Complex systems: marketing’s new frontier

Complex systems approaches are emerging as new methods that complement conventional analytical and statistical approaches for analyzing marketing phenomena. These methods can provide researchers with tools to understand and predict marketing outcomes that emerge at the aggregate level by modeling feedback between heterogeneous agents and agent interaction with various marketing environmental variables. While the benefits of complex systems approaches often come with a high computational cost, steady advances in access to better computational resources has allowed more researchers to adopt complex systems approaches as part of their portfolio of methods. In this paper, we will provide a description of the key concepts, benefits, and tools of complex systems. The goal of this work is to encourage marketing researchers and practitioners who are not familiar with these approaches to consider the adoption of these methods. We end with a discussion of the future research opportunities that this powerful methodology enables.

[1]  Willem Verbeke,et al.  Dynamic strategic thinking , 2001 .

[2]  Robert K. Plice,et al.  Toward a Sustainable Email Marketing Infrastructure , 2008 .

[3]  Jacob Goldenberg,et al.  The Quest for Content: How User-Generated Links can Facilitate Online Exploration , 2012 .

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

[5]  Nassim Nicholas Taleb,et al.  The Black Swan: The Impact of the Highly Improbable , 2007 .

[6]  Eric Bonabeau,et al.  Agent-based modeling: Methods and techniques for simulating human systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[7]  A. Borshchev,et al.  From System Dynamics and Discrete Event to Practical Agent Based Modeling : Reasons , Techniques , Tools , 2004 .

[8]  Jacob Goldenberg,et al.  Network Traces on Penetration: Uncovering Degree Distribution from Adoption Data , 2012, Mark. Sci..

[9]  Charles H. Fine,et al.  Value network dynamics in 3G-4G wireless communications: A systems thinking approach to strategic value assessment , 2008 .

[10]  John H. Holland,et al.  Emergence. , 1997, Philosophica.

[11]  J. Goldenberg,et al.  The Role of Hubs in the Adoption Process , 2009 .

[12]  Charles M. Macal,et al.  Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation , 2007 .

[13]  J. Holland Complexity: A Very Short Introduction , 2014 .

[14]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[15]  D. Fudenberg,et al.  The Theory of Learning in Games , 1998 .

[16]  Beom Jun Kim,et al.  Consumer referral in a small world network , 2006, Soc. Networks.

[17]  Hazhir Rahmandad,et al.  Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models , 2004, Manag. Sci..

[18]  Ted G. Lewis,et al.  Network Science: Theory and Applications , 2009 .

[19]  Rosanna Garcia Uses of Agent-Based Modeling in Innovation/New Product Development Research , 2005 .

[20]  F. Bass A new product growth model for consumer durables , 1976 .

[21]  Ingo J. Timm,et al.  Measuring and Comparing Scalability of Agent-Based Simulation Frameworks , 2015, MATES.

[22]  Torsten Heinrich,et al.  Beyond Equilibrium: Revisiting Two-Sided Markets from an Agent-Based Modeling Perspective , 2015, International Journal of Computational Economics and Econometrics.

[23]  M. Haenlein Social interactions in customer churn decisions: The impact of relationship directionality☆ , 2013 .

[24]  Forrest Stonedahl,et al.  Spatial Competition with Interacting Agents , 2017 .

[25]  Jacob Goldenberg,et al.  A Comparison of the Effects of Transmitter Activity and Connectivity on the Diffusion of Information over Online Social Networks , 2010 .

[26]  J. Goldenberg,et al.  The NPV of bad news , 2007 .

[27]  James M. Lyneis,et al.  System dynamics for market forecasting and structural analysis , 2000 .

[28]  Ali Bazghandi,et al.  Techniques, Advantages and Problems of Agent Based Modeling for Traffic Simulation , 2012 .

[29]  David L. Levy CHAOS THEORY AND STRATEGY: THEORY, APPLICATION, AND MANAGERIAL IMPLICATIONS , 2007 .

[30]  J. Goldenberg,et al.  The chilling effects of network externalities , 2010 .

[31]  A. Pakes,et al.  Markov-Perfect Industry Dynamics: A Framework for Empirical Work , 1995 .

[32]  Jonah A. Berger Word of mouth and interpersonal communication: A review and directions for future research , 2014 .

[33]  Jacques H. Trienekens,et al.  Chain and network science: A research framework , 2001 .

[34]  Andre B. Bondi,et al.  Characteristics of scalability and their impact on performance , 2000, WOSP '00.

[35]  Willem Verbeke,et al.  Path Dependencies and the Long-term Effects of Routinized Marketing Decisions , 2008 .

[36]  D. Watts,et al.  Influentials, Networks, and Public Opinion Formation , 2007 .

[37]  Reza Zafarani,et al.  Social Media Mining: An Introduction , 2014 .

[38]  Alison J. Heppenstall,et al.  Using Hybrid Agent-Based Systems to Model Spatially-Influenced Retail Markets , 2006, J. Artif. Soc. Soc. Simul..

[39]  R. Lucas Econometric policy evaluation: A critique , 1976 .

[40]  Chris Volinsky,et al.  Network-Based Marketing: Identifying Likely Adopters Via Consumer Networks , 2006, math/0606278.

[41]  M. Haenlein A social network analysis of customer-level revenue distribution , 2011 .

[42]  Shang-Hua Teng,et al.  Scalable Algorithms for Data and Network Analysis , 2016, Found. Trends Theor. Comput. Sci..

[43]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[44]  Sonja Gensler,et al.  A Study of the Diffusion of Alternative Fuel Vehicles: An Agent‐Based Modeling Approach* , 2011 .

[45]  Duncan J. Watts,et al.  The Structural Virality of Online Diffusion , 2015, Manag. Sci..

[46]  J. Rochet,et al.  Platform competition in two sided markets , 2003 .

[47]  Tammo H. A. Bijmolt,et al.  Targeting and timing promotional activities : An agent-based model for the takeoff of new products , 2007 .

[48]  Jacob Goldenberg,et al.  Using Complex Systems Analysis to Advance Marketing Theory Development , 2001 .

[49]  W. Arthur,et al.  Increasing Returns and Path Dependence in the Economy , 1996 .

[50]  Peter R. Dickson,et al.  The Static and Dynamic Mechanics of Competition: A Comment on Hunt and Morgan's Comparative Advantage Theory , 1996 .

[51]  John H. Miller,et al.  Complex adaptive systems - an introduction to computational models of social life , 2009, Princeton studies in complexity.

[52]  Min Ding,et al.  A Theory of Intraperson Games , 2007 .

[53]  Jacob Goldenberg,et al.  Mine Your Own Business: Market-Structure Surveillance Through Text Mining , 2012, Mark. Sci..

[54]  Tammo H. A. Bijmolt,et al.  Will It Spread or Not? The Effects of Social Influences and Network Topology on Innovation Diffusion , 2010 .

[55]  Marvin Minsky,et al.  Society of Mind: A Response to Four Reviews , 1991, Artif. Intell..

[56]  Marina Haddad Tóvolli,et al.  Complex approaches for education in brazil , 2016 .

[57]  Roland T. Rust,et al.  The Service Revolution and the Transformation of Marketing Science , 2014, Mark. Sci..

[58]  Harry M. Kaiser,et al.  Dynamic market impacts of generic dairy advertising , 2008 .

[59]  L. da F. Costa,et al.  Characterization of complex networks: A survey of measurements , 2005, cond-mat/0505185.

[60]  Jacob Goldenberg,et al.  From Density to Destiny: Using Spatial Dimension of Sales Data for Early Prediction of New Product Success , 2004 .

[61]  Brett R. Gordon,et al.  Multiplicity of equilibria and information structures in empirical games: challenges and prospects , 2015 .

[62]  William Rand,et al.  Agent-Based Modeling in Marketing: Guidelines for Rigor , 2011 .

[63]  William Rand,et al.  Improving Prelaunch Diffusion Forecasts: Using Synthetic Networks as Simulated Priors , 2013 .

[64]  David F. Midgley,et al.  Building and assurance of agent-based models: An example and challenge to the field , 2007 .

[65]  Hon-Kwong Lui,et al.  Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming , 2006, Manag. Sci..

[66]  Wander Jager,et al.  From the Special Issue Editors: Agent-Based Modeling of Innovation Diffusion , 2011 .

[67]  Steven C Bankes,et al.  Agent-based modeling: A revolution? , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[68]  G. Day,et al.  Evolutionary Processes in Competitive Markets: Beyond the Product Life Cycle , 1989 .

[69]  Barak Libai,et al.  Targeting Revenue Leaders for a New Product , 2013 .

[70]  Jiann-Horng Lin,et al.  System Dynamics Simulation for Internet Marketing , 2008, 2008 IEEE/SICE International Symposium on System Integration.

[71]  Robert F. Lusch,et al.  A preliminary test of Hunt's General Theory of Competition: using artificial adaptive agents to study complex and ill-defined environments , 2005 .

[72]  Forrest Stonedahl,et al.  A General Model of Spatial Competition , 2016 .

[73]  Jacob Goldenberg,et al.  Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth , 2001 .

[74]  D. Midgley,et al.  Breeding competitive strategies , 1997 .

[75]  Eitan Muller,et al.  The role of seeding in multi-market entry , 2005 .

[76]  J. Rochet,et al.  Two-sided markets: a progress report , 2006 .

[77]  Brynn Hibbert,et al.  Chaos theory and the dynamics of marketing systems , 1994 .

[78]  Jacob Goldenberg,et al.  Riding the Saddle: How Cross-Market Communications Can Create a Major Slump in Sales , 2002 .

[79]  Charles M. Macal,et al.  Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation , 2007 .

[80]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .

[81]  Terry Clark,et al.  Book Review: Increasing Returns and Path Dependency in the Economy , 1995 .