On June 4, 2018 our colleague Parisa Aasi, PhD student in IT Management and Governance group at DSV/Stockholm University has defended successfully her doctoral thesis entitled: “Information Technology Governance: The Role of Organizational Culture and Structure”. Her PhD thesis is available to be downloaded at the following link: http://su.diva-portal.org/smash/get/diva2:1195170/FULLTEXT01.pdf
On behalf of research group in IT Management and Governance I would like to congratulate Parisa Aasi for this great achievement. Some pictures from this event are included below.
Posted in At DSV, Event, IT Management, IT Management, Location, Media Content, PhD Dissertation, Photo, SYSLAB, Unit
Tagged IT Management, IT_Management, ITManagement
A new book on participatory enterprise modeling (EM) will come out later this summer.
This book is intended for anybody who wants to learn more about how to facilitate participatory modeling in practice and how to set up and carry out enterprise modeling projects. It does not require any in-depth knowledge about specific EM methods and tools, and can be used by students and lecturers for courses on participatory modeling, and by practitioners wanting to extend their knowledge of social and organizational topics to become an experienced facilitator and EM project manager.
J.Stirna, A.Persson: Enterprise Modeling: Facilitating the Process and the People, Springer, 2018, link
On May 14, 2018, Parisa Aasi has nailed her PhD thesis at DSV. Parisa Aasi is a PhD student in IT Management and Governance group at DSV and her PhD defence will take place on June 4, 2018 at 13.00 in L50 at DSV. A copy of her PhD thesis entitled “Information Technology Governance: The Role of Organizational Culture and Structure” is available to be downloaded at the following link http://su.diva-portal.org/smash/get/diva2:1195170/FULLTEXT01.pdf
A paper written by Parisa Aasi, Lazar Rusu, Dorothy Leidner, Erik Perjons and Corrales Estrada Martha and entitled “What is the role of organizational culture in IT governance performance of collaborative virtual networks?” has been accepted for publication in International Journal of IT/Business Alignment and Governance, Vol. 9, Issue 1, IGI Global, 2018.
A paper written by Filip Johansson and Lazar Rusu and entitled “Barriers to Agility in a Large Company’s IT Organization” has been accepted for publication in International Journal of Innovation in the Digital Economy, Vol. 10, Issue 1, IGI Global, 2019.
A paper written by Gideon Mekonnen Jonathan and Lazar Rusu and entitled “eGovernment Adoption Determinants from Citizens’ Perspective: A Systematic Literature Review” has been accepted for publication in International Journal of Innovation in the Digital Economy, Vol. 10, Issue 1, IGI Global, 2019.
A new book on capability management resulting from the work of the CaaS project will be available in June.
Sandkuhl K., Stirna J. (Eds.) Capability Management in Digital Enterprises, Springer, 2018
Deep learning based on various neural network architectures has seen tremendous success in recent years, substantially outperforming alternative learning approaches in fields such as natural language processing. By learning abstract representations through multiple processing layers, the learning task can be simplified while removing the need for carefully handcrafted features. Deep learning hence provides an effective paradigm for obtaining end-to-end learning models from complex data, such as the vast amounts of longitudinal and heterogeneous data that are stored in electronic health records. Learning general-purpose representations of patients can be useful for modeling patient trajectories and disease progression, supporting early prediction and detection of adverse events, such as healthcare-associated infections or adverse drug effects. There are numerous open research questions w.r.t. deep learning from healthcare data, including (i) effectively learning from small amounts of (labeled) data through, e.g., unsupervised pre-training, (ii) modeling the temporality of clinical events, and (iii) creating interpretable models that can be understood by clinical decision makers.
The PhD project involves designing novel deep learning architectures that address these challenges in order to make better use of heterogeneous healthcare data, in particular free-text clinical notes, for ultimately supporting healthcare by improving patient safety and reducing healthcare costs. In HEALTH BANK, we have access to eight years of specialized healthcare data from Karolinska University Hospital and are currently in the process of also obtaining primary care data, thereby allowing patients to be followed throughout the healthcare system.
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Information Systems unit at DSV will been the host for one month (January 22-February 22, 2018) of Odirlei Antonio Magnagnagno from Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil. Odirlei Antonio Magnagnagno is a PhD student in the research group of Professor Edimara Mezzomo Luciano at Business School at PUCRS. The purpose of Odirlei’s visit is to collaborate in research with IT Management and Governance group lead by Professor Lazar Rusu concerning the role of digital governance in an attempt to reduce levels of corruption in public organizations in Brazil.
Three research applications from the IS unit researchers have been approved. The applications were all sent to the Stockholm County Council (SLL) – Stockholm University Call in October 2017.
KVALPA: What quality indicators in the patient journal’s free text are needed to measure the quality of care? The project aims to create an automatic method for this through machine learning. Project leader: Hercules Dalianis
IMPROVE JANUSMED WITH PROCESS MINING. The project is about developing safer drug prescription by evaluating and improving Janusmed with process mining. Janusmed is a decision support system that controls and warns whether there is a risk of serious drug interactions as well as side effects due to enhanced effects when co-administered with multiple drugs. Stockholm County Council (SLL) provides, develops and manages Janusmed. Janusmed is available today on the web via janusinfo.se and is also integrated with the SLL journal systems. To the best of our knowledge, process mining has not yet been applied in any research project in Sweden. Project leader: Paul Johannesson. Participants: Amin Jalali, Erik Perjons (and Uno Fors in a limited role).
CAPABILITY AND VALUE-BASED CHANGE ANALYSIS OF THE 1177 VÅRDGUIDEN. The aim of the project is to develop a method to support the management organization for the 1177 Vårdguiden at SLL in assessing and analyzing how change proposals of the 1177 service, including affects on the various actors involved in the network around the service – and estimates of costs and benefits for the various actors. The method is based on (1) network-based analysis of the values and abilities of the various stakeholders in the network, and (2) on existing enterprise architecture of the management organization – in form of enterprise models such as value, process and information models over the 1177 service. Project leader: Erik Perjons. Participants: Martin Henkel, Ilia Bider (and Anders Tell in a limited role).