Environmental Engineering Reference
In-Depth Information
Fig. 1 The product innovation process with product life cycle [adapted from Sarkis ( 2003 ) and
Hallstedt et al. ( 2013 )]
management, suppliers, warehouses, distribution), and sales is stored in an ERP
database and can be further used for designing products and production.
The set of potential factors of product success has been derived from an exten-
sive exploratory and mainly descriptive study with a qualitative research approach.
The study is based on a review of literature and previous research results. In con-
trast to theoretical studies and research on how sustainability can be integrated in
product development, this study contributes to the use of an ERP system to meas-
ure implementation of eco-innovation and identify the key factors that impact on
the success of product.
Product success can be measured in sales volume, net profit, export rate, success
rate of R&D products, market share, etc. Taking into account the different product
lifetime and return on product development expense, return on investment, sales
volume, and profitability, are chosen as the measure of product success for the
output variables. In turn, the input variables contain the field of R&D, production,
logistics, sales and marketing, as well as eco-innovation implementation. Each of
these fields consists of performance indicators that are presented in Table 2 . This
hierarchical structure allows the decision-maker to compare the influence of each
field on the innovation metrics. Figure 2 illustrates an approach dedicated to identi-
fying the key success factors for improving the new product development process.
The input-output system enables the identification of critical factors that individu-
ally or jointly affect product success and finally company's competitiveness.
Data in the model contains both objective indices (e.g. from ERP system) and
subjective judgements that depend on the employee's knowledge and experiences.
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