• Title/Summary/Keyword: Attitude toward Providing Information

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Major Predictors of User's Continuance Intention to Provide information: In the Context of Online Community and Social Media

  • Kang, Jae-Jung;Kim, Yoo-Jung
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.2
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    • pp.113-122
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    • 2016
  • This study investigates how anticipated value(attainment value, intrinsic value, utility value, and reward value) and self-efficacy in providing information have an influence on continuance intention to provide information in the context of online community or social media. We propose a conceptual model for examining the framework for the effect of anticipated value on attitude toward providing information, and the effect of attitude toward providing information and self-efficacy in providing information on continuance intention to provide information. Proposed research model is empirically assessed using the survey data obtained from 221 respondents in Korea. Results show that attainment value and intrinsic value have a significant impact on attitude toward providing information, whereas utility value and reward value are found to be insignificant. In addition, attitude toward providing information and self-efficacy in providing information are positively and significantly related to continuance intention to provide information.

A Study on Recognition and Attitude of Residents in Seoul City about Air Environment (서울시민의 대기 환경에 관한 인식 및 태도)

  • 이정주;김신도;이경용
    • Journal of Environmental Health Sciences
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    • v.21 no.4
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    • pp.63-74
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    • 1995
  • The objective of this study were to identify the state of re. cognition and attitude of residents in Seoul city about air environment and to identify factors affecting attitude toward air environment. Study object was residents in Seoul city sampled by multistage random proportional sampling. Sample size was 0.0067%(500 persons) of total residents in Seoul city. The results were divided into two parts: (1) descriptive results of recognition and attitude toward air environment, (2) results of factor analysis to classify categories of attitudes toward air environment and regression analysis to identify factors affecting attitude toward air environment. Most of resident in Seoul city recognized that air environment in Seoul city was highly polluted and was not satisfactory. Experience of damage of air pollution was reported in about 70% of residents in Seoul city. More than 60% of residents in Seoul city had concern about air environment. Attitude toward air environment were classified into four categories using factor analysis: Necessity of intervention of local government for air environment conservation, Participation of residents and enterprises for air environment conservation, Optimistic attitude about air pollution, Preference of economy. Factors affecting the above attitudes were knowledge about air pollution, knowledge about policies and institutions related air environment conservation, concern about air environment, educational level, subjective assessment of air environment, sex, marital status. In conclusion this study suggested providing information of air environment in Seoul city to the residents and to educating residents for making positive attitude about air environment conservation.

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KOREAN STUDENTS' BEHAVIORAL CHANGE TOWARD NUCLEAR POWER GENERATION THROUGH EDUCATION

  • Han, Eun Ok;Kim, Jae Rok;Choi, Yoon Seok
    • Nuclear Engineering and Technology
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    • v.46 no.5
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    • pp.707-718
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    • 2014
  • As a result of conducting a 45 minute-long seminar on the principles, state of use, advantages, and disadvantages of nuclear power generation for Korean elementary, middle, and high school students, the levels of perception including the necessity (p<0.017), safety (p<0.000), information acquisition (p<0.000), and subjective knowledge (p<0.000), objective knowledge (p<0.000), attitude (p<0.000), and behavior (p<0.000) were all significantly higher. This indicates that education can be effective in promoting widespread social acceptance of nuclear power and its continued use. In order to induce behavior change toward positive judgments on nuclear power generation, it is necessary to focus on attitude improvement while providing the information in all areas related to the perception, knowledge, attitude, and behavior. Here, the positive message on the convenience and the safety of nuclear power generation should be highlighted.

A Mixed-Method Approach to Explore the Motivations and Constraints of Kiosks Consumers

  • Taehyee Um;Hyunji Kim;Jumi RHee;Namho Chung
    • Asia pacific journal of information systems
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    • v.32 no.1
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    • pp.92-124
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    • 2022
  • Providing services using kiosks is actively carried out between suppliers and consumers. These service processes have recently begun to play a dominant role in transactions. However, previous self-service technology (SST) studies or kiosks have not fully reflected the changing environment surrounding these different technologies. To cover the updated business environments, we combined qualitative and quantitative research methods. Through qualitative research and a review of previous studies, the variables emphasized as motivations and constraints for kiosks use and those that can be newly illuminated were selected for this study. We then applied the variables to the research model to assess their influence. In terms of the motivations for using kiosks, the results suggest that perceived usefulness and compatibility as service quality, forced use, and perceived service providers' efficiency as provider polices, absorptive capacity, and habit as an individual characteristic and social influence as a subjective norm have a significant effect on the attitude toward kiosks. In terms of constraints, difficult to use and need for interaction predicts the attitude toward kiosks. Attitude toward kiosks, perceived behavioral control, and social influence are directly related to the intention to use kiosks. Lastly, intention to use kiosks plays a significant role as an antecedent of revisit intention. Using these empirical results, we propose both academic and practical implications for future kiosks use.

Extending the Technology Acceptance Model for Smart Clothing (스마트 의류에 대한 혁신기술수용모델(TAM)의 확장)

  • Chae, Jin-Mie
    • Journal of the Korean Home Economics Association
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    • v.47 no.4
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    • pp.99-110
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    • 2009
  • The Technology Acceptance Model(TAM) proposed by Davis(1989) has been applied as a reliable and robust model in the study of user’s adoption of different technologies. However it is necessary to incorporate additional constructs to the original model in the quest for increased predictive power. This study investigate consumer’s acceptance of smart clothing applied by the extended TAM. Besides perceived ease of use and perceived usefulness, clothing involvement is included in the extended TAM. Data were collected from the adults over 20 years old living in Seoul and other metropolitan areas from March 2 to March 12, 2009. 815 copies of data were analyzed to examine a structural model and test research hypotheses using AMOS package. The study showed the extended TAM for smart clothing was validated empirically in predicting the individual’s acceptance of smart clothing and 5 hypotheses among 7 hypotheses were supported. Specifically, perceived ease of use, perceived usefulness, and clothing involvement were the factors affecting attitude toward smart clothing. Attitude toward smart clothing was influenced directly by perceived usefulness and clothing involvement but influenced indirectly by perceived ease of use. Acceptance intention toward smart clothing was influenced strongly by attitude. From a theoretical point of view, the study extended the TAM for smart clothing. Moreover, this study would be beneficial for those who would develop smart clothing by providing information about attitude and acceptance intention of smart clothing consumers.

Customer Attitude to Artificial Intelligence Features: Exploratory Study on Customer Reviews of AI Speakers (인공지능 속성에 대한 고객 태도 변화: AI 스피커 고객 리뷰 분석을 통한 탐색적 연구)

  • Lee, Hong Joo
    • Knowledge Management Research
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    • v.20 no.2
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    • pp.25-42
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    • 2019
  • AI speakers which are wireless speakers with smart features have released from many manufacturers and adopted by many customers. Though smart features including voice recognition, controlling connected devices and providing information are embedded in many mobile phones, AI speakers are sitting in home and has a role of the central en-tertainment and information provider. Many surveys have investigated the important factors to adopt AI speakers and influ-encing factors on satisfaction. Though most surveys on AI speakers are cross sectional, we can track customer attitude toward AI speakers longitudinally by analyzing customer reviews on AI speakers. However, there is not much research on the change of customer attitude toward AI speaker. Therefore, in this study, we try to grasp how the attitude of AI speaker changes with time by applying text mining-based analysis. We collected the customer reviews on Amazon Echo which has the highest share of AI speakers in the global market from Amazon.com. Since Amazon Echo already have two generations, we can analyze the characteristics of reviews and compare the attitude ac-cording to the adoption time. We identified all sub topics of customer reviews and specified the topics for smart features. And we analyzed how the share of topics varied with time and analyzed diverse meta data for comparisons. The proportions of the topics for general satisfaction and satisfaction on music were increasing while the proportions of the topics for music quality, speakers and wireless speakers were decreasing over time. Though the proportions of topics for smart fea-tures were similar according to time, the share of the topics in positive reviews and importance metrics were reduced in the 2nd generation of Amazon Echo. Even though smart features were mentioned similarly in the reviews, the influential effect on satisfac-tion were reduced over time and especially in the 2nd generation of Amazon Echo.

Investigating Brand Page Engagement in the SNS Marketing Context

  • So-Hyuna Lee;Hee-Woong Kim
    • Asia pacific journal of information systems
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    • v.30 no.2
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    • pp.284-307
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    • 2020
  • Customer engagement has been the main objective of brand companies in their marketing through social networking sites (SNS). Facebook is the most popular platform for SNS marketing, especially for companies that try to engage with their customers by providing various values through their brand pages (i.e., brand communities). The management of brand pages, therefore, becomes "the means" by which to achieve the result ("the end") of SNS marketing, and visitors to the brand pages (i.e., brand communities) then come to have a favorable attitude toward the brand. Based on a "means-ends" framework, this study examines the development of engagement between customers and brands in terms of brand page engagement as the means objective and brand attitude as the ends objective in the context of Facebook. This study further examines the antecedents and consequences of brand page engagement based on the customer value theory with two-stage data collection. This study contributes to the literature by explaining the roles and effects of brand page engagement in SNS marketing. This study further provides guidance to SNS providers and practitioners on SNS marketing strategies.

A Survey of Female College Students' Knowledge and Attitudes Toward Breastfeeding (여대생의 모유수유 지식 및 태도 조사)

  • Lee, Hyun-Kyo;Song, Yong;Kang, Nam-Mi
    • Korean Journal of Community Nutrition
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    • v.13 no.3
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    • pp.367-373
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    • 2008
  • Breastfeeding is an ideal approach for physical and emotional development of babies, as well as recovery of mothers. A breastfeeding education for female students seems to be an effective intervention to increase the Korean women breastfeeding rate. The purpose of this study was to evaluate their knowledge, attitudes, and other related breastfeeding variables for developing a design for a pre-parental breastfeeding educational information for Korean female students of childbearing age. The sample consisted of 205 Korean female college students, ranging in age from 20 to 25 years old. In this study, a self-administered questionnaire included 6 pages with close-ended multiple-choice questions, and included a cover page with 15 questions on demographic characteristics and personal experiences related to breastfeeding. Data analysis was done utilizing inferential statistics using SPSS 12.0 computer program. The findings indicated that breastfeeding education programs should focus on the practical aspect of attitudes toward. breastfeeding, and that educational information design should focus on the practical aspects of breastfeeding for all. levels of students' education by nurses. Therefore, education for female college students seems to be an effective intervention to increase breastfeeding rate. This study is useful for descriptions of educational activities to help female students develop positive attitudes to breastfeed, to help these students have confidence toward breast-feeding in future by providing correct information and practical techniques on breastfeeding.

A Study on Users' Resistance toward ERP in the Pre-adoption Context (ERP 도입 전 구성원의 저항)

  • Park, Jae-Sung;Cho, Yong-Soo;Koh, Joon
    • Asia pacific journal of information systems
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    • v.19 no.4
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    • pp.77-100
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    • 2009
  • Information Systems (IS) is an essential tool for any organizations. The last decade has seen an increasing body of knowledge on IS usage. Yet, IS often fails because of its misuse or non-use. In general, decisions regarding the selection of a system, which involve the evaluation of many IS vendors and an enormous initial investment, are made not through the consensus of employees but through the top-down decision making by top managers. In situations where the selected system does not satisfy the needs of the employees, the forced use of the selected IS will only result in their resistance to it. Many organizations have been either integrating dispersed legacy systems such as archipelago or adopting a new ERP (Enterprise Resource Planning) system to enhance employee efficiency. This study examines user resistance prior to the adoption of the selected IS or ERP system. As such, this study identifies the importance of managing organizational resistance that may appear in the pre-adoption context of an integrated IS or ERP system, explores key factors influencing user resistance, and investigates how prior experience with other integrated IS or ERP systems may change the relationship between the affecting factors and user resistance. This study focuses on organizational members' resistance and the affecting factors in the pre-adoption context of an integrated IS or ERP system rather than in the context of an ERP adoption itself or ERP post-adoption. Based on prior literature, this study proposes a research model that considers six key variables, including perceived benefit, system complexity, fitness with existing tasks, attitude toward change, the psychological reactance trait, and perceived IT competence. They are considered as independent variables affecting user resistance toward an integrated IS or ERP system. This study also introduces the concept of prior experience (i.e., whether a user has prior experience with an integrated IS or ERP system) as a moderating variable to examine the impact of perceived benefit and attitude toward change in user resistance. As such, we propose eight hypotheses with respect to the model. For the empirical validation of the hypotheses, we developed relevant instruments for each research variable based on prior literature and surveyed 95 professional researchers and the administrative staff of the Korea Photonics Technology Institute (KOPTI). We examined the organizational characteristics of KOPTI, the reasons behind their adoption of an ERP system, process changes caused by the introduction of the system, and employees' resistance/attitude toward the system at the time of the introduction. The results of the multiple regression analysis suggest that, among the six variables, perceived benefit, complexity, attitude toward change, and the psychological reactance trait significantly influence user resistance. These results further suggest that top management should manage the psychological states of their employees in order to minimize their resistance to the forced IS, even in the new system pre-adoption context. In addition, the moderating variable-prior experience was found to change the strength of the relationship between attitude toward change and system resistance. That is, the effect of attitude toward change in user resistance was significantly stronger in those with prior experience than those with no prior experience. This result implies that those with prior experience should be identified and provided with some type of attitude training or change management programs to minimize their resistance to the adoption of a system. This study contributes to the IS field by providing practical implications for IS practitioners. This study identifies system resistance stimuli of users, focusing on the pre-adoption context in a forced ERP system environment. We have empirically validated the proposed research model by examining several significant factors affecting user resistance against the adoption of an ERP system. In particular, we find a clear and significant role of the moderating variable, prior ERP usage experience, in the relationship between the affecting factors and user resistance. The results of the study suggest the importance of appropriately managing the factors that affect user resistance in organizations that plan to introduce a new ERP system or integrate legacy systems. Moreover, this study offers to practitioners several specific strategies (in particular, the categorization of users by their prior usage experience) for alleviating the resistant behaviors of users in the process of the ERP adoption before a system becomes available to them. Despite the valuable contributions of this study, there are also some limitations which will be discussed in this paper to make the study more complete and consistent.

The Study of Comparing Korean Consumers' Attitudes Toward Spotify and MelOn: Using Semantic Network Analysis

  • Namjae Cho;Bao Chen Liu;Giseob Yu
    • Journal of Information Technology Applications and Management
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    • v.30 no.5
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    • pp.1-19
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    • 2023
  • This study examines Korean users' attitudes and emotions toward Melon and Spotify, which lead the music streaming market. We used Text Mining, Semantic Network Analysis, TF-IDF, Centrality, CONCOR, and Word2Vec analysis. As a result of the study, MelOn was used in a user's daily life. Based on Melon's advantages of providing various contents, the advantage is judged to have considerable competitiveness beyond the limits of the streaming app. However, the MelOn users had negative emotions such as anger, repulsion, and pressure. On the contrary, in the case of Spotify, users were highly interested in the music content. In particular, interest in foreign music was high, and users were also interested in stock investment. In addition, positive emotions such as interest and pleasure were higher than MelOn users, which could be interpreted as providing attractive services to Korean users. While previous studies have mainly focused on technical or personal factors, this study focuses on consumer reactions (online reviews) according to corporate strategies, and this point is the differentiation from others.