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Towards developing an instrument in measuring the need for InfoVis

Ayobami, Akanmu Semiu and Jamaludin, Zulikha (2014) Towards developing an instrument in measuring the need for InfoVis. In: Knowledge Management International Conference 2014 (KMICe2014), 12-15 August 2014, Langkawi, Malaysia.

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The increasing trend of data volume and its superabundance have been endangering institutional data and specifically, higher education institutions (HEI) students’ data.The most challenging is the need for HEI to make sense from their large datasets, through gaining insights and understanding the pattern and trends of events therein. Deductions from extant literatures strongly indicate the presence of information overload as the factor constraining HEI decision makers from making wealthy use of the institutional datasets.However, no study has empirically investigated the presence of information overload in HEI students’ data management.To attend to this, this study aims at developing an instrument to be used in measuring the presence of information overload, and justifiably, the need for Information Visualization (InfoVis) –being an argued better tool for institutional data management. This study employs quantitative research method withadministration of 9-item survey questionnaire. Thirty-two (32) respondents are purposively drawn among HEI decision makers.Descriptive statistics is used as the statistical technique to find the mean valueof the computed variable based on the normal Likert 5-point scale.The result of the instrument reliability testgives a value of 0.712 as the Cronbach’s Alpha value which suggests that the items designed are internally consistent, and a weighted mean value of 4.03 strongly supportsthe hypothesis that HEI experiences information overload.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 9789832078937 Organized by: School of Computing, UUM CAS, Universiti Utara Malaysia
Uncontrolled Keywords: information visualization, information overload, higher education institutions (HEI), institutional data management
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: School of Computing
Depositing User: Prof. Dr. Zulikha Jamaludin
Date Deposited: 30 Jun 2015 08:13
Last Modified: 28 Apr 2016 03:15
URI: http://repo.uum.edu.my/id/eprint/14704

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