• Title/Summary/Keyword: User Effect

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Determinants of User Perceived Value and Its Influence on the Usage of Smartphone-based Mobile Commerce : Focusing on Service Ubiquity and User Control (스마트폰 기반 모바일거래 이용의 지각된 이용자 가치와 이의 결정요인 : 서비스 편재성과 이용자 통제성을 중심으로)

  • Choi, Sujeong
    • The Journal of Society for e-Business Studies
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    • v.18 no.4
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    • pp.273-299
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    • 2013
  • This study attempts to identify user perceived value as a major predictor of the usage of smartphone-based mobile commerce(m-commerce). More specifically, the study conceptualizes user perceived value of smartphone-based m-commerce along three dimensions, such as temporal, functional, and economic values. Moreover, this study proposes service ubiquity and user control that are uniquely defining characteristics of smartphone-based m-commerce and examines how the two variables are associated with the creation of user perceived value. Using a total of 164 data collected on users of smartphone-based mcommerce, we conducted PLS analysis to test the proposed model and hypotheses. The key findings are as follows : First, it has been found that the usage of smartphone-based m-commerce is determined by the three values, such as temporal, functional, and economic values. Particularly, the results show that temporal value is the most influential variable in predicting m-commerce use. Second, the results demonstrate that service ubiquity has a significant positive effect on temporal value, whereas it has no effect on functional value. Finally, user control is positively associated with temporal and functional values. Overall, the results indicate that service ubiquity and user control considerably increase temporal value, thereby accelerating the use of smartphone-based m-commerce. Discussions and implications of the results are provided.

An Analysis of the Moderating Effects of User Ability on the Acceptance of an Internet Shopping Mall (인터넷 쇼핑몰 수용에 있어 사용자 능력의 조절효과 분석)

  • Suh, Kun-Soo
    • Asia pacific journal of information systems
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    • v.18 no.4
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    • pp.27-55
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    • 2008
  • Due to the increasing and intensifying competition in the Internet shopping market, it has been recognized as very important to develop an effective policy and strategy for acquiring loyal customers. For this reason, web site designers need to know if a new Internet shopping mall(ISM) will be accepted. Researchers have been working on identifying factors for explaining and predicting user acceptance of an ISM. Some studies, however, revealed inconsistent findings on the antecedents of user acceptance of a website. Lack of consideration for individual differences in user ability is believed to be one of the key reasons for the mixed findings. The elaboration likelihood model (ELM) and several studies have suggested that individual differences in ability plays an moderating role on the relationship between the antecedents and user acceptance. Despite the critical role of user ability, little research has examined the role of user ability in the Internet shopping mall context. The purpose of this study is to develop a user acceptance model that consider the moderating role of user ability in the context of Internet shopping. This study was initiated to see the ability of the technology acceptance model(TAM) to explain the acceptance of a specific ISM. According to TAM. which is one of the most influential models for explaining user acceptance of IT, an intention to use IT is determined by usefulness and ease of use. Given that interaction between user and website takes place through web interface, the decisions to accept and continue using an ISM depend on these beliefs. However, TAM neglects to consider the fact that many users would not stick to an ISM until they trust it although they may think it useful and easy to use. The importance of trust for user acceptance of ISM has been raised by the relational views. The relational view emphasizes the trust-building process between the user and ISM, and user's trust on the website is a major determinant of user acceptance. The proposed model extends and integrates the TAM and relational views on user acceptance of ISM by incorporating usefulness, ease of use, and trust. User acceptance is defined as a user's intention to reuse a specific ISM. And user ability is introduced into the model as moderating variable. Here, the user ability is defined as a degree of experiences, knowledge and skills regarding Internet shopping sites. The research model proposes that the ease of use, usefulness and trust of ISM are key determinants of user acceptance. In addition, this paper hypothesizes that the effects of the antecedents(i.e., ease of use, usefulness, and trust) on user acceptance may differ among users. In particular, this paper proposes a moderating effect of a user's ability on the relationship between antecedents with user's intention to reuse. The research model with eleven hypotheses was derived and tested through a survey that involved 470 university students. For each research variable, this paper used measurement items recognized for reliability and widely used in previous research. We slightly modified some items proper to the research context. The reliability and validity of the research variables were tested using the Crobnach's alpha and internal consistency reliability (ICR) values, standard factor loadings of the confirmative factor analysis, and average variance extracted (AVE) values. A LISREL method was used to test the suitability of the research model and its relating six hypotheses. Key findings of the results are summarized in the following. First, TAM's two constructs, ease of use and usefulness directly affect user acceptance. In addition, ease of use indirectly influences user acceptance by affecting trust. This implies that users tend to trust a shopping site and visit repeatedly when they perceive a specific ISM easy to use. Accordingly, designing a shopping site that allows users to navigate with heuristic and minimal clicks for finding information and products within the site is important for improving the site's trust and acceptance. Usefulness, however, was not found to influence trust. Second, among the three belief constructs(ease of use, usefulness, and trust), trust was empirically supported as the most important determinants of user acceptance. This implies that users require trustworthiness from an Internet shopping site to be repeat visitors of an ISM. Providing a sense of safety and eliminating the anxiety of online shoppers in relation to privacy, security, delivery, and product returns are critically important conditions for acquiring repeat visitors. Hence, in addition to usefulness and ease of use as in TAM, trust should be a fundamental determinants of user acceptance in the context of internet shopping. Third, the user's ability on using an Internet shopping site played a moderating role. For users with low ability, ease of use was found to be a more important factors in deciding to reuse the shopping mall, whereas usefulness and trust had more effects on users with high ability. Applying the EML theory to these findings, we can suggest that experienced and knowledgeable ISM users tend to elaborate on such usefulness aspects as efficient and effective shopping performance and trust factors as ability, benevolence, integrity, and predictability of a shopping site before they become repeat visitors of the site. In contrast, novice users tend to rely on the low elaborating features, such as the perceived ease of use. The existence of moderating effects suggests the fact that different individuals evaluate an ISM from different perspectives. The expert users are more interested in the outcome of the visit(usefulness) and trustworthiness(trust) than those novice visitors. The latter evaluate the ISM in a more superficial manner focusing on the novelty of the site and on other instrumental beliefs(ease of use). This is consistent with the insights proposed by the Heuristic-Systematic model. According to the Heuristic-Systematic model. a users act on the principle of minimum effort. Thus, the user considers an ISM heuristically, focusing on those aspects that are easy to process and evaluate(ease of use). When the user has sufficient experience and skills, the user will change to systematic processing, where they will evaluate more complex aspects of the site(its usefulness and trustworthiness). This implies that an ISM has to provide a minimum level of ease of use to make it possible for a user to evaluate its usefulness and trustworthiness. Ease of use is a necessary but not sufficient condition for the acceptance and use of an ISM. Overall, the empirical results generally support the proposed model and identify the moderating effect of the effects of user ability. More detailed interpretations and implications of the findings are discussed. The limitations of this study are also discussed to provide directions for future research.

A study on the User Experience and Aggressive Action in Violent Video Game (폭력적 비디오게임의 사용자 경험과 공격행동성에 대한 연구)

  • Yun, Ju-Sung;Noh, Ghee-Young
    • The Journal of the Korea Contents Association
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    • v.15 no.11
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    • pp.215-226
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    • 2015
  • As violent video game is used based on active interaction and involvement of users, it is widely thought that it may have more effect on individual violence and aggressive action than existing violent videos. This study aimed to examine the effect of user experiences in the violent video game such as hostility, anger, arousal, enjoyment and identification on users' aggressive action. For this purpose, the first person FPS shooting game that consists of violent contents was employed to carry out playtest for 80 subjects with 40 male and 40 female university students. As a result, it was found that the user's arousal level, state anger, enjoyment and identification experience by the use of violent video game had an effect on aggressive action. Among factors that have aggressive action in the used of violent video game, besides emotion and arousal, the level of identification with a game character was found to be important effect factor. Hostility factor that was assumed to have effect on aggressive action was not significant, but enjoyment of game was proved to have effect on aggressive action of users.

The Importance of Social Intimacy as a Sufficient Condition for Anthropomorphism and Positive User Experience (의인화와 긍정적인 사용자 경험의 충분조건으로서 사회적 친밀감의 중요성)

  • Lee, Da-Young;Han, Kwang-Hee
    • Science of Emotion and Sensibility
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    • v.25 no.3
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    • pp.15-32
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    • 2022
  • This study seeks to clarify the mechanisms of anthropomorphism and positive user experience. This study adopts the "computers are social actors" (CASA) paradigm to verify the causal relationship between social response and anthropomorphism and correctly explicate this paradigm. The intimacy-forming and anthropomorphizing effects of deep self-disclosure in interpersonal relationships were replicated in relationships between humans and conversational agents to induce both social response and anthropomorphism. Then, the mediating effect of intimacy on the anthropomorphizing effect of deep self-disclosure was explored with psychological models that revealed the causal relationships between social connections, including intimacy and anthropomorphism. Furthermore, we explored how intimacy and anthropomorphism trigger positive user experiences. The results demonstrated that the deeper the self-disclosure depth was, the more intimate and humanly the agent was perceived and the more positive the user experience was. In addition, the effect of self-disclosure depth on anthropomorphism and positive user experience was completely mediated by intimacy. This means that when using a computer with interpersonal characteristics, people anthropomorphize it and have a positive experience because people react socially to objects with social cues. This study bridges the gap between the CASA paradigm and anthropomorphism research, suggesting the possibility of psychological explanations for the principle of human-computer interactions. In addition, it explicates the mechanism of anthropomorphism and positive user experience, emphasizing the importance of social response-that is, intimacy.

A study of influence factor on Mobile Game Heavy User - focused on Game User Properties (모바일 게임 중이용자 영향요인에 관한 연구 - 게임 이용자 속성을 중심으로)

  • Kim, Hye Bin;Park, Young Il
    • Journal of Digital Contents Society
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    • v.16 no.3
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    • pp.493-501
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    • 2015
  • This study is to observe the correlation between user properties and user behavior on the mobile game, one of the most prominent digital contents with the most mutual interaction. Among various factors affecting on behaviors of game users, the user properties itself was accentuated, and the effect of individual and psychological quality on the use of game was evaluated. The user properties were mainly categorized into five factors of "interpersonal relationship", "level of game skill", "inclination of innovation", "self-esteem", and "competitive spirit", and the use behavior of game was categorized mainly into two types - quantitative behavior of "amount of use (time of use, consumption cost)" and qualitative behavior of "perceived satisfaction level (perceived enjoyment, perceived service quality, and perceived price)". As a result of study, in general, as the user quality subjected in this study is stronger, the amount of use and satisfaction level are higher. This study is to observe what type of user qualities leads to the more use, consumption, and satisfaction level of game contents to contribute to the study about the use of conventional digital contents and heavy use.

User Bias Drift Social Recommendation Algorithm based on Metric Learning

  • Zhao, Jianli;Li, Tingting;Yang, Shangcheng;Li, Hao;Chai, Baobao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.12
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    • pp.3798-3814
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    • 2022
  • Social recommendation algorithm can alleviate data sparsity and cold start problems in recommendation system by integrated social information. Among them, matrix-based decomposition algorithms are the most widely used and studied. Such algorithms use dot product operations to calculate the similarity between users and items, which ignores user's potential preferences, reduces algorithms' recommendation accuracy. This deficiency can be avoided by a metric learning-based social recommendation algorithm, which learns the distance between user embedding vectors and item embedding vectors instead of vector dot-product operations. However, previous works provide no theoretical explanation for its plausibility. Moreover, most works focus on the indirect impact of social friends on user's preferences, ignoring the direct impact on user's rating preferences, which is the influence of user rating preferences. To solve these problems, this study proposes a user bias drift social recommendation algorithm based on metric learning (BDML). The main work of this paper is as follows: (1) the process of introducing metric learning in the social recommendation scenario is introduced in the form of equations, and explained the reason why metric learning can replace the click operation; (2) a new user bias is constructed to simultaneously model the impact of social relationships on user's ratings preferences and user's preferences; Experimental results on two datasets show that the BDML algorithm proposed in this study has better recommendation accuracy compared with other comparison algorithms, and will be able to guarantee the recommendation effect in a more sparse dataset.

Information Quality Satisfaction of Web Site User (웹 사이트 사용자의 정보품질 만족에 관한 연구)

  • Ham, Bong-Jin
    • The Journal of Society for e-Business Studies
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    • v.9 no.3
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    • pp.169-190
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    • 2004
  • This study involves the test of constructs for measuring the web site user expectation, perceived performance regarding IQ, expectation congruency, and satisfaction about influence overall satisfaction. The findings can be summarized as follows. First, Web-IQ expectation appeared to have a positive effect on Web-IQ perceived performance by expectation congruency and a positive effect on perceived performance by assimilation effect. Second, Web-IQ expectation did bot appear to have a negative effect on Web-IQ expectation congruency. Although that was rejected, it differs from established researches. Some prior Web-IQ expectations that approach to congruency after one's post Web-IQ expectation. Third, Web-IQ perceived performance appeared to have a positive effect on Web-IQ expectation congruency. Fourth, result that analyze about effect that congruency gets to Web-IQ satisfaction although Web-IQ expectation appeared to have a positive effect on overall satisfaction.

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UX Analysis based on TR and UTAUT of Sports Smart Wearable Devices

  • Seol, Suhwang;Ko, Daesun;Yeo, Insung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.8
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    • pp.4162-4179
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    • 2017
  • The main purpose of this research is to investigate relationships between the significant control factors on acceptance intention to User Experience (UX) sports smart wearable devices by applying Technology Readiness (TR) and Unified Theory of Technology (UTAUT). Research survey targeted on users of golf smart devices in Seoul. A total 534 questionnaires were collected and used for testing hypotheses. Methods to analyze the data included frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis, and structural equation modeling in accordance with the purpose of the study by using SPSS and AMOS. The results are as follows; First, positive TR had a significantly positive effect on social influence, effort expectancy, facilitating conditions, perceived enjoyment, performance expectancy. Second, negative TR had a significant negative effect on performance expectancy, social influence, facilitating conditions, perceived enjoyment. Third, TR had a no significantly effect on behavioral intention. Fourth, performance expectancy, perceived enjoyment and facilitating conditions had a significantly positive effect on behavioral intention. Fifth, behavioral intention had a significantly positive effect on use behavior. Thus it became crucial to identify the difference in acceptance intention models per each products are as follows. Positive TR of golf-related mobile application users has a positive effect on both technology acceptance belief and acceptance intention, whereas negative TR has no statistically significant effect on technology acceptance belief nor acceptance intention.

A Study on the Intention to Use ChatGPT Focusing on the Moderating Effect of the MZ Generation (MZ세대의 조절효과를 중심으로 한 ChatGPT의 사용의도에 관한 연구)

  • Yang-bum Jung;Jungmin Park;Hyoung-Yong Lee
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.111-127
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    • 2023
  • This study is a study on user perception of ChatGPT use. The goal of this study is to analyze the relationship between user policy expectations and user innovativeness on ChatGPT technology acceptance and intention to use using variables of TRA (Theory of Reasoned Action). The impact of policy expectations and user innovativeness on the intention to use by mediating usefulness and hedonic motivation, and the impact of subjective norms on the usefulness and intention to use were analyzed by dividing them into the MZ generation and the non-MZ generation. It was verified whether there was a moderating effect on the effect of age differences on usefulness by interacting with policy expectations. An online survey was conducted on 300 ChatGPT users using PLS (Partial Least Square) structural equations and SPSS Package, and statistical analysis was performed using PLS and SPSS. According to the analysis results, it was confirmed that the higher the initial user's innovativeness, the higher the intention to use ChatGPT. In addition, the moderating effect analysis comparing the differences between the MZ generation and the non-MZ generation showed that policy expectations had a negative effect on the usefulness of ChatGPT use.

GIS-based PM10 Concentration Real-time Service (GIS기반 PM10 미세먼지농도 실시간 서비스)

  • Yoon, Hoon Joo;Han, Gwang In;Cho, Sung Ho;Jung, Byung hyuk
    • Journal of Korean Society for Atmospheric Environment
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    • v.31 no.6
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    • pp.585-592
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    • 2015
  • In this study, by applying mobile based GIS and image analysis of particulate matter ($PM_{10}$) concentration in Seoul and Ulsan in Korea, to identify the user's location and also implemented the application to information exchange. It strengthened citizens' access to air quality information through the application and derived the expanded environment information sharing through real-time user participation. Through atmospheric concentrations image analysis, it showed a new environmental information construction possibility. It had the effect of expanding the information collecting through the local user participation on the limited information collected area which place is not yet constructed atmospheric monitoring network. Location-based particulate matter information service application provides a user location's $PM_{10}$ information from the 25 urban air monitoring network real-time database of the Ministry of Environment. Furthermore, if the user sent a picture of the atmosphere to the server, should match the image density values of the database and express on Seoul's maps through the IDW interpolation. And then a $PM_{10}$ concentration result is transmitted to user in real time.