Behavioral strategy
Behavioral strategy is an interdisciplinary field within strategic management that integrates insights from cognitive, social, and organizational psychology to better understand how individuals and groups make strategic decisions. It challenges the assumptions of traditional economic models that presume perfect rationality, instead emphasizing how real-world decision-making is shaped by cognitive biases, emotions, social dynamics, and bounded rationality.
Emerging in response to the limitations of purely rational models of strategy, behavioral strategy seeks to incorporate psychologically realistic assumptions into both the theory and practice of strategic management. It applies behavioral perspectives to core strategic topics such as CEO and top management team behavior, market entry decisions, competitive dynamics, and organizational change. It is typically characterized by the following features:
- It is microfoundational, drawing on individual-level psychological processes to explain firm-level outcomes;
- It draws broadly from psychological subfields—including cognitive, social, and organizational psychology—as well as from behavioral economics and sociology;
- It emphasizes empirically grounded assumptions, relying on evidence from laboratory and field experiments rather than abstract models or mathematical tractability.
Historical foundations
Early contributions
's research on cognitive decision making and the concept of bounded rationality contributed to early developments in behavioral strategy. Simon identified four categorical observations on variations in ability to solve complex problems and make decisions:- Problem representation is crucial to problem solving. Effective problem solvers accurately represent problems, highlighting their nature and utilizing the most pertinent information for solutions.
- Pattern recognition facilitates problem solving. When analyzing problems and solutions, patterns emerge that translate to 'if/then' solutions. For example, Porter's [five forces analysis|Porter's Five Forces model] exemplifies 'if/then' patterns that connect strategic problems with effective solutions. For example, "if your supplier has high bargaining power, then seek alternative sources".
- Patterns enhance memory encoding and recall. A connection to a memory allows faster recall from long-term memory, and patterns increase this connection making memories easier to recall.
- Practice builds expertise. Repeatedly engaging in decision making and problem solving correlates with increased skill. Using representation, recognizing patterns, and recalling these patterns enhances one's abilities.
Evolution and development
The application of psychological insights to research on firm behavior and performance has a rich history. This includes research on the behavioral theory of the firm, aspirations, attention, emotions, goals, cognitive schema, maps, sensemaking, and cognitive rivalry, routines, decision theory, escalation, motivation, hubris, top management teams, dominant logic, competitive interaction, and organizational learning.However, the first explicit use of the term "behavioral strategy" in a journal appears to be in Lovallo and Sibony, which links the concept to behavioral economics literature and the underlying heuristics and biases research. While this was published in a practitioner journal, Powell, Lovallo, and Fox later edited a special issue on "Psychological Foundations of Strategic Management" in the Strategic Management Journal. Retrospectively, this may be seen as the key event in launching behavioral strategy as a coherent, institutionalized research effort rather than a multitude of relatively unconnected research streams.
In their editorial essay, Powell et al. outlined three reasons why there was a need for a concerted research effort in behavioral strategy:
- Strategy research had been slow to incorporate relevant results from psychology
- The field lacked adequate psychological grounding
- Recent developments had created opportunities for closer integration of cognitive sciences and strategy research
Defining the field
The growing interest in behavioral strategy has prompted several attempts to define the field and surveys of closely related theoretical approaches, such as the behavioral theory of the firm and problemistic search. Hambrick and Crossland proposed conceptualizing behavioral strategy using an imagery of differently sized "tents":- Small tent: "A direct transposition of the logic of behavioral economics to the field of strategic management"
- Medium tent: "A commitment to understanding the psychology of strategists"
- Large tent: "All forms and styles of research that consider any psychological, social, or political ingredients in strategic management"
Application in COVID-19
Behavioral strategy affected decisions made during the COVID-19 disruption. Behavioral strategy provides psychologically based interpretations that can illuminate how individuals and organizations respond to such disruptions. It suggests that strategists may not be good at using formal models, rules, or forecasts because they are not statisticians. There is supporting evidence of this observed during the disruption caused by COVID-19. Some decision-makers treated extreme model projections as deterministic predictions rather than recognizing them as improbable worst-case scenarios. An example of this was the societal lockdown. It was impossible to forecast the economic and social consequences of the lockdown, and its effectiveness, and yet decision-makers decided to implement this worst-case scenario. Another example of worst-case scenario being implemented is when the CDC gave guidance on wearing masks outdoors as this was an example of extreme caution. Decision-makers appeared to overlook the consequences of or misunderstand the lack of error margins around initial forecasts. Also of relevance, decision-makers may rely too much on models, forecasts, and data that are available. When decision-making problems are ill-structured and require quick action, relying solely on formal models and forecasts can be problematic. It becomes necessary to incorporate intuition and soft data into the decision-making process in these cases.