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Exploration of the Barriers to Implementing Different Types of Sustainability Approaches
Author(s) -
Raphaëlle Stewart,
Niki Bey,
Casper Boks
Publication year - 2016
Publication title -
procedia cirp
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.683
H-Index - 65
ISSN - 2212-8271
DOI - 10.1016/j.procir.2016.04.063
Subject(s) - sustainability , variety (cybernetics) , identification (biology) , prioritization , sample (material) , empirical research , data science , computer science , benchmark (surveying) , value proposition , process management , knowledge management , management science , risk analysis (engineering) , business , engineering , marketing , geography , artificial intelligence , ecology , biology , philosophy , chemistry , botany , geodesy , epistemology , chromatography
Integrating sustainability into business is gaining increased attention. Yet, implementing long-lasting sustainability approaches remains a complex task. Many empirical studies have identified the barriers to such implementation but the variation in challenges faced by companies, depending on the focus of the approach being implemented, is not addressed. The aim of this paper is i) to explore the barriers related to implementing different types of sustainability approaches and ii) to look for indications of similarities and differences across types of approaches. The research builds on data about the barriers, collected from a sample of twenty-two empirical studies in academic research and additional reports. The findings show that performance measurement systems and access to industry-specific information, benchmark or reference cases are common areas of difficulty across all types. The main variation is an increase in barriers beyond the company's boundaries, when shifting from a production to a value proposition focus. The results are limited by the unbalanced distribution of studies and the variety in methodologies present in the sample. Further research on barrier identification, prioritization and influential parameters is recommended

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