Product development team formation: effects of organizational- and product-related factors

Although the performance of new product development (PD) is dependent on the structure and formation of design teams, effective configuration of the PD teams remains largely unexplored. According to social network research, teams are often organized in either closely connected or sparse structure. We conceptualize PD projects as collective problem-solving endeavors and develop a computational model of these projects where a number of designers conduct search over an NK(C) performance landscape. We group the designers in teams with closely connected or sparse structure. We also consider various organizational integration capabilities (i.e., coordinated operations, and common principles) as well as interaction networks among the teams (i.e., acyclical, cyclical, and modular). We use simulation and compare the design performance of teams with different configurations. Our results indicate that the extent by which organizations can effectively integrate design solutions determines the team structure and is likely to result in higher development performance. In addition, the design performance of strategies that employ both closely connected and sparse teams is contrasted with the strategies that use either of these structures. Regardless of the integration capabilities of the PD projects, strategies that simultaneously utilize both closely connected and sparse teams are likely to achieve higher development performance than strategies that only use teams with one particular structure.

[1]  Christoph H. Loch,et al.  Problem - Solving Oscillations in Complex Engineering Projects , 2003, Manag. Sci..

[2]  Jan W. Rivkin,et al.  Patterned Interactions in Complex Systems: Implications for Exploration , 2007, Manag. Sci..

[3]  Wallace J. Hopp,et al.  In‐House Globalization: The Role of Globally Distributed Design and Product Architecture on Product Development Performance , 2011 .

[4]  Alan MacCormack,et al.  Exploring the Duality between Product and Organizational Architectures: A Test of the Mirroring Hypothesis , 2011 .

[5]  Robert P. Smith,et al.  Identifying Controlling Features of Engineering Design Iteration , 2015 .

[6]  C. Gilbert Unbundling the Structure of Inertia: Resource Versus Routine Rigidity , 2005 .

[7]  Ray Reagans,et al.  Network Structure and Knowledge Transfer: The Effects of Cohesion and Range , 2003 .

[8]  Teresa M. Amabile,et al.  Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain , 2017, Academy of Management Journal.

[9]  M. Tushman,et al.  On the Organizational Determinants of Technological Change: Towards a Sociology of Technological Evolution , 1992 .

[10]  Franck Marle,et al.  Assembling Creative Teams in New Product Development Using Creative Team Familiarity , 2013 .

[11]  David Lazer,et al.  The Network Structure of Exploration and Exploitation , 2007 .

[12]  Stefan H. Thomke,et al.  The Role of Flexibility in the Development of New Products , 1997 .

[13]  Edward G. Anderson,et al.  Integration of Global Knowledge Networks , 2013 .

[14]  Ali A. Yassine,et al.  Characterizing complex product architectures , 2004, Syst. Eng..

[15]  Bradley R. Staats,et al.  Dynamically Integrating Knowledge in Teams: Transforming Resources into Performance , 2011 .

[16]  Oliver Baumann,et al.  Dealing with Complexity: Integrated vs. Chunky Search Processes , 2011, Organ. Sci..

[17]  B. Uzzi,et al.  Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness , 1997 .

[18]  Alan MacCormack,et al.  Exploring the Structure of Complex Software Designs: An Empirical Study of Open Source and Proprietary Code , 2006, Manag. Sci..

[19]  Karl T. Ulrich,et al.  Idea Generation and the Quality of the Best Idea , 2009, Manag. Sci..

[20]  Weinberger,et al.  Local properties of Kauffman's N-k model: A tunably rugged energy landscape. , 1991, Physical review. A, Atomic, molecular, and optical physics.

[21]  Daniel A. Levinthal,et al.  ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .

[22]  Mohan V. Tatikonda,et al.  Integrating Operations and Marketing Perspectives of Product Innovation: The Influence of Organizational Process Factors and Capabilities on Development Performance , 2001 .

[23]  Christoph H. Loch,et al.  Hierarchical Structure and Search in Complex Organizations , 2010, Manag. Sci..

[24]  Kathleen M. Carley,et al.  Simulation modeling in organizational and management research , 2007 .

[25]  Takahiro Fujimoto,et al.  Product Integrity and the Role of DESIGNER‐ASINTEGRATOR , 2010 .

[26]  Eric von Hippel,et al.  Task Partitioning: An Innovation Process Variable , 2015 .

[27]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[28]  S. R. Rosenthal,et al.  Towards holistic front ends in new product development , 1998 .

[29]  Jonas Schreyögg,et al.  The Impact of Network Ties and Resource Input on Research Performance: An Empirical Investigation Among Surgeons in Academic Medical Centers , 2013, IEEE Transactions on Engineering Management.

[30]  Jack A. Nickerson,et al.  A Knowledge-based Theory of the Firm - A Problem-solving Perspective , 2004, Organ. Sci..

[31]  L. Fleming,et al.  Collaborative Brokerage, Generative Creativity, and Creative Success , 2007 .

[32]  Daniel J. Brass,et al.  Social networks, personal values, and creativity: evidence for curvilinear and interaction effects. , 2009, The Journal of applied psychology.

[33]  J. March Exploration and exploitation in organizational learning , 1991, STUDI ORGANIZZATIVI.

[34]  T. Marion,et al.  Back-loading: A Potential Side Effect of Employing Digital Design Tools in New Product Development: Side Effect of Digital Design Tools in NPD , 2012 .

[35]  Robert P. Smith,et al.  A model-based method for organizing tasks in product development , 1994 .

[36]  Johann Peter Murmann,et al.  Dominant Designs, Technology Cycles, and Organization Outcomes. , 1998 .

[37]  Roger Guimerà,et al.  Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance , 2005, Science.

[38]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[39]  Shu Lin,et al.  Team Dispersion, Information Technology, and Project Performance , 2013 .

[40]  Manuel E. Sosa Where Do Creative Interactions Come From? The Role of Tie Content and Social Networks , 2011, Organ. Sci..

[41]  Daniel J. Brass,et al.  Organizational Social Network Research: Core Ideas and Key Debates , 2010 .

[42]  Mohan V. Tatikonda,et al.  Technology novelty, project complexity, and product development project execution success: a deeper look at task uncertainty in product innovation , 2000, IEEE Trans. Engineering Management.

[43]  J. van den Ende,et al.  The Organizational Life of an Idea: Integrating Social Network, Creativity and Decision-Making Perspectives , 2007 .

[44]  Daniel A. Levinthal,et al.  The Dual Role of Modularity: Innovation and Imitation , 2008, Manag. Sci..

[45]  Alan MacCormack,et al.  Hidden Structure: Using Network Methods to Map System Architecture , 2014 .

[46]  Trevor Young-Hyman Cooperating without Co-laboring , 2017 .

[47]  Q. Huy,et al.  Distributed Attention and Shared Emotions in the Innovation Process , 2016 .

[48]  John E. Sawyer,et al.  Virtualness and Knowledge in Teams: Managing the Love Triangle of Organizations, Individuals, and Information Technology , 2003, MIS Q..

[49]  Stefan H. Thomke,et al.  The Effect of 'Front-Loading' Problem-Solving on Product Development Performance , 2000 .

[50]  D. Watts Networks, Dynamics, and the Small‐World Phenomenon1 , 1999, American Journal of Sociology.

[51]  Stephan Billinger,et al.  Search on Rugged Landscapes: An Experimental Study , 2013 .

[52]  R. Burt Structural Holes and Good Ideas1 , 2004, American Journal of Sociology.

[53]  Daniel A. Levinthal,et al.  Modularity and Innovation in Complex Systems , 2002, Manag. Sci..

[54]  David Obstfeld Social Networks, the Tertius Iungens Orientation, and Involvement in Innovation , 2005 .

[55]  Li Xuan Computational experiments for study of complexity of business model innovation , 2010 .

[56]  Karl T. Ulrich,et al.  The role of product architecture in the manufacturing firm , 2011 .

[57]  Ilaria Giannoccaro,et al.  Examining the Roles of Product Complexity and Manager Behavior on Product Design Decisions: An Agent-Based Study Using NK Simulation , 2016, IEEE Transactions on Engineering Management.

[58]  Michael W. Macy,et al.  In Search of Excellence: Fads, Success Stories, and Adaptive Emulation1 , 2001, American Journal of Sociology.

[59]  Karl T. Ulrich,et al.  Special Issue on Design and Development: Product Development Decisions: A Review of the Literature , 2001, Manag. Sci..

[60]  A. Griffin The Effect of Project and Process Characteristics on Product Development Cycle Time , 1997 .

[61]  Kingshuk K. Sinha,et al.  Work Design and Integration Glitches in Globally Distributed Technology Projects , 2016 .

[62]  Kim B. Clark,et al.  The Option Value of Modularity in Design: An Example From Design Rules, Volume 1: The Power of Modularity , 2000 .

[63]  J. Coleman Foundations of Social Theory , 1990 .

[64]  Manuel E. Sosa Realizing the Need for Rework: From Task Interdependence to Social Networks , 2014 .

[65]  R. Katila,et al.  Something Old, Something New: A Longitudinal Study of Search Behavior and New Product Introduction , 2002 .

[66]  Daniel A. Levinthal Adaptation on rugged landscapes , 1997 .

[67]  Dan Braha,et al.  The Topology of Large-Scale Engineering Problem-Solving Networks , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[68]  Tyson R. Browning,et al.  Linking Cyclicality and Product Quality , 2012, Manuf. Serv. Oper. Manag..

[69]  HERBERT A. SIMON,et al.  The Architecture of Complexity , 1991 .

[70]  Stuart A. Kauffman,et al.  The origins of order , 1993 .

[71]  Leigh Thompson,et al.  Making the Team: A Guide for Managers , 2003 .

[72]  Jeffrey S. Buzas,et al.  An Analysis of $N\!K$ Landscapes: Interaction Structure, Statistical Properties, and Expected Number of Local Optima , 2014, IEEE Transactions on Evolutionary Computation.

[73]  Matt Marx,et al.  Managing Creativity in Small Worlds , 2006 .

[74]  Svenja C. Sommer,et al.  The Effects of Problem Structure and Team Diversity on Brainstorming Effectiveness , 2009, Manag. Sci..

[75]  Antonio Capaldo Network Structure and Innovation: The Leveraging of a Dual Network as a Distinctive Relational Capability , 2006 .

[76]  Gary Klein,et al.  Software Quality as Influenced by Informational Diversity, Task Conflict, and Learning in Project Teams , 2010, IEEE Transactions on Engineering Management.

[77]  P. Leonardi,et al.  Which pathway to good ideas? An attention‐based view of innovation in social networks , 2018 .

[78]  A. Tiwana Do bridging ties complement strong ties? An empirical examination of alliance ambidexterity , 2008 .

[79]  Christina Fang,et al.  Balancing Exploration and Exploitation through Structural Design: The Isolation of Subgroups and Organization Learning , 2008 .

[80]  Thorbjørn Knudsen,et al.  Two Faces of Search: Alternative Generation and Alternative Evaluation , 2007, Organ. Sci..

[81]  M. Galesic,et al.  Social learning strategies reconcile the relationship between network structure and collective problem solving , 2015 .

[82]  Tucker J. Marion,et al.  Back-Loading: A Potential Side Effect of Employing Digital Design Tools in New Product Development , 2010 .

[83]  Steven D. Eppinger,et al.  Information Flow Through Stages of Complex Engineering Design Projects: A Dynamic Network Analysis Approach , 2015, IEEE Transactions on Engineering Management.

[84]  Jan van den Ende,et al.  Subjective Performance Assessment of Innovation Projects , 2010 .

[85]  Pier Vittorio Mannucci,et al.  From Creativity to Innovation: The Social Network Drivers of the Four Phases of the Idea Journey , 2017 .

[86]  Margaret J. Eppstein,et al.  Tunably Rugged Landscapes With Known Maximum and Minimum , 2014, IEEE Transactions on Evolutionary Computation.

[87]  Giovanni Gavetti,et al.  Capabilities, cognition, and inertia: evidence from digital imaging , 2000 .

[88]  Lee Fleming,et al.  Special Issue on Design and Development: Recombinant Uncertainty in Technological Search , 2001, Manag. Sci..

[89]  Melissa A. Schilling,et al.  When hubs forget, lie, and play favorites: : Interpersonal network structure, information distortion, and organizational learning , 2014 .

[90]  Lee Fleming,et al.  Navigating the Technology Landscape of Innovation , 2003 .

[91]  Thomas J. Allen,et al.  Managing the flow of technology: technology transfer and the dissemination of technological informat , 1977 .

[92]  R. Burt Brokerage and Closure: An Introduction to Social Capital , 2005 .