Construct · 3 fields · 5 citations

Where does slack collide?

One name. Different field. Different construct. One map.

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Every construct on the map is compared with every other by the meaning of its definitions, and the closest one is surfaced here. The nearest construct to slack is float.

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slack3 CONSTRUCTSOrganizationalCYERT & MARCH · CUSHIONSchedule floatKELLEY & WALKER · FLOATSlack variableDANTZIG · SLACK VARIABLE

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2026

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Organizational theory

a firm's pool of excess resources beyond what current operations require, used to absorb shocks and fund experiments.

A firm's pool of excess or uncommitted resources, held beyond what current operations strictly require, that lets the organization absorb shocks and fund experiments. Cyert and March named it in A Behavioral Theory of the Firm (1963), where slack is the difference between the resources a coalition of members could extract and the payments needed to keep them cooperating. Bourgeois (1981) sorted it into available, recoverable, and potential slack and asked how each might be measured. Nohria and Gulati (1996) tested its effect on innovation and found an inverted U: too little starves new projects, too much lets weak ones survive. The referent is an organization and its balance sheet, not a schedule and not an equation, and the resource in question is money, people, and capacity a firm chooses to keep in reserve.[1][2][3]

Unit
Excess resources a firm holds beyond operating need
Recovery means
Not applicable
Measured by
Financial ratios such as available liquidity, retained earnings, and administrative overhead, taken as proxies for uncommitted resources

Project management

the time an activity can be delayed without pushing back the finish of the whole project.

The amount of time an activity can be delayed without pushing back the finish of the whole project. In the critical-path method that Kelley and Walker set out in Critical-Path Planning and Scheduling (1959), each activity has a slack, also called float, equal to the gap between its latest and earliest allowable start; activities with zero slack lie on the critical path and cannot slip at all. Here slack is a quantity of time computed from a network of dependencies, not a stock of resources a firm holds and not a variable added to an equation. It tells a scheduler which tasks have room to move and which do not, and it is a property of a task's position in a plan rather than of any organization.[4]

Unit
Time an activity can be delayed without delaying the project
Recovery means
Not applicable
Measured by
Latest allowable start minus earliest start for each activity in a project network

Mathematical optimization

a nonnegative variable added to an inequality constraint to turn it into an equality for the simplex method.

A nonnegative variable added to one side of an inequality constraint so that it becomes an equality, letting the simplex method work on a system of linear equations. In linear programming, as codified in Dantzig's Linear Programming and Extensions (1963), a constraint of the form ax ≤ b is rewritten as ax + s = b with s ≥ 0; the slack variable s takes up the difference between the left side and the bound, and its value at the optimum shows how much of that constraint is left unused. This slack is a mathematical device inside a model, not time in a schedule and not resources on a balance sheet. It measures the distance from a constraint to its limit in whatever units the constraint is written, and it exists only because the solution method needs equalities.[5]

Unit
The unused amount of an inequality constraint, in the constraint's own units
Recovery means
Not applicable
Measured by
The value of the added nonnegative variable at the solution, one per inequality constraint

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Nearby collisions

capacity5 fields · 8 citationsjingle · one word, four limitsresource-based view4 fields · 5 citationsjingle · a framework, not one constructleverage6 fields · 15 citationsjingle · one name, six constructs

References

  1. Cyert, R. M., & March, J. G. (1963). A behavioral theory of the firm. Prentice-Hall.
  2. Bourgeois, L. J. (1981). On the measurement of organizational slack. Academy of Management Review, 6(1), 29–39. https://doi.org/10.5465/amr.1981.4287985
  3. Nohria, N., & Gulati, R. (1996). Is slack good or bad for innovation? Academy of Management Journal, 39(5), 1245–1264. https://doi.org/10.5465/256998
  4. Kelley, J. E., Jr., & Walker, M. R. (1959). Critical-path planning and scheduling. In Papers presented at the December 1–3, 1959, eastern joint IRE-AIEE-ACM computer conference (pp. 160–173). Association for Computing Machinery. https://doi.org/10.1145/1460299.1460318
  5. Dantzig, G. B. (1963). Linear programming and extensions. Princeton University Press. ISBN 9780691080000

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