Extending the theory of planned behavior: A study of lifestyles, contextual factors, mobile viewing habits, TV content interest, and intention to adopt mobile TV

Leung, Louis; Chen, Cheng

doi:10.1016/j.tele.2017.07.010

Cited by 44 publications

(30 citation statements)

References 25 publications

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“…Zha et al [82] investigated users' use of virtual communities, and found that the more users rely on the virtual communities, the more they use them. Leung and Chen [83] found that when discussing the adoption of mobile TV by consumers, the higher the affinity of users with mobile TV, the greater the possibility of watching TV programs through smart phones. Ozturk et al [14] found that the higher the users' affinity, the higher the adoption intention.…”

Section: Affinity and Adoption Intentionmentioning

confidence: 99%

Drivers of Mobile Payment Acceptance in China: An Empirical Investigation

Chen

2019

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With the rapid development of mobile technologies in contemporary society, China has seen increased usage of the Internet and mobile devices. Thus, mobile payment is constantly being innovated and is highly valued in China. Although there have been many reports on the consumer adoption of mobile payments, there are few studies providing guidelines on examining mobile payment adoption in China. This study intends to explore the impact of the facilitating factors (perceived transaction convenience, compatibility, relative advantage, social influence), environmental factors (government support, additional value), inhibiting factors (perceived risk), and personal factors (absorptive capacity, affinity, personal innovation in IT (PIIT)) on adoption intention in China. A research model that reflects the characteristics of mobile payment services was developed and empirically tested by using structural equation modeling (SEM) on datasets consisting of 257 users through an online survey questionnaire in China. Our findings show that perceived transaction convenience, compatibility, relative advantage, government support, additional value, absorptive capacity, affinity, and PIIT all have a positive impact on adoption intention, while social influence has no significant impact on adoption intention, and perceived risk has a negative impact on adoption intention. In addition, the top three factors that influence adoption intentions are absorptive capacity, perceived transaction convenience, and additional value.

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Section: Affinity and Adoption Intentionmentioning

confidence: 99%

Drivers of Mobile Payment Acceptance in China: An Empirical Investigation

Chen

2019

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“…Examples of these difficulties include the degree of difficulty in finding satisfactory listing, a more straightforward operation of the rental platform, and a more flexible rental terms and whether renters choose to live nearby according to their needs. Subjective norm refers mainly to perceived social pressure to perform one behavior [60,61]. The subjective norm of renting consists of three components, including government support, better network evaluation and the persuasion of friends or family members.…”

Section: Attitude Toward Behavior Subjective Norm and Behavioral Intmentioning

confidence: 99%

Understanding the Intention and Behavior of Renting Houses among the Young Generation: Evidence from Jinan, China

Zheng

Cheng

2019

Sustainability

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In the last decade, the rapid growth of China’s economy and population has generated a large demand for housing. Increasingly high prices have become the main obstacle for homeownership, especially for the young generation. In this study, we investigate the determinants of rental housing among the young generation in Chinese cities. A theoretical model and hypotheses were proposed by extending the theory of planned behavior (TPB). An empirical analysis was conducted via the structural equation model validation to reveal the following conclusions. (1) Attitude towards behavior (perceived usefulness and perceived usability) are the most important factors influencing renting behavior. (2) Mandatory policies and regulatory pressures promote renting behavior. (3) The government’s economic incentives have a significant impact on perceptual behavior control and indirectly affect behavioral intentions through perceptual behavior control. Based on the above conclusions, this study proposed recommendations for the government and businesses. This study contributed to existing theory and practice by providing useful insights into the influences on the young generation’s renting intentions. Furthermore, these findings provide the government with implications for facilitating the sustainability of the housing market.

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“…Over the last three decades marketing research has focused strongly on new technology evaluation and adoption [35][36][37][38][39]. Social-psychological models are useful tools in this regard for analyzing decision-making factors and processes; the theory of planned behavior (TPB) [35] is a model commonly used to predict consumer intentions and behaviors in this domain [36]. The TPB proposes that the individual's attitudes, subjective perceptions about others' opinions, and self-perceptions about available resources (e.g., skills) determine his/her behavioral intentions and behaviors [40].…”

Section: Introductionmentioning

confidence: 99%

“…The TPB proposes that the individual's attitudes, subjective perceptions about others' opinions, and self-perceptions about available resources (e.g., skills) determine his/her behavioral intentions and behaviors [40]. However, some authors found that in specific digital contexts customers are motivated by particular technological and sociological factors, such as perceptions of security [41] and customer lifestyle [36]. Security breaches associated with online commercial transactions are a major impediment to the more rapid development of online delivery apps [42].…”

Section: Introductionmentioning

confidence: 99%

“…Prior studies noted that Internet transactions require customers to place their trust in the firm's security, since they have to provide personal information and credit card numbers [44,45]. From a complimentary sociological approach, the previous literature identified lifestyle as a main determinant of the individual's intention to adopt products, brands, and services [36,46]. Lifestyle is a well-known research variable for segmenting target markets [47].…”

Section: Introductionmentioning

confidence: 99%

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Mobile Apps Use and WOM in the Food Delivery Sector: The Role of Planned Behavior, Perceived Security and Customer Lifestyle Compatibility

2020

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This research examines the phenomenon of food delivery services from the mobile app user’s perspective and how consumers’ lifestyles are changing because of the convenience provided by the apps. By means of an online survey targeted at US food delivery app customers, our study analyzes the main motivations that lead them to use and recommend these technology-based services. The results of the study revealed that some of the theory of planned behavior model variables (i.e., attitude toward the behavior, subjective norms), influence customer use and word-of-mouth (WOM) intentions. Security influences intention to spread WOM, whereas customer lifestyle compatibility influences intention to use the food delivery apps. A post hoc analysis revealed that perceived control is only important for older customers, who need to perceive that they control the apps before they will recommend them to other customers. The findings of the study are discussed and contrasted with previous research in the field. The managerial implications derived from the findings provide practical guidance for food delivery app companies. Further research avenues are suggested to encourage scholars to continue investigating the challenge of the diffusion of mobile apps in the food delivery and related sectors.

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Extending the theory of planned behavior: A study of lifestyles, contextual factors, mobile viewing habits, TV content interest, and intention to adopt mobile TV

Cited by 44 publications

References 25 publications

Drivers of Mobile Payment Acceptance in China: An Empirical Investigation

Drivers of Mobile Payment Acceptance in China: An Empirical Investigation

Understanding the Intention and Behavior of Renting Houses among the Young Generation: Evidence from Jinan, China

Mobile Apps Use and WOM in the Food Delivery Sector: The Role of Planned Behavior, Perceived Security and Customer Lifestyle Compatibility

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