Research on IT value: what we have done in Asia and Europe

Chau, Patrick Y.K.; Kuan, Kevin K. Y.; Liang, Ting‐Peng

doi:10.1057/palgrave.ejis.3000666

Cited by 33 publications

(27 citation statements)

References 16 publications

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“…More specifically, we use the following reviews, which are listed in chronological order and described in detail in the appendix: (Kauffman and Weill 1989;DeLone and McLean 1992;Brynjolfsson 1993;Soh and Markus 1995;Brynjolfsson and Yang 1996;Potthof 1998;Sircar et al 1998;Seddon et al 1999;Bannister and Remenyi 2000;Chan 2000;Devaraj and Kohli 2000;Dehning and Richardson 2002;Irani and Love 2002;Sylla and Wen 2002;Dedrick et al 2003;Melville et al 2004;Walter and Spitta 2004;Piccoli and Ives 2005;Chau et al 2007;Wan et al 2007;Kohli and Grover 2008;Pare et al 2008).…”

Section: Research Design and Methodologymentioning

confidence: 99%

“…Studies of decision practice indicate that managers often avail themselves of relatively simplistic cost-benefit analysis in the context of traditional capital budgeting (Bannister and Remenyi 2000;Irani and Love 2002;Chau et al 2007). However, beyond traditional capital budgeting, many more approaches have been proposed, such as those related to measuring accounting or market-based measures (see the discussion above).…”

Section: Methodsmentioning

confidence: 99%

“…We find broad consensus in the literature that important dimensions of IS business value are "performance measure" (DeLone and McLean 1992; Barua et al 1995;Dehning and Richardson 2002;Melville et al 2004;Chau et al 2007), the "level of measurement" (Bakos 1987;Brynjolfsson 1993;Dehning and Richardson 2002;Pare et al 2008), the "type of IS asset" (Weill 1992;Mahmood and Mann 1993;Rai et al 1997;Seddon et al 1999;Sircar et al 2000;Melville et al 2004), "methods" (Chan 2000;Irani and Love 2002;Chau et al 2007;Pare et al 2008), and "influencing factors" (contextual factors, lag effects, risk) (Weill and Olson 1989;Barua et al 1995;Davern and Kauffman 2000;Stiroh 2002;Ko and Osei-Bryson 2004;Melville et al 2004;Dewan et al 2007). While these dimensions address the measurement of IS performance, researchers also stress the importance of questioning what the value of a particular performance is (Dehning and Richardson 2002;Alshawi et al 2003).…”

Section: Key Areas Of Is Business Value Researchmentioning

confidence: 99%

“…Brynjolfsson and Yang (1996) argue in favor of firm level, as going down to this level helps to control many problems from aggregation. The reviews of Chan (2000), Chau et al (2007) and Wan et al (2007) reveal that the firm level has attracted most of researchers' interest in the past (about 80% of all studies investigated). Their results also show that very few studies combine multiple-level approaches and that research at the individual level has been particularly underemphasized.…”

Section: Level Of Measurementmentioning

confidence: 99%

“…A widely used classification distinguishes individual level, firm level, industry level and economy level (Bakos 1987;Kauffman and Weill 1989;Brynjolfsson and Yang 1996;Devaraj and Kohli 2000;Chau et al 2007). In addition, research also analyzes consumer surplus (Bakos 1987;Brynjolfsson and Yang 1996;Devaraj and Kohli 2000).…”

Section: Is Business Valuementioning

confidence: 99%

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Preserving Knowledge on IS Business Value

Schryen

2010

Bus Inf Syst Eng

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Based on a comprehensive literature search, this meta review analyzes to what extent past literature reviews on IS business value have covered key research areas and preserved their key findings. The results show that while some areas have been explored extensively, some other crucial areas, such as accounting performance, the growth of intangible assets, and the differentiation between economic output and derived or perceived value, have been neglected. They need to be considered in future reviews. The results also reveal those research areas where even primary research is weak and needs to get intensified before literature reviews can be applied to synthesize findings.

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Section: Research Design and Methodologymentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Key Areas Of Is Business Value Researchmentioning

confidence: 99%

Section: Level Of Measurementmentioning

confidence: 99%

Section: Is Business Valuementioning

confidence: 99%

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Preserving Knowledge on IS Business Value

Schryen

2010

Bus Inf Syst Eng

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Agency satisfaction with electronic record management systems: A large‐scale survey

Hsu

et al. 2010

J. Am. Soc. Inf. Sci.

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We investigated agency satisfaction with an electronic record management system (ERMS) that supports the electronic creation, archival, processing, transmittal, and sharing of records (documents) among autonomous government agencies. A factor model, explaining agency satisfaction with ERMS functionalities, offers hypotheses, which we tested empirically with a large-scale survey that involved more than 1,600 government agencies in Taiwan. The data showed a good fit to our model and supported all the hypotheses. Overall, agency satisfaction with ERMS functionalities appears jointly determined by regulatory compliance, job relevance, and satisfaction with support services. Among the determinants we studied, agency satisfaction with support services seems the strongest predictor of agency satisfaction with ERMS functionalities. Regulatory compliance also has important influences on agency satisfaction with ERMS, through its influence on job relevance and satisfaction with support services. Further analyses showed that satisfaction with support services partially mediated the impact of regulatory compliance on satisfaction with ERMS functionalities, and job relevance partially mediated the influence of regulatory compliance on satisfaction with ERMS functionalities. Our findings have important implications for research and practice, which we also discuss.

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