scholarly journals Dual Business Relationships, Opportunity Knowledge, and New Product Development: A Study on Returnee Young Ventures

2019 ◽  
Vol 27 (3) ◽  
pp. 26-42 ◽  
Author(s):  
Wensong Bai ◽  
Martin Johanson ◽  
Oscar Martín Martín
Keyword(s):  
Product Development ◽  
New Product Development ◽  
New Product ◽  
Dual Relationships ◽  
Business Relationships ◽  
Domestic Markets ◽  
Knowledge Based ◽  
Geographically Dispersed ◽  
Trade Offs ◽  
Research Opportunity

The effects on innovation of the dual embeddedness of returnee young ventures (RYVs) in both domestic and international networks of relationships and knowledge contexts are important for value creation, growth, and success of these firms and embody a unique research opportunity. Drawing on a framework combining a business relationship perspective and the knowledge-based view, the authors propose that RYVs take advantage of business relationships and opportunity knowledge from both international and domestic markets to nurture their innovation. They test their model on a sample of 200 RYVs in China. The findings reveal that business relationships are essential for acquiring knowledge about technological and business opportunities, though only international opportunity knowledge and domestic business relationships positively influence new product development. In addition, the interaction between international and domestic business relationships constrains firms’ capacity for obtaining international opportunity knowledge. This study offers insights into how the trade-offs between dual relationships and subsequently sourced knowledge contribute to new product development in emerging markets, and it extends the discussion on the paradox view of business relationships with geographically dispersed actors.

New Product Development

2010 ◽  
pp. 192-215
Author(s):  
Robert S. Friedman ◽  
Desiree M. Roberts ◽  
Jonathan D. Linton
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Development Process ◽  
New Product ◽  
Product Development Process ◽  
Second Phase ◽  
Trade Offs ◽  
The Many ◽  
And Control ◽  
Functional Areas

The articles addressed in this chapter on new product development can be classified in two general categories—papers that address the internal processes that assist or hinder development, and those that focus on factors that contribute to a new product’s success or failure in terms of performance and diffusion. We begin with Cooper and Kleinschmidt (1986), who report on the second phase of the New Prod project. Its goal was to examine the nature of the steps that affect the development process and determine how the step-wise structure was modified by the developer companies in order to improve process performance. Clark (1989) looks at project scope, or the extent to which in-house part development affects new product development and overall project performance. The new product development process, as a comprehensive scope of work, is the subject of Millison, Raj, and Wilemon’s (1992) discussion, specifically what the tensions and trade-offs are that occur among different functional areas and how they affect innovative product development. Wheelwright and Clark (1992) provide insight into strategies to plan, focus, and control a firm’s project development, offering an aggregate project plan that promotes management clearly delineating the roles and steps of each participant’s activities. Griffin and Page (1993) offer a practitioner’s framework that identifies and coordinates the many measures of product development success and failure, and holds them up against existing measures used by academic researchers. We then move to Souder’s (1988) article examining the relationship between R&D groups and marketing groups, the nature of the problems between them, and the structure of potentially effective partnerships.

The Differential Impact of New Product Development “Make/Buy” Choices on Immediate and Future Product Quality: Insights from the Automobile Industry

2017 ◽  
Vol 81 (6) ◽  
pp. 1-23 ◽  
Author(s):  
Kartik Kalaignanam ◽  
Tarun Kushwaha ◽  
Tracey A. Swartz
Keyword(s):  
Product Development ◽  
Product Quality ◽  
New Product Development ◽  
Automobile Industry ◽  
Positive Impact ◽  
New Product ◽  
The United States ◽  
Trade Offs ◽  
Using Data ◽  
The Impact

This article examines the impact of new product development (NPD) “make/buy” choices on product quality using data from the automobile industry. Although the business press has lamented that NPD outsourcing compromises product quality, there is no systematic evidence to support or refute this assertion. Against this backdrop, this study tests a contingency model of the impact of NPD make/buy decisions on immediate and future product quality. The hypotheses are tested using data on NPD make/buy choices of 173 models of 12 automobile firms in the United States between 2007 and 2014. The authors find that whereas NPD buy has a more positive impact on immediate product quality, NPD make has a more positive impact on future product quality. Furthermore, the immediate product quality impact of NPD buy is stronger when (1) technologies are more complex and (2) firm NPD capability is higher. In contrast, the future product quality impact of NPD make is stronger when (1) there is postlaunch adverse feedback and (2) firm NPD capability is higher. The study highlights the complex trade-offs associated with NPD make/buy decisions and offers valuable insights on how firms could manage these decisions.

scholarly journals A Complete MCDM Model for NPD Performance Assessment in an LED-Based Lighting Plant Factory

2018 ◽  
Vol 2018 ◽  
pp. 1-24
Author(s):  
Wen-Chin Chen ◽  
Yen-Fu Lin ◽  
Kai-Ping Liu ◽  
Hui-Pin Chang ◽  
Li-Yi Wang ◽  
...  
Keyword(s):  
Decision Making ◽  
Product Development ◽  
New Product Development ◽  
Crop Yields ◽  
Rapid Development ◽  
New Product ◽  
Fuzzy Decision Making ◽  
Trade Offs ◽  
Fuzzy Delphi ◽  
Plant Factory

Globally, industries and economies have undergone rapid development and expansion over the last several decades. As a result, global warming and environmental contaminations have resulted in climate change and jeopardized food security. In many developing countries, already decreasing crop yields are threatened by extreme weather and soil damaged by genetically modified food, making environmental problems worse and increasing food and organic product prices. For these reasons, this study proposes a hybrid multicriteria decision-making (MCDM) model for new product development (NPD) in the light-emitting diode- (LED-) based lighting plant factory. First, literature reviews and expert interviews are employed in constructing a list of decision-making objectives and criteria for new product development. Then, a fuzzy Delphi method (FDM) is used to screen the elements of the objectives and criteria, while a fuzzy decision-making trial and evaluation laboratory (FDEMATEL) is used to determine the relationships among the objectives and criteria. Finally, a fuzzy analytic network process (FANP) and a composite priority vector (CPV) are manipulated to determine the relative importance weights of the critical objectives and criteria. Results show that the proposed method can create a useful and assessable MCDM model for decision-making applications in new product development, and a case study is herein performed to validate the feasibility of the proposed model in a Taiwanese LED-based lighting plant factory, which not only provides the decision-makers with a feasible hierarchical data structure for decision-making guidance but also increases the competitive advantages of trade-offs on developing novel products.

Data management within new product development and collaborative engineering: a bibliometric and systemic analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arthur Larocca ◽  
Milton Borsato ◽  
Pablo Kubo ◽  
Carla Estorilio
Keyword(s):  
Product Development ◽  
Data Management ◽  
New Product Development ◽  
Big Data Analytics ◽  
New Product ◽  
Paradigm Shifts ◽  
Collaborative Engineering ◽  
Content Type ◽  
Systemic Analysis ◽  
Research Opportunity

Purpose Although organizations have more data than ever at their disposal, actually deriving meaningful insights and actions from them is easier said than done. In this concern, the main objective of this study is to identify trends and research opportunities regarding data management within new product development (NPD) and collaborative engineering. Design/methodology/approach Bibliometric and systemic analyses have been carried out using the methodological procedure ProKnow-C, which provides a structured framework for the literature review. A bibliographic portfolio (BP) was consolidated with 33 papers that represent the state of art in the subject. Findings Most recent researches within the BP indicate new trends and paradigm shifts in this area of research, tackling subjects such as the internet of things, cloud computing, big data analytics and digital twin. Research gaps include the lack of data automation and the absence of a common architecture for systems integration. However, from a general perspective of the BP, the management of experimental data is suggested as a research opportunity for future works. Although many studies have tackled data and collaboration based on computer-aided technologies environments, no study examined the management of the measured data collected during the verification and validation stages of a product. Originality/value This work provides a fresh and relevant source of authors, journals and studies for researchers and practitioners interested in the domain of data management applied to NPD and collaborative engineering.

THE IMPORTANCE OF INTER-TEMPORAL INTEGRATION IN NEW PRODUCT DEVELOPMENT

2016 ◽  
Vol 20 (03) ◽  
pp. 1650021
Author(s):  
YEOLAN LEE ◽  
WILLIAM I. MACKENZIE ◽  
ERIC A. FONG ◽  
J. DANIEL SHERMAN
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Cycle Time ◽  
Temporal Integration ◽  
Negative Relationship ◽  
New Product ◽  
Performance Measure ◽  
Codified Knowledge ◽  
Knowledge Based ◽  
A Performance

According to the knowledge-based view (KBV), knowledge is a valuable resource that can lead to a competitive advantage. However, in industries where codified knowledge is used in developing successive iterations of products, codified knowledge has the potential to become obsolete over time and thus can also be an impediment to innovation. Using cycle-time (competitor comparison) as a performance measure, we find that inter-temporal integration — organisational practices designed to transfer tacit knowledge between former and current employees in successive new product development projects (NPDS) — enables a firm to effectively utilize codified knowledge to enhance product development cycle-time performance. Furthermore, using dysfunctional design change frequency as a performance measure, we find that inter-temporal integration has a negative relationship to this variable, but the relationship is stronger when knowledge codification is high. The results provide evidence of an important boundary condition to the benefit of codified knowledge in new product innovation.

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