41
Chapter 5 Results II There are two possible outcomes: If the result confirms the hypothesis, then you've made a measurement. If the result is contrary to the hypothesis, then you've made a discovery- Enrico Fermi (1901 -1954) The objective of this chapter is to answer the broad research question of identifying the significance of individual and organizational factors in impacting the value of recognition for employees. This chapter presents the descriptive results of the study, outlines each of the independent variables and their relationship with the dependent variables, presents the regression analysis for the variables, analyses data across the sectors and the organizations and reports employee choices as regards the delivery of recognition. To maintain specificity, the chapter is divided into three sections: Part I presents the descriptive and correlational results and Part II reports the findings from the regression analysis and Part III presents the cross sector and cross organization analysis along with the results on delivery of recognition. 1.0. Part I 1.1. Individual Demographic Variables l.i.i. Age The first demographic variable under study was the employee's age. It was hypothesized that younger employees may differ in their perception of recognition as compared to older employees. The minimum age was 21 while the maximum was 58 with the mean being 35-90 years. The sample was as such -170-

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Chapter 5

Resu l t s II

There are two possible outcomes: If the result confirms the hypothesis, then

you've made a measurement. If the result is contrary to the hypothesis, then

you've made a discovery- Enrico Fermi (1901 -1954)

The objective of this chapter is to answer the broad research question of

identifying the significance of individual and organizational factors in impacting

the value of recognition for employees. This chapter presents the descriptive

results of the study, outlines each of the independent variables and their

relationship with the dependent variables, presents the regression analysis for

the variables, analyses data across the sectors and the organizations and reports

employee choices as regards the delivery of recognition. To maintain specificity,

the chapter is divided into three sections: Part I presents the descriptive and

correlational results and Part II reports the findings from the regression analysis

and Part III presents the cross sector and cross organization analysis along with

the results on delivery of recognition.

1.0. Part I

1.1. Individual Demographic Variables

l . i . i . Age

The first demographic variable under study was the employee's age. It was

hypothesized that younger employees may differ in their perception of

recognition as compared to older employees. The minimum age was 21 while the

maximum was 58 with the mean being 35-90 years. The sample was as such

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dominated by younger employees (less than 40 years of age) who constituted

73.8%, while the older employees were 26.2% of the sample. Age was not found

to have an impact on employee's value for recognition (p>.01). The obvious

inter-linkages found were with years of experience (r=.959) and career stage

(r=.383, p<.01). Age also correlated significantly with an individual's past

experiences of non-monetary recognition (r=.099, p<.05). It is understandable

that with increasing age, the opportunities to experience nonmonetary

recognition would increase. Another significant correlation was found with

organization recognition score (r= -.145, p<.01). This implied that as an

individual matures she or he perceives organization practices as negative.

Age Figure 5.1 Distribution of cases across Age

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1.1.2. Sex

The sample was predominantly male (312) with just 88 women managers. This was

owed to the gende r ratio in the population; more men are part of the Indian

workforce.

The hypothesis that men and women will value recognition differently was rejected

as the correlation was found to be insignificant (p>.01). No other significant

relationship was found between sex and other psycho-social and organizational

factors. Employees' perception of recognition was independent of their gender. This

result corresponds with the finding of researcher's earlier study.

Bar Chart

Male Female

Sex

Figure 5.2 Distribution of Cases across Sex and Age

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1.2. Individual Functional Variables 1.2.1.

Years of work experience

The minimum value for years of experience was one year (since one year of

experience was the inclusion criteria), and the maximum was 36 and the mean being

12.29 years.

20.00 Years of work expe rience

40.00

Mean =12.29 Std. Dev. =8.464 N =400

Figure 5.3 Distribution of cases across years of work experience

This variable was studied to ascertain differences in the perception of employees, but

was found to be insignificant in impacting employee's recognition value score

(p>.01). A positive significant correlation was however established with individual's

self belief about non-monetary recognition (r=.104, p<.01). This

173

30.00

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Results II

could be attributed to the fact that with more experience the opportunities of

witnessing recognition would have been more and as such an individual's belief

would be influenced.

Years of experience also correlated significantly with top management's belief

about non-monetary recognition (r= -.121, p<.05) and organization recognition

score (r= -.166, p<.01). This is to say that as work experience increases employees

perceive top management as not believing in non-monetary recognition and also

become skeptical about the organization recognition practices. Age also

correlated negatively with organization recognition score (r= -.145, p<.01); that is

to say that as one matures, one becomes more vocal about feelings.

1.2.2. Career Stage

The sample constituted of managers from three levels; junior (34%), middle

(52%) and senior (14%). It was hypothesized that managers at senior levels will

value recognition more than the mangers at junior or middle levels. This

hypothesis was however rejected as the difference in manager's perception of

recognition across the three stages was found to be insignificant (p>.01). Career

stage however correlated significantly with self-belief about non-monetary

recognition (r=.105, p<.05) and negatively with senior's belief about non­

monetary recognition (r= .104, p<.01).

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Bar Chart

Male Female

Sex

Figure 5.4 Distribution of cases across career stages

1.2.3. Function

Function referred to the area of expertise for managers or the function in which

they were working at the time of data collection. This was documented under five

specializations of Human resource, Information technology, Sales, Marketing,

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Finance, and Any other. Figure 5.5 depicts the distribution of cases across functions.

No difference was reported across the various functions as regards employee

recognition value score.

Figure 5.5 Distribution of cases across

functions

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Dependent variables

Age Young

" " Old S e x Male

Female Years o f

exper ience Career Stage Junior Middle Senior

Funct ion HR IT

Sales Finance

Marketing Any Other

N

4 0 0

295 105 4 0 0 312 8 8

4 0 0

4 0 0

136 208 56

4 0 0

54 100 66

35 25

120

M e a n

30.47 30.14

30.44 30.19

30.81 29.98 30.88

31.07 30.03 31.21 29.06 29.92

30.41

S D

3.853 4.402

3.927 4.269

3.862

3.977 4.324

4.184 4.118 3-502

5-035 4.010 3.650

r

-.023

-.026

-.024

-.028

-.034

t

.729

.515

F(2,397)= 2.259

F(5,394)= 1.903

Sig .

.650 .276

.607

.426

.632

•573

.106

•093

Table 5.1

Individual demographic and Functional Factors and ERVS

1.3. Individual Psycho-Social Factors

1.3.1. Work Locus of Control (WLOC)

WLOC measures the extent to which the individual is internal or external as

regards the work life. Lower score on the scale implied internality of locus while a

higher score suggested an external locus. The minimum value for an individual

was found to be 17; the maximum was 70 with the mean being 42.29. For

analytical convenience, the variable was classified into four categories of highly

internal, somewhat internal, somewhat external and highly external. The

maximum number of cases were found to be somewhat internal (n=250, 62.5%)

and no case was recorded in the highly external category.

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Results II

The relationship between WLOC and employee recognition value score found

through Pearson correlation was found to be significant and negative (r= -.383,

p<.01). This implied that if an individual's locus of control was external, then

he/she would value recognition less as compared to those with an internal locus

of control. The linear relationship is also validated through the scatter plot.

Figure 5.6 Scatter Plot- Work Locus of Control

Null hypothesis of no difference between the mean value of employee recognition

value score across different categories of WLOC is tested through one-way

ANOVA, and t-tests are done across combinations of two categories for WLOC

(see table 5.1). In each of the cases, null hypothesis is rejected (p<.oi). Thus

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WLOC emerged as a significant factor in determining the value of recognition for

employees.

No significant difference was found between men and women managers as

regards their WLOC. Also age did not indicate any relationship with an

employee's locus of control. Thus no relationship was established between WLOC

and individual demographic factors. Also the individual functional variables of

career stage, years of experience and function did not indicate any relationship

with an employee's locus of control.

However significant correlations were noted with other psycho-social and

organizational factors. Significant negative correlation were established with an

individual's self-belief about non-monetary recognition (r= -.334, p<.01); top

management belief (r= -.298, p<.01); senior's belief about non-monetary

recognition (r= -.245, p<.01); relations with senior (r= -.260, p<.01) and

organization recognition score (r= -.240, p<.01). That is as the value on WLOC

for an individual increases, his/her belief about non-monetary recognition will be

affected. Externals would thus not believe in the power of recognition and they

would also perceive others (top management and superior) to have negative

views on recognition. Consequently externals are skeptical about recognition and

find organization recognition practices as insignificant to their work. The

negative correlation with employee recognition value score is thus explained.

Since externals do not believe in recognition, they as a result do not value it as

much. Likewise as externals find organizational members (top management and

superior) as not believing in recognition, they also find organizational practices

as inconsequential. Furthermore, WLOC correlates negatively with relations with

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superior, that is to say that externals tend to share not as good relations with

superior as internals do.

1.3.2. Past experience with non-monetary recognition

Higher value on the items measuring an individual's past experience indicated a

positive past experience with non-monetary recognition. The minimum value

obtained for this variable was 3, the maximum was 10 and the mean was 7.07.

This implied that most of the employees had an above average positive past

experience with non-monetary recognition. A significant positive correlation was

established between past experience and employee recognition value score (r=

.283, p<.01). This implies that with an increase in the value for past experience,

that is better the exposure/experience with non-monetary recognition, more is

the value associated with it by an employee.

Further analysis involved testing the null hypothesis through one sample t test.

The null hypothesis was rejected since p<.01. Thus with a change in the value of

past experience of non-monetary recognition, the corresponding value of

employee recognition value score also changes. That is the past experience with

non-monetary recognition is an important factor in determining how employees

will value recognition. No significant difference in the past experience of men and

women was established. Linkages with age (r=.099, p<.05) and years of

experience (r=.103, p<.05) were obvious. Career stage and function were not

found to be related to an individual's past experience. The important

relationships were however established between past experience and other

psycho-social and organizational variables. Significant negative correlation (r= -

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Results II

.262, p<.01) is noted between past experience and WLOC which implies that as an

individual's experience with non-monetary recognition is improved or when an

individual has more positive experiences with non-monetary recognition, there is a

shift in his/her locus of control. That is internals tend to have a more positive

experience with non-monetary recognition than externals.

Histogram

Past experience of NMR

Figure 5.7 Descriptive Results- Past Experience of NMR

Also following from social learning theory, it is observed that as an individual's

positive experiences with non-monetary recognition are increased, the individual's

self-belief about non-monetary recognition (r= .331, p<.01) is also enhanced.

Furthermore the individual then perceives the significant others in the environment

(top management (r=.252, p<.01) and superior (r=.383, p<.01) to

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also have a positive belief towards non-monetary recognition. This leads to a positive

perception of organization recognition practices (r=.350, p<.01) and eventually the

individual starts valuing the recognition received (r=.283, p<.01). Positive past

experiences also help improve relations with the superior (r=.291, p<.01).

1.3.3 . Self-belief about non-monetary recognition

The minimum value was 15 and maximum 35 with a mean value of 25.07. A

significant positive correlation (r=.255, p<.01) was established between self-belief

and employee recognition value score which implies that with a stronger belief in

non-monetary recognition the value attached to it will also be higher.

Histogram

Self Belief about NMR

Figure 5.8 Descriptive Results- Self-belief about NMR

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Null hypothesis of no difference in the mean value of employee recognition value

score for different values of self-belief is tested through one sample t test. Ho is

rejected since t value is significant at p<.01.It is thus concluded that individual's

self-belief about non-monetary recognition is an important factor in determining

the value of recognition for managers.

Dependent variables

WLOC Highly

Internal Somewhat Internal

Somewhat Internal

Somewhat External

Somewhat External Highly

Internal Past

Experience Self-Belief

N

4 0 0 116

250

250

34

34

116

4 0 0

4 0 0

Mean

42.29 32.25

29.92

29.92

27.50

27.50

32.25

7.07

25.07

SD

10.186

3 4 4 1

3.867

3.867

4.121

4.121

3.441

1.340

3.478

r

-.383

.283

•255

t

5-559

3.391

6.758

105.552

144.169

Sig.

.000

.000

.000

.000

.000

.000 Table 5.2

Individual Psycho-social Factors and Employee recognition value score

Individual demographic variables (age and sex) were found to be insignificant in

influencing an individual's self-belief about non-monetary recognition. Of the

three functional variables, years of experience (r= .104, p<.05) and career stage

(r=.105, P<-05) were found to establish a significant positive impact on an

individual's self-belief about non-monetary recognition. That is as an individual's

years of experience increased, his/her exposure to non-monetary recognition

would have also increased and consequently his/her belief about non-monetary

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Results II

recognition would also improve. A higher score on self belief also indicated better

relations with superior (r=.101, p<.05)

1.4. Organizational Factors

1.4.1. Top management's belief about non-monetary recognition

The minimum value obtained was 2 and the maximum was 10 with a mean value of

6.53.

Top Management belief about non-monetary recognition

Figure 5.9 Descriptive Results- Top Management Belief about NMR

Significant positive correlation was found between top management's belief and

employee recognition value score (r= .524, p<.01) which implies that employees

value recognition more if the top management of the organization believes in

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Results II

non-monetary recognition. One sample t test was found significant and the null

hypothesis was rejected. Thus top management's belief emerged as a significant

factor in determining the dependent variable employee recognition value score.

Furthermore top management belief was found to be significantly correlated with

other organizational variables. Significant correlation was found between top

management's belief and senior's belief (r=.644, p<.01). That is if the top

management believed in recognition, other managers also nurtured the same

belief. This is primarily because the philosophy and beliefs of top management is

cascaded down to all levels of the organization becoming the organization

culture. It was also noted that as top management's belief in recognition

improved employees tend to share better relations with their superior (r=.376,

p<.01). This is perhaps owed to the correlation between top management's belief

and senior's belief in non-monetary recognition.

Finally top management's belief in non-monetary recognition was found to be

significantly correlated with organization recognition score (r=.702, p<.01). This

implies that as the top management's belief in the power of non-monetary

recognition improves, organization recognition practices are also advanced. This

is obvious because a focus from top management is a prerequisite to the

establishment of any practice in the organization. Top management's belief is

reflected through their active participation which gets translated into setting up

of systems and practices in the organization.

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Results II ¦

1.4.2. Senior's belief about non-monetary recognition

The minimum value obtained was 3 and the maximum was 15 with a mean value

of 10.42 which implied that most of the employees found their superior to have a

positive belief about non-monetary recognition practices.

Senior's belief about Non-monetary recognition

Figure 5.10 Descriptive Results- Senior's belief about NMR

A significant positive correlation (r=.472, p<.01) was found between superior's belief

and employee recognition value score. Null hypothesis was also rejected

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through the one sample t test. Thus superior's belief emerged as a significant

variable in determining the employee recognition value score.

Another important relationship was established between senior's belief and the

relations that an employee shares with the senior (r=.612, p<.01). That is to say

that an individual tends to share good relations with her/his senior if the senior

also believes in non-monetary recognition. When an individual perceives her/his

senior to believe in recognition, they tend to share better relations. Furthermore,

senior's belief was found to have a significant positive correlation with

organization recognition score (r=.678, p<.01) implying that positive belief is a

key factor in ensuring better recognition practices in an organization.

1.4.3. Relations with Superior

Majority of the respondents claimed to share good relations with their seniors

(84% reporting above average relations with average value being 9 on the scale).

The minimum value reported was 3, while the maximum was 15 and 11.36 was

the mean value. Pearson correlation was found significant (r=.393, p<.05) for

employee recognition value score and relations with superior. Null hypothesis

was rejected as t was found to be significant. Relations with superior were thus

critical in determining employee recognition value score to the extent that,

managers sharing good relations with superior valued recognition more than

others.

It was also observed that individual's self belief about non-monetary recognition

influenced the relations with one's superior (r=.101, p<.05). The positive

correlation indicates that as an individual's belief about non-monetary

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Results II

recognition improves, so do her/his relations with super ior. Other significant

correlations were found with top management's belief (r=.376, p<.01), superior's

belief (r=.612, p<.01) and with organization recognition score (r=.445, p<.01). These

relationships indicate that when the general climate in the organization (comprising

beliefs and practices) is favorable for non-monetary recognition, employees tend to

share good relations with their superior. 1.4.4. Organization recognition score

Above average score (organization recognition score >36) was reported by 58% of

respondents; the minimum value being 12, the maximum was 58 and the mean value

at 37.58. Employees thus perceived the organization as performing well in terms of

recognizing the employees.

Organisation Recognition Score

Figure 5.11 Descriptive Results- Organization Recognition Score

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Organisation Recognition Score

Figure 5.12 Scatter Plot- ERVS and ORS

A significant positive correlation (r=.516, p<.01) was established between

organization recognition score and employee recognition value score. That is

higher the organization score, better was the value attached to recognition by

employees. The positive linear correlation is also validated through the scatter

plotinfigure5.12.

The rejection of null hypothesis for all the organizational variables indicates the

significant role played by the variables in influencing the dependent variable

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employee recognition value score. The results of the t tests and F test are reported

in the table 5.3. All values were significant at p<.01 level.

Independent variables

Top management's belief

Superior's belief

Relations with superior

Organization recognition score

N

400

400

400

400

Mean

6.53

10.42

11.36

37.58

SD

1.869

2.408

2.071

8.713

r

.524

.472

•393

.516

t

69.880

86.530

109.664

F=7i9-576 (5, 394)

Sig.

.000

.000

.000

.000

Table 5.3

Organizational Factors and Employee recognition value score

1.5. Controlling for confounding variables: Individual Variables

The above correlation analysis suggested some relationships between the

variables. It is however unclear if the relationships are on account of the

properties of the two variables or is derivative of the effect of another

confounding variable. It is through partial correlation that the true effect of

independent variables on dependent variable may be ascertained. A partial

correlation is what remains of the correlation between two variables when the

correlation with a third variable has been taken into consideration.

As obtained from the first step of analysis, the individual factors that were

significant in determining the dependent variable employee recognition value

score, were the individual psycho-social factors: WLOC (r= -.383, effect

size=14.5%), past experience with non-monetary recognition (r=.283, effect

size=7.8%), and individual's self-belief about non-monetary recognition( r=.255,

effect size=6.3%). The impact made by each of these factors on the dependent

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Results II

variable was analyzed with respect to other factors that may possibly influence

them. The impact made by individual psycho-social factors was thus analyzed in

the light of individual demographic factors (age and sex) which were found as

insignificant in impacting the psycho-social variables. Thereafter the functional

variables were also 'partialled out' and were found as insignificant in impacting

the correlation between the psycho-social factors and the dependent variable.

However when the effect of each of the psycho-social variables was controlled for

another variable from the same category, results were found to be significant. It

was found that WLOC did not correlate substantially with the dependent variable

employee recognition value score when controlled for the variable past

experience with non-monetary recognition. The partial correlation between

WLOC and employee recognition value score with past experience partialled out

was significant: R partial (400) = -.33 with p<.01. Likewise the partial correlation for

WLOC and ERVS when controlled for self-belief was also significant: r partial

(400) = -.327, p<.01. When self-belief and past experience were controlled

together, the correlation between ERVS and'WLOC was reduced significantly

implying the role of the two variables. From r= -.383 at p<.01, the correlation was

reduced to r= -.302 at p<.01.

Control variables

Past experience and Self-belief about NMR

ERVS Correlation Significance df WLOC correlation Significance df

ERVS 1.000 .000 0 -.302 .000 396

WLOC -.383 .000 398 1.000 .000 0

Table 54 Controlling for Past experience and Self-belief

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The effect of self-belief on WLOC was further validated through the regression

analysis which indicated a large (10.9%) effect. Past experience with non­

monetary recognition contributed to a moderate influence on WLOC (6.6%).

Further analysis of individual variables indicated that an individual's past

experiences with non-monetary recognition impact significantly her or his self-

belief about non-monetary recognition with the effect size being 10.8%.

Model

Predictor: Past experience Dependent variable: WLOC Predictor: Self-belief Dependent variable: WLOC Predictor: Past Experience Dependent variable: Self Belief

R

.262

•334

•331

R Square

.069

.112

.110

Adjusted R Square

.066

.109

.108

Standard Error of Estimate 9.842

9.612

3285

Table 5.5 Model Summary- Psycho-Social Variables

1.6. Controlling for confounding variables: Organizational Variables

The influence of the four organizational variables on the dependent variable

employee recognition value score has been validated through the correlation

analysis. It however remains to be seen as to which of the organizational variables

is the most significant and which if partialled out will impact the correlation

between other variables. It was found through partial correlation analysis that the

correlation between organization recognition score and employee recognition

value score was notably reduced when controlled for top management's belief.

Very little of the earlier correlation (r=.516, p<.01) remains after partial

correlation r partial (400) = .245, p<.01. Likewise the correlation between

senior's belief and employee recognition value score was also reduced when

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Results II

controlled for top management's belief, r partial (400) =.207 at p<.01. However

the most significant difference in the correlation between senior's belief and

employee recognition value score was obtained for controlling organization

recognition score and top management's belief together; from r= .472, the

correlation reduced to r= .120 at p<.01.

Control variable

Top Manage ment belief and ORS

ERVS Correlation Significance df Senior's belief Correlation Significance df Top Management's belief Correlation Significance df ORS Correlation Significance df ERVS Correlation Significance df Senior's belief correlation Significance df

ERVS

1.000 .

0

.472

.000 398

.524

.000 398

.516

.000 398 1.000 .

0 .120 .017 396

Senior's Belief

.472

.000 398 1.000 .

0

.644

.000 398

.678

.000 398 .120 .017 396 1.000 .

0

Top Management 's Belief .524 .000 398 .644 .000 398

1.000 .

0

.702

.000 398

ORS

.516

.000 398 .678 .000 398

.702

.000 398

1.000 ,

0

Table 5.6 Controlling for Organization Variables-One

Partial correlation also exposed the important role of relations shared with the

superior; it was found that the correlation between senior's belief and employee

recognition value score, and, the correlation between organization recognition

score and employee recognition value score was significantly reduced when

controlled for relations shared with the superior. This implies that for an

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Results II

employee to value recognition it is imperative that she or he shares good relations

with the superior. See table 5.7

Control variables

Relations with Superior

ERVS Correlation Significance df ORS Correlation Significance df Senior's belief Correlation Significance df Relations with superior Correlation Significance df ERVS Correlation Significance df ORS Correlation Significance df Senior's belief Correlation Significance df

ERVS

1.000 .

0

-516 .000 398 .472

.000 398 •393

.000 398 1.000 .

0

.415

.000

397 .318

.000

.397

ORS

.516

.000 398 1.000 .

0

.678

.000 398 •445

.000 398 .415 .000 397 1.000 .

0

•573

.000

397

Senior's Belief .472 .000 398 .678 .000 398 1.000

,

0 .612

.000 398 .318 .000

397 •573 .000

397 1.000

.

0

Relations with superior •393 .000 398 •445 .000 398 .612

.000 398 1.000

.

0

Table 5.7 Controlling for Organization Variables-Two

The vital role played by top management and the senior is further validated

through regression analysis of the variables. It was found that top management's

belief had a 49.1% effect on the organization recognition score while the senior's

belief had 45.9% influence. Regression model with organization recognition score

as the dependent variable and other organization variables as predictors

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Results II

suggested the importance of top management and senior's belief about non­

monetary recognition in determining the organization's recognition practices.

Model l

R .763(a)

R Square .583

Adjusted R Square •579

Std. Error of the Estimate

5.651 a Predictors: (Constant), Senior's belief about NMR, Relations with senior, Top Mgmt belief about NMR b Dependent Variable: Organisation Recognition Score

Table 5.8 Model Summary (Method: Enter)-DV-ORS

Model 1 2

R .702(a) .762(b)

R Square •492 .580

Adjusted R Square

.491

.578

Std. Error of the Estimate 6.216 5.659

a Predictors: (Constant), Top Mgmt belief about NMR b Predictors: (Constant), Top Mgmt belief about NMR,

Senior's belief about NMR c Dependent Variable: Organisation Recognition Score

Table5.9 Model Summary (Method: Stepwise)- DV-ORS

As evident the value for R has not substantially reduced (from R=-763 to R=.762)

in the second model of regression which excludes the variable 'relations with

superior' implying that the variable is the least significant in determining an

organization's recognition practices.

The impact of 'relations with superior' was however observed with respect to

employee recognition value score. Regression model suggested the relevance of

top management's belief, organization recognition score and relations with

superior in determining how an employee may value the recognition bestowed on

him or her.

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Model l

R .587(a)

R Square •345

Adjusted R Square .338

Std. Error of the Estimate 3.255

a Predictors: (Constant), Organisation Recognition Score, Relations with senior, Top Mgmt belief about NMR, Senior's belief about NMR b Dependent Variable: Employee Recognition Value Score

Table 5.10 Model Summary (Method: Enter)-DV-ERVS

Model R .524(a) .565(b) .586(c)

R Square •274 .319 •344

Adjusted R Square •273 .316 •339

Std. Error of the Estimate 3412 3.309 3.253

a Predictors: (Constant), Top Mgmt belief about NMR b Predictors: (Constant), Top Mgmt belief about NMR, Relations with senior c Predictors: (Constant), Top Mgmt belief about NMR, Relations with senior, Organisation Recognition Score d Dependent Variable: Employee Recognition Value Score

Table 5.11 Model Summary (Method: Stepwise)-DV-ERVS

It is suggested from the regression model that excluding the variable 'senior's

belief leads to better prediction about the dependent variable employee

recognition value score.

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Results II

2.0. Part II

The objective of this section will be to assess the quantum of impact made by the

predictors on the constant or the dependent variable. This will be accomplished

through the regression analysis of each of the variables independently and in

combination with other variables.

2.1. Individual demographic variables

A fairly small and insignificant effect (.2%, p>.05) was recorded for age, implying

that individuals valued recognition irrespective of their age. Like wise for sex also

recorded a small insignificant effect on employee recognition value score (.2%,

p>.05). Age and Sex together contributed to a small effect of 0.4%.

2.2. Individual Functional Variables

Years of work experience had a small (0.2%, p>.05) effect on employee

recognition value score. Similar effects were obtained for functional area (0.1%)

and career stage (0.2%). Together the functional variables contributed to a

miniscule effect of .5%.

The combined effect of individual demographic and functional variables was 1%

making these factors insignificant in determining the employee recognition value

score.

Model 1

R .054(a)

R Square .003

Adjusted R Square -.010

Std. Error of the Estimate 4.020

a Predictors: (Constant), Career Stage, Sex, Function, Age, Years of work experience b Dependent Variable: Employee Recognition Value Score

Table 5.12 Model Summary-Individual demographic and functional Variables

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Results II

2.3. Individual Psycho-Social Factors

2.3.1. WLOC

An individual's internality or externality of locus did show an influence on the

way an individual may value recognition. WLOC had a large effect of 14.5% on the

dependent variable with the standard error of estimate as 3.700.

2.3.2. Past experience with non-monetary recognition

An average effect of 7.8% was reported by an individual's past experience with

non-monetary recognition.

2.3.3. Self-belief about non-monetary recognition

An individual's self belief about non-monetary recognition had a medium effect

of 6.3% on employee's recognition value score.

Altogether an individual's psycho-social variables contributed a large effect of

18.4% on the dependent variable with the standard error of estimate at 3.613.

Model 1

R •436(a)

R Square .191

Adjusted R Square .184

Std. Error of the Estimate

3.613 a Predictors: (Constant), Self Belief about NMR, Past experience of NMR, Final WLOC b Dependent Variable: Employee Recognition Value Score

Table 543 Model Summary-Individual Psycho-social Variables

Taken together the individual factors (demographic, functional and psycho­

social) influence the employee recognition value score to 18.1% (See table 5.14)

which is considered as a large effect on the dependent variable. The normal

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Results II

probability plot indicates the linearity and homogeneity of variance across the

variables. See Figure 5.13

Normal P-P Plot of Regression Standardized Residual

Independent Variables: Individual Psycho-Social Factors

Dependent Variable: Employee Recognition Value Score

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Model 1

R 445(a)

R Square .198

Adjusted R Square .181

Std. Error of the Estimate 3.620

a Predictors: (Constant), Self Belief about NMR, Function, Sex, Age, Past expenence of NMR, Final WLOC, Career Stage, Years of work experience b Dependent Variable: Employee Recognition Value Score

Table 5.14 Impact of Individual Variables

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Results II

2.4. Organizational Variables

2.4.1. Top management belief about non-monetary recognition

It was found that the top management of an organization could influence the

employee recognition value score to a large extent with an effect size of 27.3%.

2.4.2. Superior's belief about non-monetary recognition

An effect of 22.1% was reported by the senior's belief in non-monetary

recognition.

2.4.3. Relations with superior

It was found that an employee's recognition value score was affected to a large

extent of 15.3% by the kind of relations that an individual shares with her or his

senior.

2.4.4. Organization recognition score

The organization's recognition practices had a large influence on the way

employees perceive recognition and value it. Organization recognition score

reported an effect size of 26.5% on the employee recognition value score.

The overall effect of organizational variables on the dependent variable employee

recognition value score was considerable with an effect size of 33.8%

Model 1

R .587(a)

R Square

•345

Adjusted R Square .338

Std. Error of the Estimate

3255 a Predictors: (Constant), Organisation Recognition Score, Relations with senior, Top Mgmt belief about NMR, Senior's belief about NMR b Dependent Variable: Employee Recognition Value Score

Table 5.15 Model Summary- Organization Variables

To further substantiate the results, the above found relationships were controlled

for individual self belief about recognition. The possibility of one's self belief

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Results II

impacting the perception of others was checked with the effect of variable

partialled out for the correlation between top management belief and

organization recognition score. The partial correlation analysis however did not

indicate an influence of one's self belief about non-monetary recognition in

determining other people's perception. The correlation between top management

belief and organization recognition score (r partial (400) =.703 at p<.01) and

between senior belief and organization recognition score (r partial (400) =.679 at

p<.01) was not reduced substantially indicating no effect of one's own self-belief.

Furthermore the correlation between organization recognition score and

employee recognition value score was controlled for self-belief and was found to

have no influence (r partial (400)=-532 at p<.01). These results indicate that the

relationships noted between organization variables were independent of self-

belief of individuals.

2.5. Combined effect of individual and organization variables on

employee recognition value score

The effect of all individual and organizational variables on employee recognition

value score was assessed through regression with both enter and stepwise

methods. It was found that the most important variables that made the

significant impact (effect size= 40.3%) were Top Mgmt belief about non­

monetary recognition , Individual's WLOC, Organization Recognition Score, Self

Belief about non-monetary recognition and Relations with senior.

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Results II

Model 1

R

.647(a) R Square .419

Adjusted R Square .401

Std. Error of the Estimate 3.097

a Predictors: (Constant), Organisation Recognition Score, Self Belief about NMR, Function, Sex, Career Stage, Final WLOC, Age, Relations with senior, Past experience of NMR, Top Mgmt belief about NMR, Senior's belief about NMR, Years of work experience b Dependent Variable: Employee Recognition Value Score

Table 5.16 Model Summary (Method: Enter)- Combined effect

Model 1

2

3

4

5

R

.524(a)

.575(b)

.609(c)

.630(d)

.641(e)

R Square .274

331 370

•397 •411

Adjusted R Square 273 .328 .366

391

.403

Std. Error of the Estimate 3.412 3.280

3.187 3122 3090

a Predictors: (Constant), Top Mgmt belief about NMR b Predictors: (Constant), Top Mgmt belief about NMR, Final WLOC c Predictors: (Constant), Top Mgmt belief about NMR, Final WLOC, Organisation Recognition Score d Predictors: (Constant), Top Mgmt belief about NMR, Final WLOC, Organisation Recognition Score, Self Belief about NMR e Predictors: (Constant), Top Mgmt belief about NMR, Final WLOC, Organisation Recognition Score, Self Belief about NMR, Relations with senior f Dependent Variable: Employee Recognition Value Score

Table 5.17 Model Summary (Method: Stepwise)- Combined effect

It is observed from the model summary that the value for R with all the individual

and organizational variables included is .647 and is hardly reduced with the

exclusion of less important variables R= .641. That is to say that, individual

demographic and functional variables are insignificant and in case of

organizational variables senior's belief is the least significant determinant of

employee recognition value score.

The normal probability plot confirms that the assumptions of linearity and

homogeneity of variance were tenable as all the points lie along the diagonal.

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Normal P-P Plot of Regression Standardized Residual

Dependent Variable: Employee Recognition Value Score

Observed Cum Prob

Figure 5.14 Probability Plot-Individual and organization variables

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Results II

3.0. Part III

3.1. Sector wise analysis

One of the important objectives of the study was to analyze the differences in

employee perception of non-monetary recognition across the two sectors of

economy. Significant differences were noted for organization recognition score

and employee recognition value score for the comparison between the public and

private sectors.

ORS

ERVS

Public

Private

Public

Private

N

112

288

112

288

Minimum

13

12

15

17

Maximum

52

58

39

40

Mean

3399

38.97

29.67

30.67

SD

8.053

8.573

4.145

3915

t

5305

2.249

Sig.

.000

.025

Standard Error

.761

505

392

.231

Table 5.18

Sector-wise differences

It was noted that the mean value for organization recognition score was higher

for the private sector and was significant at p<.01. Likewise the value for

employee recognition value score was also higher in case of organizations under

private sector and was statistically significant at p<.05.

Other significant differences found across the two sectors were in case of

organizational variables. Top management's and senior's belief in non-monetary

recognition was significantly higher in case of private sector organizations

0=3.527, p<.01 and t=2.882, p<.01). Employees were also found to report better

relations with their superior in case of private sector organizations.

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Results II

Top Management Belief Senior's Belief Relations with Senior

Sector

Public Private

Public Private Public Private

N

112

2 8 8

112

2 8 8

112

2 8 8

Minimum

2

2

3 3 3 4

Maximum

10

10

15

15

15

15 Table 5.19

Mean

6.01

6.73

9.87 10.63 10.88

11-54

SD

1.788 1.863

2.499 2.341 2.138 2.019

t

3-527

2.882

2.877

Sig.

.000

.004

.004

Standard Error .169 .110

.236

.138

.202

119

Sector-wise differences in case of organization variables

Individual differences across the two sectors were insignificant (p>.01) with just

self-belief of individuals as higher in case of public sector organization with

p<.05.

WLOC

Past Experience Self-Belief

Sector

Public Private Public Private Public Private

N

112

2 8 8

112

2 8 8

112

2 8 8

Minimum

17

19

4

3 18

15

Maximum

6 6

7 0

10

10

35

3 5

Mean

42.51 42.21

7.14 7.04 2 5 7 4 24.81

SD

8.550 10.767 1.265 1.369 3 3 5 0 3497

t

-.262

-.678

2.431

Sig.

•794

•498

.016

Standard Error . 808

6 3 4 .120 .081

.317

.206 Table 5.20

Sector-wise differences in case of individual variables

3.2. Intra-Organization differences

Comparative analysis of the seven organizations for the mean organization

recognition score and mean employee recognition value score confirmed the

linear positive correlation between the two variables 0=723, p<.01). The line

graph indicates the relationship and also points towards a significant finding. The

graph indicates that with an increase in the value of mean organization

recognition score, (that is as the organization enhances its recognition practices),

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Results II

there is an increase in the score of mean employee recognition value score (that is

the value of recognition for employees is enhanced).

However the value of recognition after reaching an optimum point, starts

reducing with further increase in mean organization recognition score and

achieves a constant state with any further increase in mean organization

recognition score. This constant point is however less than the optimum level

that employee recognition value score had achieved.

mean_orgscore

Figure 5.15 Intra-organization differences

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Results II

One important implication is that organizations must keep a track of its

recognition practices and do not overdo it. It is important to develop a balanced

recognition platform such that employee's value the recognition received. Adding

further recognition forums will not enhance the value of recognition for

employees.

Further intra-organization analysis involved testing the null hypothesis of no

difference in the mean value of employee recognition value score with a change in

the mean value of organization recognition score. One way ANOVA was used and

F value was found significant, that is the difference found was not due to

sampling error, and hence the null hypothesis was rejected. That is to say, an

organization's recognition practices make a critical impact on how employees

value the recognition received.

Comparison of organizations involved analysis of the organization variables so as

to ascertain the differences across organizations. It is illustrated from the values

as shown in table 5.21 that the organization (FMCGi) which has the best values

for organization recognition score also scores the best in terms of other

organization variables. Likewise the organization (public sector organizations)

with the least score for organization recognition score has the least values for

other variables. The correlation between the organization variables as noted in

the earlier section is thus further validated through the cross-organization

analysis.

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Results II

Table 5. 21 Intra-Organization Differences

Organization Variable Top Management Belief

Senior's Belief

Relations with Senior

Organization recognition score

Employee recognition value score

Organization

IT FMCGi FMCG2

FMCG3 ENGG P U B i PUB 2 IT FMCGi FMCG2

FMCG3 ENGG P U B i PUB 2 IT FMCGi FMCG2

FMCG3 ENGG P U B i PUB 2 IT FMCGi FMCG2

FMCG3 ENGG P U B i PUB 2 IT FMCGi FMCG2

FMCG3 ENGG P U B i PUB 2

N

i l l 42

41

42 52 64 48 111 42

41 42 52 64 48 111 42

41 42 52 64 4 8 111 42 41 42 52 64 48 111 42

41 42 52 64 4 8

Minimum

2

4 3 2

3 2 2

3 7 6

3 7 3 3 4 6 6 6 6

3 5 12

19 26 12

23 13 13 17 22 20

23 22

19 !5

Maximum

10 10 10 10 10 10

9 15 14 15 14 15 15 15 14 15 15 15 15 15 15 53 55 56 52 58 50 52 39 39 36 4 0 4 0 39 38

Mean

6.23 7.69 7.10 6.98 6.56 6.30

5.63 9.81 11.62 11.10 10.83 11.06 9.88

9.85 11.32 11.79 11.61 11.21 12.02

10.94 10.81

3 5 9 8 4 4 6 4 40.88

38.57 3 9 6 0

3 3 9 5 34.04 30.26 30.90 30.56 31.79 30.52 30.30 28.83

SD

1.957 1.554 1.546 2.042 1.614 1.866 1.619 2.546 1.860

1.947 2.388

1 9 6 5 2-734 2.173 2.111 1.690

1.935 2.269 1.863 2.309 1.909 8.620

8.354 7.277 8.668

6.774 8.768 7.080

4.333 2.962

3-654 3 8 0 3

3 8 9 3 4.297 3.817

F

6.811

5 6 3 0

2.363

11.487

2.268

Sig.

.000

.000

.030

.000

037

3.3. Delivery of recognition

The study involved identifying the factors important to the recognition process

which when incorporated in the system would increase the value of recognition

for employees. This was accomplished through correlation and regression

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Results II

analysis of independent variables with the dependent variable. Further

investigation involved ascertaining the key elements of delivery of recognition. It

was aimed that a model for delivery of recognition may be designed keeping in

view individual employee's characteristics. It was hypothesized that since

individuals are different there choices as regards the delivery of recognition may

also be different. The results of the data related to delivery of recognition

however corroborated with the earlier quantitative analysis and indicated no

relevance of individual demographic and functional factors in determining the

choices.

Chi-square tests for association across nominal variables were conducted. Null

hypothesis of no difference across sex was checked for deliver setting, form,

forum, timing, person and token. All the chi-square values were found

insignificant (p>.05) and consequently the null hypothesis was accepted. That is

no difference was observed across men and women managers as per their choices

regarding delivery of recognition. Career stage functional area and WLOC were

also tested through chi-square tests and were found insignificant in determining

the delivery design. Results for the delivery of recognition were also similar

across the two sectors. That is to say that the respondents of the study did not

differ at all in their choice of delivery of recognition. As evident from the

table5.22 , the majority of respondents show similar pattern in their choice of

delivery. The most coveted recognition program must involve formal setting,

should be given in a public forum with a written document and a monetary token.

Recognition must be bestowed by the senior or top level manager and must be

given after the performance target has been achieved.

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Results II

Setting: Formal Informal

Total Form: Verbal

Written Total

Person: Senior Team Total

Token: Monetary Non-Monetary

Total Forum: Public

Private Total

Timing: After Achievement

During the process of achievement

Total

Frequency 2 0 0 2 0 0 4 0 0

89 311 4 0 0

3 3 2 68

4 0 0

2 3 5 165 4 0 0

334 66

4 0 0

3 0 7 93

4 0 0

Percent 5 0 5 0 1 0 0 22.2 77.8 1 0 0

83 17

1 0 0 58.8 41.2 1 0 0

83-5 16.5 1 0 0 76.8 23.2 1 0 0

Table 5. 22 Delivery of recognition

The next chapter analyses and discusses the findings from the quantitative

analysis and relates with past researches with the aim of developing

comprehensive knowledge of the phenomenon of non-monetary recognition.

- 2 1 0 -