Integration of TAM, TPB, and TSR in understanding library user behavioral utilization intention of physical vs. E-book format

Mustafa, Maria Hani; Ahmad, Mohammad Nazir; Shaari, Zullina H.; Jannat, Taslima

doi:10.1016/j.acalib.2021.102399

Cited by 35 publications

(23 citation statements)

References 69 publications

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“…The results also revealed that students’ intentions to use digital resources in the future will be higher when they believe the system is beneficial and easy to use. This indicates that the results are consistent with earlier research (Borrego et al , 2007; Davis, 1989; Mustafa et al , 2021; Persson et al , 2015; Rafi et al , 2019; Yoon, 2016; Zhou et al , 2017).…”

Section: Discussionsupporting

confidence: 93%

Assessing the impact of knowledge management factors on digital resources acceptance: a survey of postgraduate students of public sector universities of Punjab

Ahmad

Bhatti

2023

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Purpose This study aims to measure the acceptance of digital resources by integrating knowledge management (KM) factors (i.e. acquisition, sharing, application and protection) into the factors of the technology acceptance model (TAM) (i.e. perceived ease of use and perceived usefulness) and their impact on actual system use through behavioural intention. Design/methodology/approach Using the quantitative research method, a survey was conducted of the public sector universities of Punjab, Pakistan. Data were collected from postgraduate students and analysed using partial least squares structural equation modelling. Findings The findings showed that the factors of KM with the integration of TAM significantly impact the acceptance of digital resources. The study’s hypotheses are all supported, and the findings demonstrated that knowledge acquisition, knowledge sharing, knowledge application and knowledge protection significantly influenced perceived usefulness and perceived ease of use, and that these factors are positively correlated with behavioural intentions to use digital resources. Originality/value This study has considerable significant implications for policymakers, developers and practitioners in designing digital resources. This study will also assist librarians to discover areas for development that may enhance the use of digital resources among users

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Section: Discussionsupporting

confidence: 93%

Assessing the impact of knowledge management factors on digital resources acceptance: a survey of postgraduate students of public sector universities of Punjab

Ahmad

Bhatti

2023

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“…PU is "the degree to which a person believes that using the new technology would enhance his or her job performance" (Davis, 1989). Following TPB, the perceived utility also influenced how users perceived adopting the new technology system amidst the coronavirus crisis (Tang et al, 2021;Mustafa et al, 2021;Han and Sa, 2022). The subsequent hypotheses are presented as:…”

Section: Perceived Usefulness (Pu)mentioning

confidence: 99%

User’s intention towards the use of digital libraries: a post COVID-19 scenario

Sujood,

Siddiqui,

Nafees

et al. 2023

DLP

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Purpose Following a crucial COVID-19 pandemic lockdown, the coronavirus has affected every academic institution, particularly libraries and information centres. To address this unprecedented scenario, libraries’ staff has decided to provide their services via digital access while staying close to the users. To predict users’ intention to use digital libraries after COVID-19, the authors combined the technology acceptance model (TAM), the theory of planned behaviour (TPB) and perceived risk. Design/methodology/approach Data were collected via a paper-based questionnaire using a convenient sampling method which was distributed at two major libraries; Maulana Azad Library, Aligarh Muslim University and Dr Zakir Husain Library, Jamia Millia Islamia in India. Findings Empirical findings suggested that all the proposed hypotheses were supported, and the integrated model had strong explanation power as the proposed model explained a 74.5% variance in users’ intention to use digital libraries after COVID-19. Research limitations/implications This study offers substantial information to librarians, digital libraries, universities, institutes and other stakeholders and sheds light on the potential for a developing nation to transition to an economy with a strong digital infrastructure. The scope of the study is constrained to the users in India only, hence, leading to the possibility that it may be challenging to generalize the findings. Originality/value According to the best of the authors’ knowledge, it is one of the few studies to predict users’ intentions for using digital libraries after COVID-19 by applying the integrated model of TPB and TAM in an emerging economy. It helped understand the users’ attitudes towards using the digital services and resources available at the respective libraries. It also contributed considerably to the argument that users have grown accustomed to harnessing digital libraries during the post-COVID-19 period.

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“…In the study of the causal relationship among belief, attitude, intention, and behavior, TAM has effectively predicted individual behavior across a wide range of information technologies (Mustafa et al, 2021 ). TAM and its extended model have been used in recent studies to assess the public acceptability of new-energy vehicle technologies and the impact of various government subsidies on consumers' purchase intentions and to derive policy and regulatory effects in various research contexts (Hu et al, 2020 ; Yankun, 2020 ; Jaiswal et al, 2021 ).…”

Section: Theoretical Framework and Hypothesis Developmentmentioning

confidence: 99%

A model of extended technology acceptance for behavioral intention toward EVs with gender as a moderator

Zhang

Ali

Kanesan³

2022

Front. Psychol.

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Technology has contributed significantly to the adoption of EVs (EVs) in the era of industry 4. 0. However, consumer intentions for EVs have been elusive, and the pace of adoption has been confined. Therefore, this study aims to investigate the influence of external factors in promoting customer behavioral intention for EVs. The study also investigates the mediating role of perceived ease of use (PEU) and perceived usefulness (PU) between external factors and consumer intentions for EVs. It also examined the moderating role of gender on the study variables. A study approach based on the expanded version of the technology acceptance model (TAM) was utilized to analyse data from 203 customers in China. The model was tested using structural equation model (SEM) and multigroup analysis (MGA) techniques. The results indicated that two external factors have a positive relationship with TAM constructs. The results also indicate that PEU and PU have a serial mediating relationship between external factors and behavioral intention. Finally, the study revealed gender-related differences in TAM for EVs. The study's findings help managers to design successful strategies by knowing the external factors impacting customer EV intentions and gender differences. Finally, this is a ground-breaking research that applies TAM to the automobile sector. As a result, examining both new and current factors and evaluating them in a new setting adds to the body of the literature on the adoption of technology.

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Integration of TAM, TPB, and TSR in understanding library user behavioral utilization intention of physical vs. E-book format

Cited by 35 publications

References 69 publications

Assessing the impact of knowledge management factors on digital resources acceptance: a survey of postgraduate students of public sector universities of Punjab

Assessing the impact of knowledge management factors on digital resources acceptance: a survey of postgraduate students of public sector universities of Punjab

User’s intention towards the use of digital libraries: a post COVID-19 scenario

A model of extended technology acceptance for behavioral intention toward EVs with gender as a moderator

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