• Title/Summary/Keyword: Adopter Type

Search Result 7, Processing Time 0.019 seconds

The Impact of Adopter Type on IT Behavior (사용자 유형에 따른 정보기술 행동)

  • Choi Hun
    • The Journal of the Korea Contents Association
    • /
    • v.6 no.8
    • /
    • pp.85-93
    • /
    • 2006
  • Although the study in If behavior field has recently increased, only few studies have focused on the moderating effect of adopter type on the post adoption behavior The purpose of this study is to verify the post-adoption behavior depending on adopter types in the mobile Internet domains. This study proposed a post adoption model based on prior continuance model. This theoretical model was verified empirically by conducting web surveys and multi group analysis. Based on the survey data, we classified users into continuer and discontinuer. This paper ends with theoretical and managerial implications of the study results, as well as limitations and future research directions.

  • PDF

Exploring the Roles of User Resistance and Social Influences on Smartphone Acceptance and Continuous Usage (스마트폰 채택 및 지속사용에 있어 사용자 저항과 사회적 영향력의 역할에 대한 탐색연구)

  • Choi, Sae Sol;Yoo, Jae Heung
    • Journal of Information Technology Applications and Management
    • /
    • v.19 no.4
    • /
    • pp.41-59
    • /
    • 2012
  • This study examines the roles of user resistance and social influences on the acceptance and continuous usage of smartphones at different stages of adoption. The respondents were classified into three groups according to their innovation adoption stage : non-user group, the potential user group and the trial user group. Theories relevant to user resistance, social influences including normative social influences and informational social influences, as well as user adoption and continuance behavior were reviewed and integrated into our research model. In order to verify the proposed structured equation model, we conducted an online survey by targeting mobile phone users and collected data to be analyzed through a partial least squares (PLS) test. This study tested whether there exists differences in the effects of user resistance and different types of social influence on user's adoption or continuance intetion among these three groups. The results showed that user resistance exists in all adopter groups and that it has significant negative influences on intention to use a smartphone. The findings also revealed that user resistance can be enhanced or resolved by two types of social influence; informational social influence resolves user resistance regardless of the adopter category, while normative social influence enhances the user resistance of potential users. Furthermore, the findings show that social influence regardless of the type positively affects user intention. Several theoretic and practical implications pertaining to the results are discussed.

A Study for designing the mobile convergence device : Focusing on Threshold Management of users (모바일 컨버전스 디바이스의 디자인 Guideline: 사용 임계값 관리 (Threshold Management)를 중심으로)

  • Park, Ji-Young
    • 한국HCI학회:학술대회논문집
    • /
    • 2009.02a
    • /
    • pp.769-774
    • /
    • 2009
  • 디지털 기술의 발달과 급진적인 IT 산업의 발전은 환경적 인프라의 통합 및 구축을 촉진시켰으며, 이를 기반으로 한 모바일 기기들의 기술적 통합 (Technology Convergence)을 통하여 테크노매드 (Technomad)와 같은 이동성향을 가진 사용자들이 등장하기 시작하였다. 모바일 컨버전스 디바이스에 대한 사용자들의 니즈 (Needs)는 점차 증가추세를 보이고 있으나, 모바일 컨버전스 디바이스의 수요는 캐즘을 넘지 못하여 시장에서 성공적으로 진입하지 못하고 있는 실정이다. 모바일 컨버전스 디바이스를 통해서 얻을 수 있는 디지털 서비스의 구축이 미비한 부분도 있기는 하지만, 만족스럽지 못한 사용성이나, 기기의 도메인적 특성의 불명확함은 기술이나 성능의 수용 민감도가 높은 선각수용자 (Early Adopter)들의 사용에서만 그치게 하는 등의 한계점을 가지고 있다. 이에 본 연구는 모바일 컨버전스 디바이스의 개념과 도메인적 특성을 조사하고, 이를 통하여 사용 임계값 (Threshold)이 매스유저 (Mass User)가 모바일 컨버전스 디바이스를 사용하는데 진입장벽의 원인으로 작용하는 것을 발견하였다. 이러한 사용 임계값 (Threshold)이 실제 태스크 (Task)수행 시 미치는 영향을 파악하기 위하여 휴리스틱과 선각수용자 (Early Adopter)의 웹 기반 조사를 실시하였고, 사용 임계값 (Threshold)의 영향으로 제대로 사용이 이루어지지 않는 태스크 타입 (Task Type)에 따라 시간적, 물리적 사용 임계값 관리 (Threshold Management)가 필요함을 발견하였다. 이를 개선하기 위해 실제 사용자들의 사용을 FGI (Focused Group Interview) 및 Contextual Inquiry 등의 정성적인 사용자 조사방법을 실시하여, 사용자에게 모바일 컨버전스 디바이스를 통하여 만족스런 사용성 및 경험을 제공하기 위해서는 시간적, 물리적, 시야적 사용 임계값 관리 (Threshold Management)를 개선 해야 함을 밝혀내고 결론적으로 이에 대한 가이드라인을 도출하였다.

  • PDF

Factors for the Intra-organizational Diffusion of Big Data Systems (조직 내 빅데이터 시스템 확산에 영향을 주는 요인에 대한 연구)

  • Park, Seungkwan;Kim, Cheong
    • Journal of Information Technology Services
    • /
    • v.18 no.2
    • /
    • pp.97-121
    • /
    • 2019
  • In this paper, factors affecting intra-organizational diffusion of Big Data systems from the perspective of the Big Data system vendors have been analyzed. In particular, the theory of resistance against innovation that exists in some form before the adoption or rejection of innovation has been focused on. In order to do that, the resistance has been divided into three categories : postponement, rejection and opposition. The variables affecting each type are also divided into four independent variables : perceived risk, innovation characteristics, user attributes, and organizational attributes. As a result of the survey, it was confirmed that the influences of each variable are different according to the type of resistance. As the strength of the resistance was increased, the influence of the trialability was increased as well. As the strength of the resistance was decreased, the satisfaction with the existing system became more influential on the resistance. The time risk and the satisfaction with the existing system were found to affect all types of resistance. From the vendor's point of view, strategic implications are presented in terms of marketing or system development for diffusion, depending on the degree of resistance of the adopter.

Diffusion or confusion of innovation - Smart clothing potential adopters' perspectives - (혁신의 확산 혹은 혼란 - 스마트 의류 잠재적 채택자 관점 -)

  • Lee, Kyu-Hye;Ju, Naan
    • The Research Journal of the Costume Culture
    • /
    • v.26 no.2
    • /
    • pp.157-171
    • /
    • 2018
  • As the next generation of smartphone and tablet computers, wearable devices are currently being developed and available in market in various forms. Smart clothing is a wearable device that holds the greatest potential for future development but low in market penetration. This study was designed to identify factors that influence adoption and diffusion of smart clothing. In-depth interviews with potential consumers who were knowledgeable about and interested in smart clothing were conducted. A semantic network analysis method was used. The results showed that consumers perceived smart clothing as a garment rather than as a type of wearable device and had a positive perception of smart apparel as more convenient and advanced than functional apparel. At the same time, however, consumers had a negative perception of smart clothing as unnecessary, ugly, and injurious to health. Consumers also worried that wearing smart apparel over long periods of time would negatively impact their health. Factors affecting resistance to smart apparel included low utility, perceived risk, and lack of aesthetic completeness. Usefulness and convenience were factors that affected the acceptance of smart clothing. The innovativeness of the product was more influential than consumer innovativeness in the process of adoption and diffusion of smart clothing.

Applications of Innovation Adoption and Diffusion Theory to Demand Estimation for Communications and Media Converging (DMB) Services (혁신채택 및 확산이론의 통신방송융합(위성DMB) 서비스 수요추정 응용)

  • Sawng Yeong-Wha;Han Hyun-Soo
    • Korean Management Science Review
    • /
    • v.22 no.1
    • /
    • pp.179-197
    • /
    • 2005
  • This study examines market acceptance for DMB service, one of the touted new business models in Korea's next-generation mobile communications service market, using adoption end diffusion of innovation as the theoretical framework. Market acceptance for DMB service was assessed by predicting the demand for the service using the Bass model, and the demand variability over time was then analyzed by integrating the innovation adoption model proposed by Rogers (2003). In our estimation of the Bass model, we derived the coefficient of innovation and coefficient of imitation, using actual diffusion data from the mobile telephone service market. The maximum number of subscribers was estimated based on the result of a survey on satellite DMB service. Furthermore, to test the difference in diffusion pattern between mobile phone service and satellite DMB service, we reorganized the demand data along the diffusion timeline according to Rogers' innovation adoption model, using the responses by survey subjects concerning their respective projected time of adoption. The comparison of the two demand prediction models revealed that diffusion for both took place forming a classical S-curve. Concerning variability in demand for DMB service, our findings, much in agreement with Rogers' view, indicated that demand was highly variable over time and depending on the adopter group. In distinguishing adopters into different groups by time of adoption of innovation, we found that income and lifestyle (opinion leadership, novelty seeking tendency and independent decision-making) were variables with measurable impact. Among the managerial variables, price of reception device, contents type, subscription fees were the variables resulting in statistically significant differences. This study, as an attempt to measure the market acceptance for satellite DMB service, a leading next-generation mobile communications service product, stands out from related studies in that it estimates the nature and level of acceptance for specific customer categories, using theories of innovation adoption and diffusion and based on the result of a survey conducted through one-to-one interviews. The authors of this paper believe that the theoretical framework elaborated in this study and its findings can be fruitfully reused in future attempts to predict demand for new mobile communications service products.

Electronic Word-of-Mouth in B2C Virtual Communities: An Empirical Study from CTrip.com (B2C허의사구중적전자구비(B2C虚拟社区中的电子口碑): 관우휴정려유망적실증연구(关于携程旅游网的实证研究))

  • Li, Guoxin;Elliot, Statia;Choi, Chris
    • Journal of Global Scholars of Marketing Science
    • /
    • v.20 no.3
    • /
    • pp.262-268
    • /
    • 2010
  • Virtual communities (VCs) have developed rapidly, with more and more people participating in them to exchange information and opinions. A virtual community is a group of people who may or may not meet one another face to face, and who exchange words and ideas through the mediation of computer bulletin boards and networks. A business-to-consumer virtual community (B2CVC) is a commercial group that creates a trustworthy environment intended to motivate consumers to be more willing to buy from an online store. B2CVCs create a social atmosphere through information contribution such as recommendations, reviews, and ratings of buyers and sellers. Although the importance of B2CVCs has been recognized, few studies have been conducted to examine members' word-of-mouth behavior within these communities. This study proposes a model of involvement, statistics, trust, "stickiness," and word-of-mouth in a B2CVC and explores the relationships among these elements based on empirical data. The objectives are threefold: (i) to empirically test a B2CVC model that integrates measures of beliefs, attitudes, and behaviors; (ii) to better understand the nature of these relationships, specifically through word-of-mouth as a measure of revenue generation; and (iii) to better understand the role of stickiness of B2CVC in CRM marketing. The model incorporates three key elements concerning community members: (i) their beliefs, measured in terms of their involvement assessment; (ii) their attitudes, measured in terms of their satisfaction and trust; and, (iii) their behavior, measured in terms of site stickiness and their word-of-mouth. Involvement is considered the motivation for consumers to participate in a virtual community. For B2CVC members, information searching and posting have been proposed as the main purpose for their involvement. Satisfaction has been reviewed as an important indicator of a member's overall community evaluation, and conceptualized by different levels of member interactions with their VC. The formation and expansion of a VC depends on the willingness of members to share information and services. Researchers have found that trust is a core component facilitating the anonymous interaction in VCs and e-commerce, and therefore trust-building in VCs has been a common research topic. It is clear that the success of a B2CVC depends on the stickiness of its members to enhance purchasing potential. Opinions communicated and information exchanged between members may represent a type of written word-of-mouth. Therefore, word-of-mouth is one of the primary factors driving the diffusion of B2CVCs across the Internet. Figure 1 presents the research model and hypotheses. The model was tested through the implementation of an online survey of CTrip Travel VC members. A total of 243 collected questionnaires was reduced to 204 usable questionnaires through an empirical process of data cleaning. The study's hypotheses examined the extent to which involvement, satisfaction, and trust influence B2CVC stickiness and members' word-of-mouth. Structural Equation Modeling tested the hypotheses in the analysis, and the structural model fit indices were within accepted thresholds: ${\chi}^2^$/df was 2.76, NFI was .904, IFI was .931, CFI was .930, and RMSEA was .017. Results indicated that involvement has a significant influence on satisfaction (p<0.001, ${\beta}$=0.809). The proportion of variance in satisfaction explained by members' involvement was over half (adjusted $R^2$=0.654), reflecting a strong association. The effect of involvement on trust was also statistically significant (p<0.001, ${\beta}$=0.751), with 57 percent of the variance in trust explained by involvement (adjusted $R^2$=0.563). When the construct "stickiness" was treated as a dependent variable, the proportion of variance explained by the variables of trust and satisfaction was relatively low (adjusted $R^2$=0.331). Satisfaction did have a significant influence on stickiness, with ${\beta}$=0.514. However, unexpectedly, the influence of trust was not even significant (p=0.231, t=1.197), rejecting that proposed hypothesis. The importance of stickiness in the model was more significant because of its effect on e-WOM with ${\beta}$=0.920 (p<0.001). Here, the measures of Stickiness explain over eighty of the variance in e-WOM (Adjusted $R^2$=0.846). Overall, the results of the study supported the hypothesized relationships between members' involvement in a B2CVC and their satisfaction with and trust of it. However, trust, as a traditional measure in behavioral models, has no significant influence on stickiness in the B2CVC environment. This study contributes to the growing body of literature on B2CVCs, specifically addressing gaps in the academic research by integrating measures of beliefs, attitudes, and behaviors in one model. The results provide additional insights to behavioral factors in a B2CVC environment, helping to sort out relationships between traditional measures and relatively new measures. For practitioners, the identification of factors, such as member involvement, that strongly influence B2CVC member satisfaction can help focus technological resources in key areas. Global e-marketers can develop marketing strategies directly targeting B2CVC members. In the global tourism business, they can target Chinese members of a B2CVC by providing special discounts for active community members or developing early adopter programs to encourage stickiness in the community. Future studies are called for, and more sophisticated modeling, to expand the measurement of B2CVC member behavior and to conduct experiments across industries, communities, and cultures.