Metadata language
Książka = Book ; KS/8/2008/R02P05
Creator: Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:[3], 125-141 pages ; 21 cm ; Bibliography p. 138-140
Type of object: Abstract:Corporate Social Responsibility (CSR) driven innovation is typically highly co mp lex as a wide range of parameters ( descriptors) needs to be taken into account. The paper introduces a simple method to aggregate descriptor values prior to partial order ranking is suggested as a decision support tool that advantageously may be applied by companies being engaged in CSR driven innovation processes, the eventual objective being the selection of one or more products or services for further development that, e.g., fulfil the requirements of being of a) value to the company and at the same time strengthening or consolidating the company's image, b) value to the target customer and at same time being safe to use, and c) value to the society and at the same time being environmentally friendly. Thus, in cases where pairs of descriptors are closely relation, like value and importance factors, the descriptors may advantageously be aggregated by multiplying the single corresponding values, the aggregated values subsequently being used for conventional partial order ranking. The aggregation is an altemative in situations where the ration between the total number of descriptors and the number of elements to be ranking is unfavourable possibly leading to nonrobust models. The rationale behind the descriptor aggregation is discussed.
Relation: Resource type: Detailed Resource Type: Source: Language: Language of abstract: Rights:Creative Commons Attribution BY 4.0 license
Terms of use:Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -
Digitizing institution:Systems Research Institute of the Polish Academy of Sciences
Original in:Library of Systems Research Institute PAS
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