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Learning organizational environment and extra-role behaviors: The mediating role of employee engagement

Emerald Publishing
Journal of Management Development
Authors:
  • Forman Christian College (A Chartered University) Lahore

Abstract and Figures

Purpose Only 13 percent of the world’s employees are engaged in their work, which has become a challenge for the managers of today. Therefore, the purpose of this paper is to investigate the mediating role of employee engagement between perceived learning environment and extra-role behaviors. Design/methodology/approach This quantitative study collected data from 563 employees using a questionnaire-based survey on a convenience basis. Findings The data were analyzed using structural equation modeling. The results of the study show that employees’ perception of learning environment urges them to perform beyond their formal job descriptions (i.e. extra-role behaviors) regarding proactivity, knowledge sharing and creativity. In addition, employee engagement performs the mediating role between learning environment and extra-role behaviors. Research limitations/implications The data for this study were collected at a single point of time (cross-sectional), which limits the inferences about the causality. Originality/value This study is perhaps the first attempt to empirically investigate the mediating role of employee engagement between the relationship of the learning environment and extra-role behaviors such as knowledge sharing, proactivity and creativity.
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Learning organizational
environment and
extra-role behaviors
The mediating role of employee engagement
Talat Islam
Institute of Business Administration, University of the Punjab,
Lahore, Pakistan, and
Jawad Tariq
Department of Sociology, Forman Christian College, Lahore, Pakistan
Abstract
Purpose Only 13 percent of the worlds employees are engaged in their work, which has become a
challenge for the managers of today. Therefore, the purpose of this paper is to investigate the mediating role
of employee engagement between perceived learning environment and extra-role behaviors.
Design/methodology/approach This quantitative study collected data from 563 employees using a
questionnaire-based survey on a convenience basis.
Findings The data were analyzed using structural equation modeling. The results of the study show that
employeesperception of learning environment urges them to perform beyond their formal job descriptions
(i.e. extra-role behaviors) regarding proactivity, knowledge sharing and creativity. In addition, employee
engagement performs the mediating role between learning environment and extra-role behaviors.
Research limitations/implications The data for this study were collected at a single point of time
(cross-sectional), which limits the inferences about the causality.
Originality/value This study is perhaps the first attempt to empirically investigate the mediating role of
employee engagement between the relationship of the learning environment and extra-role behaviors such as
knowledge sharing, proactivity and creativity.
Keywords Knowledge sharing, Creativity, Proactivity, Learning environment, Employee engagement,
Learning organizations
Paper type Research paper
Introduction
Todays modern economic atmosphere, which is characterized by technology, creativity,
continuous change and competition, has weathered the conventional perspective of the
employee performance (Eldor and Harpaz, 2016; Islam et al., 2016). This shift from classical
mode has brought new challenges such as changing the employee-organizational
relationship (Bakker et al., 2011) and encouraging the researchers operating in the field of
organizational efficiency to move the spotlight from employee proficiency to employee level
of engagement (Griffin et al., 2007). According to the statistics given by Mann and Harter
(2016), only 13 percent of the worlds employees perform their work enthusiastically
(i.e. employee engagement). Measuring employeeslevel of engagement is not enough for the
organizations as there is a need to identify factors that may help managers to overcome this
issue (Mann and Harter, 2016). Therefore, the concept of employee engagement
is introduced to the employee-organizational relationship (Vigoda-Gadot et al., 2013),
which is significantly associated with employeesemerging need of conducive opportunities
for learning in the organization (Marsick, 2009; Baruch, 2006).
The recent research on employee engagement mostly includes relational studies where
employee engagement is considered as a determinant of organizational processes
(e.g. see Kyndt et al., 2009), but few studies have attempted to find the precursors to employee
Journal of Management
Development
Vol. 37 No. 3, 2018
pp. 258-270
© Emerald Publishing Limited
0262-1711
DOI 10.1108/JMD-01-2017-0039
Received 3 February 2017
Revised 30 June 2017
14 November 2017
Accepted 19 January 2018
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0262-1711.htm
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engagement (Macey and Schneider, 2008). The literature on employee effectiveness suggests that
it is positively related to workplace learning environment (Rodriguez, 2008; Echols, 2007) where
the latter provides a stimulating climate for learning and development (Bernsen et al., 2009).
A rationale for this relationship can be attributed to the competitiveness prevailing in the
organizations. Employees who experience the environment to be gratifying regarding learning
and growth feel themselves in an advantageous position to reciprocate to the organization
(Rodriguez, 2008). Furthermore, the stimulating learning environment can help employees to
realize their complete potential, resulting in self-fulfillment (a prerequisite to engagement).
Borrowing from Rodriguez (2008), the first objectiveofthepresentstudyistoseetherelationship
between employeesperceived learning environment (PLE) and employee engagement as
self-fulfillment is a prerequisite to engagement (Schaufeli et al., 2002). The preceding arguments
regarding employee retention with PLE and employee engagement, respectively, suggest that a
relationship may exist between PLE and employee engagement.
The second goal of the study is to fill in the literature gap regarding the relationship
between employee engagement and its likely effects like creativity, knowledge sharing and
proactivity (Bakker and Xanthopoulou, 2013). These three effects have been referred to as
extra-role behaviors in the literature (Rothbard and Patil, 2010). Though many studies have
focused on the relationship of employee engagement with organizational efficiency
(Griffin et al., 2007) and employeesefficiency (Marsick, 2009), there is a lack of literature on
the relationship of extra-role behaviors and employee engagement (Eldor and Harpaz, 2016).
Few studies suggest that discovering the relationship between employee engagement and
extra-role behaviors is fundamental to raise an organizationscomparative benefit in the
market by increasing employee retention (Herman, 2005; Schaufeli et al., 2002).
The final goal of the study is to see how the mediating role of employee engagement
affects the relationship between PLE and extra-role behaviors (creativity, knowledge
sharing and proactivity). There is a deficiency of empirical literature determining to see the
relationship between PLE and extra-role behaviors. A few recent studies suggest a
hypothetical model that PLE can affect employeespsyche to define their jobs extensively to
cope with the challenges an organization face in the market (Eldor and Harpaz, 2016). These
arguments suggest that PLE can affect employeesproactivity, creativity and knowledge
sharing. Nevertheless, this direct relationship is affected by the mediating role of employee
engagement as the previous debate proposed an empirical and theoretical relationship
between these constructs. Furthermore, it can be argued that PLE can affect an employee
engagement in the organization which, in turn, propels them perform extra-role behaviors.
Conceptual framework and hypotheses
In this section, the relationship between PLE, employee engagement and extra-role
behaviors is reviewed for presenting conceptual framework and hypotheses formulation.
The proposed model to test the three hypotheses is presented in Figure 1.
Employee
Engagement
Learning
Environment
Creativity
Proactivity
Knowledge
Sharing
Extra-role Behavior
Figure 1.
Hypothesized model
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PLE and employee engagement
PLE has been conceptualized by characteristics such as knowledge transmission,
participation, shared vision, creativity and opportunities conducive to learning and
inquisition (Marsick and Watkins, 2003). Learning environment has been considered
beneficial in helping an organization to devise its competitive outlook, motivating the
employeesto strive for completion of goals and helping the organization in its behavioral
adaptation to cope with up-and-coming challenges (Islam et al., 2015; Kennedy et al., 2013;
Watkins and Marsick, 1997). Few of the challenges faced by todays organizations in
competitive market is finding ways of employee retention (Islam et al., 2013, Egan et al.,
2004) and performance ( Joo and Lim, 2009). Learning environment, in this regard, may help
employees to enhance their skills and capabilities to perform better and remain with their
organizations (Islam et al., 2016; Egan et al., 2004). However, its practical implications on job
performance and job attitudes are lacking ( Joo and Lim, 2009; Yang et al., 2004), but still
provide evidence about learning environment and employee engagement relationship.
Therefore, the present study operates in a constructionist perspective to see how employees
are attaching meanings to the environment in which they are operating and how this is
affecting their engagement in the workplace.
Employee engagement is conceptualized as a multidimensional concept involving
physical (behavior), cognitive (traits) and emotional (state) components (Kahn, 1990).
However, this study relied on Schaufeli et al.s (2002, p. 74) conceptualization of employee
engagement as a positive, fulfilling work-related state of mind characterized by vigor,
dedication, and absorption.Vigor involves a readiness to put an extra effort in assigned
tasks, whereas dedication refers to an emotional and cognitive domain involving good
awareness of assigned tasks considering it motivational, significant, challenging and
inspirational. Absorption involves deep concentration to a point where an employee finds it
difficult to disengage from the task (Schaufeli et al., 2002). Employee engagement in this
regard not only increases the opportunities for learning and development, but also increases
employee retention that is favorable to the organization. Hence, there seems a probable
relationship between PLE and employee engagement as employee engagement seems like
an outcome of learning environment prevailing in the organization ( Joo and Lim, 2009).
PLE is considered as an important indicator of job resources, which has been considered
beneficial for motivating employeesdevelopment and organizational efficiency (Demerouti
and Cropanzano, 2010).
A plethora of literature suggests a strong relationship between employee engagement
and job resources such as task variety, significance of task, supervisor support and
autonomy (Fairlie, 2011; Joo and Shim, 2010; Halbesleben, 2010; Bakker and Demerouti,
2007). PLE in this sense can result in employee engagement by providing external
motivation like the fulfillment of organizational goals and internal motivation such as
self-development and self-growth (Halbesleben, 2010). The favorable learning environment
by providing a system of feedback, discussion and attachment to the workplace can ensure
alignment of organizational goals with employeesjob (Burke et al., 2006). Furthermore, such
an environment may help an employee to consider their task significant, which can prove to
be a stimulus for attaining organizational goals through extra effort. Cropanzano and
Mitchell (2005) argue that providing a conducive climate to an employee can build their
confidence in the organization which, in turn, may result in work engagement and
commitment to the organizational goals (Bakker and Demerouti, 2007). Despite the strong
theoretical support for the probable relationship between PLE and employee engagement,
there is a lack of empirical research to substantiate this relationship ( for an exception see
Eldor and Harpaz, 2016). In the light of above discussion, this study hypothesizes that:
H1. There will be a positive relationship between PLE and employee engagement.
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Employee engagement and extra-role behaviors
The shift from traditional to the modern economic model has made the market more
competitive and innovative though rapidly changing, requiring organizations to adapt for
survival (Griffin et al., 2007). Contemporary organizations in their quest for survival are
trying to engage competent employees ready to perform extra-role behaviors like creativity,
proactivity and knowledge sharing that can facilitate employeesadaptation to the
contemporary organizational criterion (Griffin et al., 2007). This study proposes that
employee engagement at the workplace can increase these extra-role behaviors. Creativity
refers to the generation of innovative and productive ideas relevant to goods and
commodities, services and organizational practices as well as procedures (Zhou and Shalley,
2008). Proactivity involves performance that is both future-directed and self-initiated, and
seeks to alter the circumstances or oneself (Grant and Ashford, 2008). Knowledge sharing
involves an exchange of explicit and implicit information in an attempt to develop an
organizational knowledgebase (Van den Hooff and De Ridder, 2004), thereby providing it
with a competitive edge.
Studies suggest that employeesscoring high in engagement also score high in arousal
(Langelaan et al., 2006). Engagement not only develops behaviors, but also catalyzes
creativity and proactivity (Shirom, 2010). Engagement can also trigger affective responses
like joyfulness and concentration, which have been related to creativity, exploration,
innovative information, novelty and responsive to opportunities at the workplace
(Fredrickson and Losada, 2005; Cropanzano and Wright, 2001). It can, therefore, be argued
that employee engagement activates positive sentiments fostering behaviors such as
innovation, novelty, motivation and enthusiasm. The proposed argument builds on
Fredricksons (2003) broaden-and-build theory that positive sentiments can increase a
persons capital by altering his thinking and action. Keeping in view the preceding debate, it
is hypothesized that:
H2. There will be a positive relationship between employee engagement at the workplace
and extra-role behaviors, i.e., creativity, proactivity and knowledge sharing.
Employee engagement as a mediator
The preceding discussion presented PLE as a prerequisite to employee engagement
where the latter served as a precursor to extra-role behaviors. Similarly, this study
proposes that employeesperception of the learning environment can increase their
engagement in the workplace by providing extrinsic and intrinsic motivation. This
increased engagement can result in various extra-role behaviors (such as creativity,
proactivity and knowledge sharing) as these are positively related to organizational
outcomes (Hobfoll, 2002). Employee engagement, by acting a mediator, facilitates the
relationship between PLE and extra-role behaviors. The proposed argument receives a
theoretical substantiation from the conservation-of-resource theory given by Hobfoll
(2002). The conservation-of-resource theory builds on a resource maximization model
where increase in resources leads to further resource amassing (Hobfoll, 2002).
Employees, to fulfill their esteem needs and maximize welfare, try to gain, protect and
increase organizational resources.
The resource surplus serves as a benefit to both the employer and employee in the form
of organizational efficiency and self-development, respectively (Hobfoll, 2002). For the
organization, this surplus ensures a competitive edge in the market, whereas for the
employee, this resource maximization makes certain that employees remain engaged in their
jobs to conserve significant resources needed to achieve higher goals (Gorgievski and
Hobfoll, 2008). Based on the conservation-of-resource theory, it can be argued that favorable
learning environment stressed by the provision and acquisition of resources can increase
the engagement of employees to achieve those resources, which makes them perform
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behaviors such as creativity, proactivity and knowledge sharing. This study, therefore,
hypothesize that:
H3. The positive relationship between PLE and extra-role behaviors (creativity, proactivity
and knowledge sharing) will be mediated by employee engagement at the workplace.
Method
Participants of the study
According to Islam et al. (2013), employees working in the high-tech professions are
considered as knowledge-based workers and can better demonstrate the learning
environment of their organizations. Therefore, the study collected data from four
different industries of Pakistan, i.e., textile, cement, telecommunications and banking.
The rationale for this heterogeneous sample is that extra-role behaviors are required to
promote in both manufacturing and service sectors and heterogeneous respondents can
better respond to such variables (Eldor and Harpaz, 2016). The data were collected between
January and June 2016. The study used item-response theory with the criteria of
20 respondents against each item of the questionnaire. Therefore, a total of 680
questionnaires were distributed and 563 were used in the final analysis (effective response
rate was 82.7 percent).
Of these, 34 percent of the respondents were from the banking sector, 11 percent from the
cement sector, 28 percent from the telecom sector and 27 percent were from the textile sector.
In addition, respondents were also heterogeneous regarding their demographical
characteristics such as 68 percent of the respondents were male, having around six years
of work experience with their current organization (39 percent), and total work experience of
13.34 years. Majority of the respondents were holding a 16-year degree (41 percent) and were
married (53 percent).
The data were collected using a questionnaire-based survey. First, permission was
obtained from the managers and then questionnaires were distributed among the
respondents on a convenience basis. Respondents of such industries are well literate and
they were asked in English. Respondents argued about the secrecy of their responses and
demanded that only findings of the study should be sent to the management.
The respondents were assured that their responses would be kept confidential and only
summary would be sent to the management. Moreover, to obtain the accurate information
from the respondents, managers were requested to continue their work while sitting in their
office and researchers personally collected data.
Measures
This study used adapted questionnaire to measure job engagement, PLE, creativity,
knowledge sharing and proactivity on a five-point Likert scale ranging from 1¼strongly
disagree to 5 ¼strongly agree.
PLE
The PLE was measured using seven-item shorten version of Marsick and Watkins (2003)
Dimensions of Learning Organization Questionnaire.This scale is reliable for
self-reporting about learning climate of an organization (e.g. Islam et al., 2016; Jo and Joo,
2011). Considering the arguments of Marsick and Watkin (2003) about its unidimensionality,
this study considered it as a single-factor variable and the values of model fit regarding
confirmatory factor analysis (CFA) were found to be good, i.e., χ
2
/df ¼2.11, SRMR ¼0.026,
RMSEA ¼0.045, CFI ¼0.98 and NFI ¼0.97. A sample item includes, In my institution,
whenever people state their views, they also ask what others think.
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Employee engagement
Employee engagement was measured using Schaufeli et al.s (2006) Utrecht Work
Engagement Scale,a nine-item scale. This scale comprised of dedication, vigor and
absorption, which are highly correlated with each other. Therefore, the study used nine
items as a single variable (Hallberg and Schaufeli, 2006; Bakker et al., 2011) and the values of
model fit regarding CFA were found as χ
2
/df ¼2.85, SRMR ¼0.019, RMSEA ¼0.057,
CFI ¼0.99 and NFI ¼0.98 after deleting two items because of high residual values
(Byrne, 2010). A sample item includes, At my work, I feel I am bursting with energy.
Knowledge sharing
Knowledge sharing was measured using three-item validated scale of Van den Hooff and
Hendrix (2004). They reported the value of its internal consistency as 0.84, and a sample
item includes, I regularly inform colleagues about what I am working on.The values of
model fit of CFA in this study were noted as χ
2
/df ¼2.41, SRMR ¼0.03, RMSEA ¼0.053,
CFI ¼0.97 and NFI ¼0.94.
Proactivity
Employeesproactivity was measured using a three-item scale of Griffin et al. (2007).
A sample item includes, I initiate better ways of doing his/her core tasks.The values of
model fit of CFA in this study were noted as χ
2
/df ¼1.93, SRMR ¼0.008, RMSEA ¼0.001,
CFI ¼1.00 and NFI ¼0.99.
Creativity
Employeescreativity was measured using a twelve-item scale of Zhou and George (2001) as
the scale was reported to have internal consistency of 0.95. A sample item includes, I try to
deal with creative solutions for problems.The values of model fit of CFA in this study were
noted as χ
2
/df ¼3.14, SRMR ¼0.075, RMSEA ¼0.067, CFI ¼0.95 and NFI ¼0.94.
Control variables
Past studies have identified a relation among age, gender, qualification, employee
engagement and extra-role behaviors (Liu et al., 2011; Shalley et al., 2004). Therefore, these
variables were treated as control variables.
Results
Preliminary analysis
First, the study conducted a preliminary analysis regarding missing values, data normality,
outliers and multicollinearity as these could affect the validity of the results using AMOS
(Tabachnick and Fidell, 2007; Kline, 2005; Byrne, 2010). The data of the study were found to be
free from missing values, though it is a common issue in collecting data. One of the reasons for
this might be the personal attention of the researchers while collecting the data. The normality
of the data was examined using the values of skewness (±1) and kurtosis (±3), and all the
values were found to be well within limits (Byrne, 2010), whereas outliers were examined
through Mahalanobis distance, where ten responses were excluded from the study (Kline, 2005).
Multicollinearity of the data was examined following the instructions of Tabachnick and Fidell
(2007) that correlations among variables should be less than 0.85 (see Table I).
Second, the study conducted CFA for the unidimensionality. The main reason to prefer
CFA over exploratory factor analysis was that the scales used in this study were adapted
from the previous studies and were reported as valid (Hair et al., 2010). The results of the
CFA are presented in the measurement section of the study. The data were also examined
regarding the values of average variance extracted (AVE), and were calculated by dividing
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environment
the sum of the square of the factor loading with the number of items. The values in Table I
show that the values of AVE range between 0.61 and 0.75, which is higher than 0.50
(Hair et al., 2010).
The values of the mean, standard deviation, correlation and Cronbachsαare presented
in Table I. The values of the mean range between 3.64 and 3.72 and the values of standard
deviation range between 0.61 and 0.74. In addition, the values of Cronbachsαwere well
above the standard value of 0.70 (Hair et al., 2006). The values in the table further represent
that all the variables are positively related to each other and the values of correlation are
below 0.85 (therefore, no multicollinearity).
Structural equation modeling
The values of the model fitness of structured model represent a good fit, i.e., χ
2
/df ¼2.48,
SRMR ¼0.048, RMSEA ¼0.039, CFI ¼0.97 and NFI ¼0.96. In addition, the path coefficients
of structural model in Figure 1 represent that PLE is positively relate to employee
engagement (γ¼0.59, po0.01, CR ¼15.21), knowledge sharing (γ¼0.43, po0.01,
CR ¼16.24), proactivity (γ¼0.29, po0.01, CR ¼16.07) and creativity (γ¼0.39, po0.01,
CR ¼14.58). In addition, employee engagement is positively and significantly related to
knowledge sharing (γ¼0.56, po0.01, CR ¼12.18), proactivity (γ¼0.48, po0.01,
CR ¼11.08) and creativity (γ¼0.28, po0.01, CR ¼10.99). These results support H1 and
H2 (Figure 2).
The mediation analysis was examined using path coefficients. First, a path between
independent (i.e. PLE) and mediating variables (i.e. employee engagement) is examined and is
named path a.Second, a path between mediating (i.e. employee engagement) and the
dependent variables (i.e. knowledge sharing, proactivity and creativity) is examined and is
named path b.Third, the indirect path was calculated by multiplying path aand path b.
The mediation was observed by evaluating the significance of indirect path (Edwards and
Lambert, 2007). The model was examined using 5,000 bootstrap samples as suggested by
Variables Mean SD AVE α12345
1. Learning environment 3.71 0.63 0.68 0.82 1
2. Employee engagement 3.68 0.74 0.75 0.89 0.67** 1
3. Knowledge sharing 3.64 0.74 0.71 0.79 0.48** 0.56** 1
4. Proactivity 3.69 0.70 0.61 0.74 0.26** 0.30** 0.39** 1
5. Creativity 3.72 0.61 0.66 0.88 0.56** 0.52** 0.64** 0.47** 1
Notes: AVE, average variance extracted, SD =Standard Deviation. **po0.01
Table I.
Mean, standard
deviation, Cronbachs
αand correlation
Employee
Engagement
Learning
Environment
Creativity
Proactivity
Knowledge
Sharing
0.43**
0.29**
0.39**
0.59**
0.56**
0.48**
0.28**
Note: **p<0.01
Figure 2.
Standardized
estimates of
hypothesized model
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Preacher and Hayes (2004). The indirect paths of learning environment on extra-role
behaviors through employee engagement were found to be statistically significant such as
knowledge sharing (indirect path coefficient ¼0.33, po0.01), proactivity (indirect path
coefficient ¼0.28, po0.01) and creativity (indirect path coefficient¼0.17, po0.01). These
results suggest that the association between learning environment and extra-role behaviors
can be explained through employee engagement (Chand, 2010), which supports H3.
Discussion and implications
This study aims at investigating the mediating role of employee engagement between PLE
and extra-role behaviors (i.e. knowledge sharing, proactivity and creativity). The results
identify that learning environment enhances employee engagement with their work, which
ultimately promotes sharing of knowledge, creativity and proactivity of the employees.
Learning environment endorses a sense of meaningfulness and challenges, which encourage
them to invest their cognitive, physical and emotional resources in performing
extraordinarily well. The broaden-and-build theory of Fredrickson (2003) and the
conservation-of-resource theory of Hobfoll (2002) also suggest an association among
engagement, extra-role performance and organizational resources.
The literature on employee engagement and job attitudes is clear, but its association
with work performance is inconclusive (Newman et al., 2010). The study found that
employee engagement is beneficiary for the organizations and this contributes to the
organization-employee relationship. Earlier scholars were of the view that
organization-employee relationship is more beneficiary for the organizations (Shore
et al., 2004; Coyle-Shapiro and Shore, 2007). However, emerging field of organizational
behavior suggested that organization-employee relationship is equally advantageous to
the employees (Luthans and Youssef, 2007) as they are the key assets for the organization.
In addition, in todays era of modern technology, less attention is given to understand the
level of activities required by the employees (i.e. engagement) (Masson et al., 2008). As per
the global statistics, only 13 percent of the employees are engaged in their work
enthusiastically (Mann and Harter, 2016). Our findings on this emerging issue corroborate
itsbenefitsfortheemployeesanditisnotonly a repacking of employee-organization
relationship (Vigoda-Gadot et al., 2013).
Most of the past studies have focused on the association between job resource and
employee engagement. However, this study extended the existing literature by focusing on
learning environment of an organization. According to Rahim (2015), most of the
international organizations focus on employer-employee relationships without focusing on
reciprocationwithout which organization cannot win their employeesengagement.
The study found that employees with the perception of learning opportunities are more
likely to engage and in turn tend to share their knowledge with colleagues to be more
creative in the workplace. According to Eldor and Harpaz (2016), learning environment
encourages employees to be creative by fostering their confidence. Therefore, encouraging
learning feedback and promoting team learning connect employees toward organizational
goals by enhancing their enthusiasm and desire to accomplish challenging goals. Particular
to the Pakistani context, empirical statistics regarding employee engagement were found to
be different as 85 percent of the banking employees were found to engage in their jobs,
whereas only 4 percent were found to be actively disengaged (Sidiqui and Maqsood, 2008).
One of the major reasons of such difference of the employee engagement is communication
between employee and employer, which strengthens this association and employees show
commitment toward their organization (Islam et al., 2015). According to the arguments of
Sidiqui and Maqsood (2008), in Pakistan, employees are well informed about their roles and
strategies that enable them to perform their duties without hesitation. In addition,
employees in Pakistan are well aware of the term industrial relationsthat strengthen their
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employer-employee relationship (Rahim, 2015). In general, learning climate positively
influences employee engagement. In addition, the combination of the learning environment
and employee engagement helps employees to manage their career as they focus more on
personal growth and knowledge opportunities (Lee and Bruvold, 2003). Thus, this study
empirically investigates the idea of Schaufeli and Salanova (2007) that allowing employees
to grow via career development is a key factor in encouraging employee engagement.
Although the hypotheses of this study were theoretically driven, it has practical
implications. The study suggests the human resource developers and management to
foster a learning environment. Managers, in order to create organizational vision by
encouraging employees to learn on a continuous basis, should promote a learning
environment that includes motivation, empowerment and sharing of ideas and thoughts
with coworkers. In addition, the study suggests managers to foster a learning
environment to engage their employees, as measuring employee engagement is not
sufficient to sustain. Organization on the other side may get the benefit of engaged
employees as this encourages employees to be creative, proactive and using the acquired
knowledge to accomplish organizational goals.
It is essential for the todays leaner organizations to have more responsible and engaged
employees to accomplish their desired goals. Additionally, globalization and
decentralization make it difficult for the managers monitor their subordinates
performance, especially in harder areas such as creativity and proactivity (Eldor and
Harpaz, 2016; Buchner, 2007). Therefore, managers by encouraging employee engagement
may focus more on performance facilitation comparing performance management. As only
change is permanent, the manager should develop strategies to facilitate employees to deal
with the ever-changing environment. Engaged employees are proactive; therefore, when
they find themselves lacking in environment fit, they try to redesign themselves to cope
with the changing environments. Therefore, managers should foster learning climate to
have more engaged employees.
The study also suggests organizations to let their employees know about employee
relationsrather industrial relations.Employees across the globe are more familiar with
the industrial relationsrather employee relationswhich is labor oriented rather industry
oriented. Organizations must define the term employee relations from their perspective as
NASA has defined it as, Employee relations involve the body of work concerned with
maintaining employer-employee relationships that contribute to satisfactory productivity,
motivation, and morale. Essentially, employee relations are concerned with preventing and
resolving problems involving individuals which arise out of or affect work situations.
Similarly, Oxford University defines the term as, Employee relations is a common title for
the industrial relations function within personnel management [] The term [] is not
confined to the study of trade unions but embraces the broad pattern of employee
management, including systems of direct communication and employee involvement that
target the individual worker.Thus, by defining their perspective of employee relations and
letting their employees know about it, organizations may get the benefit of employee
engagement.
Limitations and future direction
Despite contributing to the existing literature on employee engagement and learning
environment, our study is not free from limitations. First, the data for this study were
collected at a single point of time (cross-sectional), which limit the inferences about the
causality. Therefore, future researchers are suggested to conduct a longitudinal study.
Second, the results of this study are limited to Pakistan that represents Asian culture; future
studies should replicate the model in western culture for its generalizability as a culture may
affect the results (Islam et al., 2015) and employee engagement is a global issue. Third, the
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data of this study were self-reported, which may raise a question on common source biases.
Therefore, future researchers should consider supervisors to collect data about employees
extra-role behaviors. Finally, future researchers may extend the model by taking
dimensions of learning climate and incorporating variables like organizational politics and
ethical climate.
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Corresponding author
Talat Islam can be contacted at: talatislam@yahoo.com
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In this chapter, we examine the psychological state of employee work engagement. Our objective is to provide an overview of the engagement construct, clarify its definition, and discuss its behavioral outcomes. We discuss the development of the work engagement construct, which has led to many inconsistencies among scholars about its definition. We clarify that engagement captures employees' strong focus of attention, intense absorption, and high energy toward their work-related tasks. Work engagement is important to the positive organizational scholarship (POS) field because engagement can lead to a number of positive outcomes, such as in-role and extra-role performance, client satisfaction, proactivity, adaptivity, and creativity. Managers, however, must ensure that employees have adequate resources and sufficient breaks, so that engagement does not lead to burnout or depletion. We encourage scholars interested in studying engagement in the future to investigate the contextual moderators that affect the relationship between engagement and employee behavior and examine the differential effects of the components of engagement-attention, absorption, and energy.
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In this book chapter we have outlined a comprehensive framework of burnout and job-engagement based on COR theory, for the first time placing emphasis on job-engagement. We defined burnout and job-engagement as multifaceted phenomena revolving around intrinsic energy resources, or vigor. Cognitive and behavioral inclinations, such as behavioral inhibition versus approach orientation, are considered to be close co-travelers. Burnout results from a slow, stressful process of resource bleed out that is not counterbalanced by resource gains, thus accumulating to significant losses. We proposed that job-engagement is the resultant of the inverted process of real or anticipated resource gains. Gains become significant if they feed into peoples’ primary resources, which are essential for survival or relate to basic needs, but they must also support peoples’ psychological resources of sense of efficacy, self-esteem, and sense of success. COR theory emphasizes that changes in resource levels are the principle axis by which burnout and job-engagement process are activated and sustained, or inhibited and curtailed. This means that, no matter how excellent ones’ performance, just staying the course without generating further gains is not expected to be very engaging. In such cases, people need to take investment risks in order to initiate further positive changes. Based in this idea we have proposed a new framework for boosting engagement at work based on general principles of COR theory, called striving for dynamic stability and tolerance for failure. The starting point for this framework is creativity and innovativeness as key to job-engagement. The building blocks are flexibility, balance, diversity, interdependence, loyalty, trust and tolerance for failure. We emphasize that these building blocks are important resources on both individual and environmental level, that need to fit together in order to activate and sustain engagement processes. Synergy between individuals, teams and the organization needs to be emphasized where possible, which keeps the focus on strengths and resource gain. Hopefully our framework provides an impetus for extending current job-engagement research towards original dynamic multi-level investigations.