Value network analysis and value conversion of tangible and intangible assets

2008 ◽  
Vol 9 (1) ◽  
pp. 5-24 ◽  
Author(s):  
Verna Allee
2014 ◽  
Vol 2 (1) ◽  
pp. 104-138 ◽  
Author(s):  
Susana Nicola ◽  
Eduarda Pinto Ferreira ◽  
João José Pinto Ferreira

The research presented in this paper proposes a novel quantitative model for decomposing and assessing the Value for the Customer. The proposed approach builds on the different dimensions of the Value Network analysis proposed by Verna Allee having as background the concept of Value for the Customer proposed by Woodall. In this context, the Value for the Customer is modelled as a relationship established between the exchanged deliverables and a combination of tangible and intangible assets projected into their endogenous or exogenous dimensions. The Value Network Analysis of the deliverables exchange enables an in-depth understanding of this frontier and the implicit modelling of co-creation scenarios. The proposed Conceptual Model for Decomposing Value for the Customer combines several concepts: from the marketing area we have the concept of Value for the Customer; from the area of intellectual capital the concept of Value Network Analysis; from the collaborative networks area we have the perspective of the enterprise life cycle and the endogenous and exogenous perspectives; at last, the proposed model is supported by a mathematical formal description that stems from the area of Multi-Criteria Decision Making. The whole concept is illustrated in the context of a case study of an enterprise in the footwear industry (Pontechem). The merits of this approach seem evident from the contact with Pontechem as it provides a structured approach for the enterprises to assess the adequacy of their value proposition to the client/customer needs and how these relate to their endogenous and/or exogenous tangible or intangible assets. The proposed model, as a tool, may therefore be a useful instrument in supporting the commercialisation of new products and/or services.


Space Policy ◽  
2012 ◽  
Vol 28 (4) ◽  
pp. 259-269 ◽  
Author(s):  
Timothy A. Sutherland ◽  
Bruce G. Cameron ◽  
Edward F. Crawley

2014 ◽  
Vol 05 (04) ◽  
pp. 172-179 ◽  
Author(s):  
Yuguo Jiang ◽  
Lili Fan ◽  
Yanxi Yu ◽  
Genghong Shi

2020 ◽  
Vol 110 ◽  
pp. 31-35
Author(s):  
Carol Corrado ◽  
David Martin ◽  
Qianfan Wu

Patents and other intellectual property (IP) have grown in relative importance in investments and market capitalizations of public firms (e.g., Corrado and Hulten 2010). This paper illustrates the construction of IP-intensive stock price indexes, focusing on a network analysis tool (Martin 2001, Winer et al. 2003, Luse and Martin 2014) that helps pinpoint firms that are most likely to generate value from their intangible assets. The analysis finds that (a) stock price indexes constructed using the tool yield above-average returns and (b) stock prices of US companies in two tech-driven sectors outperform non-US firms despite lower average patent portfolio valuations.


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