PSS and Innovation of Meaning

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Satoru GOTO
Keyword(s):  
New Product Development ◽  
Cognitive Processes ◽  
Product Life Cycle ◽  
Positive Emotion ◽  
New Product ◽  
Intended Meaning ◽  
Product Service ◽  
Ankle Foot Orthoses ◽  
The Relationship ◽  
Product Service Systems

This study explores the relationship between product meaning and product service systems (PSSs), in the context of innovation of meaning (IoM). Existing IoM studies have focused on intended meaning (as defined in new product development) and ignored the received meaning that users reconstruct throughout an entire product life cycle. The process by which a user assigns meaning to things can be not only static but also dynamic. This study focuses on PSSs as comprising integrated products and contexts offered by services, and analyses the case of Japan’s largest manufacturer of ankle–foot orthoses, which is an assistive product. The results show that PSSs help users reconstruct meanings in dynamic cognitive processes; PSSs also help users leverage metaphors that contribute to consistency between products and services. Additionally, the positive emotion elicited from users by novel meanings can help augment profits by promoting the sale of related products and services.

New Product Development Based on Knowledge Creation and Technology Education

2010 ◽  
pp. 148-163 ◽  
Author(s):  
Haris Papoutsakis
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
Technology Education ◽  
New Product Development ◽  
Knowledge Creation ◽  
Product Life Cycle ◽  
New Product ◽  
Industrial Companies ◽  
The Individual ◽  
The Relationship

The aim of this chapter is to investigate if and to what extend the process of New Product Development, today, is based on Knowledge Creation and Technology Education. The value chain and the way it allows the company to achieve and sustain competitive advantage is used, in this chapter, in a way that facilitates the exploration of the relationship between technology and competitive advantage. This is done under the competence-based perspective of the organization, where knowledge is the point of departure and the individual – in this case the industrial employee– the relevant unit of analysis. With knowledge and knowledge creation being the reference point, their influence on new products and on the product life cycle has been investigated. The significance of the technology education background of each individual has also been examined in an effort to determine whether there is a need to strengthen Technology Education in existing national curricula. Surveys collected from 486 employees, of 51 industrial companies in Spain, were analyzed in order to test our hypothesis. The results of this study support our main hypothesis and allow us to draw conclusions on the significance of the relationship under investigation.

Improving new product development performance by risk management

2016 ◽  
Vol 31 (3) ◽  
pp. 418-425 ◽  
Author(s):  
Mehran Salavati ◽  
Milad Tuyserkani ◽  
Seyyede Anahita Mousavi ◽  
Nafiseh Falahi ◽  
Farshid Abdi
Keyword(s):  
Risk Management ◽  
Product Development ◽  
New Product Development ◽  
Small Sample Size ◽  
New Product ◽  
Small Sample ◽  
Content Type ◽  
Total Performance ◽  
The Relationship ◽  
Npd Performance

Purpose The principal aim of this study is to investigate the relationship between technological, marketing, organizational and commercialization risk management on new product development (NPD) performance. Design/methodology/approach Based on questionnaire, the data were collected from a sample of general automotive industry in Iran. Based on theoretical considerations, a model was proposed and descriptive statistic and hierarchical regression were used to measure the relationship between risk management factors and NPD performance. Findings Data analysis revealed that if organization can amplify their knowledge and information about risk and main factors that affect NPD process, not only can they do their work better but can also increase their ability to predict future happenings that affect performance. Research limitations/implications First, due to the relatively small sample size, caution should be exercised when interpreting the results. Second, the data were collected from automotive producer in Iran, which may restrict to some extent generalizability of the findings. Practical implications The results suggest that managers should consider more attention to risk management. If managers spread the risk management in all aspects of the NPD project, total performance will be increased and it can develop the probability of NPD success. Also organizations should perform great market research due to best commercialization. Originality/value Past researches have presented complete information about NPD process. But identifying and considering the effect of the risk management parameters that are connected to the NPD process were the main thrusts to perform the study. In this paper, based on past research about risk management of NPD, the extra aspect of process that can improve total performance of NPD has been examined.

scholarly journals Product Portfolio Management: An Important Business Strategy

2015 ◽  
Vol 7 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Mishelle Doorasamy
Keyword(s):  
Decision Making ◽  
Product Development ◽  
New Product Development ◽  
Portfolio Management ◽  
Business Strategy ◽  
New Product ◽  
Product Portfolio ◽  
Historical Developments ◽  
Statistical Trends ◽  
The Relationship

Abstract The aim of this article is to provide reader with a comprehensive insight on the theories, empirical findings and models of Product Portfolio Management (PPM) during new product development. This article will allow for an in-depth theoretical approach on PPM and demonstrate to managers the importance of adopting PPM as business strategy during decision making. The objective of this paper is to present a literature review of models, theories, approaches and findings on the relationship between Product Portfolio Management and new product development. Relevant statistical trends, historical developments, published opinion of major writers in this field will be presented to provide concrete evidence of the problem being discussed.

The effects of social capital on knowledge heterogeneity

2019 ◽  
Vol 57 (5) ◽  
pp. 1237-1253 ◽  
Author(s):  
Fu-Sheng Tsai ◽  
I-Chieh Hsu
Keyword(s):  
Social Capital ◽  
New Product Development ◽  
New Product ◽  
Shared Vision ◽  
Three Dimensions ◽  
Content Type ◽  
Negative Impacts ◽  
The Relationship ◽  
Epistemological Dimension

Purpose The purpose of this paper is to examine the influences of social capital on knowledge heterogeneity in order to advance the understanding of the effects and to reconcile existing inconsistent findings. Design/methodology/approach Survey data collected from 105 new product development (NPD) projects were analyzed with regression-based methods. Findings The results indicated that trust, centralization and shared vision as the three social capital dimensions generally have negative impacts on the domain and presentation dimensions of knowledge heterogeneity. However, the three dimensions of social capital do not exhibit consistent influences on the tacitness heterogeneity (i.e. an epistemological dimension of knowledge heterogeneity). Research limitations/implications More research is needed to explore the role of social capital dimensions in developing a range of knowledge attributes of NPD teams, among which knowledge heterogeneity is one. The various dimensions of knowledge an NPD team possesses should have performance implications and deserve future investigation. Originality/value The study is one of the first documented attempts to demonstrate contingencies in the relationship between social capital and knowledge heterogeneity. The effect of social capital on knowledge heterogeneity should be understood at the level of dimensions of the two respective constructs.

Platform Strategy for New Product Development

2020 ◽  
pp. 123-143
Author(s):  
Sang-Wuk Ku
Keyword(s):  
Product Development ◽  
New Product Development ◽  
New Product ◽  
Mediating Effect ◽  
Hierarchical Regression ◽  
Product Platform ◽  
Mediating Role ◽  
Platform Leadership ◽  
The Relationship

This chapter proves the mediating effect of product platform strategies on the relationship between a firm's subject, environment, and resources and the performance of new product development in the perspective of platform leadership. The author analyzed the mediating role of product platform strategy by considering CEO propensity, competition and customers, and competitiveness of retained resources. Compared to the past, in the perspective of platform leadership, the product platform strategy has a critical effect on the relationship between the business scope of a platform leader, the external relationship with complementors, and the internal organization of a platform leader impact on the performance of new product development. As a result of hierarchical regression analysis with the data of Korean high technology companies, the product platform strategy would be mediating the relationship between the antecedents such as CEO propensity, competition and customers, and competitiveness of retained resources and NPD performance.

How organizational structure and strategic alignment influence new product success

2020 ◽  
Vol 58 (1) ◽  
pp. 182-200
Author(s):  
Yung-Chang Hsiao ◽  
Ming-Ho Wu
Keyword(s):  
New Product Development ◽  
Information Service ◽  
New Product ◽  
Product Performance ◽  
Curvilinear Relationship ◽  
Content Type ◽  
Product Success ◽  
New Product Performance ◽  
The Relationship

Purpose The purpose of this paper is to review and re-examine the role of the organization-level determinants from the perspectives of competence-based views. Design/methodology/approach Regression analysis was used to test the hypotheses in a sample of 80 cases drawn from a population of the top 5,000 Taiwanese firms listed in the yearbook published by the China Credit Information Service Incorporation. Findings The empirical results indicate that formalization is positively related to new product performance while decentralization has an inverse U-shaped curvilinear effect on new product performance. Furthermore, the regression findings also indicate that market-oriented strategy negatively moderates the relationship between formalization and new product performance, while technology-oriented strategy positively moderates the curvilinear relationship between decentralization and new product performance. Originality/value Extant literatures have paid attention to investigating the determinants to the performance of the new product development, but some of the results, such as in the organizational levels, are confusing and mixed. Contrary to previous works, the purpose of this paper is to review and re-examine the role of the organization levels determinants from the perspectives of competence-based view.

The Prototyping Behaviors of Startups: Exploring the Relationship Between Prototyping Behaviors and Startup Strategies

2019 ◽  
Vol 142 (3) ◽  
Author(s):  
Jacob Nelson ◽  
Tobias Mahan ◽  
Christopher McComb ◽  
Jessica Menold
Keyword(s):  
Cluster Analysis ◽  
Best Practices ◽  
New Product Development ◽  
New Product ◽  
High Performing ◽  
Novel Technologies ◽  
Perceived Difficulty ◽  
Survey Responses ◽  
The Relationship ◽  
Crucial Part

Abstract Prototyping is a crucial part of new product development, and engineers and designers rely on prototyping to bring novel technologies to market. In recent years, tech-based startups like Tesla or Udacity have revolutionized their respective industries. However, many tech-based startups are unable to create a viable product with their available resources and fail before ever making it to market. In this work, we analyze survey responses from 34 startup representatives to investigate the relationship between prototyping practice, startup success, and perceived difficulty of startup tasks. K-means cluster analysis shows three distinct groups, differentiated by (1) their amount of available funding, (2) their use of prototyping best practices, and (3) their reported difficulty in startup tasks. High-performing startups reported having the highest funding, experiencing less difficulty in startup tasks, and using prototyping best practices more frequently than their peers.

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