Central problems in the management of innovation
Management Science
Computational organization theory
Computational organization theory
Computational organization theory
Mastering the dynamics of innovation: how companies can seize opportunities in the face of technological change
Computational and mathematical organization theory: perspective and directions
Computational & Mathematical Organization Theory
Computational & Mathematical Organization Theory
Communications of the ACM
Designing Complex Organizations
Designing Complex Organizations
Organizations and Complexity: Searching for the Edge of Chaos
Computational & Mathematical Organization Theory
Measuring the Effectiveness of Overlapping Development Activities
Management Science
An Evaluation of Research on Integrated Product Development
Management Science
One Size Does Not Fit All Projects: Exploring Classical Contingency Domains
Management Science
Product Development Decisions: A Review of the Literature
Management Science
Computational Laboratories for Organization Science: Questions, Validity and Docking
Computational & Mathematical Organization Theory
Balancing and Rebalancing in the Creation and Evolution of Organizational Control
Organization Science
Strategic Management of Technological Innovation xxxxxxxxxxxxxxxxxxx
Strategic Management of Technological Innovation xxxxxxxxxxxxxxxxxxx
A Question of Legitimacy? A Dynamic Perspective on Multinational Firm Control
Organization Science
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This study examines how designing for product development influences project performance in distinct technological environments. Drawing on a series of computational experiments and paired-case comparisons of six product development projects, we specifically examine how new product development performance is affected by project design and the technological environment. By triangulating across the computational experiments and case studies, we find the existence of performance trade-offs in product development as well as the importance of performance priorities in influencing project design. These findings permit us to elaborate on existing contingency-based perspectives of new product development and put forward a novel mediating model. In this mediating model of product development, we suggest that the technological environment shapes performance priorities, which in turn influence project design and ultimately the performance outcomes of new product development efforts. This model further highlights that project designs can evolve as a function of performance outcomes, although this process can be inhibited by the presence of design evolution constraints. This research contributes significantly to our understanding of designing projects for new product development.