Effects of marketing-manufacturing integration on new product development time and competitive advantage

2006 ◽  
Vol 25 (1) ◽  
pp. 203-217 ◽  
Author(s):  
Morgan Swink ◽  
Michael Song
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
New Product Development ◽  
Development Time ◽  
New Product

scholarly journals A multi-dimensional approach for managing open innovation in NPD

2017 ◽  
Vol 37 (10) ◽  
pp. 1366-1385 ◽  
Author(s):  
Hanna Bahemia ◽  
Brian Squire ◽  
Paul Cousins
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
New Product Development ◽  
New Product ◽  
Three Dimensions ◽  
Longitudinal Impact ◽  
Product Innovativeness ◽  
Content Type ◽  
The Impact ◽  
Positive Effect

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.

Application of Statistical Analysis Tools and Concepts to Big Data and Predictive Analytics to New Product Development

2020 ◽  
Vol 3 (1) ◽  
pp. 17-35
Author(s):  
Brian J. Galli
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analysis ◽  
Product Development ◽  
Competitive Advantage ◽  
New Product Development ◽  
New Product ◽  
Big Data Analysis ◽  
Life Cycles ◽  
The Impact

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.

How to reduce new product development time

2004 ◽  
Vol 20 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Janez Kus̆ar ◽  
Joz̆e Duhovnik ◽  
Janez Grum ◽  
Marko Starbek
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Development Time ◽  
New Product

Specialist knowledge identification, classification, and usage in company-specific new product development processes

2007 ◽  
Vol 221 (8) ◽  
pp. 1285-1298 ◽  
Author(s):  
M S Cross ◽  
S Sivaloganathan
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
New Product Development ◽  
New Product ◽  
Development Project ◽  
Complex Process ◽  
Project Organizations ◽  
Development Processes ◽  
Specialist Knowledge ◽  
Knowledge Identification

New product development is a complex process that requires industry-specific knowledge to produce commercially viable solutions, and it is this specialist knowledge that enables organizations to develop competitive advantage in their marketplaces. This research, conducted over 3 years at a UK capital equipment manufacturer, investigated the role of specialist knowledge in the design and development of products. The study concluded that, although different knowledge components are required for different projects, it is possible to adopt a generic approach to specialist knowledge identification, classification, and usage in new product developments. The current paper presents five methods that were used to identify specialist knowledge from engineering projects. The knowledge was then classified into ten categories that describe the specialist knowledge types used during commercial design projects. A model is presented illustrating when each specialist knowledge category is required in a typical development project. Organizations can use this approach to capture and structure the specialist knowledge components for a given product type, thus making available the knowledge to the wider organization and improving the organization's competitive advantage. The study was conducted as part of a project ‘Developing company-specific design models’, described in an earlier work.

Strategic sensing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
Case Studies ◽  
New Product Development ◽  
Reading Time ◽  
New Product ◽  
Content Type ◽  
Pertinent Information ◽  
Practical Implications ◽  
Critical Consideration

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.

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