• Title/Summary/Keyword: Offline Market

Search Result 186, Processing Time 0.027 seconds

Global O2O Matching Platform research based on Clinics (글로벌 클리닉 기반의 O2O 매칭 플랫폼 연구)

  • Park, Jong-Youel;Park, Dea-woo
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.20 no.8
    • /
    • pp.1517-1523
    • /
    • 2016
  • The global medical tourism industry including Asian market has been activating recently. That is as medical tourists are motivated to seek the higher quality of healthcare with lower costs, as well as of travel. The consumers in this field tend to need customized services of medical tourism. It is needed that the consumers get customized information on medical services and traveling, the clinics and hospitals resolve the issues of offering translation and luring medical tourists from overseas, and the guides, who offer tour and translation service, provide the consumers and the clinics with customized services so that they get the services needed for one another. This research studies the Offline to Online, called O2O, matching platform based on global clinics, which connects medical facilities, patients, and guides for traveling and language services. It presents the customized marketing plans by utilizing customers' experiences from medical services and traveling they use.

The Effect of Food Online-to-Offline (O2O) Service Characteristics on Customer Beliefs using the Technology Acceptance Model (기술수용모델을 이용한 외식 O2O 서비스 특성이 고객신념에 미치는 영향 연구)

  • Won, Junyeon;Kang, Hyungchul;Kim, Byeongyong
    • Culinary science and hospitality research
    • /
    • v.23 no.7
    • /
    • pp.97-111
    • /
    • 2017
  • As a single-person household emerges as an important consumer group, an Online-to-Offline or Offlineto-Online(O2O) service market is rapidly growing. This study attempted to verify the effects of convenience and webrooming characteristics of O2O service using the Technology Acceptance Model (TAM). The purpose of this study was to investigate the effects of the convenience and webrooming of food O2O service on users' perceived ease of use and perceived usefulness, and the effects of perceived ease of use and perceived usefulness on purchase intention of O2O services. Using a convenience sampling technique, an online survey was conducted through Google survey from April 16 to April 30, 2017 and was distributed to 447 O2O service users. A total of 320 questionnaires were included in the final analysis. The results showed that convenience had a significant effect on users' perceived ease of use as well as perceived usefulness. In addition, users' perceived ease of use had a significant impact on users' perceived usefulness. Finally, both perceived ease of use and perceived usefulness positively affected users' purchase intention of O2O services. These findings suggest that differentiated events, promotions, and store information should be provided when launching O2O service because webrooming is a more important factor in enhancing perceived usefulness than the perceived ease of use.

Design for Interworking with Payment System using Short-Range Wireless Communication Method (근거리 무선 통신 방식을 이용한 모바일 결제 시스템 연동에 대한 설계)

  • Lee, Ju-Sang;Lee, Hyo-Seung;Oh, Jae-Chul
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.15 no.6
    • /
    • pp.1031-1036
    • /
    • 2020
  • Untact marketing emerged as one of the top 10 marketing in 2018. Since then, the scale of the mobile payment market has expanded, and the ratio of payment through mobile is melting into life even offline. Various mobile apps such as Samsung Pay and Smart Order are already popular systems, and various other mobile payment systems are increasing. For such mobile payments, this paper aims to comprehensively design a general-purpose untouched offline payment system by designing a mobile payment system that applies a short-range wireless communication method along with a study on the currently available mobile payment-linked API. We propose an offline payment system with an untouch method to prevent the spread of infectious diseases and contribute to a healthy society by solving the problem and minimizing contact with others in the current situation like the Corona 19 Incident.

An Empirical Study on the Characteristics of Korean B2C Exporters (우리나라 온라인 수출기업의 특성에 관한 실증연구)

  • Chang, Sang-Sik;Park, Kwang-So;Nam, Kyung-Doo
    • Korea Trade Review
    • /
    • v.41 no.3
    • /
    • pp.43-62
    • /
    • 2016
  • As global online business expands, direct overseas sales, where company directly sells products to foreign consumers, has become a new trend. The purpose of this study is to find out the characteristics of B2C Korean online exporters. This study analyzes export companies, 45,267 doing offline business and 205 online, and the two findings drawn from the study are as follows: First, B2C online exporters shipped 4-5 times more products to 10-13 times more countries than offline exporters. It also showed higher rate of export persistency. Second, from using gravity model analysis, it was found that export through online sales removes distance barrier by 60% more than offline. In addition, Free Trade Agreement appears to help boost online overseas sales. This study has significance in that it is the first analysis on B2C online export using actual proof, and it can be differentiated by other researches in terms of identifying the traits of Korean online export.

  • PDF

The Impacts of Economic, Social, and Personal Benefits on Intention to Repurchase a Mobile Gift : Focusing on Exchange and Motivation Theories (경제적, 사회적, 개인적 효익이 모바일 선물 재구매 의도에 미치는 영향 : 교환이론과 동기이론을 중심으로)

  • Kim, Sun-Kyu;Jo, In-Jea;Yang, Sung-Byung
    • Journal of Information Technology Services
    • /
    • v.14 no.1
    • /
    • pp.1-21
    • /
    • 2015
  • Recently, many companies have launched a new business model related to the mobile gift service in order to achieve or sustain a competitive advantage in the fast-growing mobile market. Due to the well combination of mobile technology advantages and offline gift-giving motivations, a mobile gift service has been proliferating over recent years. Although the motivation of mobile gift purchasing behavior can be different from that of offline gift purchasing behavior, there is still a lack of research on what factors are influencing and how they are impacting mobile gift purchasing behavior under diverse gift-giving settings. Therefore, based on both exchange and motivation theories as well as literature review, this study identified three influencing factors-economic (immediate rewards, convenience), social (friendship needs, reputation), and personal (enjoyment, self-satisfaction) benefits-and validated their impacts on intention to repurchase a mobile gift. Moreover, the moderating roles of intimacy and gift price in the relationships between benefits and mobile gift repurchasing intention were examined. The results provide many implications for marketing managers on how to enhance consumers' intention to repurchase, which in turn leads to sales and increased profit.

A Study on Casual Wear Brand Awareness and Brand Image for Internet Business (인터넷 상거래를 위한 캐주얼웨어 브랜드인지도 및 이미지 분석)

  • Kim, Chil-Soon;Lee, Eun-A;Nam, Young-Mi
    • Journal of Global Scholars of Marketing Science
    • /
    • v.8
    • /
    • pp.165-181
    • /
    • 2001
  • The purpose of this study was to observe brand awareness and to research brand image in on line and off line market of casual wear. This study was to observe consumer's seeking image also. The 600 reliable questionnaires were used for statistical analysis. A SAS statistical package including frequency table, Chi-square test was used. The results of this study were as follows: 1. Online research group and offline group had an association in brand awareness. 2. Consumers perceived natural, simple and comfortable image from Giodano brand. 3. The most favorite brand by online and offline group was Polo. The reason for their favorite brands were style > design > color in order. 4. Consumer sought simple, comfortable image in wearing a casual wear.

  • PDF

O2O Market Expansion and Women's University Students of Current Use of Mobile Shopping and Financial Services (O2O 시장 확대와 여자대학생의 모바일쇼핑·금융서비스 이용 현황)

  • Hwang, Eui-Chul
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2016.01a
    • /
    • pp.167-168
    • /
    • 2016
  • 2015년 대한민국을 관통하는 키워드 중 하나가 O2O (Online to Offline)이다. 대기업과 중소기업까지 O2O를 전면에 내세우고 새로운 비즈니스를 모색하는 기업들이 확대되고 있다. O2O 비즈니스 기업들의 업종도 모바일 메신저, 포털을 비롯한 인터넷 사업자, 통신사업자, 모바일 기기 제조사, 전자상거래 기업과 같은 정보통신기술(ICT) 관련 기업부터 유통기업까지 다양하다. 본 연구를 위하여 2014.5~2015.5 1년 간 여자대학생 92명의 '모바일 쇼핑 금융서비스 이용 현황' 조사를 실시하였다. 조사 결과, 상품정보검색(96.7%), 구매(88%), 주문 배송(77.2%), 할인 프로모션정보(62%) 등 모바일 쇼핑을 하였고, 모바일금융 서비스로는 하루에 1번정도 (20.4%), 월1~3회(20.4%), 1주 3~4회(16.3%), 이용 안하는 경우(24.5%)로 조사 되었다. 모바일 금융서비스를 이용하지 못하는 이유로는 개인정보보안 및 해킹우려(39%), 이용/결제 과정의 불편함(25.8%) 등 이었으며, 국내 O2O 플랫폼이 제공하는 서비스는 쇼핑부터 결제까지 완결적인 구조로 보완할 부분이 필수적이다.

  • PDF

Credit Risk Evaluations of Online Retail Enterprises Using Support Vector Machines Ensemble: An Empirical Study from China

  • LI, Xin;XIA, Han
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.9 no.8
    • /
    • pp.89-97
    • /
    • 2022
  • The e-commerce market faces significant credit risks due to the complexity of the industry and information asymmetries. Therefore, credit risk has started to stymie the growth of e-commerce. However, there is no reliable system for evaluating the creditworthiness of e-commerce companies. Therefore, this paper constructs a credit risk evaluation index system that comprehensively considers the online and offline behavior of online retail enterprises, including 15 indicators that reflect online credit risk and 15 indicators that reflect offline credit risk. This paper establishes an integration method based on a fuzzy integral support vector machine, which takes the factor analysis results of the credit risk evaluation index system of online retail enterprises as the input and the credit risk evaluation results of online retail enterprises as the output. The classification results of each sub-classifier and the importance of each sub-classifier decision to the final decision have been taken into account in this method. Select the sample data of 1500 online retail loan customers from a bank to test the model. The empirical results demonstrate that the proposed method outperforms a single SVM and traditional SVMs aggregation technique via majority voting in terms of classification accuracy, which provides a basis for banks to establish a reliable evaluation system.

The design of marketing services for offline activation of the market (오프라인 시장의 활성화를 위한 마케팅 서비스의 설계)

  • Park, Jung-Eun;Ban, Min-A;Jeong, Ga-Yeon;Yoon, Dong-Eon;Oh, Am-Suk
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2021.07a
    • /
    • pp.561-562
    • /
    • 2021
  • 시대가 발전함에 따라 무선통신 기술인 사물인터넷이 점차 성장하고 있으며 모바일 중심으로 IT환경이 재편됨에 따라 전자상거래의 결제방식 또한 변화하고 있다. IT시대에 맞춰 개인의 실시간 위치정보를 기반으로 홍보할 수 있는 지능적 마케팅 수단으로 하이브리드 비콘을 활용하여 고객이 매장근처를 지나치거나 방문할 때, 프로모션 및 쿠폰 정보를 전송하여 실시간 마케팅이 가능하게 한다. 하이브리드 비콘은 고주파의 특성상 매장 안팎의 고객 위치를 정교하게 구분 및 제공할 수 있으며, 블루투스의 연결이 끊기더라도 일정시간 동안 마케팅 서비스를 제공하는 강점이 있다. 본 논문에서는 하이브리드 비콘의 고주파와 저전력에 대한 강점을 활용하여 오프라인 매장에서의 고객에게 프로모션 정보나 모바일 적립 서비스를 제공함으로서 오프라인 시장의 마케팅 및 O2O시장 성장을 목표로 한다.

  • PDF

Machine Learning Approach for Prediction of VOD Usage (머신러닝을 활용한 VOD 이용건수 예측)

  • Jeon, Jong Seok;Jang, Ha Eun;Oh, Joo Hee
    • The Journal of the Convergence on Culture Technology
    • /
    • v.8 no.5
    • /
    • pp.507-513
    • /
    • 2022
  • This study developed a model for predicting the number of VOD uses of IPTV, an online market in the film industry. A machine learning-based prediction model was established using the VOD usage data collected by the Korean Film Council from 2017 to 2021. Through literature research and cluster analysis, the difference between the offline market and the online market is revealed, and a new category of VOD usage is proposed. The purpose is to help IPTV companies establish marketing strategies as well as support decision-making by developing a machine learning-based VOD usage prediction model.