2010
DOI: 10.1016/j.accinf.2010.09.007
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The influence of firm specific context on realizing information technology business value in manufacturing industry

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Cited by 43 publications
(19 citation statements)
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“…First, this study was limited to manufacturing firms, although it has been conjectured that the specific contexts of each firm may influence business processes that impact the relationships of the variables included in this study (Yao et al, 2010). Future studies conducted in other than manufacturing settings may also shed light on the generalizability of the theoretical positions developed here.…”
Section: Discussionmentioning
confidence: 99%
“…First, this study was limited to manufacturing firms, although it has been conjectured that the specific contexts of each firm may influence business processes that impact the relationships of the variables included in this study (Yao et al, 2010). Future studies conducted in other than manufacturing settings may also shed light on the generalizability of the theoretical positions developed here.…”
Section: Discussionmentioning
confidence: 99%
“…Studies has shown a weak link between information technology and value, which also known as IT paradox (Hitt and Brynjolfsson, 1996;Sircar, Turnbow, and Bordoloi, 2000). It is also claimed that it may take some time for the IT investment to fully reflect its value created (Yao, Liu, and Chan, 2010). On the other hand, researchers continue to evaluate the effect of XBRL towards information quality (Jiu-jin, Fu-sheng, and Yan-feng, 2013b;Perdana, 2013;Yuan, 2009), the usage of information in forecast accuracy (Boritz, Efendi, and Lim, 2013;Chunhui Liu, Yao, Sia, and Wei, 2013;Yoon et al, 2011), the issue of data accuracy (Farewell and Debreceny, 2010;Huang, Wang, and Wang, 2011;Q.…”
Section: Prior Literature On Extensible Business Reporting Language (mentioning
confidence: 97%
“…We also include R&D spending as a control variable as it has been shown to be an important variable in value-relevance studies (Lev and Sougiannis, 1996). Following Krishnan and Sriram (2000) and Yao et al (2010), Eq. (2) includes several additional control variables, such as Growth and Beta.…”
Section: Empirical Modelmentioning
confidence: 99%