Title: Influence of organisational characteristics in sustainability corporate strategy
Authors: Dalton Alexandre Kai; Érica Tessaro De Jesus; Everaldo Antonio Rutana Pereira; Edson Pinheiro De Lima; Ubiratã Tortato
Addresses: Polytechnic School, Pontifical Catholic University of Parana, 1155, Imaculada Conceição ST, Prado Velho, Curitiba, Parana, Brazil ' Industrial and System Engineering, Pontifical Catholic University of Parana, 1155, Imaculada Conceição ST, Prado Velho, Curitiba, Parana, Brazil ' Business School, Pontifical Catholic University of Parana, 1155, Imaculada Conceição ST, Prado Velho, Curitiba, Parana, Brazil ' Polytechnic School, Industrial and System Engineering, Pontifical Catholic University of Parana, 1155, Imaculada Conceição ST, Prado Velho, Curitiba, Parana, Brazil; Federal University of Technology – Parana, Km 1, Via do Conhecimento, Pato Branco, Parana, Brazil ' Business School, Pontifical Catholic University of Parana, 1155, Imaculada Conceição ST, Prado Velho, Curitiba, Parana, Brazil
Abstract: Corporate sustainability is about incorporating sustainability practices into business strategy, which is paramount for a company's development. It emphasises the search for a balance of the economic, social and environmental perspectives. The strategic adoption of sustainability practices changes management and organisational characteristics. Nonetheless, the question that remains is whether the opposite can happen. The study aims to match some of the characteristics of a sample of companies with sustainability strategy. A multinomial logistic regression analysis was used for the collected data. Data from five companies' characteristics were used as independent variables and related to 15 aspects of corporate strategy and sustainability practices as dependent variables. The results show that sustainability is definitively in the strategic agenda; it has an important influence in the competitive strategy of the studied companies.
Keywords: sustainability; corporate sustainability strategy; multinomial logistic regression.
DOI: 10.1504/IJASM.2017.088548
International Journal of Agile Systems and Management, 2017 Vol.10 No.3/4, pp.231 - 249
Received: 03 Jan 2017
Accepted: 17 Aug 2017
Published online: 11 Dec 2017 *