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Gudfinnsson, KristensORCID iD iconorcid.org/0000-0001-5435-9535
Publikationer (10 of 10) Visa alla publikationer
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)
Öppna denna publikation i ny flik eller fönster >>Tackling Lack of Motivation in Aspirational Analytics Companies: SME Examples from the Manufacturing Industry
2019 (Engelska)Ingår i: International Journal of Business Intelligence Research, ISSN 1947-3591, E-ISSN 1947-3605, Vol. 10, nr 1Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
IGI Global, 2019
Nyckelord
Business Intelligence, Information systems, Manufacturing, Maturity model, SME
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
Informationssystem (IS)
Identifikatorer
urn:nbn:se:his:diva-16702 (URN)10.4018/IJBIR.2019010101 (DOI)2-s2.0-85071252646 (Scopus ID)
Projekt
BISONMM2
Forskningsfinansiär
KK-stiftelsen
Anmärkning

EISBN13: 9781522566922

Tillgänglig från: 2019-03-15 Skapad: 2019-03-15 Senast uppdaterad: 2019-10-28Bibliografiskt granskad
Gudfinnsson, K. (2019). Towards facilitating BI adoption in small and medium sized manufacturing companies. (Doctoral dissertation). Skövde: University of Skovde
Öppna denna publikation i ny flik eller fönster >>Towards facilitating BI adoption in small and medium sized manufacturing companies
2019 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

This work concerns how to support Small and Medium sized Manufacturing Enterprises(SMMEs) with their Business Intelligence (BI) adoption, with the long term aim of supporting them in making better use of their BI investments and becoming (more)data-driven in their decision-making processes. Current BI research focuses primarily on larger enterprises, despite the fact that the majority of businesses are small or mediumsized. Therefore, this research focuses on the body of knowledge concerning how SMMEs can be more intelligent about their business, and better adopt BI to improve decision-making. Accordingly, the overall research aim is to create an artefact that can support SMMEs to facilitate BI adoption. An understanding of the current situation of BI adoption within SMMEs needs to be attained to achieve this, which is the focus for the first research question: What is the current state-of-practice in relation to BI adoption in SMMEs? The research question adds to current knowledge on how SMMEs are taking advantage of BI and highlights which functions within companies are currently supported by BI. Research question two identifies the main challenges that SMMEs are facing in this context: What are the main challenges for BI adoption in SMMEs? This question adds to knowledge regarding some of the barriers and hindrances SMMEs face in BI adoption. Finally, the third research question addresses how SMMEs can address the challenges in successfully adopting BI: How can the main challenges be addressed? The research question is answered by providing descriptions of work in four participating companies addressing different types of problems. Many of the challenges from literature (and from empirical data from the participating companies) regarding BI adoption are met. The outcome adds to the literature a hands-on approach for companies to address chosen problems in their settings, and addressing many of the factors previously found in the BI adoption literature. An action design research (ADR) method is used to fulfill the overall research aim. The ADR method is used to guide the development of a framework artefact based on previousliterature, and on empirical findings from working with participating companies. Theoretical background was obtained through a literature review of BI adoption and usage. Empirical material was gathered both through interviews and by reviewing documents from the companies. The work that was done in participating companies was supported by previous literature in several ways: through the use of an elicitation activity, through the core concepts of BI, and by focusing on categories presented in a BI maturity model. The principal contribution of the research is in the form of a framework: the Business Intelligence Facilitation Framework (BIFF), which includes four phases. All phases contain activities that support companies in addressing BI adoption challenges from the literature and empirical data, in order to achieve the overall research aim. This research contributes both to research and practice. From a research point of view, the framework provides a way to address many of the factors previously identified in literature that need to be in place to increase the likelihood of successful BI adoption. From a practice perspective, the framework supports practitioners offering guidance in how to improve their BI adoption, providing activities for them to take, and guidance in how to carry out the activities.

Ort, förlag, år, upplaga, sidor
Skövde: University of Skovde, 2019. s. 126
Serie
Dissertation Series ; 30 (2019)
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
Informationssystem (IS)
Identifikatorer
urn:nbn:se:his:diva-17819 (URN)978-91-984918-2-1 (ISBN)
Disputation
2019-11-22, G110, University of Skövde, Skövde, 13:00 (Engelska)
Opponent
Handledare
Tillgänglig från: 2019-10-30 Skapad: 2019-10-28 Senast uppdaterad: 2019-11-08Bibliografiskt granskad
Karlsen, A., Persson, A. & Gudfinnsson, K. (2018). Kontinuerlig endringsarbeid: Helhetlig virksomhetsledelse. Bergen: Fagbokforlaget
Öppna denna publikation i ny flik eller fönster >>Kontinuerlig endringsarbeid: Helhetlig virksomhetsledelse
2018 (Norska)Bok (Refereegranskat)
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. 

Ort, förlag, år, upplaga, sidor
Bergen: Fagbokforlaget, 2018. s. 178
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
Informationssystem (IS)
Identifikatorer
urn:nbn:se:his:diva-14515 (URN)978-82-450-2131-8 (ISBN)
Tillgänglig från: 2017-11-28 Skapad: 2017-11-28 Senast uppdaterad: 2018-02-01Bibliografiskt granskad
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
Öppna denna publikation i ny flik eller fönster >>On transforming into the data-driven decision-making era: current state of practice in manufacturing smes
2018 (Engelska)Ingår i: 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, s. 337-342Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Amsterdam: IOS Press, 2018
Serie
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Nyckelord
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
Nationell ämneskategori
Produktionsteknik, arbetsvetenskap och ergonomi Annan maskinteknik
Forskningsämne
Informationssystem (IS); Produktion och automatiseringsteknik
Identifikatorer
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)
Konferens
16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden
Tillgänglig från: 2018-12-13 Skapad: 2018-12-13 Senast uppdaterad: 2019-10-28Bibliografiskt granskad
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
Öppna denna publikation i ny flik eller fönster >>Challenges with BI adoption in SMEs
2017 (Engelska)Ingår i: Proceedings of the 8th International Conference on Information, Intelligence, Systems & Applications (IISA), IEEE, 2017, , s. 6s. 172-177Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
IEEE, 2017. s. 6
Serie
International Conference on Information, Intelligence, Systems & Applications (IISA), ISSN 2379-3732
Nyckelord
Business Intelligence, Business Analytics, BI Maturity, BI Challenges, SMEs
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
Informationssystem (IS); Produktion och automatiseringsteknik
Identifikatorer
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)
Konferens
The 8th International Conference on Information Intelligence Systems Applications 2017, Larnaca, Cyprus, August 27-30, 2017
Projekt
MMC2
Tillgänglig från: 2018-03-22 Skapad: 2018-03-22 Senast uppdaterad: 2019-10-28
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
Öppna denna publikation i ny flik eller fönster >>Towards a digital tool for managing goals and keep track of goal achievements in change practice
2017 (Engelska)Ingår i: 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, s. 1-9Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Bibsys Open Journal Systems, 2017
Serie
NOKOBIT, ISSN 1894-7719 ; 25(1)
Nyckelord
Goal modeling, change management, digital tool support
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
Informationssystem (IS)
Identifikatorer
urn:nbn:se:his:diva-14511 (URN)
Konferens
The annual NOKOBIT conference held in Oslo the 27th-29th of November 2017
Tillgänglig från: 2017-11-27 Skapad: 2017-11-27 Senast uppdaterad: 2018-02-01Bibliografiskt granskad
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)
Öppna denna publikation i ny flik eller fönster >>The SmallBuild+ Business Development Method: Findings from a Longitudinal Study in the Construction Sector
2016 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat)
Ort, förlag, år, upplaga, sidor
Norsk Konferanse for Organisasjoners Bruk av IT, 2016
Serie
Norsk konferanse for organisasjoners bruk av informasjonsteknologi, ISSN 1894-7719 ; Vol 24, nr 1
Nationell ämneskategori
Annan data- och informationsvetenskap
Forskningsämne
Informationssystem (IS)
Identifikatorer
urn:nbn:se:his:diva-13143 (URN)
Konferens
Norsk konferanse for organisasjoners bruk av IT (NOKOBIT), Bergen, Norway, 28-30 November, 2016
Tillgänglig från: 2016-11-28 Skapad: 2016-11-28 Senast uppdaterad: 2019-10-28Bibliografiskt granskad
Gudfinnsson, K., Strand, M. & Berndtsson, M. (2015). Analyzing Business Intelligence Maturity. Journal of Decision Systems, 24(1), 37-54
Öppna denna publikation i ny flik eller fönster >>Analyzing Business Intelligence Maturity
2015 (Engelska)Ingår i: Journal of Decision Systems, ISSN 1246-0125, E-ISSN 2116-7052, Vol. 24, nr 1, s. 37-54Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
Taylor & Francis Group, 2015
Nyckelord
Business Intelligence, Business Analytics, BI Maturity, Complex-Systems companies
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
Informationssystem (IS)
Identifikatorer
urn:nbn:se:his:diva-10933 (URN)10.1080/12460125.2015.994287 (DOI)000212817900004 ()2-s2.0-84924251992 (Scopus ID)
Tillgänglig från: 2015-05-13 Skapad: 2015-05-13 Senast uppdaterad: 2019-10-28Bibliografiskt granskad
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
Öppna denna publikation i ny flik eller fönster >>Towards a Generic Goal Model to Support Continuous Improvement in SME Construction Companies
2015 (Engelska)Ingår i: 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, s. 27-42Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Springer, 2015
Serie
Lecture Notes in Business Information Processing, ISSN 1865-1348 ; 235
Nyckelord
enterprise modeling
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
Teknik; Informationssystem (IS)
Identifikatorer
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)
Konferens
8th IFIP WG 8.1. Working Conference, PoEM 2015 Valencia, Spain, November 10–12, 2015
Tillgänglig från: 2015-10-30 Skapad: 2015-10-30 Senast uppdaterad: 2019-10-28Bibliografiskt granskad
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
Öppna denna publikation i ny flik eller fönster >>Taking Advantage of Business Intelligence in a Complex-Systems Environment
2014 (Engelska)Ingår i: DSS 2.0 – Supporting Decision Making with New Technologies / [ed] Gloria Phillips-Wren, Sven Carlsson, Ana Respício & Patrick Brézillon, IOS Press, 2014, s. 265-276Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
IOS Press, 2014
Serie
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 261
Nyckelord
Business Intelligence, Business Analytics, complex-systems, volume-operations, analytic maturity
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
Informationssystem (IS)
Identifikatorer
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)
Konferens
IFIP TC8/Working Group 8.3 conference, Université Pierre et Marie Curie, Paris, France, June 2014
Tillgänglig från: 2014-10-27 Skapad: 2014-10-27 Senast uppdaterad: 2019-03-05Bibliografiskt granskad
Organisationer
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0001-5435-9535

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