scholarly journals Factors Influencing User Behavior Intention to Use Mobile Library Application: A Theoretical and Empirical Research based on Grounded Theory

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Junren Ming ◽  
Rong Chen ◽  
Ruide Tu

AbstractUser behavior intention is an important evaluation criterion for the construction of mobile library application. To help libraries and mobile application, developers better understand factors influencing user behavior intention and jointly improve the mobile service quality of library. Based on grounded theory, this study experimentally manipulates user behavior intention to use mobile library application related to the survey questionnaire that was designed to obtain data from college teachers and students. The results showed that the user behavior intention to use mobile library application is mainly influenced by system feature (i.e., accessibility, relevance, and system help), interface feature (i.e., screen design, navigation, and term), and individual difference (i.e., performance expectancy, domain knowledge, and social influence). Furthermore, system feature and interface feature are the external driver of user's usage behavior intention, and individual difference is the internal driver of user's usage behavior intention.

2011 ◽  
Vol 17 (1) ◽  
pp. 151-173 ◽  
Author(s):  
Yeong-Wha Sawng ◽  
Seung-Ho Kim ◽  
Jungmann Lee ◽  
Young Sam Oh

Whilst mobile services have grown to a sizeable market in recent years, and leaps and bounds have been made in related technology, consumers’ usage behavior with regard to these services has received little attention from researchers. Studies on related topics are few and scarce, if compared, for example, to studies on information systems or web services. The main purpose of this study is to investigate consumers’ usage behavior in mobile services to provide pointers for future development of this field. Specifically, this study attempts to identify variables influencing the use of mobile service consumers. We developed an information technology acceptance model to determine usage characteristics and usage trends in mobile services and predict consumers’ usage behavior based on patterns discerned from these characteristics and trends. Information technology acceptance models are a useful tool for understanding the behavior of consumers of services such as mobile services, combining aspects of a technology and service good, from the perspective of behavioral science. This study, comprehensively concerned with mobile service marketing-related issues, considers both factors influencing consumers’ usage behavior and also technical aspects of services. Factors influencing the behavior of mobile service consumers are investigated empirically, by examining them in a real-world context. The expected outcomes of this study are as follows: First, it will predict consumers’ usage behavior with regard to mobile services based on usage characteristics at the level of task management, and discern identifiable and recurring patterns. Second, it will awaken providers to the importance of technical and functional performance and a clear understanding of consumers’ needs for the success of marketing mobile services.


2021 ◽  
Author(s):  
Caiqiang Guo ◽  
Junren Ming

Abstract This paper aims to explore the influencing factors and differences between user perception behavior of mobile library apps at two different points in time. Based on TAM, we constructed the research model.We designed and distributed questionnaires to the users of mobile library apps at an interval of three months to collect dynamic data. A structural equation modeling approach was applied for analysis.The empirical results reveal that PEOU, PU, SI, and FC affect behavior intention, but the impact is different at different times. With users’ usage time increasing, TAM is still universal for user perception behavior of mobile library apps; user behavior has dynamic differences; and there are dynamic differences in users’ behavior intention to use mobile library apps among different groups. Dynamically tracking and comparing user perception behavior at two different times can help guide the library to improve the quality of mobile library services and reduce user churn.


2019 ◽  
Vol 9 (2) ◽  
pp. 63-69
Author(s):  
Jonathan Cristopher ◽  
Marcelli Indriana

This study aims to determine the factors that influence the intentions of user behavior in using paid music as a service with the case studies of JOOX VIP apps. The framework of this research is UTAUT2 that has been modified by altering and adding existing constructs, perceived usefulness, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit, and search cost that will influence behavioral intention.Data was obtained by questionnaires collected from 155 respondents, whom use JOOX VIP. The collected data were analyzed by using the SEM method and the results indicates that hedonic motivation, habit, and search cost as a significant determinants of user’s behavior intention to use JOOX VIP.


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