2013 46th Hawaii International Conference on System Sciences 2013
DOI: 10.1109/hicss.2013.242
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Governing Individual Learning in the Transition Phase of Software Maintenance Offshoring: A Dynamic Perspective

Abstract: Prior studies suggest that clients need to actively govern knowledge transfer to vendor staff in offshore outsourcing. In this paper, we analyze longitudinal data from four software maintenance offshore outsourcing projects to explore why governance may be needed for knowledge transfer and how governance and the individual learning of vendor engineers interact over time. Our results suggest that self-control is central to learning, but may be hampered by low levels of trust and expertise at the outset of proje… Show more

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Cited by 6 publications
(12 citation statements)
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“…We chose systemdynamics simulation for two reasons. Prior case studies (Krancher and Dibbern 2012;Krancher and Slaughter 2013) gave insights into the basic processes of SMOO transitions. Prior case studies (Krancher and Dibbern 2012;Krancher and Slaughter 2013) gave insights into the basic processes of SMOO transitions.…”
Section: The System Dynamics Paradigmmentioning
confidence: 99%
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“…We chose systemdynamics simulation for two reasons. Prior case studies (Krancher and Dibbern 2012;Krancher and Slaughter 2013) gave insights into the basic processes of SMOO transitions. Prior case studies (Krancher and Dibbern 2012;Krancher and Slaughter 2013) gave insights into the basic processes of SMOO transitions.…”
Section: The System Dynamics Paradigmmentioning
confidence: 99%
“…Although support may positively affect the vendor engineer's learning outcomes, it may be contingent on the willingness of the SME to provide the support and on the ability and willingness of the vendor engineer to make use of the support (Krancher and Slaughter 2013). Many context factors in SMOO may hinder constructive interaction between the vendor engineer and the SME, such as cultural distance, language barriers, conflict, low expertise of the vendor engineer, and low familiarity Gregory et al 2009;Krancher and Slaughter 2013).…”
Section: Model 3: a Model Of Cognitive-load-based Learning And Dynamimentioning
confidence: 99%
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