A database for publications published by researchers and students at SimulaMet.
Status
Research area
Journal articles
Realizing benefits in public IT projects: A multiple case study
a journal (2022).Status: Submitted
Realizing benefits in public IT projects: A multiple case study
IT investments in the public sector are large, and it is essential that they lead to benefits for the organizations themselves and for the wider society. While there is evidence suggesting a positive connection between the existence of benefits management practices and benefits realization, less is known about how to implement such practices effectively. The paper aims to provide insights into when benefits are most likely to be realized, and how benefits management practices and roles should be implemented in order to have a positive effect on the projects’ success in terms of realizing benefits. The authors collected data relating to ten Norwegian public IT projects. For each project, they collected data on benefits management from project documents, by interviewing the project owners and benefits owners, and follow-up surveys. The benefits internal to the organization were those with the highest degree of realization, while the societal benefits were those with the lowest degree. Projects assessed to have more specific, measurable, accountable, and realistically planned benefits were more successful in realizing benefits. Benefits owners were most effective when they were able to attract attention towards the benefits to be realized, had a strong mandate, and had domain expertise.
| Afilliation | Software Engineering |
| Project(s) | EDOS: Effective Digitalization of Public Sector |
| Publication Type | Journal Article |
| Year of Publication | 2022 |
| Journal | a journal |
| Publisher | x |
Journal articles
Backsourcing of Information Technology - A Systematic Literature Review
Information Systems Research (2021).Status: Submitted
Backsourcing of Information Technology - A Systematic Literature Review
Context: Backsourcing is the process of insourcing previously outsourced activities. When companies experience environmental or strategic changes, or challenges with outsourcing, backsourcing can be a viable alternative. While outsourcing and related processes have been extensively studied in information technology, few studies report experiences with backsourcing.
Objectives: We intend to summarize the results of the research literature on the backsourcing of IT, with a focus on software development. By identifying practical relevance experience, we aim to present findings that may help companies considering backsourcing. In addition, we aim to identify gaps in the current research literature and point out areas for future work.
Method: Our systematic literature review (SLR) started with a search for empirical studies on the backsourcing of IT. From each study we identified the contexts in which backsourcing occurs, the factors leading to the decision to backsource, the backsourcing process itself, and the outcomes of backsourcing. We employed inductive coding to extract textual data from the papers identified and qualitative cross-case analysis to synthesize the evidence from backsourcing experiences.
Results: We identified 17 papers that reported 26 cases of backsourcing, six of which were related to software development. The cases came from a variety of contexts. The most common reasons for backsourcing were improving quality, reducing costs, and regaining control of outsourced activities. The backsourcing process can be described as containing five sub-processes: change management, vendor relationship management, competence building, organizational build-up, and transfer of ownership. Furthermore, we identified 14 positive outcomes and nine negative outcomes of backsourcing. Finally, we aggregated the evidence and detailed three relationships of potential use to companies considering backsourcing.
Conclusion: The backsourcing of IT is a complex process; its implementation depends on the prior outsourcing relationship and other contextual factors. Our systematic literature review may contribute to a better understanding of this process by identifying its components and their relationships based on the peer-reviewed literature. Our results may also serve as a motivation and baseline for further research on backsourcing and may provide guidelines and process fragments from which practitioners can benefit when they engage in backsourcing.
| Afilliation | Software Engineering |
| Project(s) | EDOS: Effective Digitalization of Public Sector, Department of IT Management |
| Publication Type | Journal Article |
| Year of Publication | 2021 |
| Journal | Information Systems Research |
| Publisher | Institute for Operations Research and the Management Sciences |
| Keywords | backshoring, Backsourcing, information technology, software development, Software Engineering, systematic literature review |
An AO-ADMM approach to constraining PARAFAC2 on all modes
arXiv (2021).Status: Submitted
An AO-ADMM approach to constraining PARAFAC2 on all modes
Analyzing multi-way measurements with variations across one mode of the dataset is a challenge in various fields including data mining, neuroscience and chemometrics. For example, measurements may evolve over time or have unaligned time profiles. The PARAFAC2 model has been successfully used to analyze such data by allowing the underlying factor matrices in one mode (i.e., the evolving mode) to change across slices. The traditional approach to fit a PARAFAC2 model is to use an alternating least squares-based algorithm, which handles the constant cross-product constraint of the PARAFAC2 model by implicitly estimating the evolving factor matrices. This approach makes imposing regularization on these factor matrices challenging. There is currently no algorithm to flexibly impose such regularization with general penalty functions and hard constraints. In order to address this challenge and to avoid the implicit estimation, in this paper, we propose an algorithm for fitting PARAFAC2 based on alternating optimization with the alternating direction method of multipliers (AO-ADMM). With numerical experiments on simulated data, we show that the proposed PARAFAC2 AO-ADMM approach allows for flexible constraints, recovers the underlying patterns accurately, and is computationally efficient compared to the state-of-the-art. We also apply our model to a real-world chromatography dataset, and show that constraining the evolving mode improves the interpretability of the extracted patterns.
| Afilliation | Machine Learning |
| Project(s) | Department of Data Science and Knowledge Discovery , TrACEr: Time-Aware ConstrainEd Multimodal Data Fusion |
| Publication Type | Journal Article |
| Year of Publication | 2021 |
| Journal | arXiv |
| Publisher | arXiv |
| URL | https://arxiv.org/abs/2110.01278 |
Journal articles
Revealing the State-of-the-Art in Large-Scale Agile Development: A Systematic Mapping Study
arXiv preprint arXiv:2007.05578 (2020).Status: Submitted
Revealing the State-of-the-Art in Large-Scale Agile Development: A Systematic Mapping Study
| Afilliation | Software Engineering |
| Project(s) | Department of IT Management |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Journal | arXiv preprint arXiv:2007.05578 |
| Publisher | arXiv |
