Research Article

Research on Influencing Factors of Adoption Behavior of Mobile Readers Based on Meta-Analysis

Table 1

Literature review in the field of mobile reading acceptance.

Author (Year)SubjectParticipantsNumber of samplesLiterature source

∗Xiong (2010) [5]The adoption behavior of mobile phone reading serviceCollege students, masters, doctors, and other groups451Thesis
Pan (2011) [31]Acceptance behavior of mobile reading usersMost of them are college students411Thesis
Lai and Chang (2011) [22]Attitudes toward using e-book readersHigh school students, college students, and graduate students288Online information review
Han et al. (2012) [15]The adoption behavior of mobile readersHigh school students, college students, and graduate students392Soft science
Chang (2013) [18]Mobile reading efficiencyUndergraduate and graduate students363Library hi tech
Liu (2013) [6]Influencing factors of children’s online reading behavior8- to 12–year-old children and their parents256Thesis
Hao (2013) [7]The adoption of e-booksCollege students, colleges, undergraduates, masters, doctors, etc.1034Thesis
∗Shen (2019) [32]Research on mobile reading adoption modelMost of the users are undergraduates426Library science research
∗ Lao and Gao (2013) [16]Factors influencing consumers’ adoption of mobile readingConsumers in Shanghai594Consumer economy
Chiang and Chen (2014) [19]r-book reading willingnessAll users352The electronic library
∗Ge (2014) [23]Behavioral intentions of cell phone readingStudents of Nankai university and Tianjin university using mobile phone libraries328Library work and research
∗Zheng (2014) [25]Digital reading behaviorUndergraduates of Fudan university977Thesis
∗ Huang and Fan (2014) [26]Digital reading behaviorFreshman302Publishing science
Ye (2014) [28]Mobile reading adoption behavior18- to 30-year-old youth413Thesis
Dong (2014) [24]Mobile reading behaviorZhejiang college students425Journal of Jiaxing university
Zhang (2014) [8]The adoption behavior of mobile reading usersCover users of all ages and education levels311Thesis
Williams et al. (2014) [17]E-book consumption willingnessAll users234Journal of computer information systems
Park et al. (2015) [33]Reading intention of e-booksAll users219The electronic library
Hsiao and Chen (2015) [10]The efficiency of mobile readersThird grade60Library hi tech
∗ Chen et al. (2015) [9]Users’ adoption intention of mobile reading charge serviceAll users who have been in contact with mobile reading190Digital library forum
∗ Mao et al. (2016) [11]Research on the adoption behavior of mobile readersCollege students382New century library
∗ Xu et al. (2017) [12]Research on the factors influencing the acceptance behavior of library mobile reading usersPublic library users and university library users425Library and information work
Wang et al. (2017) [27]Willingness to use mobile librariesAll users201Library hi tech
∗ Zhang et al. (2018) [13]The adoption behavior of mobile reading APP usersAll users310Digital library theory and practice
Zhao and Xie (2019) [30]Chaoxing mobile reading platform APP use intentionUniversity student379Library and information work
Ji et al. (2020) [34]Influencing factors of social reading behaviorCollege students and teachers195Library forum
Chen and Zhu (2020) [35]The influencing factors of the transfer behavior from paper-based reading to mobile readingCollege students and teachers298Library science research
Liu et al. (2020) [20]Digital reading intentionsChildren aged 9–14252Library construction
Li and He (2020) [14]The influence of perceived value of mobile readingAll groups, mainly undergraduates335Knowledge management forum
Zhang (2020) [21]The influencing factors of mobile readingAll users383Thesis
∗ Zheng (2020) [29]The influencing factors of digital readingCollege students308Thesis

The documents marked with ∗ do not provide correlation coefficients between variables, so the calculation is based on the path coefficients provided by them.