Scrutiny of Relationship between E-Banking Information Quality Dimensions and Customer Satisfaction

Ayyash, Mohannad Moufeed

doi:10.3844/jcssp.2017.78.90

Cited by 15 publications

(16 citation statements)

References 66 publications

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“…DeLone and McLean [5] proposed a famous information system success model known as the D&M model that has the ability to measure system standards, and this model has been theoretically and empirically developed and improved in several studies [18,19]. For example, Bernroider [20] applied the D&M model to measure the effectiveness of adopting ERP in different sizes of companies from the perspective of information technology.…”

Section: Statistical Methods For the Dandm Modelmentioning

confidence: 99%

“…The result showed that system quality and service quality had a positive influence on intention to use the cloud e-bookcase and user satisfaction. Ayyash [18] developed four dimensions (accuracy, timeliness, completeness, and relevancy) used to reflect information quality, and discussed the relationship between these four dimensions and customer satisfaction in the e-banking industry.…”

Section: Statistical Methods For the Dandm Modelmentioning

confidence: 99%

“…The rough unweighted supermatrix W is transposed from rough matrix T δ C , as shown in Equation (18). FOR PEER REVIEW 8 of 21 1 2 11 1 21 2 1 1 2 11 12 1 1 1 21 22 2 2 2 1 2 11 12 1 21 22 2 1 2…”

Section: ( )mentioning

confidence: 99%

“…Referring to step 5, we can get rough matrix , where in is the number of criteria in dimension n; and jm is the number of criteria in the dimension m. (18) Step 8: Derive the rough weighted supermatrix.…”

Section: ( )mentioning

confidence: 99%

“…The weights of the four dimensions and 15 criteria were calculated according to Equations (14)- (18). Table 6 indicates the unweighted rough supermatrix according to Equation (18), and the weighted rough supermatrix can be calculated according to Equations (19)- (23), which can be found in Table 7. Subsequently, the de-rough influential weights of the dimensions and criteria can be found according to Equation (8).…”

Section: Obtaining the Weights Of Each Dimension And Criterionmentioning

confidence: 99%

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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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Section: Statistical Methods For the Dandm Modelmentioning

confidence: 99%

Section: Statistical Methods For the Dandm Modelmentioning

confidence: 99%

Section: ( )mentioning

confidence: 99%

Section: ( )mentioning

confidence: 99%

Section: Obtaining the Weights Of Each Dimension And Criterionmentioning

confidence: 99%

See 3 more Smart Citations

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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A Thorough Analysis of the Perceived Risk and Customer Acceptance of Mobile Banking Apps

Ayyash

2022

Financial Technology (FinTech), Entrepreneurship, and Business Development

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Examining the effectiveness of compensatory adaptation from a consumer's perspective in evaluating products online

Lim

Wollscheid

Ayyagari

2020

AJB

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PurposeConsumers often encounter issues of perceived ambiguity and performance risk when attempting to evaluate experience goods being offered online. Sellers try to alleviate this knowledge gap often seen in a medium of low naturalness by engaging in effective compensatory adaptation. This research theoretically looks into three primary aspects of compensatory adaption and their potential in securing communication of high-quality information between the online seller and consumer.Design/methodology/approachUtilizing survey data and structural equation modeling, this study tests the effectiveness of different aspects of compensatory adaption to alleviate the knowledge gap in a medium of low naturalness.FindingsDrawing on media naturalness theory and the tripartite model of attitude, this paper identifies three theoretical components that significantly affect the effectiveness of compensatory adaption. They are information retrieval capability from the cognitive/logical aspect, information richness from the affective/audiovisual aspect and interactivity from the behavioral aspect. The effectiveness of compensatory adaptation proves to have a positive impact on perceived information quality.Originality/valueTo the best of our knowledge, this is the first paper in the information systems literature to examine the compensatory adaptation tools for effective transfer of information. This study contributes to the academics by providing three handles to improve effectiveness of compensatory adaptation toward information quality. We focus on three compensatory adaptation tools in cognitive/logical, affective/audiovisual and behavioral aspects, and this compensation perspective leads to three practical factors that affect effective transfer of information between online sellers and consumers. The result of this study complements the nomological network of the enablers and impediments of e-commerce.

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Scrutiny of Relationship between E-Banking Information Quality Dimensions and Customer Satisfaction

Cited by 15 publications

References 66 publications

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

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

A Thorough Analysis of the Perceived Risk and Customer Acceptance of Mobile Banking Apps

Examining the effectiveness of compensatory adaptation from a consumer's perspective in evaluating products online

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