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Towards a Unified Business Strategy Language: A Meta-model of Strategy Maps
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2010 (English)In: The Practice of Enterprise Modeling: Third IFIP WG 8.1 Working Conference, PoEM 2010, Delft, The Netherlands, November 9-10, 2010. Proceedings / [ed] Patrick van Bommel et al., Springer Berlin/Heidelberg, 2010, 205-216 p.Conference paper, Published paper (Refereed)
Abstract [en]

Alignment between business strategies and the resources engaged ensuring their realization, has been a continuous concern of enterprises of all kinds in last few decades. Commonly, enterprises fail to establish the traceability from business strategies towards operational tasks carried by employees. From the requirements engineering perspective this problem leads also to a misalignment between business and IT assets. In this study, we argue that for communicating high-level intentions and strategies down to the operational perspective, i.e. tasks and resources, the core necessity is to have a rich and well-defined language for modeling business strategies. Such a language could be further utilized for facilitating formalizations and a constructive analysis of high-level business aspects of enterprises, as well for comparing and unifying existing intentional modeling languages from the business and requirements engineering domains. As a reference proposal for formalizing business strategies, we consider the well-established strategy maps [1] from the Management Information Systems community which provide textual concepts of strategy-related notions establishing causal relationships between them. We have set an effort to formalize strategy maps in the form of a meta-model, usage scenarios and constraints, providing a systematic basis for obtaining a unified language/ontology for business strategy modeling.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2010. 205-216 p.
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348 ; 68
Keyword [en]
Business strategy, strategy maps, goal modeling, meta-model
National Category
Information Science
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-52030DOI: 10.1007/978-3-642-16782-9_15ISBN: 978-3-642-16781-2 (print)ISBN: 978-3-642-16782-9 (print)OAI: oai:DiVA.org:su-52030DiVA: diva2:386512
Conference
Third IFIP WG 8.1 Working Conference, PoEM 2010, Delft, The Netherlands, November 9-10, 2010
Available from: 2011-01-12 Created: 2011-01-12 Last updated: 2014-03-31Bibliographically approved
In thesis
1. Model-driven Alignment: Linking Business Strategy with Information Systems
Open this publication in new window or tab >>Model-driven Alignment: Linking Business Strategy with Information Systems
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Information technology (IT) is more pervasive than ever before, constituting a significant factor for performance and survival in the business arena. It is essential that IT within organizations understands what the Business needs in order to provide the necessary support and bring value, which is also true when IT is also the main value creator. Therefore, alignment between the Business and IT within organizations is an issue of great concern and it is still open for solvency both for business and IT executives and practitioners.

This work is scoped to the alignment linkage between business strategy and information systems (IS), where business strategy typically constitutes the primary exponent of the Business and IS typically encapsulates the elements of IT sustaining an organization. Current approaches are either focused on detailed aspects of IS and treat business strategy abstractly or use distinct business strategy formulations (e.g. Value Chain) but deal with IS only partially. This is problematic because the abstract use of business strategy hinders traceability of strategic intentions and initiatives towards features/aspects of IS, which are aimed to actualize and support such intentions. Because approaches using distinct business strategy formulations are not relevant to all organizations and are limited only to the IS aspects addressed.

Introducing a model-driven approach for the alignment linkage is aimed at addressing the outlined shortcomings. Following a design science research paradigm, the main artifact developed is the Unified Business Strategy Meta-Model (UBSMM), which is based on conceptualizing established business strategy formulations (e.g. Value Chain) and integrating them. UBSMM supports mappings to IS models used in organizations, such as IS requirements, enterprise models and enterprise architecture, and provides unambiguous utilization of business strategy for the alignment linkage.

Contributions of this thesis are grounded both on the process of building UBSMM and mapping to IS models, as well as the artifact itself. Conceptualizing and integrating business strategy formulations provides a less ambiguous and unified view of strategic concepts. This limits variations in interpretation and reinforces mappings to IS models, which are defined based on inter-schema properties across models. Therefore, UBSMM can link business strategy to IS models enhancing their communication in a traceable manner, ergo, support alignment.

Place, publisher, year, edition, pages
Stockholm: Department of Computer and Systems Sciences, Stockholm University, 2014. 113 p.
Series
Report Series / Department of Computer & Systems Sciences, ISSN 1101-8526 ; 14-008
Keyword
Alignment, Business, Strategy, Information, Systems, Requirements, IS, Enterprise, Models, Modeling
National Category
Information Systems, Social aspects
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-102214 (URN)978-91-7447-891-4 (ISBN)
Public defence
2014-05-05, sal B, Forum, Isafjordsgatan 39, Kista, 13:00 (English)
Opponent
Supervisors
Note

At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 10: Submitted. Paper 11: Accepted.

Available from: 2014-04-14 Created: 2014-03-28 Last updated: 2014-04-08Bibliographically approved

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