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dc.contributor.authorPalvia, Shailendra
dc.contributor.authorAnand, Ambuj
dc.date.accessioned2019-05-23T22:48:42Z
dc.date.available2019-05-23T22:48:42Z
dc.date.issued2017
dc.identifier.citationPalvia, S., Anand, A.B., Seetharam, P & Verma, S. (2017). Imperatives and Challenges in using E-Government to Combat Corruption : A Systematic Review of Literature and a Holistic Model Twenty-third Americas Conference on Information Systems. Retrieved from http://aisel.aisnet.org /cgi/viewcontent.cgi?article=l 262&context=a mcis2017en_US
dc.identifier.urihttp://hdl.handle.net/11718/21916
dc.description.abstractCorruption, both bureaucratic and political, exists in various forms. Causes and effects of corruption have been documented in various academic and practitioner forums. Developing countries are plagued by rampant corruption caused by several economic, cultural, social and regulatory factors and are struggling to make changes to control and combat corruption. e-Government and e-Participation systems can substantially reduce corruption. Through a comprehensive literature review of over 100 published papers, we analyze the different theoretical models, empirical data and conclusions relating to e-government and its role in combating corruption. We decoct and synthesize the review to evolve four dominant themes relating to the association of e-government with corruption and propose a holistic model of the same. We also examine the challenges associated with each of the themes. We believe this model can be validated by researchers in different contexts while such a holistic understanding can help practitioners view potential solutions differently.en_US
dc.subjectBribeen_US
dc.subjecttransparencyen_US
dc.subjectpublic administrationen_US
dc.subjectreengineeringen_US
dc.subjecte-participationen_US
dc.titleImperatives and challenges in using e-government to combat corruption: a systematic review of literature and a holistic modelen_US
dc.title.alternativeE-Government to Combat Corruption: A Systematic Reviewen_US
dc.typeArticleen_US


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