Adopting a contingency perspective, the authors present and test a fit-as-moderation model that posits that overall firm performance is influenced by how well the marketing organization's structural characteristics (i.e., formalization, centralization, and specialization) and strategic behavioral emphases (i.e., customer, competitor, innovation, and cost control) complement alternative business strategies (i.e., prospector, analyzer, low-cost defender, and differentiated defender). Responses from 228 senior marketing managers provide support for the model and demonstrate that each strategy type requires different combinations of marketing organization structures and strategic behaviors for success.
While the benefits of being market oriented are largely accepted, a group of scholars and managers remain skeptical. Marketing scholars have sought to counter the criticisms leveled against market orientation (MO) by arguing that it has both responsive and proactive dimensions. However, few studies have empirically examined the complexity of the effects of these dimensions on firm performance. Drawing on theories of resource-based advantage and organizational search behavior, this article advances understanding by arguing that responsive and proactive market orientations have curvilinear effects on product development performance, that their interaction may be positively related to product development performance, and that their effects on new product program performance are moderated differentially by the organizational implementation conditions and marketing function power. Survey results of 175 U.S. firms indicate support for most of the hypotheses. Specifically, whereas responsive MO has a U-shaped relationship with new product program performance, proactive MO has an inverted U-shaped relationship with new product program performance. Contrary to the arguments presented here, the interaction of both orientations is negatively related to new product program performance. This study finds that both orientations are needed; however, new product program performance is enhanced when one is at higher level and the other is at lower level. Finally, responsive MO is only positively related to new product program performance under specific conditions such as when strategic consensus among managers is high. On the other hand, the positive effect of proactive MO on new product program performance is further strengthened when learning orientation and marketing power are high. Overall, this study suggests that the effects of responsive and proactive MO on new product program performance are more complex than previously theoretically argued and empirically examined.
Successful new product development is fundamentally a multidisciplinary process. While this view has helped lead management to the wide‐spread adoption of cross‐functional new product development teams, in this study we question whether simply increasing the level of functional integration is truly a guarantee for enhancing the performance of new products. To assess this we examined patterns of cooperation between marketing, R&D, and operations at both early and late stages of the new product development process for 34 recently developed products whose level of innovativeness ranged from high to low. A unique feature of this study is that data were collected from four sources for each project. This included personal interviews with a project leader and written surveys from marketing, operations, and R&D personnel on each project.
Findings from this study reveal that: (1) functional cooperation typically increases as the process moves from early to late stages; (2) cooperation between marketing and R&D is highest during early stages of the process, but for marketing and operations, and for R&D and operations, cooperation typically increases as the process moves from early to late stages; (3) higher project performance — irrespective of the level of project innovation — is demonstrated when cooperation between marketing and R&D, and cooperation between operations and R&D is high during early stages; (4) late stage cooperation between marketing and operations, and R&D and operations is a key determinant in project performance for innovative products but not for noninnovative products, and; (5) that early stage cooperation between marketing and operations is associated with superior performance for low innovation projects but is also associated with poor performance for innovative projects.
Findings from this study demonstrate that the importance of cooperation between specific functional dyads (i.e., marketing — R&D; R&D — operations; operations ‐ marketing) indeed varies by time (i.e., early vs. late stages), and by the level of innovativeness (i.e., new‐to‐the‐world vs. modifications) associated with the new product being developed.
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