Gustaf Juell-Skielse

Gustaf Juell-Skielse


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Arbetar vid Institutionen för data- och systemvetenskap
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Besöksadress Nodhuset, Borgarfjordsgatan 12
Postadress Institutionen för data- och systemvetenskap 164 07 Kista

Om mig

Gustaf Juell-Skielse är docent vid institutionen för Data- och systemvetenskap där han bedriver forskning och undervisning i bl.a. affärssystem, e-förvaltning och digital innovation. Ny publikation:

Hjalmarsson Jordanius, A., Juell-Skielse, G., & Kailas, A. (2019, January). Digital Innovation and Incubators: A Comparative Interview Study from the Perspective of the Automotive Industry. In Proceedings of the 52nd Hawaii International Conference on System Sciences.


Juell-Skielse undervisar i flera ämnen relaterade till utveckling och implementering av informationssystem, inklusive affärssystem, offentliga informationssystem och digitala strategier och förändringshantering. Han är också lärare för doktorandkurser inom bl.a. forskningsetik inom datavetenskap och systemvetenskap. Sedan 2002 har han utvecklat mer än 30 kandidat- och masterkurser med en blandning av traditionella och distansbaserade pedagogiska format. Han har redigerat en lärobok i Affärssystem och medförfattat en bok om Öppen Digital Innovation (2017), publicerad av förlaget Springer.


Juell-Skielse erhöll doktorsexamen från Stockholms universitet 2011 och civilingenjörsexamen i industriell ekonomi från Kungliga Tekniska Högskolan 1989. Han blev docent 2015 vid Institutionen för datavetenskap och systemvetenskap vid Stockholms universitet där han har en anställning som universitetslektor. Hans forskning är inriktad på e-förvaltning, digital tjänsteinnovation och effektiv användning av affärssystem. Han har publicerat mer än 30 granskade akademiska artiklar. Dessutom har han näsrmare femton års erfarenhet som managementkonsult med Accenture och Acando och har varit projektledare för flera projekt inom e-förvaltning och affärssystem. Han innehar en deltidsanställning som seniorforskare vid RISE Viktoria och är för närvarande gästforskare vid Queensland University of Technology i Brisbane, Australien.


I urval från Stockholms universitets publikationsdatabas
  • Artikel Unveiling DRD
    2018. Workneh Y. Ayele (et al.). Systems, Signs & Actions 11 (1), 25-53

    The growing open data market opens possibilities for the development of viable digital artifacts that facilitate the creation of social and business values. Contests are becoming popular means to facilitate the development of digital artifacts utilizing open data. The increasing popularity of contests gives rise to a need for measuring contest performance. However, the available measurement model for digital innovation contests, the DICM-model, was designed based on a single case study and there is a need for a methodological approach that can accommodate for contests’ variations in scope. Therefore, we use design science to construct a nine-step method, the DRD method, to design and refine DICM-models. The DRD-method is designed using goal- and quality oriented approaches. It extends innovation measurement to the application domain of digital innovation contests and provides an improvement of innovation measurement as it offers a new solution for a known problem. The DRD-method provides comprehensive support to practice for designing and refining DICM-models and supports reflection and organizational learning across several contests. For future study, we suggest an ex-post evaluation of the method inconjunction with real contests and systematic efforts to generalize the method within as well as beyond the context of the contest. Finally, we propose to further investigate the potential of topdown and goal oriented approaches to measure open and iterative forms of innovation.

  • 2018. Workneh Y. Ayele, Gustaf Juell-Skielse. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 1113-1119

    Self-driving cars are becoming popular topics in academia. Consumers of self-driving cars and vehicles have different concerns, for example, safety and security, to name a few. Also, the public sector has interests in self-driving cars such as amending policies to enable the management of self-driving vehicles in cities, urban planning, traffic management and, etc. In this paper, more than 2700 corpus are extracted from literature from several subject areas to identify latent (hidden) topics of self-driving cars. Latent Dirichlet Allocation (LDA) is used for topic identification. The result of this study shows that topics identified are valid research areas such as urban planning, driver car (computer) interaction, self-driving control and system design, ethics in self-driving cars, safety and risk assessment, training dataset quality and machine learning in self-driving cars are among the topics identified. Furthermore, the network visualization of association graph of terms shows that the most frequently discussed concepts reveal that control of self-driving cars is based on algorithms, data, design, method, and model. The methods used in this study and the results can be used as decision tools, if carefully applied, in diverse disciplines that are disrupted by the introduction of self-driving cars. For future study, we plan to extend this study with a larger dataset and other data mining techniques.

  • 2017. Gustaf Juell-Skielse, Anders Hjalmarsson Jordanius. The ACIS2017 Conference Proceedings

    As digital technology becomes embedded in the core of customer offerings, companies find themselves being part of dynamic networks and must develop more open and distributed innovation processes. However, important and mature industrial domains, such as the automotive sector, find it difficult to fully utilize digital technologies due to closed innovation processes. Therefore, automotive companies try to attract external software developers by establishing new organisational forms for open digital innovation. Yet, the understanding of the problems that the organizational forms are expected to solve, how the organizational interventions should be designed and their effects on digital innovation are uncertain. Therefore, our goal is to contribute with knowledge of how the automotive industry can accelerate digital innovation by mindfully selecting and designing appropriate organisational interventions for open digital innovation. In this research in progress paper, we present a two-year action design research project and contribute with initial empirical results on the problems with open digital innovation in the automotive industry, a comparison of organizational forms for open digital innovation, based on a literature review and an assessment of the organizational forms’ potential to overcome the problems. The next step is to perform a structured literature review, and to design and implement an organizational intervention to facilitate a first iteration of externally initiated innovation cases.

  • 2017. Gustaf Juell-Skielse.

    A keynote given at IBMs partner conference "Enterprise Content Management is being reimagined". The keynote outlined digital transformation from the perspectives of: - the unique properties of digital technology - layered architectures and their effect on innovation - becoming part of ecosystems, through open innovation - the value of digital transformation - digital strategies and digital maturity.

  • 2017. Gustaf Juell-Skielse, Carl-Mikael Lönn, Tero Päivärinta. Government Information Quarterly 34 (4), 578-590

    Collaboration among governmental organizations has been regarded as essential for realizing benefits of e-government investments. Inter-organizational collaboration on e-government can appear in several forms and can aim at varying types of benefits. However, few if any studies have delved deeper into analysis of how chosen forms of collaboration might relate to targeted e-government benefits. This article studies five cases of how contemporary acquisitions and implementations of digital archiving systems have been launched through five modes of collaboration (autonomous, standardization, framework agreement, consortium, and central service organization) among organizations in the Swedish public sector. Our analysis reveals that whereas the target system, digital archive in our case, stays similar, expected benefits vary. The article contributes by elaborating the concept of mode of collaboration that identifies typical benefits justifying a choice of a particular collaboration form on e-government development and describing the five modes in more detail based on a multi-case study. The article also outlines fourteen related propositions of the correlation between the collaboration modes and expected benefits to be verified by further research.

  • 2017. Anders Hjalmarsson, Paul Johannesson, Gustaf Juell-Skielse.

    This book explores how novel digital services, including e-services, digital platforms and mobile apps, are increasingly being innovated through open processes. It investigates how and why organizations invite external developers to participate in their innovation, often catalyzed by contests and the provision of open data, with the aim of designing digital services that go beyond the capability of the organizations themselves.

  • 2017. Workneh Yilma Ayele, Gustaf Juell-Skielse. Proceedings of the 1st International Conference on Internet of Things and Machine Learning

    Due to the emergence of social media, there is a paradigm shift in the area of information production, processing and consumption. Hence, investigation in the utilization of open social media data is a relevant research topic. The openness of data, social media data, enables innovation and societal value creation. Social media analytics is an evolving research domain with interdisciplinary methods that are common in data mining such as text mining, social network analysis, trend analysis, and sentiment analysis. Also, social media analytics deals with development and evaluation of frameworks and informatics tools to process noisy and unstructured social media data. On the other hand, Internet of Things (IoT) enables the utilization of digital artifacts with well-established solutions and allows things to be connected regardless of location and time. However, a literature review about social media analytics and IoT integration is missing. In this paper, we conducted a systematic literature review of social media analytics and IoT integration. The literature review indicates that there are fewer research works done in the area of social media analytics and IoT compared to Data Mining and IoT. This paper facilitates discussion and elicits research potentials in social media analytics and IoT integration.

  • 2016. Joakim Snygg, Åsa B. Smedberg, Gustaf Juell-Skielse. International Journal of Business Continuity and Risk Management (IJBCRM) 6 (3), 238-256

    Problem management of business-critical systems has over the last few decades grown into a topic of great importance for business continuity. This is due to the increased use of critical systems both in private and public sectors: assets of great value, organisational viability and even people’s lives can be put in jeopardy due to poor management of malfunctioning software. Hence, understanding what influences critical software problem management is important. Even so, studies of the human side of this topic are sparse. In this article, a literature review to identify main socio-technical issues in managing critical software problems is presented. We can see from the results that factors influencing software problem management of business critical systems can be grouped into four themes: reliability in operations, fault detection, system recovery and change requests. By taking a socio-technical viewpoint, we outline some complex challenges and deepen our understanding of the factors involved.

Visa alla publikationer av Gustaf Juell-Skielse vid Stockholms universitet

Senast uppdaterad: 28 februari 2019

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