Soft Set Theory Based Decision Support System for Mining Electronic Government Dataset

Electronic government (e-gov) is applied to support performance and create more efficient and effectivepublicservices.Groupingdatainsoft-settheorycanbeconsideredasadecision-making techniquefordeterminingthematuritylevelofe-governmentuse.Sofar,theuncertaintyofthedata obtainedthroughthequestionnairehasnotbeenmaximallyusedasanappropriatereferenceforthe governmentindeterminingthedirectionoffuturee-govdevelopmentpolicy.Thisstudypresents themaximumattributerelative(MAR)basedonsoftsettheorytoclassifyattributeoptions.The resultsshowthatfacilitationconditions(FC)arethehighestvariableininfluencingpeopletouse e-government,followedbyperformanceexpectancy(PE)andsystemquality(SQ).Theresultsprovide usefulinformationfordecisionmakerstomakepoliciesabouttheircitizensandpotentiallyprovide recommendationsonhowtodesignanddevelope-governmentsystemsinimprovingpublicservices. KEyWoRDS Decision-Making, E-Government, Facilitation Conditions, Maximum Attribute Relative, Performance Expectancy, Soft-Set Theory, System Quality

[1]  Feng-Hsu Wang,et al.  On Application of Rough Data Mining Methods to Automatic Construction of Student Models , 2001, PAKDD.

[2]  Mustafa Mat Deris,et al.  Applying variable precision rough set model for clustering student suffering study's anxiety , 2012, Expert Syst. Appl..

[3]  Tutut Herawan,et al.  A novel soft set approach in selecting clustering attribute , 2012, Knowl. Based Syst..

[4]  D. A. Nembhard,et al.  Association Rule Mining in Developmental Psychology , 2012 .

[5]  Jemal H. Abawajy,et al.  A rough set approach for selecting clustering attribute , 2010, Knowl. Based Syst..

[6]  D. Molodtsov.  Soft set theory—First results , 1999 .

[7]  Z. Irani,et al.  Transforming government: people, process, and policy , 2013 .

[8]  Yogesh Kumar Dwivedi,et al.  Analysing challenges, barriers and CSF of egov adoption , 2013 .

[9]  Iwan Tri Riyadi Yanto,et al.  An Application of Rough Set Theory for Clustering Performance Expectancy of Indonesian e-Government Dataset , 2016, SCDM.

[10]  Sujeet Kumar Sharma,et al.  Adoption of e-government services: The role of service quality dimensions and demographic variables , 2015 .

[11]  Tutut Herawan,et al.  Mining Significant Association Rules from on Information and System Quality of Indonesian E-Government Dataset , 2016, SCDM.

[12]  Dong-Young Kim,et al.  E-government maturity model using the capability maturity model integration , 2010, J. Syst. Inf. Technol..

[13]  P. Woods,et al.  Exploring citizen perceptions of barriers to e-government adoption in a developing country , 2014 .

[14]  Mutaz M. Al-Debei,et al.  The imperative of influencing citizen attitude toward e-government adoption and use , 2015, Comput. Hum. Behav..

[15]  Mohd Farhan Md Fudzee,et al.  The Critical Factors Affecting e-Government Adoption in Indonesia: A Conceptual Framework , 2017 .

[16]  Vishanth Weerakkody,et al.  E-government adoption: A cultural comparison , 2008, Inf. Syst. Frontiers.

[17]  Marie Christine Roy,et al.  Factors influencing e-government use in non-urban areas , 2015, Electronic Commerce Research.

[18]  Deden Witarsyah Jacob,et al.  A conceptual study on generic end users adoption of e-government services , 2017 .

[19]  Ljiljana Kascelan,et al.  A Data Mining Approach for Risk Assessment in Car Insurance: Evidence from Montenegro , 2014, Int. J. Bus. Intell. Res..

[20]  Mustafa Mat Deris,et al.  MAR: Maximum Attribute Relative of soft set for clustering attribute selection , 2013, Knowl. Based Syst..

[21]  Sebastian Stier,et al.  Political determinants of e-government performance revisited: Comparing democracies and autocracies , 2015, Gov. Inf. Q..

[22]  David C. Yen,et al.  Factors affecting online tax filing - An application of the IS Success Model and trust theory , 2015, Comput. Hum. Behav..

[23]  Jiunn-Woei Lian,et al.  Critical factors for cloud based e-invoice service adoption in Taiwan: An empirical study , 2015, Int. J. Inf. Manag..

[24]  Jerzy W. Grzymala-Busse,et al.  Rough Sets , 1995, Commun. ACM.