• Title/Summary/Keyword: Online Customers

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The Effect of Deal-Proneness in the Searching Pattern on the Purchase Probability of Customer in Online Travel Services (소비자 키워드광고 탐색패턴에 나타난 촉진지향성이 온라인 여행상품 구매확률에 미치는 영향)

  • Kim, Hyun Gyo;Lee, Dong Il
    • Journal of the Korean Operations Research and Management Science Society
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    • v.39 no.1
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    • pp.29-48
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    • 2014
  • The recent keyword advertising does not reflect the individual customer searching pattern because it is focused on each keyword at the aggregate level. The purpose of this research is to observe processes of customer searching patterns. To be specific, individual deal-proneness is mainly concerned. This study incorporates location as a control variable. This paper examines the relationship between customers' searching patterns and probability of purchase. A customer searching session, which is the collection of sequence of keyword queries, is utilized as the unit of analysis. The degree of deal-proneness is measured using customer behavior which is revealed by customer searching keywords in the session. Deal-proneness measuring function calculates the discount of deal prone keyword leverage in accordance with customer searching order. Location searching specificity function is also calculated by the same logic. The analyzed data is narrowed down to the customer query session which has more than two keyword queries. The number of the data is 218,305 by session, which is derived from Internet advertising agency's (COMAS) advertisement managing data and the travel business advertisement revenue data from advertiser's. As a research result, there are three types of the deal-prone customer. At first, there is an unconditional active deal-proneness customer. It is the customer who has lower deal-proneness which means that he/she utilizes deal-prone keywords in the last phase. He/she starts searching a keyword like general ones and then finally purchased appropriate products by utilizing deal-prone keywords in the last time. Those two types of customers have the similar rates of purchase. However, the last type of the customer has middle deal-proneness; who utilizes deal-prone keywords in the middle of the process. This type of a customer closely gets into the information by employing deal-prone keywords but he/she could not find out appropriate alternative then would modify other keywords to look for other alternatives. That is the reason why the purchase probability in this case would be decreased Also, this research confirmed that there is a loyalty effect using location searching specificity. The customer who has higher trip loyalty for specificity location responds to selected promotion rather than general promotion. So, this customer has a lower probability to purchase.

A Study on Business Strategies and Success Factors of Social Network Service and Enterprises: Focusing on Representative SNS of Korea, China, and USA (소셜 네트워크 서비스 기업의 비즈니스 전략과 성공요인 분석에 관한 연구 : 한국, 중국, 미국의 대표적인 SNS을 중심으로)

  • Lee, Cheol-Min;Kim, Chang-Su;Park, Kyung-Won;Ahn, Hyun-Sook
    • Journal of Digital Convergence
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    • v.12 no.7
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    • pp.177-187
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    • 2014
  • In this paper, representative social network services(SNS) of Korea, China, and America such as Cyworld, Renren and Facebook were analyzed in regards to their business strategies and successful factors. From the analysis results, it was found that their common business strategies are strengthening a sense of belonging by providing differentiated customer services and by increasing customer satisfaction and this kind of strategies were naturally connected to the corporate marketing. So, Maintaining their own differentiated services, SNS companies should make a constant efforts to meet customers' needs on the base of success factors. Companies which will carry out marketing with SNS should also improve their images through communication with customers, utilizing services provided by SNS companies which match well with companies using SNS as a means of marketing. As various extensive researches are being conducted on SNS which enabled online networking, such findings will be usefully referred for similar researches and will provide theoretical basis and practical guidelines for future researches.

A Study on Relationship between the Relationship Benefit, Customer Satisfaction and Loyalty of Internet Shopping Malls -Focused on Comparison between Specialized Shopping Mall and General Shopping Mall- Kim (인터넷 쇼핑몰의 관계혜택과 고객만족, 애호도와의 관계에 관한 연구 -전문쇼핑몰과 종합쇼핑몰의 비교를 중심으로-)

  • Kim, Yu-Kyung
    • Management & Information Systems Review
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    • v.32 no.4
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    • pp.155-187
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    • 2013
  • This study is the one trying to examine the relationship between relationship benefit, customer satisfaction and customer loyalty perceived by the internet shopping mall customers. It will try to extend and apply the concept of relationship benefit mainly dealt with in the existing study to the online environment The specific purposes of study are presented as follows. First, this study will present five dimensions of relationship benefit levels as customization benefit, information benefit, psychological benefit, social benefit and economic benefit to clarify their relationship with customer satisfaction. Second, the relationship between customer satisfaction and loyalty will be examined. Third, a comparative analysis will be performed according to the type of internet shopping mall, in other words, between general shopping mall and specialized shopping mall. As a result, the remaining relationship benefit dimensions (customization benefit, psychological benefit, social benefit and economic benefit) except for information benefit among the five types of relationship benefit levels perceived by internet shopping mall customers have been shown as having significant positive effect on customer satisfaction. Finally, as a result of verifying the result on the difference between specialized shopping mall and general shopping mall, the difference between each group was shown as not being statistically significant. However, as a result of applying the study model by classifying into specialized shopping mall and general shopping mall, only the information benefit was shown as not having significant positive effect which is identical to the overall result.

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Impacts of Relative Advantage of Fast Food Restaurant's O2O Service and Consumer Involvement on Consumer Engagement, and Store Loyalty: Focused on MZ Generationsin Untact Consumption Era

  • LEE, Young-Eun;LEE, Yong-Ki
    • The Korean Journal of Franchise Management
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    • v.11 no.2
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    • pp.41-51
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    • 2020
  • Purpose: Fast food franchise companies are trying a variety of innovative services to increase their competitiveness in response to changes in population composition in the fast food market and rapid changes in consumption trends due to technological development. From this point of view, franchise companies that have focused on offline store operations are providing O2O (offline to online) service as a core service for customer convenience. This new attempt is a strategy to increase loyalty by applying an interaction method based on understanding the characteristics of new generation consumers. However, existing studies are focused on the relationship between O2O service and acceptance, so very little is known about how O2O service affects customer loyalty. Therefore, this study examines the impacts of customer involvement and relative advantages of fast food O2O service on customer brand engagement (cognitive and affective engagement) and store loyalty for MZ(Millennials - Z) generations. Research design, data, and methodology: In order to achieve the purposes of this research, several hypotheses were developed. The data were collected from 247 questionnaires in their 16-30s and were analyzed using SPSS 22.0 and SmartPLS 3.0 program. Measurement model analysis was carried out to assess convergent and discriminant validity. Also, common method bias was tested using the values of VIF (variance inflation factor). The hypotheses was tested using structural equation modeling. Result: First, involvement has a positive effect on cognitive and affective engagement. Second, relative advantages have has a positive effect on cognitive and affective engagement. Third, cognitive influences affective engagement. Finally, both cognitive and affective engagement affect store loyalty, but affective engagement has a stronger effect on store loyalty than cognitive engagement. Conclusions: In the process of consumer-brand interaction, it was confirmed that store loyalty was influenced by cognitive and affective engagement sequentially. However, the results show that affective engagement has a relatively stronger on store loyalty than cognitive engagement. Therefore, it is necessary to establish an O2O service strategy to maintain long-term loyal customers by inducing cognitive participation with high-involved consumer, as well as affective interaction, in order to obtain new customers and increase customer loyalty.

Do American Consumers Perceive Corporate Social Responsibility Actions and Exhibit Loyalty Intentions Differently according to the Reputation of Fast Food Restaurants? (패스트푸드 기업의 인지도가 기업의 사회적 책임 활동에 대한 미국 소비자의 인식과 구매충성도에 미치는 영향)

  • Lee, Kiwon;Lee, Youngmi
    • Korean Journal of Community Nutrition
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    • v.26 no.3
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    • pp.177-187
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    • 2021
  • Objectives: This study investigated the different perceptions of customers toward traditional and non-traditional fast-food restaurants regarding restaurant healthfulness, corporate reputation, and the impact of corporate reputation on loyalty intentions through corporate social responsibility (CSR) motive. Methods: An online survey was conducted on U.S. residents who were aware of fast food restaurants' CSR activities. Participants selected one fast food restaurant participating in CSR activities, coded as either traditional (n = 117) or non-traditional (n = 48), and answered questions about the selected restaurant's healthfulness, reputation, CSR motives, and loyalty intentions. The participants' perceptions of healthfulness and corporate reputation of the two types of fast-food restaurants were compared. A mediation path of corporate reputation - CSR motive - loyalty intention was analyzed. Results: Non-traditional fast-food restaurants (5.02 ± 1.26) were perceived to be more healthful than traditional ones (3.93 ± 1.72). The participants perceived that compared to traditional fast-food restaurants, non-traditional ones had a better overall corporate reputation (P = 0.037), were more concerned about their customers (P = 0.029), better workplaces (P = 0.007), more environmentally and socially responsible (P < 0.001), and offered higher quality products and services (P = 0.042). Significant positive correlations were shown between restaurant healthfulness and corporate reputation (P < 0.001 for all reputation items). The suggested mediation path was supported with 95% CIs excluding zero, implying that when fast-food restaurants had a better reputation overall, were customer oriented, good employers, strong companies with a good product and service quality, social and environmental responsibility, the participants were more likely to perceive their CSR activities to be sincere and were hence loyal to that restaurant. Conclusions: Overall, participants were more favorable towards non-traditional fast-food restaurants which had a healthier image and better reputation than traditional ones. Therefore, fast food restaurants need to consider offering healthy food and enhance their image, which would maximize the return on their investment in CSR.

Multimodal Sentiment Analysis Using Review Data and Product Information (리뷰 데이터와 제품 정보를 이용한 멀티모달 감성분석)

  • Hwang, Hohyun;Lee, Kyeongchan;Yu, Jinyi;Lee, Younghoon
    • The Journal of Society for e-Business Studies
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    • v.27 no.1
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    • pp.15-28
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    • 2022
  • Due to recent expansion of online market such as clothing, utilizing customer review has become a major marketing measure. User review has been used as a tool of analyzing sentiment of customers. Sentiment analysis can be largely classified with machine learning-based and lexicon-based method. Machine learning-based method is a learning classification model referring review and labels. As research of sentiment analysis has been developed, multi-modal models learned by images and video data in reviews has been studied. Characteristics of words in reviews are differentiated depending on products' and customers' categories. In this paper, sentiment is analyzed via considering review data and metadata of products and users. Gated Recurrent Unit (GRU), Long Short-Term Memory (LSTM), Self Attention-based Multi-head Attention models and Bidirectional Encoder Representation from Transformer (BERT) are used in this study. Same Multi-Layer Perceptron (MLP) model is used upon every products information. This paper suggests a multi-modal sentiment analysis model that simultaneously considers user reviews and product meta-information.

Effects of Restaurants' e-Wom Characteristics on Attitude and Visit Intention: Focused on Visit Intention Over Time (레스토랑의 e-Wom 특성이 시간 경과에 따른 방문의도를 중심으로 한 태도 및 방문의도에 미치는 영향)

  • KIM, Sung-Hwan;JEON, Young-Mi;LEE, Ji-Ah
    • The Korean Journal of Franchise Management
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    • v.13 no.2
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    • pp.17-31
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    • 2022
  • Purpose: With the development of the Internet, consumers can quickly access the electronic word-of-mouth. Consumers seek to reduce uncertainty by referring to the opinions of other consumers about products and services when making purchase decisions. In the food service industry, evaluating a restaurant before an actual visitation is difficult. Therefore, electronic word-of-mouth is important to interact with the customer in restaurants. as it can be used as an exchange of information in which consumers participate and interact with other customers. This study was conducted to verify how online word-of-mouth characteristics (Consensus, Vividness, Neutrality) on attitudes and visit intention from the perspective of social exchange theory. And it was performed to verify the structural relationship between short-term visit intention, mid-term visit and long-term visit intention. Research design, data, and methodology: A survey was conducted on customers who have visited restaurants. Of a total of 312 responses, 306 responses were used, excluding insincere responses and missing values for factors analysis. SPSS 25.0 and AMOS 25.0 were used for statistical analysis, and hypothesis testing was conducted after verifying the validity and reliability of the questionnaire items. Result: The result of the analysis showed that, consensus and neutrality have a positive effect on attitude but not much on vividness. In addition, consensus, vividness, and neutrality have no effect on the short-term visit intention. Finally, the short-term visit intention has a positive effect on mid-term visit intention, and mid-term visit intention has a positive effect on long-term visit intention. Conclusions: Based on the results, this study suggested that it is necessary to have practical implications for marketing and monitoring restaurant reviews in consideration of the characteristics of electronic word-of-mouth. When managing electronic-word-of-mouth, it is necessary to manage the consensus and neutrality is essential to provide sufficient information about the restaurant. The focus should not only be on vividness, such as photos and videos. In addition, restaurants should also provide a good experience for first-time visitors as the short-term visit intention positively affects mid-term and long-term visit intention.

The Effect of Support Quality of Chatbot Services on User Satisfaction, Loyalty and Continued Use Intention: Focusing on the Moderating Effect of Social Presence (챗봇서비스의 지원품질이 사용자 만족, 충성도 및 지속사용의도에 미치는 영향에 관한 연구 : 사회적 실재감의 조절효과를 중심으로)

  • Kim Jung Tae;Choi Do Young
    • Journal of Service Research and Studies
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    • v.12 no.4
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    • pp.106-124
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    • 2022
  • This study examined whether the social support (emotional support, information support) provided by customers through chatbot service affects the satisfaction of chatbot service felt by customers and whether the satisfaction of chatbot service affects loyalty and intention to continue using chatbot service. In order to confirm the moderating effect of social presence of chatbot service, a total of 300 effective data were obtained by conducting an online survey divided into a group that recognizes social presence highly and a group that recognizes low. As a result of the analysis, the path from emotional support to satisfaction of chatbot service was supported in the group that recognized social presence highly, and the path from emotional support to satisfaction of chatbot service was not supported in the group that recognized social presence low, and the difference was confirmed in the hypothesis path coefficient. This is interpreted as the social presence affecting human emotional response.This study can provide implications for the function of social presence of chatbot service in that it applied information support and emotional support, which are two factors of social support, to chatbot service, and demonstrated the relationship between satisfaction, loyalty, and continuous use according to the degree of social presence of chatbot users.

The Effect of Perceived Customer Value on Customer Satisfaction with Airline Services Using the BERTopic Model (BERTopic 모델을 이용한 항공사 서비스에서 지각된 고객가치가 고객 만족도에 미치는 영향 분석)

  • Euiju Jeong;Byunghyun Lee;Qinglong Li;Jaekyeong Kim
    • Knowledge Management Research
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    • v.24 no.3
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    • pp.95-125
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    • 2023
  • As the aviation industry has rapidly been grown, there are more factors for customers to consider when choosing an airline. In response, airlines are trying to increase customer value by providing high-quality services and differentiated experiential value. While early customer value research centered on utilitarian value, which is the trade-off between cost and benefit in terms of utility for products and services, the importance of experiential value has recently been emphasized. However, experiential value needs to be studied in a specific context that fully represents customer preferences because what constitutes customer value changes depending on the product or service context. In addition, customer value has an important influence on customers' decision-making, so it is necessary for airlines to accurately understand what constitutes customer value. In this study, we collected customer reviews and ratings from Skytrax, a website specializing in airlines, and utilized the BERTopic technique to derive factors of customer value. The results revealed nine factors that constitute customer value in airlines, and six of them are related to customer satisfaction. This study proposes a new methodology that enables a granular understanding of customer value and provides airlines with specific directions for improving service quality.

A Study of the Beauty Commerce Customer Segment Classification and Application based on Machine Learning: Focusing on Untact Service (머신러닝 기반의 뷰티 커머스 고객 세그먼트 분류 및 활용 방안: 언택트 서비스 중심으로)

  • Sang-Hyeak Yoon;Yoon-Jin Choi;So-Hyun Lee;Hee-Woong Kim
    • Information Systems Review
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    • v.22 no.4
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    • pp.75-92
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    • 2020
  • As population and generation structures change, more and more customers tend to avoid facing relation due to the development of information technology and spread of smart phones. This phenomenon consists with efficiency and immediacy, which are the consumption patterns of modern customers who are used to information technology, so offline network-oriented distribution companies actively try to switch their sales and services to untact patterns. Recently, untact services are boosted in various fields, but beauty products are not easy to be recommended through untact services due to many options depending on skin types and conditions. There have been many studies on recommendations and development of recommendation systems in the online beauty field, but most of them are the ones that develop recommendation algorithm using survey or social data. In other words, there were not enough studies that classify segments based on user information such as skin types and product preference. Therefore, this study classifies customer segments using machine learning technique K-prototypesalgorithm based on customer information and search log data of mobile application, which is one of untact services in the beauty field, based on which, untact marketing strategy is suggested. This study expands the scope of the previous literature by classifying customer segments using the machine learning technique. This study is practically meaningful in that it classifies customer segments by reflecting new consumption trend of untact service, and based on this, it suggests a specific plan that can be used in untact services of the beauty field.