ANTECEDENTS AND CONSEQUENCES OF IPPD EFFECTIVENESS

2017 ◽  
Vol 21 (07) ◽  
pp. 1750059 ◽  
Author(s):  
RUPAK RAUNIAR ◽  
GREG RAWSKI ◽  
DONALD HUDSON

Team is the primary mechanism through which product development projects are executed. Despite regular theoretical discussions on the importance of cross-functional team and concurrent engineering to improve new product development projects, empirical studies on consequence of integrated product and process development (IPPD) effectiveness on teamwork is largely missing in existing product development literature. IPDD projects execute concurrent activities that go through several iterations before the deliverable of each stage are finalised. Based on information processing theory and goal-setting theory for team, this study hypothesise shared project mission, clarity of the project target, and customer and supplier involvement positively influences effectiveness of IPPD project. We further hypothesise that such effective IPPD leads to teamwork which can have a positive impact on project performance in terms of product development cost, product development time, and customer satisfaction. Primary data collected from 191 IPPD projects from U.S. automotive industry were analysed using structural equation modelling technique. All the hypotheses representing antecedents of effective IPPD and the consequence of effective IPPD were found to be supported in the current study.

Author(s):  
Sudeshna Roy ◽  
Pranab K. Dan ◽  
Nipu Modak

The necessity of new product development (NPD) in the global competition is a well-established fact. Imperativeness of research and development (R&D) practices and product development process (PDP) in NPD are inevitable. In case of R&D practices, fuzzy-front-end (FFE) activities and improvisation are the two sub-factors which are not directly related to R&D but motivate it indirectly with their actions. For PDP, modular product development (MPD) and market analysis are recognized as the factors directly influencing the PDP of the firm for NPD success. This chapter considers product quality and technological developments as performance attributes for development of comprehensive framework by structural equation modeling (SEM) approach. Primary data from 263 experts of Indian manufacturing industries has been collected for analysis purpose. This empirical research portrays the role of R&D practices along with its indirectly related success factors for effectively controlling PDP along with its sub-factors for developing high quality products with technological developments.


2021 ◽  
Vol 13 (21) ◽  
pp. 12159
Author(s):  
Tena Žužek ◽  
Žiga Gosar ◽  
Janez Kušar ◽  
Tomaž Berlec

In order to survive in today’s highly competitive global market, small and medium-sized enterprises (SMEs) have had to transition from sequential to concurrent product development, which significantly shortens development cycles, reduces costs, and ensures high product quality. Despite its many benefits, concurrent product development is still based on detailed upfront planning and cannot address the challenges related to today’s ever-growing uncertainty, constantly changing environment, and unstable requirements. A potential solution to this problem could be in more flexible and value-driven agile project management (APM) approaches, typical of software development. In this paper, we propose a new product development model specifically appropriate for SMEs that combines concurrent product development principles with APM elements. It is designed as a loop of five repetitive steps (macroplan, microplan, iteration activities, review, and retrospective) that are being executed within individual concurrent development loops. The application of the model is presented on a real case example of process development and small batch manufacture of a complex wiring harness. The study reveals many benefits of the proposed model, such as improved communication, faster detection of discrepancies, more effective problem solving, and greater flexibility. A positive impact on project success is also observed.


2020 ◽  
Vol 4 (4) ◽  
pp. 55-74
Author(s):  
Faqeer Muhammad ◽  
Kifayat Ullah ◽  
Rehmat Karim

This study aims to explore the influence of Natural Resources and Environment (NRE), Politico-Economic Conditions (PEC) on Tourist Behavioral Intension (TBI) in Hunza, Pakistan. The study further investigates the mediating role of Tourist Satisfaction (TS) on the given variables. Partial Least Square Structural Equation Modeling (PLS-SEM) technique has been applied to conceptualize the research frame and to test the proposed hypotheses. Primary data was collected by using convenient sampling technique for analysis from 220 tourists who visited tourism nucleus sites of Hunza. The finding of the study reveals that Natural resources and Environment, Politico-and Economic Conditions have a significant positive impact on Tourist’s Behavioral Intensions. Moreover, Tourist’s Satisfaction partially mediates the positive relationships among Natural Resources and Environment, Political & Economic Conditions and Tourist’s Behavioral Intensions. The findings of the study extend the understanding that presence of natural resources along with healthy environment and stable political & economic conditions of a destination are the key determinants for sustainable tourism development.


2017 ◽  
Vol 14 (06) ◽  
pp. 1750040 ◽  
Author(s):  
Nnaemeka Vincent Emodi ◽  
Girish Panchakshara Murthy ◽  
Chinenye Comfort Emodi ◽  
Adaeze Saratu Augusta Emodi

This study investigates the factors influencing the Chinese manufacturing industry’s innovation and industrial performance utilizing a panel data approach on a sample of Chinese manufacturing enterprises over the period of 2008–2013. The industries were grouped according to related sectors into five groups, a general group was also created which included the whole data sample. The study found that research and development (R&D) expenditure positively influenced the growth of product innovation and industrial performance, but not necessarily knowledge innovation and export performance. Also, expenditure on new product development had a positive impact on both innovation and industrial performance. The growth of patent application was discovered to be influenced by an R&D project and foreign patent license. Finally, the number of enterprises and firm size (i.e. number of employees) contributed positively to the industrial output performance. The findings suggest that industrial R&D and new product development influences the success of product innovation and sales performance. The study recommends that the government should set up policies that will stimulate industrial R&D, while supporting technology transfers from foreign partners. Most importantly, government policies on the development of the industry should be addressed on a sectorial level and not a “one-size-fit-all” type of policy.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hao Shen ◽  
Yu Gao ◽  
Chuan Liu ◽  
Xiangru Chen

Purpose Integrating the coopetition perspective with institutional theory, this study aims to determine how balanced patterns (BPs) and combinative patterns (CPs) of coopetition impact firms’ new product development (NPD) and how these effects are contingent on the various types of interactions between firms and the institutional environments in which they are embedded. Design/methodology/approach To test the hypotheses, 303 firms in China were surveyed. Based on the responses, the proposed model was estimated using structural equation modeling and hierarchical regression analysis. Findings The findings indicate that CP of coopetition enhances NPD but a BP of coopetition impedes NPD. Further, the results suggest that obtaining government support positively moderates the effect of the CP on NPD but negatively moderates the effect of the BP. Conversely, influencing government policy negatively moderates the effect of the CP but positively moderates that of the BP on NPD. Research limitations/implications The findings indicate that different patterns of inter-firm coopetition may have different effects on NPD, thus, providing a holistic and dynamic understanding of the contingent value of coopetition for NPD. The findings also suggest that the complex effects of coopetition on NPD are influenced by institutional interactions, introducing further contingencies to the process of coopetition-based innovation. Practical implications This study provides guidelines for managers seeking to fully understand and capitalize on the dual nature of coopetition: they should be cautious about the different patterns of competition – cooperation interaction and manage their interactions with institutional environments to increase the benefits and avoid the potential damage that different types of coopetition may bring. Originality/value This study offers direct insights into the balanced nature of coopetition and opens up an avenue for further exploration of the specific effects of cooperation dominance and competition dominance on firm performance in the business-to-business context. Moreover, the proposed contingency model offers a potential interface between institutional and coopetition research on NPD in marketing and strategic fields.


2012 ◽  
Vol 452-453 ◽  
pp. 253-257 ◽  
Author(s):  
Li Lin ◽  
Xian Sheng Ran ◽  
Tian Hong Luo

This study extends the new product development (NPD) to a new field; Market Driving Digital New Product Development Method is addressed in this paper, which is based on reverse engineering and rapid prototyping technology. This study finds that the higher the effort on marketing-R&D process, the less possible it might encounter risk. Thus, a better NPD performance can be achieved by market driving Digital NPD method (MDDNPD).A case study of All-Terrain Vehicle (ATV) is used to illustrate the new method. We believe that the proposed methodology will have a positive impact on the future new product development.


2017 ◽  
Vol 21 (5) ◽  
pp. 1035-1052 ◽  
Author(s):  
David T. Rosell ◽  
Nicolette Lakemond ◽  
Lisa Melander

Purpose The purpose of this paper is to explore and characterize knowledge integration approaches for integrating external knowledge of suppliers into new product development projects. Design/methodology/approach This paper is based on a multiple, in-depth case study of six product development projects at three knowledge-intensive manufacturing firms. Findings Firms make purposeful choices to devise knowledge integration approaches when working in collaborative buyer – supplier projects. The knowledge characteristics of the supplier input guide the choice of either coupling knowledge sharing and combining across firms or decoupling knowledge sharing (across firms) and knowledge combining (within firms). Research limitations/implications This study relies on a limited number of case studies and considers only one supplier relationship in each project. Further studies could examine the challenge of knowledge integration in buyer – supplier relationships in different contexts, i.e. in relation to innovation complexity and uncertainty. Practical implications Managers need to make choices when designing knowledge integration approaches in collaborative product development projects. The use of coupled and decoupled approaches can help balance requirements in terms of joint problem-solving across firms, the efficiency of knowledge integration and the risks of knowledge leakage. Originality/value The conceptualization of knowledge integration as knowledge sharing and knowledge combining extends existing perspectives on knowledge integration as either a transfer of knowledge or as revealing the presence of pertinent knowledge without entirely transmitting it. The findings point to the complexity of knowledge integration as a process influenced by knowledge characteristics, perspectives on knowledge, openness of firm boundaries and elements of knowledge sharing and combining.


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