The Measurement and Dimensionality of Mobile Learning Systems Success

Lin, Hsin Hui; Wang, Yi-Shun; Li, Ci Rong; Shih, Ying Wei; Lin, Shin Jeng

doi:10.1177/0735633116671324

Cited by 11 publications

(10 citation statements)

References 71 publications

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“…From literature review, 5 factors were identified that is Attitude (ATT), System Quality (SQ), Information Quality (IQ), User background (UB), System Use (USE) to measure User satisfaction (US) and 4 factors that is ATT, SQ, IQ and UB to measure System Use. The questionnaire items with validated scales were adopted from [13]- [17] to form a 44 item questionnaire survey. A questionnaire survey was used to quantitatively answer 9 hypotheses created in regard to factors that will influence use and user satisfaction of the ETL register.…”

Section: Methodsmentioning

confidence: 99%

System Use and User Satisfaction in the Adoption of Electronic Medical Records Systems: A Case of DHIS2 Tracker Implementation in Tanzania

Ayebazibwe

Kimaro

Kaasbøll

2019

IFIP Advances in Information and Communication Technology

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The adoption of Electronic Medical Records Systems (EMRs) is on the rise in developing countries due to the need to ensure improved quality of healthcare through client continuum and monitoring and information sharing through collecting detailed, good quality and reliable information overtime. In spite the benefits of EMRs, their success depends on use and satisfaction of users with the system. Recently National Tuberculosis and Leprosy Program of Tanzania adopted an EMRs known as the DHIS2 Tracker to help with case management, improve reporting and reduce lost to follow-up cases. This study therefore aimed to investigate factors influencing use and user satisfaction of DHIS2 Tracker by adapting both the DeLone & McLean Model with the Technology Acceptance Model. The research model consisted of six factors from which an online questionnaire using google forms was developed and shared with users of the system. In order to assess the relationship between factors, nine hypotheses were developed and multiple regression analysis was conducted.The analyzed data supported five out of nine hypotheses and indicates that system quality and attitude have positive significant influence on both system usage and user satisfaction, while use of the system has a positive significant influence on satisfaction. However, user background and information quality do not have significant influence on either use or satisfaction of DHIS2 Tracker. These findings help implementers understand areas of focus during implementation of DHIS2 Tracker.

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Section: Methodsmentioning

confidence: 99%

System Use and User Satisfaction in the Adoption of Electronic Medical Records Systems: A Case of DHIS2 Tracker Implementation in Tanzania

Ayebazibwe

Kimaro

Kaasbøll

2019

IFIP Advances in Information and Communication Technology

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“…Selected researchers applied the D&M model in online learning systems such as Massive Open Online Courses (MOOCs), mobile learning systems, and blog-based learning systems [25,26]. Based on the D&M theory, Wu and Chen [27] applied the structure equation model and multiple group analysis method to a Facebook system, and the result showed that social influence and information quality are critical and direct determinants that affect users' continuous intention to use Facebook in learning.…”

Section: Statistical Methods For the Dandm Modelmentioning

confidence: 99%

“…In the step, we can use Equations (25) and (26) to compute the rough proximity degree between the current level and aspiration level for alternatives.…”

Section: The Copras-r Methods With Aspiration Levelmentioning

confidence: 99%

A Rough Hybrid Multicriteria Decision-Making Model for Improving the Quality of a Research Information System

Shao¹,

Liou²,

Weng³

et al. 2019

Symmetry

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Improving the quality of research information systems is an important goal in the process of improving the performance of research management in Chinese universities. Since the evaluation of information system (IS) quality is a multicriteria decision problem, it is critical to identify the interrelationships among the dimensions and criteria, and decide on the important criteria for proposed improvement strategies. This paper suggests a hybrid multicriteria decision-making (MCDM) model for improving the quality of a research information system. First, a rough method combined with the decision-making trial and evaluation laboratory and analytical network process (rough DANP) model is used to improve the objectivity of expert judgements. Additionally, the rough DANP can be used to construct an influential network relationship map (INRM) between research information system components to derive the criterion weights. The complex proportional assessment of alternatives with rough numbers (COPRAS-R) is applied to evaluate the performance of the research information system. A Chinese university research information system is chosen to illustrate the usefulness of the proposed model. The results show that efficiency, effectiveness, and user frequency have the highest priorities for improvement. Selected management implications based on the actual case study are supplied.

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“…The information system success model has been widely used to investigate satisfaction and continue use in numerous information systems contexts such as e-commerce (Wang, 2008);e-government(Wang&Liao,2008);mobilelearningsystem(H.-H. Lin,Wang,Li,Shih,&Lin, 2017) Alongsidethenotionofassumptionchallenging,thispaperalsoemploysgap-spotting,whichisan elementofresearchinvestigationwithintheremitofneglectspotting(Nicholsonetal.,2018).These twoapproacheswerechosenforanumberofreasons,firstlywithintheareaofMBandinformation systemsalotofthetraditionalliteraturedoesnotgofarenoughinchallengingthecurrentthinkingin thisarea,andsecondly,thedevelopmentofrevelatorycontributionscancreatenewwaysofknowing.It isimportanttonotethatwhiletheseapproachesarerelativelynew,theydonothavetoberevolutionary orgroundbreaking,inmanycasesitcanchallengemoderateassumptionswithinexistingtheoriesor intellectualtraditions (Sandberg&Alvesson,2011).Tohighlightourstrategies,Figure2illustrates theuseofassumptionchallengingandgapspottingindevelopingthepaper'scontributions.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Factors That Influence Customer Trust and Satisfaction in Mobile Banking

Geebren

Jabbar

2021

International Journal of E-Business Research

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Over the last decade, banks have significantly invested in mobile banking. While mobile banking research focuses increasingly on adoption and behavioural intention, and post-adoption behaviours such as customer satisfaction have been given little attention. This paper draws on the information system success model to look into the antecedents of trust and satisfaction in mobile banking. It adopts the problematization and the systematic literature review approaches to problematize, organise, and integrate previously published literature related to trust in mobile banking in the post-adoption stage. The paper proposes a conceptual model with five factors that influence customer trust in mobile banking: system quality, information quality, services quality, structural insurance, and task characteristics. The relationships between the independent variables and satisfaction are mediated by trust. This paper is one of the first to discuss the Delone and Mclean model within a customer trust and satisfaction framework.

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The Measurement and Dimensionality of Mobile Learning Systems Success

Cited by 11 publications

References 71 publications

System Use and User Satisfaction in the Adoption of Electronic Medical Records Systems: A Case of DHIS2 Tracker Implementation in Tanzania

System Use and User Satisfaction in the Adoption of Electronic Medical Records Systems: A Case of DHIS2 Tracker Implementation in Tanzania

A Rough Hybrid Multicriteria Decision-Making Model for Improving the Quality of a Research Information System

Factors That Influence Customer Trust and Satisfaction in Mobile Banking

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