IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v4y2012i1p3-14.html
   My bibliography  Save this article

Methods to Manage Information Sources for Software Product Managers in the Energy Market

Author

Abstract

The German energy market is facing several challenges due to changes in regulation, technical advancements as well as increasing energy costs and climate achievements like CO 2 reduction. This results in changing requirements for companies in the energy market and thus business information systems, which support their core tasks and processes. Software product managers in energy and software developing companies in charge of driving the functional development of information systems have to deal with these challenges and need to develop new information systems or enhance existing ones. Conceptual models proved helpful to design and implement information systems within several industries. However, identification and management of models as well as impact analysis of model changes results difficult. This contribution describes methods to construct, use and maintain a domain specific reference model catalogue to support requirements analysis for software product manager in the German electricity and gas market. Copyright Gabler Verlag 2012

Suggested Citation

  • José González Vázquez & Jürgen Sauer & Hans-Jürgen Appelrath, 2012. "Methods to Manage Information Sources for Software Product Managers in the Energy Market," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(1), pages 3-14, February.
  • Handle: RePEc:spr:binfse:v:4:y:2012:i:1:p:3-14
    DOI: 10.1007/s12599-011-0200-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s12599-011-0200-6
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s12599-011-0200-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Oliver Thomas & Michael Fellmann M.A., 2009. "Semantic Process Modeling – Design and Implementation of an Ontology-based Representation of Business Processes," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(6), pages 438-451, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maroufkhani, Parisa & Desouza, Kevin C. & Perrons, Robert K. & Iranmanesh, Mohammad, 2022. "Digital transformation in the resource and energy sectors: A systematic review," Resources Policy, Elsevier, vol. 76(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Frederik Gailly & Nadejda Alkhaldi & Sven Casteleyn & Wouter Verbeke, 2017. "Recommendation-Based Conceptual Modeling and Ontology Evolution Framework (CMOE+)," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(4), pages 235-250, August.
    2. A. Ryzhko L. & А. Рыжко Л., 2018. "Каузальная классификация бизнес-процессов предприятия // Causal Сlassification of Enterprise Business," Управленческие науки // Management Science, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 8(1), pages 90-99.
    3. Michael Fellmann & Dirk Metzger & Sven Jannaber & Novica Zarvic & Oliver Thomas, 2018. "Process Modeling Recommender Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(1), pages 21-38, February.
    4. Jörg Becker & Patrick Delfmann & Hanns-Alexander Dietrich & Matthias Steinhorst & Mathias Eggert, 2016. "Business process compliance checking – applying and evaluating a generic pattern matching approach for conceptual models in the financial sector," Information Systems Frontiers, Springer, vol. 18(2), pages 359-405, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:binfse:v:4:y:2012:i:1:p:3-14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.