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  • 1.
    Berndtsson, Mikael
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Admyre, Marco
    RuleCore, Sweden.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, The Informatics Research Centre.
    A Fleet Management System Based on Complex Event Processing2014In: DSS 2.0 – Supporting Decision Making with New Technologies / [ed] Gloria Phillips-Wren, Sven Carlsson, Ana Respício, Patrick Brézillon, IOS Press, 2014, p. 241-252Conference paper (Refereed)
  • 2.
    Gudfinnsson, Kristens
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Berndtsson, Mikael
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, The Informatics Research Centre.
    Taking Advantage of Business Intelligence in a Complex-Systems Environment2014In: 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 (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.

  • 3.
    Gudfinnsson, Kristens
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Challenges with BI adoption in SMEs2017In: Proceedings of the 8th International Conference on Information, Intelligence, Systems & Applications (IISA), IEEE, 2017, , p. 6p. 172-177Conference 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.

  • 4.
    Gudfinnsson, Kristens
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    On transforming into the data-driven decision-making era: current state of practice in manufacturing smes2018In: 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 (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.

  • 5.
    Gudfinnsson, Kristens
    et al.
    University of Skövde, The Informatics Research Centre. University of Skövde, School of Informatics.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Berndtsson, Mikael
    University of Skövde, The Informatics Research Centre. University of Skövde, School of Informatics.
    Analyzing Business Intelligence Maturity2015In: Journal of Decision Systems, ISSN 1246-0125, E-ISSN 2116-7052, Vol. 24, no 1, p. 37-54Article in journal (Refereed)
    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.

  • 6.
    Larsson, Carina
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Persson, Anne
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Communicating continuous improvement in manufacturing companies: Divergencies between current practice and theory2017Conference paper (Refereed)
    Abstract [en]

    Succeeding with continuous improvement is important for manufacturing companies to increase the competitive edge. In order to succeed with continuous improvement, literature shows that communication of improvement indicators need to be integrated with communication of control indicators. This paper identifies divergencies between current practice and theory in the communication of CI, which can be a reason for why manufacturing companies fail in their CI implementation. An integration of control indicators and improvement indicators could improve continuous improvement results, increasing business performance.

  • 7.
    Liu, Yu
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    A Review of Simulation Based Life Cycle Assessment in Manufacturing Industry2018In: 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, Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam, Berlin, Washington,DC: IOS Press, 2018, Vol. 8, p. 381-386Conference paper (Refereed)
    Abstract [en]

    The manufacturing industry has a duty to minimize their environmental impact and more and more legislations include environmental impact evaluations from a life cycle perspective to avoid burden shift. Current manufacturing industry increase their use of computer-based simulations for optimizing production processes. In recent years, a number of studies have been published, combining simulations with life cycle assessments (LCA), to evaluate and minimize the environmental impact of production activities, as part of improving the production processes. Still, current knowledge concerning simulations for LCA is rather scattered. Therefore, this paper reviews relevant literature covering simulation based LCA for production development. The results of the review and cross comparison of papers are structured following the 6 categories in line with the ISO standard definition of LCA (goal formulation, scope definition, environmental impact assessment, data quality, level of modelling details, and model validation) and report the strengths and constraints of the reviewed studies. 

  • 8.
    Löfström, Tuve
    et al.
    University of Skövde, School of Humanities and Informatics.
    König, Richard
    University of Skövde, School of Humanities and Informatics.
    Johansson, Ulf
    University of Skövde, School of Humanities and Informatics.
    Niklasson, Lars
    University of Skövde, School of Humanities and Informatics.
    Strand, Mattias
    University of Skövde, School of Humanities and Informatics.
    Ziemke, Tom
    University of Skövde, School of Humanities and Informatics.
    Benefits of Relating the Retail Domain to Information Fusion2006In: 9th International Conference on Information Fusion: IEEE ISIF, IEEE conference proceedings, 2006, p. Article number 4085930-Conference paper (Refereed)
  • 9.
    Strand, Mattias
    University of Skövde, School of Humanities and Informatics.
    External Data Incorporation into Data Warehouses2005Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Most organizations are exposed to increasing competition and must be able to orient themselves in their environment. Therefore, they need comprehensive systems that are able to present a holistic view of the organization and its business. A data warehouse (DW) may support such tasks, due to its abilities to integrate and aggregate data from organizationally internal, as well as external sources and present the data in formats that support strategic and tactical decision-makers.

    Traditionally, DW development projects have focused on data originating from internal systems, whereas the benefits of data acquired external to the organization, i.e. external data, have been neglected. However, as it has become increasingly important to keep track of the competitive forces influencing an organization, external data is gaining more attention. Still, organizations are experiencing problems when incorporating external data and these hinder the organizations from exploiting the potential of external data and prevent them to achieving return on their investments. In addition, current literature fails to assist organizations in avoiding or solving common problems.

    Therefore, in order to support organizations in their external data incorporation initiatives, a set of guidelines have been developed and contextualized. The guidelines are also complemented with a state of practice description, as a means of taking one step towards a cohesive body of knowledge regarding external data incorporation into DWs. The development of the guidelines, as well as the establishment of a state of practice description, was based upon the material from two literature reviews and four interview studies. The interview studies were conducted with the most important stakeholders when incorporating external data, i.e. the user organizations (2 studies), the DW consultants, and the suppliers of the external data. Additionally, in order to further ground the guidelines, interviews with a second set of DW consultants were conducted.

  • 10.
    Strand, Mattias
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Refining the Concept of Syndicate Data: Categories and Characteristics, Definitions, and a View Ahead2008In: Information Systems Engineering: From Data Analysis to Process Networks, IGI publications , 2008, p. 292-307Chapter in book (Other academic)
    Abstract [en]

    This chapter introduces the concepts of external data and syndicate data. It contributes with a conceptual discussion regarding different categories of syndicate data, as well as definitions and applications thereof. In addition, the chapter also gives a view ahead for syndicate data, with respect to organizational, as well as technological challenges and trends. Thereby, it increases the understanding for syndicate data as a vital component in business intelligence initiatives and explains why external data in general and syndicate data in particular has become prerequisites in modern information systems. Furthermore, the author hopes that the categorization and view ahead will not only contribute to researchers through the conceptual discussion and the definitions of concepts, but also to practitioners spending resources on data originating from outside the own organization, by increasing the understanding of the concepts and the actors within the industry.

  • 11.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics.
    Backlund, Per
    University of Skövde, School of Humanities and Informatics.
    A Case of Knowledge Transfer: Problems Contextualized and Guideline Suggested2004In: 27th Conference on Information Systems Research in Scandinavia: IRIS, 2004, p. 71-86Conference paper (Other academic)
  • 12.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics.
    Backlund, Per
    University of Skövde, School of Humanities and Informatics.
    Knowledge Transfer between networking organizations: a case evaluated and lessons learned2005In: Information modelling and knowledge bases XVI / [ed] Yasushi Kiyoki, Benkt Wangler, Hannu Jaakkola, Hannu Kangassalo, Amsterdam: IOS Press, 2005, p. 336-343Conference paper (Refereed)
  • 13.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics.
    Benkt, Wangler
    University of Skövde, School of Humanities and Informatics.
    Marcus, Olsson
    University of Skövde, School of Humanities and Informatics.
    Incorporating External Data into Data Warehouses: Characterizing and categorizing suppliers and types of external data2003In: AMCIS 2003 Proceedings, 2003, p. 2460-2468Conference paper (Refereed)
  • 14.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Carlsson, Sven A
    Provision of External Data for DSS, BI, and DW by Syndicate Data Suppliers2008In: Collaborative Decision Making: Perspectives and Challenges, IOS Press, 2008, p. 245-256Chapter in book (Other academic)
    Abstract [en]

    In order to improve business performance and competitiveness it is important for firms to use data from their external environment. More and more attention is directed towards data originating external to the organization, i.e., external data. A firm can either collect this data or cooperate with an external data provider. We address the latter case and focus syndicate data suppliers (SDSs). They are the most common sources when incorporating external data into business intelligence, DSS, and DW solutions. SDSs are specialized in collecting, compiling, refining, and selling data. We provide a detailed description regarding the business idea of syndicate data suppliers and how they conduct their business, as well as a description of the industry of syndicate data suppliers. As such, the paper increases the understanding for external data incorporation and the possibility for firms to cooperate with syndicat data suppliers.

  • 15.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Carlsson, Sven A
    Syndicate Date Suppliers: Their Business Environment, the Industry, and Their Core Business Process2008In: Encyclopaedia of Decision Making and Decision Support Technologies, IKI Global , 2008, p. 848-855Chapter in book (Other academic)
  • 16.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics.
    Lundell, Björn
    University of Skövde, School of Humanities and Informatics.
    Syndicate Data Incorporation into Data Warehouses: Contrasting Consumer Problems with Supplier Viewpoints2006In: Interoperability of Enterprise Software and Applications: INTEROP-ESA’2005 / [ed] Dimitri Konstantas, Jean-Paul Bourrières, Michel Léonard, Nacer Boudjlida, Springer London, 2006, p. 421-432Conference paper (Refereed)
  • 17.
    Strand, Mattias
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Incorporating external data into a BI solution at a public waste management organization2019In: International Journal of Business Intelligence Research, ISSN 1947-3591, E-ISSN 1947-3605, Vol. 10, no 2, p. 36-56Article in journal (Refereed)
    Abstract [en]

    Organizations are showing an increasing interest in incorporating external data into their business intelligence solutions. Such data allows for advanced analytics and enables more comprehensive and inclusive decision-making. However, external data incorporation is relatively unexplored in the literature, and scientifically published details on up-and-running BI solutions are very sparse. In addition, published literature concerning the incorporation of external data into BI solutions is often rather synoptic or rather old (originating from data warehouse related literature). Therefore, the authors present the results of an action case study at a public waste management organization, illustrating detailed aspects of external data incorporation related to the back-end of the solution such as data selection, source characteristics, acquisition technologies and frequencies, and integration approaches. Given that the external origin of the data poses specific problems that must be overcome in order to allow for successful incorporation initiatives, special attention was paid to such problems. Copyright © 2019, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

  • 18.
    Strand, Mattias
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Geertsen, André
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    A Decision Support System for Sustainable Waste Collection2017In: International Journal of Decision Support System Technology, ISSN 1941-6296, E-ISSN 1941-630X, Vol. 9, no 4, p. 49-65, article id 4Article in journal (Refereed)
    Abstract [en]

    This paper presents a decision support system (DSS) for making the waste collection process more sustainable. Currently, waste collection schedules and routes are created manually in most waste management organizations. Thisis both very time consuming and likely to result in poorsolutions, as the task is extremely difficult due to the large number of bins combined with the many parametersto be considered simultaneously. With a sophisticated DSS, it becomes possible to addressthe complexities of optimal waste collection and improve sustainability—not least from the environmental perspective. The DSS proposed here is designed to be used on the operational level in the waste management organization and supports daily operations and activities. System evaluation indicatesthat it can reduce truck operating time by approximately 25%, corresponding to a saving of approximately 21,300 kg of carbon dioxide and 187 kg of nitrogen oxides per year and truck.

  • 19.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics.
    Wangler, Benkt
    University of Skövde, School of Humanities and Informatics.
    Incorporating external data into data warehouses: problems identified and contextualized2004In: Fusion 2004: Proceedings of the seventh International Conference on Information Fusion, 28 June - 1 July, Clarion Hotel, Stockholm, Sweden. Vol. 1 / [ed] Per Svensson & Johan Schubert, International Society of Information Fusion (ISIF) , 2004, p. 288-294Conference paper (Other academic)
    Abstract [en]

    Incorporating external data into data warehouses is a rather unexplored area and deserves more attention, especially if considering the resources organizations spend on acquiring data from specialized data suppliers. Therefore, this paper gives the results of an interview study partly aimed at evaluating, from a general perspective, the outline of such a process and related problems. The results show that trust and cost issues are utmost important characteristics to consider when acquiring external data. In addition, the results also show that the organizations incorporating external data need some type of hands-on support, for being able to fully exploit the potential thereof. Finally, the results also gave the outline of the external data incorporation process.

  • 20.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics.
    Wangler, Benkt
    University of Skövde, School of Humanities and Informatics.
    Laurén, Carl-fredrik
    University of Skövde, School of Humanities and Informatics.
    Acquiring and integrating external data into data warehouses: Are you familiar with the most common process?2004In: ICEIS 2004: Proceedings of the Sixth International Conference on Enterprise Information Systems / [ed] I. Seruca, J. Filipe, S.Hammoudi, J. Cordeiro, Universität Trier , 2004, p. 508-513Conference paper (Refereed)
    Abstract [en]

    Data warehouses (DWs) have become one of the major IT-investments during the last decades and in order to fully exploit the potential of data warehouses, more and more organizations are acquiring and integrating external data into their star-schemas. However, the literature covering external data acquisition and integration is limited. Therefore, in this paper the results of an interview study conducted among banking organizations are presented. The study aimed at identifying different approaches for acquiring and integrating external data into DWs. The results show that there are many different approaches for the acquisition and integration, depending on the purpose and structure of the data being acquired. In addition, the most common external data acquisition and integration process is presented and discussed.

  • 21.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics.
    Wangler, Benkt
    University of Skövde, School of Humanities and Informatics.
    Lundell, Björn
    University of Skövde, School of Humanities and Informatics.
    The Syndicate Data Supplier - Consumer Constellation: an Exploratory Study on the Supplier Side2005In: Promote IT 2005: proceedings of the fifth Conference for the Promotion of Research in IT at New Universities and University Colleges in Sweden: Borlänge, Sweden 11-13 May, 2005 / [ed] Janis Bubenko jr, Owen Eriksson, Hans Fernlund and Mikael Lind, Lund: Studentlitteratur, 2005, p. 387-396Conference paper (Refereed)
  • 22.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics.
    Wangler, Benkt
    University of Skövde, School of Humanities and Informatics.
    Lundell, Björn
    University of Skövde, School of Humanities and Informatics.
    The Work Process of Syndicate Data Suppliers: Actors Related and Common Problems Identified2005In: Proceedings of the CAiSE' 05 Forum: 13 - 17 June 2005, Porto, Portugal: revised short papers / [ed] Orlando Belo, Johann Eder, João Falcão e Cunha, Oscar Pastor, Porto: Faculdade de Engenharia da Universidade do Porto , 2005, p. 21-26Conference paper (Refereed)
    Abstract [en]

    The research reported in this paper extends current knowledge of syndicate data incorporation into data warehouses (DWs). It does so by employing an interview study towards syndicate data suppliers (SDSs). The results describe, in detail, a generic work process, with related problems, for how the SDSs work with the data. In addition, the paper also relates the actors that regulate or collaborate with the SDSs, to the process activities. The results show that the SDSs encounter problems like transcending data errors, non-interoperating systems, and a non-tailoring attitude among their sources.

  • 23.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics.
    Wangler, Benkt
    University of Skövde, School of Humanities and Informatics.
    Lundell, Björn
    University of Skövde, School of Humanities and Informatics.
    Niklasson, Markus
    University of Skövde, School of Humanities and Informatics.
    Syndicate Data Incorporation into Data Warehouses: A Categorization and Verification of Problems2006In: Advances in Information Systems Development: Bridging the Gap between Academia and Industry / [ed] Anders G. Nilsson, Remigijus Gustas, Wita Wojtkowski, W. Gregory Wojtkowski, Stanisław Wrycza, Jože Zupančič, Springer, 2006, p. 981-993Conference paper (Refereed)
  • 24.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics.
    Wangler, Benkt
    University of Skövde, School of Humanities and Informatics.
    Niklasson, Markus
    University of Skövde, School of Humanities and Informatics.
    External data incorporation into data warehouses: an exploratory study of identification and usage practices in banking organizations2004In: CAiSE Forum at the 16th International Conference on Advanced Information Systems Engineering: CAiSE'04, 2004, p. 103-112Conference paper (Other academic)
1 - 24 of 24
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