• Title/Summary/Keyword: Adoption Intentions

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The Influence of IoT Technological Characteristics on Expected Achievement and Adoption Intention of SCM: On the Perspectives of Chinese Physical Supply Chain and Distribution Industry (사물인터넷(IoT) 기술특성이 SCM 기대성과 및 도입의도에 미치는 영향에 관한 연구: 중국 물류공급망 및 유통업체를 대상으로)

  • Shang Meng;Yong Ho Shin;Chul Woo Lee;Jun Ho Mun
    • Information Systems Review
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    • v.19 no.3
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    • pp.1-21
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    • 2017
  • The Internet of Things (IoT) analysis aims to verify the technical characteristics, performance expectations, and adoption intentions of IoT. This work refers to IoT data from foreign and domestic publications and websites as well as aims to benefit related organizations by referring to reports from agencies. The literature review summarizes the relevant theories and background of the unified theory of acceptance and use of technology. The SPSS 22.0 software and structural equation models (smart PLS 2.0) are used in the data analysis. Technical statistics analysis, reliability analysis, validity analysis, structural equation models, and statistical methods are employed to test the research hypotheses, that is, the technical characteristics of IoT will have positive effects on its performance expectations. This study introduces the characteristics and expected performance of IoT to present relevant IoT guidelines for companies that aim to adopt such technology.

An Analysis of the Roles of Experience in Information System Continuance (정보시스템의 지속적 사용에서 경험의 역할에 대한 분석)

  • Lee, Woong-Kyu
    • Asia pacific journal of information systems
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    • v.21 no.4
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    • pp.45-62
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    • 2011
  • The notion of information systems (IS) continuance has recently emerged as one of the most important research issues in the field of IS. A great deal of research has been conducted thus far on the basis of theories adapted from various disciplines including consumer behaviors and social psychology, in addition to theories regarding information technology (IT) acceptance. This previous body of knowledge provides a robust research framework that can already account for the determination of IS continuance; however, this research points to other, thus-far-unelucidated determinant factors such as habit, which were not included in traditional IT acceptance frameworks, and also re-emphasizes the importance of emotion-related constructs such as satisfaction in addition to conscious intention with rational beliefs such as usefulness. Experiences should also be considered one of the most important factors determining the characteristics of information system (IS) continuance and the features distinct from those determining IS acceptance, because more experienced users may have more opportunities for IS use, which would allow them more frequent use than would be available to less experienced or non-experienced users. Interestingly, experience has dual features that may contradictorily influence IS use. On one hand, attitudes predicated on direct experience have been shown to predict behavior better than attitudes from indirect experience or without experience; as more information is available, direct experience may render IS use a more salient behavior, and may also make IS use more accessible via memory. Therefore, experience may serve to intensify the relationship between IS use and conscious intention with evaluations, On the other hand, experience may culminate in the formation of habits: greater experience may also imply more frequent performance of the behavior, which may lead to the formation of habits, Hence, like experience, users' activation of an IS may be more dependent on habit-that is, unconscious automatic use without deliberation regarding the IS-and less dependent on conscious intentions, Furthermore, experiences can provide basic information necessary for satisfaction with the use of a specific IS, thus spurring the formation of both conscious intentions and unconscious habits, Whereas IT adoption Is a one-time decision, IS continuance may be a series of users' decisions and evaluations based on satisfaction with IS use. Moreover. habits also cannot be formed without satisfaction, even when a behavior is carried out repeatedly. Thus, experiences also play a critical role in satisfaction, as satisfaction is the consequence of direct experiences of actual behaviors. In particular, emotional experiences such as enjoyment can become as influential on IS use as are utilitarian experiences such as usefulness; this is especially true in light of the modern increase in membership-based hedonic systems - including online games, web-based social network services (SNS), blogs, and portals-all of which attempt to provide users with self-fulfilling value. Therefore, in order to understand more clearly the role of experiences in IS continuance, analysis must be conducted under a research framework that includes intentions, habits, and satisfaction, as experience may not only have duration-based moderating effects on the relationship between both intention and habit and the activation of IS use, but may also have content-based positive effects on satisfaction. This is consistent with the basic assumptions regarding the determining factors in IS continuance as suggested by Oritz de Guinea and Markus: consciousness, emotion, and habit. The principal objective of this study was to explore and assess the effects of experiences in IS continuance, with special consideration given to conscious intentions and unconscious habits, as well as satisfaction. IN service of this goal, along with a review of the relevant literature regarding the effects of experiences and habit on continuous IS use, this study suggested a research model that represents the roles of experience: its moderating role in the relationships of IS continuance with both conscious intention and unconscious habit, and its antecedent role in the development of satisfaction. For the validation of this research model. Korean university student users of 'Cyworld', one of the most influential social network services in South Korea, were surveyed, and the data were analyzed via partial least square (PLS) analysis to assess the implications of this study. In result most hypotheses in our research model were statistically supported with the exception of one. Although one hypothesis was not supported, the study's findings provide us with some important implications. First the role of experience in IS continuance differs from its role in IS acceptance. Second, the use of IS was explained by the dynamic balance between habit and intention. Third, the importance of satisfaction was confirmed from the perspective of IS continuance with experience.

Following Firms on Twitter: Determinants of Continuance and Word-of-Mouth Intentions (트위터를 통한 기업과 고객과의 소통: 지속적인 팔로윙과 구전 의도에 영향을 미치는 요인에 대한 연구)

  • Kim, Hongki;Son, Jai-Yeol;Suh, Kil-Soo
    • Asia pacific journal of information systems
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    • v.22 no.3
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    • pp.1-27
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    • 2012
  • Many companies have recently become interested in using social networking sites such as Twitter and Facebook as a new channel to communicate with their customers. For example, companies often offer "special deals" (e.g., coupons, discounts, free samples, etc.) to their customers who participate in promotions or events on social networking sites. Companies often make important announcements on their products or services on social networking sites. By doing so, customers are encouraged to continue to have relationships with companies on social networking sites and to recommend the companies' presence on social networking sites to other potential customers. Moreover, customers who keep close relationships with companies on social networking sites often provide the companies with valuable suggestions and feedback. For instance, Starbucks has more than 2 million followers on Twitter, and often receive suggestions and feedback for their product offerings and services from the followers on Twitter. Although companies realize potential benefits of using social networking sites as a channel to communicate with their customers, it appears that many companies have difficulty forging long-lasting relationships with customers on social networking sites. It is often reported that many customers who had followed companies on Twitter later stopped following them for various reasons. Therefore, it is an important issue to understand what motivates customers to continue to keep relationships with companies on social networking sites. Nonetheless, due attention has yet paid to this issue until recently. This study intends to contribute to our understanding on customers' intention to continue to follow companies on Twitter and to spread positive word-of-mouth about companies on Twitter. Specifically, we identify seven potential factors that customers perceive as important in evaluating their experience with companies on Twitter. The seven factors include similarity, receptivity, interactivity, ubiquitous connectivity, enjoyment, usefulness and transparency. We posit that the seven perception factors can affect the two types of satisfaction, emotional and cognitive, which can in turn influence on customers' intention to follow companies on Twitter and to spread positive word-of-mouth about companies on Twitter. Research hypotheses formulated in this study were tested with data collected from a questionnaire survey administered to customers who had been following companies on Twitter. The data was analyzed with the partial least square (PLS) approach to structural equation modeling. The results of data analysis based on 177 usable responses were generally supportive of our predictions for the effects of the seven factors identified and the two types of satisfaction. In particular, out results suggest that emotional satisfaction was strongly influenced by perceived similarity, perceived receptivity, perceived enjoyment, and perceived transparency. Cognitive satisfaction was significantly influenced by perceived similarity, perceived interactivity, perceived enjoyment, and perceived transparency. While cognitive satisfaction was found to have significant and positive effects on both continued following and word-of-mouth intentions, emotional satisfaction had a significant and positive effect only on word-of-mouth intention.

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A Study on the Policy Direction for the Introduction and Activation of Smart Factories by Korean SMEs (우리나라 중소기업의 스마트 팩토리 수용 및 활성화 제고를 위한 정책 방향에 대한 연구)

  • Lee, Yong-Gyu;Park, Chan-Kwon
    • Korean small business review
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    • v.42 no.4
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    • pp.251-283
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    • 2020
  • The purpose of this study is to provide assistance to the establishment of related policies to improve the level of acceptance and use of smart factories for SMEs in Korea. To this end, the Unified Technology Acceptance Model (UTAUT) was extended to select additional factors that could affect the intention to accept technology, and to demonstrate this. To achieve the research objective, a questionnaire composed of 7-point Likert scales was prepared, and a survey was conducted for manufacturing-related companies. A total of 136 questionnaires were used for statistical processing. As a result of the hypothesis test, performance expectation and social influence had a positive (+) positive effect on voluntary use, but effort expectation and promotion conditions did not have a significant effect. As an extension factor, the network effect and organizational characteristics had a positive (+) effect, and the innovation resistance had a negative effect (-), but the perceived risk had no significant effect. When the size of the company is large, the perceived risk and innovation resistance are low, and the level of influencing factors for veterinary intentions, veterinary intentions, and veterinary behaviors are excluded. Through this study, factors that could have a positive and negative effect on the adoption (reduction) of smart factory-related technologies were identified and factors to be improved and factors to be reduced were suggested. As a result, this study suggests that smart factory-related technologies should be accepted.

Factors Affecting Elderly People's Intention to Use of Digital Wealth Management Services (고령자들의 디지털 자산관리 서비스 이용의도에 영향을 미치는 특성 및 요인)

  • Kwak, Jae-Hyuk;Dong, Hak-Lim
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.411-422
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    • 2022
  • The purpose of this study was to identify factors that affect the characteristics and intentions of the elderly to use digital wealth management services. The subjects of this study were 312 elderly people over 50 years old. Based on the Value-based Adoption Model(VAM), the research model added price value, social influence, and perceived risk as research variables. As a result of empirical analysis, it was found that usefulness, enjoyment, price value, and social influence all had a significant positive (+) effect on perceived value. It was found that technicality had a significant negative (-) effect. On the other hand, no significant effect relationship was tested on perceived risk. The perceived value had a significant positive (+) effect on the intention to use. This study was meaningful in the academic research that it applied a research model that reflected the characteristics of the elderly who were not treated as mainstream in the technology acceptance model for digital wealth management services. In addition, it provided practical implications for providers' marketing strategies and government/public institution policy establishment to increase the use of digital wealth management services for the elderly.

A Study on Chinese User Resistance of Mobile Banking (모바일 뱅킹에 대한 중국 사용자 저항에 관한 연구)

  • Cheng, Shuang;Lee, Sang-Joon;Lee, Kyeong-Rak
    • Journal of Digital Convergence
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    • v.12 no.1
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    • pp.105-114
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    • 2014
  • There are many studies on the adoption intentions for mobile banking. But there are no apparent effect on the popularity of it. This is so because the users have resistance to innovation on Mobile Banking. Therefore, it is necessary to identify empirically the problem of user resistance. In this paper, we identified hindrance factors of mobile banking with previous papers. And then we conducted empirical study by survey reply from undergraduates and graduate students in China. The results of this study are as follows. Social Influence and Perceived Complexity have positive effect on Perceived Risk, and Trust has negative effect on Perceived Risk. Perceived Security and Perceived Protection of Private information have no effect on Perceived Risk. Perceived Risk has effect on User Resistance. The significance of this paper is that financial institutions and telecommunications companies of China could potentially establish new and more accurate strategies based on the resistance factors identified in this paper to gain more profits.

A study on acceptance of smart fashion products - An empirical test of an extended technology acceptance model - (스마트패션제품 수용에 관한 연구 - 확장된 기술수용모형 실증연구 -)

  • Jeong, So Won;Roh, Jung-Sim
    • The Research Journal of the Costume Culture
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    • v.24 no.2
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    • pp.263-272
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    • 2016
  • Using the extended technology acceptance model (TAM), the study aimed to understand consumers' adoption process for smart fashion products. The research model was designed to examine the impacts of perceived ease of use and usefulness on attitude and behavior intention toward smart fashion products based on the technology innovativeness, enjoyment, and subjective norm variables. An online survey was conducted on consumers by employing a marketing research company. A total of 230 useable responses were obtained. Confirmatory Factor Analysis (CFA) was performed to test the measurement model. The proposed hypotheses were tested by employing the Structural Equation Model (SEM). The results found a positive impact of perceived ease of use on usefulness and a positive influence of usefulness on attitude and behavior intention. Attitude had a positive effect on behavior intention. In addition, technology innovativeness was found to have a positive influence on perceived ease of use and enjoyment had a positive influence on usefulness and attitude. Subjective norm predicted behavior intention. The findings of the study contribute to smart fashion literature and have important implications for smart fashion product developers and marketers, as they offer insights into the important role of technology innovativeness, enjoyment, and subjective norms perceived by consumers in improving attitudes and behavior intentions toward the products. Limitations and future research directions are discussed.

User Acceptance of Virtual Personal Assistant Devices : An Extended Perspective of Perceived Value (가상개인비서 기기의 소비자 수용에 관한 연구 : 사용자의 지각된 가치를 중심으로)

  • Yang, HeeTae
    • The Journal of the Korea Contents Association
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    • v.17 no.10
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    • pp.179-189
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    • 2017
  • The purpose of this paper is to develop a comprehensive research model that can explain potential customers' intentions to adopt and use VPA(Virtual Personal Assistants) devices. This study proposes and validates a new theoretical model that extends the perceived value theory. Partial least squares analysis is employed to test the research model and corresponding hypotheses on data collected from 313 survey samples. Perceived value, perceived usefulness, perceived enjoyment are important factors affecting the adoption of VPA devices. To increase potential users' intention to use, VPA device manufacturers should not only focus on developing utilitarian functions but also fun features based on open development echo-system. This study is the important empirical attempt to examine user acceptance of VPA devices, as most of the prior literature has concerned analysis of usage patterns or technical features.

Understanding Individual's Switching Intentions to Cloud Computing Service: Based on the Social Exchange Theory (개인 클라우드 컴퓨팅 서비스로의 전환의도에 관한 연구: 사회교환이론을 중심으로)

  • Shin, Seonjin;Park, Sung-Uk
    • Journal of Korea Technology Innovation Society
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    • v.18 no.1
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    • pp.176-203
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    • 2015
  • While the importance of adopting cloud computing service has been emerged, comparatively little research has been conducted on examining factors of an individual user's intention to switch toward cloud computing service. Hereafter, this study presents and empirically tests users' intention to switch to cloud computing. Our model posits that the characteristics of cloud computing such as effectiveness, economics, accessability, switching cost, security concern, and satisfaction toward existing IT service to cloud service affect perceived value, which in turn, influences intention to switch. An experimental study using student subjects provided empirical validation for our proposed model. Survey data from 204 respondents was used to test the model using partial least square analysis. As the result of the analysis, five hypotheses out of seven hypotheses were supported. According to our results, among the characteristics of cloud computing, effectiveness, economics, switching cost, and security concern were found to have significant impact on users' intention to switch that mediated by perceived value. Based on our research findings, we hope that this research will stimulate researchers' interest in the emerging area of cloud computing adoption.

An Empirical Study on Intentions to Use of Smart TV (스마트 TV 이용의도에 관한 실증 연구)

  • Lee, Dong-Gun;Lee, Sang-Joon;Choi, Beom-Jin
    • Journal of Digital Convergence
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    • v.10 no.4
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    • pp.107-118
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    • 2012
  • Smart TV is expected to take the center stage of the recent "smartization" trend in IT and consumer electronics as it performs a hub for various smart IT devices, such as smart phone, smart pad, PC, etc. It is distinct from traditional TVs or even IPTVs in the sense that it provides immersive and interactive experiences via apps downloaded through TV app store. Smart TV could serve as a new intermediary device between other smart devices and the Internet. While it started experiencing a rapid growth, little research has been conducted to understand this emerging technology in terms of its user acceptance and adoption by users. The current research attempts to fill the gap in the field by examining factors and processes for this new technology to be adopted by users. This paper draws on theories of IT acceptance and use, such as the "Unified Theory of Acceptance and Use of Technology", to investigate factors affecting "intention to use" of smart TV. The proposed research model is analyzed using the structural equation modeling approach. Findings show that such factors as innovativeness, switching cost, switching benefit, service interface, and user interface affect users' intention to use smart TV, through effort expectation, performance expectation, and social influence. Theoretical and managerial implications are discussed.