IT Multisourcing Management : A Qualitative Study from the Vendor's Perspective

IT multisourcing is an outsourcing method that combines services of various different vendors in a single technology focused undertaking. This study investigates the benefits and disadvantages that an IT multisourcing setting presents to the vendor from a management perspective. As vendors are responding to client needs, studying their experiences can present valuable information for managing IT multisourcing projects for client companies and their decision makers. The study aims to gather as much information of multisourcing from the vendors’ perspective, but due to the main focus in previously conducted research articles being on the client’s side, there is a gap in research to be filled. This study aims to fill the gap by interviewing eight IT industry experts with experience from IT outsourcing and multisourcing projects. As multisourcing describes a situation where one client contracts two or more independent vendors on a single IT project or undertaking, it is also a situation where the different tasks assigned to vendors have some impact on each other. This is true in most cases, even though the vendors may operate independently from each other. It has been shown that multisourcing is only efficient when vendors are communicating with each other. This study also focuses on examining the communication and cooperation activities of the various operators in a multisourcing setting. Through examination of a selection of most ocmmonly used models in IT multisourcing, the thesis aims to expand the knowledge on what the benefits and disadvantages of IT multisourcing are as well as what the management challenges in these settings are with an emphasis on the vendor's view point

A tentative model for it outsourcing

Abstract: Outsourcing projects involve many stakeholders, including clients who transfer the operational responsibility of their business processes, and a vendor who accepts that responsibility. IT outsourcing applies when the transferred responsibilities are limited to IT‐related processes. Outsourcing clients seek to leverage on potential efficiency provided by the vendor, whereby the vendor delivers the same intended business results at a cheaper cost. Vendors potentially achieve these efficiencies through better subject matter expertise and economies of scale. Clients outsource processes considered nonstrategic while strategic processes are managed in‐house. Once a client decides to outsource ITrelated processes, the outsourcing strategy takes the form of one or more of five delivery models. This article portrays a proposed model for successful IT outsourcing. This model assists the outsourcing professional in navigating through the various steps of the outsourcing life span with a clearer awareness of likely causes and potential remedies applicable to the outsourcing strategy on any given outsourcing project

A Reference Model to Support Risk Identification in Cloud Networks

The rising adoption of cloud computing and increasing interconnections among its actors lead to the emergence of network-like structures and new associated risks. A major obstacle for addressing these risks is the lack of transparency concerning the underlying network structure and the dissemination of risks therein. Existing research does not consider the risk perspective in a cloud network’s context. We address this research gap with the construction of a reference model that can display such networks and therefore supports risk identification. We evaluate the reference model through real-world examples and interviews with industry experts and demonstrate its applicability. The model provides a better understanding of cloud networks and causalities between related risks. These insights can be used to develop appropriate risk management strategies in cloud networks. The reference model sets a basis for future risk quantification approaches as well as for the design of (IT) tools for risk analysis

Novel approaches for managing platform-based ecosystems

Digitalization challenges existing organizations and industries. The associated advancement changes the way organizations and their customers interact. This has increasingly fostered the emergence of platforms to facilitate such interaction. Online platforms are software or hardware infrastructures that serve as a foundation and facilitate the interaction between multiple parties (e.g., between organizations and users). Organizations create platforms as part of a larger ecosystem. One major challenge concerns the design of platform-based ecosystems so all participants benefit from their participation. The management of associated relationships with other ecosystem participants is consequently a key challenge and demands according foresight. Platform-based ecosystems are subject to research in the field of information systems. Thus, scientific literature addresses many corresponding research questions and provides valuable insights for both research and practice. However, organizations face numerous challenges when engaging in ecosystems. Such challenges are, e.g., to develop new ecosystems, to incentivize participants to participate in the ecosystem, to cooperate with other participants, and to monitor the ecosystem. In this respect, this doctoral thesis provides a brief overview of platform-based ecosystems and the respective participants therein. Further, the thesis addresses four key challenges in the context of platform-based ecosystems, and proposes novel approaches in order to overcome the challenges. The basis for the novel approaches stems from five research papers. The first and second research paper address the challenge of determining design options when developing new ecosystems via blockchain-enabled initial coin offerings. The papers feature a taxonomy and derive predominant archetypes by drawing on real-world cases. The third research paper addresses the challenge of incentivizing users to participate in platform-based ecosystems. The paper proposes an approach to model financial incentives concerning platform adoption. The fourth research paper proposes an approach to analyze organizational cooperation patterns for the purpose of innovation integration. The developed approach incorporates taxonomy development and enables organizations to determine cooperation characteristics to align the cooperation decision with the cooperation objectives. The fifth research paper addresses the challenge of monitoring customer sentiment on online platforms. The proposed design science research artefact includes a detector of negative sentiment such that organizations are able to identify when a negative sentiment develops, and intervene before users spread the sentiment, e.g., through comments. Each research paper answers a stand-alone research question in the realm of platform-based ecosystems and derives a theoretically founded and separately evaluated research artefact. The artefacts draw on underlying, well-established research methods that allow answering the respective problem statements. Since the problem statements are motived in a practical context, this thesis bridges the gap between a practically oriented problem and a theoretically founded solution. As a result, the derived insights contain a contribution for both, research in the field of Information Systems and practice audience, and encourage the engagement of both domains

ACUTA Journal of Telecommunications in Higher Education

In This Issue President\u27s Message From the ACUTA CEO Snapshots: What ls Your Campus Doing in the Cloud? Security in the Cloud Why ls My Head in the Clouds? Unified Communications: Challenge and Opportunity for Education 2015 ResNet lnfographic How Light Can Change the World A Case for Hybrid Cloud Snapshots: What ls Your Campus Doing in the Cloud? Cloud Hurdles Shift from Security to Contracts 201 5 lnstitutional Excellence Award Snapshots: What ls Your Campus Doing in the Cloud? 2015 Awards Honor lndividual

2015-2016 Lindenwood University Accelerated Degree Program Course Catalog

Lindenwood University Accelerated Degree Program Course Cataloghttps://digitalcommons.lindenwood.edu/catalogs/1175/thumbnail.jp