Marianna Kazimierska and Magdalena Grębosz-Krawczyk
 G. Barczak and D.L. Wilemon, “Leadership Differences in NewProductDevelopment Teams”, Journal of Product Innovation Management , vol. 6, no. 4, pp. 259-267, 1989.
 A. Bryman, Social Research Methods . Oxford: Oxford University Press, 2008.
 K.H. Chang, E-Design, Computer-Aided Engineering Design . Oxford: Academic Press, 2015.
 B. Cimatti and G. Campana, “Modern industrial product development and organizational impact”, International Journal of Organizational Innovation , vol. 8, no. 3, pp. 7-17, Jan. 2016
Development Activities: an empirical Investigation. Journal of Product Innovation Management, 12(3), pp.214-223.
 Castellion, G., 2005. A New Product’s Development Strategy: Formulation and Implementation. The PDMA Handbook of newProductDevelopment. Hoboken, NJ: Wiley.
 Cooper, R.G., 1985. Overall Corporate Strategies for New Product Programs. Industrial Marketing Management, 14(3), pp.179-193.
 Cooper, R.G., 1990. Stage-gate Systems: A New Tool for Managing New Products. Business Horizons, 33(3), pp.44-54. DOI
Preference markets address the need for scalable, fast and engaging market research in new product development. The Web 2.0 paradigm, in which users contribute numerous ideas that may lead to new products, requires new methods of screening those ideas for their marketability and preference markets offer just such a mechanism. For faster new product development decisions, a flexible prioritization methodology for product features and concepts is tested. It scales up in the number of testable alternatives, limited only by the number of participants. New product preferences for concepts, attributes and attribute levels are measured by trading stocks whose prices are based upon share of choice of new products and features. Benefits of preference markets include speed, scalability, flexibility, and respondent enthusiasm for the method.
 AberdeenGroup (2006) - The product portfolio management benchmark report (online). URL: http//emeraldinsight.com (accessed 29 February 2012).
 Augusto P., Miguel C. (2008) - Portfolio management and newproductdevelopment implementation: A case study in a manufacturing firm. International journal of quality and reliability management (online), 25(1):10-23. URL: http//emeraldinsight.com/newproductdevelopment (accessed 28 February 2012).
 Brown J. (2010) - Are there best practices for product portfolio management
 Cooper R., Edgett S., 2008. Maximizing productivity in product innovation. Research Technology Management , 51(2), pp.47-58.
 Chan S.L., Ip W.H., 2011. A dynamic decision support system to predict the value of customer for newproductdevelopment. Decision Support Systems , Vol. 52, pp.178-188.
 Spalek S., 2013. Improving industrial engineering performance through a successful project management office. Engineering Economics , 24(2), pp.88-98.
 Relich M., Bzdyra K., 2014. Estimating new product success with the
 Benedetto C.A. - Identifying the key success factors in new product launch [in] Journal of Product Innovation Management, Vol. 16, 1999, pp. 530-544.
 Cooper R., Edgett S. - Maximizing productivity in product innovation [in] Research Technology Management, Vol. 51, No. 2, 2008, pp. 47-58.
 Ulrich K.T., Eppinger S.D. - Product design and development. McGraw-Hill 2011.
 Cooper L.P. - A research agenda to reduce risk in newproductdevelopment through knowledge management: a
Bessant, 2009 ), with newproductdevelopment (NPD) ‘among the essential processes for success, survival and renewal of organisations’ ( Brown and Eisenhardt, 1995 : 344). The NPD process is arguably the most important dynamic capability within a firm ( Nelson and Winter, 1982 ); and NPD programmes can be the most profitable growth strategy when compared to mergers, alliances, acquisitions, or joint ventures ( Jones et al., 2012
The rationale for studying innovation in SMEs is clear. First, SMEs are important players in the national innovation ecosystem, even if only
An effective and efficient New Product Development (NPD) and implementation process is crucial for creation of competitive advantage for each company. Due to this fact, companies are more and more often looking for methods and tools for improvement of NPD processes. The paper deals with an integrated Model Based Systems Engineering (MBSE) and lean approach to NPD. The individual stages of the NPD process are predisposed to different degrees to the use of MBSE and Lean. The research conducted shows that the use of advanced MBSE and lean tools and techniques in the development of new products is not widespread. There is a room for future research.
Nowadays, more and more enterprises are using Enterprise Resource Planning (EPR) systems that can also be used to plan and control the development of new products. In order to obtain a project schedule, certain parameters (e.g. duration) have to be specified in an ERP system. These parameters can be defined by the employees according to their knowledge, or can be estimated on the basis of data from previously completed projects. This paper investigates using an ERP database to identify those variables that have a significant influence on the duration of a project phase. In the paper, a model of knowledge discovery from an ERP database is proposed. The presented method contains four stages of the knowledge discovery process such as data selection, data transformation, data mining and interpretation of patterns in the context of new product development. Among data mining techniques, a fuzzy neural system is chosen to seek relationships on the basis of data from completed projects stored in an ERP system.
Emilio García López, Ernesto León Castro and Marcela Rebeca Contreras
, 47 (1), 1–21.
Langerak, F., Hultink, E. J., & Robben, S. J. (2007) . The mediating role of newproductdevelopment in the link between market orientation and organizational performance. Journal of Strategic Marketing , 15 (4), 281–305.
Munuera, J. L., & Rodríguez, A. I. (2012) . Marketing Strategies: an approach based on the management process . Spain: ESIC.
Roberto, M. A. (2004) . Strategic decision-making processes: Beyond the efficiency-consensus trade-off. Group & Organization Management , 29 (6), 625–658.
Thieme, J. R., Song, M. X