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The Adoption of Process Management for Accounting Information Systems in Thailand

<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/10001655" mdate="2015-06-05 00:00:00"> <author>Manirath Wongsim and Pawornprat Hongsakon</author> <title>The Adoption of Process Management for Accounting Information Systems in Thailand</title> <pages>1320 - 1328</pages> <year>2015</year> <volume>9</volume> <number>5</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/10001655</ee> <url>https://publications.waset.org/vol/101</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>Information Quality (IQ) has become a critical, strategic issue in Accounting Information Systems (AIS) adoption. In order to implement AIS adoption successfully, it is important to consider the quality of information use throughout the adoption process, which seriously impacts the effectiveness of AIS adoption practice and the optimisation of AIS adoption decisions. There is a growing need for research to provide insights into issues and solutions related to IQ in AIS adoption. The need for an integrated approach to improve IQ in AIS adoption, as well as the unique characteristics of accounting data, demands an AIS adoption specific IQ framework. This research aims to explore ways of managing information quality and AIS adoption to investigate the relationship between the IQ issues and AIS adoption process. This study has led to the development of a framework for understanding IQ management in AIS adoption. This research was done on 44 respondents as ten organisations from manufacturing firms in Thailand. The findings of the research&amp;rsquo;s empirical evidence suggest that IQ dimensions in AIS adoption to provide assistance in all process of decision making. This research provides empirical evidence that information quality of AIS adoption affect decision making and suggests that these variables should be considered in adopting AIS in order to improve the effectiveness of AIS.</abstract> <index>Open Science Index 101, 2015</index> </article>