Information quality and community municipal portal use

Detlor, Brian; Hupfer, Maureen E.; Ruhi, Umar; Zhao, Li

doi:10.1016/j.giq.2012.08.004

Cited by 104 publications

(49 citation statements)

References 56 publications

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“…The technology acceptance model's (TAM) (Davis, 1989) perceived ease of use and perceived usefulness as extrinsic motivational factors are well supported across a wide range of studies, and recent studies have also highlighted the importance of intrinsic motivators such as enjoyment and self-efficacy (Giesbers, Rienties, Tempelaar, & Gilselaers, 2013;Park, Nam, & Cha, 2012;Turel, Serenko, & Giles, 2011;Yoo, Han, & Huang, 2012). One of the key phases of the system development life cycle is system design, and systems with a high quality of functionalities were deemed pivotal towards ensuring success of information system adoption (DeLone & McLean, 2003;Detlor, Hupfer, Ruhi, Zhao, 2013;Lin & Wang, 2012). Cultural influences are gaining recognition in the field of system acceptances studies, with uncertainty avoidance (UA) from national cultural dimension theory (Hofstede, Hofstede, & Minkov, 2010) proving to be an important determinant of technology acceptances studies (Hwang & Lee, 2012;Yoo & Huang, 2011).…”

Section: Research Objectivementioning

confidence: 97%

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

Gan

Balakrishnan

2017

AJET

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The current study sets out to identify determinants affecting tertiary students' behavioural intentions to use mobile technology in lectures. The study emphasises that the reason for using mobile technology in classrooms with large numbers of students is to facilitate interactions among students and lecturers. The proposed conceptual framework has four main antecedents of behavioural intention: system perception, intrinsic motivation, system and information quality, and uncertainty avoidance. Sample data was collected from 396 tertiary students in Malaysia. Results from structural equation modelling on the sample indicated that behavioural intention was significantly influenced by system and information quality, followed by intrinsic motivation, and uncertainty avoidance. System perception was not significantly predictive of behavioural intention. The proposed framework explained 54% of the variance in behavioural intention of mobile technology use in lecture classes. The study findings are indicative of the importance of system development efforts to ensure overall quality system design. The findings further suggest that mobile technology may serve as a tool to facilitate interaction among students and lecturers in large lecture classes.

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Section: Research Objectivementioning

confidence: 97%

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

Gan

Balakrishnan

2017

AJET

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“…The QS effect on PU was shown in the study on e-business [29], community municipal portal [23], and healthcare information systems [63]. Matheus [55] asserted that QS positively influences a system's PU.…”

Section: Qs and Pumentioning

confidence: 99%

Predicting Drivers of Mobile Entertainment Adoption: A Two-Stage SEM-Artificial-Neural-Network Analysis

Hew

Leong

Ooi

et al. 2016

Journal of Computer Information Systems

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This study aims to understand users' motivations to adopt mobile entertainment (m-entertainment). Extending the Technology Acceptance Model (TAM), this study examined the effects of trust, perceived financial cost (PFC), and quality of the service on consumers' decision in adopting the m-entertainment. Survey data were collected from 524 mobile users and analyzed using both structural equation modeling (SEM) and neural network (NN) . The result showed that perceived usefulness (PU), perceived ease of use (PEOU), and quality of service (QS) are important predictors of m-entertainment adoption. The study contributes to the existing literature by extending the TAM model as well as examining m-entertainment, an important and emerging business model in mobile commerce. A new analytical approach using both SEM and NN was also employed in this study.

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“…Davis's (1989) Technology Acceptance Model's (TAM) perceived ease of use and usefulness as extrinsic factors are well supported across a wide range of studies, with recent studies pointing to the importance of intrinsic motivators such as enjoyment and self-efficacy (Giesbers, Rienties, Tempelaar, & Gijselaers, 2013;Yoo, Han, & Huang, 2012). One of the key phases of the system development life cycle is system design, and systems with high-quality functionalities were deemed pivotal for ensuring success of information systems adoption (DeLone & McLean, 1992;Detlor, Hupfer, Ruhi, & Zhao, 2013). Cultural influences are gaining recognition in the field of system acceptances studies, with uncertainty avoidance from national cultural dimension theory (Hofstede, Hofstede, & Minkov, 2010) proving to be an important determinant of technology acceptance (Hwang & Lee, 2012).…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study of Factors Affecting Mobile Wireless Technology Adoption for Promoting Interactive Lectures in Higher Education

Gan

Balakrishnan

2016

IRRODL

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Use of mobile technology is widespread, particularly among the younger generation. There is a huge potential for utilizing such technology in lecture classes with large numbers of students, serving as an interaction tool between the students and lecturers. The challenge is to identify significant adoption factors to ensure effective adoption of mobile technology to promote interactivity between students and lecturers. This paper aims to examine factors supporting the use of mobile wireless technology during lectures to promote interactivity between students and lecturers in Malaysia's higher education institutions. A survey involving higher education students enrolled in on-campus academic courses in Malaysia was conducted with a sample size of 302. Factor analysis results identified five factors: independent variables System Usefulness (SU), User System Perception (USP), User Uncertainty Avoidance (UUA), System and Information Quality (SIQ), and dependent variable Mobile Wireless Technology Adoption for Interactive Lectures (MWT_AIL). All independent variables are positively associated to MWT_AIL, with UUA and SIQ having higher levels of significance compared to SU and USP.Respondents were selected from higher learning institutions from urban areas in Malaysia.Therefore results obtained are not representative of the entire higher education landscape in Malaysia, and future studies are warranted to include higher learning institutions located in rural areas. It is hoped that findings from this study will serve as a catalyst for future studies to be conducted, particularly among higher education researchers seeking ways to utilize technology effectively to enhance the learning experiences of students.

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Information quality and community municipal portal use

Cited by 104 publications

References 56 publications

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

Predicting Drivers of Mobile Entertainment Adoption: A Two-Stage SEM-Artificial-Neural-Network Analysis

An Empirical Study of Factors Affecting Mobile Wireless Technology Adoption for Promoting Interactive Lectures in Higher Education

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