Change search
Refine search result
1 - 45 of 45
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Alirezaie, Marjan
    et al.
    Örebro Universitet.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. RISE SICS East AB, Linkoping, Sweden.
    Blomqvist, Eva
    Linköpings Universitet.
    Nyström, Mikael
    Linköpings Universitet.
    Ivanova, Valentina
    Linköpings Universitet.
    SmartEnv Ontology in E-care@home2018In: SSN 2018 - Semantic Sensor Networks Workshop: Proceedings of the 9th International Semantic Sensor Networks Workshopco-located with 17th International Semantic Web Conference (ISWC 2018) / [ed] Maxime Lefrançois, Raúl Garcia Castro, Amélie Gyrard, Kerry Taylor, CEUR-WS , 2018, Vol. 2213, p. 72-79Conference paper (Refereed)
    Abstract [en]

    In this position paper we briefly introduce SmartEnv ontology which relies on SEmantic Sensor Network (SSN) ontology and is used to represent different aspects of smart and sensorized environments. We will also talk about E-carehome project aiming at providing an IoT-based health-care system for elderly people at their homes. Furthermore, we refer to the role of SmartEnv in Ecarehome and how it needs to be further extended to achieve semantic interoperability as one of the challenges in development of autonomous health care systems at home.

  • 2.
    Benkenstein, Martin
    et al.
    Institute for Business Administration, University of Rostock, Rostock, Germany.
    Fellmann, Michael
    Institute of Computer Science, University of Rostock, Rostock, Germany.
    Leyer, Michael
    Institute for Business Administration, University of Rostock, Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    The value of enterprise modelling: Towards a service-centric perspective2016In: The practice of enterprise modeling: 9th IFIP WG 8.1. Working Conference, PoEM 2016, Skövde, Sweden, November 8-10, 2016, Proceedings / [ed] Jennifer Horkoff, Manfred A. Jeusfeld & Anne Persson, Springer, 2016, p. 299-306Conference paper (Refereed)
    Abstract [en]

    Enterprise modeling is an important and widespread activity in managing enterprises. A well-founded conceptualization of its value is however missing so far which can be traced back to different understandings of constituents of enterprise modelling. Addressing these different understandings, we propose to take a service-centric perspective to determine the value of enterprise modelling. We describe the benefits of this perspective and justify our positioning regarding a service-centric perspective.

  • 3.
    Bernhard, Jonte
    et al.
    ITN, Campus Norrköping, Linköping University, Norrköping, Sweden.
    Carstensen, Anna-Karin
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Karlsson, Kjell
    ITN, Campus Norrköping, Linköping University, Norrköping, Sweden .
    Alternating currents first: Experiences from designing a novel approach to teaching electric circuit theory2016In: 44th Annual Conference of the European Society for Engineering Education - Engineering Education on Top of the World: Industry-University Cooperation, SEFI 2016, European Society for Engineering Education (SEFI) , 2016Conference paper (Refereed)
    Abstract [en]

    BACKGROUND: Commonly in electric circuit theory courses, circuit laws are first introduced in the context of direct current (DC) electricity and first thereafter are alternating currents (AC) introduced. The extension of DC-theory to AC is quite easily done mathematically but is conceptually difficult for students. Engineering students have difficulties in understanding phase relationships and phasor representations in AC-electricity. Indeed, it has been suggested that phase should be seen as a threshold concept.

    PURPOSE: The purpose of this study was to investigate if a re-designed introductory electric circuit course could improve students’ understanding of important concepts in AC-electricity.

    METHOD and COURSE DESIGN: The course was re-designed introducing AC and DC electricity simultaneously. DC was introduced as a special case of AC with requency equals zero. The re-designed course was taught for the first time during the spring semester 2014 and a new textbook was written. A conceptual test was developed and first administered in 2013 to serve as a baseline and in subsequent years to evaluate the revised course. In 2014 the students’ courses of action in selected lab-groups were video-recorded.

    RESULTS: In the first revision cycle many students had difficulties to complete the labs in time. Students revealed a mixed response towards the revised course and the results on the conceptual test showed neglible improvement. In the second cycle revisions the number tasks were reduced and focus was laid on tasks that were identified as most important for contributing to the development of student understanding. As a result the learning gain improved with an effect size (Cohen’s delta) of 0.56. Also the course and the textbook were very well appreciated. In the third cycle only small revisions are made.

    CONCLUSION: The results show that that AC-electricity can be taught concurrently with DC. However, two revisions cycles was needed which demonstrates that curriculum development needs a sustained effort over a considerable period of time with continuous revisions in light of gained experiences. In further revision we will continue to refine the labs and to develop appropriate interactive lecture demonstrations for the lectures and to develop the problems.

  • 4.
    Blomqvist, Eva
    et al.
    Linköping University, Linköping, Sweden.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Presutti, Valentina
    ISTC-CNR, Rome, Italy.
    Engineering Ontologies with Patterns - The eXtreme Design Methodology2016In: Ontology Engineering with Ontology Design Patterns / [ed] Pascal Hitzler, Aldo Gangemi, Krzysztof Janowicz, Adila Krisnadhi, Valentina Presutti, IOS Press, 2016, p. 23-50Chapter in book (Refereed)
    Abstract [en]

    When using Ontology Design Patterns (ODPs) for modelling new parts of an ontology, i.e., new ontology modules, or even an entire ontology from scratch, ODPs can be used both as inspiration for different modelling solutions, as well as concrete templates or even “building blocks” reused directly in the new solution. This chapter discusses how ODPs, and in particular Content ODPs, can be used in ontology engineering. In particular, a specific ontology engineering methodology is presented, which was originally developed for supporting ODP use. However, this methodology, the eXtreme Design (XD), also has some characteristics that set it apart from most other ontology engineering methodologies, and which may be interesting to consider regardless of how much emphasis is put on the ODP usage. Towards the end of the chapter some XD use cases are also reported and discussed, as well as lessons learned from applying XD. The chapter is concluded through a summary and discussion about future work.

  • 5.
    Boström, Henrik
    et al.
    Department of Computer and Systems Sciences, Stockholm University, Kista, Sweden.
    Linusson, Henrik
    Department of Information Technology, University of Borås, Borås, Sweden.
    Löfström, Tuve
    Department of Information Technology, University of Borås, Borås, Sweden.
    Johansson, Ulf
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Evaluation of a variance-based nonconformity measure for regression forests2016In: Conformal and Probabilistic Prediction with Applications, Springer, 2016, p. 75-89Conference paper (Refereed)
    Abstract [en]

    In a previous large-scale empirical evaluation of conformal regression approaches, random forests using out-of-bag instances for calibration together with a k-nearest neighbor-based nonconformity measure, was shown to obtain state-of-the-art performance with respect to efficiency, i.e., average size of prediction regions. However, the use of the nearest-neighbor procedure not only requires that all training data have to be retained in conjunction with the underlying model, but also that a significant computational overhead is incurred, during both training and testing. In this study, a more straightforward nonconformity measure is investigated, where the difficulty estimate employed for normalization is based on the variance of the predictions made by the trees in a forest. A large-scale empirical evaluation is presented, showing that both the nearest-neighbor-based and the variance-based measures significantly outperform a standard (non-normalized) nonconformity measure, while no significant difference in efficiency between the two normalized approaches is observed. Moreover, the evaluation shows that state-of-theart performance is achieved by the variance-based measure at a computational cost that is several orders of magnitude lower than when employing the nearest-neighbor-based nonconformity measure. 

  • 6.
    Bär, Florian
    et al.
    University of Rostock, Munich University of Applied Sciences, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics. University of Rostock, Germany.
    Schmidt, Rainer
    Munich University of Applied Sciences, Germany.
    On the Maturity of Service Process Modeling and Analysis Approaches2016In: 19th International Conference, BIS 2016, Proceedings, Leipzig, July 6-8, 2016. / [ed] Witold Abramowicz, Rainer Alt, Bogdan Franczyk, Springer, 2016, Vol. 255, p. 356-367Conference paper (Refereed)
    Abstract [en]

    Prior research has provided a number of approaches for the specification and analysis of service processes. However, little is known about their level of maturity regarding considered dimensions and characteristics. The present study represents a first step towards filling this gap. Drawing upon recent formalizations and delineations of service, a model for assessing the maturity of service modeling and analysis tools is derived. As part of a systematic literature review, it is applied to a set of 47 service blueprinting techniques to determine their maturity. The study’s findings indicate a high level of maturity regarding control flow and resource integration for most of the identified approaches. However, there are several shortcomings with respect to the input and output dimensions of the service process. The study proposes a set of research questions to stimulate future research and address the identified shortcomings.

  • 7.
    Carstensen, Anna-Karin
    et al.
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Bernhard, Jonte
    Linköpings universitet, Institutionen för teknik och naturvetenskap, Fysik och elektroteknik. Norrköping.
    Make Links: Overcoming the Threshold and Entering the Portal of Understanding2016In: Threshold Concepts in Practice / [ed] Ray Land, Jan H. F. Meyer, & Michael T. Flanagan, Rotterdam: Sense Publishers, 2016, p. 211-222Chapter in book (Refereed)
    Abstract [en]

    In engineering the student is often ‘faced with contrasting representations or models’ (Entwistle et al., 2005, p. 9), which Entwistle explores as ‘ways of thinking and practising’ (ibid). These contrasting representations are in electric circuits for example: graphs, mathematical models, drawings of circuits and the real circuits. In our research we have found that exploring the relationships - links - between these different representations, as well in the theory/model domain as in the object/event domain (Tiberghien, Vince, & Gaidioz, 2009) is of uttermost importance. We have developed a tool for investigation of ‘the learning of a complex concept’ (Carstensen & Bernhard, 2008a) which we have used in order to find critical aspects, which we call “key concepts” (Carstensen & Bernhard, 2008b), which open up the portal of understanding threshold concepts.

    In this paper we will explore these links further. As we have continued our work on how students make links between the different islands of single concepts, in order to make a whole of the complex concept, we have noted that the links between these islands are of different kinds. We will here discuss what kinds of relationships these links consist of, and how they differ in ways of coping with them for students, and how the teachers may notice and highlight these relationships in their instructions.

    We have video recorded students interactions during lab-work and analysed these tapes according to the Theory of Variation (Marton & Tsui, 2004). Now we are taking this further, and make a more detailed analysis of what the links are, and by that we contribute to the understanding of the nature of a threshold concept.

  • 8.
    Fastnacht, Claas
    et al.
    University of Rostock, Rostock, Germany.
    Koç, Hasan
    University of Rostock, Rostock, Germany.
    Nesterenko, Dimitrijs
    University of Rostock, Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Comparison of tool support for goal modelling in capability management2016In: Advanced information systems engineering workshops / [ed] John Krogstie, Haralambos Mouratidis, Jianwen Su, Springer, 2016, p. 29-39Conference paper (Refereed)
    Abstract [en]

    Capability management is attracting more and more attention in different research and industry areas. A starting point for implementing capability management in an organization often is to identify desired and existing capabilities in relation to the organization’s goals and to specify the capability. Due to the close relationship to organizational goals, tool support for capability modelling should also include capturing goal or even complete enterprise models. The aim of the paper is to contribute to an understanding what kind of tool support is suitable for capability management to capture enterprise goals. The focus in this paper is on goal modelling as part of capability modelling tools and aims at comparing modelling without computer support, modelling with tools enforcing a meta-model and modeling with support of a drawing tool. The comparison is based on experiments.

  • 9.
    Grabis, Janis
    et al.
    Riga Technical University, Latvia.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Selection and Evolutionary Development of Software-Service Bundles: A Capability Based Method2016In: CAiSE 2016 International Workshops, Proceedings, Ljubljana, June 13-17, 2016. / [ed] John Krogstie, Haralambos Mouratidis, Jianwen Su, Springer, 2016, Vol. 249, p. 3-14Conference paper (Refereed)
    Abstract [en]

    Software-service bundles are combinations of software products and services offered by their vendors to clients. The clients select a combination of software product and associated service best suited to their specific circumstances. The paper proposes an information sharing based method helping clients to select the most appropriate combination or configuration and also supporting the continuous improvement of the solution in response to changing circumstances. The method utilizes principles of the Capability Driven Development to characterize performance objectives and contextual factors affecting delivery of a software-service bundle. Application of the method is demonstrated using an illustrative example of data processing

  • 10.
    Grabis, Janis
    et al.
    Riga Technical University, Latvia.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Stamer, Dirk
    University of Rostock, Germany.
    International ERP Teaching Case: Design and Experiences2015In: 17th International Conference, ICEIS 2015, Barcelona, April 27-30, 2015., Springer, 2015, Vol. 241, p. 131-150Conference paper (Refereed)
    Abstract [en]

    Enterprise Resource Planning (ERP) systems are among the most widely used large-scale information systems. Industry and students in IT-related subjects expect that ERP training is part of the studies during university education. However, traditional teaching materials use somewhat simplified multi-role and cross-organizational processes which do not fully reflect reality in enterprises, for example with respect to role-based permissions or coordination challenges in international organizations. This paper reports on an attempt to extend the SAP ERP GBI case study towards an international dimension. For this purpose an international ERP case study was developed which is presented in the paper with its didactical approach, the technical way how to implement the case study in SAP, and the teaching environment. The work is a joint effort by University of Rostock and Riga Technical University which has a focus on enhancing introductory ERP training for study programs in information technology and business informatics. One of the key features of the international ERP case study is that students of both universities work collaboratively on running business processes in the SAP ERP system. Evaluations suggest that the students appreciate the case study as suitable means to get an insight in real-life challenges connected to ERP use in an international context.

  • 11.
    Grafkin, Pavel
    et al.
    ITMO University, Russia.
    Mironov, Mikhail
    ITMO University, Russia.
    Fellmann, Michael
    University of Rostock, Germany.
    Lantow, Birger
    University of Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Smirnov, Alexander V.
    SPARQL Query Builders: Overview and Comparison2016In: Joint Proceedings of the BIR 2016 Workshops and Doctoral Consortium co-located with 15th International Conference on Perspectives in Business Informatics Research (BIR 2016), Prague, September 14 - 16, 2016. / [ed] Björn Johansson, Filip Vencovský, CEUR-WS , 2016, Vol. 1684Conference paper (Refereed)
    Abstract [en]

    The SPARQL query language has been proposed as a simple language for querying graph-structured data on the Semantic Web. However, users have to write queries that must conform to the SPARQL syntax. This requirement might be alleviated using a SPARQL query builder that suggests relevant parts of the query. But, up to now, only a few basic comparisons of such tools exist. The goal of this paper is to develop such a comparison as the result of a structured literature analysis.

  • 12.
    Gutschmidt, Anne
    et al.
    University of Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of RostockRostock, Germany, ITMO University, Russia.
    Borchardt, Ulrike
    University of Rostock, Germany.
    Multi-touch Table or Plastic Wall?: Design of a Study for the Comparison of Media in Modeling2016In: BIS 2016 International Workshops, Leipzig, July 6-8, 2016. / [ed] Witold Abramowicz, Rainer Alt, Bogdan Franczyk, Springer, 2016, Vol. 263, p. 123-135Conference paper (Refereed)
    Abstract [en]

    An important aspect of participatory enterprise modeling is the work in a group. However, does the collaboration of the group members change depending on which medium is used to generate the models? Are there for example differences in the group’s behavior when working with a plastic wall, similar to a whiteboard, or with a multi-touch table? Based on the state of research and theoretical foundations of group work as well as previous research, relevant research issues are raised and an experimental design will be described in order to examine possible differences in the group work depending on the medium. Relevant aspects will be forms of cooperation, i.e. verbal and nonverbal contributions of the participants, but also territorial behavior and group performance.

  • 13.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    How to Document Ontology Design Patterns: Supporting Data Part 22016Data set
    Abstract [en]

    Survey data presented and discussed in the paper 'How to Document Ontology Design Patterns' presented at the Workshop on Ontology and Semantic Web Patterns in conjunction with the International Semantic Web Conference 2016.

  • 14.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Motivating and Evaluating Template-Based Content ODP Instantiation: Evaluation Dataset for WOP 2016 Submission2016Data set
  • 15.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Linkoping University.
    Quality of Content Ontology Design Patterns2016In: Ontology Engineering with Ontology Design Patterns / [ed] Pascal Hitzler, Aldo Gangemi, Krzysztof Janowicz, Adila Krisnadhi, Valentina Presutti, IOS Press, 2016, p. 51-71Chapter in book (Refereed)
  • 16.
    Hammar, Karl
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Blomqvist, Eva
    Linköping University.
    Carral, David
    Wright State University.
    Van Erp, Marieke
    Vrije Universiteit Amsterdam.
    Fokkens, Antske
    Vrije Universiteit Amsterdam.
    Gangemi, Aldo
    CNR-ISTC.
    Van Hage, Willem Robert
    Vrije Universiteit Amsterdam.
    Hitzler, Pascal
    Wright State University.
    Janowicz, Krzysztof
    University of California, Santa Barbara.
    Karima, Nazifa
    Wright State University.
    Krisnadhi, Adila
    Wright State University.
    Narock, Tom
    Marymount University.
    Segers, Roxane
    Vrije Universiteit Amsterdam.
    Solanki, Monika
    University of Oxford.
    Svatek, Vojtech
    University of Economics, Prague.
    Collected Research Questions Concerning Ontology Design Patterns2016In: Ontology Engineering with Ontology Design Patterns / [ed] Pascal Hitzler, Aldo Gangemi, Krzysztof Janowicz, Adila Krisnadhi, Valentina Presutti, IOS Press, 2016, p. 189-198Chapter in book (Refereed)
    Abstract [en]

    This chapter lists and discusses open challenges for the ODP community in the coming years, both in terms of research questions that will need be answered, and in terms of tooling and infrastructure that will need be developed to increase adoption of ODPs in academia and industry. The chapter is organised into three sections: Section 1 focuses on issues pertaining to the patterns themselves, including understanding their features and qualities, and developing pattern languages and standards. Section 2 concerns the evaluation and development of methods for using, constructing, and extracting ODPs. Finally, Section 3 focuses on tooling and infrastructure development, including Ontology Engineering environments that support pattern use, pattern repository development, and sustainability and versioning issues.

  • 17.
    Henkel, Ron
    et al.
    Heidelberg Institute for Theoretical Studies and University of Rostock, Germany.
    Lambusch, Fabienne
    University of Rostock, Germany.
    Wolkenhauer, Olaf
    University of Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Rosenke, Christian
    University of Rostock, Germany.
    Waltemath, Dagmar
    University of Rostock, Germany.
    Finding patterns in biochemical reaction networks2016In: PeerJ PrePrints, ISSN 2167-9843, Vol. 4, article id e1479v2Article in journal (Other academic)
    Abstract [en]

    Computational models in biology encode molecular and cell biological processes. Many of them can be represented as biochemical reaction networks. Studying such networks, one is often interested in systems that share similar reactions and mechanisms. Typical goals are to understand the parts of a model, to identify reoccurring patterns, and to find biologically relevant motifs. The large number of models are available for such a search, but also the large size of models require automated methods. Specifically the generic problem of finding patterns in large networks is computationally hard. As a consequence, only partial solutions for a structural analysis of models exist. Here we introduce a tool chain that identifies reoccurring patterns in biochemical reaction networks. We started this work with an evaluation of algorithms for the identification of frequent subgraphs. Then, we created graph representations of existing SBML models and ran the most suitable algorithm on the data. The result was a list of reaction patterns together with statistics about the occurrence of each pattern in the data set. The approach was validated with 575 SBML models from the curated branch of BioModels. We analysed how the resulting patterns confirm with expectations from the literature and from previous model statistics. In the future, the identified patterns can serve as a tool to measure the similarity of models

  • 18.
    Ionita, Dan
    et al.
    University of Twente, Services, Cybersecurity and Safety Group, Enschede, Netherlands.
    Kaidalova, Julia
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics. School of Informatics, University of Skövde, Sweden.
    Vasenev, Alexandr
    University of Twente, Services, Cybersecurity and Safety Group, Enschede, Netherlands.
    Wieringa, Roel
    University of Twente, Services, Cybersecurity and Safety Group, Enschede, Netherlands.
    Study on tangible participative enterprise modelling2016In: Advances in Conceptual Modeling: ER 2016 Workshops, AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME, and WM2SP, Gifu, Japan, November 14–17, 2016, Proceedings / [ed] Sebastian Link, Juan C. Trujillo, Cham: Springer, 2016, p. 139-148Conference paper (Refereed)
    Abstract [en]

    Enterprise modelling (EM) is concerned with discovering, structuring and representing domain knowledge pertaining to different aspects of an organization. Participative EM, in particular, is a useful approach to eliciting this knowledge from domain experts with different backgrounds. In related work, tangible modelling – modelling with physical objects – has been identified as beneficial for group modelling. This study investigates effects of introducing tangible modelling as part of participative enterprise modelling sessions. Our findings suggest that tangible modelling facilitates participation. While this can make reaching an agreement more time-consuming, the resulting models tend to be of higher quality than those created using a computer. Also, tangible models are easier to use and promote learnability. We discuss possible explanations of and generalizations from these observations. 

  • 19.
    Jakupovic, Jasmin
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Educated to Learn: How to enhance the education of computer science and informatics2016Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The very nature of computer science with its constant changes forces those who wish to follow to adapt and react quickly. Large companies invest in being up to date in order to generate revenue and stay active on the market. Universities, on the other hand, need to imply same practices of staying up to date with industry needs in order to produce industry ready engineers. By interviewing former students, now engineers in the industry, and current university staff this thesis aims to learn if there is space for enhancing the education through different lecturing approaches and/or curriculum adaptation and development.

    In order to address these concerns a qualitative research has been conducted, focusing on data collection obtained through semi-structured live world interviews. The method used follows the seven stages of research interviewing introduced by Kvale and focuses on collecting and preparing relevant data for analysis. The collected data is transcribed, refined, and further on analyzed in the “Findings and analysis” chapter. The focus of analyzing was answering the three research questions; learning how higher education impacts a Computer Science and Informatics Engineers’ job, how to better undergo the transition from studies to working in the industry and how to develop a curriculum that helps support the previous two. Unaltered quoted extracts are presented and individually analyzed. To paint a better picture a theme-wise analysis is presented summing valuable themes that were repeated throughout the interviewing phase.

    The findings obtained imply that there are several factors directly influencing the quality of education. From the student side, it mostly concerns expectation and dedication involving studies, and from the university side it is commitment to the curriculum development process. Due to the time and resource limitations this research provides findings conducted on a narrowed scope, although it can serve as a great foundation for further development; possibly as a PhD research.

  • 20.
    Kaidalova, Julia
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Skövde, School of Informatics, Skövde, Sweden.
    Dealing with enterprise-IT and product-IT in a manufacturing enterprise - Towards integration in enterprise architecture management2016In: PoEM-DC 2016: Doctoral Consortium Papers at PoEM 2016 / [ed] Kurt Sandkuhl, Eva Söderström, Aachen: Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen , 2016, Vol. 1765, p. 32-39Conference paper (Refereed)
    Abstract [en]

    This paper presents an idea for doctoral thesis in the area of Enterprise Architecture Management (EAM). The aim of the thesis is to come up with an integrated way to deal with enterprise-IT and product-IT within EAM practice and investigate the role of participative Enterprise Modeling (EM) in this context. 

  • 21.
    Kaidalova, Julia
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Seigerroth, Ulf
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Contemporary demands on business and IT alignment – How can enterprise modeling help?2016In: Strategic IT governance and alignment in business settings / [ed] Steven De Haes and Wim Van Grembergen, IGI Global, 2016, 1, p. 132-175Chapter in book (Refereed)
    Abstract [en]

    The call for business and IT alignment (BITA) is an everlasting and increasing concern for today’s enterprises. BITA is no longer just a technical or local concern. Instead we need to embrace various dimensions in the concept of BITA, for instance strategic, structural, social and cultural. In addition to this, the development of concepts like digital innovation (DI), internet of things (IoT), cyber physical systems (CPS) has further challenged the success of BITA. As one approach to deal with the multi-dimensional BITA problem and to move the BITA positions forward, enterprise modeling (EM) has been acknowledged as a helpful practice. Particularly, EM provides the opportunity to facilitate the creation of integrated models that capture and represent different focal areas of an enterprise, and allows representing the numerous points of view of the key stakeholders. In order to consider the points of view of different stakeholders and create share understanding between them the participative character of EM sessions can play an important role. This chapter presents various challenges that EM practitioners face during participative EM sessions, and a number of recommendations that can help to overcome these challenges.

  • 22.
    Kirikova, Marite
    et al.
    Department of Artificial Intelligence and Systems Engineering, Riga Technical University, Riga, Latvia.
    Matulevicius, Raimundas
    Institute of Computer Science, University of Tartu, Tartu, Estonia.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Chair Business Information Systems, University of Rostock, Rostock, Germany.
    Application of the Enterprise Model Frame for Security Requirements and Control Identification2016In: Databases and information systems IX / [ed] Arnicans, G., Arnicane, V., Borzovs, J. Niedrite, L., Amsterdam: IOS Press, 2016, Vol. 291, p. 129-142Conference paper (Refereed)
    Abstract [en]

    It is generally accepted that security requirements have to be identified as early as possible to avoid later rework in the systems development process. However, in practice quite often security aspects are considered either at the later stages of development cycles (increments in agile projects) or addressed only when problems arise. One of the reasons for difficulties of early detection of security requirements is the complexity of security requirements identification. In this paper we discuss an extension of the method for security requirements elicitation from business processes (SREBP). The extension includes the application of the enterprise model frame to provide an enterprise architecture context for analyzed business process models. The enterprise model frame covers practically all concepts of the information security related definitions; the use of the frame with the SREBP method complies with the common enterprise modeling and enterprise architecture approaches; and it use helps to consider security requirements and control at the business, application, and technology levels simultaneously.

  • 23.
    Kirikova, Marite
    et al.
    Riga Technical University, Latvia.
    Matulevičius, Raimundas
    University of Tartu, Estonia.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    The Enterprise Model Frame for Supporting Security Requirement Elicitation from Business Processes2016In: 12th International Baltic Conference, DB&IS 2016, July 4-6, 2016. / [ed] Guntis Arnicans, Vineta Arnicane, Juris Borzovs, Laila Niedrite, Springer, 2016, Vol. 615, p. 229-241Conference paper (Refereed)
    Abstract [en]

    It is generally accepted that security requirements have to be elicited as early as possible to avoid later rework in the systems development process. One of the reasons for difficulties of early detection of security requirements is the complexity of security requirements identification. In this paper we propose an extension of the method for security requirements elicitation from business processes (SREBP). The extension includes the application of the enterprise model frame to capture enterprise views and relationships of the analysed system assets. Although the proposal was used in some practical settings, the main goal of this work is conceptual discussion of the proposal. Our study shows that (i) the enterprise model frame covers practically all concepts of the information security related definitions, and that (ii) the use of the frame with the SREBP method complies with the common enterprise modeling and enterprise architecture approaches.

  • 24.
    Koç, Hasan
    et al.
    University of Rostock, Germany.
    Kuhr, Jan-Christian
    SIV Software-Architektur & Technologie GmbH, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Timm, Felix
    University of Rostock, Germany.
    Capability-Driven Development: A Novel Approach to Design Enterprise Capabilities2016In: Emerging Trends in the Evolution of Service-Oriented and Enterprise Architectures / [ed] Eman El-Sheikh, Alfred Zimmermann, Lakhmi C. Jain, Springer, 2016, Vol. 111, p. 151-177Chapter in book (Refereed)
    Abstract [en]

    Technological advances, changes in regulations and increasing globalization of the economy demand high adaptability from enterprises in many areas. Enterprise Architecture Management provides organizations with an integrated view enabling such adaptability. In this respect, development and management of the capabilities receive attention, as the term is associated with flexibility, dynamics and variation. On the contrary, little effort has been put towards developing and modeling capabilities. This chapter focuses on the Capability-Driven Development (CDD) method, which is a novel approach for designing capabilities to tackle the challenges of rapidly changing enterprise environments by modeling the application context. The results presented in this chapter are (i) a description of the state of research in capability development methods, (ii) a component-wise structured capability modeling method based on business processes, goals and concepts of an enterprise, (iii) a demonstration of the method application in a use case from the utilities industry and (iv) observations made during the capability development and strategy use.

  • 25.
    Koç, Hasan
    et al.
    University of Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Development and Evaluation of a Component-based Context Modelling Method2016In: Modellierung 2016: Workshopband / [ed] Stefanie Betz, Ulrich Reimer, Gesellschaft für Informatik, 2016, Vol. 255, p. 23-32Conference paper (Refereed)
    Abstract [en]

    In very general terms, a method describes a systematic procedure for problem solving including the required aids and resources. This paper is a continuation of our earlier work that reported on the practices and experiences in the development of a component-based context modelling method in the area of information systems development. The contributions of the paper are (1) the detailed development process of the context modelling method, with a particular focus on artefact evaluation by means of the Framework for Evaluation in Design Science Research (FEDS) (2) additional experiences and lessons learned from the method engineering and application process.

  • 26.
    Koç, Hasan
    et al.
    University of Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Fellmann, Michael
    University of Rostock, Germany.
    Towards a Flexible Solution in Knowledge-Based Service Organizations: Capability as a Service2016In: Exploring Services Science / [ed] Borangiu, Theodor, Dragoicea, Monica, Nóvoa, Henriqueta, Springer Berlin/Heidelberg, 2016, Vol. 247, p. 100-111Conference paper (Refereed)
    Abstract [en]

    To improve their chances of survival, enterprises need to cope with the challenges caused by today’s dynamic markets, regulations, customer demands, novel technologies, etc. The shift towards a service-oriented economy as underlined by the concept of Service-Dominant (S-D) Logic is gaining traction within the Service Science community and industry. This shift towards service-dominated business models makes it even more important for enterprises to be agile to meet the rapidly changing customer demands. This demand for agility is reinforced in the context of knowledge-based service organizations (KBSOs), for which flexible service provision is a fundamental requirement. Against this background, we argue that the capability-driven design may provide the KBSOs the required degree of flexibility. Towards this goal, we present an approach for the capability-driven design of enterprises. More precisely, our contributions are (i) the introduction of a capability-based paradigm that contributes to the design of flexible services in KBSOs, (ii) an architecture of our service design and deployment environment and (iii) a demonstration of using our approach based on a real-world use case from an organization in the utilities industry. Our results and insights are based on our work in the EU-FP7 project “Capability as a Service in Digital Enterprises” (CaaS).

  • 27.
    Koç, Hasan
    et al.
    University of Rostock, Germany.
    Timm, Felix
    University of Rostock, Germany.
    España, Sergio
    Utrecht University, Netherlands.
    González, Tania
    Everis.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    A Method for Context Modelling in Capability Management2016In: ECIS Proceedings, Research Papers, Association for Information Systems, 2016Conference paper (Refereed)
    Abstract [en]

    Enterprises exist in the context of their dynamically changing environment, which has a strong impact on service design and delivery. Within areas such as ambient intelligence or robotics, most relevant context has a physical nature. However, the context of an enterprise requires a different conceptual-ization of context awareness. Beyond physical context, enterprises need to be aware of their market, legal and social context. Moreover, in order to monitor context and configure services systematically, we need a context modelling method that is integrated within enterprise modelling and supports in-formation and communication technology (ICT) engineering and runtime. The work in this paper has been performed as part of developing Capability Driven Development (CDD), a new paradigm for ICT design where services are customised on the basis of the essential business capabilities and deliv-ery is adjusted according to the current context. The contributions of the paper are (i) the investiga-tion of industrial needs for context modelling, (ii) eCoM, a context modelling method for enterprise ICT addressing such needs, iii) application of the method in an industrial use case and (iv) the evolu-tion of eCoM based on various evaluation cycles by means of Framework for Evaluation in Design Science Research (FEDS).

  • 28.
    Lantow, Birger
    et al.
    University of Rostock, Germany.
    Jugel, Dierk
    University of Rostock and Reutlingen University, Germany.
    Wißotzki, Matthias
    University of Rostock, Germany.
    Lehmann, Benjamin
    University of Rostock, Germany.
    Zimmermann, Ole
    University of Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Towards a Classification Framework for Approaches to Enterprise Architecture Analysis2016In: The Practice of Enterprise Modeling, PoEM 2016, Springer, 2016, Vol. 267, p. 335-343Conference paper (Refereed)
    Abstract [en]

    Analysis is an important part of the Enterprise Architecture Management Process. Prior to decisions regarding transformation of the Enterprise Architecture, the current situation and the outcomes of alternative action plans have to be analysed. Many analysis approaches have been proposed by researchers and current Enterprise Architecture Management tools implement analysis functionalities. However, few work has been done structuring and classifying Enterprise Architecture Analysis approaches. This paper collects and extends existing classification schemes, presenting a framework for Enterprise Architecture Analysis classification. For evaluation, a collection of Enterprise Architecture Analysis approaches has been classified based on this framework. As a result, the description of these approaches has been assessed, a common set of important categories for Enterprise Architecture Analysis classification has been derived and suggestions for further development are drawn.

  • 29.
    Lantow, Birger
    et al.
    University of Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Fellmann, Michael
    University of Rostock, Germany.
    Visual Language and Ontology Based Analysis: Using OWL for Relation Discovery and Query in 4EM2016In: BIS 2016 International Workshops, Leipzig, July 6-8, 2016. / [ed] Witold Abramowicz, Rainer Alt, Bogdan Franczyk, Springer, 2016, Vol. 263, p. 23-35Conference paper (Refereed)
    Abstract [en]

    Usually, enterprise models consider different aspects and include different abstraction levels of enterprises. It is hence challenging to integrate these models and to maintain their consistency. In the light of these challenges, ontologies seem to be relevant to complement enterprise models since they are intended to support communication, computational inference, consistency checking, querying, and the organization of knowledge. In our contribution, we demonstrate that Enterprise modelling can benefit from these characteristics. In order to check feasibility and pertinence of ontology-based Enterprise Models, we selected the goal modelling part and its relations to actors and resources from the “For Enterprise Modelling” (4EM) method. In more detail, this paper provides (1) a formal OWL representation of the 4EM Goals meta-model; (2) a discussion of goal relations regarding transitivity and domain specific inference; (3) a formalization of the discussed inference rules; and (4) an analysis of an exemplary goals model instance. This paper extends earlier work on the topic by the introduction of inter-model relations, a discussion of formalization alternatives, and a comparison of query results with and without ontology-based reasoning.

  • 30.
    Parker, Sven
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Insert Title Here: Investigating the communication of placeholders and placeholder-characters in code examples in the programming trade.2017Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    To improve the communication between programming instructors and learners; placeholders, placeholder-characters and placeholder characteristics are investigated via two focus groups. One focus group with instructors, the other with learners. The combined and analyzed results show that placeholder-characters can confuse more than they help, more often for programming beginners. The semantics of a placeholder is the most crucial part of understanding its purpose and strengthens its characteristics. A placeholder using a different letter case from the surrounding code is easier to differentiate and find in a block of code. 

  • 31.
    Resmini, Andrea
    et al.
    Jönköping University, Jönköping International Business School, JIBS, Informatics.
    Tan, He
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    #ViewFromTheOffice - Reconceptualizing the Workplace as an Information-based Ecosystem2016In: Proceedings of the 6th STS Conference on Socio-technical Ecosystems, 2016Conference paper (Refereed)
  • 32.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany and St. Petersburg State University, Russia.
    Context-oriented knowledge management in production networks2016In: GSOM Emerging Markets Conference 2016, St. Petersburg University , 2016, p. 333-337Conference paper (Refereed)
    Abstract [en]

    Context-awareness has emerged from a special feature of niche applications to a characteristic of many knowledge management systems. The paper addresses the issue of how to tailor IT-solutions supporting knowledge management for the use in production networks. The proposed approach includes modeling of organizational and individual context in production networks to identify variation aspects and adaptation requirements. Furthermore, the use of knowledge portals is proposed as a means to implement the identified adaptations.

  • 33.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    On the Role of Enterprise Modelling in Engineering Cyber-Physical Systems2016In: Perspectives in Business Informatics Research / [ed] Václav Řepa, Tomáš Bruckner, Springer, 2016, Vol. 261, p. 50-64Conference paper (Refereed)
    Abstract [en]

    Cyber-Physical Systems (CPS) are considered as key elements of the next industrial revolution which have an enormous innovation potential. However, the existing gap between methods, modelling approaches and viewpoints of the disciplines involved in CPS development creates significant difficulties for creating viable CPS solutions. In this paper we investigate the potential of using enterprise modelling as an integrative method for large parts of CPS development projects. The work is based on a case study from transportation industry. The main contributions of this paper are (1) a case study from transportation illustrating CPS development with business and technical aspects, (2) a discussion of enterprise modelling potential in different development phases of CPS, and (3) a proposal for a CPS development process integrating technical and business aspects.

  • 34.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics. University of Rostock, Germany.
    On the role of enterprise modelling in engineering cyber-physical systems2016In: Lecture Notes in Business Information Processing: Volume 261, Springer, 2016, Vol. 261, p. 50-64Conference paper (Refereed)
    Abstract [en]

    Cyber-Physical Systems (CPS) are considered as key elements of the next industrial revolution which have an enormous innovation potential. However, the existing gap between methods, modelling approaches and viewpoints of the disciplines involved in CPS development creates significant difficulties for creating viable CPS solutions. In this paper we investigate the potential of using enterprise modelling as an integrative method for large parts of CPS development projects. The work is based on a case study from transportation industry. The main contributions of this paper are (1) a case study from transportation illustrating CPS development with business and technical aspects, (2) a discussion of enterprise modelling potential in different development phases of CPS, and (3) a proposal for a CPS development process integrating technical and business aspects.

  • 35.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Some Advice on Scientific Publishing from the Perspective of an Experienced Researcher2016In: PoEM Doctoral Consortium / [ed] Kurt Sandkuhl, Eva Söderström, CEUR-WS , 2016, Vol. 1765, p. 40-48Conference paper (Refereed)
    Abstract [en]

    There are many possibilities for PhD students to publish research work: workshops, conferences, book chapters, journals, open access publications, etc. In many countries it is mandatory to have at least some publications before being able to finish a PhD dissertation. In a special session for the doctoral consortium participants at PoEM 2016 in Skövde (Sweden), an experienced researcher offered his perspective on publishing opportunities. This paper summarizes the content of the special session. One intention of the paper is to encourage participants to consider extending their research publications towards journal publications.

  • 36.
    Sandkuhl, Kurt
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Fill, Hans-Georg
    University of Vienna, Austria.
    Hoppenbrouwers, Stijn
    HAN University of Applied Sciences, The Netherlands.
    Krogstie, John
    Norwegian University of Science and Technology, Norway.
    Leue, Andreas
    Sphenon GmbH, Germany.
    Matthes, Florian
    Technical University of Munich, Germany.
    Opdahl, Andreas L.
    University of Bergen, Norway.
    Schwabe, Gerhard
    University of Zurich, Switzerland.
    Uludag, Ömer
    Technical University of Munich, Germany.
    Winter, Robert
    University of St. Gallen, Switzerland.
    Enterprise Modelling for the Masses - From Elitist Discipline to Common Practice2016In: The Practice of Enterprise Modeling / [ed] Jennifer Horkoff, Manfred A. Jeusfeld, Anne Persson, Springer, 2016, Vol. 267, p. 225-240Conference paper (Refereed)
    Abstract [en]

    Enterprise modelling (EM) as a discipline has been around for several decades with a huge body of knowledge on EM in academic literature. The benefits of modelling and its contributions to organizational tasks are largely undisputed. Thus, from an inside-out perspective, EM appears to be a mature and established discipline. However, for initiating serious innovations this view is not sufficient. This position paper takes an outside-in perspective on enterprise modelling and argues that EM is far away from reaching its maximum potential. EM is typically done by a limited number of people in organizations inclined to methods and modelling. What is captured in models is only a fragment of what ought to be captured. Many people actually develop some kind of model in their local practice without thinking about it consciously. Exploiting the potential of this “grass roots modelling” could lead to groundbreaking innovations in EM. The aim is to investigate integration of the established, often systematic and formalized practices of modelling in enterprises with local practices of creating, using and communicating model-like artifacts or objects of relevance for the overall organization.

  • 37.
    Sandkuhl, Kurt
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany and ITMO University, Russia.
    Smirnov, Alexander V.
    SPIIRAS and ITMO University, Russia.
    Ponomarev, Andrew
    SPIIRAS, Russia.
    Crowdsourcing in Business Process Outsourcing: An Exploratory Study on Factors Influencing Decision Making2016In: Perspectives in Business Informatics Research / [ed] Václav Řepa, Tomáš Bruckner, Springer, 2016, Vol. 261, p. 33-49Conference paper (Refereed)
    Abstract [en]

    Cloud computing architectures and outsourcing of business processes into the cloud are potential candidates to increase flexibility on the enterprise side when it comes to service delivery. In this paper, we focus on a specific aspect of cloud computing and outsourcing: The use of concepts from crowdsourcing in business process outsourcing (BPO). More concrete, the question addressed in this paper is, whether crowdsourcing is a feasible approach for supporting BPO. Based on a literature study in the areas of BPO, cloud computing and crowdsourcing, this paper identifies potential factors relevant for decision making in favour or against using crowdsourcing in BPO scenarios. The factors identified are investigated in a case study from BPO, which confirms many of the factors and gives reason to believe that the work contributes to a better understanding of outsourcing decisions in BPO and the relevant factors. However, just one case study will not give a conclusive picture whether the identified factors can be assumed to be relevant for the majority of BPO cases.

  • 38.
    Sandkuhl, Kurt
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Söderström, EvaUniversity of Skövde, Sweden.
    PoEM Doctoral Consortium: Proceedings of the Doctoral Consortium at the 9th IFIP WG 8.1 Working Conference on The Practice of Enterprise Modeling (PoEM-DC 2016), Skövde, November 8th, 2016.2016Conference proceedings (editor) (Refereed)
  • 39.
    Stamer, Dirk
    et al.
    Rostock University, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Rostock University, Germany.
    Zeiner, Veronika
    Rostock University, Germany.
    Information Demand Pattern for Teams2016In: Complex Systems Informatics and Modeling Quarterly, ISSN 2255-9922, Vol. 6, p. 54-72Article in journal (Refereed)
    Abstract [en]

    Modern organizations face the challenge of having to manage an increasing amount of information. The resulting information overload leads more and more to problems in decision making with potentially negative economic consequences. Decision-makers and knowledge intensive workers are especially affected. To address this problem, information demand patterns were proposed which capture organizational knowledge about the information demand of single roles. This work extends the concept of information demand patterns from single roles to teams. Using the knowledge intensive field of project management, the paper shows how to apply the concept of information demand patterns for a whole team. The contributions of this work are (1) the methodical approach to develop information demand patterns for teams, (2) an actual information demand pattern for a steering committee in the context of project management, (3) reflections on the differences between role patterns and team patterns.

  • 40.
    Stamer, Dirk
    et al.
    University of Rostock, Germany.
    Zimmermann, Ole
    University of Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    What Is a Framework?: - A Systematic Literature Review in the Field of Information Systems2016In: Perspectives in Business Informatics Research / [ed] Václav Řepa, Tomáš Bruckner, Springer, 2016, Vol. 261, p. 145-158Conference paper (Refereed)
    Abstract [en]

    The term ‘framework’ appears very often in scientific publications like journals and conferences. However, there is no universal definition of a framework. It seems that the term is not used in a consistent way by authors publishing on frameworks since they have very little in common compared to each other. The goal of this work is to analyse and show how frameworks in the fields of information systems are handled in the scientific literature over the past 10 years as well as giving a universal definition of the term ‘framework’ based on the relevant studies. The systematic literature review will serve to identify those studies and to categorize the identified frameworks. The contributions of this work are (1) a general overview about frameworks in the past 10 years, (2) a proposed categorization of frameworks and (3) a general definition of the term ‘framework’.

  • 41.
    Tan, He
    et al.
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Ismail, Muhammad
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics.
    Johansson, Mats
    Saab Avionics Systems, Jönköping.
    Development and evaluation of a software requirements ontology2016In: SKY 2016 - 7th International Workshop on Software Knowledge, Proceedings - In conjuction with IC3K 2016 / [ed] Iaakov Exman, Juan Llorens and Anabel Fraga, SciTePress, 2016, p. 11-18Conference paper (Refereed)
    Abstract [en]

    This paper presents an ontology which has been developed to represent the requirements of a software component pertaining to an embedded system in the avionics industry. The ontology was built based on the software requirements documents and was used to support advanced methods in the subsequent stages of the software development process. In this paper it is described theprocess that was used to build the ontology. Two pertinent quality measures that were applied to the ontology, i.e. usability and applicability, are also described, as well as the methods used to evaluate the quality measures and the result of these evaluations.

  • 42.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Jugel, Dierk
    Reutlingen University, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Schmidt, Rainer
    Munich University, Germany.
    Bogner, Justus
    Reutlingen University, Germany.
    Kehrer, Stefan
    Reutlingen University, Germany.
    Multi-Perspective Decision Management for Digitization Architecture and Governance2016In: 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW), IEEE, 2016, p. 1-9Conference paper (Refereed)
    Abstract [en]

    The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility Systems, Analytics for Big Data, and Cloud environments are emerging to support smart connected i.e. digital products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems provide the logical foundation for selfoptimizing and resilient run-time environments for intelligent business services and related distributed information systems with service-oriented digitization architectures. We are investigating mechanisms for flexible adaptation and evolution of information systems with digital architecture in the context of the ongoing digital transformation. Our aim is to support flexibility and agile transformation for both business and related information systems through adaptation and dynamical evolution of their digital architectures. The present research paper investigates mechanisms of decision analytics for digitization architectures, putting a spotlight to Internet of Things architectures, by extending original enterprise architecture reference models with digitization architectures and their multiperspective architectural decision management.

  • 43.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Jugel, Dierk
    Reutlingen University and University of Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Schmidt, Rainer
    Munich University, Germany.
    Schweda, Christian M.
    Reutlingen University, Germany.
    Möhring, Michael
    Munich University, Germany.
    Architectural Decision Management for Digital Transformation of Products and Services2016In: Complex Systems Informatics and Modeling Quarterly, ISSN 2255-9922, Vol. 6, p. 31-53Article in journal (Refereed)
    Abstract [en]

    The digitization of our society changes the way we live, work, learn, communicate, and collaborate. The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility systems, Analytics for Big Data, and Cloud services environments are emerging to support smart connected products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems provide the logical foundation for self-optimizing and resilient run-time environments for intelligent business services and service-oriented enterprise architectures. Our aim is to support flexibility and agile transformations for both business domains and related information technology. The present research paper investigates mechanisms for decision analytics in the context of multi-perspective explorations of enterprise services and their digital enterprise architectures by extending original architecture reference models with state of art elements for agile architectural engineering for the digitization and collaborative architectural decision support. The paper’s context focuses on digital transformations of business and IT and integrates fundamental mappings between adaptable digital enterprise architectures and service-oriented information systems. We are putting a spotlight on the example domain – Internet of Things.

  • 44.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Schmidt, Rainer
    Munich University of Applied Sciences, Germany.
    Jugel, Dierk
    Reutlingen University and University of Rostock, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    Schweda, Christian
    Reutlingen University, Germany.
    Möhring, Michael
    Munich University of Applied Sciences, Germany.
    Bogner, Justus
    Reutlingen University and Hewlett Packard Enterprise, Germany.
    Decision Case Management for Digital Enterprise Architectures with the Internet of Things2016In: Intelligent Decision Technologies 2016: Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) – Part II / [ed] Ireneusz Czarnowski, Alfonso Mateos Caballero, Robert J. Howlett, Lakhmi C. Jain, Springer, 2016, p. 27-37Conference paper (Refereed)
    Abstract [en]

    The Internet of Things (IoT), Enterprise Social Networks, Adaptive Case Management, Mobility systems, Analytics for Big Data, and Cloud services environments are emerging to support smart connected products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems with service-oriented enterprise architectures provide the foundation for self-optimizing and resilient run-time environments for intelligent business services and related distributed information systems. We are investigating mechanisms for flexible adaptation and evolution for the next digital enterprise architecture systems in the context of the digital transformation. Our aim is to support flexibility and agile transformation for both business and related enterprise systems through adaptation and dynamical evolution of digital enterprise architectures. The present research paper investigates mechanisms for decision case management in the context of multi-perspective explorations of enterprise services and Internet of Things architectures by extending original enterprise architecture reference models with state of art elements for architectural engineering for the digitization and architectural decision support.

  • 45.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Schmidt, Rainer
    Munich University, Germany.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. University of Rostock, Germany.
    El-Sheikh, Eman
    University of West Florida, USA.
    Jugel, Dierk
    Reutlingen University and University of Rostock, Germany.
    Schweda, Christian M.
    Reutlingen University, Germany.
    Möhring, Michael
    Munich University, Germany.
    Wißotzki, Matthias
    University of Rostock, Germany.
    Lantow, Birger
    University of Rostock, Germany.
    Leveraging Analytics for Digital Transformation of Enterprise Services and Architectures2016In: Emerging Trends in the Evolution of Service-Oriented and Enterprise Architectures, Springer, 2016, Vol. 111, p. 91-112Chapter in book (Refereed)
    Abstract [en]

    The digital transformation of our society changes the way we live, work, learn, communicate, and collaborate. The digitization of software-intensive products and services is enabled basically by four megatrends: Cloud Computing, Big Data Mobile Systems, and Social Technologies. This disruptive change interacts with all information processes and systems that are important business enablers for the current digital transformation. The Internet of Things, Social Collaboration Systems for Adaptive Case Management, Mobility Systems and Services for Big Data in Cloud Services environments are emerging to support intelligent user-centered and social community systems. Modern enterprises see themselves confronted with an ever growing design space to engineer business models of the future as well as their IT support, respectively. The decision analytics in this field becomes increasingly complex and decision support, particularly for the development and evolution of sustainable enterprise architectures (EA), is duly needed. With the advent of intelligent user-centered and social community systems, the challenging decision processes can be supported in more flexible and intuitive ways. Tapping into these systems and techniques, the engineers and managers of the enterprise architecture become part of a viable enterprise, i.e. a resilient and continuously evolving system that develops innovative business models.

1 - 45 of 45
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf