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Gudfinnsson, KristensORCID iD iconorcid.org/0000-0001-5435-9535
Publications (9 of 9) Show all publications
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)2-s2.0-85071252646 (Scopus ID)
Projects
BISONMM2
Funder
Knowledge Foundation
Note

EISBN13: 9781522566922

Available from: 2019-03-15 Created: 2019-03-15 Last updated: 2019-09-04Bibliographically approved
Karlsen, A., Persson, A. & Gudfinnsson, K. (2018). Kontinuerlig endringsarbeid: Helhetlig virksomhetsledelse. Bergen: Fagbokforlaget
Open this publication in new window or tab >>Kontinuerlig endringsarbeid: Helhetlig virksomhetsledelse
2018 (Norwegian)Book (Refereed)
Abstract [no]

Helhetlig virksomhetsledelse, digitalisering og gjennomføring av endring er viktige kompetanse- og fokusområder i lederens hverdag. Grunnen til dette er at en ny virkelighet har vokst frem for organisasjoner og deres ledere i dagens turbulente forretningsverden. Den nye realiteten fordrer at organisasjoner ikke bare blir bedre på å drive forretningen, men også på å bli fremragende i å endre måten virksomheten drives. Storparten av stoffet i Kontinuerlig endringsarbeid handler om forutsetninger, verktøy og tiltak for økt kontroll med drift og endring. Materialet som presenteres er hentet fra litteratur og forfatternes egen forskning i praksisfeltet. Målgruppen for Kontinuerlig endringsarbeid er ledere og endringsagenter, men også fremtidige ledere som nå er studenter innen ulike ledelses-, teknologi- og organisasjonsfag. 

Place, publisher, year, edition, pages
Bergen: Fagbokforlaget, 2018. p. 178
National Category
Information Systems
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-14515 (URN)978-82-450-2131-8 (ISBN)
Available from: 2017-11-28 Created: 2017-11-28 Last updated: 2018-02-01Bibliographically approved
Gudfinnsson, K. & Strand, M. (2018). On transforming into the data-driven decision-making era: current state of practice in manufacturing smes. In: Peter Thorvald, Keith Case (Ed.), Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden. Paper presented at 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden (pp. 337-342). Amsterdam: IOS Press, 8
Open this publication in new window or tab >>On transforming into the data-driven decision-making era: current state of practice in manufacturing smes
2018 (English)In: Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam: IOS Press, 2018, Vol. 8, p. 337-342Conference paper, Published paper (Refereed)
Abstract [en]

Current research lacks details on how SMMEs are able to capitalize on how their IT-solutions supports data-driven decision-making. Such details are important for being able to support further development of SMMEs and assuring their sustainability and competitive edge. Prosperous SMMEs are vital due to their economical and societal importance. To alleviate the lack of details, this paper presents the results of four case studies towards SMMEs partly aimed at investigating their current state of data-driven decision-making. The findings reveal that IT-solutions in some areas are either underdeveloped or unexplored. Instead, the SMMEs tend to focus on traditional manufacturing techniques, continuous improvements in the manufacturing process, and manual support routines and thereby neglects opportunities offered in relation to e.g. incident management, product quality monitoring, and the usage of KPIs not directly linked to manufacturing.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2018
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords
Decision making, Manufacture, Metadata, Competitive edges, Continuous improvements, Data driven decision, Incident Management, Manufacturing process, Product quality monitoring, State of practice, Traditional manufacturing, Industrial research
National Category
Production Engineering, Human Work Science and Ergonomics Other Mechanical Engineering
Research subject
Information Systems; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16494 (URN)10.3233/978-1-61499-902-7-337 (DOI)000462212700054 ()2-s2.0-85057361916 (Scopus ID)978-1-61499-901-0 (ISBN)978-1-61499-902-7 (ISBN)
Conference
16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden
Available from: 2018-12-13 Created: 2018-12-13 Last updated: 2019-04-04Bibliographically approved
Gudfinnsson, K. & Strand, M. (2017). Challenges with BI adoption in SMEs. In: Proceedings of the 8th International Conference on Information, Intelligence, Systems & Applications (IISA): . Paper presented at The 8th International Conference on Information Intelligence Systems Applications 2017, Larnaca, Cyprus, August 27-30, 2017 (pp. 172-177). IEEE
Open this publication in new window or tab >>Challenges with BI adoption in SMEs
2017 (English)In: Proceedings of the 8th International Conference on Information, Intelligence, Systems & Applications (IISA), IEEE, 2017, , p. 6p. 172-177Conference paper, Published paper (Refereed)
Abstract [en]

Business intelligence (BI) has become a well-known umbrella term both amongst academics and practitioners. Researchers have studied how companies can take advantage of BI and what challenges companies are facing when working with BI. However, research is mostly focused on large companies, despite the importance of small- and medium sized companies (SMEs) in both society and economically. This paper presents results of an in-depth qualitative case study on challenges faced by SMEs when adopting BI. The challenges are categorized according to a BI maturity model adopted as unit of assessment. The contribution of the results presented is two-folded; 1) It increases current literature regarding challenges when adopting BI in SMEs, and 2) It serves as guidance for SMEs on common pitfalls that ought to be avoided.

Place, publisher, year, edition, pages
IEEE, 2017. p. 6
Series
International Conference on Information, Intelligence, Systems & Applications (IISA), ISSN 2379-3732
Keywords
Business Intelligence, Business Analytics, BI Maturity, BI Challenges, SMEs
National Category
Information Systems
Research subject
Information Systems; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-14976 (URN)10.1109/IISA.2017.8316407 (DOI)000454859600031 ()2-s2.0-85047850236 (Scopus ID)978-1-5386-3731-9 (ISBN)978-1-5386-3732-6 (ISBN)
Conference
The 8th International Conference on Information Intelligence Systems Applications 2017, Larnaca, Cyprus, August 27-30, 2017
Projects
MMC2
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2019-03-04
Gudfinnsson, K., Karlsen, A. & Persson, A. (2017). Towards a digital tool for managing goals and keep track of goal achievements in change practice. In: Knut Helge Rolland, Grete Netteland, Jens Kaasbøll, Anniken Karlsen, Tom Roar Eikebrokk (Ed.), Norsk konferanse for organisasjoners bruk at IT (NOKOBIT): . Paper presented at The annual NOKOBIT conference held in Oslo the 27th-29th of November 2017 (pp. 1-9). Bibsys Open Journal Systems
Open this publication in new window or tab >>Towards a digital tool for managing goals and keep track of goal achievements in change practice
2017 (English)In: Norsk konferanse for organisasjoners bruk at IT (NOKOBIT) / [ed] Knut Helge Rolland, Grete Netteland, Jens Kaasbøll, Anniken Karlsen, Tom Roar Eikebrokk, Bibsys Open Journal Systems , 2017, p. 1-9Conference paper, Published paper (Refereed)
Abstract [en]

This paper aims at providing insights into the complex world of managing goals as part of change. The paper describes a digital prototype tool to support goal oriented improvement efforts towards company survival and growth. The prototype was developed based on the needs of practitioners in a SME construction company. Initial results indicates that a tool like the prototype can be helpful. This stimulates further research and development, and might inspire others to make and take advantage of IT solutions that go beyond traditional project scheduling to support change.

Place, publisher, year, edition, pages
Bibsys Open Journal Systems, 2017
Series
NOKOBIT, ISSN 1894-7719 ; 25(1)
Keywords
Goal modeling, change management, digital tool support
National Category
Information Systems
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-14511 (URN)
Conference
The annual NOKOBIT conference held in Oslo the 27th-29th of November 2017
Available from: 2017-11-27 Created: 2017-11-27 Last updated: 2018-02-01Bibliographically approved
Karlsen, A., Persson, A. & Gudfinnsson, K. (2016). The SmallBuild+ Business Development Method: Findings from a Longitudinal Study in the Construction Sector. In: : . Paper presented at Norsk konferanse for organisasjoners bruk av IT (NOKOBIT), Bergen, Norway, 28-30 November, 2016. Norsk Konferanse for Organisasjoners Bruk av IT, 24(1)
Open this publication in new window or tab >>The SmallBuild+ Business Development Method: Findings from a Longitudinal Study in the Construction Sector
2016 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Norsk Konferanse for Organisasjoners Bruk av IT, 2016
Series
Norsk konferanse for organisasjoners bruk av informasjonsteknologi, ISSN 1894-7719 ; Vol 24, nr 1
National Category
Other Computer and Information Science
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-13143 (URN)
Conference
Norsk konferanse for organisasjoners bruk av IT (NOKOBIT), Bergen, Norway, 28-30 November, 2016
Available from: 2016-11-28 Created: 2016-11-28 Last updated: 2019-01-22Bibliographically approved
Gudfinnsson, K., Strand, M. & Berndtsson, M. (2015). Analyzing Business Intelligence Maturity. Journal of Decision Systems, 24(1), 37-54
Open this publication in new window or tab >>Analyzing Business Intelligence Maturity
2015 (English)In: Journal of Decision Systems, ISSN 1246-0125, E-ISSN 2116-7052, Vol. 24, no 1, p. 37-54Article in journal (Refereed) Published
Abstract [en]

Business intelligence has fundamentally changed how companiesconduct their business. In literature, the focus has been on volume-operationcompanies that provide services to millions of customers. In contrast, complexsystemscompanies have fewer customers and pursue customer needs byproviding more customized products and services. This paper presents the resultsof a case study conducted at a complex-systems company, with the overall aim toidentify how complex-systems companies may take advantage of businessintelligence. A framework was used to measure business intelligence maturity ofthe company. In addition, we also explain the current maturity level of the casecompany,based on critical factors for success adopted from the literature. Indoing so, we also contribute on important details regarding factors that must beconsidered by organizations, in order to leverage their analytical capability.Finally, we also propose topics that need to be further investigated, in order toincrease current knowledge regarding BI usage and maturity in complex-systemscompanies.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2015
Keywords
Business Intelligence, Business Analytics, BI Maturity, Complex-Systems companies
National Category
Information Systems
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-10933 (URN)10.1080/12460125.2015.994287 (DOI)000212817900004 ()2-s2.0-84924251992 (Scopus ID)
Available from: 2015-05-13 Created: 2015-05-13 Last updated: 2019-03-04Bibliographically approved
Persson, A., Karlsen, A. & Gudfinnsson, K. (2015). Towards a Generic Goal Model to Support Continuous Improvement in SME Construction Companies. In: Jolita Ralyté, Sergio España, Óscar Pastor (Ed.), The Practice of Enterprise Modeling: 8th IFIP WG 8.1. Working Conference, PoEM 2015 Valencia, Spain, November 10–12, 2015 Proceedings. Paper presented at 8th IFIP WG 8.1. Working Conference, PoEM 2015 Valencia, Spain, November 10–12, 2015 (pp. 27-42). Springer
Open this publication in new window or tab >>Towards a Generic Goal Model to Support Continuous Improvement in SME Construction Companies
2015 (English)In: The Practice of Enterprise Modeling: 8th IFIP WG 8.1. Working Conference, PoEM 2015 Valencia, Spain, November 10–12, 2015 Proceedings / [ed] Jolita Ralyté, Sergio España, Óscar Pastor, Springer, 2015, p. 27-42Conference paper, Published paper (Refereed)
Abstract [en]

Small and medium sized (SME) construction companies are often good at bricks, mortar and carpentry but not at management. However, it is often bad management that hinders companies to become financially sustainable over time and to grow. This paper presents a generic goal model aiming to support SME construction companies to systematically work with continuous improvement towards the overarching goal of becoming thriving businesses.

The goal model has been developed based on the principles of lean, balanced scorecards and the business canvas, as well as on a management consultants experiences from working with this kind of companies for many years.

Place, publisher, year, edition, pages
Springer, 2015
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348 ; 235
Keywords
enterprise modeling
National Category
Information Systems
Research subject
Technology; Information Systems
Identifiers
urn:nbn:se:his:diva-11650 (URN)10.1007/978-3-319-25897-3_3 (DOI)000369183600003 ()2-s2.0-84952652787 (Scopus ID)978-3-319-25897-3 (ISBN)978-3-319-25896-6 (ISBN)
Conference
8th IFIP WG 8.1. Working Conference, PoEM 2015 Valencia, Spain, November 10–12, 2015
Available from: 2015-10-30 Created: 2015-10-30 Last updated: 2019-01-22Bibliographically approved
Gudfinnsson, K., Berndtsson, M. & Strand, M. (2014). Taking Advantage of Business Intelligence in a Complex-Systems Environment. In: Gloria Phillips-Wren, Sven Carlsson, Ana Respício & Patrick Brézillon (Ed.), DSS 2.0 – Supporting Decision Making with New Technologies: . Paper presented at IFIP TC8/Working Group 8.3 conference, Université Pierre et Marie Curie, Paris, France, June 2014 (pp. 265-276). IOS Press
Open this publication in new window or tab >>Taking Advantage of Business Intelligence in a Complex-Systems Environment
2014 (English)In: DSS 2.0 – Supporting Decision Making with New Technologies / [ed] Gloria Phillips-Wren, Sven Carlsson, Ana Respício & Patrick Brézillon, IOS Press, 2014, p. 265-276Conference paper, Published paper (Refereed)
Abstract [en]

Business intelligence (BI) has fundamentally changed how many companies conduct their business. In literature, focus has been on volume-operation companies that provide services to millions of customers. In contrast, complex-systems companies have fewer customers and pursue customer needs by providing more customized products and services. This paper presents the results at a case of a complex-systems company with the overall aim to see how a complex-systems company has taken advantage of BI. In addition, a framework was used to measure the BI maturity of the company. Literature also emphasis that complex-system companies may benefit from adopting BI applications from volume-operations companies, but the results indicate that there may be a difference in the importance of BI tools, which in turn may negatively influence such cross-category adoptions.

Place, publisher, year, edition, pages
IOS Press, 2014
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 261
Keywords
Business Intelligence, Business Analytics, complex-systems, volume-operations, analytic maturity
National Category
Information Systems
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-10135 (URN)10.3233/978-1-61499-399-5-265 (DOI)000350220100024 ()2-s2.0-84902288789 (Scopus ID)978-1-61499-398-8 (ISBN)978-1-61499-399-5 (ISBN)
Conference
IFIP TC8/Working Group 8.3 conference, Université Pierre et Marie Curie, Paris, France, June 2014
Available from: 2014-10-27 Created: 2014-10-27 Last updated: 2019-03-05Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-5435-9535

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