IT outsourcing risk management at British Petroleum

Aubert, Benoît A.; Patry, Michel; Rivard, Suzanne; Smith, Heather A.

doi:10.1109/hicss.2001.927191

Cited by 37 publications

(31 citation statements)

References 22 publications

(46 reference statements)

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“…This is of particular concern when there are questions regarding legal jurisdiction and the protection of intellectual property. While concepts of risk are traditionally focused on within the context of TCE (Aubert et al, 1998(Aubert et al, , 1999(Aubert et al, , 2001 or resource-based theories (e.g. Duncan, 1998), we suggest that the risk of sharing the knowledge resident in the application is a specific type of risk that firms take into account when making a sourcing decision.…”

Section: Schwarz Et Al/it Application Service Outsourcingmentioning

confidence: 99%

A Conjoint Approach to Understanding IT Application Services Outsourcing

Schwarz¹,

Jayatilaka²,

Hirschheim³

et al. 2009

JAIS

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The sourcing of application development is becoming increasingly complex. While much prior work has investigated sourcing in a homogeneous marketplace, sourcing choices have increased in complexity, with a myriad of choices ranging from insourcing to domestic outsourcing to engaging Application Service Providers (ASP) to offshoring . In this study, based upon four organizational theories (Transaction Cost, Resource-Based View, Resource-Dependence View, and the Knowledge-Based View of the Firm), we suggest 10 attributes that firms consider when deciding upon outsourcing of applications. We tested the attributes' strength by performing conjoint analysis on data collected from 84 IS executives. We constructed profiles, which are combinations of attributes having different levels. Each executive responded to 18 such distinct profiles and selected corresponding outsourcing choices. Our results found that the three most significant drivers of an IT application service choice were cost, risk, and vendor capability. However, the importance of these drivers varied across the different sourcing options. Based upon this, we offer implications for decision-makers and researchers, along with directions for future research.

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Section: Schwarz Et Al/it Application Service Outsourcingmentioning

confidence: 99%

A Conjoint Approach to Understanding IT Application Services Outsourcing

Schwarz¹,

Jayatilaka²,

Hirschheim³

et al. 2009

JAIS

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“…This case illustrates how risk management and learning can eventually transform risk into a "choice" rather than a "fate" (Aubert et al, 2001). British Petroleum, has extensive outsourcing experience, and a history of risk evaluation and management.…”

Section: Risk Management As a Series Of Compromisesmentioning

confidence: 99%

“…Using this theoretical framework, a list of potential negative outcomes and associated risk factors has been developed and validated using case studies (Aubert et al, 1999(Aubert et al, , 2001). The potential negative outcomes are related to three main categories: service, costs (of various forms), and externalities.…”

Section: Foundations Of Contractual Riskmentioning

confidence: 99%

Managing IT Outsourcing Risk: Lessons Learned

Aubert

Patry

Rivard

2002

Information Systems Outsourcing

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CIRANOLe CIRANO est un organisme sans but lucratif constitué en vertu de la Loi des compagnies du Québec. Reproduction partielle permise avec citation du document source, incluant la notice ©. Short sections may be quoted without explicit permission, if full credit, including © notice, is given to the source. ISSN 1198-8177Ce document est publié dans l'intention de rendre accessibles les résultats préliminaires de la recherche effectuée au CIRANO, afin de susciter des échanges et des suggestions.

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“…Formula (16) indicates that the objective of real baselevel is to maximize agent's benefit; formula (17) indicates the reward and penalty function based on the duration; formula (18) indicates the saved risk loss of subproject; formula (19) indicates that the sum of used risk management capital is not greater than the risk management capital which is allocated to subproject; formula (20) represents the cost that should not be beyond the upper bound of cost for subproject ; formula (21) represents a set of the real base-level variables; formula (22) represents the value range of that is the decision variable in the real base-level model.…”

Section: 33mentioning

confidence: 99%

“…Then, he argued that the risk of IT outsourcing came from enterprises, agents, and the process of IT activities and proposed corresponding risk management measures based on principal-agent theory [17][18][19]. Bahli and Rivard proposed a scenario-based conceptualization of the IT outsourcing risk and applied it to the specific context of IT outsourcing using transaction cost and agency theory [20].…”

Section: Introductionmentioning

confidence: 99%

Simulated Annealing Genetic Algorithm Based Schedule Risk Management of IT Outsourcing Project

Huang

et al. 2017

Mathematical Problems in Engineering

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IT outsourcing is an effective way to enhance the core competitiveness for many enterprises. But the schedule risk of IT outsourcing project may cause enormous economic loss to enterprise. In this paper, the Distributed Decision Making (DDM) theory and the principal-agent theory are used to build a model for schedule risk management of IT outsourcing project. In addition, a hybrid algorithm combining simulated annealing (SA) and genetic algorithm (GA) is designed, namely, simulated annealing genetic algorithm (SAGA). The effect of the proposed model on the schedule risk management problem is analyzed in the simulation experiment. Meanwhile, the simulation results of the three algorithms GA, SA, and SAGA show that SAGA is the most superior one to the other two algorithms in terms of stability and convergence. Consequently, this paper provides the scientific quantitative proposal for the decision maker who needs to manage the schedule risk of IT outsourcing project.

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IT outsourcing risk management at British Petroleum

Cited by 37 publications

References 22 publications

A Conjoint Approach to Understanding IT Application Services Outsourcing

A Conjoint Approach to Understanding IT Application Services Outsourcing

Managing IT Outsourcing Risk: Lessons Learned

Simulated Annealing Genetic Algorithm Based Schedule Risk Management of IT Outsourcing Project

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