• Title/Summary/Keyword: Continuance Intention to Provide Information

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Determinants of Users' Satisfaction and Behavioral Intention in Jirisan Trail of Korea (지리산숲길 이용객의 만족도와 행동의도 영향 요인 연구)

  • Lee, Hye Rin;Kim, Jae Jun;Cho, Eun Kyung;Kang, Min Ji;Han, Sang Yeol
    • Journal of Korean Society of Forest Science
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    • v.100 no.2
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    • pp.273-282
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    • 2011
  • This study was aimed to identify determinants of users' satisfaction and behavioral intention in Jirisan trail of Korea and provide effective trail building and management strategy. The result of survey by 645 trail users showed that four dimensions were derived from 14 satisfaction items, which were experiential resources, cost resources, information, amenities. Of these dimensions, experiential resources along trails including natural environment, the level of trail development, trail condition, cultural & tourist resources, kindness of residents had the greatest effect on overall satisfaction and behavioral intention, which included revisit intention, recommendation intention and continuance intention. According to analysis by detailed variables, natural environment, road signs, kindness of residents and related information significantly affected overall satisfaction and behavioral intention.

Understanding Over The Top(OTT) and Continuance Intention to Use OTT: Impacts of OTT Characteristics and Price Fairness (Over The Top(OTT)의 지속이용의도에 대한 이해: OTT 특성과 가격공정성의 영향)

  • Park, Hyunsun;Kim, Sanghyun;Sohn, Changyong
    • Knowledge Management Research
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    • v.23 no.1
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    • pp.203-225
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    • 2022
  • Competition in the OTT (Over the Top) service market is getting fiercer since global OTT services enter the domestic market and existing platforms are actively reorganized. As powerful competitors with ultra-luxurious content continue to enter the marke with diversity required by users, various efforts are required for OTT service platforms to prevent subscriber churn in order to generate continuous revenue. Thus, this study tried to examine the effect of OTT service characteristics on continuous use intention through an empirical analysis based on Expectation-Confirmation Model(ECM). A total of 386 responses were collected from individuals who have experience or are currently using OTT service and analyzed using AMOS 24. Results show that content curation, content richness, and audience activity had a significant effect on expectation confirmation. Also, expectation confirmation had a significant effect on perceived usefulness and user satisfaction while perceived usefulness had a significant effect on user satisfaction, significantly influencing continuous intention to use OTT. Finally, price fairness was found to strengthen all proposed relationships. The findings are expected to provide useful information for service and content development for subscriber retention, which has the most direct impact on revenue generation of OTT service providers.

Exploring Antecedents of Knowledge Sharing in Team-based Innovation Activities (팀 혁신활동을 위한 지식공유 활동 영향요인에 관한 연구)

  • Park, Jungi;Lee, Hyejung;Lee, Jungwoo
    • Journal of Information Technology Services
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    • v.12 no.3
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    • pp.253-271
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    • 2013
  • Innovation becomes norm rather than exception in today's business, and accordingly firms are working on how to make their employees to work smarter using information systems and technologies. Smart work demands virtual collaboration and cooperation among team members in different places and different time. Sharing of knowledge among team members in these innovative activities are critical in every sense for the successful performance. This study explores the antecedents of knowledge sharing among team members in team-based innovation activities. Five factors (pleasure of knowledge sharing, self-efficacy, management support, rewards, and system usage) are identified through extant review of literature and an instrument is adopted and validated from previous studies. The instrument is adminitered against 138 individuals in and across 54 teams in a telecommunication firm. Except self efficacy, all the paths in the proposed research model is confirmed with different levels of relational coefficients towards the levels of knowledge sharing and innovation activities in teams. Surprisingly, findings indicate that intrinsic pleasure of sharing is most critical than management support, organizational rewards or system usage. This study fills the research gap in team management. Findings provide important implications for managing teams in coming virtual and smart environment.

Impacts of Perceived Value and Trust on Intention to Continue Use of Individuals' Cloud Computing: The Perception of Value-based Adoption Model (클라우드 컴퓨팅의 지각된 가치와 신뢰가 지속적 사용의도에 미치는 영향: 가치기반수용모델을 기반으로)

  • Kim, Sanghyun;Park, Hyunsun;Kim, Bora
    • Journal of Digital Convergence
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    • v.19 no.1
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    • pp.77-88
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    • 2021
  • Cloud computing is getting a lot of attention by many people and businesses due to IT environmental changes such as the proliferation of smart devices, the increase of digital data, and the cost of IT resources. More individuals use personal cloud computing services for storing and managing information and data. Therefore, this study proposed determinants that are expected to have an influence on evaluating the value of cloud computing based on the value-based adoption model, examining the relationship between the continuous use intention of cloud computing. Results of the study show that usefulness, convenience of information access, extensibility had a positive impact on perceived value while privacy concerns and costs had a negative impact on perceived value. In addition, perceived value was found to have a significant effect on the intention to continue use of cloud computing. Finally, trust was found to have a significant effect on the perceived value and the intention to continue use of cloud computing. The findings are expected to provide useful information for understanding the factors that individual users consider important in the steadily growing cloud computing market.

Effect of Mobile Advertising Characteristics on the Continuity and Avoidance Intention of Mobile Advertisement (모바일 광고특성이 모바일광고 지속의도와 회피의도에 미치는 영향)

  • Moon, Jun-Hwan;Lee, Sin-Bok;Lee, Jae-Beom
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.1
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    • pp.237-252
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    • 2017
  • This study suggests a strategy to provide effective mobile advertising marketed by identifying factors affecting the use and avoidance intention of mobile advertising on SNS. This article has three main findings. First, each factor of usefulness, novelty and irritation have a significant effect on satisfaction and usefulness, clutter and irritation factor have a significant effect on dissatisfaction. Second, satisfaction and dissatisfaction of mobile advertising exist at the same time, and it is confirmed that they are considered when consumers use mobile advertising. The third finding is that effective mobile advertising avoids the boredom of ads through moderating irritation and should be used in fresh form with more useful information than other ads' form. The result of this study should be an important criterion that mobile advertising providers make advertisements that consumers want in the future.

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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