Critical factors of WAP services adoption: an empirical study

By Shin-Yuan Hung, Cheng-Yuan Ku, Chia-Ming Chang. Electronic Commerce Research and Applications, 2003

564 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/934e71851d771c22e3f5f1dbac2ffe9fd0613c06

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In Information Systems and Management

In Sociology and Political Science

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Citations in the corpus

An acceptance model for smart watches: Implications for the adoption of future wearable technology (2015, result): “Similarly, other studies have consistently demonstrated the negative effects of high perceived cost on users’ behavioral intentions to use 3G mobile network services, MVNOs (Shin, 2010), and mobile commerce (Hung et al., 2003; Wu and Wang, 2005).”
Culture-Technology Fit: Effects of Cultural Characteristics on the Post-Adoption Beliefs of Mobile Internet Users (2007, background): “Similarly, Hung, Ku, and Chang developed the adoption model of the mobile Internet, based on the Theory of Planned Behavior (TPB) and innovation diffusion theory [41].”
Diffusion and success factors of mobile marketing (2005, background): “Keywords:Mobile data services; Short Message Services (SMS); Mobile commerce; Online marketing; Success factors; Fortune Global 500; Web content analysis”
Mobile-banking adoption by Iranian bank clients (2014, background): “Besides, for determining the real costs and measuring the costs of acquiring and using new technologies, the adopters are usually faced with a range of relatively hidden costs which are likely to affect the costs of adoption of business via cell-phone (Hung et al., 2003; Wu and Wang, 2005).”
Integrating Altruism and the Theory of Planned Behavior to Predict Patronage Intention of a Green Hotel (2015, methodology): “…to predict intentions (Ajzen, 1991, 2002), and it has often been used to explain the specific behavior of a person in a certain environment (Hung, Ku, and Chang, 2003; Hsu & Chiu, 2004; Teo & Pok, 2003), such as in a restaurant (Cheng, Lam, & Hsu, 2005), or when faced with decisions on…”
The role of perceived enjoyment and social norm in the adoption of technology with network externalities (2008, background): “…work on perceived enjoyment and fun in IS use (Taylor & Todd, 1995; Van der Heijden & Sangstad, 2002; Van der Heijden, 2003, 2004), as well as the body of knowledge regarding the influence of peers and social norms (Karahanna & Straub, 1999; Hung et al ., 2003), was taken into account in our work.”
Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service (2018, unknown): “TAM has been extensively used to explain and predict user behavior of information technology applications (Cheung and Vogel, 2013; Hung et al., 2003; Keat and Mohan, 2004; Kim et al., 2016; Legris et al., 2003).”
Predicting young consumers' take up of mobile banking services (2010, unknown): “In addition to actual transparent and quantifiable costs of acquisition and use, adopters typically face a range of relatively hidden “transaction costs” which are likely to influence whether they adopt mobile commerce (Hung et al., 2003; Wu and Wang, 2005).”
Predicting consumer intentions to shop online: An empirical test of competing theories (2007, methodology): “For example, intention-based models, including the technology acceptance model (TAM) [5] [6], the theory of planned behavior (TPB) [7] [8], and the decomposed TPB model [9], have used to understand the determinants of consumer intentions to use Internet services [10] [11] [12] [13] [14] [15].”