Market Knowledge Dimensions and Cross-Functional Collaboration: Examining the Different Routes to Product Innovation Performance

By Luigi M. De Luca, Kwaku Atuahene-Gima. 2007

1,138 citations recorded by the source corpus.

There is consensus in the marketing literature that market knowledge and cross-functional collaboration are two fundamental resources for successful product innovation. However, few studies examine the dimensions or characteristics of market knowledge and how and why these resources influence product innovation performance. Drawing on contingency theory and the knowledge-based view of the firm, the authors argue that knowledge integration mechanisms may account for the effects of market knowledge dimensions (i.e., breadth, depth, tacitness, and specificity) and cross-functional collaboration on product innovation performance. They find that market knowledge specificity and cross-functional collaboration affect product innovation performance through knowledge integration mechanisms. In contrast, whereas the effect of market knowledge depth is partially mediated, market knowledge breadth has a direct, unmediated effect on product innovation performance. A test of an alternative moderating perspective shows that the effects of market knowledge depth and cross-functional collaboration on product innovation are negatively moderated by knowledge integration mechanisms. By showing the differential effects of market knowledge dimensions on product innovation performance, the authors provide a more refined understanding of the interplay among market knowledge, its integration, and the firm's performance in product innovation. The authors also conclude that by overlooking the role of knowledge integration mechanisms, previous research may have provided an overly optimistic view of the value of cross-functional collaboration in product innovation.

Subfields: Computer Science Applications, Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/1fdea5e99f7f7125b9b47a19dc104874fc98369c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

  1. Paul H. Driessen
  2. Yazhen Xiao
  3. D. Henard
  4. Chengli Shu
  5. Dirk De Clercq
  6. Dimo Dimov
  7. Y. Wu
  8. Shanxing Gao

In Sociology and Political Science

  1. Paul H. Driessen
  2. Yazhen Xiao
  3. D. Henard
  4. Chengli Shu
  5. Dirk De Clercq
  6. Dimo Dimov
  7. Y. Wu
  8. Shanxing Gao

In Strategy and Management

  1. Dirk De Clercq
  2. Dimo Dimov
  3. Narongsak (Tek) Thongpapanl
  4. Paul H. Driessen
  5. Yazhen Xiao
  6. D. Henard
  7. Chengli Shu
  8. Margarida Vicente

Citations in the corpus