{"title":"IS/IT Backsourcing decision making - A design science research approach","authors":"Jacky Akoka , Isabelle Comyn-Wattiau","doi":"10.1016/j.dss.2024.114379","DOIUrl":null,"url":null,"abstract":"<div><div>Many organizations implement outsourcing solutions for information systems and/or information technology (IS/IT). Some of them face problems resulting from dissatisfaction with these outsourcing decisions. Reasons for dissatisfaction include an outsourcing agreement that did not meet expectations, organizational changes, and a loss of control over the business. As a result, companies are rethinking their existing contracts by adopting a backsourcing solution. IS/IT backsourcing refers to the full or partial repatriation of previously outsourced activities. Given the strategic stakes of backsourcing, it is imperative to develop a decision-making process based on a solid framework. Based on an extensive literature review, we propose a design science research (DSR) approach consisting of four artifacts: a set of requirements, a conceptual framework, a decision model, and a prototype to support decision makers considering IS/IT backsourcing issues. A validation is presented, consisting of an illustrative scenario, a logical argument, and an expert evaluation. In addition, the approach was compared with recommendations found in the literature. Finally, the comments of a panel of IS/IT experts were collected. Our decision support system can be used by decision makers to investigate the backsourcing of IS/IT activities, choosing between three scenarios: backsource, renegotiate the contract, or change vendor.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"189 ","pages":"Article 114379"},"PeriodicalIF":6.7000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision Support Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167923624002124","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Many organizations implement outsourcing solutions for information systems and/or information technology (IS/IT). Some of them face problems resulting from dissatisfaction with these outsourcing decisions. Reasons for dissatisfaction include an outsourcing agreement that did not meet expectations, organizational changes, and a loss of control over the business. As a result, companies are rethinking their existing contracts by adopting a backsourcing solution. IS/IT backsourcing refers to the full or partial repatriation of previously outsourced activities. Given the strategic stakes of backsourcing, it is imperative to develop a decision-making process based on a solid framework. Based on an extensive literature review, we propose a design science research (DSR) approach consisting of four artifacts: a set of requirements, a conceptual framework, a decision model, and a prototype to support decision makers considering IS/IT backsourcing issues. A validation is presented, consisting of an illustrative scenario, a logical argument, and an expert evaluation. In addition, the approach was compared with recommendations found in the literature. Finally, the comments of a panel of IS/IT experts were collected. Our decision support system can be used by decision makers to investigate the backsourcing of IS/IT activities, choosing between three scenarios: backsource, renegotiate the contract, or change vendor.
期刊介绍:
The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).