Resource configurations, product development capability, and competitive advantage: An empirical analysis of their evolution

2018 ◽  
Vol 85 ◽  
pp. 32-50 ◽  
Author(s):  
Haritha Saranga ◽  
Rejie George ◽  
Judith Beine ◽  
Ulli Arnold
2003 ◽  
Vol 13 (2) ◽  
pp. 38-41
Author(s):  
N. Sheridan ◽  
K. Smith ◽  
P. Gustavson

2009 ◽  
Vol 13 (02) ◽  
pp. 157-176 ◽  
Author(s):  
TATJANA SAMSONOWA ◽  
PETER BUXMANN ◽  
WOLFGANG GERTEIS

In today's challenging economic climate it is more important than ever for companies to acquire comparable competitive advantage in their market. While previous research has investigated the performance measurement of R&D as a whole organization, very little research has been done into the performance management for just the research function itself. This, however, is of particular interest to larger organizations. This paper (1) introduces a framework for performance measurement for industrial research, and (2) presents a set of clusters, representing the content dimension for measuring research organizations. Based on the clusters, we were able to evaluate the extent to which performance measurement in practice in different companies can be compared. We discovered that the clusters follow a particular consistent distribution across organizations when the clusters are ranked by importance. For this empirical analysis, data was collected through in-depth case studies including more than 60 interviews and thorough document analyses.


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.


2018 ◽  
Vol 26 (1) ◽  
pp. 19
Author(s):  
Krisztián Szabó

The importance of the “Ramp-up bridge” covering the gap between product development and serial production, as well as the speed at which this bridge can be crossed, has increased, providing companies with a significant competitive advantage.However, a significant percentage of project aiming to introduce new products do not achieve their goals. [(60 percent of the automotive supplier ramp-up projects fail on either the technical, or the economic side (Bischoff, 2007)].The author explores the possible reasons, then makes suggestions regarding the support of successful ramp-up projects, through practical examples taken from the industry. Through the continuous improvement of ramp-ups, a new core competency can be achieved, with a decrease in time-to-market. This core competency is difficult to duplicate, and can provide an additional competitive advantage for companies manufacturing products with high technical complexity.


2019 ◽  
Vol 10 (2) ◽  
pp. 75-86 ◽  
Author(s):  
Rita Ambarwati ◽  
Andre Saputro ◽  
Aditya Galih Fathurochman ◽  
As'ad Rizal

The research aimed to provide the solutions for the method of selecting product development strategies based on competitive advantage criteria including Quality, Cost, Delivery, Service, and Morale (QCDSM). The research was done in Micro, Small, and Medium Enterprises (MSMEs) of Ikat woven fabric in which the collecting data used questionnaires for the customers. The questionnaire was regarding the criteria for competitive advantage for MSMEs of Ikat woven fabric in Kediri. The analysis methods applied Importance-Performance Analysis (IPA) and Quality Function Deployment (QFD) based on the criteria of competitive advantage. The results show that the MSMEs of Ikat woven fabric should replace plastic materials into recyclable materials, ensure that raw materials do not contain dangerous and poisonous materials, choose coloring materials that do not contain dangerous and poisonous materials, choose the third parties to deliver products, weigh dye materials according to their composition and measurement, and utilize domestic raw materials.


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.


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