Multidimensional Sustainability Performance Measurement in the Banking Industry

A Data‐Driven Grey Decision‐Support Framework

Bibliographic Data

ID22418677
AuthorsÖzcan Işık (0000-0003-2230-8738, Department of Finance and Banking, Faculty of Economics and Administrative Sciences Sivas Cumhuriyet University Sivas Türkiye), Mohsin Shabir (0000-0002-1315-8654, School of Accounting and Finance Hong Kong Polytechnic University (PolyU) Kowloon Hong Kong), Alparslan Oğuz (0000-0003-1920-5674, Department of Office Services and Secretarial, Kemah Vocational School, Erzincan Binali Yıldırım University Erzincan Türkiye), Okan Alkan (0000-0002-6526-1645, Department of Computer Technologies, Vocational School Erzincan Binali Yıldırım University Erzincan Türkiye)
Year2026
Publication date2026-07-15
Open AccessYes
TypeARTICLE
VenueBusiness Strategy and the Environment (JOURNAL)
Journal identifiersISSN: 0964-4733 • E-ISSN: 1099-0836
PublisherWiley (PUBLISHER • GB)
DOI10.1002/bse.71305
OpenAlexW7168426748
LanguageEN
References cited50

Given the critical role that banks play in sustainable development through their financial intermediation and capital allocation functions, assessing their sustainability performance has become an increasingly important research issue. In response, this research introduces a data‐driven grey decision‐support framework for assessing multidimensional sustainability performance in the banking industry. Sustainability indicators are systematically identified through text‐mining‐based content analysis of banks' sustainability reports and annual activity reports. The empirical analysis covers nine banks continuously included in the BIST Sustainability Index over the 2020–2024 period. To reflect temporal variability in sustainability disclosures, the assessment is formulated under grey interval numbers. Within this decision‐support framework, Grey LODECI is employed to identify criterion importance, while Grey SWI is utilized to rank bank performance in terms of sustainability. This manuscript also offers useful implications for bank managers, regulators, investors, and sustainability rating agencies by supporting more comprehensive sustainability benchmarking and more informed strategic and regulatory decision‐making.

Benchmarking · Empirical research · Environmental Sustainability Index · Performance measurement · Sustainability · Sustainability organizations · Sustainable development · Corporate Social Responsibility Reporting · Efficiency Analysis Using DEA · Sustainable Building Design and Assessment

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