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Supporting strategic planning through policy content analysis: a model-based approach
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2024 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

As tackling complex social dilemmas such as climate change calls for green transition, organizations need to rethink their strategies and enable social good initiatives towards a common goal of sustainable development. Regulatory, competing, or social demands may cause organizations to adapt to rapidly changing environments in which they operate. In this context, no organization exists in isolation from its environment. One of the key external factors is the regulatory environment that governs organizations. Typically, organizations need support to continuously review and update their strategies through strategic planning to ensure regulatory compliance. In addition, legal material such as legislation, policies, or regulations is characterized by high ambiguity, making it challenging to implement them straightforwardly. Model-based approaches play an important role in dealing with ambiguity. That provides an opportunity to apply a model-based approach to represent the content of public policy to support strategic planning by making it easier for organizations to communicate around strategic alignment with the external regulatory environment. To explore the feasibility through artifact design and development, the study applied this approach to one concrete policy document focusing on working towards climate neutrality: Regulation (EU) 2021/1119. Using design science research as a framework and strategy, the artifact is iteratively developed through four activities: problem identification, requirements elicitation, design and development, and demonstration and evaluation. To identify the problem and elicit requirements, a literature review is applied. The results demonstrate how practitioners can use a combination of content analysis, Business Motivation Model (BMM) notation, and modeling to analytically identify the components (ends and means) and their dependencies by unfolding the content and structure of the selected policy document in the form of a model using BMM notation. A formative evaluation was conducted through web-based questionnaires with public and private sector organizations’ experts working with strategic planning and sustainability integration in Sweden to validate the artifact and collect feedback for further improvements. The evaluation reveals a difference between how seniority-level groups perceive the artifact solution. The findings suggest that the artifact is mostly favored by top management seniority-level group users. Furthermore, suggestions were identified for future research. For example, the general principles of information visualization, visual representation, and cognitive load theory allow for addressing the issues most commonly raised by respondents, such as information structuring and cognitive effectiveness. Overall, the study should help organizations, practitioners, and researchers in different fields and disciplines show how policy content can be structured and presented through the model-based approach in order to facilitate the interpretation of policy content valuable in their respective practices, such as strategic planning, policy analysis, or sustainability integration.

Place, publisher, year, edition, pages
2024.
Keywords [en]
Design Science Research, Business Motivation Model, Enterprise Modeling, Goal Modeling, Content Analysis, Policy Analysis, Public Policy, Strategic Planning, Strategy Tools, Sustainability, Climate Neutrality
National Category
Information Systems
Identifiers
URN: urn:nbn:se:su:diva-242819OAI: oai:DiVA.org:su-242819DiVA, id: diva2:1955752
Available from: 2025-04-30 Created: 2025-04-30

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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