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Gudfinnsson, K., Rose, J. & Aggestam, L. (2019). Tackling Lack of Motivation in Aspirational Analytics Companies: SME Examples from the Manufacturing Industry. International Journal of Business Intelligence Research, 10(1)
Open this publication in new window or tab >>Tackling Lack of Motivation in Aspirational Analytics Companies: SME Examples from the Manufacturing Industry
2019 (English)In: International Journal of Business Intelligence Research, ISSN 1947-3591, E-ISSN 1947-3605, Vol. 10, no 1Article in journal (Refereed) Published
Abstract [en]

Establishing business intelligence analytics (BIA) in small- and medium-sized manufacturing enterprises is a pervasive problem. SME’s - the majority of businesses - play an important role in creating jobs, but research is primarily focused on large corporations. The authors worked with small manufacturing companies at the aspirational capability level but found that their motivation to introduce BIA was low. They had many business challenges but perceived the obstacles (primarily cost and effort) as too great, and their priorities were with operational issues. A two-phase approach based on a well-known analytics maturity model was devised to help raise company motivation. The article describes three studies in different companies using variations of the approach. Comparative analysis of the cases shows that demonstrating a clear path to improved functional efficiency is key to improving motivation, and that simple, easy to learn tools can provide these insights at little cost.

Place, publisher, year, edition, pages
IGI Global, 2019
Keywords
Business Intelligence, Information systems, Manufacturing, Maturity model, SME
National Category
Information Systems
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-16702 (URN)10.4018/IJBIR.2019010101 (DOI)
Projects
BISONMM2
Funder
Knowledge Foundation
Available from: 2019-03-15 Created: 2019-03-15 Last updated: 2019-03-22Bibliographically approved
Aggestam, L. (2016). Knowledge Leakage when SMEs Participate in Supply Chains: What Is It About and How Can It Occur?. International Journal of Knowledge and Systems Science (IJKSS), 7(3), 30-45
Open this publication in new window or tab >>Knowledge Leakage when SMEs Participate in Supply Chains: What Is It About and How Can It Occur?
2016 (English)In: International Journal of Knowledge and Systems Science (IJKSS), ISSN 1947-8208, Vol. 7, no 3, p. 30-45Article in journal (Refereed) Published
Abstract [en]

The advantages of sharing knowledge when participating in a Supply Chain (SC) are well established in the literature, but the challenge of knowledge leakage, and how to manage it, is still in its infancy. In order to increase the understanding of knowledge leakage, when SMEs participate in SCs, this study describes types of knowledge that may leak away, how they are valued, and how knowledge leakage can occur. The result includes two frameworks that also have shown to be potentially useful for examining the maturity of a specific SME with regard to knowledge leakages when participating in the SC.

Place, publisher, year, edition, pages
IGI Global, 2016
Keywords
KM, Knowledge Leakage, Knowledge Management, SC, SME, Supply Chain
National Category
Economics and Business
Identifiers
urn:nbn:se:his:diva-13152 (URN)10.4018/IJKSS.2016070103 (DOI)000383630400004 ()
Available from: 2016-11-29 Created: 2016-11-29 Last updated: 2017-11-27Bibliographically approved
van Laere, J. & Aggestam, L. (2016). Understanding champion behaviour in a health-care information system development project – how multiple champions and champion behaviours build a coherent whole. European Journal of Information Systems, 25(1), 47-63
Open this publication in new window or tab >>Understanding champion behaviour in a health-care information system development project – how multiple champions and champion behaviours build a coherent whole
2016 (English)In: European Journal of Information Systems, ISSN 0960-085X, E-ISSN 1476-9344, Vol. 25, no 1, p. 47-63Article in journal (Refereed) Published
Abstract [en]

Champions are commonly suggested as a means of promoting the adoption of information systems. Since there are many different definitions of the concepts of champion and champion behaviour in the literature, practitioners and researchers may be confused about how to exactly use these concepts. A qualitative analysis of a single case study in a Swedish health-care organisation enabled us to explain how different champion behaviours relate to each other and how multiple champions interact. Combining our rich case observations with an analysis of champion literature reveals how champion behaviours form a coherent and meaningful whole in which networks of different types of champions at different levels in an organisation utilise their network of relations, their knowledge of the organisation and their insight into strategic decision-making politics to time and orchestrate the framing of innovations and the involvement of the right people. In conclusion, championing is a complex performance of contextually dependent collective social interaction, varying over time, rather than a heroic act of one individual promoting an idea. Future studies need to focus more on how the relations between different champions and their behaviours develop across innovations and over time, in order to develop a richer understanding of championing.

Place, publisher, year, edition, pages
Palgrave Macmillan, 2016
Keywords
champions, champion behaviours, information system development, organisational change, health-care informatics
National Category
Information Systems, Social aspects Information Systems
Research subject
Information Systems; Knowledge and Innovation Management (KIM)
Identifiers
urn:nbn:se:his:diva-10872 (URN)10.1057/ejis.2015.5 (DOI)000370469600004 ()2-s2.0-84959564592 (Scopus ID)
Available from: 2015-04-29 Created: 2015-04-29 Last updated: 2019-01-23Bibliographically approved
Durst, S. & Aggestam, L. (2016). Using IT-Supported Knowledge Repositories for Succession Planning in SMEs: How to Deal with Knowledge Loss?. In: Patricia Ordoñez de Pablos and Robert D. Tennyson (Ed.), Handbook of Research on Human Resources Strategies for the New Millennial Workforce: (pp. 393-406). IGI Global
Open this publication in new window or tab >>Using IT-Supported Knowledge Repositories for Succession Planning in SMEs: How to Deal with Knowledge Loss?
2016 (English)In: Handbook of Research on Human Resources Strategies for the New Millennial Workforce / [ed] Patricia Ordoñez de Pablos and Robert D. Tennyson, IGI Global, 2016, p. 393-406Chapter in book (Refereed)
Abstract [en]

In the context of succession planning a huge number of critical knowledge can be at risk. This challenges smaller firms in particular. Based upon this, the chapter intends to highlight the contribution of IT-supported repositories to small and medium-sized enterprises (SME) succession planning as a promising approach to better cope with the risk of knowledge loss. More precisely, the aim of this chapter is to analyze different types of knowledge loss in the capture process with SME succession planning to demonstrate the potentials and deficiencies with IT-supported knowledge repositories. The findings presented in this chapter will hopefully contribute to a better understanding of how to deal with knowledge loss in the capture process when using IT-supported knowledge repositories for SME succession planning.

Place, publisher, year, edition, pages
IGI Global, 2016
Keywords
Succession planning, SMEs, Smaller firms, IT-supported knowledge repositories, Capture process, Risk, Knowledge loss, Knowledge management
National Category
Business Administration
Research subject
Humanities and Social sciences; Knowledge and Innovation Management (KIM)
Identifiers
urn:nbn:se:his:diva-13138 (URN)10.4018/978-1-5225-0948-6.ch020 (DOI)000424140600021 ()2-s2.0-85016022440 (Scopus ID)978-1-5225-0948-6 (ISBN)1-5225-0948-8 (ISBN)978-1-5225-0949-3 (ISBN)
Available from: 2016-11-25 Created: 2016-11-25 Last updated: 2018-03-26Bibliographically approved
Durst, S., Aggestam, L. & Aisenberg Ferenhof, H. (2015). Understanding knowledge leakage: a review of previous studies. Vine: The Journal of Information and Knowledge Management Systems, 45(4), 568-586
Open this publication in new window or tab >>Understanding knowledge leakage: a review of previous studies
2015 (English)In: Vine: The Journal of Information and Knowledge Management Systems, ISSN 0305-5728, E-ISSN 1474-1032, Vol. 45, no 4, p. 568-586Article, review/survey (Refereed) Published
Abstract [en]

Purpose – This paper aims to review research on the topic of knowledge leakage to establish the current body of knowledge and, on this basis, to suggest some promising avenues for future research.

Design/methodology/approach – The study consists of a systematic review of 57 refereed empirical articles on knowledge leakage.

Findings – The findings contribute to a more holistic view of the topic and complement the study of knowledge management. Additionally, a conceptual framework is proposed that aims at guiding and informing future research activities.

Research limitations/implications – This study may not have enabled a complete coverage of all empirical articles in the field of knowledge leakage. Yet, based on the chosen research methodology, it seems reasonable to assume that the review process covered a large share of studies available.

Originality/value – To the best of the authors’ knowledge, no systematic literature review on knowledge leakage has previously been published in academic journals.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2015
Keywords
Knowledge management, Knowledge retention, Knowledge leakage, Knowledge preservation, Knowledge risk management, Systematic literature review
National Category
Business Administration
Research subject
Humanities and Social sciences
Identifiers
urn:nbn:se:his:diva-11698 (URN)10.1108/VINE-01-2015-0009 (DOI)2-s2.0-84947279724 (Scopus ID)
Available from: 2015-11-18 Created: 2015-11-18 Last updated: 2017-12-01Bibliographically approved
Aggestam, L., Durst, S. & Persson, A. (2014). Critical Success Factors in Capturing Knowledge for Retention in IT-Supported Repositories. Information, 5(4), 558-569
Open this publication in new window or tab >>Critical Success Factors in Capturing Knowledge for Retention in IT-Supported Repositories
2014 (English)In: Information, ISSN 2078-2489, Vol. 5, no 4, p. 558-569Article in journal (Refereed) Published
Abstract [en]

In this paper, the authors demonstrate the suitability of IT-supported knowledge repositories for knowledge retention. Successful knowledge retention is dependent on whatis stored in a repository and, hence, possible to share. Accordingly, the ability to capture theright (relevant) knowledge is a key aspect. Therefore, to increase the quality in an IT-supported knowledge repository, the identification activity, which starts the capture process, must besuccessfully performed. While critical success factors (CSFs) for knowledge retention andknowledge management are frequently discussed in the literature, there is a knowledge gapconcerning CSFs for this specific knowledge capture activity. From a knowledge retention perspective, this paper proposes a model that characterizes CSFs for the identification activity and highlights the CSFs’ contribution to knowledge retention.

Place, publisher, year, edition, pages
MDPI AG, 2014
Keywords
knowledge retention, IT-supported knowledge repositories, critical success factors, CSF, knowledge management, KM, knowledge capture
National Category
Information Systems, Social aspects
Research subject
Humanities and Social sciences; Technology; Information Systems
Identifiers
urn:nbn:se:his:diva-10148 (URN)10.3390/info5040558 (DOI)2-s2.0-84921305818 (Scopus ID)
Available from: 2014-10-29 Created: 2014-10-29 Last updated: 2019-01-22Bibliographically approved
Aggestam, L. & van Laere, J. (2012). How to Successfully Apply Critical Success Factors in Healthcare Information Systems Development?: A Story from the Field. In: Proceedings of the 20th European Conference on Information Systems, Barcelona, Spain 2012: . Paper presented at 20th European Conference on Information Systems, Barcelona, Spain 2012 (ECIS 2012) (pp. Paper 220). Association for Information Systems
Open this publication in new window or tab >>How to Successfully Apply Critical Success Factors in Healthcare Information Systems Development?: A Story from the Field
2012 (English)In: Proceedings of the 20th European Conference on Information Systems, Barcelona, Spain 2012, Association for Information Systems, 2012, p. Paper 220-Conference paper, Published paper (Refereed)
Abstract [en]

Many studies have focused on retrospectively identifying critical success factors (CSFs) for healthcare information system (HIS) development projects. In this paper the central question is how in advance selected CSFs can be applied in the best way. An action research study has been carried out in a large Swedish healthcare organization during 2010 and 2011 where the application of four CSFs has been planned, documented and reflected upon. Challenges are identified that may arise when tailoring general CSFs to situational circumstances. For example, the self-evident CSF of ?having a clear and accepted objective? becomes tricky and complex in practice when facing 15 autonomous boards that all need to support the project. Similar insights are gained for other CSFs. More research is needed to illuminate the complexities of how to apply CSFs. Another important observation is that different CSFs strengthen one another, which implies that they should be applied and analysed in concert rather than isolated. Finally, healthcare practitioners need to be aware that CSFs are very helpful, but that tailoring general CSFs to the unique situation of the HIS development project requires much effort and continuous reflection from a holistic perspective embedded in systems thinking.

Place, publisher, year, edition, pages
Association for Information Systems, 2012
Keywords
Critical Success Factors (CSFs), healthcare information systems (HIS), systems thinking, adoption and diffusion of HIS
National Category
Information Systems
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-7221 (URN)978-84-88971-54-8 (ISBN)
Conference
20th European Conference on Information Systems, Barcelona, Spain 2012 (ECIS 2012)
Available from: 2013-02-13 Created: 2013-02-13 Last updated: 2018-01-11Bibliographically approved
Aggestam, L. & Persson, A. (2010). Increasing the Quality in IT-supported Knowledge Repositories: Critical Success Factors for Identifying Knowledge. In: Ralph H. Sprague, Jr. (Ed.), Proceedings of the 43rd Annual Hawaii International Conference on System Sciences, 5-8 January 2010, Koloa, Kauai, Hawaii: Abstracts and CD-ROM of Full Papers. Paper presented at 43rd Annual Hawaii International Conference on System Sciences (HICSS 2010): 5-8 January, 2010, Koloa, Kauai, Hawaii (pp. 3329-3337). IEEE Computer Society
Open this publication in new window or tab >>Increasing the Quality in IT-supported Knowledge Repositories: Critical Success Factors for Identifying Knowledge
2010 (English)In: Proceedings of the 43rd Annual Hawaii International Conference on System Sciences, 5-8 January 2010, Koloa, Kauai, Hawaii: Abstracts and CD-ROM of Full Papers / [ed] Ralph H. Sprague, Jr., IEEE Computer Society, 2010, p. 3329-3337Conference paper, Published paper (Refereed)
Abstract [en]

IT-supported knowledge repositories are an important part in Knowledge Management (KM) work. The success of an IT-supported knowledge repository is dependent on what is stored in the repository and hence the ability to capture the right knowledge is a key aspect. Therefore, to increase the quality in an ITsupported Knowledge Repository, the identify activity, which starts the capture process, must be successfully performed. While Critical Success Factors (CSF) for KM and KMS are frequently discussed in the literature, there is a knowledge gap concerning CSF for this specific knowledge capture activity. Based on an interpretive field study and a literature review, this paper proposes and characterizes CSF for the identify activity. For example, we highlight the importance of having organizational knowledge about what knowledge to capture and where to find it, i.e. having knowledge about potential sources of knowledge.

Place, publisher, year, edition, pages
IEEE Computer Society, 2010
Series
Proceedings of the Annual Hawaii International Conference on System Sciences, ISSN 1530-1605 ; [43]
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-3838 (URN)10.1109/HICSS.2010.229 (DOI)000282391802157 ()2-s2.0-77951719665 (Scopus ID)978-0-7695-3869-3 (ISBN)978-1-4244-5509-6 (ISBN)978-1-4244-5510-2 (ISBN)
Conference
43rd Annual Hawaii International Conference on System Sciences (HICSS 2010): 5-8 January, 2010, Koloa, Kauai, Hawaii
Note

9 pages, [CD-ROM]

Available from: 2010-04-01 Created: 2010-04-01 Last updated: 2018-01-12Bibliographically approved
Söderström, E., Aggestam, L. & Holgersson, J. (2010). Knowledge capture in e-service development: A prosperous marriage?. International Journal of Systems and Service-Oriented Engineering, 1(2), 25-39
Open this publication in new window or tab >>Knowledge capture in e-service development: A prosperous marriage?
2010 (English)In: International Journal of Systems and Service-Oriented Engineering, ISSN 1947-3052, E-ISSN 1947-3060, Vol. 1, no 2, p. 25-39Article in journal (Refereed) Published
Place, publisher, year, edition, pages
IGI Global, 2010
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:his:diva-7370 (URN)
Available from: 2013-03-04 Created: 2013-03-04 Last updated: 2018-01-11Bibliographically approved
Aggestam, L., Söderström, E. & Persson, A. (2010). Seven Types of Knowledge Loss in the Knowledge Capture Process. In: Proceedings of the 18th European Conference on Information Systems (ECIS 2010). Paper presented at 18th European Conference on Information Systems, ECIS 2010; Pretoria; 7 June 2010 through 9 June 2010 (pp. Paper 13). Association for Information Systems
Open this publication in new window or tab >>Seven Types of Knowledge Loss in the Knowledge Capture Process
2010 (English)In: Proceedings of the 18th European Conference on Information Systems (ECIS 2010), Association for Information Systems, 2010, p. Paper 13-Conference paper, Published paper (Refereed)
Abstract [en]

Society is based on knowledge and the availability thereof. Access to knowledge empowers people, and organizations must reuse knowledge to be competitive. The right knowledge to the right person at the right time is important for success, and IT plays an important role in order to achieve this goal, for example in the form of Electronic Knowlege Repositories (EKR). The success of an EKR depends on what is stored therein, and the ability to capture the right knowledge is hence a key aspect. This, however, is a complex issue. The goal of this paper is to identify and describe different types of knowledge loss, seven of which have been identified and characterized. As an example, one knowledge loss shows that not all knowledge can be stored, and critical knowledge elements may therefore be lost when attempting to store it. Some knowledge loss may be desirable, since an organization should not want to store everything. The results contribute to capturing the right knowledge, and hence to successful EKR. The results thus contribute to elevating the competitive power of an organization.

Place, publisher, year, edition, pages
Association for Information Systems, 2010
Keywords
Electronic Knowledge Repositories (EKR), capture, knowledge loss, success factors
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-4616 (URN)2-s2.0-84870643394 (Scopus ID)978-0-620-47172-5 (ISBN)
Conference
18th European Conference on Information Systems, ECIS 2010; Pretoria; 7 June 2010 through 9 June 2010
Note

[CD-ROM]

Available from: 2011-01-21 Created: 2011-01-21 Last updated: 2018-01-12Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1134-1938

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