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Alexander Sandow

Alexander Sandow
Organization: University of Innsbruck
User Profile alexander.sandow
Phone+43-512-507 7665
Homepage: http://www.uibk.ac.at/iwi/alexandersandow.html

Alexander Sandow, born 1981 in Halle and received his Diploma in Management Information Systems (MIS) from the Martin Luther University of Halle-Wittenberg in November 2006. During his studies he worked as trainee for the Department of company organization and quality management of GISA GmbH and dealt with enterprise portals and document management.

From February 2007 to June 2008, he was consultant for business intelligence at the department for innovation and technology at GISA GmbH and helped implementing data warehouse solutions. Since July 2008 he has been employed as a research assistant at the Information Systems Unit, Innsbruck University School of Management.

Role in the project

He supports MATURE by analysing the ethnographic studies.

Activities

Knowledge Maturing for Organizational Development: A Workshop with IFIP
MATURE Associate Partner Event
MATURE-IFIP Workshop
MATURE @ Professional Knowledge Management Conference
MATURE paper on interview study receives STELLAR Stakeholder Distinct Award at ECTEL 2010
Knowledge Maturing in Europe - results of a large European study
Study on Knowledge Maturing in Europe
Successful second MATURE Review
MATURE 2nd Associate Partner Event
MATURE @ I-KNOW 2009

Publications

2011

Kaschig, Andreas, Maier, Ronald, Sandow, Alexander
Effects of Interventions into Improving Knowledge Maturing
In: I-KNOW '11. Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies, ACM Digital Library, 2011

BibTeX

2010

Kaschig, Andreas, Maier, Ronald, Sandow, Alexander, Lazoi, Mariangela, Barnes, Sally-Anne, Bimrose, Jenny, Bradley, Claire, Brown, Alan, Kunzmann, Christine, Mazarakis, Athanasios, Schmidt, Andreas
Knowledge Maturing Activities and Practices Fostering Organisational Learning: Results of an Empirical Study
In: Sustaining TEL: From Innovation to Learning and Practice 5th European Conference on Technology Enhanced Learning, EC-TEL 2010, Barcelona, Spain, September 28 - October 1, 2010. Proceedings, Lecture Notes in Computer Science vol. 6383, Springer, 2010, pp. 151-166

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BibTeX
Abstract Knowledge work is performed in all occupations and across all industries. The level of similarity of knowledge work allows for designing supporting tools that can be widely used. In this paper an activity-based perspective towards knowledge work is taken. Based on findings from a previous ethnographically-informed study, we identified valuable activities to be supported in order to increase knowledge maturing inside companies. The goal of this paper is to contribute to which knowledge maturing activities are deemed important, so that they can be supported by IT services. Quantitative and qualitative data have been collected in 126 organisations of different size, sector and knowledge intensity. Important feedback and issues emerged and need to be managed in order to support success in the knowledge maturing activities that allow improvement of organisational learning through the dissemination and application of the most appropriate knowledge.

2009

Barnes, Sally-Anne, Bimrose, Jenny, Brown, Alan, Feldkamp, Daniela, Kaschig, Andreas, Kunzmann, Christine, Maier, Ronald, Nelkner, Tobias, Sandow, Alexander, Thalmann, Stefan
Knowledge Maturing at Workplaces of Knowledge Workers: Results of an Ethnographically Informed Study
In: 9th International Conference on Knowledge Management (I-KNOW '09), Graz, Austria, 2009, pp. 51-61

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BibTeX
Abstract Maturity models are popular instruments used, e.g., to rate capabilities of maturing elements and select appropriate actions to take the elements to a higher level of maturity. Their application areas are wide spread and range from cognitive science to business applications and engineering. Although there are many maturity models reported in scientific and non-scientific literature, the act of how to develop a maturity model is for the most part unexplored. Many maturity models simply – and vaguely – build on their, often well-known, predecessors without critical discourse about how appropriate the assumptions are that form the basis of these models. This research sheds some light on the construction of maturity models by analysing 16 representative maturity models with the help of a structured content analysis. The results are transformed into a set of questions which can be used for the (re-)creation of maturity models and are answered with the help of the case example of a knowledge maturity model. Furthermore, a definition of the term maturity model is developed from the study’s results.