• Title/Summary/Keyword: Online Commerce

Search Result 718, Processing Time 0.023 seconds

A Study on the Hospitals' e-Business Marketing Strategy for Service Trade (서비스 무역 증진을 위한 병원 국제 e-비즈니스 마케팅 전략에 관한 연구)

  • Kim, Kee-Hong
    • International Commerce and Information Review
    • /
    • v.15 no.4
    • /
    • pp.437-454
    • /
    • 2013
  • The information exchange becomes active in the online due to the rapid development of the Internet over the various fields. It is the tendency that it acquires not only information related to the on-line related to the off line depended on the traditional oral tradition but also information in the on-line. It is the competitive environment of the hospital more competitive over the time. The felt feeling for the hospital to the consumer plays the important role as to the assessment of hospital and choice. It is very the critical matter whether it approaches the consumer to any kind of way through the on-line information transfer, and the inappropriate feeling can be caused. That is, it can install whether any kind of point about one will be embossed through the e-business marketing, and the evaluation or useful feeling for choice can be caused in the hospital to the medical consumer in being the critical matter. This research compared and analyze the results expected with the Samsung Seoul Hospital, which was most active and uses the e-business marketing among the major hospital put through in the utilization by marketing view as the domestic Big 5 Severance hospital, and feature of SNS channels of Sungmo Hospital through the case analysis. How it tried to present each channels the individual, or, the strategic frame about the unificational it utilized and can maximize the marketing result and implication according to the marketing activity purpose and direction.

  • PDF

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)

  • kang, Sun-Young;Pan, Young-Hwan
    • Journal of the Korea Convergence Society
    • /
    • v.13 no.1
    • /
    • pp.63-70
    • /
    • 2022
  • 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.

A Hybrid Collaborative Filtering-based Product Recommender System using Search Keywords (검색 키워드를 활용한 하이브리드 협업필터링 기반 상품 추천 시스템)

  • Lee, Yunju;Won, Haram;Shim, Jaeseung;Ahn, Hyunchul
    • Journal of Intelligence and Information Systems
    • /
    • v.26 no.1
    • /
    • pp.151-166
    • /
    • 2020
  • A recommender system is a system that recommends products or services that best meet the preferences of each customer using statistical or machine learning techniques. Collaborative filtering (CF) is the most commonly used algorithm for implementing recommender systems. However, in most cases, it only uses purchase history or customer ratings, even though customers provide numerous other data that are available. E-commerce customers frequently use a search function to find the products in which they are interested among the vast array of products offered. Such search keyword data may be a very useful information source for modeling customer preferences. However, it is rarely used as a source of information for recommendation systems. In this paper, we propose a novel hybrid CF model based on the Doc2Vec algorithm using search keywords and purchase history data of online shopping mall customers. To validate the applicability of the proposed model, we empirically tested its performance using real-world online shopping mall data from Korea. As the number of recommended products increases, the recommendation performance of the proposed CF (or, hybrid CF based on the customer's search keywords) is improved. On the other hand, the performance of a conventional CF gradually decreased as the number of recommended products increased. As a result, we found that using search keyword data effectively represents customer preferences and might contribute to an improvement in conventional CF recommender systems.

Examining the Moderating Effect of Involvement in the Internet Purchase Decision Process (인터넷 구매결정과정에서의 관여도의 조절효과에 관한 연구)

  • Kwahk, Kee-Young;Ji, So-Young
    • Asia pacific journal of information systems
    • /
    • v.18 no.2
    • /
    • pp.15-40
    • /
    • 2008
  • With the explosive growth of the Internet, Internet shopping malls have become recognized as one of the major purchasing channels for consumers, as well as one of the competitive distribution channels for companies that allow them to contact with customers without intermediaries. It has motivated information systems(IS) researchers to examine the factors influencing consumer behavior and the purchase decision process in the context of Internet shopping malls. Despite the extensive research that has been conducted on the purchase decision process of consumers in online shopping malls, the results have demonstrated a need for further understanding of consumer behavior due to the unique features of virtual space and the characteristics of online consumers. Previous studies from marketing and consumer behavior domains have suggested that the concept of involvement plays an important role in explaining consumers' purchase behavior. Despite the critical role of involvement and the explosive growth of e-commerce, little research has examined the role of involvement in the Internet shopping mall context. With this motivation, this study has two research objectives. First, it introduces and tests an theoretical model capable of better explaining consumers' intention to purchase in the Internet shopping mall context. The proposed model extends and integrates existing models on purchase intention by incorporating purchase experience, innovativeness, and perceived self-control as the consumer factors, along with perceived risk, information provision, and perceived price as the Internet shopping mall factors. Second, this study examines how involvement differences may affect consumers' intention to purchase. For this purpose, two factors from involvement theory, involvement type and involvement level, are introduced into the research model as moderating variables. In order to test the proposed model, the overall approach employed was a field study using the structural equation model. We developed our data collection instrument by adopting existing validated questions wherever possible. All question items were measured with a seven-point, Likert-type scale, with anchors ranging from 'strongly disagree' to 'strongly agree.' Two IS researchers reviewed the instrument and checked its face validity. We collected empirical data for this study over a period of two weeks from subjects who had purchase experiences through Internet shopping malls. A total of 473 complete and valid responses were obtained. We carried out data analysis using a two-step methodology with AMOS 4.0. The first step in the data analysis was to establish the convergent and discriminant validity of the constructs. In the second step, we examined the structural model based on the cleansed measurement model. The empirical results partly support the proposed model and identify the moderating effect of involvement differences. Theoretical and practical implications of the study are discussed, along with its limitations.

Dynamic Analysis of CRM Strategy for Online Shopping-mall (온라인쇼핑몰의 CRM 전략에 관한 동태적 분석: System Dynamics 기법을 활용한 고객만족도 분석을 중심으로)

  • Kang, Jae-Won;Lim, Jay-Ick;Lee, Sang-Gun
    • Information Systems Review
    • /
    • v.9 no.3
    • /
    • pp.99-132
    • /
    • 2007
  • As customer management rises by important issue in electronic commerce, virtue study about CRM have proceeded much. However, because existent researches were positive researches of most statistical base, There are some limitation that does not show dynamic change with CRM flow by flowing of time, and can not forecast propriety and future result about CRM strategy. Therefore, in order to overcome existent limitation on these CRM study, this study designed dynamic model which draws factors that compose CRM strategy of on-line shopping mall, and do based on technique in system dynamics so that can analyze dynamic change between these factors. Concretely, atomized customer focuses in the on-line shopping mall and does based on Permission marketing theory, and applied CRM of different level to atomized customers and know change of customer satisfaction measurement and discomfort degree accordingly. According to the result of Simulation practice, situation that achieve CRM strategy of different level by atomize customer more increase the customer satisfaction than situation that is not so. Dynamic pattern that presented in this study is expected that can verify validity about CRM achievement strategy of different level at each CRM point of contact & how Internet enterprise including on-line shopping mall is establishing CRM strategy reasonably.

Strategic Approaches to Solid Ranking International Journals: KODISA Journals (국제저널 육성 방향과 전망: KODISA Journals를 중심으로)

  • Youn, Myoung-Kil;Kim, Dong-Ho;Lee, Jong-Ho;Hwang, Hee-Joong;Lee, Jung-Wan
    • Journal of Distribution Science
    • /
    • v.12 no.6
    • /
    • pp.5-13
    • /
    • 2014
  • Purpose - The purposes of this editorial review are twofold: firstly, to introduce the four flagship international journals of the Korea Distribution Science Association(KODISA): the Journal of Distribution Science(JDS), the Journal of Industrial Distribution & Business(JIDB), the East Asian Journal of Business Management(EAJBM), and the Journal of Asian Finance, Economics and Business(JAFEB), and secondly, to identify the direction of the KODISA journals and the roles and responsibilities of the editors of the KODISA journals. Research design, data, and methodology - To achieve the goals, firstly, this review paper addresses the current progress of the four KODISA journals: JDS, JIDB, EAJBM, and JAFEB. Secondly, this paper defines the aims and missions of the four KODISA journals. JDS publishes the articles of examining past, current, and emerging trends and concerns in the area of distribution science and economics, logistics and SCM, transportation, distribution channel management, distribution innovation and information technology, merchandising and procurement, distribution and marketing, consumer behavior, and manufacturing, wholesaling, and retailing. JDS publishes both quantitative and qualitative research as well as scholarly commentaries, case studies, book reviews and other types of reports relating to all aspects of distribution. JIDB publishes the articles of examining past, current, and emerging trends and concerns in the areas of industry and corporate behavior, industry policy making, industrial distribution and business, e-commerce, and service industry. EAJBM publishes empirical and theoretical research papers as well as scholarly commentaries, case studies, book reviews, and other types of reports relating to all aspects of East Asian business and economy. JAFEB publishes original research analysis and inquiry into the contemporary issues of finance, economics and business management in Asia, including Central Asia, East Asia, South Asia, Southeast Asia, and Middle East. The mission of JAFEB is to bring together the latest theoretical and empirical finance, economics and business management research in Asian markets. The audiences of the KODISA journals include higher education institutions, scholars, industry researchers and practitioners, scientists, economists, and policy makers throughout the world. The main mission of the KODISA journals is to provide an intellectual platform for international scholars, promote interdisciplinary studies in social sciences and economics, and become leading journals in the social science and economics category in the world. Thirdly, this paper addresses the current status of indexing in major databases of the KODISA journals, namely: Cabell's Directories, EBSCO, SCOPUS (Elsevier), and Social Sciences Citation Index® (SSCI, Thomson Reuters). Fourthly, this paper identifies the roles and responsibilities of the editors of the KODISA journals as the following: (1) Make sure that the journal be published in a timely manner and in international standards both in print and online versions. (2) Maintain the online homepage of the journal is always accessible to, and (3) Make sure that every article should go through a peer review process that meets international standards. Findings and conclusion - To accomplish the goals and missions of the KODISA journals, the editors of the KODISA journals must work together to publish high scholarly journals that meet international standards of journal publications.

Product Review Data and Sentiment Analytical Processing Modeling (상품 리뷰 데이터와 감성 분석 처리 모델링)

  • Yeon, Jong-Heum;Lee, Dong-Joo;Shim, Jun-Ho;Lee, Sang-Goo
    • The Journal of Society for e-Business Studies
    • /
    • v.16 no.4
    • /
    • pp.125-137
    • /
    • 2011
  • Product reviews in online shopping sites can serve as a useful guideline to buying decisions of customers. However, due to the massive amount of such reviews, it is almost impossible for users to read all the product reviews. For this reason, e-commerce sites provide users with useful reviews or statistics of ratings on products that are manually chosen or calculated. Opinion mining or sentiment analysis is a study on automating above process that involves firstly analyzing users' reviews on a product to tell if a review contains positive or negative feedback, and secondly, providing a summarized report of users' opinions. Previous researches focus on either providing polarity of a user's opinion or summarizing user's opinion on a feature of a product that result in relatively low usage of information that a user review contains. Actual user reviews contains not only mere assessment of a product, but also dissatisfaction and flaws of a product that a user experiences. There are increasing needs for effective analysis on such criteria to help users on their decision-making process. This paper proposes a model that stores various types of user reviews in a data warehouse, and analyzes integrated reviews dynamically. Also, we analyze reviews of an online application shopping site with the proposed model.

A Study on Food Shopping User Experience Design of Omni-channel (옴니채널에서 식품쇼핑의 사용자 경험 디자인 연구)

  • Kim, Ji-Hea;Kim, Seung-In
    • Journal of Digital Convergence
    • /
    • v.14 no.7
    • /
    • pp.403-409
    • /
    • 2016
  • This study is a food shopping experience of omni-channel. Food threats and healthy living concerns bring different channels in led to increase reasonable way such as various demand. Omni-channels should be premised on understanding customer behavior as well as empirical user types in which considerations including the value of experience and understanding consumer behavior. Online survey result showed that, (1)offline food shopping, major retail store with quality, buy fresh food directly 2~3 times a month (2)online food shopping, e-commerce site with costs, buy fruits & nuts 2~3 times a month. After in-depth interview with eight high quality participants, I analyzed needs for food shopping experience in regard to the four steps food purchasing journey then derived a persona with integral value 'health' and 'diet'. It is classified into two types. One is the primary persona, family and health oriented, considering household money 'saving', and other is secondary persona, work and personal oriented, looking forward to 'automatic supply'. The result of this study provided an insight that help us explore ways to resolve function and services in the context of a healthy and balanced diet for improving food shopping experience of omni-channel.

Effect of Multimodal cues on Tactile Mental Imagery and Attitude-Purchase Intention Towards the Product (다중 감각 단서가 촉각적 심상과 제품에 대한 태도-구매 의사에 미치는 영향)

  • Lee, Yea Jin;Han, Kwanghee
    • Science of Emotion and Sensibility
    • /
    • v.24 no.3
    • /
    • pp.41-60
    • /
    • 2021
  • The purpose of this research was to determine whether multimodal cues in an online shopping environment could enhance tactile consumer mental imagery, purchase intentions, and attitudes towards an apparel product. One limitation of online retail is that consumers are unable to physically touch the items. However, as tactile information plays an important role in consumer decisions especially for apparel products, this study investigated the effects of multimodal cues on overcoming the lack of tactile stimuli. In experiment 1, to explore the product, the participants were randomly assigned to four conditions; picture only, video without sound, video with corresponding sound, and video with discordant sound; after which tactile mental imagery vividness, ease of imagination, attitude, and purchase intentions were measured. It was found that the video with discordant sound had the lowest average scores of all dependent variables. A within-participants design was used in experiment 2, in which all participants explored the same product in the four conditions in a random order. They were told that they were visiting four different brands on a price comparison web site. After the same variables as in experiment 1, including the need for touch, were measured, the repeated measures ANCOVA results revealed that compared to the other conditions, the video with the corresponding sound significantly enhanced tactile mental imagery vividness, attitude, and purchase intentions. However, the discordant condition had significantly lower attitudes and purchase intentions. The dual mediation analysis also revealed that the multimodal cue conditions significantly predicted attitudes and purchase intentions by sequentially mediating the imagery vividness and ease of imagination. In sum, vivid tactile mental imagery triggered using audio-visual stimuli could have a positive effect on consumer decision making by making it easier to imagine a situation where consumers could touch and use the product.

Effect of Online Food Service Franchise Experiences on Satisfaction and Revisit Intention: Application of ANN Analysis (외식프랜차이즈의 서비스 경험이 만족과 재방문의도에 미치는 영향: 인공신경망 분석의 적용)

  • LEE, Shin-Hwa;AHN, Sung-Man;LEE, You-Jung
    • The Korean Journal of Franchise Management
    • /
    • v.10 no.2
    • /
    • pp.59-70
    • /
    • 2019
  • Purpose - Every company studies how to attract and retain new customers to increase competitiveness and profitability. Companies establish strategies to attract customers, secure competitive advantage and generate revenue. Businesses are looking for newer and better ways to differentiate themselves in the marketplace. One of the requirements for service differentiation is to make it a prerequisite for an engaging customer experience. Customer experience can be attained through service experience. Satisfaction determine whether to reuse the food service franchise. The purpose of this study is to investigate the effect of customer experience on the satisfaction and revisit intention of food service franchise. In this study, customer experience consists of three attributes such as service environment, food quality, and price fairness. Also, this study is to identify the importance of three service experience attributes of customer satisfaction and revisit intention using ANN (artificial neural network) analysis. Research design, data, methodology - The survey was conducted on customers who have visited franchise restaurants in one month in order to examine how service environment, food quality, and price fairness have been influenced customer satisfaction and revisit intention through online survey company (SM culture & contents). A total of 300 representative surveys were collected. Of those collected surveys, 26 were not used due to missing information, resulting in 274 as the final sample size. The sample size was more than 10 times more than the number of variables used in the structural model analysis. Results - The findings of this study are as follows: Service environment and price fairness have a significant effect on satisfaction. However, food quality did not have a significant effect on satisfaction. Finally, it was found that satisfaction had a significant effect on revisit intention. Meanwhile, according to the results of ANN analysis, satisfaction as a dependent variable was found to be the most important in male price fairness and service environment in female. Also, when the revisit intention is used as a dependent variable, both male and female price fairness are important. Also, when the intention to revisit is used as a dependent variable, both male and female price processes are important. Conclusions - First, a restaurant franchise enterprise needs to manage customer service experience. Customers should strive to eat and enjoy at a dining franchise store. Second, it is necessary to design a food service franchise shop as a customer-oriented service environment. Franchise companies need to improve the environment so that customers can use the store conveniently. Third, the restaurant franchise menu price needs to be cheaper than the alternative menu. The restaurant franchise menu needs to be constructed with a popular menu that can be used continuously by the customer, so that it can be set at a reasonable price.