Business model innovation has seen a recent surge in academic research and business practice. Changes to business models are recognized as a fundamental approach to realize innovations for sustainability. However, little is known about the successful adoption of sustainable business models (SBMs). The purpose of this paper is to develop a unified theoretical perspective for understanding business model innovations that lead to better organizational economic, environmental and social performance. The paper examines bodies of literature on business model innovation, sustainability innovation, networks theory, stakeholder theory and product–service systems. We develop five propositions that support the creation of SBMs in a unified perspective, which lays a foundation to support organizations in investigating and experimenting with alternative new business models. This article contributes to the emerging field of SBMs, which embed economic, environmental and social flows of value that are created, delivered and captured in a value network. It highlights gaps for addressing the challenges of business model innovation for sustainability and suggests avenues for future research. © 2017 The Authors. Business Strategy and the Environment published by ERP Environment and John Wiley & Sons Ltd

Digital technology is regarded as providing a promising means of moving production and consumption towards the circular economy. However, it is still unclear which functions of digital technologies are most useful to improving circularity, and how these functions could be used to enhance different circular economy strategies. This paper aims to address this knowledge gap by conducting a systematic literature review. After examining 174 papers, creating 782 original codes and 259 second‐round codes, the study identifies 13 critical functions of digital technologies which are most relevant to circular economy strategies. The paper then proposes a framework which reveals seven mechanisms of how these digital functions can enhance different circular economy strategies. The framework also reveals which combinations of the digital functions and circular economy strategies have already been studied extensively as well as where there may be gaps. This indicates which digital functions are more mature in terms of possible implementation for circular economy as well as what missing links there are in the empirical and theoretical research. The study advances the synergies between digital technologies and the circular economy paradigm through the lens of digital functions. The proposed framework and mechanisms build a theoretical foundation for future research, and we highlight five research areas for further studies. This study also provides a structured way for managers to explore the appropriate digital functions for their CE strategies, so as to identify required digital technologies and new value creation through digital functions.

Shifting supply chains from linear to closed-loop models is an important step towards circular economy. This paper investigates business model innovation for circular supply chains, and proposes that product-service systems (PSS) business models can enhance the circularity of supply chains through value creation in inner circles, circling long and cascading use circles. It adopts an exploratory case study method of a large Chinese manufacturing firm operating a traditional product-based business model and three types of PSS business models (i.e. product-, use- and result-oriented PSSs). The supply chain operations of the four distinct business models are analysed and their associated circularities are discussed. The findings show that business models akin to result-oriented PSS, have tighter and more efficient cycles of supply chain operations; which means, the repair, reuse and remanufacturing system is faster and the rate is higher. This research contributes to a better understanding of the relationship between business model innovation and supply chain circularity.

Electric vehicles (EVs) are recognized as one of the most promising technologies worldwide to address the fossil fuel energy resource crisis and environmental pollution. As the initial work of EV charging station (EVCS) construction, site selection plays a vital role in its whole life cycle, which, however, is a complicated multiple criteria decision making (MCDM) problem involving many conflicting criteria. Therefore, this work aims to propose a novel integrated MCDM approach by a grey decision making trial and evaluation laboratory (DEMATEL) and uncertain linguistic multi-objective optimization by ratio analysis plus full multiplicative form (UL-MULTIMOORA) for determining the most suitable EVCS site in terms of multiple interrelated criteria. Specifically, the grey DEMATEL method is used to determine criteria weights and the UL-MULTIMOORA model is employed to evaluate and select the optimal site. Finally, an empirical example in Shanghai, China, is presented to demonstrate the applicability and effectiveness of the proposed approach. The results show that the proposed approach is a useful, practical, and effective way to find the optimal location of EVCSs.