• Title/Summary/Keyword: Consumer information

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Branding for TV Channel Focusing on Well-being Lifestyle of Green Consumers (그린 소비자를 위한 웰빙 라이프 스타일 채널 브랜드 제안)

  • Kim, Ye Ji;Paik, Jin Kyung
    • Design Convergence Study
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    • v.15 no.3
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    • pp.117-131
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    • 2016
  • The introduction of comprehensive programming channels has led to a diversity in the viewers' tastes and excessive competition between TV channels. Demand for channels on well-being is also increasing, due to the well-being and green consumption trends. This study conducted a case study on domestic and international channel branding strategies as well as an analysis on Korean channels focusing on well-being and lifestyle and found that there are no TV channels which provides comprehensive well-being information on food, clothing and housing at the moment in Korea. This study further discovered that information on such topics are currently provided in a tidbit fashion via educational or entertainment programs. Therefore, this study presented strategies for a well-being lifestyle channel brand and designed the brand mark and a station ID for the channel. This study conducted a survey targeting 50 men and women over 20 who have participated in environment-related projects for an objective verification of the channel brand strategies and design. The survey showed that the respondents were generally positive towards the necessity of the channel and of the content presented by this researcher. Some of the respondents, however, pointed out that the readability of the brand mark needs to be improved. This was reflected in the improved design and a survey comparing the two designs showed positive results. The results of this study will contribute to the launch of a well-being lifestyle channel targeting green consumers in the future.

The Role of Internet Self-efficacy in Internet Shopping (인터넷 쇼핑에서 인터넷 자기효능감의 역할)

  • Lee, Hobae;Kwon, Nam Kyeong
    • Asia Marketing Journal
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    • v.8 no.2
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    • pp.27-62
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    • 2006
  • This study suggested the internet self-efficacy construct for explaining consumer's searching information capability. It proposed that consumers who have a high internet self-efficacy feel confident they can search much information which they want to find. And it suggested if consumers have a high internet self-efficacy, they will perceive risk less and will experience flow when they use internet shopping mall also. To examine that effect of internet self-efficacy on flow, perceived risk, attitude, and purchase intention, It suggested hypotheses from the basis of prior studies. All of hypotheses were supported and the findings can be summarized as follows. First, internet self-efficacy had a positive effect on flow and a negative effect on perceived risk. Second, flow had a positive effect on attitude and perceived risk had a negative effect on attitude. Attitude had a positive effect on purchase intention also. In view of the result of analysis, between flow and purchase intention are mediated by and between perceived risk and purchase intention are mediated by attitude also. Finally, perceived risk didn't have an effect on flow.

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Effects of Perceived Control on Usage Intention toward Digital Finance Service: Moderating Role of Privacy Concern (사용자의 지각된 통제력이 디지털 금융서비스 이용의도에 미치는 영향: 프라이버시 염려 조절효과를 중심으로)

  • Jun Mo Kang;Cheol Park
    • Information Systems Review
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    • v.25 no.4
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    • pp.161-181
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    • 2023
  • As the post-COVID-19 consumer life environment is rapidly becoming non-face-to-face, changing non-face-to-face financial life services are having a significant impact on consumers' daily lives. People who do not have access to digital devices and services that have become essential goods are at risk of being left behind in the "digital blind spot," where they are marginalized not only in their daily lives but also in society and the economy as a whole (Kim Min-Jeung A, Kim Min-Jung B, Park Joo-Yung, 2022). In this study, we examined the effects of perceived control factors, Cognitive control, behavioral control, and decisional control, on intention to use digital finance. For this study, we surveyed 133 customers who are aware of and intend to use digital finance. The results show that cognitive control, behavioral control, and decisional control have significant effects on intention to use digital finance. In this relationship, the moderating effect of privacy concerns differs from the effect of decision control on intention to use digital finance. These findings suggest that digital financial services firms should consider whether to reduce or increase customer control. Based on these findings, we discuss marketing strategies and implications for digital financial services companies.

The Effects of Live Commerce and Show Host Features on Consumers' Likelihood of Impulse Buying: A Scenario-Based Experiment (라이브 커머스 및 쇼호스트 특성이 소비자의 충동구매가능성에 미치는 영향: 시나리오 기반 실험연구)

  • Nakyeong Kim;Sung-Byung Yang;Sang-Hyeak Yoon
    • Information Systems Review
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    • v.24 no.4
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    • pp.77-96
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    • 2022
  • Live commerce has recently received substantial attention due to the spread of the non-face-to-face consumption culture driven by the COVID-19 pandemic. Live commerce has a higher purchase conversion rate than other forms of commerce. Accordingly, the likelihood of impulse buying in a live commerce environment is expected to be high. However, there is a shortage of research on consumer impulse buying in the live commerce environment. This study designs a scenario-based experiment using the integrated model of consumption impulse formation and enactment. Through this method, this study validates the influence of the characteristics of live commerce (i.e., vicarious experience and real-time interaction) on consumers' likelihood of impulse buying and further examines the moderating role of a live commerce host feature (i.e., professionalism) in these relationships. The results of this study confirm that both vicarious experience and real-time interaction have a positive effect on consumers' likelihood of impulse buying and that professionalism strengthens the impact of vicarious experience on the likelihood of impulse buying. This study's scenario-based experimental design is meaningful because it analyzes the likelihood of impulse buying in the context of live commerce shopping. Additionally, it provides live commerce service and platform providers with practical insights into how to maximize profits and operate services more efficiently.

Development of Hybrid Recommender System Using Review Data Mining: Kindle Store Data Analysis Case (리뷰 데이터 마이닝을 이용한 하이브리드 추천시스템 개발: Amazon Kindle Store 데이터 분석사례)

  • Yihua Zhang;Qinglong Li;Ilyoung Choi;Jaekyeong Kim
    • Information Systems Review
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    • v.23 no.1
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    • pp.155-172
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    • 2021
  • With the recent increase in online product purchases, a recommender system that recommends products considering users' preferences has still been studied. The recommender system provides personalized product recommendation services to users. Collaborative Filtering (CF) using user ratings on products is one of the most widely used recommendation algorithms. During CF, the item-based method identifies the user's product by using ratings left on the product purchased by the user and obtains the similarity between the purchased product and the unpurchased product. CF takes a lot of time to calculate the similarity between products. In particular, it takes more time when using text-based big data such as review data of Amazon store. This paper suggests a hybrid recommendation system using a 2-phase methodology and text data mining to calculate the similarity between products easily and quickly. To this end, we collected about 980,000 online consumer ratings and review data from the online commerce store, Amazon Kinder Store. As a result of several experiments, it was confirmed that the suggested hybrid recommendation system reflecting the user's rating and review data has resulted in similar recommendation time, but higher accuracy compared to the CF-based benchmark recommender systems. Therefore, the suggested system is expected to increase the user's satisfaction and increase its sales.

The Effects of Cultural Factors in Tourists' Restaurant Satisfaction: Using Text Mining and Online Reviews (문화적 요인이 관광객의 음식점 만족도에 미치는 영향: 텍스트 마이닝과 온라인 리뷰를 활용하여)

  • Jiajia Meng;Gee-Woo Bock;Han-Min Kim
    • Information Systems Review
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    • v.25 no.1
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    • pp.145-164
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    • 2023
  • The proliferation of online reviews on dining experiences has significantly affected consumers' choices of restaurants, especially overseas. Food quality, service, ambiance, and price have been identified as specific attributes for the choice of a restaurant in prior studies. In addition to these four representative attributes, cultural factors, which may also significantly impact the choice of a restaurant for tourists, in particular, have not received much attention in previous studies. This study employs the text mining technique to analyze over 10,000 online reviews of 76 Korean restaurants posted by Chinese tourists on dianping.com to explore the influence of cultural factors on the consumer's choice of restaurants in the overseas travel context. The findings reveal that "Hallyu (Korean Wave)" influences Chinese tourists' dining experiences in Korea and their satisfaction. Moreover, Korean food-related words, such as cold noodle, bibimbap, rice cake, pig trotters, and kimchi stew, appeared across all the review topics. Our findings contribute to the existing tourism and hospitality literature by identifying the critical role of cultural factors on consumers', especially tourists', satisfaction with the choice of a restaurant using text mining. The findings also provide practical guidance to restaurant owners in Korea to attract more Chinese tourists.

An Influence of Artificial Intelligence Attributes on the Adoption Level of Artificial Intelligence-Enabled Products (인공지능 기반 제품 수용 정도에 인공지능 속성이 미치는 영향 연구)

  • Kwonsang Sohn;Kun Woo Yoo;Ohbyung Kwon
    • Information Systems Review
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    • v.21 no.3
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    • pp.111-129
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    • 2019
  • Recently, artificial intelligence (AI)-enabled products and services such as smartphones, smart speakers, chatbots are being released due to advances in AI technology. Thus researchers making effort to reveal that consumers' intention to adopt AI-enabled products. Yet, little is known about the intended adoption of AI-enabled products. Because most of studies has been not consideredthe perceived utility value of consumers for each attribute by classified based on the characteristics of AI-enabled products. Therefore, the purpose of this study is to investigate the difference in importance between attributes that affect the intention to adopt of AI-enabled products. For this, first, identified and classified the attributes of AI-enabled products based on IS Success Model of DeLone and McLean. Second, measured the utility value of each attribute on the adoption of AI-enabled products through conjoint analysis. And we employed construal level theory to see whether there are differences in the relative importance of AI-enabled products attributes depending on the temporal distance. Third, we segmented the market based on the utility value of each respondent through cluster analysis and tried to understand the characteristics and needs of consumers in each segment market. We expect to provide theoretical implications for conceptually structured attributes and factors of AI-enabled products and practical implications for how development efforts of AI-enabled products are needed to reach consumers need for each segment.

Measuring the Economic Value of Open Government Data: A Consumer Utility Perspective (공공데이터의 경제적 가치 측정: 소비자 효용 관점)

  • Chihong Jeon;Jaeung Sim;Daegon Cho
    • Information Systems Review
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    • v.20 no.2
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    • pp.1-19
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    • 2018
  • In many countries, governments invest a substantial amount of budget in open government data (OGD) for governmental performance and transparency. To understand the actual performance of such policies, the governments should measure the realized value. Many organizations and researchers have attempted to assess the value of OGD. However, they have neglected a perspective of consumers who benefit from OGD. Moreover, little research has quantified the economic value. This research examines extant methods of intangible asset valuation to quantify the economic value of OGD in a citizen perspective. In consideration of the extant research methods and the characteristics of OGD, the contingent valuation method is the most appropriate because it effectively reflects various users and their purpose of use. We then conduct a survey of citizens living in Seoul, Korea and assess the economic value of OGD provided by the Seoul government. Findings show that citizens' willingness to pay (WTP) differs across respondents' prior experience, tax resistance, perceived benefit and perceived reality of virtual scenario, but it does not differ across their demographics. WTP also significantly varies across the question formats. We discuss the reliability of the results and implications for future research.

Cluster Analysis for E-Government User Typology: By Purpose of Use, Channel of Use, and Perception of Information & Communication Technology (전자정부 이용자 유형화를 위한 군집분석: 전자정부 이용 목적, 이용채널, 정보통신기술에 대한 주관적 인식을 기준으로)

  • Kim, Si-jeoung;Kim, Hyun-Joon
    • Informatization Policy
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    • v.31 no.3
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    • pp.48-71
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    • 2024
  • In the modern era of digital sophistication, effective public administration warrants a citizen-centric approach that not only anticipates the needs of public service users but also comprehends their behaviors in undertaking proactive measures to deliver public services as needed. This study adopts a typological perspective by viewing e-government users as distinct consumer groups with individualized demands, behavioral tendencies, and perceptual attributes. Utilizing data from a 2021 survey on e-government service utilization, a two-step cluster analysis was conducted to delineate user typology through an empirical study. The analysis incorporated variables such as the purpose of using e-government, selected e-government channels, subjective perceptions of technological risk, and personal innovativeness. Accordingly, e-government users were classified into five distinct typological groups labeled "Unilateral Active Users Geared to Social Media," "Versatile Power Users," "Unilateral Pragmatic Active Users," "Occasional Passive Users," and "Minimal Users." This typological differentiation of e-government user groups is intended to help identify unique user demands and characteristics so as to facilitate the delivery of tailored e-government services and informed policy decisions catering to the diverse needs of users.

A Study on the Critical Success Factors of Social Commerce through the Analysis of the Perception Gap between the Service Providers and the Users: Focused on Ticket Monster in Korea (서비스제공자와 사용자의 인식차이 분석을 통한 소셜커머스 핵심성공요인에 대한 연구: 한국의 티켓몬스터 중심으로)

  • Kim, Il Jung;Lee, Dae Chul;Lim, Gyoo Gun
    • Asia pacific journal of information systems
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    • v.24 no.2
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    • pp.211-232
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    • 2014
  • Recently, there is a growing interest toward social commerce using SNS(Social Networking Service), and the size of its market is also expanding due to popularization of smart phones, tablet PCs and other smart devices. Accordingly, various studies have been attempted but it is shown that most of the previous studies have been conducted from perspectives of the users. The purpose of this study is to derive user-centered CSF(Critical Success Factor) of social commerce from the previous studies and analyze the CSF perception gap between social commerce service providers and users. The CSF perception gap between two groups shows that there is a difference between ideal images the service providers hope for and the actual image the service users have on social commerce companies. This study provides effective improvement directions for social commerce companies by presenting current business problems and its solution plans. For this, This study selected Korea's representative social commerce business Ticket Monster, which is dominant in sales and staff size together with its excellent funding power through M&A by stock exchange with the US social commerce business Living Social with Amazon.com as a shareholder in August, 2011, as a target group of social commerce service provider. we have gathered questionnaires from both service providers and the users from October 22, 2012 until October 31, 2012 to conduct an empirical analysis. We surveyed 160 service providers of Ticket Monster We also surveyed 160 social commerce users who have experienced in using Ticket Monster service. Out of 320 surveys, 20 questionaries which were unfit or undependable were discarded. Consequently the remaining 300(service provider 150, user 150)were used for this empirical study. The statistics were analyzed using SPSS 12.0. Implications of the empirical analysis result of this study are as follows: First of all, There are order differences in the importance of social commerce CSF between two groups. While service providers regard Price Economic as the most important CSF influencing purchasing intention, the users regard 'Trust' as the most important CSF influencing purchasing intention. This means that the service providers have to utilize the unique strong point of social commerce which make the customers be trusted rathe than just focusing on selling product at a discounted price. It means that service Providers need to enhance effective communication skills by using SNS and play a vital role as a trusted adviser who provides curation services and explains the value of products through information filtering. Also, they need to pay attention to preventing consumer damages from deceptive and false advertising. service providers have to create the detailed reward system in case of a consumer damages caused by above problems. It can make strong ties with customers. Second, both service providers and users tend to consider that social commerce CSF influencing purchasing intention are Price Economic, Utility, Trust, and Word of Mouth Effect. Accordingly, it can be learned that users are expecting the benefit from the aspect of prices and economy when using social commerce, and service providers should be able to suggest the individualized discount benefit through diverse methods using social network service. Looking into it from the aspect of usefulness, service providers are required to get users to be cognizant of time-saving, efficiency, and convenience when they are using social commerce. Therefore, it is necessary to increase the usefulness of social commerce through the introduction of a new management strategy, such as intensification of search engine of the Website, facilitation in payment through shopping basket, and package distribution. Trust, as mentioned before, is the most important variable in consumers' mind, so it should definitely be managed for sustainable management. If the trust in social commerce should fall due to consumers' damage case due to false and puffery advertising forgeries, it could have a negative influence on the image of the social commerce industry in general. Instead of advertising with famous celebrities and using a bombastic amount of money on marketing expenses, the social commerce industry should be able to use the word of mouth effect between users by making use of the social network service, the major marketing method of initial social commerce. The word of mouth effect occurring from consumers' spontaneous self-marketer's duty performance can bring not only reduction effect in advertising cost to a service provider but it can also prepare the basis of discounted price suggestion to consumers; in this context, the word of mouth effect should be managed as the CSF of social commerce. Third, Trade safety was not derived as one of the CSF. Recently, with e-commerce like social commerce and Internet shopping increasing in a variety of methods, the importance of trade safety on the Internet also increases, but in this study result, trade safety wasn't evaluated as CSF of social commerce by both groups. This study judges that it's because both service provider groups and user group are perceiving that there is a reliable PG(Payment Gateway) which acts for e-payment of Internet transaction. Accordingly, it is understood that both two groups feel that social commerce can have a corporate identity by website and differentiation in products and services in sales, but don't feel a big difference by business in case of e-payment system. In other words, trade safety should be perceived as natural, basic universal service. Fourth, it's necessary that service providers should intensify the communication with users by making use of social network service which is the major marketing method of social commerce and should be able to use the word of mouth effect between users. The word of mouth effect occurring from consumers' spontaneous self- marketer's duty performance can bring not only reduction effect in advertising cost to a service provider but it can also prepare the basis of discounted price suggestion to consumers. in this context, it is judged that the word of mouth effect should be managed as CSF of social commerce. In this paper, the characteristics of social commerce are limited as five independent variables, however, if an additional study is proceeded with more various independent variables, more in-depth study results will be derived. In addition, this research targets social commerce service providers and the users, however, in the consideration of the fact that social commerce is a two-sided market, drawing CSF through an analysis of perception gap between social commerce service providers and its advertisement clients would be worth to be dealt with in a follow-up study.