Job Crafting of Service Employees and Performance: An
Empirical Evidence of Linkages
Dr. Mushtaq A Siddiqi
Associate
Professor, The Business School, University of Kashmir, Srinagar, J and K-190006
(India)
*Corresponding Author E-mail: musha12004@yahoo.com;
drmushtaqs@gmail.com
ABSTRACT:
The concept of job crafting
continues to receive considerable attention from research scholars and business
professionals in developed countries particularly in the area of organisational psychology. However, very little or no such
research has focused on understanding the complex relationship between various
dimensions of job crafting and service employee performance in a developing
country like India. In order to plug the gap, the present study has been
conducted in Indian service sector with samples from its retail banking sector.
The study that matches perceptions from both the frontline employees and their
customers reveals that various dimensions of job crafting exert its impact on
service employee performance and customer loyalty. Using path analysis, the
empirical results also report indirect positive effects of service employee job
crafting on customer loyalty via their service performance. The service
employee performance is found effectively mediating in-between thus acting as a
conduit to link positive effects of job crafting to customer loyalty.
KEYWORDS: Job crafting, service employee
performance, customer loyalty, India.
The role of frontline service
employee’s performance for the service firm’s success has long been emphasized
by research scholars, practitioners and business professionals (e.g., Rucci, et al., 1998). The significance of the frontline
service employees’ performance stems from the fact that these employees have a
mandate to interact directly with the customers and they play what is called a
boundary spanning role in the services marketing literature (Bateson, 1989). This
is more so that there is no scope of trial and rejection in service encounter.
The quality of service experience depends entirely upon the quality of
interaction that takes place between a customer and the frontline employee.
Thus, to ensure frontline employees’ service performance as desired by the
customers and management is both significant and equally challenging.
Considering the unprecedented
growth of service sector and neck to neck competition amongst the service
providers, service managers have necessarily to pay greater attention to all
the antecedents those improve front line employees’ service performance. This
in turn is crucial for quality of service interaction and consequent customer
outcomes. However, the antecedents and consequences of desired service
performance of frontline employees at contact level have received not as much
attention as it deserves from research scholars (Jagdip,
2000).
Researchers can explore various
antecedents of desired frontline service employee performance with an aim to
help service managers improve their performance. Among the ways, the focus of
the present study is job crafting of service employee that is expected to
positively influence both their service performance and consequent desired
customer or organisational outcomes (customer loyalty in the present study).
STRUCTURE OF THE ARTICLE:
The next section that follows
will review the relevant literature around the concept of job crafting as
considered in the present study. This follows the discussions that clarify the
basis of relationships between several dimensions and consequent hypotheses of
the study. Next, an attempt is made to highlight the research gaps and
rationale of the study. This follows the methodology including data collection,
the sample, the research instruments, analysis and results. Based on the
results of the study, conclusions are drawn, managerial implications are
discussed and finally, directions for future research are also discussed.
LITERATURE OF JOB CRAFTING:
The concept of job crafting
owes its origin to the traditional theorists of job design who view job design
as a top down function carried out by managers for designing jobs of their
employees. These theorists (Campion and McClelland, 1993; Hackman
and Oldham, 1980) believed that mangers play a significant role in designing
the jobs of their employees. The literature on the subject was complimented by
subsequent studies (e.g., Miner, 1987; Black and Ashford, 1995; Grant and
Ashford, 2008), those shifted the emphasis from manager’s role to that of
employee’s role in the process of job design. The shift in the recognition of
the role from managers to that of employees gave birth to the concept of job
crafting. Accordingly, the concept of job crafting is viewed as a bottom top
approach, whereby instead of mangers initiating and directing changes from the
top down, it is the employee who brings about changes in the their jobs from
the bottom up. Specifically, the term job crafting was coined by Wrzesniewski and Dutton (2001) who defined it as ‘‘the
physical and cognitive changes individuals make in the task or relational
boundaries of their work’’ (p. 179).
Job crafting is a bottom top
approach, whereby, the employee alter the boundaries of their jobs i.e. increasing or decreasing the number
of tasks to perform, or altering the way they are performed (physical crafting). The employee may alter the way he decides to
interact with others at work place both quantitatively and qualitatively (relational crafting).Finally, the employee may also alter the
way he or she perceives different tasks and relationships between those tasks
that finally make their job as a whole (cognitive
crafting) (Wrzesniewski and Dutton, 2001; Leana et al.,
2009; Tims and Bakker, 2010; Tims
et al., 2012).
The alternative way to
understand the job crafting construct and its dimensions is to understand Tims et al’s (2012) perspective. The Tims
and his associates looked job crafting through the frame work what is popularly
known as JD-R model (Demerouti et al., 2001; Bakker and Demerouti,
2007). The JD-R model classifies characteristics of work environment into two
general categories, i.e., job demands and job resources. The first category
refers to physical, social or organizational job demands and the latter
category refer to physical, social or psychological supports. The former
require for sustained physical and psychological effort on the part of employee
and the later not only act as resources to facilitate employees’ performance
but also help them grow at individual level. The authors define job crafting as
the changes that employees may bring about in these job demands and job
supports. The alterations are mainly done to offset, imbalance, if any, found
in their job demands and job resources with reference to their peculiar set of
skills and requirements. The possible changes that an employee may generally
bring about into their jobs are classified into following four dimensions by Tims et al.
(2012).
1. Increasing structural job
resources: Employees may look for ways as to how to change and increase the
structural resources to ensure better outcomes both at individual and organisational level. These sources for instance can be
like employee aspiring for resources variety, opportunity for development,
autonomy, responsibility, gaining more job related knowledge that leads to
their self-development.
2. Decreasing hindering job
demands: On finding job demands as being overwhelming, employees may
attempt to lower down the tasks those are deemed to tell upon their physical
health, psyche and overall wellbeing. They may try job alterations to make
their job emotionally less demanding. They may for instance try to remain away
from people, who affect them emotionally, or will refrain from working for long
hours and from taking difficult decisions.
3. Increasing social job
resources: employees look to alter their social environment that has bearing
upon the social aspects of their job. These efforts may include e.g., asking
for advice and feedback from surroundings, maintaining desired quantity and
quality of interaction to gain social support at the work place.
4. Increasing challenging job
demands: Employees may alter their jobs to make it more challenging and
consequently avoid boredom. The content of challenge in one’s job is considered
one of the significant drivers for one’s motivation. The instances e.g., can be
taking keen interest in new developments, new assignments, and taking on extra
responsibilities even without expecting extra benefits within the formal reward
structure of the organisation.
Job crafting has emerged as a
significant antecedent of several desired outcomes in organisational
context. Specifically, the outcomes
include organisational commitment, job effectiveness and lower
absenteeism (Ghitulescu,2006)
employee satisfaction (Berg et
al.,2008), employee initiative, persistence and action (Crant,
1995), employee retention (Kristof et al.,2005),
person-environment fit and consequent reduction of employee stress (Sulsky and Smith, 2005), better organizational performance
(Worline, et al.,
2002), employee positive attitudes towards work meaning and work identity
(Fine, 1996; Wrzesniewski and Dutton, 2001).Further, task crafting, one of the crafting attitude of employees
is linked with better work place operations (Fletcher, 1998; Star and Strauss,
1999).This is in view of the fact that
employees generally alter tasks within their job with an aim to reduce
obstacles and faults which in turn results in improvement in their work flow
and the ultimate work performance.
Job Crafting, Service Employee Performance and customer loyalty
Job crafting of service
employees is expected to be improve their performance for several reasons,
those are duly supported by relevant literature as follows:
First, employees feel satisfied and motivated when their job crafting
proves beneficial as evidenced by consequent improved performance. Since,
employees alter their jobs only after they sense some latitude to do so in
their work environment and subsequently they are further encouraged to do so
for it results in better performance.
This encouragement acts as an indirect authorization to employees for
job crafting. The dimension of ‘feeling authorized’ or what is also referred as
“self-perceived decision making authority “in the relevant literature has been
indicated as one of the significant driver of customer orientation of service
employees (COSE) by several authors in past (Henning-Thurau,
et al., 2003; Henning-Thurau, 2004; Siddiqi, 2009).In
turn customer orientation of service employees (COSE) is revealed as crucial
factor for desired service performance (Sergeant and Frenkel,
2000; Brown et al., 2002).Evidenced
in past research, the sense of feeling authorized can happen more with the
frontline service employees as they being at lower ranks are less constrained than
those working at higher ranks in the organisation to
adapt their work environment and better craft their jobs (Berg et al., 2009).Thus, owing to latitude
for and actual job crafting, there is much scope for frontline service employee
to feel authorized. This in turn facilitates customer orientation of service
employee and consequent desired service performance.
Second, job crafting makes jobs more purposeful and by implication
improve employee motivation and job satisfaction. Numerous empirical studies
(e.g., Mackenzie et al., 1998) have
indicated that satisfied employees have enough motivational resources to
perform their job with adequate service effort and care in service encounter.
Service effort has been indicated as significant antecedent to customers’
service quality perception (Yoon and Suh, 2003).
Additionally, satisfied employees provide customers with adequate explanations
for undesirable outcomes (interpersonal sensitivity and social account) that
again improve the customer service experience. Further, job crafters generally
exhibit higher commitment to see their suggestions being implemented
practically. This again results into higher level of commitment and
satisfaction which have long been associated with higher level of customer
satisfaction in service context (Ivar Rossberg, et al.,
2008).
Third, drawing on social exchange theory (SET), on realizing that
management benefits employees by offering scope for making alterations in their
jobs to suit employee tastes, preferences and qualifications, employees in
turn, look for ways to reciprocate to benefit the organisations
(Shore and Shore, 1995). This positive feeling among job crafters is expected
to get reflected in their service performance as delivering better services to
their customers seems to be the best way of reciprocating and benefiting their organisation. Therefore, employees who engage in job
crafting are most likely to serve their customers better.
Third, after job crafting employee feel their jobs as more worthwhile,
purposeful or something they should be proud of. Considering, the identity
theory, it enhances their sense of self respect, self-identification and
belongingness to their jobs(lscoocco,1989).Therefore, employees those who craft
their jobs do identify themselves more strongly with their jobs and experience
higher sense of belongingness with their organisations.
All these positive feelings are reported as significant drivers of excellent
service delivery and consequent desired customer and organisational
outcomes in the past (Daan Van, 2000).
Thus the above discussion has
clarified the basis for the following hypothesis:
H1 greater the level of job crafting of service employee, greater
will be the service performance.
Customer
loyalty refers to customer’s intentions to stay with the existing firm for a
long period. Organisations endeavour
for building long term relationship with their customers for several desired
consequences. One of the most significant consequences revealed by countless
authors is that firms are able to retain
most profitable customers, thus leads to firm’s long term economic survival and
success (e.g., Berry, 1995; Heskett et al., 1994). This is perhaps due to
the fact that firms are better able
to understand their customer’s requirements and develop efficiency by dealing
repeatedly with the same customers over a long period of time, thus rendering
loyal customers as more profitable (Dawkins and Reichheld,
1990).Further; it costs more to
acquire new customers than to maintain relationship with the existing
customers. Research suggests that an improvement of 5% in customer retention is
reported to result into an improvement of 100 percent in firms profits (Reichheld and Sasser, 1990).
The
customer loyalty with the existing firm is a function of his or her level of
satisfaction with the service experience (Kelley and Davis, 1994). To put other
way, how far, a customer believes that his or her expectations are dully
fulfilled by the service provider, makes sense in customer evaluation of the
service experience and if the customer feels good about it, s/he prefers the
same service provider over others and expects the same level of experience in
future as well (Crosby et al.,
1990).Therefore, this study reasonably assumes service performance as a
significant factor in predicting customer loyalty and proposes the following
hypothesis:
H2 greater the service employee performance, greater will be the
customer loyalty.
The internal marketing
philosophy suggests that satisfaction of firm’s employees (internal customers)
is well reflected into satisfaction of firm’s customers (external customers).
In fact, job attitudinal issues like employee satisfaction, motivation,
commitment and the like constitute the area of interest for earlier scholars
from internal marketing field for that they strongly predict desired customer
outcomes (see e.g. George, 1990).The discussion supported by literature
justifying H1 earlier in this article
supports the view that all these positive job attitudes can be as a
consequences of job crafting of service employees. Therefore, it is expected
that these positive job attitudes of service employee including job
satisfaction, commitment, motivation triggered by job crafting will duly get
reflected into firm’s external customers in terms of their commitment to firm.
Accordingly, the third hypothesis is proposed as:
H3 greater the job crafting of service employee, greater will be the
customer loyalty.
The above literature has
justified the assumption of H1 to H3, whereby, job crafting is assumed as
one of the driver of service employee performance(H1),which in turn is assumed as an antecedent to customer loyalty(H2). Further,
job crafting is also assumed as a direct predictor of customer loyalty (H3).In such situations, where ever, an antecedents can be
related to some variable which in turn can effect some other outcome variable,
there is possibilities of testing mediation effects of the mediating
variable(see fig 1 for reference). Thus, last hypothesis of the study is
proposed as:
H4 employees’ service performance mediates the relationship between
employee job crafting and customer loyalty.
Figure:1. Impact of Job crafting on
customer loyalty via service employee performance
RESEARCH GAPS AND RATIONALE:
The concept of job crafting itself is of
recent origin as the term was recently coined by Wrzesniewski and Dutton (2001) as a bottom-top view to
complement the concept of job design. Thus, as yet, the concept of job
crafting has received little attention from the researchers in organisational studies (Wrzesniewski and Dutton (2001). Further, the
studies around this concept are generally found theoretical or qualitative in
nature (Tims et
al., 2012). No doubt, a few empirical studies (e.g., Ghitulescu,
2006; Leana et
al., 2009) have been conducted in past, yet, they are restricted to
education and manufacturing setting only (Tims et al., 2012). Very recently, lack of
empirical studies and advances in understanding of the concept of job crafting
is indirectly attributed to lack of measuring scales for job crafting (Tims and Bakker, 2010; Tims et al., 2012). This is particularly in
Asian region where till now no study has been published that links job crafting with performance in
service context to the best of the authors knowledge and belief. In fact, there have been so many research calls that
would examine job crafting behaviours and its
possible consequences at employee and organisational
level (e.g., Tims et al., 2012).In view of the growing significance of the concept,
the diffusion of the understanding of the concept among the service mangers
appears to be the need of the hour to help them create a professional service
culture particularly in Indian context.
This study attempts to add incrementally
to the existing literature in several ways.
First, an indirect impact of
employee job crafting on customer loyalty, mediated by service employee
performance in this study is assessed for the first time in service marketing
literature.
Second, researchers in past have
worked in a significant way around the concept of job design (a top down
approach of managers designing employee jobs), yet to examine the changes that
are informally brought about in a job by an employee what is referred as job
crafting (a bottom up approach of designing jobs) would complement the previous
literature that exists around job design.
Third, on being inspired by the work
of Tims et al.
(2012), the present study is the first attempt that has adopted job
crafting as a four dimensional construct and assessed it’s both direct as well
as indirect impact on customer loyalty separately.
Finally, this study is expected to
better equip service managers to deal with frontline employee performance and
customer turnover related issues. Although job crafting might have been
examined in the west, nevertheless, on account of the dynamics of culture,
environment, testing of the relationship in Indian service sector would be a
meaningful attempt to see if the causal relationship hold equally true in this
part of the world as well or not.
METHODOLOGY:
Investigations were carried out to assess
the causal effects between service employee job crafting, customer perceived
employee performance and customer loyalty. The detailed methodology followed is
as:
Data collection and the sample:
The primary data was collected from
several branches of four (4) prestigious banks in India (SBI, PNB, J and K bank
Ltd and Standard Chartered Bank.), operating in the states of Delhi, Punjab and
Jammu and Kashmir. The proportionate stratified sampling procedure was followed
to consider all the possible categories like rural, semi-rural, urban, and
metropolitan in the sample. The employees were given questionnaire to capture
the notion about various dimensions of job crafting. However, their service
performance and customer loyalty was reported by customers again by reacting to
questionnaires. Each frontline employee was requested to respond to one
employee questionnaire and distribute four (04) customer questionnaires among
customers. A common identification number was allotted to frontline employee
and customer questionnaire to facilitate the matching process of the employee
and customer responses. This kind of matching process is suggested by numerous
authors (see e.g., Schneider and Bowen, 1985). The customer responses were then
aggregated (averaged) through simple arithmetic mean and then matched with the
mean scores of employee perceptions about various dimensions of job crafting.
Out of 360, as many as 212 completed and usable questionnaires completed by
employees were received resulting into a response rate of 59 percent. Out of
350, as many as 207 duly responded survey instruments by employees were
received resulting into a response rate of 59 percent, while as 597 of 1100 (54
per cent) customer questionnaires were usable for final analysis. The average
response of number of customer per employee was 3.
The Research
Instruments and Scale Purification
Lickert’s 5- point scale, ranging from
strongly disagree (1) to strongly agree (5) was used throughout the study to
reflect the respondents’ agreement or disagreement level to each item. Items of
various scales were deleted during the preliminary scale purification process
that includes item-scale correlations and exploratory factor analysis. Further
Items whose factor loading was less than 0.40 or cross loaded were deleted.
After deletions, all scale items were statistically significant and all scales
showed unidimensionality in terms of model fit
indices and face validity.
For capturing the notion of service
employee job crafting, the twenty one (21)-item scale originally developed by Tims et al.
(2012) was administered on frontline employees. All the twenty one items
provided for a unidimensional scale (x2 =
18.05, df = 5, p
= 0.02, RMR = 0.02, GFI = 0.91, AGFI = 0.94, CFI = 0.91). The factor loadings
of the items of job crafting comprising of four dimensions were statistically
significant and their standardized estimates ranged from 0.47 to 0.61 for
“increasing structural job resources”, 0.56 to 0.74 for “decreasing hindering
job demands”, 0.54 to 0.67 for “increasing social job resources” and 0.49 to
0.63 for “increasing challenging job demands”
The six-item scale of Salanova
et al., 2005, measuring service
employee performance from customers’ perspective was used. However only five
could be used after deleting in the purification process as discussed above.
The factor loading were within the range of 0.49 to 0.61.For measuring
customers loyalty, Dick and Basal’s (1994) loyalty
scale was used that was found to
represent unidimensional construct(x2 =
14.48, df = 5, p
= 0.01, RMR = 0.01, GFI = 0.96, AGFI = 0.89, CFI = 0.92). Its factor loading
ranged from 0.53 to 0.78.
ANALYSIS AND RESULTS:
Prior
to examining the causal paths between several variables as considered in this
study with the help of LISREL, 8.7, the author estimated a measurement model.
Table 1 shows the measurement model that provides a reasonable fit to the data. Whereas the x2 value is
statistically significant(x2 =
836.1, df = 347, p
< .05, RMR = 0:045, GFI = 0:78, AGFI =0:79, CFI = 0:91), the goodness-of- fit index (GFI) and the adjusted goodness-of-fit index (AGFI) were 0.78 and 0.79 respectively. The
CFI showed a high value of 0.91.
Table
1-Descriptive Statistics, Inter-Item Correlations and Alpha Values of the
Variables
|
Variables |
Mean |
SD |
1 |
2 |
3 |
4 |
5 |
6 |
|
1. (ISJR-1) 2. (DHJD) 3. (ISJR-2) 4.(ICJD) 5. (SEP) 6 .(CL) |
3.36 3.68 2.84 3.01 2.69 2.96 |
0.673 0.882 0.756 0.734 0.579 0.772 |
0.24* 0.37* 0.33* 0.25* 0.36* |
0.27* 0.31* 0.20* 0.37* |
0.29* 0.28* 0.34* |
0.35* 0.29* |
0.39* |
|
|
Cronbatch alpha |
|
|
0.79 |
0.76 |
0.67 |
0.59 |
0.74 |
0.69 |
|
Notes: x2 = 836.1, df
= 347, p < .05, RMR = 0:045, GFI = 0:78, AGFI =0:79, CFI = 0:91 (ISJR-1) :Increasing Structural Job
Resources ; (DHJD):Decreasing Hindering Job Demands; (ISJR-2) :Increasing
Social Job Resources ; (ICJD):Increasing Challenging Job Demands; (SEP): Service Employee Performance ; and (CL): Customer Loyalty. |
||||||||
The Cronbatch alpha, although, being slightly low in some cases
was not considered an analytical issue for the measurement model provides a
reasonable fit to the data. Additionally, the alpha- estimates are nearer the
cutoff point (0.70) and the factor loadings (ranging from 0.47 to 0.78) of the
constituent items are also satisfactory.
Table 2: Standard coefficients from
LISREL results for causal relations between job crafting-dimensions and service
employee performance.
|
Independent Variables |
Job Crafting- Dimensions |
Dependent Variable (SEP) |
|
(ISJR-1) |
0.383*
|
|
|
(DHJD) |
0.261* |
|
|
(ISJR-2) |
0.446* |
|
|
(ICJD) |
0.396* |
|
|
R2 |
0.374 |
Note * <.001;
(ISJR-1): Increasing Structural Job Resources; (DHJD): Decreasing Hindering Job
Demands;
(ISJR-2):
Increasing Social Job Resources; (ICJD): Increasing Challenging Job Demands;
and (SEP): Service Employee Performance.
The estimated R2 in Table 2 suggest that a variation 37 percent in
service employee performance is explained by various elements of job crafting. Specifically, increasing social
job resources by the service employee is the most influential (b = 0.446, p <.001)
component of employee job crafting on his or her service performance. The
influence is followed by increasing challenging job demands (b = 0.396, p <.001), increasing structural job resources (b = 0. 383, p <.001) and finally by decreasing hindering job demands (b = 0. 0.261, p <.001).
Taken together, the path coefficients clearly reveal that all the dimensions of
employee job crafting exert a positive as well as significant effect on service
employee performance .Therefore, ample evidence is found in support of the H1 that greater the level of job
crafting of service employee, greater will be the service performance.
Importantly, the ascertained path coefficient (b = 0.547, p <.001) between
service employee performance and customer
loyalty fully support the H2 that greater the service employee
performance, greater will be the customer loyalty.
The Direct and Indirect Effects of Job
Crafting on Customer Loyalty
The causal effects of various variables of
job crafting on customer loyalty both directly and indirectly via service
employee performance were ascertained as follows:
Table 3- Decomposed Direct, Indirect and
Total Effects of Dimensions of Job Crafting On Customer Loyalty
|
Dimensions of
Job Crafting |
Customer Loyalty (Dependent
Variable) |
||
|
(Independent Variable) |
Direct effect |
Indirect effect |
Total effect |
|
1-(ISJR-1) |
0.254* |
0.063* |
0.317* |
|
2-(DHJD) |
0.183** |
0.192* |
0.375** |
|
3-(ISJR-2) |
0.406* |
0.048* |
0.454* |
|
4-(ICJD) |
0.203** |
0.230** |
0.433** |
Note: *
significant at p <.01; **
significant at p <.05(ISJR-1)
:Increasing Structural Job Resources ; (DHJD):Decreasing Hindering Job Demands;
(ISJR-2) :Increasing Social Job Resources ; (ICJD):Increasing Challenging Job Demands;and (CL): Customer Loyalty.
Direct effects: The
statistics in Table 3 reveal that increasing social job resources is one of the
most powerful elements of job crafting that exerts its direct effect on
customer loyalty (b = 0.406, p
<.01), followed by increasing structural job resources (b = 0.254, p <.01). Though both decreasing
hindering job demands and increasing challenging job demands also appear to be
influential elements, yet, exerting only partial direct effect on customer
loyalty (b = 0.183 and 0.203 respectively both found significant at p <.05)
Indirect effects: Apart
from above direct relationships, the
statistics in Table 3 also indicate several significant and positive indirect
relationships. Specifically, increasing challenging job demands appears to be
the most significant indirect factor on customer loyalty (b = 0.230, p <.05), followed by decreasing
hindering job demands (b = 0.192, p
<.01). Increasing social job resources exerts its least indirect effect on
customer loyalty (b = 0.048, p
<.01). Thus, considering the overall direct as well as indirect effects of
job crafting variables on customer loyalty, there is ample evidence in support
of H3 that greater the job crafting
of service employee, greater will be the customer loyalty.
Mediating effects: Analyzing the magnitude of
direct and indirect causal effects of various job crafting variables on
customer loyalty, it is observed that both the decreasing hindering job demands
and increasing challenging job demands exerts significant and substantial
indirect effects (around half of the total effect) on customer loyalty. This
suggests a significant partial mediation of intermediating variables. However,
both increasing social job resources and increasing structural job
resources exert only marginal indirect
effect indicating not so much of intermediating role of intermediating variable
i.e., of employee performance. Considering the substantial and significant indirect
effects of second and third variable on customer loyalty, it is safe to accept H4 that employees’ service performance
mediates the relationship between employee job crafting and customer loyalty.
Figure 2: Direct
and indirect effect of job crafting on customer loyalty via service employee
performance
Significant range from p<.001 to p<0.05
Direct effect Indirect
effect ------
DISCUSSION, CONCLUSION AND IMPLICATIONS:
The present study examined the ancestor
role of service employee job crafting in predicting their service performance
and customer loyalty. All the hypotheses about several positive effects of
service employee job crafting on their service performance and customer loyalty
were proved true. Apart from direct effects of job crafting on customer
loyalty, the study revealed some indirect effects of job crafting on customer
loyalty vial employee service performance. Therefore, the study also
highlighted mediating role being played by service employee performance between
service employee job crafting and customer loyalty. These direct as well as
indirect linkages highlight the relevance of various job crafting variables to
desired performance outcomes in services setting.
The estimated R2 suggest that the four dimensional job crafting over
all explain a variation of 37 percent in employee service performance. All the
drivers of job crafting are significant for both employee performance and
customer loyalty.However, an important observation is
the least substantial however significant indirect effects of increasing social
job resources (20%of the total effect) and increasing structural job resources
(11%of the total effect) in the causal relationship. This is perhaps due to the
fact that the direct effect of the very variables on customer loyalty are more
prominent, thus leaving little room for the indirect effects. The essence of
the results is that service firms need to promote more of these job crafting
attitudes as they are more prominent in predicting customer loyalty in the
direct path. Additionally, the present study has indicated job crafting
attitudes as beneficial in service setting as has been proved so in non-service
context in past.
MANAGERIAL IMPLICATIONS:
In view of the examination of the causal
relationships between employee job-crafting attitudes, their service
performance and the consequent customer loyalty in the present study, service
managers need to be sensitive to the emerging relevance of this concept to
their field. More specifically, service managers need to continuously provide
an ample opportunity to their employees to craft their jobs .This is in view of
the fact that literature on job crafting suggests that employees are not only
keen but they seize opportunities to craft their jobs (Berg, et al., 2010). Thus, encouraging and monitoring various job-crafting
attitudes among service employees to facilitate their service oriented
environment should form as an important part of service mangers’ job.
Reward system of
an organisation has long been established as a strong
factor that shapes employees behaviour. Service managers, through rewards and
incentives can encourage or dis-courage individuals
to bring about desired changes in the relational and task boundaries of their job.
Managers may design the job itself in a way that provide an ample scope and
encourage employees' craving to voice their job crafting intentions. Similarly, the forms of job crafting, at the least
those highlighted in the study need to be given due importance in employee
performance appraisals. Linking employee job crafting efforts and its
effectiveness with rewards, performance appraisals, incentives, and promotions
is one of the worthwhile implications of the present study. Further, organisations
can identify relevant standards specific to their industry for measurement and
control of crafting attitudes at individual, group, division or business unit
level. The same can also become basis for deciding about managerial and
employee awards.
Service managers need to develop an
appreciation of the fact that although job crafting is easy yet crafting that
yield desired organizational results is not that easy as suggested by scholars
in past (Berg, et al.,2009).
Employees should be supported and properly
trained to craft their task as well as relational boundaries in a way that
ultimately contribute to beneficial rather than to detrimental crafting. The
identification and arrangement of various job resources that has relevance to
and facilitate job crafting can enhance beneficial job crafting attitudes and
consequent desired performance outcomes. Finally,
considering the fact that job crafting is essentially a bottom top approach of
job design, upward communication needs to be encouraged at all levels to facilitate
frontline employees’ involvement in job crafting.
Trust plays a significant role in employee
active involvement in job crafting for they feel more comfortable and
responsible in taking possible risks associated with job crafting.
Berg et al. (2009). The service managers need to avoid criticizing
service employee even if they commit mistakes in crafting their jobs.
LIMITATIONS AND DIRECTIONS FOR FUTURE RESEARCH:
First, while adopting Tims et al.’s
(2012) four dimensional job crafting-construct, this study considers increasing
structural job resources, decreasing hindering job demands, increasing social
job resources, and increasing challenging job demands as the antecedents of
employee job crafting in the causal relationships. However, dimensions those
which are discussed in review of literature section of this study and not
adopted in the present model can also be considered in future research. For
instance, the three dimensions of job crafting like task crafting, relational
crafting and cognitive crafting (Wrzesniewski and Dutton, 2001) can be one more
perspective of looking at the concept of job crafting and accordingly studies
can be conducted to assess its impact upon various performance variables.
Second, although the present study
was conducted with one of the aim to focus on the consequences of job crafting
in Indian service context. Research that would focus on the antecedent side of
job crafting with due considerations of varying cultural variables, would be a
significant contribution in this area.
Third, all the crafting attitudes,
may not be equally beneficial across sectors. Therefore, measurement of their
respective utility in varying work environments and consequent prioritization
thereof seems to be a worthwhile attempt. The significance of prioritization
stems from the fact that given the financial, time and energy constraints;
service managers may not always find it easy to make all kinds of work
arrangement to encourage all types of crafting attitudes among their employees.
Consequently, organizations can invest only in those work arrangements which
are considered to be more influential for driving most beneficial employee
crafting attitudes, peculiar to a specific work environment.
Fourth, considering the samples from
Indian banking sector within a limited geographic area, the author is concerned
about generalization of the conclusions. The replication works in the similar
and other contexts are required to confirm the results. This is particularly
with reference to the magnitudes of direct and indirect effects those have been
ascertained in the present study.
Fifth, while examining the
consequences of various dimensions of job crafting on frontline service
employee, service performance was the single measure considered in this study.
Therefore, investigating consequences of job crafting on service employee job
attitudes like their commitment, satisfaction, esprit de corps, involvement, service effort level, employee
retention, organizational citizenship behaviour, innovative work behaviour, job
engagement, etc., can complement the existing literature on job crafting. Similarly, customer loyalty was the only
final outcome variable considered in the analysis. Various constructs those
also reflect the organisational performance of a service
organisation like customer service quality
perception, their satisfaction, ROI, corporate image, market share, cost of
producing services, adaptability,
customer complaints, service failure recovery, customer retention and their behavioural intensions seems to be need of the hour
especially in Asian context.
Finally, both the distribution and
collection of customer questionnaires was done through the frontline employees
themselves. The approach must have given some room for bias in the customer responses
that need to be taken care by administering questionnaires directly on
customers by the investigators in future studies.
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Received on 25.03.2015 Modified on 04.04.2015
Accepted on 20.05.2015 © A&V Publication all right reserved
Asian J. Management; 6(3):
July-Sept., 2015 page 149-158
DOI: 10.5958/2321-5763.2015.00022.0