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Page 1: Leadership behavior, budgetary participation and performance
Page 2: Leadership behavior, budgetary participation and performance
Page 3: Leadership behavior, budgetary participation and performance
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WORKING PAPER

ALFRED P. SLOAN SCHOOL OF MANAGEMENT

LEADERSHIP BEHAVIOR, BUDGETARY PARTICIPATIONAND PERFORMANCE

by

Peter Browne 11and

Kenneth A. Merchant

WP 1174-80 November 1980

MASSACHUSETTS

INSTITUTE OF TECHNOLOGY50 MEMORIAL DRIVE

CAMBRIDGE, MASSACHUSETTS 02139

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Page 7: Leadership behavior, budgetary participation and performance

LEADERSHIP BEHAVIOR, BUDGETARY PARTICIPATIONAND PERFORMANCE

by

Peter Brownelland

Kenneth A. Merchant

WP 1174-80 November 1980

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Leadership Behavior, Budgetary Participation

and Performance

INTRODUCTION

During the last two decades, a great deal of behavioral research in

managerial accounting has focused on the question of what constitutes

desirable design features of budgeting systems. The types of criterion

variables employed in studying this basic question have been as broad as

the array of design features studied. The effects of budgetary

participation on performance (Milani, 1975), goal difficulty on goal

commitment (Stedry and Kay, 1966), feedback on attitudes (Cook, 1967) and

acceptability of standards on felt cognitive dissonance (Foran and

DeCoster, 1974) represent just a few configurations of studied variables.

One particular area which has been studied in some depth is on the

effects of varying leadership style in budgetary settings. This area of

research developed out of one of the major conclusions of Argyris' (1952)

seminal work, namely that supervisors tend to employ budgets as means of

expressing their leadership style. Empirical advances along this line of

inquiry have been made possible by the development in the organizational

behavior field of measurement instrumentation for leadership style, most

notably the Leadership Behavior Descriptive Questionnaire (LBDQ) (Stogdill

and Coons, 1957).

While much has been learned from organizational behavior researchers

about the effects of varying leadership styles, the evidence from

accounting research on the question of the impact of leadership style in

budgetary settings has been mixed. This study is aimed, in part, at

clarifying some of the relationships which have been investigated with

limited success in the past.

nno^iq

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PRIOR LITERATURE

An important, early budget-related leadership study was conducted by

Fertakis (1967) and reported on by DeCoster and Fertakis (1968). This

study aimed at investigating the impact on budget-related pressure of two

central dimensions from the LBDQ, consideration and structure initiation.

The results were surprising (at least to the authors) in that they revealed

that both dimensions were significantly and positively related to budget

pressure. It had been hypothesized that only structure initiation would be

so related.

A more recent study by Hopwood (1972, 1974) provided some insight into

DeCoster and Fertakis' result. Hopwood identified different combinations

of the two leadership style dimensions, consideration and structure

initiation, as representing what he called "profit conscious" and "budget

constrained", styles, as he studied the effect of leadership tendencies on

job-related tension. His most interesting result was that unbalanced

styles, that is high on one leadership dimension and low on the other, were

significantly related to the level of job tension. In particular, he

hypothesized that leadership style high on structure and low on

consideration would have a positive effect on job tension.

Although he did not test the question, Hopwood suggested that

leadership balance, via job tension, would probably have adverse effects on

performance. Otley, (1978) extended Hopwood 's work, and provided a test of

this specific question. However his results were contradictory to

Hopwood 's hypothesis, in that higher performance (in terms of budget

achievement) was associated with the tension producing, unbalanced

leadership style.

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The results of both Hopwood's and Otley's studies are important

because they indicate that the most significant effects of a particular

leadership style dimension are most clearly uncovered when this dimension

interacts with, or is moderated by, a second dimension. Specifically,

Hopwood has suggested that unbalanced styles of leadership should be

avoided, although Otley's failure to confirm this result has left open the

question of the direction of the interactive effects. One purpose of this

paper is to provide further evidence on the question.

It should be pointed out at this juncture that the notion that certain

leadership style dimensions interact with other dimensions in their effect

on various criterion variables is not new. Many studies in organizational

behavior have demonstrated this phenomenon (e.g. Fleishman and Ko, 1973;

Misumi and Toshiaki , 1965; Beer 1966; Skinner, 1969; Fleishman and Peters,

1962; Hunt and Hill. 1971; Dessler, 1972, 1973). However, in the context

of managerial accounting generally, and budget system design specifically,

our knowledge of the effects of these interactions is rudimentary at best.

A second purpose of this study is to attempt to unravel the effects on

performance of budgetary participation. Past literature is in considerable

conflict on the question of whether budgetary participation has desirable

consequences or not. Results in the literature range from strong positive

associations between participation and performance (e.g., Bass and Leavitt,

1963; Kenis, 1979), little observable association (French, Israel and As,

1960; Milani, 1975), and, indeed, results which indicate a negative

association (Stedry, 1960; Bryan and Locke, 1967).

One possible explanation for this mixture of results stems from the

failure of researchers to give proper consideration to the "conditional

factors" (Hopwood, 1976) which determine the effects of participation. In

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the context of leadership style, Argyris (1952) made the specific

suggestion that an avowed attempt at high levels of budgetary participation

would, in the presence of inappropriate leadership style, be suspected by

subordinates as manipulative. Argyris coined the term "pseudo-

participation" to describe the resulting perception. Empirical support for

Argyris' contention was provided by French et al . (1966), who showed that

where budgetary participation was provided solely to permit superiors to

employ the resulting budget as a more powerful sanction device, performance

suffered. French, et al . employed two "threat" conditions to

operationalize the superior's style of budget use. The results showed that

under a "high" threat condition, performance was better with lower levels

of participation, while "low" threat levels combined better with higher

levels of participation, as far as performance is concerned. These results

suggested that participation may have very important, but hitherto

unstudied, interactive effects with leadership style characterized by the

LBDQ dimensions discussed above. Thus, a second purpose of this study is

to provide evidence on this question.

HYPOTHESIS

The two separate research questions which provide the focus for this

study can be formalized into three hypotheses. The first question,

concerning the impact of balanced versus imbalanced leadership styles is

left entirely in its null form due to the existence of contradictory

evidence in the literature to date:

H • Leadership balance, defined in terms of the degree of similarity

of levels of structuring and considerate behavior (LBDQ), has no

significant effect on performance.

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The second question concerns the role of budgetary participation as a

moderating influence on the impact of leadership balance. Quite apart from

the results obtained from testing H., this question will focus on the role

of budgetary participation as an influence on the strength of the observed

relationships studied in H.. Two separate hypotheses are formulated for

this second research issue; one concerning the direct effects of

participation on performance, and one concerning the interaction between

leadership balance and participation. As far as the former is concerned,

the mixture of evidence in the literature again calls fo>- a hypothesis

statement in null form:

H^: Budgetary participation has no significant effects on

performance

.

On the latter issue , the interaction between participation and leadership

style, seme positive expectations can be offered. Following Argyris (1952)

and French et al . (1966), it is expected that a significant interaction

will be observed between leadership balance and budgetary participation

affecting performance. Specifically, it is expected that in the presence

of unbalanced leadership styles (that is, styles which are reported high on

one leadership dimension and low on the other ) will seriously impair the

effectiveness of budgetary participation. In its null form, the hypothesis

can be stated as follows:

H_: There is no significant interaction between leadership style

balance and budgetary participation affecting performance.

METHOD

Generally, substantial strengthening of research method is afforded

through an approach which employs multiple measures on variables with a

single set of respondents. Campbell and Fiske (1959) refer to this

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approach as a "multi-method/mono-trait" structure, permitting an assessment

of the reliability and validity of the research measures employed.

However, such an approach does not overcome the problem of generalizability

which might be confined to the population represented by the single sample

employed. Thus, for this study, two quite different research samples were

used to provide the data to test the hypotheses.

Samples

The first sample consisted of forty-eight middle-level, cost-center

managers, involved in production and distribution functions, from a single

manufacturing company. Sample 2 consisted of 201 middle-level manufactur-

ing managers in 19 firms in the electronics industry. The number of

managers questioned in each firm of sample 2 varied from three to 21

depending on the organization's size and willingness to have their managers

spend time on the study.

Measures

The variables requiring measurement in this study are leadership

style, budgetary participation and performance. Leadership style was

measured by using the Ohio State Leadership scale revised LBDQ (Leadership

Behavior Description Questionnaire), Form XII (Stogdill, 1963). This

instrument uses 20 items to measure the subordinates' perceptions of

his/her superior's behavior along two dimensions:

(1) Consideration — of subordinates' ideas and feelings, and

(2) Initiating Structure — the extent to which the superior deffinesthe subordinates' roles.

A sample item f-om the Consideration scale is: "He does little things to

make it pleasant tc be a member of his group," and for the Initiating

Structure scale is: "He lets subordinates know what is expected of them."

Each item is scaled from 1 (Always) to 5 (Never). The measures for each

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dimension of leadership style are computed by summing the scores for the

appropriate 10 questions, and thus the theoretical range for each dimension

is 10-50.

A leadership balance variable was constructed from these scores.

Leadership style was considered balanced and coded +1 if the measures of a

particular superior's style were above the mean on both leadership

dimensions _or below the mean on both dimensions. A style was considered

unbalance, and coded -1, if one dimension scored above the mean, the other

below the mean

.

Budgetary participation was measured by using different, but of course

related, instruments. In the first phase, a direct attempt at measurement

of participation was made through the use of Milani's (1975) 6-item, Likert

scale. A sample item is: "How often does your superior seek your

requests, opinions and/or suggestions when the budget is being set?" This

was scored on a scale of 1 (Never) to 7 (Very frequently).

In the second phase, participation was measured as part of a slightly

modified version of the budget-related behavior instrument developed by

Swieringa and Moncur (1975). This instrument provides a list of 44 related

activities and asks managers to indicate how often each takes place using a

scale from 1 (never) to 5 (always). These data were factor-analyzed, using

the SPSS (Stastical Package for the Social Sciences; Nie et . al, 1975)

inferred factor approach with oblique direct oblimin rotation (with 6=0).

Two budget participation factors emerged with eigenvalues greater than 1.0,

as reported in an earlier paper (Merchant, 1980), and these were labeled:

(1) influence on budget plans, and (2) personal involvement in budgeting.

The items loading en these two factors are presented in Table 1. The

factor scores for these two factors were used as the budgetary

participation variables.

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Performance

The performance measure employed in Phase I was a self-rating of

overall performance. This measure was also used in phase II, but it was

supplemented by asking for ratings from the managers' immediate superiors.

The 201 managers in the Phase II sample reported to 131 different

superiors. Each of these superiors was asked to provide a rating of

overall performance and ratings in each of 15 areas of performance which

were shown by Mahcney (1967) and Mahoney and Frost (197*0 to provide useful

discriminations among organizational performances. The ratings in the 15

performance areas were then factor analyzed to reduce the dimensionality.

Two factors with eigenvalues greater than 1.0 were extracted, accounting

for 60.6? of the total variance. The factor loadings after oblique direct

oblimin rotation (with 6=0) and the percentage of variance explained by

each of the factors are shown in Table 2. The factor scores for these two

factors were used as measures in phase II, and they may be described as

follows :

1. Integration/Results : Extent to which the organization achieves highperformance and meets its commitments.

2. Adaptation : Extent to which the organization suggests and is able to

adapt to new ideas and directions.

Thus, phase II used four performance measures: (1) a self-rating of

overall performance, (2) an overall performance rating from the immediate

superior, (3) a superior-rating of integration/ results , and (4) a superior-

rating of adaptation.

Results

Hypothesis 1

Questionnaires were collected from all forty-eight managers in the

phase I study, a satisfying 100% response rate. However, two sets of data

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were omitted due to improper completion of the performance measure, leaving

the sample size for testing of hypotheses at N=46. In phase II, responses

were received from 170 of the 201 manufacturing managers (85*), and 85 of

the 99 superiors (86?). This yielded a complete set of data, including

participation, leadership style, and self- and superior ratings of

performance for 131 managers out of the original sample of 201 (65%).

Hypothesis 1 was tested via examination of the Pearson correlation

coefficient between the relevant variables, leadership balance and

performance. The results are presented in Table 3. The results are in

partial conflict between phases I and II. In phase I, a significant

negative association emerged, indicating that performance was better under

unbalanced leadership conditions. In phase II, no relationship between

leadership balance and performance was uncovered, except for a significant

positive association with adaptability. This last result suggests that

managers maintain higher levels of adaptability under balanced leadership

styles.

The conflict between the results of the two phases of this study is

similar to a previously noted conflict between Hopwood (1972) and Otley

(1978). Hopwood suggested (but did not show) that poorer performance would

result from a leadership style high on structure but low on consideration

than from more balanced styles. This suggestion is partially in line with

the results of phase II of this study. However, Otley provided conflicting

results which showed that this leadership style was in fact preferred over

others in terms of performance. Otley's result is partially in line with

the results of phase I of this study.

To explore this question further, the effects of each leadership

dimension were examined individually under balanced and under unbalanced

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conditions. Each of the two dimensions was correlated with performance

under each of the two balance conditions and the results are presented in

Table 4. The results of this analysis are interesting. In both phases,

consideration is seen to have a strong favorable impact on performance in

unbalanced conditions while structure has seriously adverse consequences in

the same circumstances. Where leadership style is balanced, however,

structure has either no impact (phase I) or a tendency towards a positive

impact (phase II). These results suggest that structure is resented (with

adverse performance consequences) unless accompanied by a commensurate

level of consideration, in which case structure appears effective. In

other words, the evidence suggests that the effects of each leadership

dimension are moderated by the level of the other. This result is

consistent with previous literature which has shown the existence of

interactions between leadership dimensions. Returning to the main thrust

of hypothesis 1, however, a conservative assessment of the evidence from

both phases suggests that the null hypothesis of no relationship between

balance and performance cannot be rejected. In interpreting this result,

however, the vastly different effects of consideration and structure on

performance in balanced versus unbalanced conditions are worthy of note.

Hypothesis 2

The second hypothesis concerned the direct effects of budget

participation on performance. Table 5 sets out the relevant results. The

results of both phases are consistent. Participation is postively

associated with performance (particularly the self rating version in both

phases). This result is consistent with some previous literature (e.g.

Kenis, 1979) and permits the rejection of hypothesis 2.

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Hypothesis 3

Hypothesis 3 suggested the possibility of an interaction between

leadership balance and participation affecting performance. The results

(presented in Table 6) provide some support for the rejection of hypothesis

3. In phase I, participation has significant positive association with

performance only in the balanced leadership condition. Its effects in

unbalanced conditions still appear positive but are not statistically

significant. A similar result emerges in phase II, particularly on the

involvement dimension affecting the two performance dimensions —

efficiency and adaptability. Strong positive associations in the balanced

condition disappear in the unbalanced condition with the effect of

involvement on adaptability actually tending toward negative.

It should be noted, however, that the self rating measure of

performance in phase II shows an opposite result. That is, participation

shows stronger positive associations in the unbalanced condition. In the

absence of this last result, a tentative rejection of hypothesis 3 would

have been justified, but this conflict illustrates the danger of

generalizing from a single sample. The most likely explanation for these

results is an interaction with one or more contextual influences not

measured in this study.

As a further test for interactions, the correlation coefficients

across the balanced and unbalanced group were tested for differences. The

coefficients were normalized by a procedure outlined by Hoel (197^, p. 167)

and tested for significant differences. Table 7 presents the results of

this analysis. The results support the discussion above.

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SUMMARY AND CONCLUSION'S

The results of this two-phase study show some consistent and some

inconsistent findings. Leadership balance, defined as leadership behavior

being high on both the consideration and initiating structure dimensions,

or low on both, was negatively related to performance in phase I, but a

tendency towards a positive association was noted in phase II. Some

reconciliation of this conflict was achieved by examining the effects of

each leadership dimension on performance in each of the two groups

(balanced and unbalanced). The results showed that initiating structure

was negatively related to performance of individuals reporting unbalanced

leadership styles on the part of their superior. Apparently, structuring

styles require a commensurate degree of considerate behavior in order to

avoid adverse consequences.

The basic conflict between the results of Phases I and II remain as a

curiosity, however. It is possible that interactions with other task-

related variables not studied may hold the explanation. The managers

forming the phase I sample were drawn from a company which faced a

relatively stable production technology while those in phase II were drawn

from a dynamic, fast-growth industry. Higher-level variables, such as

technological or environmental stability, may therefore also interact with

leadership styles.

In both phases, budgetary participation was found to be strongly

associated with performance. While some previous evidence (e.g. Eryan and

Locke, 1967) suggests a reverse relationship, the result is consistant with

the bulk of the evidence from previous literature.

The partial conflict noted between the results of phases I and II on

hypothesis 3 is related to the conflicting results noted on hypothesis 1.

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In both phases of the study, participation was found to exert a stronger

positive influence in the presence of leadership conditions which were

problematic. To elaborate, there was strong evidence in phase I of the

study that performance was better under unbalanced leadership conditions.

Participation, when introduced to the analysis, was found to have strongest

positive effects in the balanced leadership condition. In phase two, where

some evidence of better performance was found in the balanced leadership

condition, participation was seen to positively influence performance more

in the unbalanced condition. In both cases, therefore, participation

tended to ameliorate the performance consequences of less effective

(balanced in phase I, unbalanced in phase II) leadership styles.

The explanation as to why the two phases of this study are in conflict

with regard to the direct effect of leadership balance must await research

results incorporating the effects of other, potentially interactive,

variables, as discussed above. For this same reason, it is necessary to

introduce some important caveats which should be borne in mind when

considering the consistent results of the two phases of this study.

Strictly interpreted, the results cannot be generalized beyond

manufacturing-related functional areas in U.S. corporations. It is not

obvious, for example, that the results can be generalized to other

functions such as marketing for, as Hayes (1977) pointed out, budgeting is

most relevant and important for control of the manufacturing function.

Further research must also address the issue of whether the results hold at

other managerial levels, such as vice-president, and indeed whether the

results hold at all in corporations in other countries. On this last

point, Hofstede (1967) concluded an extensive survey of budgeting practice

with the cross-cultural caveat that "the game of budget control (as he

describe it) is a Western game" (p. 281, parentheses added).

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On the positive side, the strength and value of the results on which

phases I and II are in agreement should not be overlooked. Given the

vastly different industrial settings studied, and methods used to gather

data in each phase of this study, consistent results emerging in each phase

should be viewed as particularly strong since mutual validation of the

instruments used in each phase effectively results. This point is

particularly relevant in the case of the vastly differing approaches

employed to measure budgetary participation.

Future research, aimed at clarifying some of the conflicting results

of this study, is needed in much the same way as this study was motivated

by conflict from past research. Similarly, we should not lose sight of the

need to give careful thought to research designs which build in a basis for

assessment of empirical measures used. Without the study of both higher-

order variable interactions and research instrument validity, it will be

impossible to attribute conflicting results to the two possible causes of

higher-order interaction and "instrumentation-interaction".

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Table 1

Factor loadings of Participation Variables

Factor Title and items Loading >.4Q

INFLUENCE ON BUDGET PLANS

The budget is finalized only when I am

satisfied with it.

New budgets induce changes I havesuggested

.

PERSONAL INVOLVEMENT IN BUDGETING

I investigate favorable as well as

unfavorable variances for my department.Preparing the budget for my departmentrequires my attending to a great numberof details

.

I personally investigate budget variancesin my department.

Loading

.67

.66

,52

52

47

Percentageof Variance

13. 4

4.7

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16-

Table 2

Factor loadings of Participation Variables

Factor Title and items Loading >.1Q

INTEGRATION/RESULTS

Planning. Avoidance of distruption and lost

time due to scheduling and coordinationproblems

.

Reliability. Meet objectives without need for

checking and follow-up.Coordination. Coordinate activities with other

organization units in advance.

Cooperation. Observance of schedulescommitments to other organizational units.

Results emphasis. Emphasis on results and

output, not procedures.Delegation. Degree of delegation by

supervisors within the department.Productivity. Efficient use of resources.Cohesion. Lack of complaints, grievances,

conflict within department.

Loading

Quick to adapt to change and new

ADAPTATION

Flexibilityideas

.

Initiation. Initiate improvements in workmethods and operations; make suggestions.

Innovation. Exhibit creativity in developmentof new products, new services.

.97

.87

.81

,76

,72

.65

.61

60

Percentageof Variance

86

82

67

53.4

7.2

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Table 3

Correlations between leadership balance and performance

Balance

Sample size

Significance

Phase I Phase ]

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Table 4

Correlations between leadership dimensions and

performance under each balance condition

Balanced

Consideration

InitiatingStructure

Sample size

Unbalanced

Consideration

InitiatingStructure

Sample size

Phase I Phase II

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Table 5

Correlations between participation and performance

Overall

Influence

Involvement

Phase I

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Table 6

Correlations between participation and performancein each of the balanced and unbalanced conditions

Balanced

Overall

Influence

Involvement

Unbalanced

Overall

Influence

Involvement

Phase I

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Table 7

Tests of Significance of difference between correlationcoefficients in balanced versus unbalanced groups

Participation

Influence

Involvement

Phase I

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7 5 k\ u 2 3

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