• Title/Summary/Keyword: Personalization Model

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Assessing Interactions Among Omnichannel Attributes, Customer Perceptions, Customer Experience, Channel Selection

  • NGUYEN, Hai Ninh;NGUYEN, Anh Duc
    • Journal of Distribution Science
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    • v.20 no.3
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    • pp.1-11
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    • 2022
  • Purpose: This study aims at understanding the impacts of three omnichannel attributes (channel transparency, channel uniformity, channel convenience) and four customer perceptions (perceived innovativeness, perceived personalization, perceived risk, perceived credibility) on customer experience and channel selection decision. Research design and methodology: A quantitative online survey with 356 shoppers was executed. The partial least squares linear structural model (PLS-SEM) and Smart PLS were adopted to analyze the collected data and test the proposed hypotheses. Results: The research findings indicate four dominant results: (i) The customers' channel selection is directly determined by customer experience; perceived innovativeness; perceived personalization; perceived risk; and perceived credibility; and (ii) among these, the perceived risk shows negative impact on the customer's experience and customers' channel selection whereas others reveal the positive status; (iii) The customer experience represents the most decisive impact on the channel selection, then perceived personalization, perceived credibility, perceived innovativeness, and perceived risk. (iv) Three proposed channel attributes (transparency, uniformity, convenience) significantly influence the overall customer experience. Conclusions: This research adds to the body of knowledge in omnichannel retailing, customer experience, and customer channel selection. Furthermore, this research provides omnichannel retailers with practical implications for improving customer channel selection.

A Study on the Precedent Factors of WOM Intention in the Context of OTT Service: Focusing on Emotional Factors (OTT 서비스 이용자의 구전의도에 영향을 미치는 요인에 관한 연구: 감정요인을 중심으로)

  • Kim, Yoo Jung
    • The Journal of Information Systems
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    • v.32 no.2
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    • pp.63-85
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    • 2023
  • Purpose According to a recent survey, more than 90% of customers make purchase or use decisions for their products and services, primarily based on word-of-mouth(WOM) information (reviews, recommendations, ratings, etc.). However, few studies have explored what factors influence user's WOM intention in the context of OTT service. To address this gap, this study investigates the antecedent factors of WOM intention by adopting stimulus-organism-response (SOR) theory and pleasure arousal dominance (PAD) theory as a theoretical basis. Design/methodology/approach The research model consists of stimulus factors (diversity of original content, aesthetics, interactivity, personalization quality), emotional factors (pleasure, excitement, dominance), and behavioral factor (WOM intention). The research hypothesis was tested using the survey data collected from OTT service users of 305. Findings The result reveals that diversity of original content significantly affects on pleasure and arousal whereas it is not associated with dominance. Findings indicate that aesthetics positively influences pleasure, and interactivity is not associated with arousal. It is also proven that personalization quality has a positive effect on dominance. In addition, pleasure, arousal, and domination are proven to be positively and significantly related to WOM intention.

A Study on Development of Hybrid Personalization Recommendation System Based on Learing Algorithm (학습알고리즘 기반의 하이브리드 개인화 추천시스템 개발에 관한 연구)

  • Kim Yong;Moon Sung-Been
    • Journal of the Korean Society for Library and Information Science
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    • v.39 no.3
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    • pp.75-91
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    • 2005
  • The popularization of the internet has produced an explosion in amount of the information. The importance of web personalization is being more and more increased. The personalization is realized by learning user's interest. User's interest is changing continuously and rapidly. We use user's profile to represent user's interest. User's profile is updated to reflect the change of user's interest. In this paper we present an adaptive learning algorithm that can be used to reflect user's interest that is changing with time. We propose the User's profile model. With this profile user's interest is learned based on user's feedback. This approach has applied to develop hybrid recommendation system.

The Effect Service and Individual Characteristics on Usage Intention of Location-Based Advertising : Focused on the Moderating Effects of Gender (서비스 특성과 개인적 특성이 위치기반광고의 이용의도에 미치는 영향에 관한 연구 : 성별의 조절효과를 중심으로)

  • Jang, Sung Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.11
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    • pp.7310-7320
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    • 2015
  • The purpose of this study is to examine the factors influencing usage intention of Location-Based Advertising (LBA) and moderating effects of gender. This model tests various theoretical research hypotheses relating to LBA, service and individual characteristics, and Technology Acceptance Model (TAM). The target population of this study was LBA users. The results of hypothesis testing are as follows. First, personalization and ubiquity positively influence attitudes toward LBA and irritation negatively influence attitudes toward LBA. Second, coupon proneness and flow experience positively influence attitudes toward LBA. Finally, personalization and ubiquity to attitudes toward LBA for females are significantly larger than those for males. And coupon proneness and flow experience to attitude for males are significantly larger than those for females. The results of this study will provide various implications to improve usage intention of LBA.

Video Adaptation Model for User-Centric Contents Delivery in Mobile Computing (모바일 환경에서 맞춤형 콘텐츠 전달을 위한 비디오 적응성 모델)

  • Kim, Svetlana;Yoon, Yong-Ik
    • The KIPS Transactions:PartA
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    • v.16A no.5
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    • pp.389-394
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    • 2009
  • Lately the usage of multimedia equipment with small LCD displays is rapidly increasing. Although many people use devices like this, videos intended for TV or HDTV are sent to these mobile devices. Therefore cases where it is hard for the user to view the desired scenes are growing more frequent. Currently, most services simply reduce the size of the content to fit the screen when they offer it for mobile devices. However, especially with sports broadcasts, there are many areas that cannot be seen very well because it was simply reduced in size. We therefore consider this weakness and are researching how to let the user choose an area of interest and then sending it to the user in a way that fits the device. In this paper, we address the problem of video delivery and personalization. For the delivered video content, we suggest the UP-SAM User Personalized Context-Aware Service Adaptation Middleware) model that uses the video content description and MPEG-21 multimedia framework.

Web 2.0 features based personalization for academic digital libraries: an application for collaborative environment

  • Bhide, Aditya M.;Yoo, Jae-Heung;Rho, Jae-Jeung
    • 한국경영정보학회:학술대회논문집
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    • 2007.06a
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    • pp.115-119
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    • 2007
  • Huge amount of useful information is getting added to the academic digital world everyday, This digitalized information is heterogeneous and remained limited to a local domain only. How to integrate and share this scattered knowledge with simplicity remained a big challenge. In this paper, we propose a prototype of web application for accomplishing above task using web 2.0 features; it makes traditional academic digital libraries to form as a special case of collaborative environment. This application enables users to customize their own resources to form their own virtual digital library. Further users can utilize personalized information of other users working in similar research domain to form true collaborative environment. The model and framework for the new look of academic digital library is presented.

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System Design and Service Scenario for the Second Screen Service

  • Park, Joo Hyun;Lim, Soon-Bum
    • Journal of Multimedia Information System
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    • v.3 no.4
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    • pp.111-118
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    • 2016
  • Today, the proliferation of various mobile devices, such as smart phones and tablet PC, brought changes in the existing TV viewing behavior. People use smart devices as secondary device while watching TV. Researches on a wide range of services linked with second-screen devices around the smart TV in the home network have been actively conducted. While there exist several Web-related technologies for connections between devices, specialized techniques for a second screen service are quite insufficient. There are still some problems related to the display of contents from multiple devices and the efficient transfer of these contents. Considering the characteristics of broadcasting systems In this study, we focus on a second screen service that permits a dynamic transfer of contents by connecting a television (TV) with mobile devices. Here, we propose a second screen service model to enable the personalization of TV contents by combining the existing broadcasting and Web-related techniques.

A Personalized Model and its Implementation of Real-Life Space for Providing Efficient Ambient Service (효율적인 엠비언트 서비스 제공을 위한 실생활 공간의 개인화 모델 및 구현)

  • Lim, Sora;Kwon, Yong-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.1
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    • pp.118-130
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    • 2013
  • With the advent of a new services environment based on high-speed mobile networks and high-performance mobile devices, users in real life require content-centric services that provide personalized information conveniently and efficiently. These services are defined as ambient services. To implement and support sustainable ambient services, there is a critical need to conduct research regarding practicable models and methodologies. This paper proposes an effective model for ambient services based on the personalization of real-life space. The model consists of Public Info-space, Universal Info-space and Private Info-space. We also show a methodology for implementing the model with currently available techniques in order to prove that the model and methodology constitute an applicable solution to developing true ambient services. Finally, a kind of role-playing game which is built on a real university campus is presented to show the model to be available, where the test bed infrastructure consists of wireless mesh networks and real-time location systems (RTLSes).

Data Mining for Personalization Model Using Customer Belief under the Internet Banking Environment (인터넷 뱅킹에서 고객의 신념을 이용한 개인화 모형을 위한 데이터마이닝)

  • 홍태호;서보밀;한인구
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2002.11a
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    • pp.215-219
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    • 2002
  • 인터넷의 급속한 성장으로 e비즈니스의 인터넷 사용이 증대되었다. 인터넷 환경에서는 새로운 인터넷 사용자라는 소비자를 대상으로 인터넷 소비자 행동에 관한 연구가 중요한 분야로 자리잡게 되었다. 인터넷상에서의 소비자 행동을 설명하기 위해 온라인 인지절차 (Cognitive process)에 관한 연구로, 웹 사이트에 대한 소비자의 태도에 미치는 영향을 밝히는 연구들이 수행되었다. 웹 사이트에 대한 소비자의 태도에 따른 개인화된 마케팅을 위해서는 웹사이트를 소비자의 특성을 고려해서 개인화된 웹사이트를 운영해야 한다. 개인의 정보 시스템 사용에 대한 설명을 위하여 많은 모형들이 개발되어 왔다. 기술 수용 모형(Technology Acceptance Model: TAM)은 개인의 정보 시스템 수용에 영향을 미치는 요소를 설명하기 위하여 가장 폭 넓게 사용되고 있는 모형이다. TRA 모형에 따르면, 개인의 사회적 행위는 그 행위의 결과에 대한 신념에 의해 영향을 받는다고 할 수 있다. 본 연구에서는 고객의 신념을 신뢰 (Trust), 유용성 (Usefulness), 사용의 편의성 (Ease of Use), 위험 (Risk), 보안통제 (Security control)로 분류하고, 고객의 실제 사용 (Usage)을 인터넷 뱅킹 환경에서 측정하여 고객세분화에 적용하였다. 세분화된 고객집단을 분류하기 위해서 인공신경망, 판별 분석 기법을 적용하여 웹 사이트에서 사용할 수 있는 개인화 모형을 개발하였다.

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Collaborative Consumption Motivation Factor Model under the Sharing Economy (공유경제 모형에서의 협력적 소비 영향요인)

  • Roh, Tae-Hyup;Choi, Hwa-Yeol
    • The Journal of Information Systems
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    • v.27 no.2
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    • pp.197-219
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    • 2018
  • Purpose The purpose of this study is to examine what motivates users to adopt one of the emerging applications for collaborative consumption of sharing economy. Using the self-determination theory, motivation theory and TAM(Technology Acceptance Model) as the theoretical framework, this study illustrates important factors that influence adoption of collaborative consumption service. We develops the ICTs(Information and Communications Technologies) initiatives and motivation model to collaborative consumption. Design/methodology/approach This paper makes use of a quantitative methodology using survey questionnaire that allows for the measurement of the eight constructs(System Availability, Contents Quality, Design & Personalization, Security & Privacy, Emotional & Social Value, Economic Value, Attitude, Adoption & Consumption) contained in the hypothesized theoretical model on the basis of the prior literatures. Data collected from a sample of 227 respondents who have used the collaborative consumption services and provided the foundation for the examination of the proposed relationships in the model. Findings This study has the following implications for the users and providers of CC platforms and services. The ICTs initiatives (System Availability, Contents Quality, Design & Personalization, Security & Privacy) are the influential factors that motivate the emotional and social value to CC. On the other hand, The ICTs initiatives (System Availability, Contents Quality) are not very significant factors of economic value to CC. The empirical analysis result indicate that there are significant causal effect among emotional & social value, economic value, and adoption to CC. This study provides important theoretical implications for innovation adoption research through an empirical examination of the relationship between ICTs initiatives, motivation factors to collaborative consumption in the sharing economy.