TY - JOUR

T1 - A common weights model for investigating efficiency-based leadership in the russian banking industry

AU - Kazemi, Sajad

AU - Tavana, Madjid

AU - Toloo, Mehdi

AU - Zenkevich, Nikolay A.

N1 - Kazemi, S. A common weights model for investigating efficiency-based leadership in the russian banking industry / S. Kazemi, M. Tavana, M. Toloo, N. Zenkevich // RAIRO - Operations Research. - 2021. - Volume 55, Issue 1. - P. 213-229.

PY - 2021/1/1

Y1 - 2021/1/1

N2 - In this race for productivity, the most successful leaders in the banking industry are those with high-efficiency and a competitive edge. Data envelopment analysis is one of the most widely used methods for measuring efficiency in organizations. In this study, we use the ideal point concept and propose a common weights model with fuzzy data and non-discretionary inputs. The proposed model considers environmental criteria with uncertain data to produce a full ranking of homogenous decision-making units. We use the proposed model to investigate the efficiency-based leaders in the Russian banking industry. The results show that the unidimensional and unilateral assessment of leading organizations solely according to corporate size is insufficient to characterize industry leaders effectively. In response, we recommend a multilevel, multicomponent, and multidisciplinary evaluation framework for a more reliable and realistic investigation of leadership at the network level of analysis.

AB - In this race for productivity, the most successful leaders in the banking industry are those with high-efficiency and a competitive edge. Data envelopment analysis is one of the most widely used methods for measuring efficiency in organizations. In this study, we use the ideal point concept and propose a common weights model with fuzzy data and non-discretionary inputs. The proposed model considers environmental criteria with uncertain data to produce a full ranking of homogenous decision-making units. We use the proposed model to investigate the efficiency-based leaders in the Russian banking industry. The results show that the unidimensional and unilateral assessment of leading organizations solely according to corporate size is insufficient to characterize industry leaders effectively. In response, we recommend a multilevel, multicomponent, and multidisciplinary evaluation framework for a more reliable and realistic investigation of leadership at the network level of analysis.

KW - Common weights

KW - Data envelopment analysis

KW - Efficiency

KW - Fuzzy data

KW - Ideal point

KW - Leadership

KW - Non-discretionary inputs

KW - SCOPUS

UR - http://www.scopus.com/inward/record.url?scp=85102600653&partnerID=8YFLogxK

U2 - 10.1051/ro/2020143

DO - 10.1051/ro/2020143

M3 - Article

AN - SCOPUS:85102600653

VL - 55

SP - 213

EP - 229

JO - RAIRO - Operations Research

JF - RAIRO - Operations Research

SN - 0399-0559

IS - 1

ER -