Empirical analysis of risk-taking behavior in IT platform migration decisions

Shim, Seonyoung; Chae, Myungsin; Lee, Byungtae

doi:10.1016/j.chb.2009.07.004

Cited by 13 publications

(7 citation statements)

References 53 publications

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“…Large bodies of motivational research exist in many disciplines including psychology (Deci & Ryan, 2000;Ryan, Huta, & Deci, 2013), economics (Festré & Garrouste, 2014), marketing (Kim, Park, & Oh, 2008;Muk & Chung, 2015), and management (Osterloh & Frey, 2000;Reinholt, Pedersen, & Foss, 2011). Yet the relationship between a motivation theory and ICT acceptance behavior has not been studied much with some exceptions (Hung, Durcikova, Lai, & Lin, 2011;Shim, Chae, & Lee, 2009;Venkatesh & Speier, 2000). Investigating motivational factors and their influences are crucial since they can be directly implemented into applications to increase their usage.…”

Section: Introductionmentioning

confidence: 99%

Relating motivation to information and communication technology acceptance: Self-determination theory perspective

Lee

Hwang

2015

Computers in Human Behavior

166

102

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Section: Introductionmentioning

confidence: 99%

Relating motivation to information and communication technology acceptance: Self-determination theory perspective

Lee

Hwang

2015

Computers in Human Behavior

166

102

View full text Add to dashboard Cite

“…And people differ in the way they make decisions. Shim et al state that the IT decision-maker's risk propensity was identified to have significant direct and indirect effects on IT platform migration decisions [27]. Ravichandran et al indicate that also gut feel and intuition play a role when making IT decisions [14].…”

Section: Decision Approachmentioning

confidence: 98%

Enterprise Architects Should Follow the Money

Berg

Vliet²

2014

2014 IEEE 16th Conference on Business Informatics

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Background: Enterprise architecture (EA) offers ways to steer and guide the design and evolution of the enterprise including its information technology (IT). One of the outputs of EA is improved decision-making about IT. Objective: This study aims to provide EA researchers and practitioners with insights into how IT decision-making actually takes place and what that means for them. Method: A systematic literature review was conducted in order to find and analyze primary studies about IT decision-making. Results: We found that IT investment and prioritization is by far the largest decision category. Money seems much more important than content. The IT decision-making process itself is subject to different variables and factors making every IT decision unique. We also found that both rational and bounded rational approaches are used in IT decision-making. EA has not a prominent role in IT decision-making. Conclusions: IT decision-making is a messy and complex process where money plays a prominent role. We argue that, if enterprise architects want to influence IT decision-making, they should follow the money by combining content with investment planning and prioritization. Further research is required into what distinguishes enterprise architects that are successful in IT decision-making, from those that are less successful.

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“…Some studies use formative constructs to represent the overall IP (e.g. Saya et al, 2010;Shim et al, 2009). Therefore, this study distinguished four types of institutional forces and coded "GP" for general IP, "CP" for coercive pressures, "MP" for mimetic pressures, and "NP" for normative pressures.…”

Section: Coding Of Correlations and Moderatorsmentioning

confidence: 99%

Status quo bias in information system adoption: a meta-analytic review

2016

OIR

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Purpose The purpose of this paper is to clarify the influence of status quo on information system (IS) adoption. Organizations often substantially allocate resources to leverage existing IT investments. The incumbent system deployment and the institutional environment will exert the influence on the new IS adoption of firms. The findings provide insights for explaining why firms conservatively react toward an emerging IT innovation. Design/methodology/approach The research design of the present study is consisted of the following steps. First, the related theoretical foundations of system adoption are reviewed for constructing the research framework. Second, based on the status quo bias theory, this study proposes a conceptual model. Third, the research data set was constructed through collecting manuscripts by conducting journal-by-journal searching in electronic databases. Finally, the protocol proposed by Lipsey and Wilson (2001) was used to conduct the meta-analysis. Findings Through a meta-analysis with 34 published studies, this study provides three observations. First, the results provide supports for the magnitude and significance of proposed relationships. Second, the relationships between status quo factors, expectations, and IS adoption are indeed related. Third, the considerable variability across effect sizes can be attributed to the type of adoption, the type of focal system, and the type of institutional pressures. Research limitations/implications Although the meta-analytic results provide supports for the significance and magnitude of proposed relationships, the follow-up manuscripts searching and further analyses are needed. Originality/value This research presents a collective understanding of systems adoption from status quo bias perspective. The findings provide insights for further researches on IS adoption.

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Empirical analysis of risk-taking behavior in IT platform migration decisions

Cited by 13 publications

References 53 publications

Relating motivation to information and communication technology acceptance: Self-determination theory perspective

Relating motivation to information and communication technology acceptance: Self-determination theory perspective

Enterprise Architects Should Follow the Money

Status quo bias in information system adoption: a meta-analytic review

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