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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, Gothenburg, 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)
    Abstract [en]

    This paper describes our approach and experiences of applying techniques in complex event processing to fleet management systems. Current fleet management systems do not have support for complex event processing, hence they are limited to reacting to simple events such as door open, and vehicle reached waypoint. We argue that fleet management systems can benefit from having support for complex event processing. In this paper we present an implemented fleet management system that supports complex event processing.

  • 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.

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    Challenges with BI adoption in SMEs
  • 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.

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  • 6.
    Holm, Magnus
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Möta studenterna mitt i yrkeslivet2023In: Bidrag från den 9:e utvecklingskonferensen för Sveriges ingenjörsutbildningar / [ed] Joel Midemalm; Amir Vadiee; Elisabeth Uhlemann; Fredrik Georgsson; Gunilla Carlsson-Kvarnlöf; Jonas Månsson; Kristina Edström; Lennart Pettersson; Pedher Johansson, Västerås: Mälardalens universitet, 2023, p. 136-149Conference paper (Refereed)
    Abstract [sv]

    Dagens situation, med mycket snabb teknisk utveckling samt globaliserings- och hållbarhetsfrågor som påtagligt påverkar vårt samhälle omkullkastar många av de tidigare sanningar som format bilden av högre utbildning i allmänhet och utbildning som är arbetsmarknadsanknuten i synnerhet. Ett gällande synsätt där yrkesliv följer kronologiskt efter en inledande utbildningsfas i unga människors liv blir allt merdaterad. Begreppet ”det livslånga lärandet” omfattar ett synsätt där utbildning ochyrkesliv verkar växelvis under ett helt arbetsliv, där individen återkommande behöverfylla på, reflektera över och därigenom få stöd att implementera ny kunskap. Det ärav stor vikt att akademin tar till sig och möjliggör för människor mitt i livet att ta del av och reflektera över ny kunskap och de möjligheter som den ger. Inte minst ärdetta viktigt inom teknikintensiva yrkesroller där påverkan från disruptiv teknisk utvecklingen är påtaglig. Med utgångspunkt i vårt arbete under 15 år riktar vi oss med denna artikel till kollegor inom det livslånga lärandet och presenterar upplägg och genomförande av onlinekurser där studenterna är mitt i yrkeslivet.

  • 7.
    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.

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    Communicating CI in manufacturing companies
  • 8.
    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. 

  • 9.
    Liu, Yu
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Applying Life Cycle Assessment to Simulation-Based Decision Support: A Swedish Waste Collection Case Study2020In: Advances and New Trends in Environmental Informatics: ICT for Sustainable Solutions: Conference proceedings / [ed] Rüdiger Schaldach; Karl-Heinz Simon; Jens Weismüller; Volker Wohlgemuth, Cham: Springer, 2020, Vol. 1, p. 165-178Conference paper (Refereed)
    Abstract [en]

    A method of integrating life cycle assessment into a simulation-based decision support system has been developed to help decision-makers take environmental impact into account during daily operations. The method was demonstrated in a real-world case study involving eight different trucks, which were selected and maintained by the case company. The trucks used different fuels, namely diesel, biodiesel, vehicle gas, and electricity. Compared to conventional diesel trucks, those using biodiesel emitted 37% less greenhouse gas (GHG) emissions. Gas trucks reduced GHG emissions by a further 40%. Overall, electric trucks have the lowest emissions. This paper also addresses the development of the methodology for this study. In particular, comparisons are made regarding the selection of different functional units and system activity mapping. Ways of achieving more accurate conclusions in future studies are discussed. 

  • 10.
    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.
    Review of simulation-based life cycle assessment in manufacturing industry2019In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 7, no 1, p. 490-502Article in journal (Refereed)
    Abstract [en]

    The manufacturing industry has a duty to minimize its environmental impact, and an increasing body of legislation mandates environmental impact evaluations from a life cycle perspective to prevent burden shift. The manufacturing industry is increasing its use of computer-based simulations to optimize production processes. In recent years, several published studies have combined simulations with life cycle assessments (LCAs) to evaluate and minimize the environmental impact of production activities. Still, current knowledge of simulations conducted for LCAs is rather disjointed. This paper accordingly reviews the literature covering simulation-based LCAs of production processes. The results of the review and cross-comparison of papers are structured in terms of seven elements in line with the ISO standard definition of LCA and report the strengths and limitations of the reviewed studies. © 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

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  • 11.
    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, 2006Conference paper (Refereed)
    Abstract [en]

    In this paper a mapping between retail concepts and the JDL model is proposed. More specifically, the benefits of using solutions to military problems as inspiration to retail specific problems are discussed. The somewhat surprising conclusion is that there are several similarities between the military and retail domains, and that these similarities potentially could be exploited. A few examples of retail problems that could benefit from theories and techniques commonly used in the Information Fusion community are given. All examples are taken from recently started or planned projects within the Information Fusion research program at the University of Skövde, Sweden.

  • 12.
    Redondo Verdú, Celia
    et al.
    University of Skövde, School of Engineering Science.
    Sempere Maciá, Natalia
    University of Skövde, School of Engineering Science.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Holm, Magnus
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Schmidt, Bernard
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Olsson, Jerry
    Skandia Elevator AB.
    Enhancing Manual Assembly Training using Mixed Reality and Virtual Sensors2023In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271Article in journal (Refereed)
    Abstract [en]

    In recent years Mixed Reality technology has been widely used to enhance operators in manual assembly operations. This paper introduces a Mixed Reality environment for assembly operations and describes how the process can be supported by virtual sensors. The structure of the environment allows seamless adaption from a fully virtual training scenario, only using virtual assets, to a full production scenario supporting operators in assembling physical products in actual production. The training system which has been developed together with the company Skandia Elevator in Sweden enables the operators to train with much less disturbance to the real production line compared to training using the actual production equipment. In fact, the training can be done only using virtual assets.

  • 13.
    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.

  • 14.
    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 / [ed] Paul Johannesson, Eva Söderström, Hershey: IGI Global, 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.

  • 15.
    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 (Refereed)
  • 16.
    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)
  • 17.
    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)
  • 18.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Carlsson, Sven A.
    Informatics and Institute of Economic Research, School of Economics and Management, Lund University, Sweden.
    Provision of External Data for DSS, BI, and DW by Syndicate Data Suppliers2008In: Collaborative Decision Making: Perspectives and Challenges / [ed] Pascale Zaraté, Jean Pierre Belaud, Guy Camilleri, Franck Ravat, Amsterdam: IOS Press, 2008, p. 245-256Conference paper (Refereed)
    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.

  • 19.
    Strand, Mattias
    et al.
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Carlsson, Sven A.
    Lund University, Sweden.
    Syndicate Date Suppliers: Their Business Environment, the Industry, and Their Core Business Process2008In: Encyclopaedia of Decision Making and Decision Support Technologies / [ed] Frederic Adam, Patrick Humphreys, IGI Global, 2008, p. 848-855Chapter in book (Other academic)
  • 20.
    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)
  • 21.
    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.

  • 22.
    Strand, Mattias
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Using external data in a BI solution to optimise waste management2020In: Journal of Decision Systems, ISSN 1246-0125, E-ISSN 2116-7052, Vol. 29, no 1, p. 53-68Article in journal (Refereed)
    Abstract [en]

    BI solutions are constantly being developed to support decision-making at various organisational levels. These solutions facilitate the compilation, aggregation and summarisation of large volumes of data. Consequently, the business value created by these systems is increasing as they sustain more and more advanced analytics, ranging from descriptive analytics, to predictive analytics, to prescriptive analytics. However, most organisations work primarily with internal data. Despite many references in the literature to the value hidden in external data, details on how such data can be used are scarce. In this paper, we present the results of an extensive action case study at a public waste management company. The results illustrate how external data from several external data sources, integrated into an up-and-running BI solution, are used jointly to allow for descriptive and predictive analytics, as well as prescriptive analytics. In addition, details of these analytical values are given and related to organisational benefits.

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    fulltext
  • 23.
    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.

  • 24.
    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.

  • 25.
    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.

  • 26.
    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, Mikael Lind, Lund, 2005, p. 387-396Conference paper (Refereed)
  • 27.
    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. 21-26Chapter in book (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.

  • 28.
    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)
  • 29.
    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)
  • 30.
    Su, Yanhui
    et al.
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Backlund, Per
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Engström, Henrik
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Data-driven Method for Mobile Game Publishing Marketing Promotion2021In: Proceedings 2021 IEEE International Conference on e-Business Engineering ICEBE 2021: 12-14 November 2021 Guangzhou, China, IEEE, 2021, p. 35-42Conference paper (Refereed)
    Abstract [en]

    Marketing is vital for game businesses. However, it is hard to reach the target audiences and choose the right marketing strategies for different user acquisition channels in mobile game publishing. This paper shows how business intelligence can guide independent (indie) mobile game developers to do marketing promotion based on a data-driven method. We apply and extend the ARM funnel model from social game publishing to mobile game publishing and provide a data-driven method to evaluate the marketing promotion performance. First, in order to address indie game marketing challenges, we propose a data-driven method by defining key metrics and applying two different analysis methods for assessing mobile game marketing promotion. Second, we apply our data-driven method to an indie mobile game project and guide the indie game studio to determine the potential marketing promotion issues. Third, we also provide suggestions on improving marketing performance based on analysis results, especially by differentiating between channels. Finally, we summarize how our method can be generalized and used to guide indie mobile game marketing promotion, find high-quality channels for user acquisition, improve the marketing promotion effect, and discuss future research work.

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  • 31.
    Su, Yanhui
    et al.
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Backlund, Per
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Engström, Henrik
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    The Fish Tank Model for Mobile Game Publishing Business Performance Evaluation2019In: Information Systems Development: Information Systems Beyond 2020: ISD2019 Proceedings / [ed] A. Siarheyeva; C. Barry; M. Lang; H. Linger; C. Schneider, Toulon, France: ISEN Yncréa Méditerranée , 2019Conference paper (Refereed)
    Abstract [en]

    Business intelligence has been applied in the area of game development research for many years. However, few systematic research efforts are focusing on the game publishing side, especially for the mobile game publishing business. We aim to identify and remedy the shortcomings of the existing ARM funnel model for free-to-play mobile game analytics by introducing a new model, the Fish Tank Model, which combines the analysis of players’ behavior with in-game system data to drive the whole process of mobile game publishing. Based on the new model, we also bring and create relevant metrics for effectively measuring the business performance of mobile game publishing. Our main contributions are a survey of business intelligence used in game research and an analysis to reveal the insufficiency of an existing model for game publishing. Finally, we discuss business requirements for mobile game publishing and propose a brand-new model which better suits the free-to-play mobile game publishing business performance evaluation.

  • 32.
    Thorvald, Peter
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Holm, Magnus
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Strand, Mattias
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Romero, David
    School of Engineering and Sciences, Tecnológico de Monterrey, Mexico City, Mexico.
    The Augmented Welder Profile: Augmenting Craftmanship with Digital and Collaborative Tools2023In: Augmented, Virtual and Mixed Reality Simulation: Proceedings of the AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2023 Hawaii Edition), Hawaii, USA, 4-6 December, 2023 / [ed] Tareq Ahram; Waldemar Karwowski, New York: AHFE International Open Access , 2023, p. 9-18Conference paper (Refereed)
    Abstract [en]

    More and more applications of Augmented Reality (AR) in manufacturing industries are introduced every day and while recent research has shown that one of the more popular applications, high volume assembly instructions, might not offer the best setting for this technology, many other applications exist that do. For assembly, remote guidance or training, rare assemblies, low takt time and high mix production, do still show promise. This article introduces the role of the Augmented Welder, a role utilizing AR technology for the programming of a welding robot. An operator support system in the form of a custom application programmed in Unity and visualized with a pair of Hololens2, connected to an ABB robot through RobotStudio. The robot is equipped with a welding gun dummy. The operator can, through the Hololens2, set safety boundaries, introduce work pieces, place targets in a 3D space, simulate the robot path, send the program to the robot, and activate the physical robot, among other things. We performed a modified pluralistic walkthrough to evaluate the operator support system both with respect to our application but also to search valuable insight to the general use of AR in the use of such applications. Results showed that while the subjects were generally positive towards the support system, several issues were identified and raised by various degrees of severity. The primary issues arose around the navigation and interaction with 2D menus and 3D objects in a 3D Mixed Reality (MR) space. The absence of physics confused the subjects as they could not interact with the virtual objects as they would have with physical objects. The lack of physics simply meant that they didn't act the same. Furthermore the interaction with 2D menus in a 3D space was both reported and observed as being very difficult as the 2D representations probably led to problems with depth perception. The general results of the debriefing indicated that using AR for robot programming was challenging although some of this can be attributed to the fact that this was the participants first use of such a system. The users indicated that the menus were appropriate and that the interaction was intuitive while the navigation within the system was not experienced as natural which confirms the above-mentioned issues with menus disappearing from the line of sight and feedback around generated target points being absent.

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