studies Flashcards

(31 cards)

1
Q

open plan office

A

office where all employees work on same floor within same open space

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

open plan designed to:

A

get rid of individual rooms or areas to
- increase collaboration, creativity, productivity
- network with colleagues+improve friendships
- fit more ppl in space, reduce running costs+building costs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

negatives of open plan

A

high noise level, loss of concentration, privacy issues, health issues(increased stress, more likely flu)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Oldham and Brass(1979) aim

A

examine change in employees’ reactions to work after moving from conventional office to open plane office design

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

oldham+brass method(sample)

A

76 employees at American newspaper
- no filing cabinets more than 3 feet high, no private offices
- workers complete questionnaire 8weeks before move, at 9 weeks, at 18 weeks.
results compared to 2 control groups(5 pressroom staff, quasi control randomly selected at beginning)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

how was data collected in Oldham

A
  • 7 point rating scales measuring characteristics of work environment including
  • work satisfaction(degree satisfied+happy with jobs),
  • interpersonal satisfaction(degree to which employees were satisfied with co-workers, supervisors)
  • internal work motivation(degree to which individual experiences +ve internal feelings when performing effectively on job
  • management+employees informally questioned to gather extra qual data on reactions to open plan office, interviews used to see whether changes to work environment may have occurred simultaneously.
  • researchers were asked abt concentration levels
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

quant findings oldham

A

employee int. mot+satisfaction with work+colleagues DECLINED SHARPLY after moving from trad office to open plan. largely no diff between scores of exp group tested 3 times+quasi-control group->decreased motivation+satisfaction wasn’t a result of order effects from completing questionnaire before/after move
- pressroom controls showed no diff, meaning changes were due to office structure, not the move itself

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

qual findings oldham

A
  • many interviewees described office as ‘fishbowl/cage/warehouse’
    discussed feelings abt lack of privacy, inability to concentrate due to noise(described it as Grand Central)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

-: generalisability of Oldham

A

used data from one company in Midwest USA
- cultural diffs may have contributed to results-not apply to other countries that are more collectivist
may well be that the company had particular characteristics that meant that open plan offices did not suit the workers, or it may be that there were other issues within that caused the results collected

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

-: temporal validity of Oldham

A

1979 open plan offices weren’t common
now they are so people are used to working in them

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Gold et al aim

A

examine impact of work schedule on sleep schedule, sleepiness and accident rates of female nurses in Massachusetts hospital

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Gold methodology

A

questionnaires given to 878 nurses(mean age 33.9) an other auxiliary(support) hospital staff
- nurses recorded for current week, following week, previous two weeks their work shift category at hospital+any other job

  1. rotator (4 days/evening, 4 days night)
  2. day/evening but NO night
  3. nights- 8 shifts in a month, no day/evening
  4. day/evening occasional night shifts
  5. nights with occasional day/evening

nurses asked whether job involved variable work shift(sometimes day/night)
- sleep wake times recorded throughout.
info collected abt sleep quality, alcohol consumption, meds taken, falling asleep at work, falling asleep driving to/from work, errors/near miss accidents in PAST YEAR
- sleep+wake times used to see whether nurse obtained ‘anchor sleep’ at least 4 hours sleep during work days+days off

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Gold results

A

rotators: fewer hours of sleep, more accidents, more near misses than day/evening, as well as night
- falling asleep at work occurred at least once a week in 35% rotators
- 32.4% night nurses, 20.7% day/evening nurses worked occasional nights
- rotators had 3.9x odds falling asleep whilst driving, night nurses had 3.6 times odds compared to day/evening
- adjusting for effects of alcohol/meds, odds reporting any accident/errors x2 more likely for rotators than day/evening, there were 2.5times odds of near-miss accidents

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

-:ve Gold

A

nurses may change answers in questionnaire due to social desirability
- don’t want to get fired/look back due to making mistakes at work

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

how to reduce system errors

A
  • ensure correct display used for information needed (digital display instead of dial)
  • group displays logically- if more than one display for single system
  • use colour to enhance display+warn danger but dont cause eye strain
  • label controls
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Fox et al (1970-83)

A

token economy in 2 open-pit mines USA to reduce injuries from accidents

17
Q

method

A

workers in each mine divided into hazard groups based on lost time injuries during baseline period.
Group 1 jobs least hazardous(75% time in office), Group 4 most hazardous(electricians, scrapers, operators)

ind employees given trading stamps at end of monty with wages if no time lost due to injury/compensation requiring doctor
- num stamps increased depending on level of job hazard

18
Q

what led to more stamps

A
  • safety groups awarded extra stamps for employees who created safety prevention suggestions preventing serious injury
19
Q

what led to decreased stamps

A
  • employees with accident received no stamps for monty if off1-2days/2months if off2-3 days
  • loss of tokens if failed to report accident
20
Q

results

A

both mines time lost significantly decreased, not in 1st year but in 2nd
cost of injury+accidents fell significantly, cost-benefit ratio showed money saved from decline in accidents more than compensated for cost of trading stamps

1st mine: 197->606->214
2nd: 450 -> 501 -> 501

21
Q

Swat (1994-1997) case study w/ longitudinal

A

AIM: develop organisationally useful method of recording risk events in orgs which could help find causes of accidents+prevent them

22
Q

Swat data collection

A

utilised available secondary data on accidents+minor injuries in 4 diff industrial plants in Poland
- Interviews with line managers, safety supervisors, employees

23
Q

sample Swat

A

2964 employees 1993
Sample: 4 industrial plants Lodz, Poland.
all plants chosen were rather OLD and had old equipment
Diff branches: foundry, machinery, meat processing, furniture

24
Q

accident

A

case formally reported as accident by safety supervisor
sudden undesired event connected with workplace resulting in impairment of worker, resulting in sick leave/death

25
accident frequency
number of injury accidents resulting in sick leave per 100 employees within a year
26
accident severity rate
number of sick leave days per accident
27
3 types of info used about accidents in Swat
- collective accident reports from safety supervisors researchers own investigations of accident protocols interviews with safety supervisors and line managers
28
2nd info source in Swat about risk at work
from minor accidents not resulting in death, serious injury/damage only meat processing analysed, with incident defined as any sudden event resulting in personal injury data on first aid cases reported to meat plants analysed as well as interviews with 96 employees, told to report even small injuries
29
results Swat accident frequency(per 100 employees), severity rate(number sick days per accident)
F: foundry(5.9), meat(2.8), machinery(2.1), furniture(2.3) AVG=2.8 S: machine(61.2), meat(41.4), furniture(41.2), foundry(38.8)
30
5 diff accident types in Swat
- falls and slips - accidents connected to manual work - " working parts of machinery - " sources of energy - others manual(meat)->working parts(foundry)->falls->sources of energy(foundry)->other
31
4 essential causes of accidents
- insufficient supervision (89%) - poor workplace organisation - technical factors - individual error of worker ->poor housekeeping (falls, faulty staircases, use of improper tools, unsuitable clothes)