51 research outputs found

    Design thinking to enhance the sustainable business modelling process – A workshop based on a value mapping process

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    Sustainable business model innovation is an emerging topic, but only few tools are currently available to assist companies in sustainable business modelling. This paper works towards closing this gap by bringing together ‘design thinking’ and ‘sustainable business model innovation’ to refine the creative process of developing sustainable value propositions and improve the overall business modelling process. This paper proposes a new workshop framework based on a value mapping process, which was developed by literature synthesis, expert interviews, and multiple workshops. The framework was transferred into a workshop routine and subsequently tested with companies and students. The resulting ‘Value Ideation’ process comprises value ideation, value opportunity selection, and value proposition prototyping. The integration of design thinking into the innovation process helps to create additional forms of value and include formerly underserved stakeholders in the value proposition. Thus, the Value Ideation process helps companies to improve their performance while becoming more sustainable. Workshop evaluations revealed that the Value Ideation process assists companies in enhancing their value proposition by including positive economic, societal, and environmental value and a wider range of stakeholder interests. The ‘design thinking’ elements stimulate the ideation process and help to harmonise often conflicting stakeholder interests.This project was supported by ResCoM, which is co-funded by the European Union under the EU Seventh Framework Programme (FP7), Grant agreement number: 603843.This is the author accepted manuscript. The final version is available from Elsevier via http://dx.doi.org/10.1016/j.jclepro.2016.07.02

    Development time and new product sales: A contingency analysis of product innovativeness and price

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    Opposing theories and conflicting empirical results with regard to the effect of development time on new product sales suggest the need for a contingency analysis into factors affecting this relationship. This study uses a unique combination of accounting and perceptual data from 129 product development projects to test the combined contingency effect of product innovativeness and new product price on the relationship between development time and new product sales. The results show that for radically new products with short development times, price has no effect on new product sales. When the development time is long, price has a negative effect on the sales of radical new products. The findings additionally show that price has no effect on sales for incremental new products with short development times and a negative effect for incremental new products with long development times. Together, these findings shed new light on the relationship between development time and new product sales

    How Today's Consumers Perceive Tomorrow's Smart Products

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    This paper investigates consumer responses to new smart products. Due to the application of information technology, smart products are able to collect, process, and produce information and can be described as ¿thinking¿ for themselves. In this study, 184 consumers respond to smart products that are characterized by two different combinations of smartness dimensions. One group of products shows the smartness dimensions of autonomy, adaptability, and reactivity. Another group of smart products are multifunctional and able to cooperate with other products. Consumer responses to these smart products are measured in terms of the innovation attributes of relative advantage, compatibility, observability, complexity, and perceived risk. The study shows that products with higher levels of smartness are perceived to have both advantages and disadvantages. Higher levels of product smartness are mainly associated with higher levels of observability and perceived risk. The effects of product smartness on relative advantage, compatibility, and complexity vary across product smartness dimensions and across product categories. For example, higher levels of product autonomy are perceived as increasingly advantageous whereas a high level of multifunctionality is perceived disadvantageous. The paper discusses the advantages and pitfalls for each of the five product smartness dimensions and their implications for new product development and concludes with a discussion of the limitations of the study and suggestions for further research. [ABSTRACT FROM AUTHOR
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