• Title/Summary/Keyword: Perceived Recommendation Quality

Search Result 38, Processing Time 0.027 seconds

Distribution of Air Tickets through Online Platform Recommendation Algorithms

  • Soyeon PARK
    • Journal of Distribution Science
    • /
    • v.22 no.9
    • /
    • pp.39-48
    • /
    • 2024
  • Purpose: The purpose of this study is to collect and analyze a large amount of data from online ticket distribution platforms that offer multiple airlines and different routes so that they can improve their ticket distribution marketing strategies and provide services that are more suitable for consumer's needs. The results of this study will help airlines improve the quality of their online platform services to provide more benefits and convenience by providing access to multiple airlines and routes around the world on one platform. Research design, data and methodology: For the study, 200 people completed the survey between May 1 and June 15, 2024, of which 191 copies were used in the study. Results: The hypothesis testing results of this study showed that among the components of the recommendation algorithm, decision comport, novelty, and evoked interest recurrence had a positive effect on perceived recommendation quality, but curiosity did not have a positive effect on recommendation quality. The perceived recommendation quality of the online platform positively influenced recommendation satisfaction, and the higher the perceived recommendation quality, the higher the intention to continue the relationship. Finally, higher recommendation satisfaction was associated with higher relationship continuation intention. Conclusion: it's important to continue researching online ticketing platforms. Online platforms will also need to be systems that use technology and data analytics to provide a better user experience and more benefits.

Empirical Study of Determinants Influencing Intention to Recommend Contents Based on Information System Success Model (콘텐츠 추천의도에 영향을 미치는 요인에 관한 연구: 정보시스템 성공모형을 중심으로)

  • Kim, Sanghyun;Park, Hyunsun
    • Knowledge Management Research
    • /
    • v.21 no.4
    • /
    • pp.175-193
    • /
    • 2020
  • With the proliferation of information technology communication and smart device, the environment where contents are produced and distributed is changing. People can use the contents quickly and easily, and the content industry is attracting attention and creating newly added value by converging with other industries. Accordingly, there is a need for content-related companies to understand the quality of content perceived by users in order to succeed in content, and to use it strategically. Therefore, this study aims to examine the relationship between content quality factors, user satisfaction, and recommendation intention through empirical analysis based on an IS success model. The analysis was conducted using smartPLS3.0 based on a total of 301 survey responses. As a result of the study, it was found that content usefulness, accessible system quality, convenient system quality, service provider trust, and interaction had a significant effect on user's satisfaction. Perceived privacy protection had a significant effect on user satisfaction and recommendation intention. Lastly, it was found that user satisfaction had a significant effect on recommendation intention. The results of this study are expected to provide useful information and therefore content companies can understand about the quality perceived by users.

The Effects of Perceived Netflix Personalized Recommendation Service on Satisfying User Expectation (지각된 넷플릭스 개인화 추천 서비스가 이용자 기대충족에 미치는 영향)

  • Jeong, Seung-Hwa
    • The Journal of the Korea Contents Association
    • /
    • v.22 no.7
    • /
    • pp.164-175
    • /
    • 2022
  • The OTT (Over The Top) platform promotes itself as a distinctive competitive advantage in that it allows users to stay on the platform longer and visit more often through a Personalized Recommendation Service. In this study, the characteristics of the Personalized Recommendation Service are divided into three categories: recommendation accuracy, recommendation diversity, and recommendation novelty. Then proposed a research model which affects the usefulness of users to recognize recommendation services by each characteristics and leads to satisfaction of expectations. The result of conducting an online survey of 300 people in their 20s and 30s who subscribe Netflix shows that the perceived usefulness increased when the accuracy, variety, and novelty of Netflix's Recommendation Service were high. It was also confirmed that high perceived usefulness leads to satisfaction of expectations before and after Netflix use. The derived research results can confirm the importance of evaluating the personalized recommendation service in terms of user experience and provide implications for ways to improve the quality of recommendation services.

The Effect of Representativeness in News Recommendation Mechanisms on Audience Reactions in Online News Portals (대표성 기반 뉴스 추천 메커니즘이 온라인 뉴스 포탈의 독자 반응에 미치는 영향)

  • Lee, Un-Kon
    • The Journal of Society for e-Business Studies
    • /
    • v.21 no.2
    • /
    • pp.1-22
    • /
    • 2016
  • News contents has been collected, selected, edited and sometimes distorted by the news recommendation mechanisms of online portals in nowadays. Prior studies had not confirmed the consensus of newsworthiness, and they had not tried to empirically validate the impacts of newsworthiness on audience reactions. This study challenged to summarize the concepts of newsworthiness and validate the impact of representativeness of both editor's and audience's perspective on audience reactions as perceived news quality, trust on news portal, perceived usefulness, service satisfaction, loyalty, continuous usage intention, and word-of-mouth intention by adopting the representativeness heuristics method and information adoption model. 357 valid data had been collected using a scenario survey method. Subjects in each groups are exposed by 3 news recommendation mechanisms: 1) the time-priority news exposure mechanism (control group), 2) the reference-score-based news recommendation mechanism (a single treatment group), and 3) the major-news-priority exposure mechanism sorting by the reference scores made by peer audiences (the mixed treatment group). Data had been analyzed by the MANOVA and PLS method. MANOVA results indicate that only mixed method of both editor and audience recommendation mechanisms impacts on perceived news quality and trust. PLS results indicate that perceived news quality and trust could significantly affect on the perceived usefulness, service satisfaction, loyalty, continuance usage, and word-of-mouth intention. This study would contributions to empathize the role of information technology in media industry, to conceptualize the news value in the balanced views of both editors and audiences, and to empirically validate the benefits of news recommendation mechanisms in academy. For practice, the results of this study suggest that online news portals would be better to make mixed news recommendation mechanisms to attract audiences.

A Study on the Correlation between Quality of Service and Satisfaction in General Hospital (종합병원 외래환자의 만족도와 서비스 품질 간의 관계 연구)

  • Lee, Yun-Seok;Suh, Won-Sik
    • Journal of radiological science and technology
    • /
    • v.42 no.6
    • /
    • pp.497-505
    • /
    • 2019
  • This study analyzed whether satisfaction to healthcare service quality that patients experienced in a general hospital affects recommendation on that hospital. As a result of the analysis, healthcare service quality partially affected patients' satisfaction. In addition, the satisfaction was partially positively correlated with the recommendation intention. This study has implications in that it revealed that satisfaction perceived by patients leads to recommendation intention and it suggested marketing plans necessary for hospital management performance.

The Effect of the Personalized Recommendation System of Online Shopping Platform on Consumers' Purchase Intention (온라인 쇼핑 플랫폼의 개인화 추천 시스템이 소비자의 구매의도에 미치는 영향)

  • Yingying Lu;Jongki Kim
    • Information Systems Review
    • /
    • v.25 no.4
    • /
    • pp.67-87
    • /
    • 2023
  • Many online shopping sites now offer personalized recommendation systems to improve consumers' shopping experiences by lowering costs (time, cost, etc.), catering to consumers' tastes, and stimulating consumers' potential shopping needs. So far, domestic and foreign research on the personalized recommendation system has mainly focused on the field of computer science, which is advantageous for obtaining accurate personalized recommendation results for users but difficult to continuously track the users' psychological states or behavioral intentions. This study attempted to investigate the effect of the characteristics of the personalized recommendation system in the online shopping environment on consumer perception and purchase intention for consumers using the Stimulus-Organism-Response (S-O-R) model. The analysis results adopted all hypotheses on the effect of the quality of the personalized recommendation system and information quality on trust and perceived value. Through the empirical results of this study, the factors influencing consumers' use of personalized recommendation system can be identified. In order to increase more purchase, online shopping companies need to understand consumers' tastes and improve the quality of the personalized system by improving the recommendation algorithm thus to provide more information about products.

The Effects of Perceived Quality of Fashion Chatbot's Product Recommendation Service on Perceived Usefulness, Trust and Consumer Response (패션 챗봇 상품추천 서비스의 지각된 품질이 지각된 유용성, 신뢰 및 소비자 반응에 미치는 영향)

  • Lee, Yuri;Kim, Hyojung;Park, Minjung
    • Journal of the Korean Society of Clothing and Textiles
    • /
    • v.46 no.1
    • /
    • pp.80-98
    • /
    • 2022
  • Artificial intelligent chatbot services have recently become common in fashion e-retailing and are expected to improve online shopping by making it easy to recommend products. This study examines whether the perceived quality of a fashion chatbot affects consumers' trust and perception of usefulness, which in turn influences satisfaction and intention to use, in accordance with the information system success model. The study also investigates differences in perceived quality and consumer response variables between high and low groups of self-efficacy. A total of 341 consumers participated in an online survey. The results revealed that information quality and system quality had a significant impact on perceived usefulness and trust, and that service quality significantly impacted trust. Perceived usefulness and trust had a positive effect on consumer satisfaction, which in turn had a positive effect on intention to use. In addition, the findings revealed that people who had higher self-efficacy showed higher scores on perceived usefulness, trust, satisfaction, and intention to use chatbots as compared to people who had lower self-efficacy. This study suggested theoretical implications by applying the information system success model theory to fashion chatbot studies. It also suggested practical implications for e-commerce marketers developing retail strategies.

Effect of Healthcare Quality on Recommended Intention in Vietnam A Hospital : Focusing on Customer Satisfaction Mediated Effects (베트남 A 병원의 의료서비스 품질이 추천의도에 미치는 영향 : 고객 만족도 매개효과를 중심으로)

  • Kim, Bo-Ha;Hwang, Mi-Kung;Lee, Won-Jae
    • Journal of radiological science and technology
    • /
    • v.44 no.2
    • /
    • pp.133-140
    • /
    • 2021
  • This study aims to analyze the quality and satisfaction of healthcare perceived by patients using hospitals and to provide basic data necessary for expanding and settling Vietnamese healthcare services by analyzing the impact on recommendation intentions. The research method selected one hospital in Vietnam and collected data from patients using the hospital and used a total of 286 effective samples as data for hypothesis verification. The research model and hypothesis verification were analyzed with the statistical data from SPSS and AMOS. The findings show that, first, tangibility, accessibility, and reliability all have a positive effect on the quality of healthcare. Second, it has been shown that only accessibility among the quality of healthcare has a positive effect on recommendation intentions. Third, customer satisfaction has been shown to have a positive effect on recommendation intentions. Fourth, when looking at the mediating effect, reliability among the quality of healthcare was shown as a full-mediated effect, but accessibility was shown to have a partial mediating effect and tangibility to have no mediating effect. Contact management is important because customer satisfaction is highly regarded when customers feel positive emotions at the interface from the provision of convenience facilities that support medical services to the reduction of waiting time for patients, employees kindness, treatment, medication, and inspection. It is also confirmed that the demand for convenient and rapid use of hospitals is increasing in Vietnam. In addition, if customer satisfaction is increased through friendly medical staff's response, the intention of recommendation will be even greater.

The Effect of Perceive Service Quality of Local Content Production Policy on User Satisfaction, Reuse Intention, and Recommendation Intention (지역콘텐츠 제작지원 사업의 지각된 서비스 품질이 이용 만족, 재이용 의도, 추천 의도에 미치는 영향)

  • Kim, Sehwan
    • 지역과문화
    • /
    • v.8 no.2
    • /
    • pp.1-20
    • /
    • 2021
  • This study analyzed the effect of perceived service quality for the local content production policy on the service user satisfaction, reuse intention, and the recommendation intention. First, reliability, responsiveness, and adequacy were identified as the service quality evaluation criteria of the local content production policy. Second, all of the quality evaluation criteria had a positive effect on the service user satisfaction. Third, responsiveness had a positive effect on reuse intention, and responsiveness and reliability had a positive effect on recommendation intention. Fourth, the service user satisfaction had a positive effect on the reuse intention and recommendation intention. Therefore, this study has the significance of presenting a theoretical model for the service quality evaluation of the local content production policy, and suggesting perspective for the improvement of the policy.

Patient experience and recommendation intention at specialty hospitals (전문병원 입원환자의 환자경험 및 추천의향)

  • Ji Eun Kim;Myung-ll Hahm;Kyounga Lee
    • Korea Journal of Hospital Management
    • /
    • v.28 no.2
    • /
    • pp.21-31
    • /
    • 2023
  • Purposes: Patient experience is a tool to evaluate the process and results of medical services provided by medical institutions from the patient's point of view. Patient satisfaction surveys are a meaningful and essential source of information for improving quality in healthcare organizations. This study aims to provide basic data for improving the quality of medical service that patients can feel by analyzing the recommendation intention and satisfaction of inpatients in specialty hospitals. Methodology: The subjects of this study were 879 inpatients in 28 specialty hospitals in 14 designated fields. We conducted a telephone survey with a structured questionnaire on the satisfaction and recommendation intention for specialty hospitals. Findings: In inpatients, hospital satisfaction was higher in nursing care services and hospital satisfaction was low in physicians care services. The overall patient satisfaction score was 91.4(SD=11.9) out of 100, and the intention of recommendation was 92.0(SD=14.1) out of 100. The factors affecting patient experience were designated fields, sex, age, residential area, monthly household income, and perceived health status. Practical Implications: This study confirmed the high level of patient satisfaction and recommendation intention among inpatients of specialty hospitals. Patient satisfaction can be of great value to healthcare providers in recognizing and improving the quality of care, as well as predicting patients' willingness to revisit medical institutions. This study can be used to improve the quality of hospital care services in specialty hospitals rather than general and tertiary general hospitals.

  • PDF