Impact of Leader Member Exchange on Customer Service Experience

 

Dr. Mushtaq A Siddiqi1, Owais Ahmed2

1Associate Professor, The Business School, University of Kashmir, Srinagar.

2Ph.D Scholar, Punjab Technical University, Jalandhar, Punjab, 144601.

*Corresponding Author E-mail: drmushtaqs@gmail.com; salsaabiill@yahoo.com

 

ABSTRACT:

Leader Member Exchange being, an emergent leadership theory has found valuable applications across all sectors of any economy. Organizations whether manufacturing or services find LMX as of strategic significance for beating competition, meeting organizational goals, objectives, employee satisfaction, and consumer loyalty. Leader Member Exchange theory has been associated with various employee job attitudes like engagement, involvement, satisfaction, and commitment etc., in recent past. However, no research study has been conducted to study the influence of Leader Member Exchange on customers’ service experience. This study is conducted in several services setting like insurance and banking operating in the state of Jammu and Kashmir, the northern most part of India to plug the given  research gap. Besides, several major findings and limitations, the study also highlights the need and ways of promoting LMX at work place to fosterservice quality experience, so vital for service firm’s performance.

 

KEY WORDS: Leader Member Exchange, Service Quality Perception, insurance, banking, India.

 

 

 


INTRODUCTION:

Leader-Member Exchange Theory believes that leaders or supervisors prefer few subordinates as their group members. Subordinates selected as in group members share mutual understanding, resources, information, responsibility with their immediate supervisors. However, subordinates that form out group member status are deprived of benefits like participation in decision making, performing challenging tasks, innovate etc.

 

Leaders share high quality relationships with their in-group members and low quality relationships with out-group members. LMX has been found having significant impact on employee job attitudes, performance, productivity, and profitability etc. However, least research has been conducted to examine the status of relationship between LMX and service quality in insurance and banking sector, of Kashmir region, of the State of Jammu and Kashmir, India. Therefore, the current study would be an Endeavour to explore the influence of LMX on service qualityin insurance and sectors of service economy of the State of Jammu and Kashmir, the northern most part of India.

 

REVIEW OF LITERATURE:

Leader Member Exchange Theory  (Dansereau et al., 1975; Graen and Cashman, 1975), is based on the principle of reciprocity i.e. leaders and members share mutual understanding and responsibility of each other’s needs and authority (Graen and Cashman, 1975) i.e. both parties exchange  favours for  each other either simultaneously or expectation of receiving in future. LMX suggests that leaders form different relationships with their subordinates in the form of high and low quality relationships. High quality relationships are characterized by more leader attention, loyalty (Dansereau, et al., 1975), trust, autonomy, resources, respect, etc (Graen and Scandura, 1984)given by leader to his immediate subordinate. Cooperation, compliance etc, is exchanged by subordinate (Sparrowe and Liden, 1997) in return and thus form in-groups. Low quality relationships are controlled by formal contracts and economic exchanges (Sparrowe and Liden, 1997) like routine tasks, role defined, etcand thus form out-groups. In-groups are preferred by leaders by finding personality identification match interms of characteristics like aggression, extroversion, agreeableness, emotional stability etc. Out-groups are being perceived as lacking competence, abilities, skills, responsibility, decision making etc. Also, constraints like time, scarce resources, personality clash etc, limit the scope for forming high quality relationships.

 

LMX is a multidimensional construct having dimensions like affect, contribution, loyalty and professional respect. Affect represents mutual liking of leader and member based on similar interests, outside work context, thus form more informal than work based relationship. Liden and Maslyn (1998) stressed that this construct impacts attitudinal than behavioural outcomes, such as job satisfaction, organizational commitment and perceived organizational support. Loyalty represents the support for each other by leader and member while defending each other’s point of view in public. Leaders who are loyal to their members feel confident in their abilities and will give them more autonomy, responsibility and personal judgment (Liden and Maslyn, 1998) while handling different projects. Contribution deals with individuals who are seen more capable and are given difficult tasks to complete. They also receive more resources like equipment’s, material, budgetary support etc. Since, dimension is work related; it impacts employee behaviours like job performance and OCB (Ansari, et al., 2008; Liden and Maslyn, 1998). Professional respect represents the repute that an employee or supervisor has about performing his job with excellence. There is a possibility of forming perceptions about such an individual before meeting or seeing him by simply hearing from others about his qualities in an organization. Such candidates may be the right choice for supervisors to form high quality relationships with.

 

Service Quality.

Service quality refers to meeting of consumers expectations (Lewis and Mitchell, 1990). Service quality also defined as difference between consumer expectations and perceived service. Therefore, service quality tend to be better when perceived service exceed expectations or vice versa better (Parasuraman et al ., 1985). Several researchers in the past, have put various models for measuring service quality. Gronroos developed first model in 1982. Gronroos identified three components of service quality namely, technical (actual outcome), functional (how delivered or process of delivery) and image of organization based on performance of above two attributes. Cronin and Taylor, 1992 developed SERVPERF model that uses performance approach method which measure service quality based on consumer’s overall feeling towards service. Teas in 1993 developed Evaluated Performance model that measures the gap between perceived performance andthe ideal amount of a dimension of service quality rather than consumer expectation. Parasuraman et al., 1985 developed SERVQUAL model that measure service quality along five dimensions like tangibles, reliability, responsiveness, assurance and empathy. Tangibles include (physical facilities, equipments, staff uniforms, buildings, parking, walls, etc), reliability include(ability to perform promised service dependably and accurately), responsiveness (willingness to help consumers and provide prompt service), assurance include (knowledge, competence, credibility, courtesy), empathy (access, communication, understanding consumer).

 

 

LMX and Service Quality.

Service Quality, the basic and fundamental tenet that defines the image and creates a favourable perception in the minds of prospected customers, is considered as the core strategy in today’s highly dynamic and competitive service environment. Employees in service sector act as ambassadors of an organization. Employees represent organizational values, service products to external customers of service organization. Employees in service organizations are responsible for creating perception of service quality, repeat purchases, customer satisfaction, retention, loyalty and organizational image. However, employee performance is influenced by factors like relationship with supervisors, co-workers, job attitudes, organizational support, etc.

 

Supportive communication being an important aspect of LMX has been described as discourse that builds relationships (Bass, 1990; Whettonand Cameron, 1995) and demonstrates sensitivity to others. SSC includes activities like praising employees for their job performance, providing encouragement for their work efforts, listening to their concerns, making efforts for their growth and  development, understanding and assessing their needs, solving their problems, etc. SSC, infact represents a vehicle through which supervisors may not only communicate their supportiveness for their subordinates but may also let employees form perceptions about the same, so as to inculcate among them  the behaviour of reciprocation to achieve  group as well as organizational objectives.

 

Another aspect of LMX that is psychological empowerment was given by Thomas and Velthouse (1990) and comprises of four dimensions namely, meaning, self-efficacy or competence, self-determination and impact. Supervisory support has been found to enhance employee levels of empowerment (Keller and Dansereau, 1995). Aryeeand Chen, (2006) also found positive correlation between LMX and psychological empowerment. Many studies have shown that high quality LMX relationships enable subordinates to sense more empowerment (Liden, 2000; Aryee and Chen, 2006). Positive relationship between LMX and self-efficacy has been confirmed in a longitudinal study by Murphy and Ensher (1999) and in studies of German workers by Schynsand Von Collani (2002) and Schyns et al., (2005), a positive correlation between LMX and self-efficacy was also found.

 

Innovative behaviour yet, another outcome of effective LMX and essential for efficient delivery of services refers to bringing of new problem solving ideas into use, so as to enhance a product, service or process. Innovations are communicated through a social system linked by a network.  Social Exchange Theory is of the opinion that innovation is not possible without organizational and supervisor support (Yukl, 2002) have argued that LMX is necessary for creativity and innovation.Since, LMX or supervisory support and communication have been associated with better employee performance, psychological empowerment, innovative behavior, mutual respect, confidence, trust, etc which are essential factors for achieving better physical appearance in service settings, effective service delivery and superior performance or meeting all five dimensional requirement of service quality. We therefore, hypothesize that LMX is positively related to service quality Thus, our hypothesis would be as under:

 

H1: LMX is positively related to customer’s perceived quality about tangibility.

H2: LMX is positively related to customer’s perceived quality about reliability.

H3: LMX is positively related to customer’s perceived quality about responsiveness.

H4: LMX is positively related to customer’s perceived quality about assurance.

H5: LMX is positively related to customer’s perceived quality about` empathy.

 

METHODOLOGY:

The methodology includes exploring the causal relationship between LMX and service quality The details of methods followed are as under:

 

Data Collection Method and Sample Size.

Structured questionnaires are hand distributed among middle management,front line employees and customers while conducting the survey. Perception of LMX quality between supervisors and subordinates are recorded by averaging out the scores of supervisor and subordinate responses. Supervisors are asked to evaluate their relationship quality with their immediate subordinates and vice versa. Further, each subordinate or frontline employeeis handed over three questionnaires to distribute these among consumers who have been associated with the organization. Each consumer is asked to evaluate the service performance of the given front line employee and the score related to perception of each service quality dimension is then averaged out from the responses of these three consumers. Supervisors, frontline employee and each consumer are linked through a common code to facilitate convenient and hassle free linking process for establishing causal relationship. Mean scores averaged out from employee perception of LMX quality is then associated with the mean scores averaged out from consumer perception of service quality to identify any correlation or causal relationship. A sample size consist of 500 respondents with 100 supervisors or leaders, 100 sub-ordinates or frontline employees and 300 customers from Life Insurance Corporation (LIC) and State Bank of India (SBI).However, a total of 350 questionnaires comprising of 70 questionnaires from supervisors, 70 from subordinates or frontline employees and 210 questionnaires from customers were received, thereby, making response rate of 70 % possible.  Several techniques like factor analysis, correlation and multiple regression analysis are used to validate the causality between LMX and service quality dimensions. The survey is conducted in the state of Jammu and Kashmir.

 

The Questionnaire and their Purification.

Graen et al. (1982) 7-item LMX measure was used to assess LMX relationship. Graen and Uhl-Bein (1995) recommended the use of LMX-7 over other measures after conducting review of LMX development over last twenty-five years. Cronbach alpha for the current study is estimated at .69. Service quality is measured using SERVQUAL instrument by (Parasuraman, et al., 1988). SERVQUAL instrument consist of 22 statements measuring five dimensions like tangibles, reliability, responsiveness, assurance and empathy. Overall,Cronbach for all five dimensions in  the current study is estimated at .67.

 

ANALYSIS AND RESULTS:

Using, varimax rotation, the principal component factor analysis was administered for reduction of the data. The KMO value of 0.69 and significance of Bartlett’s test was at 0.00 level indicating the sampling adequacy for conducting factor analysis Items those indicated low factor loadings (<0.40), high cross-loadings (>0.40), or low communalities (<0.30) were eliminated for further analysis. All factors exhibited satisfactory alpha reliability coefficients, ranging between0.56 and 0.88.

 


 

 

Table 1: Factor Extraction Results.

S.No.

Variable.

Items.

Factor Loadings.

% Age of Variance.

1.

LMX.

Do you know where you stand with your supervisor…do you usually know how satisfied your leader is with what you do?

0.66

 

0.58

0.67

 

0.49

 

0.46

 

0.61

0.69

 

0.69

0.26

 

0.19

0.27

 

0.24

 

0.18

 

0.27

0.21

 

How well does your supervisor understand your job problems and needs?

How well does your supervisor recognize your potential?

Regardless of how much formal authority he/she has built into his/her position, what are the chances that your supervisor would use his/her power to help you solve problems at work.

Again, regardless of the amount of formal authority your supervisor has, what are the chances that he/she would “bail you out,” at his/her expense?

I have enough confidence in my supervisor that I would defend and justify his/her decision if he/she were not present to do so?

How would you characterize your working relationship with your supervisor?

Cronbach alpha                                                                                           

Note: LMX- Leader Member Exchange; Source: Data collected by Scholars for the study


 


Table 2: Factor Extraction Results.

S.No.

Variable.

Items.

Factor Loadings.

% Age of Variance.

1.

TS

Organization have up to date Equipments

0.65

0.61

0.65

0.67

0.27

0.23

0.25

Physical facilities are virtually appealing

Employees are well dressed and appear neat

Physical environment of the organization is clean

Cronbach alpha

Note: TS- Tangibles; Source: Data collected by Scholars for the study.

 

 

Table 3: Factor Extraction Results.

S.No.

Variable.

Items.

Factor Loadings.

% Age of Variance.

1.

RL

When employees promise to do some thing, by a certain time, they do it

0.66

0.62

0.65

0.54

0.46

0.68

0.26

0.24

0.25

0.23

0.17

When customers have problem, they show sincere interest in solving that

Organization perform the service right the first time

They provide service at the promised time

They keep their records accurate

Cronbach alpha

Note: RL: Reliability; Source: Data collected by Scholars for the study.

 

 

Table 4: Factor Extraction Results.

S.No.

Variable.

Items.

Factor Loadings.

% Age of Variance.

1.

RN

Employees make information easily obtainable by consumers

0.63

0.61

0.64

0.57

0.66

0.21

0.23

0.24

0.23

 

Employees give prompt service to consumers

Employees are always willing to help consumers

Employees are never too busy to respond to consumer requests

Cronbach alpha

Note: RN: Responsiveness; Source: Data collected by Scholars for the study.

 

 

Table 5: Factor Extraction Results.

S.No.

Variable.

Items.

Factor Loadings.

% Age of Variance.

1.

AS

The behavior of employees instill confidence in consumers

0.61

0.63

0.68

0.59

0.65

0.18

0.23

0.29

0.22

 

Consumers feel safe in their transactions with employees

Employees are polite to consumers

Employees have knowledge to answer consumer questions.

Cronbach alpha

 Note: AS-Assurance; Source: Data collected by Scholars for the study.

 

Table 6: Factor Extraction Results.

S.No.

Variable.

Items.

Factor Loadings.

% Age of Variance.

1.

EM

Organization gives consumer individual attention

0.61

0.63

0.68

0.59

0.61

0.65

0.18

0.23

0.29

0.22

.18

Operating hours are convenient to consumers

Employees give personal service to consumers

Organization have consumer interest at heart

Employees understand the specific needs of consumers

Cronbach alpha

 Note: EM-Empathy; Source: Data collected by Scholars for the study.

 

 


Influence of LMX on Customer’s Perceived Quality about Tangibility.           

Initially, inter-item correlation between LMX and tangibility dimension of service quality was conducted.  The results revealed are presented in Table 7. The Pearson’s correlation coefficient of (r = 0.31) reveals a positive and significance level (p < .01 to .05) relationship between LMX and tangibility. Also, the influence of LMX on tangibility is analyzed and understood, using a specialized technique of data analysis i.e. multiple regression analysis, represented as: Y1= bx1 + bx2+ ……… + bx7.Where ‘Y1’ represents dependent variable i.e. tangibility and ‘x1 to x7’ represent 7 items or statements of independent variable i.e. LMX. The SPSS tool of data analysis was used to analyze data through multiple regression analysis technique, where in data pertaining to dependent variable i.e. tangibility were recorded as‘Y1’  and data pertaining to independent variable i.e. LMX were recorded as ‘x1 to x7’. The results obtained are presented in Table 8. All items of LMX are negatively influencing on tangibility with item no 5, being the most influential with (b=.38, p< .05). Item numbers 7, 6, 3, 4 and 2 represents the decreasing order of influence on tangibility with regression coefficients (b=.37, .36, .36, .33and .29 respectively) with significance level of (p < .05). Item no 1, representing the least influence among all items of LMX on tangibility with regression coefficient i.e. (b=.28, p < .05). The overall influence of LMX on tangibility i.e. (R2=.36), reflecting a 36% variation in the dependent variable. Taking together, these results evidences that there exists a negative relationship between LMX and tangibility, thus supporting the hypothesis H1 i.e. LMX is positively related to customer’s perceived quality about tangibility.


 

Table 7:Descriptive Statistics (mean standard deviation and Pearson’s correlation coefficients and alpha values of the constructs).

S.No.

Variables.

Mean.

Standard Deviation.

1

2

3

4

5

6

Cronbach Alpha

1.

LMX.

3.10

0.71

1

 

 

 

 

 

0.69

2.

Tangibility

3.21

0.68

0.31

1

 

 

 

 

0.67

3.

Reliability

3.24

0.59

0.33

0.32

1

 

 

 

0.65

4

Responsiveness

3.27

0.61

0.39

0.31

0.29

1

 

 

0.66

5

Assurance

3.19

0.64

0.37

0.23

0.31

0.26

1

 

0.63

6

Empathy

3.18

0.57

0.31

0.25

0.24

0.28

0.33

1

0.64

*All Significant from < .01 to < .05; Source: Data collected by Scholars for the study.

Note: LMX- Leader Member Exchange.

 

 

Table 8: Regression Coefficients from Multiple Regressions between LMX and Tangibility.                                                              

S.No.

Independent Variable.

Dependent Variable.

LMX (Subordinate Version Items).

Tangibility

1.

Do you know where you stand with your supervisor…do you usually know how satisfied your leader is with what you do?

0.28*.

2.

How well does your supervisor understand your job problems and needs?

0.29 *.

3.

How well does your supervisor recognize your potential?

0.36*.

4.

Regardless of how much formal authority he/she has built into his/her position, what are the chances that your supervisor would use his/her power to help you solve problems at work.

0.33*.

5.

Again, regardless of the amount of formal authority your supervisor has, what are the chances that he/she would “bail you out,” at his/her expense?

0.38*.

6.

I have enough confidence in my supervisor that I would defend and justify his/her decision if he/she were not present to do so?

0.36*.

7.

How would you characterize your working relationship with your supervisor?

0.37*.

 

R2

0.36

Note: LMX- Leader Member Exchange...

*All Significant at < .05;   Source: Data collected by Scholars for the study.

 


Influence of LMX on Customer’s Perceived Quality aboutReliability.

Initially, inter-item correlation between LMX and Reliability, was conducted.  The results revealed are presented in Table 7. The Pearson’s correlation coefficient of (r = 0.33) reveals a positive) and significance level (p < .01 to .05),  between LMX and Reliability. Also, the influence of LMX on Reliability is analyzed and understood, using a specialized technique of data analysis i.e. multiple regression analysis, represented as: Y2= bx1 + bx2+ ……… + bx7.Where ‘Y2’ represents dependent variable i.e. Reliability and ‘x1 to x7’ represent 7 items or statements of independent variable i.e. LMX. The SPSS tool of data analysis was used to analyze data through multiple regression analysis technique, where in data pertaining to dependent variable i.e. Reliability were recorded as‘Y2’  and data pertaining to independent variable i.e. LMX were recorded as ‘x1 to x7’. The results obtained are presented in Table 9. All items of LMX are positively influencing on Reliability with item no 7, being the most influential with (b=.38, p< .05). Item numbers 5, 3, 2, 4 and 6 represents the decreasing order of influence on Reliability with regression coefficients (b=.36, .35, .35,34and .29 respectively) with significance level of (p < .05). Item no 1, representing the least influence among all items of LMX on Reliability with regression coefficient i.e. (b=.28, p < .05). The overall influence of LMX on Reliability i.e. (R2=.37), reflecting a 37% variation in the dependent variable. Taking together, these results evidences that there exists a positive relationship between LMX and Reliability, thus supporting the hypothesis H2 i.e. LMX is positivelyrelated to customer’s perceived qualityabout Reliability.


 

Table 9:Regression Coefficients from Multiple Regressions between LMX and Reliability.

S.NO.

Independent Variable.

Dependent Variable.

LMX.

Reliability.

1.

 

Do you know where you stand with your supervisor…do you usually know how satisfied your leader is with what you do?

0.27*.

2.

How well does your supervisor understand your job problems and needs?

0.35 *.

3.

How well does your supervisor recognize your potential?

0.35*.

4.

Regardless of how much formal authority he/she has built into his/her position, what are the chances that your supervisor would use his/her power to help you solve problems at work

0.34*.

5.

Again, regardless of the amount of formal authority your supervisor has, what are the chances that he/she would “bail you out,” at his/her expense?

0.36*.

6.

I have enough confidence in my supervisor that I would defend and justify his/her decision if he/she were not present to do so?

0.29*.

7.

How would you characterize your working relationship with your supervisor?

0.38*.

 

R2

0.37

Note: LMX- Leader Member Exchange.

*All Significant at < .05;     Source: Data collected by Scholars for the study.

 


Influence of LMX on Customer’s Perceived Quality about Responsiveness.

Initially, inter-item correlation between LMX and Responsiveness, was conducted.  The results revealed are presented in Table 7. The Pearson’s correlation coefficient of (r = 0.39) reveals a positive) and significance level (p < .01 to .05),  between LMX and Responsiveness. Also, the influence of LMX on Responsiveness is analyzed and understood, using a specialized technique of data analysis i.e. multiple regression analysis, represented as: Y3= bx1 + bx2+ ……… + bx7.Where ‘Y3’ represents dependent variable i.e. Responsiveness and ‘x1 to x7’ represent 7 items or statements of independent variable i.e. LMX. The SPSS tool of data analysis was used to analyze data through multiple regression analysis technique, where in data pertaining to dependent variable i.e. Responsiveness were recorded as‘Y3’  and data pertaining to independent


variable i.e. LMX were recorded as ‘x1 to x7’. The results obtained are presented in Table 10. All items of LMX are positively influencing on Responsiveness with item no 4, being the most influential with (b=.39, p< .05). Item numbers 1, 3, 2, 5 and 7 represents the decreasing order of influence on Responsiveness with regression coefficients (b=.37, .35, .35,34 and .33 respectively) with significance level of (p < .05). Item no 6, representing the least influence among all items of LMX on Responsiveness with regression coefficient i.e. (b= .29, p < .05). The overall influence of LMX on Responsiveness i.e. (R2=.37), reflecting a 37% variation in the dependent variable. Taking together, these results evidences that there exists a positive relationship between LMX and Responsiveness, thus supporting the hypothesis H3 i.e. LMX is positively relatedcustomer’s perceived qualityabout Responsiveness.


 

 


Table 10: Regression Coefficients from Multiple Regressions between LMX and Responsiveness.

S.NO.

Independent Variable.

Dependent Variable.

Responsiveness.

LMX.

1.

 

Do you know where you stand with your supervisor…do you usually know how satisfied your leader is with what you do?

0.37*.

2.

How well does your supervisor understand your job problems and needs?

0.35 *.

3.

How well does your supervisor recognize your potential?

0.35*.

4.

Regardless of how much formal authority he/she has built into his/her position, what are the chances that your supervisor would use his/her power to help you solve problems at work

0.39*.

5.

Again, regardless of the amount of formal authority your supervisor has, what are the chances that he/she would “bail you out,” at his/her expense?

0.34*.

6.

I have enough confidence in my supervisor that I would defend and justify his/her decision if he/she were not present to do so?

0.29*.

7.

How would you characterize your working relationship with your supervisor?

0.33*.

 

R2

0.37

Note: LMX- Leader Member Exchange.

*All Significant at < .05;     Source: Data collected by Scholars for the study.

 


Influence of LMX on Customer’s Perceived Quality about Assurance.

Initially, inter-item correlation between LMX and Assurance, was conducted.  The results revealed are presented in Table 7. The Pearson’s correlation coefficient of (r = 0.37) reveals a positive) and significance level (p < .01 to .05),  between LMX and Assurance. Also, the influence of LMX on Assurance is analyzed and understood, using a specialized technique of data analysis i.e. multiple regression analysis, represented as: Y4= bx1 + bx2+ ……… + bx7.Where ‘Y4’ represents dependent variable i.e. Assurance and ‘x1 to x7’ represent 7 items or statements of independent variable i.e. LMX. The SPSS tool of data analysis was used to analyze data through multiple regression analysis technique, where in data pertaining to dependent variable i.e. Assurance were recorded as‘Y4’  and data pertaining to independent variable i.e. LMX were recorded as ‘x1 to x7’. The results obtained are presented in Table 11. All items of LMX are positively influencing on Assurance with item no 3, being the most influential with (b=.36, p< .05). Item numbers 6, 1, 2, 5 and 7 represents the decreasing order of influence on Assurance with regression coefficients (b=.35, .34, .34,33 and .31 respectively) with significance level of (p < .05). Item no 4, representing the least influence among all items of LMX on Assurance with regression coefficient i.e. (b= .28, p < .05). The overall influence of LMX on Assurance i.e. (R2=.35), reflecting a 35% variation in the dependent variable. Taking together, these results evidences that there exists a positive relationship between LMX and Assurance, thus supporting the hypothesis H4 i.e. LMX is positively related customer’s perceived qualityaboutAssurance.

 


 

Table 11:Regression Coefficients from Multiple Regressions between LMX and Assurance.

S.NO.

Independent Variable.

Dependent Variable.

LMX.

Assurance.

1.

 

Do you know where you stand with your supervisor…do you usually know how satisfied your leader is with what you do?

0.34*.

2.

How well does your supervisor understand your job problems and needs?

0.34 *.

3.

How well does your supervisor recognize your potential?

0.36*.

4.

Regardless of how much formal authority he/she has built into his/her position, what are the chances that your supervisor would use his/her power to help you solve problems at work

0.28*.

5.

Again, regardless of the amount of formal authority your supervisor has, what are the chances that he/she would “bail you out,” at his/her expense?

0.33*.

6.

I have enough confidence in my supervisor that I would defend and justify his/her decision if he/she were not present to do so?

0.35*.

7.

How would you characterize your working relationship with your supervisor?

0.31*.

 

R2

0.35

Note: LMX- Leader Member Exchange.

*All Significant at < .05;     Source: Data collected by Scholars for the study.


Influence of LMX on Customer’s Perceived Quality aboutEmpathy.

Initially, inter-item correlation between LMX and Empathy, was conducted.  The results revealed are presented in Table 7. The Pearson’s correlation coefficient of (r = 0.31) reveals a positive) and significance level (p < .01 to .05), between LMX and Empathy. Also, the influence of LMX on Empathy is analyzed and understood, using a specialized technique of data analysis i.e. multiple regression analysis, represented as: Y5= bx1 + bx2+ ……… + bx7.Where ‘Y5’ represents dependent variable i.e. Empathy and ‘x1 to x7’ represent 7 items or statements of independent variable i.e. LMX. The SPSS tool of data analysis was used to analyze data through multiple regression analysis technique, where in data pertaining to dependent variable i.e. Empathy were recorded as‘Y5’  and data pertaining to independent variable i.e. LMX were recorded as ‘x1 to x7’. The results obtained are presented in Table 12. All items of LMX are positively influencing on Empathy with item no 2, being the most influential with (b=.35, p< .05). Item numbers 1, 4, 3, 6 and 7 represents the decreasing order of influence on Empathy with regression coefficients (b=.34, .34, .33,33 and .32 respectively) with significance level of (p < .05). Item no 5, representing the least influence among all items of LMX on Empathy with regression coefficient i.e. (b= .29, p < .05). The overall influence of LMX on Empathy i.e. (R2=.34), reflecting a 34% variation in the dependent variable. Taking together, these results evidences that there exists a positive relationship between LMX and Empathy, thus supporting the hypothesis H5 i.e. LMX is positively related customer’s perceived qualityaboutEmpathy.

 


 

 

 

Table 12: Regression Coefficients from Multiple Regressions between LMX and Empathy.

S.NO.

Independent Variable.

Dependent Variable.

LMX.

Empathy.

1.

 

Do you know where you stand with your supervisor…do you usually know how satisfied your leader is with what you do?

0.34*.

2.

How well does your supervisor understand your job problems and needs?

0.35 *.

3.

How well does your supervisor recognize your potential?

0.33*.

4.

Regardless of how much formal authority he/she has built into his/her position, what are the chances that your supervisor would use his/her power to help you solve problems at work

0.34*.

5.

Again, regardless of the amount of formal authority your supervisor has, what are the chances that he/she would “bail you out,” at his/her expense?

0.29*.

6.

I have enough confidence in my supervisor that I would defend and justify his/her decision if he/she were not present to do so?

0.33*.

7.

How would you characterize your working relationship with your supervisor?

0.32*.

 

R2

0.34

Note: LMX- Leader Member Exchange.

*All Significant at < .05;     Source: Data collected by Scholars for the study.

 

 

 


FINDINGS AND IMPLICATIONS:

LMX leads to of sharing mutual obligations, respect, information, resources, trust, develop strong bonds of affection, commitment, professionalism, among supervisors and subordinates. Employees feel highly motivated, committed; responsible and empowered that enhances their self efficacy, confidence, competitiveness, engagement and performance. LMX has been found having significant (p < 0.05) positive relationship with tangibilitywhere in multiple regression coefficient (R= 0.36) indicate that LMX enhances tangibility of service organizations by instilling in employees a sense of discipline, attitude, professionalism to maintain professional attire, better appearance of equipments, etc.FurtherLMX has been found having significant (p < 0.05) positive relationship with reliability where in multiple regression coefficient (R= 0.37) indicate that LMX enhances reliability of service employees by enhancing confidence, efficacy, empowerment of employees to create delightful service encounters. Also, positive (R= 0.37) and significant(p< 0.05) relationship between LMX and responsiveness reveal the fact that LMX enhance not only technical skills of employees through information sharing, resources, equipment, assistance, but, also, improves behavioural or soft skills of employees. Employees involved in high quality LMX relationships develop caring, courteous attitude towards consumers. Similarly, positive (R = 0.35) and significant (p< 0.05) relationship between LMX and assurance represent that high quality relationship employees perform their job tasks with competence, credibility and courtesy. Finally, positive (R = 0.34) and significant (p< 0.05) relationship between LMX and empathy dimension of service quality reflect that LMX enhance  analytical skills of employees where in they are better able to communicate with consumers, understand their needs.

 


 

 

 


LMX can be enhanced by increasing the frequency of supervisory support communications like recognition, need analysis, problem solving etc to boast self-esteem and trigger favourable work attitudes among subordinates. Feedback can improve existing high quality relationships, While, minimizing low quality relationships at the same time. Leader member personality fit must be ensured while allocating or creating leader member teams. Empowerment of subordinates like sharing information, resources, responsibility etc, could improve LMX quality. Support from management, supervisors and co-workers, increases engagement of employees. Factors like reasonable working hours, flexible working schedule, sufficient rest time, moderate supervision, etc at work, enhances engagement of employees. Service organizations should ensure that they are equipped with highly dynamic, skilled, cordial and adequate human resource. Advanced technology should be set in place for employees to perform real time transactions for their time conscious customers. Employees must be taught technical as well as soft skills, as part of their regular trainings programme at least once a year. Flexibility in place as well as time of service delivery must be taken care of, to ensure convenience, access, availability, customer acceptance and satisfaction.

 

LIMITATIONS AND FUTURE RESEARCH:

The present study, represent participation of organizations on regional basis. Participation from national or international participation organizations can bring different insights in to the study. Organizations that participated were from insurance and banking sectors only. Organizations from other sectors like health, education, tourism, etc., can enhance the generalizability of results and implications. The present study explored LM X and service quality only. The relationship of these construct along with demographic factors like ethnicity, gender, age, would have allowed exploring different inferences and patterns. That would have been a different contribution towards LMX theory.

 

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Received on 28.01.2016          Modified on 06.02.2016

Accepted on 19.02.2016         © A&V Publication all right reserved

Int. J. Rev. and Res. Social Sci. 4(1): Jan. - Mar., 2016; Page 05-14

DOI: 10.5958/2454-2687.2016.00002.2