TY - JOUR
T1 - Granular and Relational SWOT Analysis
T2 - 6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024
AU - Tüzün, Alican
AU - Tripathi, Shailesh
AU - Bachmann, Nadine
AU - Thienemann, Ann Kristin
AU - Brunner, Manuel
AU - Jodlbauer, Herbert
N1 - Publisher Copyright:
© 2024 The Authors. Published by Elsevier B.V.
PY - 2025
Y1 - 2025
N2 - The traditional Strength, Weakness, Opportunity, and Threat (SWOT) analysis, despite its popularity [37], faces a significant challenge in interpreting information through the "SWOT Matrix (SM)"[20]. The conventional matrix fails to capture the complexity, semantics, and detailed characteristics necessary for comprehensive decision-making. Therefore, this paper introduces an innovative approach to address these limitations by an ontology SWOTONT [45] representing the domain of SWOT analysis. SWOTONT is developed through a literature review and a bottom-up ontology development approach [23], providing context to the SWOT attributes by introducing finer subcategories and mapping their interrelationships. By developing a structured semantic approach, authors aimed to enable more precise knowledge extraction and support advanced strategic analysis. Future work will focus on empirical validation through case studies and domain expert feedback, integrating an upper ontology and exploring additional applications and integrations of the model.
AB - The traditional Strength, Weakness, Opportunity, and Threat (SWOT) analysis, despite its popularity [37], faces a significant challenge in interpreting information through the "SWOT Matrix (SM)"[20]. The conventional matrix fails to capture the complexity, semantics, and detailed characteristics necessary for comprehensive decision-making. Therefore, this paper introduces an innovative approach to address these limitations by an ontology SWOTONT [45] representing the domain of SWOT analysis. SWOTONT is developed through a literature review and a bottom-up ontology development approach [23], providing context to the SWOT attributes by introducing finer subcategories and mapping their interrelationships. By developing a structured semantic approach, authors aimed to enable more precise knowledge extraction and support advanced strategic analysis. Future work will focus on empirical validation through case studies and domain expert feedback, integrating an upper ontology and exploring additional applications and integrations of the model.
KW - Ontology
KW - Protege
KW - SOFT
KW - SWOT
KW - SWOT Analysis
KW - TOWS
KW - TOWS Matrix
UR - http://www.scopus.com/inward/record.url?scp=105000461806&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2025.01.317
DO - 10.1016/j.procs.2025.01.317
M3 - Conference article
AN - SCOPUS:105000461806
SN - 1877-0509
VL - 253
SP - 2575
EP - 2585
JO - Procedia Computer Science
JF - Procedia Computer Science
Y2 - 13 November 2024 through 15 November 2024
ER -