Behavioral Intention to Adopt Digital Library by the Undergraduates

Moorthy, Krishna; T’ing, Loh Chun; Ming, Kiing Siew; Ping, Chiong Chui; Ping, Ler Yu; Joe, Lim Qiao; Jie, Wong Ying

doi:10.1080/10572317.2018.1463049

Cited by 52 publications

(66 citation statements)

References 72 publications

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“…These results describe an impact of EE on PEOU while the impact of EE on BI was rejected. The association of EE and BI was also supported by literature in [ 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 81 ]. The reason behind the non-significant influence of EE on BI might be that the digital persons were native to the digital technology as they were born and grew up in the latest technologies.…”

Section: Resultssupporting

confidence: 79%

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Ride or Not to Ride: Does the Customer Deviate toward Ridesharing?

Shamim

Khan

Qureshi

et al. 2021

IJERPH

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Traditional taxi services have now been transformed into e-hailing applications (EHA) such as Uber, Careem, Hailo, and Grab Car globally due to the proliferation of smartphone technology. On the one hand, these applications provide transport facilities. On the other hand, users are facing multiple issues in the adoption of EHAs. Despite problems, EHAs are still widely adopted globally. However, a sparse amount of research has been conducted related to EHAs, particular in regards to exploring the significant factors of intention behind using EHAs Therefore, there is a need to identify influencing factors that have a great impact on the adoption and acceptance of these applications. Hence, this research aims to present an empirical study on the factors influencing customers’ intentions towards EHAs. The Technology Acceptance Model (TAM) was extended with four external factors: perceived mobility value, effort expectancy, perceived locational accuracy, and perceived price. A questionnaire was developed for the measurement of these factors. A survey was conducted with 211 users of EHAs to collect data. Structural equation modeling (SEM) was used to analyze the collected data. The results of this study exposed that perceived usefulness, perceived price, and perceived ease of use affect behavior intention to use EHAs. Furthermore, perceived ease of use was impacted by effort expectancy, perceived locational accuracy, and perceived mobility. The findings of the study provide a foundation to develop new guidelines for such applications that will be beneficial for developers and designers of these applications.

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Section: Resultssupporting

confidence: 79%

“…Thus, the uber technology that requires the use of computers or the internet might be considered as an ordinary thing for them. Hence, the results are in parallel to the exiting study [ 81 ].…”

Section: Resultsmentioning

confidence: 78%

Ride or Not to Ride: Does the Customer Deviate toward Ridesharing?

Shamim

Khan

Qureshi

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…Meanwhile, other study results found that PE, EE, SI did not have an effect on BI [6]. Other findings showed that PE, SI, FC, hedonic motivation, habit, and information quality has a significant association with BI to adopt a digital library except for effort expectancy [7].…”

Section: Introductionmentioning

confidence: 94%

Students’ Perception of Digital Library as a Media for Supporting Student Centred Active Learning

Saragih¹

2019

Proceedings of the International Conference on Emerging Media, and Social Science

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The use of Digital Library (Digilib) has grown rapidly. As a library management information system that can assist users to search for references, it cannot be denied that the establishment of Digilib has assisted numerous students. In order for information technology to improve organizational performance, the technology must be accepted and utilized by its users. This quantitative research aims to identify students' perceptions of digital library at the Central Library, Universitas Indonesia. A questionnaire is distributed to 109 respondents. The data analysis employs structural equation model toward the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The results of the analysis show that performance expectation significantly affects the behaviour intention of digital library users. On the other hand, effort expectation, social influence, and facilitating condition do not influence behaviour intention. Meanwhile, behaviour intention has a significant effect on use behaviour. The implication of this findings is that the Central Library of Universitas Indonesia should improve the digital library so that it can support the student centred active learning at the university.

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“…While perceived usefulness can be described as the degree to which employees' think that using particular technology would improve their performance (Balog, 2010;Bandiyono & Muttaqin, 2020;DeLone & McLean, 2003;Jiang et al, 2012), Ying et al (2021) defined easily of use and reliability as the extent to which attributes and features of a specific technology is enjoyable, free of effort, and dependable. Verkijika (2019) added that although most previous studies confirmed the significant contribution of usability in the level of technology adoption, the association between usability and technology adoption is quite questionable as several recent studies from Chen et al (2018) and Moorthy et al (2019) found different results of usability contribution on technology adoption which is either not strong enough or non-significant.…”

Section: Technology Usability and Technostressmentioning

confidence: 99%

Technostress among marketing employee during the COVID-19 pandemic: Exploring the role of technology usability and presenteeism

Khuzaini

Zamrudi

2021

JEMA

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The COVID-19 pandemic is profoundly affecting the way of consumer buying. Firms are therefore challenged to be more reliant on technology as many consumers have turned into protection mode and do anything remotely. While the usage of technology has offered flexibility and simplicity, it has also exacerbated the technostress issue. This study was conducted to understand and examine technology usability and presenteeism that influence technostress during the COVID-19 pandemic situations. A five-point Likert scale questionnaire survey was used to evaluate the perceptions of technology characteristics and techno-stress among marketing employees. A total of 262 respondents that classified as marketing employees that are experienced “working from home” during the pandemic, were collected and analyzed by using Covariance Based Structural Equation Modeling (CB-SEM). The results suggest that technology usability has positive influences on techno-complexity and techno-insecurity. Moreover, the negative influences of presenteeism on techno-overload and techno-insecurity were also proved in this study. Interestingly, marketing employees do not see their hyper-connectivity with technology implemented by the company impact their workloads and worries as they consider the current radical changes only temporary and will only last during the pandemic.

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Behavioral Intention to Adopt Digital Library by the Undergraduates

Cited by 52 publications

References 72 publications

Ride or Not to Ride: Does the Customer Deviate toward Ridesharing?

Ride or Not to Ride: Does the Customer Deviate toward Ridesharing?

Students’ Perception of Digital Library as a Media for Supporting Student Centred Active Learning

Technostress among marketing employee during the COVID-19 pandemic: Exploring the role of technology usability and presenteeism

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