Examining the Influence of Relationship Quality on Data Warehouse Success

Almabhouh, Alaaeddin; Saleh, Abdul Razak; Ahmad, Azizah

doi:10.7763/ijmo.2011.v1.68

Cited by 4 publications

(5 citation statements)

References 38 publications

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“…140 filled questionnaires were returned generating 50.5 %. This response rate somehow on average comparison to many similar studies such as [58], [59]. [58], who studied 350 Jordanian companies, had a response rate of 30%.…”

Section: Findings and Discussionmentioning

confidence: 57%

The Role of Data Warehouse as a Source of Knowledge Acquisition in Decision-Making. An Empirical Study

Alsqour

Owoc

2015

IFIP Advances in Information and Communication Technology

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Section: Findings and Discussionmentioning

confidence: 57%

The Role of Data Warehouse as a Source of Knowledge Acquisition in Decision-Making. An Empirical Study

Alsqour

Owoc

2015

IFIP Advances in Information and Communication Technology

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“…140 filled questionnaires were returned generating 50.5 %. This response rate somehow on average comparison to man y similar studies such as ( [58]; [59]). [58], who studied 350 Jordanian companies, had a response rate of 30%.…”

Section: Results S Findings and Discussionmentioning

confidence: 99%

“…[58], who studied 350 Jordanian companies, had a response rate of 30%. [59], who used a self-ad ministered questionnaire and targeted similar population in Jordan, had a response rate less than 50%.…”

Section: Results S Findings and Discussionmentioning

confidence: 99%

Data Warehouse as a Source of Knowledge Acquisition. An Empirical Study

Alsqour

Owoc

Ahmed

2014

Annals of Computer Science and Information Systems

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Abstract-The main objective of conducting this research is to investigate empirically the role of data warehouse (DW) in enhancing decision-making or, more precisely, the researchers surveyed the top management of Jordanian firms regarding the role and importance of DW in improving the effectiveness of decision-making. It is believed and assumed that meaningful and significant information can be acquired from DW which provides valuable knowledge to support business process and decision-making.A mail questionnaire survey was regarded as the appropriate method for gathering data. The questionnaire was developed based on the findings from related literature and other related research questionnaires. All the firms (277), which were listed on Amman S tock Exchange (AS E), at the time of data collection, were selected over half answered positively. The researchers arrived at scores of significant and remarkable results regarding DW an d its role in enhancing the process of decision-making. The survey's findings showed that the percentage of implementing DW in the Jordanian firms involved is 35%. In general, the respondents had a positive attitude towards the implementation of DW.

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“…Numerous studies have been conducted to investigate on the functions of the available data mining (DM) techniques in determining students' academic performance. DM represents a step in knowledge discovery in database (KDD) to extract hidden knowledge (Almabhouh et al, 2011; Nwagu et al, 2017). Besides enabling analysts to discover patterns and relationships, DM is also well known as a problem‐solving tool that supports the decision‐making process, particularly in finding the best solution as well as making fast and valuable decisions (Amrieh et al, 2015; Jishan et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Internet use behaviour model for predicting students' performance

Khamis

Ahmad

et al. 2022

Expert Systems

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Internet technology is vital in education as it is an enabler tool used by students for information exchange, communication and creation of knowledge. However, issues related to Internet use behaviour (IUB) and effects on students' performance are still being debated due to inconsistent results. Thus, the main aim of this paper is to propose a specific IUB classification model to discover comprehensive prediction models on students' performance by using educational data mining (EDM). Data related to the students' CGPA and their internet usage activities were collected from 469 undergraduate students. Primarily, in this study several techniques were ensembled to predict students' performance based on IUB. An EDM approach comprising of clustering, classification, correlation, and regression was used. The base classifiers including decision tree (j48) ensembled with EM clustering technique were exploited to develop a high accuracy of prediction results. At first, the usage of clustering technique was to cluster the dataset into smaller variable and applied classification technique to solve the complexity of the variables. Correlation come across to measure the degree of IUB and students' performance and later regression was applied to produce predictive results. Based on 11 IUB categories, the results indicate that online gaming has a negative significant effect on the students' performance. Additionally, the prediction model revealed a high correlation, which generates good predictions of 92%. The prediction model would enable higher learning institutions to detect as early as possible those students who are at risk. This will then help them in taking timely and proactive measures to improve their performance.

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Examining the Influence of Relationship Quality on Data Warehouse Success

Cited by 4 publications

References 38 publications

The Role of Data Warehouse as a Source of Knowledge Acquisition in Decision-Making. An Empirical Study

The Role of Data Warehouse as a Source of Knowledge Acquisition in Decision-Making. An Empirical Study

Data Warehouse as a Source of Knowledge Acquisition. An Empirical Study

Internet use behaviour model for predicting students' performance

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