Developing Theory Through Simulation Methods

By Jason P. Davis, Kathleen M. Eisenhardt, Christopher B. Bingham. 2007

1,143 citations recorded by the source corpus.

Subfields: Education, General Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/7b15fb2c1ae0cdd599ae017985107d92ad53c5b1

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Citations in the corpus

Optimal Structure, Market Dynamism, and the Strategy of Simple Rules (2009, methodology): “We conducted this research using simulation methods, which are effective for research such as ours in which the basic outline of the theory is understood, but its underlying theoretical logic is limited (Davis, Eisenhardt, and Bingham, 2007).”
Time and the Entrepreneurial Journey: The Problems and Promise of Studying Entrepreneurship as a Process (2013, background): “Recent work has also offered formal guidance for the development and assessment of such models in marketing (Rand and Rust, 2011), management (Davis, Eisenhardt, and Bingham, 2007), as well as social science in general (Gilbert, 2008; Gilbert and Troitzsch, 2005).”
Late-career entrepreneurship, income and quality of life (2017, methodology): “In addition to testing such a model with real country data, it could be interesting to use simulation techniques as is often done in demography (Carroll and Harrison, 1998) and, more recently, in management research (Davis et al., 2007; Keyhani et al., 2015).”
Designing the Boundaries of the Firm: From Make, Buy, or Ally to the Dynamic Benefits of Vertical Architecture (2006, neutral): “Once this research enables some specification of the inter-relationships, simulations methods may be useful to more fully understand process non-linearities and potential outcomes (Davis et al., 2004).”
Power law distributions in entrepreneurship: : Implications for theory and research (2015, background): “Agent-based models like these are particularly well-suited to build what Davis et al. (2007) termed “simple theory”—where theoretical constructs are only partially developed within a domain.”
Top management teams and the performance of entrepreneurial firms (2013, methodology): “We conducted this research using simulation methods which are effective for research when the basic outline of the theory is understood, but its theoretical logic is incomplete (Davis et al. 2007).”
Modelling the dynamics of technological innovation systems (2016, background): “For instance, formal models are often critiqued for lacking realworld realism and accuracy; simulation research may be based on unrealistic assumptions; and simulation constructs are often allowed to vary only between empirically distant values (such as 0 and 1) (Davis et al., 2007).”
Modelling Bounded Rationality in Organizations: Progress and Prospects† (2015, background): “(Lave and March, 1975; Davis et al., 2007; Harrison et al. 2007; Adner et al., 2009).”
Special Issue: Frontiers of Organization Science, Part 2 of 2: Organizational Boundaries and Theories of Organization (2005, background): “Simulation is especially valuable in clarifying process nonlinearities, unpacking simple relationships, and engaging in experiments in virtual environments to probe relationships with significant time dependencies (Davis et al. 2005a).”
Friends and Foes: The dynamics of dual social structures (2014, methodology): “To examine the cumulative effects of dyadic and triadic processes of network formation, we therefore followed prior research (Davis et al., 2007) and utilized an agentbased simulation model.”
Rotating Leadership and Collaborative Innovation (2011, methodology): “Emergent theory from multiple-case research is typically more generalizable and better grounded than theory from single-case studies, making it more amenable to extension and validation with other methods (Davis, Eisenhardt, and Bingham, 2007).”
Life in the fast lane: Origins of competitive interaction in new vs. established markets (2010, positive): “Our data are subject to autocorrelation since each firm is measured repeatedly across multiple rounds and subject to heteroscedasticity because move diversity may increase over time as markets develop.”