Work

Corporate sustainability performance improvement using an interrelationship hierarchical model approach

Year: 2018

Type: article

Abstract: This study: (i) contributes to screening less important corporate sustainability attributes, (ii) proposes an interrelationship and hierarchical model based on the focal firm in the electronic industry's approach, and (iii) compares the performance and importance levels to identify performance improvement attributes. Prior studies neglected performance improvement with interrelationships and hierarchical structure analytical models built on multi‐attributes. Hence, this study proposes to integrate exploratory factor analysis to eliminate less important attributes, adopts a fuzzy synthetic method to address the hierarchical model, and the fuzzy synthetic and the decision‐making trial and evaluation laboratory methods to trace the attributes' importance and performance levels. The importance and performance level discrepancies indicated improvement. The social image, corporate culture and stakeholder management led to economic activities. The results indicate that top management support and manager attitude and behaviour are the drivers of corporate sustainability performance improvement.

Source: Business Strategy and the Environment

DOI: 10.1002/bse.2182

Authors: Ming‐Lang Tseng, Ming K. Lim, Kuo‐Jui Wu

Institutions: Asia University, Chongqing University, Dalian University of Technology

Language: English

Topic: Corporate Social Responsibility Reporting

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Ministry of Science and Technology, Taiwan

Awards: 大数据环境下企业绿色创新的影响因素获取及评估方法研究, G7179106128