IS

Cha, Hoon S.

Topic Weight Topic Terms
0.514 outsourcing vendor client sourcing vendors clients relationship firms production mechanisms duration mode outsourced vendor's effort
0.265 costs cost switching reduce transaction increase benefits time economic production transactions savings reduction impact services
0.189 learning model optimal rate hand domain effort increasing curve result experts explicit strategies estimate acquire
0.127 knowledge transfer management technology creation organizational process tacit research study organization processes work organizations implications
0.108 knowledge application management domain processes kms systems study different use domains role comprehension effective types

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Pingry, David E. 2 Thatcher, Matt E. 2
organizational learning 2 backshoring 1 coordination 1 economic analysis 1
IT offshoring 1 IT outsourcing 1 knowledge management 1 knowledge 1
learning-by-doing 1 modeling 1 offshore outsourcing 1 outsourcing 1
production costs 1 software development 1 vendor--client relationship 1

Articles (2)

A Learning Model of Information Technology Outsourcing: Normative Implications. (Journal of Management Information Systems, 2009)
Authors: Abstract:
    We use an economic learning model to examine how knowledge parameters characterizing a sourcing relationship between a vendor and a client interact with production costs and coordination costs to affect the business value of alternative outsourcing strategies. This information is then used to determine a firm's optimal rate of information technology (IT) outsourcing. We find that the optimal outsourcing rate is dependent on the ability of the outsourcing client to acquire production knowledge from its outsourcing vendor and to retain its internal coordination knowledge despite losses of fundamental production skills due to outsourcing. Specifically, when the client is unable to acquire sufficient production knowledge from the external vendor, the client's optimal outsourcing decision is to engage in either one of two extreme strategies--total insourcing or total outsourcing--depending on the rate at which the client's coordination knowledge depreciates. On the other hand, when the client is able to acquire a substantial amount of production knowledge from the external vendor, the firm's optimal decision is to outsource only a portion of its IT services, where the proportion depends on the rate at which the client's coordination knowledge depreciates.
MANAGING THE KNOWLEDGE SUPPLY CHAIN: AN ORGANIZATIONAL LEARNING MODEL OF INFORMATION TECHNOLOGY OFFSHORE OUTSOURCING. (MIS Quarterly, 2008)
Authors: Abstract:
    In this paper, we present an economic learning model that helps to formalize the complex relationships among an offshoring firm's knowledge levels, production costs, and coordination costs. Specifically, we model a domestic firm's use of a selective offshore strategy (i.e., offshoring only a portion of its information technology activities) to exploit, through IT investments or contractual provisions, the foreign vendor's large, scale-driven repository of production knowledge. We illustrate the conditions under which knowledge transfers during offshoring may reduce a domestic firm's in-house production costs, leading to total cost savings in both the short term and the long term. Alternatively, when knowledge transfers are not sufficiently large, some short-lived offshoring projects may generate substantial cost savings to the domestic firm; however, long-lived offshoring projects may cause a disruption in the knowledge supply chain, resulting in substantial losses in the later stages of the project. A firm that fails to realize the costs associated with such a disruption soon enough in the project life may find itself locked into a disadvantageous offshoring agreement without any recourse. However, a domestic firm may be able to overcome a disruption in its knowledge supply chain by exploiting the learning-by-doing production knowledge generated by the foreign vendor's economies of scale. The managerial implications derived from our learning model may help guide firms as they consider the impacts of offshore contracts and knowledge management investments on firm knowledge, production costs, and coordination costs.