Understanding the Emergent Structure of Competency Centers in Post-implementation Enterprise Systems

Abstract

Part 3: Structures and NetworksInternational audiencePrior research provides conflicting insights about the link between investment in enterprise systems and firm value and in the ES governance mechanisms. The literature generally suggests that management should cultivate its technical and organizational expertise to derive value from currently deployed Enterprise Systems (ES) [8]. In the realm of practice, ERP vendors and configuration/integration partners strongly recommend the creation of an organizational structure to govern the ERP implementation and post-implementation process to improve project success and extract greater value from the ES investment. The ES literature, while unclear on the formation, and functioning of ES governance units, suggests the need for formal and fixed governance structures. This research utilizes Deleuze’s assemblage theory and emergence theory to explain the genesis and evolution of the governing ‘structure’ known as the Competency Center (CC). Our results illustrate the business needs driving the structuring processes behind the CC, are also those that lead to unintended and destabilizing outcomes. Whether the CC ‘assemblage’ survives to provide value depends on how the emergent issues are handled and how the assemblages are “positioned”. This research suggests effective ES governance is not derived from a prescribed step-wise process yielding formal structures, but rather form an organic process of assemblage

The emerging big data analytics and IoT in supply chain management: a systematic review

“…We scrutinized each evidence word that makes up these concepts against our data set and removed the dataset that were irrelevant. For the last stage of analyzing focus, relevant issues and trends in the literature, the latent semantic analysis method was adopted using Leximancer, which allows more rapid, reliable and consistent content analysis (Aryal et al, 2014;Crofts and Bisman, 2010;Rooney et al, 2006). Figure 1 describes the review process followed for this study.…”

“…For that research purpose, we selected a popular semantic analysis software, Leximancer. While we did not find supply chain related studies utilizing Leximancer, it has been used to analyze contents and relationships between concepts from contextual data in research of information system (Aryal et al, 2014;Crawford and Hasan, 2006;Debuse et al, 2008), accounting (Crofts and Bisman, 2010), social and cultural studies (Cretchley et al, 2010) and education (Rooney et al, 2006). The overall process of latent semantic analysis in Leximancer is depicted in Figure 2.…”