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Prof. Dr. Antonia Albani

Wissenschaftliche Mitarbeiterin
Büro 52-6052
Müller-Friedberg-Strasse 6/8
9000 St. Gallen
+41 71 224 33 20


  • Service Innovation und Engineering
  • Enterprise Engineering
  • Forschungsgebiete

  • Service Innovation and Engineering
  • Publikationen

    Statt in Zürich oder München im Unterengadin arbeiten – das Projekt «mia Engiadina» hat die dafür nötigen Grundlagen geschaffen. Eine Chance für die Randregion, die Wertschöpfung zu vergrössern.

    Smart meters are the backbone of modern electricity metering and an important enabler of reaching energy efficiency targets. The implementation of new metering infrastructure is, however, making little progress and is often focused on technical aspects only. Additionally, existing smart metering information systems do not yet exploit the possibilities to optimally support customers in their electricity savings activities. Knowing customer preferences is absolutely essential for the effectiveness of energy efficiency measures and, as a consequence, for realizing the economic value of smart metering technology. The presented research contributes to the field by identifying customer value perceptions concerning new smart meter services in the retail electricity market in Switzerland. Founded on a choice-based conjoint analysis with a data sample of more than 1500 respondents from three Swiss regions, five customer segments with different preferences are identified. With the exception of the comfort-oriented customer segment, the other four segments are comprised of customers who are willing (1) to pay for smart meter services and (2) to change their behavior to save electricity. Based on the identified customer value perceptions, implications for the design of smart meter-based energy efficiency services are elaborated.

    For the design and engineering of enterprises, several methodologies are available that successfully address certain aspects of design problems in enterprises or certain domains. In real-world design problems it is essential to choose the right means to reach the desired ends. Often it is not apparent which methodology is best chosen in order to reach desired ends. Additionally, real-world design problems often require several such methodologies to be combined because multiple aspects have to be covered and/or the problem combines characteristics of several domains. In order to allow for a systematically understanding and comparison of methodologies and for a facilitation of their composition (if necessary), we propose a general conceptual framework. The framework allows analysing the essential concepts and constituent parts of enterprise engineering methodologies. The resulting analysis supports decisions making concerning which methodology or which combinations of methodologies to apply to the given design problem. To demonstrate its usefulness, we first analyse the concepts and building blocks of two design and engineering methodologies on that basis. Second, we show how these two methodologies, which are based on very similar concepts -- as resulted from the analysis by applying the conceptual framework -- can be combined in order to derive at a complete solution for a given design problem.

    Driven by the strong demand for reusable yet situational business solutions on the one side and thenecessity to provide a stable, reliant foundation that allows to adapt the supporting informationsystems in a systematic way on the other side, the need for a closer link between relevant theoriesand successful practices for the design of enterprise information systems becomes evident. Theaim of the reported research is to provide such a link by means of prescriptive guidelines for theclass of problems concerning the reverse engineering of organisations. The reverse engineering oforganisations aims at deriving at the ontological models of organisations, which build the basis forthe design and engineering of information systems supporting the business needs. An ontologicalmodel as used in the presented research is defined as the highest-level constructional model of anorganisation, which is fully independent of its implementation. The prescriptive guidelines forreverse engineering presented in this paper are derived from the ?-theory (the Greek letter ? ispronounced PSI, which stands for Performance in Social Interaction), the theory that underliesthe notion of Enterprise Ontology. This theory regards organisations as social systems and sees ITsystems as support for social actors in performing coordination-related activities and productionrelatedactivities. In this paper we focus specifically on recommendations based on the ?-theoryconcerning the coupling of two types of enterprise models in order to derive at ontological modelsof organisations. The first type of models are derived by applying the Design and EngineeringMethodology for Organisations (DEMO) and the second type of models are derived by applying theArchitecture of Integrated Information Systems (ARIS).

    The electricity domain is currently facing fundamental change on both, the production and the distribution side. In order to compete on this fast changing market, there is a high need for differentiation possibilities of the electricity suppliers as e.g., through new and innovative services. To set the right incentives to customers and offer them the right value propositions, beside a sound knowledge of the customer preferences also the involvement of the customers in the new service development process by means of co-creation is of high importance. This paper contributes to the new service development process in the electricity domain through the identification of customer segments and customer preference relations, represented by respective utility functions. The main findings presented are the results of a choice based conjoint analysis with a total of 107 respondents executed in order to gather the said customer's preferences regarding possible new future services. The customer segmentation was carried out with latent class. The analysis is embedded in a research framework that uses a multi-method approach with a combination of quantitative and qualitative methods, integrating the customers by means of co-creation.

    Due to the integration of renewable energies, the electricity grid is confronted with new peak situations that are caused by the new power plants. Beside these threats new metering technologies combined with information systems enable new pricing options that were not affordable for retail customers before. This paper contributes to the field by combining demand charging incentives with a feed in tariff for photovoltaics. Demand charges are a broadly used pricing concept for large scale and industrial customers but are not used for retail customers yet. In a simulation we first of all show the impact of solar plants on the grid. Secondly, we simulate the shift in electricity demand caused by a demand charge for retail customers. Our simulation shows that the solar panels reduce the purchased quantity of electricity while leaving the maximum peak unchanged. This leads to reduced revenues for grid operators without changing the costs. This negative impact can be improved by the demand charge for retail customers.

    The electricity industry is currently confronted with regulatory and technological change that leads to fundamental transformation of the value propositions and innovation processes of enterprises. New services are one possibility to compete in the new market environment. This paper proposes a service development process for the electricity industry that builds up on existing approaches. The process model was developed by means of an embedded research framework that combines qualitative and quantitative methods in a multi method approach. A first evaluation of the process was conducted with a partner of the electricity industry in Switzerland. Potential service areas resulting from literature research, expert interviews (N=19), and an Open Space event with lead customers (N=33) build the basis for a choice based conjoint study. Potential services could already be identified in a pretest study. The paper shows that co-creation with customers and experts, enables the service innovation process.

    In recent years, the WSDL and UDDI standards arose as ad-hoc standards for the definition of service interfaces and serviceregistries. However, even together these standards do not provide enough basis for a service consumer to get a full understandingof the behavior of a service. In practice this often leads to a serious mismatch between the provider's intent and the consumer'sexpectations concerning the functionality of the corresponding service. Though additional standards have been proposed, a holisticview of what aspects of a service need to be specified is still lacking. This paper proposes a service specification framework, whichis based on a founded theory, the PSI-theory. The PSI-theory originates from the scientific fields of Language Philosophy and SystemicOntology. According to this theory, the operation of organizations is all about communication between and production by social actors.Based on the PSI-theory, a definition of the notion of ‘service' is given and a specification framework is derived. This framework canbe applied both for specifying human services, i.e. services executed by human beings, and IT services, i.e. services executed by ITsystems.



    1996 - 2000
    Doktorat Informatik (Abschluss: Dr. sc. techn.),
    Gruppe für Globale Informationssysteme, Institut für Informationssysteme,
    Eidgenössische Technische Hochschule (ETH) Zürich, Schweiz

    1989 - 1995
    Informatik Studium (Abschluss: Dipl. Informatik-Ing. ETH),
    Eidgenössische Technische Hochschule (ETH) Zürich, Schweiz


    • Programmieren für Anfänger: Einführung in objektorientiertes Programmieren mit Java
    • Business Design - Moderne Methoden für das Design der Unternehmen von morgen 
    • mia Engiadina - Co-Working und Co-Creation
    • MBI Mindset der Zukunft


    • miaEngiadina - Innovationszentrum


    Tätigkeiten an Universitäten

    2016 - heute

    Administrative Leiterin M.A. HSG in Business Innovation 

    2012 - heute

    Projektleiterin, Lehrstuhl Prof. Winter, Institut für Wirtschaftsinformatik,
    Universität St. Gallen, Schweiz 


    2010 - 2012

    Projektleiterin, gefördert durch den Schweizerischen Nationalfonds (SNF),
    Lehrstuhl Prof. Winter, Institut für Wirtschaftsinformatik,
    Universität St. Gallen, Schweiz

    2005 - 2009

    Gruppe für Information Systems Design, Institut für Software Engineering,
    Technische Universität Delft, Die Niederlande

    2003 - 2010

    Leiterin der Arbeitsgruppe Interorganisationssysteme,
    Lehrstuhl für Wirtschaftsinformatik und Systems Engineering, Fakultät für Wirtschaftswissenschaften,
    Universität Augsburg, Deutschland

    1996 - 2000

    Wissenschaftliche Assistentin,
    Gruppe für Globale Informationssysteme, Institut für Informationssysteme,
    Eidgenössische Technische Hochschule Zürich, Schweiz

    Tätigkeiten in der Wirtschaft

    2000 - 2002 Geschäftsführerin, VeBS GmbH, Augsburg, Deutschland
    2000 - 2002 Chief Technology Officer, VeBS AG, Zug, Schweiz
    2000 - 2000 Senior Consultant, Cambridge Technology Partners, München, Deutschland