Sources, uses, and forms of data in the new product development process (original) (raw)
Related papers
Exploring Information Use in Detail in the New Product Development Process
2003
Conferences, we noticed that companies promoting information management support systems for product development processes occupied a large number of the vendor booths. Different systems included different types of information (project management, customer, market, financial, etc.), stored information in different ways (in databases versus in documents), and provided different retrieval options, such as from an internal firm site or from an external site on the web. From reviewing a number of these systems, it was unclear which one might be "the best" at helping firms manage information in the product development process. Indeed, it was not apparent that any of the systems had been developed based on a full investigation into the information needs for developing new products.
Towards a knowledge typology of new product development engineering processes
2004
In today's competitive and turbulent environment companies engaged in New Product Development (NPD) need tu have a sophisticated understanding of the types of knowledge critical to the each phase of the NPD process. These types of knowledge are used in so-called "stage-gate" NPD processes. This paper will describe a typical NPD stage-gate process and indicate the critical knowledge types needed at the different stages. The identification of the critical knowledge used at each stage was done by combining knowledge of the literature and practical experience of running NPD processes in an industrial setting. The different types of knowledge required a t different stages of the development process will he described and elaborated on. When providing knowledge management systems to support the NPD process, one needs to consider providing a system that can cater for knowledge that may take different forms. This research contributes to our understanding of the nature of those knowledge forms.
Usage Of Information Technology In New Product Development Process
International Journal of Scientific & Technology Research, 2018
Information technology‖ (IT) is used in this study to mean any computer, networking, storage, infrastructure, physical devices and software used to create, store, process, exchange and distribute any form of data. As there are advances in the capabilities of IT, companies and businesses involved in the creation of products leverage these capabilities to innovate and create new products. New product development (NPD) is a defined process for developing new products for the market and it is considered the primary step to making a product available to the market. To keep up with the market, firms must continue to innovate and develop new products to meet their customers' dynamic needs. To highlight Information Technology (IT) used in new product development (NPD) process, an empirical research by qualitative analysis, using semi-structured interview methodology was conducted with nine start-up product development leaders. A conceptual model for the use of IT in NPD was created based on scientific theoretical literatures and the NPD framework for defining the stages of the NPD process. The study revealed that dependence on IT in NPD increases along the NPD process and the complexity of the IT tools employed also increases, needing more expertise and knowledge to maximise their use. The study further indicated that the development methodology adopted by firms in their NPD activities informed the choice of IT tools they employed in the NPD process.
Journal of Product Innovation Management, 2011
In-depth interviews with product developers and product development software providers in a previous qualitative phase of research uncovered eight general types of information that are used across the new product development process (strategic, project management, financial, market and customer, wants and needs, technical, competitor, and regulatory information) and three general approaches to managing information in the process (project-centric, functionally oriented, and fully distributed). This paper presents a second phase of research trying to understand the role that managing knowledge and information plays in developing new products and achieving NPD success. This research phase empirically investigates use of the eight types of information across three general phases of the NPD process in the chemical industry using 81 mail survey responses from marketing and new product development professionals. Respondents were asked to indicate the degree to which each of the eight information types was used in each of the following general phases of new product development: the fuzzy front end, development, and testing and launch. The respondents also provided information on new product development success, information management system sophistication, and innovation strategy. This research makes several contributions to new knowledge. First, this research suggests that information management in product development is even more complex than initially posited in Zahay et al. (2004), with each of the eight types of information identified being used in each of the three phases of development. Unexpectedly, for all but one type of information use is higher in later stages of the NPD process, even though use of several kinds of information early in the project is associated with increased success. Thus, managers may need to encourage teams to start gathering information from outside the firm earlier than is currently the norm. Second, the results suggest that more sophisticated information management systems are indeed associated with increased use of various different types of information, as expected. Third, more sophisticated information management systems are more highly associated with success than less sophisticated information management systems. These results are important, as most new product development information management systems are limited in their ability to handle complex and non-quantitative information such as customer wants and needs, as well as strategic, competitor, and regulatory information. However, being able to transmit information on these issues is associated with increased firm performance and project success from these data. Thus, firms need to figure out how to improve their ability to manage and use non-quantitative information more effectively. Ã We are pleased to acknowledge the Institute for the Study of Business Markets for funding this research.
European Management Journal, 2005
Knowledge management methods need to be selected depending on the purpose for which knowledge is 'being managed'. In this article, purpose is considered in terms of encouraging knowledge creation in new product development (NPD) projects. Given that companies have started to deploy a number of knowledge management methods in support of NPD efforts, the central aim of this research is to investigate how ten such methods support knowledge creation during the development of new products. We provide evidence from a survey of 356 responses of members of 94 NPD projects on the utilization of (and satisfaction with) 14 knowledge management methods. The 10 highest rated knowledge management methods (in terms of satisfaction) are discussed in more detail, explaining how they operate to support knowledge creation in NPD projects, and illustrated with examples from companies such as ABB, Siemens, BP Amoco, Volkswagen, IBM, HP, and others. Moreover, we highlight ways to evaluate the contribution of such knowledge management methods.
Innovative Approaches towards Data Collection Process for New Product Development
ieeexplore.ieee.org
This paper examines different novel methods in today's internet technology dominated era to capture consumer inputs and inspirations to benefit the process of developing new goods and services till their placement in the market. Taking exploratory research and inductive approach based on literature view as the methodology, the paper compares and contrasts similarities and differences between traditional and non-traditional means of obtaining consumers' perceptions about future goods and services, and makes an attempt to define some qualities that companies lack regarding the adoption of internet-based means for generating new product ideas. Our findings reveal that internet-based methods, compared to traditional means, are more efficient in acquiring consumer insights for further usage in NPD process. The paper points out that the main problems that hinder the usage of internet-based methods are non-sensitive and non-enthusiastic management and incapable staff. And by highlighting these problems, the paper serves as guide for business managers to take appropriate approaches during data collection process for New Product Development.
The Role of Knowledge in Next-generation Product Development Systems
Journal of Computing and Information Science in Engineering, 2000
Information technology has played an increasingly important role in engineering product development. Its influence over the past decade has been accelerating and its impact in the coming decade will undoubtedly be immense. This paper surveys several research areas relating to knowledge representation, capture and retrieval, which will have a growing influence on product development. Each of these areas could, on its own, provide sufficient material for an entire survey paper. Unlike traditional survey papers, this paper does not attempt to provide a comprehensive review of a field of research from its inception to the present. Rather, this paper aims to touch on a representative selection of recent developments in these influential technical areas. The paper provides perspectives into the kinds of technologies that are emerging from rapidly expanding fields of research, and discusses challenges that must be overcome to enable transition of these technologies into industry practice t...
Knowledge-based new product development system
International Journal of Knowledge Management Studies, 2015
This research article proposes a knowledge-based new product development system which will play a major role in creative industries. The related literature review points out that the process of knowledge management (KM) based on a 'spiral' of knowledge creation (SECI process) affects the performance of new product development (NPD) because knowledge creation is considered to be a principal source of competitive advantage in organisations for the NPD process. The methodology of this research was conducted by literature review, expert interview, development of a conceptual model and process design, certification of the conceptual model and process design by qualified experts, development of a knowledge-based new product development system and user acceptance test. The research instrument contains an IOC (Index of Congruence) of interview questions, conceptual model-process design certification and user acceptance test. The collected data was analysed by content analysis through a triangulation technique with IOC evaluation. As a result, knowledge-oriented new product development model (KO-NPD model) as a conceptual model has been proposed. This discovery consists of: 1) plan and define, 2) product design, 3) clear concept, 4) proof of concept, 5) process design, 6) process validation, and 7) feedback. And then, the author proposes the process design, the system architecture, the functional structure and the knowledge-based new product development system. The findings in terms of their practical implications will be useful to organisations for improving their current processes of new product development when using the proposed system. The findings in terms of originality lead to the KO-NPD model to improve the quality of new product development.
Industrial challenges in managing product development knowledge
Knowledge-Based Systems, 2014
To systematically create and share product development knowledge creates challenges for engineering companies. This paper presents an extensive study regarding the process of identifying such challenges in managing product development knowledge from the perspective of designers and engineers. This research is part of the LeanPPD, a project funded by the EU-PF7 (www.leanppd.eu), to address the need of European manufacturing companies for a new model, which extends beyond lean manufacturing and incorporates lean thinking into the product design and development process. A rigorous research methodology has been employed, which included the use of questionnaires and focused interviews with key informants from industry, involving forty two product development engineers from nine different companies. The most significant concerns raised during the study concerned knowledge life cycle activities, product development environment and management. Thirty eight challenges were identified, classified and discussed in order to provide the knowledge management community with practical evidence, and also to inform future research directions in managing product development knowledge.