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8/12/2019 zohar-301007
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Dov Zohar 1
Management values, Leadership, and
Safety climate
Dov Zohar, PhD
Israel Institute of Technology
Summit meeting, Copenhagen, 2007
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Key ideas
Th e r e i s n o t h i n g m o r e p r a c t i ca l t h a n a g o o d t h e o r y (K. Lewin)
Define climate and culture: both are ill-defined
Identify the sources of climate: culture &leadership
Proper metrics as key to managing culture/climate
W h a t g e t s m e a su r e d , g e t s r e w a r d e d h e n c e m a n a g e d
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.
A practical theory for Safety Climate
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What is organizational climate?
Functional view
Climate reflects shared (socially verified) assessmentsof the workplace, i.e. which behaviors are likely to berewarded &supported (collective sense-making)
Such shared perceptions are valuable in ambiguoussituations: competing operational demands (safetyvs. speed), espoused policies vs. enacted practices
Safety climate reveals the perceived priority or valueof acting safely, as assessed and mutually verified byemployees (leaders daily actions as main cues)
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Climate as indication of true prioritieswalk-the-talk test
Use a safety-climate scale whose items refer tosupervisory/peer practices in situations where safetyand production present competing demands
Members pay special attention in such situationsbecause they provide clearest indication of the truepriorities (role behaviors likely to be supported)
Multilevel model: Strategic and supervisory leadersmay adopt divergent priorities (bounded variation),resulting in distinctive group- and org. level climates
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Measuring climateMultilevel model
Safety-climate scales should identify managerial/peer
practices under competing demands (speed vs. safety)Employees discriminate between practices of senior vs.
supervisory leaders (use different cues)
Scale items (Zohar & Luria, 2005):
My supervisor-
Refuses to ignore safety rules when work falls behind schedule
Is strict about working safely when we are tired or stressed
Senior management -
Quickly corrects any safety hazard (even if its costly)
Considers safety when setting production speed and schedules
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Measurement example: Heavy Steel
21 workgroups (Zohar & Stuewe, 2006)
Before-after; Group and Org. Climates
Group Safety Climates
1.001.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
Department
S
core
1-GL 2-GL avg 1 avg2
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Climate predicts safety performance413 workgroups (Zohar & Luria, 2005)
Org.-levelclimate
Ave. Groupclimates
Operationssafety
0.41** 0.38**
0.44**
Strength
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.
A practical theory for Safety Culture
Where does climate come from?
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What is organizational culture?Scheins 3-tier model
Deep tier: Shared assumptions about world - humannature, work, management, safety (deeply buried)
e.g. Safety as injury; Safety as compliance (discipline)
Surface tier: Wide range of visible expressions, orartifacts (easy to observe but difficult to interpret)
e.g. Many elaborate safety rules; Rule-based training
Middle tier: Espoused values/beliefs, justify companygoals &policies (but discrepancies create ambiguities)
e.g. Safety as no. 1 vs. Safety without disrupting efficiency
Yet, without metrics, culture remains unmanageable(current state of affairs)
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Leaders create cultureOperational framework
Daily verbal exchanges between leader & members isa key source of social influence (concrete task issues)
Symbolic content or sub-text, as perceived by therecipient, identifies deeper culture-shaping messages:
1. True priorities among competing goals, demands2. Formal policies vs. informal recognition (discrepancies)
3. Espoused vs. enacted values (openness vs. authority)
4. Words vs. actions (e.g. empowerment vs. control)
Multilevel model: Senior leaders create org. culture;Group leaders create sub-cultures for each unit
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Improvement of org. culture- it is all about the metrics
Symbolic content (sub-text) of daily leaders exchangesoffer an observable culture metric (% messages):
Recipients as human detectors: use a tailored checklistof perceived sub-textual cultural messages
Quality-control methods: use random sampling ofexchanges (by consent; agreed sampling framework)
Immediate analysis of each sampled exchange, usingrecipients as interpreters (3-min. process)
Remote measurement: use cell-phone &internet tocollect data, analyze it, and offer bi-weekly personal FB
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Measure culture with CEO messages (Marble Works)- Metrics reflect perceived leader messages
-
0%
20%
40%
60%
80%
100%
120%
1 2 3 4 5 6 7 8
- ( (, ( ( ( ) , ( , ) ,
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Measure culture with lower level messages- Metrics reflect daily priorities by subordinates
- II
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
1 2 3 4 5 6 7 8
, , , , , -
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Meeting the safety culture challenge
Senior leader exchanges can change safety culture:
Modify basic assumptions: from safety-as-injury tosafety-as-(ongoing) reliability
Reverse the priority/utility due to the high incentivepower of frequent recognition/attention: Usafe>Uunsafe
Leverage culture to improve safety climate as the key
mediator of employee performance (coffee-filter model)
What gets measured, gets managed (culture & climate)
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Safety culture/climate model
Safety climate mediates org. culture and employeesbehavior it explains 22% of injuries (meta-analysis)
Implementation process
Actions &
Discussions
Employees
perceptions:
Climate
% Safe
operations
Injury rate
Lost days
Disability
Environment
design/ hazards
Management
True Values:
Culture
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.
Applications and interventions
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Intervention example: Oil refinery
Safety exchanges & unsafe operations (%)
0
10
2030
40
50
6070
80
1 5 9 13 17 21 25 29 33 37 41
Weeks
%
Supervisory InteractionsElectric work
Movement in zones
Base-line Intervention Follow-up
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Steel CompanySafety exchanges & safety compliance (%)
T o ta l B -S h o p : D a ily S a fe ty E x c h a n g e s (D S E s )
v e r s u s S a fe O p e r a t io n s (h o u s e k e e p in g )
1 0
1 5
2 0
2 5
3 0
3 5
4 0
4 5
5 0
1 2 3 4 5 6 7 8 9 10
R e p o r ti n g W e e k
%S
afetyExchanges
4 0
4 5
5 0
5 5
6 0
6 5
7 0
7 5
8 0
%S
afeOperations
% S a fe t y E x c h a n g e s % S afe O pe ra t io n s
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Intervention: Fiber-plasticsTwo years later
Adjust Frequency data (*10); Severity data (*100)
0
10
2030
40
50
60
7080
90
100
Injury Frequency
Rate*
Injury Severity
Rate*
% Reliable
Exchanges
% Reliable
Operations
2002 2003 2004
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Conclusions
Practical theory: safety climate and culture can be
defined in a manner that reduces ambiguity Good measurement: use theory-based measurement
scales as the key for research and applications
Third age of safety: shifting from worker complianceto leaders daily practices
Leaders create culture climate: any real changedepends on the companys senior leadership
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.
Thank You