Strategies for collaboration in new product development

2005 ◽  
Vol 5 (2) ◽  
pp. 65-72 ◽  
Author(s):  
Cecilia Mark-Herbert

In the past decades Swedish food companies have faced increasing competition. One way of gaining competitive advantage is to find new ways of creating added value based on technological development. This may lead to the production of valueadded products, profits from licensing agreements and a boost for the company image. Businesses that want to succeed in this market also need to develop new managerial methods, in particular in identifying critical technologies and strategic collaboration partners. The presented case studies provide examples of building internal skills, employing innovative external sourcing, developing new markets with strong brands and establishing networks and alliances for new product development.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  

Purpose: This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design: This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings: New product development is a critical consideration for any business. Utilizing market-sensing capabilities to boost this is key for gaining competitive advantage. Originality: The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.


2017 ◽  
Vol 37 (10) ◽  
pp. 1366-1385 ◽  
Author(s):  
Hanna Bahemia ◽  
Brian Squire ◽  
Paul Cousins

Purpose This paper explores openness within new product development (NPD) projects. The purpose of this paper is to examine the impact of breadth, depth and partner newness on product innovativeness and product competitive advantage. The authors also seek to examine the contingent effects of the appropriability regime. The authors make suggestions to academics and practitioners based on the findings. Design/methodology/approach The authors use a structured survey instrument producing an empirical analysis of 205 NPD projects in the manufacturing sector in the UK. The authors use an ordinary least squares regression model to test hypothesised relationships between openness (breadth, depth and partner newness), product innovativeness, product competitive advantage and the appropriability regime. Findings The authors find that each of the three dimensions of openness, depth, breadth and partner newness, have a significant but differing impact on product innovativeness. Specifically, the study indicates that breadth has a positive effect but only in the presence of a strong appropriability regime, partner newness has a direct positive effect, and depth a direct negative effect. The authors also find that product innovativeness has a positive impact on product competitive advantage. Research limitations/implications Further research should focus on replicating the findings in other countries, search for further moderating factors, such as the stage of the NPD process, and analyse the longitudinal impact of openness within NPD projects. Practical implications Organisations are encouraging managers to be more open in their approach to NPD. The authors’ findings suggest that managers need to think about the three dimensions of openness, breadth, depth and partner newness. Their engagement with each of these dimensions depends on the desired outcomes of the innovation project and the strength of patents. Originality/value The research extends the extant supplier involvement in new product development literature to examine the effect of up to 11 types of external actor in NPD projects. The authors test a new multi-dimensional measurement scale for the openness construct. The authors show that each dimension has a different relationship with product innovativeness.


Author(s):  
Erik M. W. Kolb ◽  
Jonathan Hey ◽  
Hans-Ju¨rgen Sebastian ◽  
Alice M. Agogino

Metaphors have successfully been used by new product development and design teams to help frame the design situation and communicate new products to stakeholders. Yet, the process of finding a compelling metaphor often turns upon stumbling upon it or a flash of insight from a team member. We present Meta4acle: a Metaphor Exploration Tool for design that suggests possible metaphors to make the process more one of ‘seeking out’ than ‘stumbling upon’ an effective metaphor. The tool takes data about the project in the form of a title, domain and key associations required of the metaphor and returns suggestions from a database of possible metaphor sources. We built a Meta4acle prototype and evaluated it with positive results for three existing design case studies. We present plans for its full implementation and evaluation.


2020 ◽  
Vol 3 (1) ◽  
pp. 17-35
Author(s):  
Brian J. Galli

In today's fiercely competitive environment, most companies face the pressure of shorter product life cycles. Therefore, if companies want to maintain a competitive advantage in the market, they need to keep innovating and developing new products. If not, then they will face difficulties in developing and expanding markets and may go out of business. New product development is the key content of enterprise research and development, and it is also one of the strategic cores for enterprise survival and development. The success of new product development plays a decisive role both in the development of the company and in maintaining a competitive advantage in the industry. Since the beginning of the 21st century, with the continuous innovation and development of Internet technology, the era of big data has arrived. In the era of big data, enterprises' decision-making for new product development no longer solely relies on the experience of decision-makers; it is based on the results of big data analysis for more accurate and effective decisions. In this thesis, the case analysis is mainly carried out with Company A as an example. Also, it mainly introduces the decision made by Company A in the actual operation of new product development, which is based on the results of big data analysis from decision-making to decision-making innovation. The choice of decision-making is described in detail. Through the introduction of the case, the impact of big data on the decision-making process for new product development was explored. In the era of big data, it provides a new theoretical approach to new product development decision-making.


1997 ◽  
Vol 34 (1) ◽  
pp. 64-76 ◽  
Author(s):  
X. Michael Song ◽  
Mark E. Parry

The authors report the results from a three-year study of new product development practices in Japanese firms. They develop a causal model of factors correlated with new product success. They test the model using data collected on 788 new products developed and commercialized by Japanese firms in the past four years. The “best practices” identified in this study suggest that Japanese new product success is positively influenced by the level of cross-functional integration and information sharing, the firm's marketing and technical resources and skills, the proficiency of the new product development activities undertaken, and the nature of market conditions. Cross-functional integration and product competitive advantage are two key determinants of new product success. The authors also discuss managerial and research implications.


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