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  • 1.
    Bylund, Markus
    et al.
    Swedish Institute of Computer Science, , .
    Svee, Eric-Oluf
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Sanches, Pedro
    Swedish Institute of Computer Sciences, , .
    Collecting and Associating Data2010Patent (Övrig (populärvetenskap, debatt, mm))
    Abstract [en]

    The present invention relates to a method and system for collecting human migration data into a database, comprising the steps of receiving information regarding the spatial movement, here called a path, or stationary position, here called a station, of a mobile device in a communication network, from the same communication network, and associating information or a sequence of information that represents a path or a station, here called a signal, with previously collected specific information regarding an individual associated with the mobile device. The inventive method specifically comprises the steps of de-identifying the information by deleting all information that can uniquely identify the mobile device or the individual from the signal and from the specific information, and storing the signal together with the specific information in the database, the signal and personal information thus being associated with each other and stored without any information that can uniquely identify the mobile device or the individual.

  • 2.
    Giannoulis, Constantinos
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Svee, Eric-Oluf
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Capturing Consumer Preference in System Requirements Through Business Strategy2013Ingår i: International Journal of Information System Modeling and Design, ISSN 1947-8186, Vol. 4, nr 4, 1-26 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    A core concern within Business-IT alignment is coordinating strategic initiatives and plans with Information Systems (IS). Substantial work has been done on linking strategy to requirements for IS development, but it has usually been focused on the core value exchanges offered by the business, and thus overlooking other aspects that influence the implementation of strategy. One of these, consumer preferences, has been proven to influence the successful provisioning of the business's customer value proposition, and this study aims to establish a conceptual link between both strategy and consumer preferences to system requirements. The core contention is that reflecting consumer preferences through business strategy in system requirements allows for the development of aligned systems, and therefore systems that better support a consumer orientation. The contribution of this paper is an approach to establish such alignment, with this being accomplished through the proposal of a consumer preference meta-model mapped to a business strategy meta-model further linked to a system requirements technique. The validity of this proposal is demonstrated through a case study carried out within an institution of higher education in Sweden.

  • 3.
    Nguyen, Vu
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Svee, Eric-Oluf
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Semi-Automated Method for Capturing Consumer Preferences for System Requirements2016Ingår i: 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, 117-132 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    There is a pressing need in the modern business environment for business-supporting software products to address countless consumers’ desires, where customer orientation is a key success factor. Consumer preference is thus an essential input for the requirements elicitation process of public-facing enterprise systems. Previous studies in this area have proposed a process to capture and translate consumer preferences into system-related goals using the Consumer Preference Meta-Model (CPMM) used to integrate consumer values from the marketing domain into objectives of information systems. However, there exists a knowledge gap between how this process can be automated at a large scale, when massive data sources, such as social media data, are used as inputs for the process. To address this problem, a case in which social media data related to four major US airlines is collected from Twitter, is analyzed by a set of text mining techniques and hosted in a consumer preference model, and is further translated to goal models in the ADOxx modelling platform. The analysis of experimental results revealed that the collection, recognition, model creation, and mapping of consumer preferences can be fully or partly automated. The result of this study is a semi-automated method for capturing and filtering consumer preferences as goals for system development, a method which significantly increases the efficiency of large-scale consumer data processing.

  • 4. Sanches, Pedro
    et al.
    Svee, Eric-Oluf
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bylund, Markus
    Hirsch, Benjamin
    Boman, Magnus
    Knowing your population: privacy-sensitive mining of massive data2013Ingår i: Network and Communication Technologies, ISSN 1927-064X, Vol. 2, nr 1, 34-51 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Location and mobility patterns of individuals are important to environmental planning, societal resilience, public health, and a host of commercial applications. Mining telecommunication traffic and transactions data for such purposes is controversial, in particular raising issues of privacy. However, our hypothesis is that privacy-sensitive uses are possible and often beneficial enough to warrant considerable research and development efforts. Our work contends that peoples’ behavior can yield patterns of both significant commercial, and research, value. For such purposes, methods and algorithms for mining telecommunication data to extract commonly used routes and locations, articulated through time-geographical constructs, are described in a case study within the area of transportation planning and analysis. From the outset, these were designed to balance the privacy of subscribers and the added value of mobility patterns derived from their mobile communication traffic and transactions data. Our work directly contrasts the current, commonly held notion that value can only be added to services by directly monitoring the behavior of individuals, such as in current attempts at location-based services. We position our work within relevant legal frameworks for privacy and data protection, and show that our methods comply with such requirements and also follow best-practices.

  • 5.
    Svee, Eric Oluf
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Utilizing Consumer Preferences to Promote Values Awareness in Information Systems Development2016Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [en]

    The challenges of developing the information systems (IS) that support modern enterprises are becoming less about engineering and more about people. Many of the technical issues of the past, such as hardware size and power, connectivity, and robust software, are engineering problems that have largely been solved. In the next stage of computing, the human factor will be far more important than it has been in the past: the colors of an interface or the shape of an icon are the engineering problems of the past, and the availability and usefulness of such basic solutions is rapidly coming to a close. A new paradigm is needed that provides a roadmap of higher level conceptions and values, one about humane computing.

    A part of this older, mechanistic approach are quantitative, economic values whose impact on IS are readily visible and acknowledged within software engineering. However, qualitative values, and in particular consumer preferences, have been researched to a lesser degree, and there has been very little direct application.  To create the next-generation information systems, requirements engineers and systems developers need new methods to capture the real preferences of consumers, conceptualize these abstract concepts, and then relate such preferences to concrete requirements for information systems.

    To address this problem, this thesis establishes a conceptual link between the preferences of consumers and system requirements by accommodating the variations between them and expressing them via a conceptual model. Modeling such preferences and values so that they can be used as requirements for IS development is the primary contribution of this work. This is accomplished via a design science research paradigm to support the creation of the works’ primary artifact—the Consumer Preference-aware Meta-Model (CPMM).

    CPMM is intended to improve the alignment between business and information systems by capturing and concretizing the real preferences of consumers and then expressing such preferences via the requirements engineering process, with the eventual output being information systems. CPMM’s development relies on theoretical research contributions within three areas in information systems—Business Strategy, Enterprise Architecture, and Requirements Engineering—whose relationships to consumer values have been under-researched and under-applied.

    The case studies included in this thesis each demonstrate the significance of consumer preferences to each of these three areas.  In the first, a set of logical mappings between CPMM and a common approach to business strategy (strategy maps/balanced scorecards) is produced. In the second, CPMM provides the conceptual undergirding to process a massive amount of unstructured consumer-generated text to generate system requirements for the airline industry. In the concluding case, an investigation of foreign and domestic students at Swedish universities is structured through CPMM, one that first discovers the requirements for a consumer preference-based online education and then produces feature models for such a software product line-based system. The significance of CPMM as a lens for discovering new concepts and highlighting important information within consumer preference data is clearly seen, and the usefulness of the meta-model is demonstrated by its broad and beneficial applicability within information systems practice and research.

  • 6.
    Svee, Eric-Oluf
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Explorations in Values Awareness: Elicitation of Consumer Preferences for Information Systems Development2014Licentiatavhandling, monografi (Övrigt vetenskapligt)
    Abstract [sv]

    I moderna företag har behovet av komplex mjukvara för att samordna verksamheten blivit en nödvändighet för att uppnå framgång. Då branscher snabbt omformas, organisationer globaliseras och konsumenter ges till synes oändliga valmöjligheter; krävs att mjukvaruingenjörer införlivar konsumentvärden - personliga bedömningar baserade på jämförande förmånliga upplevelser - i utformningen av dylik stödjande mjukvara.

    Traditionella sätt att tänka, primärt fokuserade på ekonomiska värden; hamnar lätt på efterkälken eftersom konsumenterna i högre utsträckning kräver alltmer kvalitativa upplevelser. Och medan det kvantitativa genomslaget av IT lätt kan observears och bekräftas med mjukvaruvaruteknik; är forskning kring kvalitativa värden, särskilt konsumentvärden, betydligt ovanligare. För att underlätta överensstämmelsen mellan företag och dess stödjande IT-infrastruktur, måste kravställande ingenjörer som arbetar under dessa förhållanden hitta sätt att fånga konsumenternas verkliga preferenser, och sedan relatera dessa till kraven för nästa generations programvara.

    För att lösa detta problem, fastställer denna avhandling ett begreppsmässigt samband mellan konsumentpreferenser och systemkrav genom att systematiskt tillmötesgå och jämka skillnader mellan dem. Detta åstadkoms genom att använda ett designvetenskapligt forskningsparadigm som också är avhandlingens primära artefakt; the Consumer Preference-aware Meta-Model (CPMM).

    CPMM är utformat för att förbättra anpassningen mellan affärsmässighet och IT genom att fånga upp konsumenternas verkliga preferenser och relatera dessa till kravhanteringsprocessen. CPMM bygger på forskningsinsatser inom tre informationssystemområden; affärsstrategi, verksamhetsarkitektur och kravhantering; vars relation till kundvärdering hittills är tämligen outforskad.

    Dessa tre områden stödjer både utformning och utveckling av CPMM och dess relevans för problemområdet. Fördelarna med CPMM exemplifieras slutligen i tre demonstrationer: genom logiska mappningar mellan CPMM och redan etablerade tillvägagångssätt för affärsstrategier (strategikartor/balanserade styrkort); genom tillämpning av CPMM för att generera krav på patientjournalsystem (PHR); samt en empirisk studie av utvecklingen av en konsumentpreferensbaserat system för online-utbildning riktat till både utländska och svenska studenter vid svenska lärosäten.

  • 7.
    Svee, Eric-Oluf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Giannoulis, Constantinos
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Modeling Business Strategy: a Consumer Value Perspective2011Ingår i: IFIP Working Conference, Practice of Enterprise Modeling, Oslo, Norway: Springer , 2011Konferensbidrag (Refereegranskat)
    Abstract [en]

    Business strategy lays out the plan of an enterprise to achieve its vision by providing value to its customers. Typically, business strategy focuses on economic value and its relevant exchanges with customers and does not directly address consumer values. However, consumer values drive customers’ choices and decisions to use a product or service, and therefore should have a direct impact on business strategy. This paper explores whether and how consumer values influence business strategy, and how they might be linked to IS solutions that support the implementation of such strategies. To address these questions, the study maps consumer values to a business strategy approach via a meta-model commonly used for such purposes, based on strategy maps and balanced scorecards (SMBSC). Additionally, the applicability of the mappings is illustrated via a case scenario where the mappings are applied and the business strategy conceptualization captures them. Finally, based on these mappings, high level guidelines for linking consumer values to requirements for the development of IS solutions through business strategy conceptualization are proposed.

  • 8.
    Svee, Eric-Oluf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Giannoulis, Constantinos
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Towards Consumer Preference-Aware Requirements2012Ingår i: Advanced Information Systems Engineering Workshops: CAiSE 2012 International Workshops, Proceedings / [ed] Marko Bajec, Johann Eder, Berlin/Heidelberg: Springer Berlin/Heidelberg, 2012, 531-542 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    From the business perspective, one of the core concerns within Business-IT alignment is coordinating strategic initiatives and plans with Information Systems (IS). However, while substantial work has been done on linking strategy to requirements for IS development, it has usually been focused on the core value exchanges offered by the business, overlooking other aspects influencing the implementation of strategy. One of these, consumer preferences, has been proven to influence the successful provisioning of the business’s customer value proposition, and this study aims to establish a conceptual link between them and system requirements. The core contention is that reflecting consumer preferences through business strategy in system requirements allows for the development of systems aligned to consumer preferences, and therefore systems that better support a consumer orientation, where the reasoning behind a particular solution stems from them. The contribution of this paper is the proposal of a consumer preference meta-model along with an illustration of its relationship to a requirements’ technique (i*) through the Strategy Maps business strategy formulation.

  • 9.
    Svee, Eric-Oluf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kvist, Maria
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Karolinska Institute, Sweden.
    Velupillai, Sumithra
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Capturing and Representing Values for Requirements of Personal Health Records2013Ingår i: PoEM Short Papers: Short Paper Proceedings of the 6th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM 2013) / [ed] Janis Grabis, Marite Kirikova, Jelena Zdravkovic, Janis Stirna, 2013, 166-175 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Patients’ access to their medical records in the form of Personal Health Records (PHRs) is a central part of the ongoing shift in health policy, where patient empowerment is in focus. A survey was conducted to gauge the stakeholder requirements of patients in regards to functionality requests in PHRs. Models from goal-oriented requirements engineering were created to express the values and preferences held by patients in regards to PHRs from this survey. The present study concludes that patient values can be extracted from survey data, allowing the incorporation of values in the common workflow of requirements engineering without extensive reworking.

  • 10.
    Svee, Eric-Oluf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Sanches, Pedro
    Swedish Institute of Computer Sciences, , .
    Markus, Bylund
    Swedish Institute of Computer Science, , .
    Time Geography Rediscovered: A Common Language for Location-Oriented Services2009Ingår i: LocWeb, ACM Press , 2009Konferensbidrag (Refereegranskat)
    Abstract [en]

    We propose that the concepts of Time Geography be evaluated as a framework for use within location-oriented services. Originally conceived as a system to describe patterns in human migration, Time Geography is ideally suited for providing the common language and concepts necessary for dialogue within this evolving area. Location-oriented services have been the focus of a great deal of attention, but with research occurring in many disparate disciplines, the lack of a common model that can conceptualize these ideas has not received appropriate attention. To demonstrate its applicability within location-oriented services, we present a research activity which makes explicit use of concepts from Time Geography, with the hope that it can be seen as a tractable and practical solution for several difficulties facing this fast growing area of interest.

  • 11.
    Svee, Eric-Oluf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Model-based Approach for Capturing Consumer Preferences from Crowdsources: The Case of Twitter2016Ingår i: IEEE RCIS 2016: IEEE 10th International Conference on Research Challenges in Information Science / [ed] Sergio España, Jolita Ralyté, Carine Souveyet, IEEE Computer Society, 2016, 65-76 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Consumer choices are enormously influential in the success of the companies and organizations behind the highly competitive global service and product offerings of today. Consumer choice relates to preference, i.e. a set of assumptions a person creates around a service or a product such as convenience, utility or aesthetics. Furthermore, consumer preferences allow ranking of different assumptions about products or services based on the expected or to-be-experienced satisfaction of consuming them. In our previous work, we proposed a conceptualization of consumer preferences—the Consumer Preference Meta-Model (CPMM)—to enable a classification and ranking of the preferences that would be the basis for deciding which of would be considered to be developed into supporting information systems/services. In this study we collect consumer preferences through crowdsourcing, and in particular Twitter, because of its increasing popularity as a source of up-to-date comments and information about current services and products. The tweets of four major American airlines were processed using different techniques from natural language processing (NLP) that enabled the classification of their objectives, content, and importance within CPMM. By next mapping the highest-ranked results from CPMM to goal models enabled a model-based linkage from a corpus of preferences contained within short texts to high-level requirements for system/services.

  • 12.
    Svee, Eric-Oluf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Case-based Development of Consumer Preferences Using Brand Personality and Values Co-creation2015Ingår i: The Practice of Enterprise Modeling / [ed] Jolita Ralyté, Sergio España, Óscar Pastor, Heidelberg: Springer , 2015, Vol. 235, 159-173 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Consumers have preferences whose determination is outside the realm of economic rules and values. To be successful in current market conditions, product and service companies need to capture such preferences to provide best-fit support by their Information Systems (IS), sometimes by developing entirely new features. In our previous work, we have conceptualized a metamodel for incorporating consumer preferences into the development of IS —Consumer Preference Meta-Model (CPMM). This artifact was developed with the ability to be expanded with new kinds of consumer preferences, as well as their related concepts. Building upon that work, in this study we consider methodological usage of CPMM for the case of Asker’s Brand Personality as the primary value framework. The framework brings both the enterprise and the consumer into dialog, with this values co-creation fostering synchronicity between the information systems that are designed as an outgrowth of this process, and the desires of both the consumers and the businesses that they will support. The case example uses the Twitter feed of a major airline, whose tweets are processed using Aaker’s 5-factors and Kano’s quality framework. The results complete an instantiation of CPMM that generates a feature model reflective of both brand personality and values co-creation.

  • 13.
    Svee, Eric-Oluf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Extending Enterprise Architectures to Capture Consumer Values: the Case of TOGAF2015Ingår i: International Conference on Advanced Information Systems Engineering, Springer , 2015Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper explores how to make Enterprise Architecture (EA) aware of consumer values. Current proposals in enterprise modeling recognize the need for user needs, although often without taking explicit account of the consumer values that are at the root of the exchange process. Enterprise architecture provides a roadmap for the development of systems that can support the creation and delivery of products of interest. First, a survey of enterprise architecture practitioners highlights the importance and significance of integrating consumer values into enterprise architecture through. Next, the survey results are used to enhance a consumer value meta-model for better integration with enterprise architecture, specifically The Open Group Architecture Framework (TOGAF).

  • 14.
    Svee, Eric-Oluf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    iStar Instruction in Mixed Student Cohort Environments2015Ingår i: iStar Teaching Workshop: Proceedings of the 1st International iStar Teaching Workshop co-located with the 27th International Conference on Advanced Information Systems Engineering (CAiSE 2015) Stockholm, Sweden, June 9, 2015. / [ed] Jennifer Horkoff, James Lockerbie, Xavier Franch, Eric Yu, John Mylopoulos, Aachen: WISU Verlag Aachen , 2015, Vol. 1370, 19-24 s.Konferensbidrag (Refereegranskat)
  • 15.
    Svee, Eric-Oluf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Towards a Consumer Preference-Based Taxonomy for Information Systems Development2015Ingår i: Perspectives in Business Informatics Research: 14th International Conference, BIR 2015, Tartu, Estonia, August 26-28, 2015, Proceedings / [ed] Raimundas Matulevičius, Marlon Dumas, 2015, 213-227 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    A fundamental problem in many disciplines is the classification of objects within a domain of interest. This struggle is willingly undertaken to accrue the benefits of a shared vocabulary, with the concomitant reduction in complexity allowing for easier study of complex domains. Taxonomies are one such type of controlled vocabulary, and their development within information systems has moved from the ad hoc towards more standardized methods. However, the consumer preferences that catalyze and drive the development of many such systems have been little explored within information science research. This study presents a solution for this deficiency: a taxonomy structure of consumer preferences, based on extendible concepts derived from economic theory, marketing and psychology, and developed extending a known/generic taxonomy development method. A use case from the higher education domain—a platform for online education—has been used to demonstrate the efficacy of the proposed solution.

  • 16.
    Svee, Eric-Oluf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Using Intentional Modeling to Discover the User Preferences in Existing Software Systems2014Ingår i: Proceedings of the 7th International i* Workshop (iStar 2014), Thessaloniki, Greece, June 16-17, 2014, CEUR-WS , 2014Konferensbidrag (Refereegranskat)
    Abstract [en]

    Information systems consist of many low-level components, such as source code, functioning together as a unified whole. However, higher-level requirements, such as the preferences of users concerning quality intentions of the system, are often under-documented, if documented at all. Consequently it can be highly important to elicit the intentions underlying the system for driving or justifying system acceptance in a certain business context. This paper utilizes intentional modeling to discover just such user preferences in existing software systems, in this case a system for managing of the student thesis process in a Swedish university. To accomplish this, stepwise guidelines are proposed for evaluating what user preferences an extant software system expresses. These are presented in a feature model, which is then mapped to the software systems goals, which are themselves represented in i*.

  • 17.
    Svee, Eric-Oluf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Giannoulis, Constantinos
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Consumer Value-aware Enterprise Architecture2012Ingår i: Software Business: Third International Conference, ICSOB 2012. Proceedings / [ed] Michael A. Cusumano, Bala Iyer, N. Venkatraman, Berlin/Heidelberg: Springer Berlin/Heidelberg, 2012, 55-69 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    To improve the alignment between business and IT, this paper explores how to make Enterprise Architecture (EA) aware of consumer values. Current proposals in enterprise modeling recognize the need for modeling user needs, or values. However they do not classify them nor do they provide means to obtain them. In our study, these are first introduced as basic values captured via Schwartz’s Value Survey, a cross-culturally applicable tool from the world of psychology, which are mapped onto Holbrook’s Typology of Consumer Values. Additionally, because formal models require inputs that are more concrete than abstract, and through this proposal, the indistinct values of consumers can be transformed and formalized to be incorporated into enterprise architecture, represented here by ISO/IEC 42010. The novelty of this work is found in the method for operationalizing consumer values for their alignment and utilization within information systems.

  • 18.
    Svee, Eric-Oluf
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Mojtahed, Vahid
    Semantic Enhancements when Designing a BOM-based Conceptual Model Repository2010Ingår i: 2010 International Simulation Multi-Conference, 2010Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    The Defence Conceptual Modeling Framework (DCMF) is the Swedish Defence Research Agency’s (FOI) proposal for conceptual modeling in the military domain. DCMF enables the conceptualization, composition, visualization, and reuse of knowledge for modeling and simulation. To achieve these aims, DCMF requires that its final products—conceptual models expressed as Base Object Models (BOMs)—-are embedded with semantics. In this study, this is accomplished by formalizing them through the use of an ontology. These semantically enriched models are better able to achieve key requirements of DCMF, mainly conceptualization and reuse of knowledge. Such requirements are crucial when conceptual models are stored for later use in a repository.

  • 19.
    Zdravkovic, Jelena
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Giannoulis, Constantinos
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Svee, Eric-Oluf
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Using i* to Capture Consumer Preferences as Requirements for Software Product Lines2013Ingår i: iStar 20136th International i* Workshop: Proceedings of the 6th International i* Workshop 2013 / [ed] Jaelson Castro, Jennifer Horkoff, Neil Maiden, Eric Yu, 2013, 97-102 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    The need for software to fit to diversity of numerous consumers has become a norm. Furthermore, technology innovations stimulate the growth of such software, thus making it even more available and appealing to consumers. Although how economic values relate and influence IT systems is an area that has been addressed, it is not clear whether and how consumer values do so. To address this challenge, this study aims to using i* establish a link between preferences of consumers and system requirements for Software Product Line (SPL) as a seamless way for systematically realizing variations. The presented results are grounded in an empirical study related to the development of a system for Online Education.

  • 20.
    Zdravkovic, Jelena
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Svee, Eric-Oluf
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Giannoulis, Constantinos
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Capturing consumer preferences as requirements for software product lines2015Ingår i: Requirements Engineering, ISSN 0947-3602, E-ISSN 1432-010X, Vol. 20, nr 1, 71-90 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Delivering great consumer experiences in competitive market conditions requires software vendors to move away from traditional modes of thinking to an outside- in perspective, one that shifts their business to becoming consumer-centric. Requirements engineers operating in these conditions thus need new means to both capture real preferences of consumers and then relate them to requirements for software customized in different ways to fit anyone. Additionally, because system development models require inputs that are more concrete than abstract, the indistinct values of consumers need to be classified and formalized. To address this challenge, this study aims to establish a conceptual link between preferences of consumers and system requirements, using software product line (SPL) as a means for systematically accommodating the variations within the preferences. The novelty of this study is a conceptual model of consumer preference, which integrates generic value frameworks from both psychology and marketing, and a method for its transformation to requirements for SPL using a goal-oriented RE framework as the mediator. The presented artifacts are grounded in an empirical study related to the development of a system for online education.

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