A Model and Empirical Study on the User’s Continuance Intention in Online China Brand Communities Based on Customer-Perceived Benefits

Han, Min Chung; Wu, Jiacong; Wang, Yu; Hong, Mingying

doi:10.3390/joitmc4040046

Cited by 36 publications

(38 citation statements)

References 37 publications

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“…Products that are presumed to provide high functional benefits lead to utilitarian attitudes, while products with high perceived newness lead to hedonic attitudes [48]. Recent research has shown that consumers are affected by an initial emotional response when they are exposed to innovation [54,55], especially within the information and communications technologies (ICT) field.…”

Section: Product Stagementioning

confidence: 99%

Bridging the Gap in the Technology Commercialization Process: Using a Three-Stage Technology–Product–Market Model

et al. 2019

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This study proposes a new “three-stage technology–product–market” model to analyze the technology commercialization process. This model revises the technology acceptance model to more accurately consider the market potential of new technologies from a consumer perspective. This approach can be used to supplement developers’ own evaluations of technology. To test the model empirically, an online survey of 350 end users was conducted regarding their intention to purchase the “Wireless USB,” which uses “Zing” technology and was developed by the Electronics and Telecommunications Research Institute. The data was used to test the model using a structural equations approach. We indirectly confirmed the existence of gaps in the technology commercialization process by verifying the mediating effects of the productization stage. Results suggest that end users may not purchase a product, even if they perceive the technology to be innovative; the product purchase intention is significantly influenced by its perceived value. Therefore, developers must understand the concept of technology value for productization in order to refine a technology according to market demand.

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Section: Product Stagementioning

confidence: 99%

Bridging the Gap in the Technology Commercialization Process: Using a Three-Stage Technology–Product–Market Model

et al. 2019

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“…Numerous literatures on technology acceptance (Abu-Al-Aish & Love, 2013; Briz-Ponce and García-Peñalvo, 2015; Calisir et al., 2014; Davis et al., 1992; Davis, 1989; Hamid et al., 2016; Hess et al., 2014; Mou, Shin and Cohen, 2017a, 2017b; Padilla-Meléndez et al., 2013). , continuance intention (Almaghrabi et al., 2011; Amoroso and Chen, 2017; Han et al., 2018; Susanto et al., 2016; Tella and Olasina, 2014; Tiyar and Khoshsima, 2015), usability standards (Bahn et al., 2007; Quesenbery, 2005; Traynor, 2011), etc. have been reviewed to identify the key usability factors.…”

Section: Introductionmentioning

confidence: 99%

“…Continuance intention has been the subject of substantial theoretical developments (Rahman et al., 2017) such as IS continuance (Almaghrabi et al., 2011; Amoroso and Chen, 2017; Han et al., 2018; Susanto et al., 2016; Tella and Olasina, 2014; Tiyar and Khoshsima, 2015) and post-adoption usage (Jia et al., 2016; Ong and Lin, 2016). Continuance intention reflects post adoption behaviour and intention of continue using an information system (Limayem and Cheung, 2011).…”

Section: Introductionmentioning

confidence: 99%

Usability factors predicting continuance of intention to use cloud e-learning application

Wang

Ling

Lau

et al. 2019

Heliyon

143

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In this ever-progressive digital era, conventional e-learning methods have become inadequate to handle the requirements of upgraded learning processes especially in the higher education. E-learning adopting Cloud computing is able to transform e-learning into a flexible, shareable, content-reusable, and scalable learning methodology. Despite plentiful Cloud e-learning frameworks have been proposed across literature, limited researches have been conducted to study the usability factors predicting continuance intention to use Cloud e-learning applications. In this study, five usability factors namely Computer Self Efficacy (CSE), Enjoyment (E), Perceived Ease of Use (PEU), Perceived Usefulness (PU), and User Perception (UP) have been identified for factor analysis. All the five independent variables were hypothesized to be positively associated to a dependent variable namely Continuance Intention (CI). A survey was conducted on 170 IT students in one of the private universities in Malaysia. The students were given one trimester to experience the usability of Cloud e-Learning application. As an instrument to analyse the usability factors towards continuance intention of the application, a questionnaire consisting thirty questions was formulated and used. The collected data were analysed using SMARTPLS 3.0. The results obtained from this study observed that computer self-efficacy and enjoyment as intrinsic motivations significantly predict continuance intention, while perceived ease of use, perceived usefulness and user perception were insignificant. This outcome implies that computer self-efficacy and enjoyment significantly affect the willingness of students to continue using Cloud e-learning application in their studies. The discussions and implications of this study are vital for researchers and practitioners of educational technologies in higher education.

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“…In order to achieve better performance in a smart society, users should be recognized as having a changed and strengthened role, and reflected as subjects of the innovation system [7,9,11]. Social networking platforms such as Facebook and Twitter have helped users to establish personal networks.…”

Section: Aim Of the Studymentioning

confidence: 99%

Can User Innovation Grow a Firm? The Case of the Korean Smart Media Industry

Kim

Shin

2019

Electronics

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With the rapid development of information and communications technology (ICT), smart society has arrived. The emergence of smart media has changed the user’s role. Broader communication coverage, faster Internet speeds, and an expanding application market promote user participation. Therefore, the role of users in innovation has become more important than ever. In this rapidly changing environment, it has become important for firms to consider the role of users when developing innovation strategies. It is hard for a firm to maintain all abilities and resources amid this sudden change; therefore, firms have to develop their strategy considering the user’s role. For that reason, firms need to network with universities, researchers, firms, and users from the open innovation perspective. This study divides firm strategy into exploitation and exploration strategies in the value chain and identifies the effects of utilization strategy, exploration strategy, and the role of users in the smart media industry on firm performance.

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A Model and Empirical Study on the User’s Continuance Intention in Online China Brand Communities Based on Customer-Perceived Benefits

Cited by 36 publications

References 37 publications

Bridging the Gap in the Technology Commercialization Process: Using a Three-Stage Technology–Product–Market Model

Bridging the Gap in the Technology Commercialization Process: Using a Three-Stage Technology–Product–Market Model

Usability factors predicting continuance of intention to use cloud e-learning application

Can User Innovation Grow a Firm? The Case of the Korean Smart Media Industry

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