Author List: Ross, Jeanne W.; Vitale, Michael R.; Beath, Cynthia Mathis;
MIS Quarterly, 1999, Volume 23, Issue 2, Page 215-237.
The received wisdom on information technology (IT) chargeback is that a chargeback system with certain key characteristics, such as usage-based charges, stable rates, understandable bills, and so forth, will help firms make effective decisions on IT investment and use. Eccles' model of transfer pricing provides a theoretical framework for this claim, and it also explains why chargeback systems can raise issues of fairness or create conflict between IT and its clients, as the IT literature has pointed out. Applying Eccles' model, this paper reports on a study of 10 organizations' IT chargeback systems and their impacts on business managers' economic decisions and on evaluations of IT and business unit performance. Respondents in just four of the 10 firms reported that chargeback had significantly influenced IT investment decisions. In addition, the business unit respondents at those same four firms offered more positive assessments of IT than their counterparts at other sites. These differences in chargeback-related outcomes could not be accounted for by looking at differences in the chargeback characteristics that are most commonly described in the IT literature. What was different in these four firms was that chargeback was being used to foster communication between IT and the business units. This communication was generating a rich shared understanding for both parties of the costs and benefits of alternative IT investments and service offerings. The literature on partnership argues that complex IT investment decisions demand a strong IT-business partnership. The analysis suggests that IT units in just four of the 10 firms were tapping into the potential of chargeback to facilitate the development of a partnership with their business unit counterparts.
Keywords: IS management; IS performance assessment; IT chargeback; IT value; partnership; transfer pricing
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#271 0.123 technology investments investment information firm firms profitability value performance impact data higher evidence diversification industry payoff return findings decisions greater
#214 0.120 resource resources allocation chargeback manager effectiveness problem firms case gap allocating diverse dependence just bridge cooperative criticality acquisition duplication extent
#68 0.106 business units study unit executives functional managers technology linkage need areas information long-term operations plans mission large understand knowledge current
#4 0.086 characteristics experience systems study prior effective complexity deal reveals influenced companies type analyze having basis conducted determine complex comparative drive
#112 0.074 services service network effects optimal online pricing strategies model provider provide externalities providing base providers fee complementary demand offer derive
#157 0.070 evaluation effectiveness assessment evaluating paper objectives terms process assessing criteria evaluations methodology provides impact literature potential important evaluated identifying multiple
#116 0.067 research study influence effects literature theoretical use understanding theory using impact behavior insights examine influences mechanisms specifically context perspective findings
#145 0.061 differences analysis different similar study findings based significant highly groups popular samples comparison similarities non-is variety reveals imitation versus suggests
#150 0.051 issues management systems information key managers executives senior corporate important importance survey critical corporations multinational managing interviews study results concerns