2012
DOI: 10.1016/j.jsis.2012.04.004
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A multi-level investigation of information technology outsourcing

Abstract: This study proposes and tests a model of the information technology (IT) outsourcing decision that includes antecedents of both transaction costs and production costs. Production costs show the most robust influence on governance. Skills required to execute the activities, interdependence between the activities, and firm-level characteristics -uncertainty and knowledge intensity -are the main explanatory variables of the decision. Transaction-level uncertainty is the only transaction cost variable found to inf… Show more

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Cited by 48 publications
(28 citation statements)
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References 43 publications
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“…IaaS and PaaS enable organizations to outsource technically complex tasks (e.g., managing infrastructures of assets with extensive availability and security requirements and uncertain load surges) to an external vendor while ensuring that tasks requiring integrative knowledge of the business, processes, and environment of an organization remain in-house (e.g., highly customized software that supports core business processes and that yields a competitive advantage). This argument is supported by the findings of Aubert et al (2012), who report that organizations are more likely to outsource if the degree of technical skills required is high (high technical complexity) and are less likely to outsource if the degree of business-related skills is high (high human asset specificity). In this vein, assets with high technical complexity and low human asset specificity may be more suitable for SaaS solutions because with decreasing human asset specificity, the tasks to execute can be served by standardized software services with open APIs to connect to more specific business functions or assets within an organization.…”
Section: Asset Characteristicsmentioning
confidence: 87%
“…IaaS and PaaS enable organizations to outsource technically complex tasks (e.g., managing infrastructures of assets with extensive availability and security requirements and uncertain load surges) to an external vendor while ensuring that tasks requiring integrative knowledge of the business, processes, and environment of an organization remain in-house (e.g., highly customized software that supports core business processes and that yields a competitive advantage). This argument is supported by the findings of Aubert et al (2012), who report that organizations are more likely to outsource if the degree of technical skills required is high (high technical complexity) and are less likely to outsource if the degree of business-related skills is high (high human asset specificity). In this vein, assets with high technical complexity and low human asset specificity may be more suitable for SaaS solutions because with decreasing human asset specificity, the tasks to execute can be served by standardized software services with open APIs to connect to more specific business functions or assets within an organization.…”
Section: Asset Characteristicsmentioning
confidence: 87%
“…For example, in the presence of specific assets, Barthelemy and Geyer (2005) observed that firms used subsidiaries instead of relying on ITO. Loebbecke and Huyskens (2006) and Aubert et al (2012) could not find support for the role of asset specificity in the ITO decision. On the contrary, Aubert et al (2004) and Hanafizadeh and Zare Ravasan (2018a) found asset specificity to be positively linked to ITO.…”
Section: Technology Factorsmentioning
confidence: 88%
“…However, reviewing the studies that use the TCE framework, one can find contradicting conclusions on seemingly similar issues. For example, Thouin et al [28] find empirical support for the original claims of Williamson's theory in the context of IT outsourcing, while Aubert et al [29] claim a bigger role of uncertainty compared to asset specificity, which is completely opposite to the original TCE theory.…”
Section: Transaction-cost Economicsmentioning
confidence: 99%