the competitive advantage of service providers through the effective customer management in the subscription-based ITS market.
Until now, research on consumers' purchasing behavior has primarily focused on psychological aspects or depended on consumer surveys. However, there may be a gap between consumers' self-reported perceptions and their observable actions. In response, this study aimed to investigate consumer purchasing behavior utilizing a big data approach. To this end, this study investigated the purchasing patterns of fashion items, both online and in retail stores, from a data-driven perspective. We also investigated whether individual consumers switched between online websites and retail establishments for making purchases. Data on 516,474 purchases were obtained from fashion companies. We used association rule analysis and K-means clustering to identify purchase patterns that were influenced by customer loyalty. Furthermore, sequential pattern analysis was applied to investigate the usage patterns of online and offline channels by consumers. The results showed that high-loyalty consumers mainly purchased infrequently bought items in the brand line, as well as high-priced items, and that these purchase patterns were similar both online and in stores. In contrast, the low-loyalty group showed different purchasing behaviors for online versus in-store purchases. In physical environments, the low-loyalty consumers tended to purchase less popular or more expensive items from the brand line, whereas in online environments, their purchases centered around items with relatively high sales volumes. Finally, we found that both high and low loyalty groups exclusively used a single preferred channel, either online or in-store. The findings help companies better understand consumer purchase patterns and build future marketing strategies around items with high brand centrality.
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.
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.
This paper empirically analyzes determinants of DTV (Digital Television) adoption in household survey data with IT-related household demand characteristics. To this purpose, we conducted a survey for the adoption of DTV to 1,000 households nationwide. In the questionnaire, various questions asking socio-economics characteristics such as age, education, income were included. Also, status of adoption and usage of IT services such as paid broadcasting, internet, and DVD were asked. To analyze the determinants of intention of purchasing, decision of purchasing, and the timing of purchasing DTV, we adopted the ordered logit, binary logit and multinomial legit models. When there is an order among groups, ordered logit was employed and when there is no orders among groups, multinomial logit was emplyed for the estimation. It is found that when conditions of other explanatory variable are constant, the more educated household heads are, the more probable they become early adopters of DTV. It is also found that other conditions being constant, the income level of households and IT-related household demand characteristics are very important factors affecting DTV adoption. Since the likelihood of purchasing DTV is much higher for those who know the government policy of analog broadcasting termination schedule than others who do not know, dissemination of the Korean government's digital broadcasting policy will affect significantly the adoption of DTV. And policy with various incentives ought to be employed to accelerate DTV adoption, because households with the older TV sets are more likely to purchase DTV. It is suggested that the Korean government should develop policy to connect both DBS (Direct Broadcast Satellite) and DTV since DBS subscribers are more likely to be an early adopter than non-subscribers.
본 논문에서는 오프라인의 장점인 고객방문, 실물전시 및 체험 구매를 위한 상품콘텐츠를 가상공간에 디지털화로 제작하고 실시간 제공함으로써 고객들의 구매욕구와 구매패턴의 변화수용과 서비스 만족도를 향상시키는 O2O수주시스템을 제안한다. 이 시스템은 오프라인 패턴에 익숙한 카탈로그 책자중심의 사용자경험을 디지털로 전환하여 온라인의 거부감과 불편함을 해소하였고 편리성을 높이기 위해 다양한 접근 디바이스환경 제공과 오프라인에서 할 수 없는 동영상에 의한 사용법, 제품 도면 등을 e-카탈로그로 제공하여 성공적인 매출확대를 창출하도록 설계, 구현하였다.
This study investigated service quality perception, purchase satisfaction, recommendation intention, and switching intention of fashion consumers according to the types of internet shopping malls. The survey was conducted from February 7 to 21 in 2011, and 294 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, ANOVA, and regression analysis. The result of the service quality perception of internet fashion consumers was classified by site characteristics, reliability, enjoyment, product diversity, responsibility, security, and order convenience. There were significant differences in the site characteristics, reliability, enjoyment, responsibility, and security of service quality perception by the types of internet shopping malls. In addition, the factors of service quality perception that could affect the purchase satisfaction of fashion consumers showed differently according to the types of internet shopping malls. The purchase satisfaction of fashion consumers influenced the recommendation intention in all types of internet shopping malls and the purchase satisfaction influenced the switching intention in fashion specialized internet shopping malls.
Social Network Services (SNS) have become a vital means of shopping, significantly influencing consumers' purchases of fashion products. The aim of this study was to identify bandwagon consumption among fashion consumers and to analyze the effects of bandwagon consumption on negative emotions, purchase discontinuation, and switching intention. A survey questionnaire was developed, and data were obtained from 285 female consumers in Korea aged in their 20s and 30s who had experienced guilt, regret, or disappointment after purchasing fashion products using SNS during the previous six months. The survey results indicated four different types of band- wagon consumption: intentional, impulsive, unintentional, and planned. The presence of negative emotions such as guilt, disappointment, and regret were affected by different types of bandwagon consumption. Intentional bandwagon consumption only affected guilt, while unintentional bandwagon consumption affected both guilt and disappointment. Impulsive bandwagon consumption affected guilt and regret; however, planned bandwagon consumption only affected regret. Furthermore, negative emotions affected purchase discontinuation and switching intention. Planned bandwagon con- sumption had an effect on both purchase discontinuation and switching intention, while both impulsive and unintentional bandwagon consumption influenced switching intention only. Intentional bandwagon consumption had no effect on either purchase discontinuation or switching intention. The results of this study indicate that SNS consumers' bandwagon consumption causes different negative emotions, purchase discontinuation, and switching intention.
Fashion is a field in which personal taste acts as the first criterion for purchase, and it is being refined as an important strategy to increase purchase conversion on mobile. Although related studies have been conducted, there are insufficient studies to confirm this according to the detailed purchasing journey of consumers. The purpose of this study is to examine whether the evaluation of user experience factors of personalized recommendation service differs by purchase journey, and to reveal whether it affects purchase intention and satisfaction. Variety, reliability, and convenience showed a significant difference at the level of 0.001% and usefulness at the level of 0.05%. Satisfaction levels were different for each stage, such as novelty and usefulness in the cognitive and interest stage, and high reliability and diversity in the search stage. It has theoretical significance in that it enhances the understanding of the purchase journey by revealing that there is a difference in user evaluation of the personalized recommendation service, and it has practical significance in that it suggests the direction of improvement of the personalized recommendation service strategy. If research on effectiveness is conducted in the future, it will be able to contribute to an advanced strategy.
As the market for coffee chains becomes fierce, it is important for coffee chains to establish an enduring relationship with customers and encourage them to revisit their stores. Thus, it becomes important to understand consumers' repurchase decision-making mechanisms in the context of coffee chains. Customer satisfaction, perceived switching costs, and regret were considered as the main factors of customers' repurchase intentions. Especially, the effect of regret experience of coffee chains on consumers' repurchase decision was examined. In addition, coffee quality, physical environment quality, service encounters performance, and brand trust were considered as attributes of coffee shop selection, and their effects on customer satisfaction and perceived switching cost were investigated. The results of the study showed that customer satisfaction and perceived switching costs had a positive effect on repurchase intention, while regret had a negative effect on repurchase intention. Coffee quality and physical environmental quality had no significant effect on customer satisfaction and perceived conversion cost. Service encounter performance had a significant impact on perceived switching costs alone. Brand trust had a significant impact on both customer satisfaction and perceived switching cost.
shows the research model of this study. To accomplish above-mentioned research objectives, the following ten hypotheses were proposed and verified : 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.
The Effects of Perceived Risks on Purchase Decision Behavior among Internet Fashion Consumers
(인터넷 패션소비자의 위험지각이 구매결정행동에 미치는 영향)
Effects of IT-related Household Demand Characteristics on DTV Adoption: An Empirical Analysis Using Micro Data
(가구의 정보통신수용도가 DTV 구매에 미치는 영향 micro data를 이용한 실증연구)
O2O Order System Design and Implementation
(O2O 수주시스템 설계 및 구현)
The Service Quality Perception, Purchase Satisfaction, Recommendation Intention, and Switching Intention of Fashion Consumers according to the Types of Internet Shopping Malls
(인터넷 쇼핑몰 유형별 패션 소비자의 서비스 품질 지각, 구매만족도, 추천의도 및 전환의도에 관한 연구)
The effects of bandwagon consumption in SNS on negative emotion, purchase discontinuation, and switching intention
(SNS에서의 모방소비가 부정적 감정과 구매단절 및 전환의도에 미치는 영향)
Effect on user evaluation, purchase intention, and satisfaction of personalized recommendation services by purchase journey in mobile fashion commerce
(모바일 패션커머스의 구매여정별 개인화 추천서비스 사용자 평가와 구매의도 및 만족도에 미치는 영향)
Effects of Customer Satisfaction, Perceived Switching Costs and Regret on Repurchasing Intention: The Case of Coffee Chains
(고객 만족, 인지된 전환 비용, 후회가 재구매 의도에 미치는 영향: 커피 전문점 사례를 바탕으로)
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