High speed rail passengers’ mobile ticketing adoption

Cheng, Yung-Chang; Huang, Ting

doi:10.1016/j.trc.2013.02.001

Cited by 129 publications

(88 citation statements)

References 74 publications

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“…This is in contrasts to the work of Heijden [14], who pointed out that perceived enjoyment positively influences the behavior intention. The reasons for this finding are not clear.…”

Section: Discussioncontrasting

confidence: 99%

“…Perceived enjoyment is defined as "the extent to which the activity of using the technology is perceived to be enjoyable in its own right, apart from any performance consequences that may be anticipated", which influence the BI directly. Heijden [14] also proved that perceived enjoyment positively influences the intention to use a websites. Research in the field of mobile commerce, Ha et.…”

Section: Hypotheses Relative To Tammentioning

confidence: 92%

“…Items for perceived usefulness and perceived ease of use were adapted from Davis' [3] TAM model. Perceived enjoyment was measured with three items adapted from Heijden [14]. Mobility was measured with three items adapted from Schierz et.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Predicting Tourists Decisions to Adopt Mobile Travel Booking

Yang¹,

Zhong²,

Zhang³

2013

IJUNESST

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“…This is in contrasts to the work of Heijden [14], who pointed out that perceived enjoyment positively influences the behavior intention. The reasons for this finding are not clear.…”

Section: Discussioncontrasting

confidence: 99%

Section: Hypotheses Relative To Tammentioning

confidence: 92%

See 1 more Smart Citation

Predicting Tourists Decisions to Adopt Mobile Travel Booking

Yang¹,

Zhong²,

Zhang³

2013

IJUNESST

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show abstract

“…In addition, it also provides a conceptual framework which can help public institutions to promote the general public's green intentions via the other three dimensions. If other more standard transport demand factors were entered into the model, such as cost and personal ideas, they may also have an effect on green intentions (Chang and Caneday 2011; Cheng and Huang 2013).…”

Section: Introductionmentioning

confidence: 99%

A Model of Green Acceptance and Intentions to Use Bike-Sharing: YouBike Users in Taiwan

Chen

Lu²

2015

Netw Spat Econ

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With the emphasis on sustainability in transportation, bike-sharing systems are gaining popularity. This paper investigates the attitudes of users of a bike-sharing system with the aim of identifying their priorities, thus allowing local governments to focus their efforts most effectively on enhancing users' intentions to use such systems. The relationships among green perceived usefulness (the extent to which individuals believe that a bike-sharing system will improve the environmental performance of some part of their life within a specific context), user attitude and perceived ease of use with green intentions, and the mediation effect of user attitude towards bike-sharing are explored. The focus of the study is on how to enhance green intentions via perceived usefulness, perceived ease of use and user attitude of the green technology acceptance model (green TAM) (Davis 1989). The two-step approach of structural equation modeling was applied to analyze the empirical results, which indicated that green perceived usefulness and user attitude have positive influences on the green intentions of 262 users and 262 non-users from ten sampled bike-sharing sites around the central administrative districts of Taipei. However, user attitude has the highest mediation effect on green intentions, and perceived ease of use does not have a significant effect on intentions for either users or non-users. Therefore, governmental institutions can strive to improve the attitudes of bike-sharing users and non-users, their green perceived usefulness, and perceived ease of use to strengthen their intentions to use this mode of sustainable transportation.

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“…For example, some studies based on TAM (Park et al2013;Joo and Sang, 2013) neglected the intrinsic benefit in the adoption of smartphone. Heijden (2004) (Lu et al,2005;Cheng et al,2013), social influence (Lu et al,2005;Lopez-Nicolas et al, 2008) and service quality Landrum and Prybutok, 2004;Jang and Noh, 2011;Shin et al,2013) in mobile context. Meanwhile, a lot of researches have focused on examining the factors affecting users' initial adoption and usage of mobile services (Sheng et al,2008;Kuo and Yen ,2009;Mallat et al,2009;Shin, 2009 (Heijden, 2004).…”

Section: ⅰ Introductionmentioning

confidence: 99%