• Title/Summary/Keyword: 온라인 소비자 행동

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A Study on Site Repeat Visit and Purchase Decision-Making of On-line Consumer using Two-Stage Mixture Regression Analysis - Focus on Internet Shopping Mall - (2단계 Mixture Model을 이용한 온라인 소비 자의 방문행동특성이 사이트 재방문과 구매에 미치는 영향에 관한 연구 - 온라인 쇼핑몰을 중심으로 -)

  • Lee, Young-Seung
    • Journal of Global Scholars of Marketing Science
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    • v.13
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    • pp.135-158
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    • 2004
  • On-line consumers have some visit behavior characteristics when they visit internet-shopping mall between visit-stage and purchase-stage. Therefore, information of on-line consumers have influenced on internet-shopping mall's profitabilities at site manager's perspectives. For examples, Are any on-line consumers continuous visiting under any situations? Or are any on-line consumers purchased on any specific internet-shopping mall? Expecially in this paper, researcher tried to understand visit behavioral characteristics of on-line consumers using two-stage mixture regression analysis. Throughout this process, it could be proposed method, which could be reinforced competitiveness of internet-shopping mall by segmental decision-making method. Additionally, it is expected that visit behavioral characteristics' information could be supplied strategic implications between visit-stage and purchase-stage Throughout empirical test it could be proved two-stage decision-making process, which decision-making process of on-line consumers would be processed visit-stage and purchase-stage. In this study, researcher proposed suitable response strategy after understanding visiting behavioral characteristics of on-line consumers. This paper has some academical contributions, which visit behavioral characteristics of on-line consumers could be grasped the meaning by site stickiness and navigation pattern.

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Consumers Vigorous Complaining Behaviors in the Internet Web Site Explained By Integrating Theory of Planned Behavior and Anger (인터넷 웹사이트에서 소비자의 적극적 불평행동에 관한 연구: 감정이론과 계획행동이론을 중심으로)

  • Cho, Seung-Ho;Jo, Jung-Yul
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.220-229
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    • 2011
  • The present research integrates the core aspects of anger with the theory of planned behavior to investigate factors influencing online activism in a Web site. This study conducted online survey, and the sample was members who joined the V4400 Sobi-ja-heem Web site. The Web site Sobi-ja-heem was initiated by a consumer who was irritated at the cell phone manufacturer Samsung Inc. because its model, "Anycall" had major product defects such as the malfunction of the camcorder, poor tone quality, fuzziness of the screen, and broken text messages. The findings suggests that adding anger in Theory of Planned Behavior (TPB) enhances the explanatory power of the theory in predicting an intention to participate in activities to correct the issue, which indicates the possibility of combining emotion and the TPB in the prediction of online activism.

The Effects of Webpage Background and Store Brand on Consumers' Responses in Online Shopping (온라인 쇼핑에서 웹페이지 배경과 브랜드가 소비자 반응에 미치는 영향)

  • Park, Min-Jung
    • Korean Journal of Human Ecology
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    • v.18 no.6
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    • pp.1289-1302
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    • 2009
  • 본 연구의 목적은 웹페이지 배경과 브랜드가 소비자의 감정과 점포이미지에 미치는 영향을 조사하는데 있으며, 또한 소비자의 감정과 점포이미지가 소비자 행동의도에 미치는 영향을 조사하는데 있다. 본 연구는 가상의 웹싸이트를 활용하여 2 (웹페이지 배경: 유 vs. 무) $\times$ 2 (브랜드: 인지도 고 vs. 저) 집단간 실험설계를 하였다. 382명의 응답이 가설검증을 위한 연구결과 분석에 사용되었다. 본 연구의 결과를 살펴보면, 웹페이지 배경이 소비자의 긍정적 감정과 점포이미지에 유의미한 영향을 미치는 것으로 나타났으며, 브랜드의 경우 인지도가 점포이미지에 유의미한 영향을 미치는 것으로 나타났다. 또한 구조방정식 모형의 유의미한 결과를 살펴보면, 긍정적 감정이 점포이미지에 긍정적 영향을 미치는 것으로 나타났으며 점포이미지가 소비자 행동에 긍정적 영향을 미치는 것으로 나타났다. 본 연구는 이론적 측면에서 온라인 환경에 대한 연구분야에 공헌하였으며, 마케팅적 시사점을 제시하였다.

A Study on the Impact of Chinese Online Customer Reviews on Consumer Purchase Behavior in Online Education Platforms

  • Shuang Guo;Yumi Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.7
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    • pp.139-148
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    • 2024
  • In the post-pandemic era, the demand for online education platforms has surged, leading to increased consumer reliance on online reviews for decision-making. This study investigates the impact of Chinese online customer reviews on consumer purchase behavior in online education. By examining the role of trust, review sentiment, and the quantity and timeliness of reviews, the research aims to understand how these factors influence consumer decisions. By using regression model, findings reveal that negative reviews, timely feedback, and a higher volume of reviews positively affect consumer purchase decisions, while course pricing demonstrates an inverse relationship. Furthermore, cognitive and affective trust mediate the relationship between reviews and purchase behavior, highlighting a reverse U-shaped effect on consumer decision inclination. These insights provide valuable implications for online education providers, emphasizing the need to manage and leverage online reviews to foster consumer trust and improve sales performance.

How do Physical Stores Survive in the Market: An Investigation into Consumer Switching Behavior from the Online to the Offline Channel (물리적 매장이 시장에서 살아남는 방법: 소비자의 온라인 채널에서 오프라인 채널로의 전환행동에 관한 연구)

  • Duan, Xiaowei;Zong, Lu
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.224-239
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    • 2022
  • Despite an impressive growth of online sales, the bricks-and-mortar bandwagon still remain high-profile in the realm of consumer channel switching behavior. Different from the existing research exploring the consumer switching behavior from the offline to the online retailer, this study is an effort to investigate why and when do consumers switch from the online to the offline channel by applying the push-pull-mooring framework. Thus, structural equation modeling and SPSS were used to test the established hypotheses. The results, as expected, show that both push factors (i.e., perceived risk and dissatisfaction) and pull factors (alternative attractiveness and perceived ownership) are positively related to a consumer's intention to switch from the online to the offline channel. Moreover, all of expected interactions between push factors and mooring factors (i.e., switching costs, variety seeking, and subjective norms), and between pull factors and mooring factors are supported, except for the interactions between push factors and switching costs as well as between pull factors and subjective norms. Finally, implications and limitations are discussed.

The Online Game World as a Product and the Behavioral Characteristics of Online Game Consumers as Role Player (상품으로서의 온라인 게임 세계와 역할 놀이자로서의 온라인 게임 소비자의 행동특성)

  • 황상민;김지연;임정화
    • Science of Emotion and Sensibility
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    • v.7 no.3
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    • pp.37-50
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    • 2004
  • This study attempted to explore how online game is endowed new meaning and function and changed into totally different product in result by recognition and consuming behavior(game activity) of game users. The subjects of this study are famous Internet based online games called 'Lineage' and 'EverQuest'. These two online games are physically similar games. Both are MMORPG and community-based games. While Lineage became a cyber world as a part of the real world, EverQuest was a game product. This study explored the recognition of garners about game world and different consuming behavior pattern(game activity pattern) in game world made by different recognition of online game. The result from exploring the differences in the recognition of game world showed Lineage garners regarded Lineage world as another living space or a part of real world they can explore and express psychological need and self-identity or self-image and live through diverse activities. But EverQuest garners regarded EverQuest as a product for experience of fantasy world. The result from comparing the game consuming behaviors showed that different recognition of game world made the differences in the game consuming behavior. The results of the present study supported that the recognition of consumers about digital images or content poducts like online game can be different by the value and experience of consumer, and the different recognition make the different consuming behavior of similar or same products. The results supported that the meaning and value of digital images or digital content are endowed by consumers.

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The Effect of Failure of Online Food Delivery Service Recovery Strategies on Consumer Attitude and Behavioral Intention: Focusing on Justice Theory (온라인 음식 배달 서비스 회복 전략의 실패가 소비자 태도 및 행동 의도에 미치는 영향: 공정성 이론(Justice Theory)을 중심으로)

  • Jungkun Park;Sangwoo Lee;Hyowon Hyun;Jihwan Yum
    • Journal of Service Research and Studies
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    • v.13 no.2
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    • pp.161-180
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    • 2023
  • This study empirically analyzed the effect of perceived injustice on service recovery measures proposed by online food delivery service (OFDS) companies on consumer disappointment. This study adopted interaction justice, information justice, procedural justice, and distributive justice as sub-variables of justice perception based on the justice theory. In addition, the differences by generation (MZ generation and other generations) were examined in the relationship between negative word-of-mouth behavior and switching intentions due to service recovery failure. An online survey was conducted targeting 250 adult consumers in the U.S for the empirical analysis of this research model. The results of the data analysis demonstrated that negative perceptions about the procedural justice and distributive justice among the service recovery strategies had a positive effect upon the consumer's disappointment. Furthermore, it was confirmed that the consumer's disappointment due to the perceived injustice of the service recovery strategy had a positive effect on the consumer's negative word-of-mouth behavior and switching intentions. The verification results of the moderation effect in the relationship between negative word-of-mouth behavior and switching intention, it was found that the younger the age(MZ generation), the higher the possibility of causing dysfunctional behavior. This study expands the scope of related research by presenting a new perspective on the justice perception in the service recovery process by verifying dysfunctional behavior of consumers caused due to the failure of the service recovery strategy. It is believed that the results of this study will be used as basic data for the establishment of practical strategies for OFDS companies to prevent double defection of their customers.

Analysis of shopping website visit types and shopping pattern (쇼핑 웹사이트 탐색 유형과 방문 패턴 분석)

  • Choi, Kyungbin;Nam, Kihwan
    • Journal of Intelligence and Information Systems
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    • v.25 no.1
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    • pp.85-107
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    • 2019
  • Online consumers browse products belonging to a particular product line or brand for purchase, or simply leave a wide range of navigation without making purchase. The research on the behavior and purchase of online consumers has been steadily progressed, and related services and applications based on behavior data of consumers have been developed in practice. In recent years, customization strategies and recommendation systems of consumers have been utilized due to the development of big data technology, and attempts are being made to optimize users' shopping experience. However, even in such an attempt, it is very unlikely that online consumers will actually be able to visit the website and switch to the purchase stage. This is because online consumers do not just visit the website to purchase products but use and browse the websites differently according to their shopping motives and purposes. Therefore, it is important to analyze various types of visits as well as visits to purchase, which is important for understanding the behaviors of online consumers. In this study, we explored the clustering analysis of session based on click stream data of e-commerce company in order to explain diversity and complexity of search behavior of online consumers and typified search behavior. For the analysis, we converted data points of more than 8 million pages units into visit units' sessions, resulting in a total of over 500,000 website visit sessions. For each visit session, 12 characteristics such as page view, duration, search diversity, and page type concentration were extracted for clustering analysis. Considering the size of the data set, we performed the analysis using the Mini-Batch K-means algorithm, which has advantages in terms of learning speed and efficiency while maintaining the clustering performance similar to that of the clustering algorithm K-means. The most optimized number of clusters was derived from four, and the differences in session unit characteristics and purchasing rates were identified for each cluster. The online consumer visits the website several times and learns about the product and decides the purchase. In order to analyze the purchasing process over several visits of the online consumer, we constructed the visiting sequence data of the consumer based on the navigation patterns in the web site derived clustering analysis. The visit sequence data includes a series of visiting sequences until one purchase is made, and the items constituting one sequence become cluster labels derived from the foregoing. We have separately established a sequence data for consumers who have made purchases and data on visits for consumers who have only explored products without making purchases during the same period of time. And then sequential pattern mining was applied to extract frequent patterns from each sequence data. The minimum support is set to 10%, and frequent patterns consist of a sequence of cluster labels. While there are common derived patterns in both sequence data, there are also frequent patterns derived only from one side of sequence data. We found that the consumers who made purchases through the comparative analysis of the extracted frequent patterns showed the visiting pattern to decide to purchase the product repeatedly while searching for the specific product. The implication of this study is that we analyze the search type of online consumers by using large - scale click stream data and analyze the patterns of them to explain the behavior of purchasing process with data-driven point. Most studies that typology of online consumers have focused on the characteristics of the type and what factors are key in distinguishing that type. In this study, we carried out an analysis to type the behavior of online consumers, and further analyzed what order the types could be organized into one another and become a series of search patterns. In addition, online retailers will be able to try to improve their purchasing conversion through marketing strategies and recommendations for various types of visit and will be able to evaluate the effect of the strategy through changes in consumers' visit patterns.

식자재 이커머스 플랫폼 비지니스의 서비스품질 영향요인이 재구매의도에 미치는 영향에 관한 연구: 충성도의 매개효과를 고려하여

  • 이미경;하규수
    • 한국벤처창업학회:학술대회논문집
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    • 2023.04a
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    • pp.7-10
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    • 2023
  • IT기술의 발전과 스마트기기의 대중화로 인한 정보통신기술의 눈부신 발전으로 온라인 플랫폼을 통한 식품구매 비중이 급격히 증가하여 온·오프라인의 경계를 없어지고 있다. 더군다나 COVID-19 팬데믹은 반조리식품, 밀키트 등 홈쿡(Home-cook) 온라인시장을 급격히 확산시키며 소비자 구매추세를 오프라인에서 온라인으로 완전히 바꿔놓는 전환점이 되었다. 이런 트랜드를 반영하듯 다양한 온라인 식자재 이커머스 플랫폼의 출현하면서 브랜드마다 각각의 차별점을 내세우고 있으나 경쟁은 치열해지고 차별화는 더욱 어려운 게 현실이다. 이는 기업이 소비자에게 일방향으로 정보 또는 상품 및 서비스를 제공 하는 수직적 관계가 아닌, 수평적 쌍방향 관계로의 발전으로 이어져 브랜드가 가지고 있는 가치에 대해 보다 정직하게 보여주어야 소비자의 신뢰를 얻을 수 있게 되었다(Kotler, 2017). 또한, 과거에 소비자들의 만족도가 높았던 서비스도 현재 환경에서는 소비자의 니즈를 충족시키지 못하는 경우가 증가하고 있다(조윤오, 2018). 이는 서비스에 대한 소비자의 기대와 니즈가 지속적으로 변화하고 있다는 것을 의미하며, 이에 따라 기업은 소비자들의 새로운 요구를 만족시키기 위하여 다양한 서비스를 개발 및 제공하는 것이 중요하다고 사료된다(김광재 등, 2011). 이미 높은 인지도를 가진 플랫폼일지라도 지속가능한 우위를 선점하기 어려운 상황에서 온라인 플랫폼에 대한 소비자의 긍정적인 태도와 재구매를 유도하기 위해 제품 본질 뿐 아니라 서비스 차별화를 꾀하고 있고 차별화된 포지션을 차지하기 위해 온라인 플랫폼에 대한 소비자 인식과 서비스 품질 요인을 측정하여 고객이 중시하는 요인에 집중하는 것이 필요하다. 이에 본 연구는 온라인 플랫폼을 통해 식자재를 구매하는 소비자의 꾸준한 방문과 구매를 유인하기 위해 어떤 변수의 영향력을 높여야 소비자 재구매의도를 증가시킬 수 있는지 방법을 모색하고 온라인 플랫폼 기업 및 스타트업의 경영전략 마련에 목적이 있다. 이를 위해 식자재 구매 플랫폼 품질속성, 서비스품질 정도,, 충성도의 전반적인 영향관계를 파악하는 연구 과제를 설정하고, 식자재 이커머스 온라인 플랫폼 이용 전반에 대한 평가를 실시할 예정이다. 이러한 과정을 통해 도출된 결과는 식자재 이커머스 플랫폼 운영 전략을 세우는데 유용한 자료가 될 것이라 기대하며, 기존의 온라인 식품구매 플랫폼의 서비스품질 요인과 소비자 행동 간의 관계를 설명하는 것과는 다른 새로운 시사점을 제공할 수 있다는 측면에서 의미 있는 연구가 될 것이다. 또한, 다양한 산업에서의 플랫폼 비지니스 모델 적용을 위한 전략 수립을 하는 데에 필요한 기초자료를 마련하고자 한다.

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Consumer Sentiment and Behavioral Intentions Regarding Dark Patterns in Online Shopping: Qualitative Research Approach (온라인 쇼핑의 다크패턴에 대한 소비자 감정 및 행동 의도: 질적연구를 통합 접근)

  • Hae-Jin Kim;Jibok Chung
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.137-142
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    • 2024
  • User interface (UI) functions are distorted and appear as a dark pattern that intentionally deceives or entices users. Consumers who are unaware of dark patterns are constrained in their choices, resulting in unnecessary economic damage. In this study, we aimed to investigate consumers' various shopping emotions and behavioral intentions after recognizing dark patterns in online shopping malls through qualitative research methods. As a result of the study, the rate of perception differed slightly depending on the type of dark pattern, and it was found that it induced consumer emotions such as distrust of the company, user deception, and displeasure. It has been found that the behavior after recognizing the dark pattern shows passive behaviors such as vowing to prevent recurrence and warning acquaintances rather than actively protesting to the company and demanding compensation for damages.