‘Inside the Organizational Learning Curve Flashcards

Chapter 1 (94 cards)

1
Q

What is organizational learning?

A

An organization’s ongoing effort to use better knowledge to improve its actions and results.

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2
Q

What are the two sub-processes in the learning cycle?

A

Conceptual learning (know-why) and operational learning (know-how).

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3
Q

Define conceptual learning.

A

Learning aimed at understanding why events occur, thus building explanatory (“know-why”) knowledge.

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4
Q

Define operational learning.

A

Learning aimed at developing the skill to deal with experienced events, thus building practical (“know-how”) knowledge.

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5
Q

What is meant by the organizational learning curve?

A

The relationship showing how an organization’s performance improves as it gains operating experience over time.

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6
Q

Why can learning rate be a sustainable competitive advantage?

A

Because rivals can imitate products or processes, but consistently faster learning—absorbing and applying new knowledge—is much harder to copy.

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7
Q

List the three levels at which learning can occur.

A

Individual, team, and organization levels.

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8
Q

How does individual learning influence higher levels?

A

Knowledge and skills gained by individuals feed into team routines and, when shared broadly, shape organizational practices.

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9
Q

Identify four trends that make learning rates strategically critical.

A

1) Rapid growth of knowledge in many industries
2) 2) Shorter product life cycles and lead times
2) 3) Increasing complexity of new ideas
3) 4) Wide performance gaps across firms.

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10
Q

How do shorter product cycles pressure firms to learn faster?

A

They reduce the time available to commercialize innovations, so firms must move quickly from idea to market to stay ahead.

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11
Q

Why does knowledge complexity heighten the need for fast learning?

A

Complex ideas require deeper understanding and more coordinated application, so slow learners fall further behind.

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12
Q

Explain how performance variation across firms motivates organizational learning.

A

Seeing peers outperform creates an imperative to search for, absorb, and apply better practices to close the gap.

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13
Q

Give an example of conceptual learning in a manufacturing firm.

A

Engineers conducting root-cause analysis to understand why defect rates spike after a material change.

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14
Q

Give an example of operational learning in the same context.

A

Line workers refining the exact torque settings that minimize defects once the root cause is known.

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15
Q

Lead time (to market)

A

Elapsed time from idea or design freeze to product launch.

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16
Q

Sustainable competitive advantage

A

A superior position that can be maintained because it is difficult for rivals to replicate or nullify.

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17
Q

Operating experience

A

Cumulative practice or exposure to tasks that generates data for learning.

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18
Q

What two core components are found in any model of an organizational learning curve?

A

A: A measure of experience (how much or what type of practice the organization has accumulated) and a measure of performance (how well the organization now executes the task).

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19
Q

Q: Name the three main ways researchers measure organizational experience.

A

A: Cumulative volume, calendar time, and maximum volume.

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19
Q

: Why does the learning curve capture the notion “practice makes perfect”?

A

A: Because it links accumulated experience to improving performance, illustrating “learning by doing.”

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20
Q

Q: Define cumulative volume as an experience metric.

A

A: The total number of units produced (or service encounters completed) since operations began—classic “learning by doing

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21
Q

Q: Give a manufacturing example of cumulative volume.

A

A: The running total of cars assembled in an auto plant since its first day of production.

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22
Q

Q: Define calendar time as an experience metric.

A

A: Elapsed time on the calendar; it assumes organizations learn simply because time passes and they have opportunities to reflect—“learning by thinking.”

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22
Q

Q: Why might calendar time alone misrepresent learning?

A

A: Time can pass without rich experience or reflection, so performance may not actually improve.

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23
Q: How does scaling up production create new learning when maximum volume rises?
A: Teams must figure out fresh ways to coordinate resources and workflows to handle the bigger load efficiently.
23
Q: Define maximum volume as an experience metric.
A: The highest output level achieved in any single period to date; it captures “learning by stretching” into unfamiliar, larger-scale operations.
24
Q: What conclusion follows about choosing an experience metric?
A: Maximum volume is generally a better measure of organizational experience than cumulative volume or calendar time.
24
Q: According to the passage, which experience measure was least affected by autocorrelation in learning-curve studies?
A: Maximum volume.
25
Q: What does “unit time” measure?
A: The time required to process or produce one unit.
26
Q: How does a declining unit time signal learning?
A: Faster processing means the organization can accomplish more with the same resources.
27
Q: Why must researchers control for quality when analyzing learning curves?
A: Performance gains based solely on speed may mask hidden quality declines; true learning should improve or maintain quality.
27
Q: Why is unit time often a good proxy for unit cost?
A: When direct labor dominates cost and quality holds constant, time savings translate directly into cost savings.
28
Q: What statistical problem can occur when cumulative volume or calendar time is used as the experience measure?
A: Autocorrelation—successive data points are not independent, biasing estimates of the learning ra
28
Q: Define unit cost as a performance metric.
A: The total cost incurred to produce one unit of output, including materials, labor, and overhead.
29
Define Total Factor Productivity (TFP).
A: An index measuring how efficiently multiple inputs (labor, capital, materials) are transformed into outputs; it can aggregate across diverse products.
29
Q: What is the key goal of learning-curve research?
A: To understand the causes of the tremendous performance variation observed across organizations.
30
Q: How does a better experience metric improve managerial insight?
A: It more accurately signals when genuine learning occurs, guiding where to invest effort for further improvements.
30
Q: Why is the learning curve concept vital for competitive advantage?
A: Organizations that translate experience into performance faster can lower costs, improve quality, and outpace rivals.
31
Learning curve
A graphical or mathematical representation showing how performance improves as experience accumulates.
32
Cumulative volume
The total units produced or services delivered since operations began; embodies “learning by doing.”
33
Calendar time
Elapsed clock time; implies “learning by thinking” through reflection during each period.
34
Maximum volume
The single highest output rate achieved to date; reflects “learning by stretching” into new capacity.
34
Learning by doing
Gaining proficiency through repeated execution of tasks.
35
Learning by thinking
Improving by reflecting, analyzing, or problem-solving rather than solely through action.
36
Learning by stretching
Acquiring new knowledge by operating at unprecedented scales or under novel conditions.
36
Unit time
The time required to complete one unit of output.
37
Unit cost
Monetary resources consumed per unit of out
38
Total Factor Productivity (TFP)
A composite efficiency metric capturing output produced per combined unit of multiple inputs.
39
What are the three learning types in Levy’s model?
Autonomous learning, induced (planned) learning, and random/exogenous learning.
40
Define induced (planned) learning in Levy’s framework.
Deliberate, firm-initiated techniques or investments aimed at boosting output speed or lowering cost (e.g., training programs, engineering redesigns).
40
Define autonomous learning according to Levy.
Improvements that arise naturally from workers’ on-the-job practice and experience.
41
Define random/exogenous learning in Levy’s framework.
Performance gains that come unexpectedly from the external environment (e.g., supplier breakthroughs, regulatory advice).
41
What two orthogonal dimensions do Dutton & Thomas add?
Learning type (autonomous ↔ induced) and origin (endogenous ↔ exogenous).
42
Define endogenous learning in this framework.
Learning that originates inside the firm—employee experience, technical tweaks, smoother workflows.
42
Define exogenous learning in this framework.
Learning that originates outside the firm—information from customers, suppliers, competitors, government.
43
Give an example of autonomous & endogenous learning.
“Practice-makes-perfect” learning by doing on an existing production line.
43
Give an example of autonomous & exogenous learning.
Routine productivity improvement that accompanies scheduled equipment replacement provided by an external vendor.
44
Give an example of induced & endogenous learning.
In-house quality-improvement projects funded by management.
45
Why do Dutton & Thomas say the learning rate should be treated as a dependent variable?
Because it responds to managerial policy choices (e.g., investment level, staffing) and is not fixed.
45
What are Bohn’s two views of the learning curve?
A) Improvement is inferred when cost/quality rises with experience. B) Improvement results from either autonomous (experience-based) or induced (deliberate) activities.
45
Give an example of induced & exogenous learning.
Copying best-practice process settings discovered at a sister plant or in industry R&D consortia.
46
What key claim does Bohn add to learning-curve theory?
A real knowledge-creation process sits inside the curve: better knowledge changes member behavior, which then improves performance.
47
How does Bohn link knowledge, behavior, and performance?
Better organizational knowledge → modified employee behavior → superior performance metrics.
48
How do the Levy and Dutton-&-Thomas frameworks complement each other?
Levy classifies learning types; Dutton-&-Thomas add the origin dimension, producing a 2 × 2 matrix of possibilities.
49
Why is distinguishing origin (exogenous vs. endogenous) important for managers?
Endogenous factors can be directly managed; exogenous factors must be anticipated or leveraged, but cannot be controlled.
50
Which quadrant of the Dutton-&-Thomas matrix provides the most managerial control?
Induced & Endogenous – improvements initiated and executed within the firm.
50
Which quadrant offers opportunities but least control?
Autonomous & Exogenous – improvements that happen naturally from outside forces (e.g., vendor upgrades).
51
Autonomous learning
Automatic, experience-driven improvement during routine operations.
52
Exogenous learning
Learning triggered by information or events outside the firm’s boundary.
52
Induced (planned) learning
Deliberately resourced efforts to accelerate improvement beyond routine experience.
53
Endogenous learning
Learning that originates inside the firm through employee actions and internal processes.
54
Learning-type dimension
Axis contrasting autonomous vs. induced modes of learning.
55
Origin dimension
Axis contrasting exogenous vs. endogenous sources of learning stimuli.
56
Learning rate (µ)
Speed parameter in learning-curve models describing how quickly performance converges toward its target.
57
Policy variable
A factor (investment, staffing, training) that managers can adjust to influence the learning rate.
58
Knowledge–behavior–performance chain
59
Practice makes perfect
Informal phrase capturing autonomous & endogenous learning via repetition.
60
What are the two broad pathways through which experience affects performance?
(1) Direct positive effect – routine repetition naturally improves speed/accuracy; (2) Indirect negative effect – when deliberate learning activities (DLAs) temporarily divert attention, productivity may dip before rising.
61
How do experience and deliberate learning (DL) interact under favorable conditions?
Evidence shows both accelerate learning, but DL strengthens the positive relationship between experience and productivity
61
Which learning mode yields higher gains early in production?
Deliberate learning contributes more than raw experience during product development and early ramp-up.
61
Which mode dominates at full-capacity production?
Experience-based learning (learning-by-doing) becomes more valuable once processes stabilize.
62
Why can DLAs trigger a “worse-before-better” effect?
Teams must juggle experimentation with ongoing production, so short-term efficiency often falls before new knowledge pays off.
63
What is the recommended extreme allocation strategy across ramp-up?
Start with 100 % deliberate experimentation / 0 % production experience and end with 0 % deliberate experimentation / 100 % production experience.
64
Name the three classic stages of production.
Product development → Production ramp-up → Full-capacity production
65
Why is stage of production a “key determinant” of learning effectiveness?
Because the maturity of both the process and the knowledge base shifts which learning mode yields the highest ROI.
66
What managerial risk accompanies excessive DL late in production
Diminishing returns—new experiments add little unique knowledge and unnecessarily disrupt throughput. |
66
How should managers adjust DL intensity over time?
Front-load DL (experiments, pilot trials) when uncertainty is high; shift to learning-by-doing as routines settle.
67
Define causal knowledge.
Understanding the relationship between an input and an output (the “why”). |
68
Define control knowledge.
Know-how for keeping an input variable at its target level (the “how”). |
69
When is experience-based learning most effective for either knowledge type?
When the knowledge is under-developed—hands-on practice reveals basic relationships and controls.
69
When is deliberate learning most effective?
When the knowledge is well-developed—structured experiments refine and leverage existing understanding.
70
What does “no one best approach to learning” imply for strategy?
Optimal mix depends on the firm’s knowledge environment—depth of causal/control insight and stage of production.
71
Direct effect (positive)
Immediate improvement in productivity attributable solely to accumulated experience.
72
Indirect effect (negative)
Short-term productivity loss stemming from resource diversion to DLAs.