Ett företag - flera värden : Om tolkning, bias och bedömning i företagsvärdering

Despite its central role in the global economy, business valuation remains a complex and interpretative process, especially in contexts where objective market prices are lacking. This study aims to deepen the understanding of how valuation professionals manage subjectivity and uncertainty in their assessments. The empirical foundation consists of five semi-structured interviews, supplemented by a text analysis of IFRS 13 and the IPEV guidelines, as well as observational data. The findings show that subjective elements are inherent in the valuation process, particularly when assessing intangible assets and future growth potential. Experience, intuition, and strategic considerations often outweigh purely quantitative models. The study demonstrates that different actors may interpret the same company in divergent ways depending on purpose, available information, and incentives. Prospect Theory and Accounting Theory are used to illustrate how psychological factors influence valuation outcomes. Although frameworks like IFRS 13 and IPEV offer structural guidance, they also allow room for professional judgment. Business valuation is thus portrayed as a process which includes subjective components, with theoretical concepts of bias helping to explain the variation in valuation results.

Publication Details

Journal
KTH Publication Database DiVA (KTH Royal Institute of Technology)
Published
2025-01-01
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ett företag - flera värden : Om tolkning, bias och bedömning i företagsvärdering

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Magnetic confinement fusion research
article

Ett företag - flera värden : Om tolkning, bias och bedömning i företagsvärdering

article en

Abstract

Despite its central role in the global economy, business valuation remains a complex and interpretative process, especially in contexts where objective market prices are lacking. This study aims to deepen the understanding of how valuation professionals manage subjectivity and uncertainty in their assessments. The empirical foundation consists of five semi-structured interviews, supplemented by a text analysis of IFRS 13 and the IPEV guidelines, as well as observational data. The findings show that subjective elements are inherent in the valuation process, particularly when assessing intangible assets and future growth potential. Experience, intuition, and strategic considerations often outweigh purely quantitative models. The study demonstrates that different actors may interpret the same company in divergent ways depending on purpose, available information, and incentives. Prospect Theory and Accounting Theory are used to illustrate how psychological factors influence valuation outcomes. Although frameworks like IFRS 13 and IPEV offer structural guidance, they also allow room for professional judgment. Business valuation is thus portrayed as a process which includes subjective components, with theoretical concepts of bias helping to explain the variation in valuation results.

KTH Publication Database DiVA (KTH Royal Institute of Technology)
Decent work and economic growth
Openalex Percentile: Top 33%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Ett företag - flera värden : Om tolkning, bias och bedömning i företagsvärdering · KTH Publication Database DiVA (KTH Royal Institute of Technology) (2025) | TGRS Research Map | TGRS