Upload
james-f
View
222
Download
7
Embed Size (px)
Citation preview
Journal of Applied Psychology1986, Vol. 71, No. 1,61-69
Copyright 1986 by the American Psychological Association, Inc.0021-9010/B6/S00.75
Employee Participation in a Quality Circle Program: Impacton Quality of Work Life, Productivity, and Absenteeism
Mitchell Lee MarksCalifornia School of Professional Psychology—Los Angeles
Edward J. HackettRensselaer Polytechnic Institute
Philip H. MirvisCenter for Applied Social Science
Boston University
James F. Grady, Jr.National Board of Medical Examiners,
Philadelphia, Pennsylvania
The impact of participation in a Quality Circle (QC) program on employee quality of work life (QWL)attitudes and on productivity and absenteeism behaviors was studied among direct labor employeesin a manufacturing firm. Participants (n = 46) and nonparticipants (n = 46) were surveyed beforeand after implementation of the QC program. Multiple regression analysis revealed a positive relationbetween QC participation and changes in QWL perceptions in areas directly involved in QC activitiesbut not in more general work life areas. Given that participants' QWL scores tended not to changeand nonparticipants tended to report decreases in QWL from before to after the QC program imple-mentation, the results suggest QC involvement acted more to provide social support to buffer participantsfrom negative contextual factors than to enhance equality of work life. Organizational records alsowere assessed from 6 months before to 24 months after adoption of the QC program and showed thatQC participation led to improvements in employee productivity and absenteeism rates.
While organizations attempt to make better use of their re-
sources by demanding increased productivity from employees,
many people in the contemporay workforce have their own de-
mands for jobs that allow them to make greater use of their skills
and knowledge, that meet their expectations that work should
be meaningful, and that provide intrinsic rewards (O'Toole,
1977). As an intervention to meet these demands, managers from
many American work organizations are giving attention to
Quality Circle (QC) programs popularized in Japan. Though
some minor modifications do exist across specific applications,
most QC programs tend to share a basic format: small groups
of people who perform similar work voluntarily meet on a regular
basis to discuss, analyze, and propose solutions to work-related
problems. Although directed toward solving job-related quality
problems and improving methods of production, QC activities
are expected to lead also to improved working conditions and
greater opportunities for expression and self-development for
participating employees—aspects of one's "psychological quality
of work life" (Lawler, 1975)—and to increased productivity and
cost reductions (Cole, 1980).
Despite the frequency with which Quality Circle programs
have been adopted in work organizations, there is a paucity of
knowledge generated by independent evaluators using rigorous
methods as to the impact of participation in a QC on employee
attitudes and behaviors. The available reports are limited to tes-
timonials from managers and consultants who have implemented
We thank the two anonymous reviewers for their helpful commentsand Ladd Graham and James Stophcl for their efforts in preparing themanuscript.
Correspondence concerning this article should be sent to Mitchell LeeMarks, Organizational Psychology Program, California School of Profes-sional Psychology, 2235 Beverly Boulevard, Los Angeles, California 90057.
QC programs (e.g., Barra, 1983; Schwartz & Comstock, 1979).
Reported results tend to be unsubstantiated statements such as
"the QC program raised employee morale" rather than carefully
denned or measured changes in work life facets. Some reports,
however, cite behavioral data showing that rates of tardiness,
absenteeism, and work reductions have been reduced for QC
participants (Beardsley & Dewar, 1977; Yeager, 1979).
Although there is little evidence regarding how Quality Circle
participation might specifically influence employee quality of
work life, productivity, and attendance in organizations, much
of the logic of the QC technique follows from broader organi-
zational behavior knowledge. That is, the claims made by QC
proponents—though not scientifically observed within the QC
context—are consistent with the findings observed from other
participative or job design manipulations in organizations.
First, the basic objectives of a Quality Circle program are to
generate high-quality solutions to work-related problems and to
improve communication channels, both hierarchical and lateral.
Quality Circles are claimed to enhance the decision making pro-
cess by providing a setting in which the assets of group decision
making—greater sum total of knowledge, variety of approaches
to a problem, and better comprehension of decision (Maier,
1967)—can be realized. Moreover, QCs are purported to facilitate
communication not only of work-related problems within groups,
but also of organizational goals, procedures, and problems and
opportunities located outside of one's work group. Most studies
show that participation contributes to the amount of information
employees have about decisions and to their feelings of com-
mitment to the successful implementation of decisions (Locke
& Schweiger, 1979).
Next, Quality Circles are said to improve the job characteristics
for those who participate in the technique. The claims of QC
proponents parallel the principles of job design theories, such as
62 M. MARKS, P. MIRVIS, E. HACKETT, AND J. GRADY
Hackman and Oldham's (1980) job characteristics model. QC
participation, it is argued, enhances the degree to which a member
experiences work as meaningful, obtains knowledge of the results
of one's work, and feels a personal responsibility for the outcome
of work. These critical psychological states, then, should lead to
outcomes such as high internal work motivation, high-quality
work performance, high satisfaction with work, and low absen-
teeism and turnover.
Third, QC participation is proposed to contribute to growth
need satisfaction. Participation in a Quality Circle provides op-
portunities to learn and use new skills, make presentations to
company management, and see one's ideas used; all of which
are claimed by QC proponents to satisfy the esteem and related
growth needs. Wong (1979) has shown that successful problem
solving, in itself, can contribute to the satisfaction of growth
needs.
Finally, QC proponents claim that participation in the tech-
nique improves levels of employee productivity and attendance.
The research literature on the behavioral outcomes of employee
participation programs is somewhat limited relative to attitudinal
research. One study, of a program of weekly meetings of super-
visors and workers in a unionized foundry to discuss means of
improving productivity, showed that higher levels of employee
participation were related to increases in a productivity index
incorporating such variables as scrap rate and production output
(Rosenberg & Rosenstein, 1980). Other studies—of job design
and sociotechnical manipulations rather than of employee par-
ticipation programs per se—indicate that the changes in work
life provided by Quality Circle participation are associated with
improvements in employee production and quality rates (Conant
&Kilbridge, 1965; Stewart (cited in Friedlander& Brown, 1971))
and reductions in absenteeism (Hackman & Lawler, 1971).
More central to the QC technique, the activities of identifying
relevant problems and attending to their solution in a systematic
and ongoing way through formal participative activity methods
are suggested as the optimal means for improving employee pro-
ductivity (Athos & Coffey, 1975). Emery and Thorsrud (1969)
suggest that the optimal organizational setting for effective em-
ployee participation in problem solving is the day-to-day work
level, where there are minimal hierarchical disparities between
the participants. This implies that employee behavior is affected
by the social interaction of the participants, a concept integral
to the Quality Circle design.
The claims by QC proponents and findings from organizational
behavior knowledge suggest four research questions to guide an
investigation of the impact of QC participation on employee
quality of work life and behavior:
1. Do Quality Circles achieve their stated objectives of in-
creasing communication and participation opportunities?
2. Does participation in a Quality Circle influence perceived
job characteristics?
3. Does participation in a Quality Circle contribute to growth
need satisfaction?
4. Does participation in a Quality Circle influence employee
productivity and absenteeism rates?
The research presented here is a quasi-experimental field study
that compares changes in perceptions of quality of work and in
productivity and attendance behaviors for participants and non-
participants in a QC program.
Method
Setting
This research was conducted in the manufacturing department of one
division of a decentralized multidivisional corporation. The plant was
located in an urban area in the eastern United States and was nonunion-
ized. Production operations were primarily assembly, with a batch process
used.
In an effort to improve productivity and control costs and simulta-
neously increase decision making opportunities for production employees,
the division management decided to implement a Quality Circle program.
A consulting group, with considerable experience in designing such pro-
grams, was invited to implement a standard QC program. Employees
eligible to volunteer for the program were machine operators. Fifty-three
of the 109 eligible employees chose to participate in the program. All
employees who so desired were trained and placed into Quality Circles.
Six QC groups were established, ranging in size from eight to nine mem-
bers.
The QC program was conducted in a manner typical of the technique.
Circles met 1 hr per week to analyze work problems. Nominal groups,
brainstorming, cause-effect analysis, and fishbone problem-analysis flow
charts all were used by Circle members. No extrinsic rewards were offered
for circle participants or for successful innovations eminating from the
Circles. As with most QC efforts, one incentive of significance for QC
participants was the opportunity to make presentations to plant man-
agement.
Measures
To assess the impact of participation in a Quality Circle on employee
perceptions of quality of work life and on productivity and attendance
behaviors, questionnaire and archival data sources were used.
Questionnaire. As part of a separate, company-wide program to assess
quality of work life in the firm, employee attitude surveys were conducted
at the research site approximately every 2 years. A questionnaire was
designed to tap a wide range of quality of work life facets, with measures
derived from the Michigan Organizational Assessment Package (com-
ponent items and reliability indexes reported in Mirvis & Lawler, 1984
and Seashore, Lawler, Mirvis, & Cammann, 1983).
The survey measurement and QC program were distinct activities at
the research site. The timing of the questionnaire administration, though,
was fortuitous for this study: one survey was conducted at the research
site just prior to the implementation of the Quality Circle program and
a second survey was conducted 20 months after the QC program had
begun. Conversely, the questionnaire had been designed without any in-
tention of assessing the impact of participation in the QC program. Given
the breadth of the QWL questionnaire, however, several scales which
related to the QC program were available for analysis.
Included in the questionnaire were measures of each of the quality of
work life areas covered in the research questins for this study. Measures
of participation and communication available from the questionnaire
were a self-report of the frequency with which suggestions are offered at
work, an item assessing satisfaction with opportunities to take part in
decisions, and scales of work group communication (sample item: "In
my work group everyone's opinion gets listened to") and organizational
communication ("Communication in this organization is really good").
Measures of perceived job characteristics included meaningfulness of work
("The work I do on my job is meaningful to me"), job challenge ("My
job is very challenging"), and job responsibility ("I feel personally re-
sponsible for the work I do on my job"). Measures of growth need sat-
isfaction from the questionnaire included scales assessing opportunities
for accomplishment ("How satisfied are you with the chances you have
to accomplish something worthwhile on your job?') and for advancement
("How satisfied are you with your chances for getting a promotion?").
QUALITY CIRCLES, QUALITY OF WORK LIFE, AND PRODUCTIVITY 63
Table 1
Interconelalions of Dependent Attitudinal Variables
Variable
Communication/participation1 . Suggestions offered2. Participation in decision making3. Work group communication4. Organization communication
Job characteristics5. Meaning
6. Challenge7. Personal responsibility
Growth needs8. Accomplishment
9. Advancement
.20
.08
.04
.04
.18
.15
.02-.07
.66"
.56"
.21
.26'
.05
.71**
.68**
.46"
.17
.25*-.04
.44**
.55"
.20
.15
.25*
.56"
.49"
.63"
.47" .32"
.42" .54** .29*
.53" .59" .22* .82*
*p< .05.
Response scales ranged from one (low) to seven (high) for all measures
except the report of suggestions offered, which ranged from one (low) to
four (high).
Organizational records. Employee productivity and attendance
changes related to the QC program were measured by collecting and
analyzing relevant organizational records. Productivity change is defined
here as the more effective use of existing productivity capacity and does
not include increases resulting from changes in production technology
(Rosenberg & Rosenstein, 1980; Stogdill, 1959). Three productivity
measures were available from organizational records: percentage of hours
spent on production (actual number of hours spent on production divided
by total number of available hours), efficiency rate (number of products
produced within quality specifications divided by Industrial Engineering
output rate), and overall productivity (total hours earned (number of
actual pieces of product produced divided by number of pieces of product
expected to be produced] divided by total hours paid). Additionally, rec-
ords of employee absenteeism were collected and a rate (number of days
per month absent) was computed.
Table 2
Mean Differences Between Time 1 and Time 2 Quality-qf- Work-Life Scores
Time 1 Time 2
Quality-of-work-life measure M SD M
* p< .05. " p< .01.
SD T statistic
Suggestions offeredParticipantsNon participants
Participation in decision makingParticipantsNonparticipants
Work group communicationParticipantsNonparticipants
Organization communicationParticipants
NonparticipantsMeaning
ParticipantsNonparticipants
ChallengeParticipantsNonparticipants
Personal ResponsibilityParticipants
NonparticipantsAccomplishment
Participants
NonparticipantsAdvancement
ParticipantsNonparticipants
2.722.41
4.714.89
4.955.12
3.314.22
6.095.58
5.034.83
6.426.21
5.325.21
4.665.08
1.111.12
1.641.42
1.231.48
1.691.93
.971.59
1.79
1.83
.56
.74
1.611.40
1.711.57
3.442.86
4.793.71
4.94
4.35
3.463.35
6.215.42
5.214.52
6.506.27
5.334.61
4.553.75
.84
.95
1.74
1.68
1.241.24
1.961.76
.911.61
1.641.60
.62
.80
1.071.31
1.571.57
4.24"2.55*
.27-2.74"
-.04-2.50*
.40-2.41*
1.07
-.62
.72-.78
1.00.57
.07-2.07*
-.54
-3.18**
64 M. MARKS, P. MIRVIS, E. HACKETT, AND J. GRADY
Table 3
Multiple Regression Analysis of the Relation Between Participation In Quality Circles and Perceptions of Quality of Work Life
Independent variable
Dependent variables
Suggestions offeredParticipation in decision makingWork group communicationOrganization communicationMeaningChallengePersonal responsibilityAccomplishmentAdvancement
Dependentvariable
at Time 1
r
.3352
.0224
.1139
.1219
.4341
.1998
.4511
.2419
.2083
With participation added
r
.3894
.1211
.17811358.4631.2352.4544.3187.3040
ff
.441.21.65.45.46.61.08.68
1.00
/
5.15*6.63*4.53*1.013.352.73
.396.31*7.28**
*p<.05. " p< .01.
Data for each of the performance measures were collected for a 30-month period, ranging from 6 months prior to the implementation ofthe QC program to 24 months after the program's inception. This lengthof measurement provided sufficient time for QC participants to learn,
implement, and assess QC activities. Average rates then were computedfor 6-month intervals and compared between participants and nonpar-ticipant groups. Time I represents the average rate for the 6 months prior
to QC implementation, Time 2 the average rate for the first 6 months ofQC operation, Time 3 the average rate for months 7-12, Time 4 theaverage rate for months 13-18, and Time 5 the average for months
19-24.Subjects. For the purpose of this study, survey results and archival
data were analyzed only for direct labor production employees in thedivision—the group of employees eligible for the QC program. Complete
95 2-T
90 X-
85 *-
NON-PARTICIPANTS
PARTICIPANTS
80 %-
75 %•UK 1 TIME 2 TIHE3 TIME 4 TIHE 5
Figure L Percentage of total hours per month spent on productionfor participants and nonparticipants in QC program.
QUALITY CIRCLES, QUALITY OF WORK LIFE, AND PRODUCTIVITY 65
information was available from both surveys for 46 of the 53 voluntary
participants in the QC program and 46 of the 56 employees who chosenot to volunteer for the program (the comparison group for this study).
Although group "assignment" was purely on a voluntary basis, theparticipant and comparison groups were comparable on most regards.
The participant group was 80% female, with a mean age of 44 years(SD = 11.5) and a mean tenure of 6 years (SD = 3.8). The comparisongroup was 85% female, with a mean age of 40 years (SD = 12.2) and amean tenure of 5 years (SD = 3.2). A proportionally smaller number of
minority employees participated in the QC program. Minority groupmembers comprised 13% of the participant group and 39% of the com-parison group.
Analysis Plan for Survey Data
The influence of participation in the QC program on quality of worklife perceptions was examined through use of multiple regression analysis.
Dependent variables in use here were the quality of work life measuresfrom the Time 2 survey. The first independent variable entered into eachregression equation ws the score of the dependent variable measured atTime 1, prior to implementation of the QC program. A dummy codedvariable distinguishing QC participants from nonparticipants was enterednext. By entering the Time 1 score of the dependent measure first, theinfluence of a respondent's pre-program score was removed from the
post-program score. Thus, as the participation variable was entered intothe equation, its partial correlation would reflect its relation with thedeviation or change from the first survey measurement (Cohen & Cohen,
1975; Reichardt, 1979). F scores were calculated and tested to determineif participation made a significant increase in resulting r squares for thequality of work life measures and, consequently, had a significant relationwith changes in perceptions of quality of work life from before to afterinvolvement in the QC program.
Results
Quality of Work Life Perceptions
Intercorrelations among the dependent variables are presented
in Table 1. Although significant Intel-correlations exist between
several pairs of dependent variables, it is important to note that
relations among variables within work life facets (i.e., commu-
nication and participation, job characteristics, and growth needs)
tend to be stronger than across work life facets.
Before examining the results of the multiple regression analysis,
it is important to consider the mean scores of the quality of work
life measures for participants and nonparticipants before and
after implementation of the QC program (see Table 2). Partici-
pants reported significant increases in suggestions offered from
before to after the QC program, but not in any other work-life
area. Note that participants registered high pre-program scores
in feelings of work meaningfulnes and personal responsibility.
This suggests the potential for statistical regression in the second
95 X-,
NON-PARTICIPANTS
• • •• PARTICIPANTS
90 X-
•• •• •• ••
85 %-
80 t-
75 *
TIME 1I
TINE 2 TIME 3 TIME TIME 5
Figure 2. Efficiency rates for participants and nonparticipants in QC program (number of products produced
within quality specifications divided by Industrial Engineering output rate).
66 M. MARKS, P. MIRVIS, E. HACKETT, AND J. GRADY
wave of data collection, an effect accommodated by the choice
of multiple regression analysis.
Nonparticipants also reported a significant increase in fre-
quency with which suggestions were offered from before to after
implementation of the QC program, yet indicated less satisfaction
with opportunities to take part in the decision making process
at work. One possible explanation for this is that after the program
ws in place, ideas and suggestions were tossed around on an
informal basis by employees outside QC sessions as well as within
meetings. The norms developed in the QC groups influenced
work life outside the Circles and may have contaminated the
comparison group. The full set of results presented in Table 2,
especially the finding that nonparticipants became less satisfied
with perceived opportunities to influence decision making, sug-
gest, however, that any such contamination was quite limited.
Nonparticipants' perceptions of communication in their work
groups and throughout the organization and of satisfaction with
opportunities for accomplishment and advancement also de-
creased significantly.
With this understanding of the mean survey results for the
two groups before and after implementation of the program, the
relation between participation in Quality Circles and changes in
perceived quality of work life can be examined through multiple
regression analysis.1 With the hierarchical strategy used, resulting
F scores represent the increase in variance accounted for by the
addition of the participation variable. The results, presented in
Table 3, show that involvement in a QC program had a significant
relation to only some of the quality of work life areas claimed
by Quality Circle proponents to be influenced by participation
in the technique. In each case, however, the standardized regres-
sion coefficients (B scores) indicated a positive relation between
the decision to participate and changes in quality of work life
perceptions—those employees who participated in the QC pro-
gram tended to report more positive or less negative changes in
quality of work life perceptions than did nonparticipants.
Question 1. Participation and communication. Involvement
in the QC program was positively related to perceived changes
in opportunities for participation at work. Though both groups
reported offering suggestions more frequently after the QC pro-
gram was implemented, the increase was significantly higher for
employees participating in the QC program. Participation in the
program also was positively related to changes in satisfaction
with opportunities to take part in decision making. However,
participants did not report greater opportunity to participate in
decision making after the QC program was implemented. Rather,
nonparticipants found less opportunity to participate in decisionmaking after the program was in place.
Participation in the QC program was related to changes in
how communication was regarded in work groups, but no dis-
tinction between participants and nonparticipants was found re-
garding communication throughout the organization. Employees
involved in the Quality Circle program found no change in the
communication in their work groups, but nonparticipants felt
the quality of communication within their work groups decreased
between the two survey administrations.
Question 2. Job characteristics. Participation in the QC pro-
gram was not related to changes in perceived job characteristics
or resulting psychological states relevant to job design. No sig-
nificant differences were found between participants and non-
participants in the degree to which jobs were regarded as mean-
ingful or challenging or in taking a personal responsibility for
work performed.
Question 3. Growth needs. Significant differences were found
between participants and nonparticipants in perceived oppor-
tunities for accomplishment and self-development. Participation
in the QC program was positively related to changes in satisfaction
with opportunities to accomplish something worthwhile at work
and to advance in the organization. On both measures, attitudinal
scores dropped from before to after implementation of the pro-
gram for nonparticipants, whereas participants experienced no
change.
Performance Measures
Figures 1 through 4 display average 6-month rates for QC
participants and nonparticipants for the performance measures
for the period spanning 6 months prior to the adoption of the
QC program to 24 months after the program began.2 For each
measure, the pre-program rates (Time 1) for the participant and
nonparticipant groups were identical or, at least, very close. As
can be seen graphically in the figures, improvements were reg-
istered in each area for QC participants. For nonparticipants,
the percentage of hours spent on production and the efficiency
rating were unchanged across the measurement period. Non-
participants recorded a slight increase in the overall productivity
measure and sporadic changes in absenteeism.
T scores were computed comparing the changes between the
Time 1 results (the average rate for the 6 months preceding the
QC program) and the time 5 results (19-24 months after the
program was introduced) for both groups. Significant differences
(p < .01) were found between participants and nonparticipants
in percentage of hours spent on production (T = —6.68), effi-
ciency (T = -7.56), and overall productivity (T = -5.39).3 No
significant difference was found between QC participants and
nonparticipants in changes in absenteeism rate from Time 1 to
Time 5(7"= 1.01). Figure 4, however, shows a sporadic rise and
fall in the absenteeism rate for nonparticipants over the mea-
surement period compared to a relatively consistent downward
trend for the participant group. The nonparticipant absenteeism
rate at Time 5 may represent an uncharacteristic level and not
provide a fair comparison with the participant group rate at
Time 5.
Discussion
The areas where Quality Circle participation was significantly
related to changes in employees' perceptions of quality of work
life can be distinguished from those areas not influenced by the
program. Quality Circle participation had some influence on
employee attitudes in work life areas proximal to the technique'sfunctioning: participation, decision making, group communi-
cation, accomplishing something worthwhile, and enhancing op-
portunities and skills needed for advancement in the organization.
1 Analysis of covariance also was conducted, yielding identical results.2 No significant intercorrelations existed among any of the performance
measures.3 A negative T score indicates a greater increase in a rate for the par-
ticipant group from Time 1 to Time 5.
QUALITY CIRCLES, QUALITY OF WORK LIFE, AND PRODUCTIVITY 67
Yet no effect was observed in communication through the total
organization, job meaningfulness and challenge, or personal re-
sponsibility for work. These quality of work life areas were rel-
atively removed from core Quality Circle activities. It would ap-
pear, then, that the relation between Quality Circle participation
and employee perceptions of quality of work life is limited to
those QWL areas specifically involved as QC functions are being
carried out, yet does not carry over to influence more general
feelings of quality of work life.
Caution, though, must be taken in interpreting the results of
this study. With the exception of reported frequency of sugges-
tions offered, participants in the QC program did not show any
significant change from pre to post measures of quality-of-work-
life attitudes, whereas nonparticipants exhibited lower scores on
many of the measures. It is possible that factors other than QC
participation—both individual difference variables and organi-
zational variables—may have been responsible for the attitudinal
results obtained.
One organizational factor that may have influenced these re-
sults was a major restructuring of the company's divisions that
occurred between the two survey measures. In this restructuring,
the studied division was merged with a much larger division in
the firm. Interviews with key organizational members indicated
that the restructuring took most employees by surprise and that
both management and workers in the division felt that the reasons
for and possible ramifications of the change had not been fully
communicated. Although there had been no direct impact on
the division workforce as a result of the restructuring, substantial
indirect effects on employees were reported. The restructuring
posed a threat to many employees' plans or hopes for advance-
ment in the organization and restricted feelings of job satisfaction
or of accomplishing something worthwhile at work. The failure
to forewarn or discuss with workers about the restructuring, in
contrast with previous organizational norms of providing full
and early communication regarding such changes, directly con-
fronted how employees regarded communication in the company.
As Marks and Mirvis (1983) have shown in the case of interor-
ganizational merger, such indirect effects can have a profound
impact on employees' quality-of-work-life perceptions.
Another contextual factor suggested by organizational leaders
to explain the drop in quality-of-work-life scores from the pre
to post measures was a poor economy. During the time between
the two survey administrations, the local economy in the area
surrounding the studied division was beset by high inflation and
unemployment. Blue-collar workers were hit hardest by the poor
economic conditions, which arguably could have depressed at-
titudes about work and life in general.
Still, quality-of-work-life scores decreased significantly in some
areas only for nonparticipants. Can the observed decreases be
attributed to a lack of participation in the QC program? It is
75 % -,
70 1-
-*- NON-PARTICIPANTS
PARTICIPANTS
65 %-
60 %-
55 % I
TINE 1
ITINE 2
ITIME 3
ITIME
ITIME
figure 3. Productivity rates for participants and nonparticipants in Quality Circle program (total hours
earned [number of actual pieces of product produced divided by number of pieces of product expected to
be produced] divided by total hours paid).
68 M. MARKS, P. MIRVIS, E. HACKETT, AND J. GRADY
doubtful that not being involved in the QC program was directly
related to lowered perceptions of quality of work life, yet an
indirect relation may have existed. The uncertainty and upset
generated from the divisional restructuring and the pains of eco-
nomic hardship left little room for optimistic or cheerful attitudes.
Quality Circle participants were exposed to the same changes in
organization structure and economic situation as were nonpar-
ticipants but did not suffer significant drops in quality of work
life attitudes. An indirect asset of membership in a Quality Circle
may have been that the QC groups were sources of both infor-
mational and emotional social support (House, 1981; Kahn &
Antonucci, 1980) which buffered members from negative atti-
tudinal responses to potentially stress-inducing changes at work.
Quality Circles provided a forum in which employees could re-
ceive clarification from supervisors and distinguish facts from
rumors regarding the restructuring, and commiserate with peers
about economic hardship and real or perceived loss of oppor-
tunities due to the restructuring.
The performance measures clearly indicate a positive impact
of participation in the Quality Circle program on employee pro-
ductivity. Participants in the QC program tended to increase the
percentage of their time spent on actual production and produced
a higher rate of products within Industrial Engineering specifi-
cations. These changes can, at least in part, be attributable to
the Quality Circle process. Prior to the QC program, for example,
machine operators would wait for a set-up person to make a
needed adjustment in a machine or other equipment. From QC
discussions, some employees learned how to make the adjust-
ments on their own, lowering the delay wait and increasing the
percentage of time spent on actual production. Although the
overall productivity rate increased substantially for QC partici-
pants, only a slight increase was found in the nonparticipant
group. This may be a contamination effect, as production changes
developed in Quality Circles were implemented throughout the
production department.
Finally, absenteeism rates dropped consistently for QC par-
ticipants and sporadically for nonparticipants. This may be at-
tributable, in part, to the tough economic times. People who had
jobs may have increased their attendance at work in an effort to
help insure keeping those jobs. Nonetheless, the absenteeism rates
prior to the QC intervention for the participant and nonparti-
cipant groups had been identical for the 6 months prior to the
program start-up. This suggests that QC participation favorably
influenced employee attendance.
SO-i
•h.—s-rrrr̂ x
•
.-*"• NON-PARTICIPANTS
"•" PARTICIPANTS
30-I
TINE 1
I
TINE 2 TIME 3
I
TINE 4
I
TIME 5
(Six-month Intervals)
Figure 4. Number of days absent per month for participants and nonparticipants in QC program.
QUALITY CIRCLES, QUALITY OF WORK. LIFE, AND PRODUCTIVITY 69
Conclusion
The attitudinal results presented here provide, at best, cir-
cumspect support for the claims of Quality Control proponents
that the technique improves participants' quality of work life.
In this particular case, participation in a Quality Circle appears
to have done more to provide informational and emotional social
support to buffer against potential threats to work life quality
than to directly enhance employees' perceptions of their jobs
and work situations. The performance results, however, document
a positive and substantial impact of QC participation on employee
productivity and attendance.
To be fair, this research evaluated one Quality Circle inter-
vention. A major change occurred in the organization soon after
the QC program was implemented and poor economic times
were at hand, both of which may have influenced survey results.
However, change and the economy are facts of organizational
life—an intervention which must rely on an internal or external
environment free of change to produce expected results is of
little value to an organization. Though this was a study of a
single intervention, the Quality Circle program was implemented
and monitored by a consulting group with substantial experience
in QC programs. The program under study can be considered
to be representative of other QC interventions.
Considerably more research on the impact of the Quality Circle
phenomenon is needed. Broader measurement of the quality of
work life facets and performance outcomes claimed to be influ-
enced by the QC technique should be conducted. Certainly, the
human results—both attitudinal and behavioral—of Quality
Circle participation should be investigated more fully across var-
ious applications and organizational contexts. The findings will
tell us not only of the efficacy of the Quality Circle technique
but also will add insight to current knowledge regarding the in-
fluence of employee participation interventions in general on
quality of work life, productivity, and absenteeism.
References
Athos, A. J., & Coffey, R. E. (1975). Behavior in organizations: A multi-
dimensional view. Englewood Cliffs, NJ: Prentice-Hall.
Barra, R. J. (1983). Putting quality circles to work. New York: McGraw-
Hill.
Beardsley, J. E, & Dewar, D. C. (1977). Quality circles. San Jose: J. F.
Beardsley & Associates.
Cohen, J., & Cohen, P. (1975). Applied multiple regression/correlation
analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum.
Cole, R. E. (1980). Work, mobility, and participation: A comparative
study of American and Japanese industry. Berkeley: University of Cal-
ifornia Press.
Conant, E. H., & Kilbridge, M. D. (1965). An interdisciplinary analysis
of job enlargement: Technology, costs and behavioral implications. In-
dustrial and Labor Relations Review, IS, 377-395.
Emery, F. E., & Thorsrud, E. (1969). Form and content in industrial
democracy. London: Tavistock Publications.
Friedlander, F., & Brown, L. D. (1971). Organization Development. An-
nual Review of Psychology, 22, 315-341.
Hackman, J. R., & Lawler, E. E. (1971). Employee reaction to job char-
acteristics. Journal of Applied Psychology, 55, 259-286.
Hackman, J. R., & Oldham, G. R. (1980). Work redesign. Reading, MA:
Addison-Wesley.
House, J. S. (1981). Work stress and social support. Reading, MA: Ad-
dison-Wesley.
Kahn, R. L., & Antonucci, T. (1980). Convoys over the life course: At-
tachment, roles, and social support. In P. B. Baltes & O'Brim (Eds.),
Lifespan Development and Behavior (Vol. 3, pp. 253-286). Boston:
Lexington Press, 1980.
Lawler, E. E. (1975). Measuring the psychological quality of working life.
In L. Davis & A. Cherns (Eds.), The quality of work life (Vol. I, pp.
123-133). New York: Free Press.
Locke, E. A., & Schweiger, D. M.( 1979). Participation in decision-making:
One more look. In B. M. Staw (Ed.), Research in organizational be-
havior (Vol. 1, pp. 265-339). Greenwich, CT: JAI Press.
Maier, N. R. F. (1967). Assets and liabilities in group problem solving:
The need for an integrative function. Psychological Review, 74, 239-
249.
Marks, M. L., & Mirvis, P. H. (1983). Personal and situational factors
influencing employee response to corporate merger. Paper presented at
the 91st annual convention of the American Psychological Association,
Anaheim, CA.
Mirvis, P. H., & Lawler, E. E. (1984). Accounting for the Quality of Work
Lite. Journal of Occupational Behavior, 5, 197-212.
O'Toole, James (1977). Work, learning, and the American future. San
Francisco. Jossey-Bass.
Reichardt, C. S. (!979).The statistical analysis of nonequivalent control
group designs. In T. Cook & D. T. Campbell (Eds.), Quasi-Experi-
mentation (pp. 147-206). Chicago: Rand-McNalley.
Rosenberg, R. D., & Rosenstein, E. (1980). Participation and productivity:
An empirical study. Industrial and Labor Relations Review, 33, 355-
367.
Seashore, S. E., Lawler, E. E. Mirivs, P. H., & Cammann, C. (1983).
Assessing organizational change: A guide to practice. New Ybrk: Wiley
mterecience.
Stogdill, R. M. (1959). Industrial behavior and group achievement: A
theory. New York: Oxford University Press.
Swartz, G. E., & Comstock, V. C. (1979). One firm's experience with
quality circles. Quality Progress, 12, 14-16.
Wong, P. T. P. (1979). Frustration, exploration, and learning. Canadian
Psychological Review: 20, 133-144.
Yeager, E. (1979). Examining the quality control circle. Personnel Journal,
58, 682-708.
Received November 26, 1984
Revision received March 11, 1985 •