Abstract

Sustainability issues make the transformation to a more sustainable business model increasingly desirable. This study aims to analyze the literatures on SBM to provide a systematic review of the current status of the SBM literatures. This paper uses visual bibliometrics and comparative research methods to carry out collaboration, co-citation, and co-occurrence analyses of the literatures from the Web of Science by CiteSpace. Compared with the existing literature reviews of SBM, this paper makes a set of knowledge maps and analyzes visual results based on BMI-3 category framework to show the features of literatures, the future trend and the potential approaches contributing to SBM. It is the first study to present the major clusters to reveal their associated intellectual bases and research fronts in SBM.

Highlights

  • This Sustainable development is considered a major challenge of the 21st century

  • The attention paid to sustainable business model (SBM) in both academia and practical fields has rapidly increased

  • The objective of this paper is to explore the knowledge structure, development and the future trend of SBM combined with data mining based on CiteSpace and the BMI-3 category framework

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Summary

Introduction

This Sustainable development is considered a major challenge of the 21st century. Sustainability problems, such as increasingly intensified inequality and the damage of the natural environment, constantly increase the demand for a more sustainable economic environment [1]. The attention paid to sustainable business model (SBM) in both academia and practical fields has rapidly increased. New findings come from various fields may radically change collective knowledge [4]. As SBM is evolving rapidly in both the industrial and academic fields, it is essential to keep the pace with the findings in related studies and to understand their highlights, fundamental knowledge, and so forth. The knowledge structure, research development, some new problem and the future trend of SBM are proposed

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