Data As a Driver of Green Transition in the Real Estate Industry
Kaasinen, Emma Aurora (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024052716005
https://urn.fi/URN:NBN:fi:amk-2024052716005
Tiivistelmä
This thesis examined the EU regulatory frameworks mitigating the greenhouse gas emissions produced by the built environment. The research focused on legislation relevant to property owners and banks, detailing the associated reporting obligations to understand the impacts on market dynamics and the data requirements of market stakeholders.
The theoretical framework was built on academic research discussing the motivators for investors' engagement in sustainable business, and the principal challenges involved. The theoretical framework also incorporated the main elements of the EU taxonomy framework, aligning with the thesis’s scope, to clarify the reporting expectations for property owners and banks.
The Empirical Research of the thesis was conducted in two phases. The first phase involved analyzing observations from global market research companies to form an understanding of the tangible effects of regulatory guidance on market dynamics and the investor behaviour. The second phase tested the validity of hypotheses developed during the market research phase through semi-structured interviews with Finnish market actors. These interviews aimed to validate and refine the preliminary assumptions about the data needs of the market operators, developed during the process.
This thesis employed the Design Science Research approach, which includes multiple iterative stages designed to develop innovative and practical solutions to challenges within Information Systems. This approach was utilized to articulate the data needs within the market, enabling the final results of the thesis to demonstrate how these data requirements could be met from a data flow perspective.
The findings revealed that market participants have diverse data needs, some of which are driven by immediate reporting requirements. The need for data to support business strategies was also recognized as a second primary driver of data requirements for companies. These data needs were categorized based on data availability and the specific requirements they address. The thesis also discussed the challenges associated with these data needs, emphasizing the necessity for collaboration between the public sector and private market entities to devise effective solutions.
The theoretical framework was built on academic research discussing the motivators for investors' engagement in sustainable business, and the principal challenges involved. The theoretical framework also incorporated the main elements of the EU taxonomy framework, aligning with the thesis’s scope, to clarify the reporting expectations for property owners and banks.
The Empirical Research of the thesis was conducted in two phases. The first phase involved analyzing observations from global market research companies to form an understanding of the tangible effects of regulatory guidance on market dynamics and the investor behaviour. The second phase tested the validity of hypotheses developed during the market research phase through semi-structured interviews with Finnish market actors. These interviews aimed to validate and refine the preliminary assumptions about the data needs of the market operators, developed during the process.
This thesis employed the Design Science Research approach, which includes multiple iterative stages designed to develop innovative and practical solutions to challenges within Information Systems. This approach was utilized to articulate the data needs within the market, enabling the final results of the thesis to demonstrate how these data requirements could be met from a data flow perspective.
The findings revealed that market participants have diverse data needs, some of which are driven by immediate reporting requirements. The need for data to support business strategies was also recognized as a second primary driver of data requirements for companies. These data needs were categorized based on data availability and the specific requirements they address. The thesis also discussed the challenges associated with these data needs, emphasizing the necessity for collaboration between the public sector and private market entities to devise effective solutions.