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The Role of Market and Technical Information Generation in New Product Development
Author(s) -
Cui Anna Shaojie,
Xiao Yazhen
Publication year - 2019
Publication title -
journal of product innovation management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.646
H-Index - 144
eISSN - 1540-5885
pISSN - 0737-6782
DOI - 10.1111/jpim.12479
Subject(s) - new product development , business , industrial organization , product (mathematics) , marketing , knowledge management , computer science , geometry , mathematics
Firms are investing an increasing amount of time and resources to gather information about market and technology in new product development (NPD). Yet there is a lack of consistent understanding of whether such costly information generation activities can improve product outcomes. More importantly, it is unclear how the benefit of market information and technical information generation may differ and how they may jointly impact new product performance. This study examines the role of market and technical information generation in NPD in three ways: (1) It contrasts the effects of market and technical information generation on product outcomes; (2) it identifies conditions that moderate the effects of market and technical information generation and further investigates how the moderating effects differ for these two types of activities; and (3) it examines the joint effect of market and technical information generation to understand potential synergies between them. Using survey data at the NPD project level, we find that market information generation has an inverted U‐shaped effect on new product advantage, whereas the effect of technical information generation follows a U‐shape. Furthermore, these effects are moderated differently by two conditions: a firm’s R&D intensity that influences NPD projects’ need for different types of information, and the use of multidisciplinary teams that affects the degree to which information can be shared and utilized to improve product design. The findings provide important implications for organizational learning and shed light on how to manage information generation activities to achieve NPD success.