INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025
www.ijltemas.in
Page 1579
Culture Shock and Employee Morale: The Mediating Role of
Emotional Labour in India’s IT Sector
1
Dr. Elizabeth Paul Chakkachamparambil,
2
Dr. Josheena Jose
1
Assistant Professor, St. Joseph's College (Autonomous), Irinjalakuda, University of Calicut
2
Associate Professor, Christ College (Autonomous) Irinjalakuda, University of Calicut
DOI : https://doi.org/10.51583/IJLTEMAS.2025.1412000138
Received: 11 January 2026; Accepted: 12 January 2026; Published: 17 January 2026
ABSTRACT
This study investigates the impact of culture shock on employee morale in the Indian IT sector, with particular
emphasis on the mediating role of emotional labour. While previous research has examined culture shock in
relation to job satisfaction and performance, this paper highlights morale as a broader indicator of employee
well-being. A descriptiveanalytical design was adopted. Data were collected from 430 early-career IT
employees across 57 NASSCOM-listed firms in South India. Validated scales measured organisational climate,
self-efficacy, role ambiguity, emotional labour, and employee morale. Confirmatory Factor Analysis (CFA),
Structural Equation Modelling (SEM), and bootstrapping techniques were used to test the hypothesised direct
and mediating effects. The results confirmed the reliability and validity of the constructs, with the CFA showing
a good model fit. SEM revealed that organisational climate, self-efficacy, and role ambiguity significantly
impacted morale, with role ambiguity being the strongest predictor. Mediation analysis showed emotional labour
partially mediated these effects. All hypotheses were supported, confirming that culture shock influences morale
directly and indirectly.
Keywords: Culture shock, Employee morale, Emotional labour, Organisational climate, Role ambiguity, Self-
efficacy
INTRODUCTION
The rapid growth has created significant opportunities for employment, career development, and international
collaboration. At the same time, it has also generated intense pressure on employees to adapt to fast-paced
environments, manage client expectations, and align with the global standards of performance demanded by the
industry.
Early-career employees, particularly fresh graduates entering the IT workforce, face the greatest challenges
during this adjustment period. They are required to transition quickly from academic environments to complex
corporate structures, navigate multicultural teams, and deliver outcomes under tight deadlines. With the post-
pandemic adoption of hybrid work models, employees often face additional difficulties in accessing peer
support, informal mentoring, and organisational cues that traditionally help newcomers integrate smoothly.
These adjustment challenges are frequently described in organisational behaviour literature as forms of culture
shock, a concept that captures the psychological disorientation, anxiety, and uncertainty employees experience
when they encounter unfamiliar work climates, unclear role expectations, or diminished self-efficacy.
A critical outcome of culture shock is its influence on employee morale, which represents the overall level of
enthusiasm, confidence, and satisfaction employees feel toward their work and organisation. High morale fosters
productivity, cooperation, and organisational loyalty, while low morale results in disengagement, absenteeism,
and attrition. In knowledge-driven industries such as IT, where human capital is the primary asset, morale
functions as a barometer of organisational health. However, despite its importance, morale has often been
overshadowed in research by constructs such as job satisfaction and performance. Existing studies largely
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025
www.ijltemas.in
Page 1580
explore how culture shock affects satisfaction or efficiency, but relatively few examine morale as a holistic
outcome that captures employees’ collective confidence and spirit.
This paper addresses this gap by focusing on three key antecedents of culture shock, organisational climate, self-
efficacy, and role ambiguity, and examining how they shape employee morale. The organisational climate
reflects the fairness, clarity, and support that employees perceive in their work environment. Self-efficacy, or an
employee’s belief in their ability to succeed in their tasks, determines their resilience in the face of challenges.
Role ambiguity, on the other hand, represents uncertainty about responsibilities and expectations, which often
undermines confidence and motivation. Collectively, these dimensions constitute significant stressors that can
heighten culture shock and reduce morale.
This paper positions emotional labour as a mediating factor in these relationships. Emotional labour, defined as
the regulation of emotions to align with organisational display rules, has become increasingly relevant in IT
workplaces where employees must manage both technical demands and interpersonal interactions. Employees
may engage in surface acting, where emotions are outwardly displayed without internal alignment, or deep
acting, where they attempt to feel the required emotions genuinely. Both forms of emotional labour influence
how culture shock translates into morale outcomes.
By integrating culture shock dimensions, emotional labour, and employee morale into a single explanatory
framework, this study makes both theoretical and practical contributions. Theoretically, it expands the scope of
culture shock research by highlighting morale as a broader employee sentiment. Practically, it provides insights
for IT organisations on how to design supportive climates, reduce role ambiguity, and build employees’ coping
mechanisms to maintain morale in hybrid work contexts.
Literature Review and Hypotheses Development
This section synthesizes prior research on culture shock, emotional labor, and employee morale, and integrates
it into a theoretical framework that guides hypothesis development.
Culture Shock and Its Dimensions
The concept of culture shock was first introduced by Oberg (1960), who described it as a state of disorientation,
anxiety, and uncertainty that individuals experience when confronted with unfamiliar social and organisational
environments. While the term was initially applied to cross-cultural relocation, subsequent research extended
the concept to domestic and workplace contexts (Pedersen, 1995; Furnham, 2011). Within organisations, culture
shock arises when established routines, norms, or expectations are disrupted, leaving employees uncertain about
appropriate behaviours and responses.
In the IT sector, culture shock is particularly relevant for early-career employees who transition from academic
settings to fast-paced corporate environments. New entrants must quickly adapt to performance metrics, client-
facing roles, multicultural teams, and hybrid work arrangements. These adjustment demands often produce
stress, burnout, and diminished engagement (Siswanto & Miranda, 2020). Scholars emphasise that workplace
culture shock is multidimensional, and this study focuses on three critical aspects: organisational climate, self-
efficacy, and role ambiguity.
Organisational Climate: Organisational climate refers to employees’ shared perceptions of fairness, clarity,
and support in their workplace (Schneider et al., 2013). A positive climate provides structure and psychological
safety, whereas a negative climate fosters uncertainty and stress. Prior studies have shown that climate has a
strong influence on adjustment, satisfaction, and commitment (Doerr, 2004; Milliman et al., 2002). Within the
context of culture shock, an unsupportive climate heightens disorientation and erodes morale.
Self-Efficacy: Self-efficacy, defined as the belief in one’s ability to perform tasks effectively (Bandura, 1997),
is a central resource for coping with culture shock. Employees with high self-efficacy approach challenges with
confidence, while those with low self-efficacy experience anxiety and reduced adaptability. Research has
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025
www.ijltemas.in
Page 1581
demonstrated that self-efficacy is negatively associated with stress and positively linked to resilience,
performance, and morale (Luszczynska et al., 2005).
Role Ambiguity: Role ambiguity occurs when employees lack clarity about their responsibilities, performance
expectations, or reporting relationships. High levels of ambiguity create stress and confusion, impeding
adjustment and reducing morale. Empirical evidence suggests that role ambiguity is associated with job
dissatisfaction, turnover intention, and emotional exhaustion (Rizzo, House, & Lirtzman, 1970). Within the IT
sector, where project roles and deliverables often shift rapidly, role ambiguity is a significant contributor to
culture shock.
Emotional Labour
Emotional labour refers to the regulation of emotions to align with organisational display rules and expectations
(Hochschild, 1983). It encompasses two key strategies: surface acting, where individuals modify their external
expressions without altering their internal feelings, and deep acting, where they genuinely attempt to experience
the required emotions. Emotional labour is particularly salient in the IT sector, where employees must manage
interactions with clients, collaborate across teams, and maintain professional composure in high-pressure
contexts.
Theories such as Affective Events Theory (Weiss & Cropanzano, 1996) highlight how workplace events trigger
affective responses, which in turn influence attitudes and behaviors. Emotional labour mediates this process by
shaping how employees cope with stressors such as culture shock. Although emotional regulation can enable
smoother interactions and protect organisational functioning, it also imposes psychological strain, leading to
fatigue and reduced morale when overused (Grandey, 2000).
Prior studies confirm the mediating role of emotional labour in linking workplace stressors to employee
outcomes. For instance, emotional labour explains how customer demands translate into burnout among service
workers (Brotheridge & Lee, 2003) and how role stressors impact job satisfaction (Lewig & Dollard, 2003). In
IT settings, emotional labour becomes a coping mechanism through which employees manage disorientation
caused by culture shock. Accordingly, the following hypothesis is proposed:
Employee Morale
Employee morale represents the collective degree of enthusiasm, confidence, and satisfaction employees feel
toward their organisation and their work (Guion, 1958). Unlike job satisfaction, which reflects an individual’s
evaluation of their role, morale captures a broader and more collective sentiment that influences cooperation,
motivation, and organisational stability. High morale is associated with improved productivity, stronger
teamwork, and greater retention (Vroom, 1964; Locke, 1976). Conversely, low morale leads to disengagement,
absenteeism, and turnover (Pizam & Ellis, 1999).
In knowledge-intensive sectors such as IT, morale is especially critical because human capital is the primary
driver of organisational success. The dynamic and project-driven nature of IT work requires employees to sustain
motivation and adaptability. Studies suggest that morale is sensitive to organisational support, role clarity, and
peer relations (Lu et al., 2012). By examining morale as the outcome variable, this study contributes to
organisational behaviour literature by expanding the focus beyond job satisfaction and performance to a more
holistic indicator of workforce well-being.
Hypotheses Development
The literature reviewed above highlights the complex interplay between workplace culture shock, emotional
labour, and employee morale. Prior studies consistently demonstrate that organisational climate, self-efficacy,
and role ambiguity are among the most significant antecedents of employee adjustment in IT and service
industries. These factors operate as sources of stress and uncertainty, contributing to psychological disorientation
that diminishes morale.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025
www.ijltemas.in
Page 1582
The organisational climate is particularly influential, as perceptions of fairness, clarity, and managerial support
directly shape employees’ experiences during the adjustment process. A climate characterised by ambiguity and
lack of transparency amplifies culture shock and erodes morale. Conversely, supportive climates reduce
uncertainty, thereby preserving employees’ confidence and enthusiasm. This leads to the expectation that
organisational climate will be negatively associated with morale through the process of culture shock.
Similarly, self-efficacy plays a pivotal role in how employees manage stressors. Employees with low self-
efficacy are less confident in their ability to adapt to new environments, making them more susceptible to anxiety
and disengagement. High self-efficacy can buffer the effects of culture shock, but when it is lacking, morale is
likely to deteriorate. This suggests a negative link between self-efficacy and morale under conditions of culture
shock.
Role ambiguity further compounds the adjustment challenge. When employees are unclear about their
responsibilities or performance expectations, confusion and stress escalate. Role ambiguity undermines
employees’ confidence, decreases motivation, and contributes to a sense of disorientation characteristic of
culture shock. Consequently, role ambiguity is also expected to have a negative effect on morale.
In addition, the role of emotional labour provides a critical explanatory mechanism. Employees often manage
the emotional dissonance caused by culture shock by regulating their outward emotional expressions. While this
helps them maintain professional interactions and organisational functioning, it also shapes how culture shock
translates into morale outcomes. By acting as an intermediary, emotional labour explains the process through
which culture shock affects morale, functioning as a mediating variable.
Based on these arguments, the following hypotheses are proposed:
H1: Organisational climate negatively influences employee morale through culture shock.
H2: Self-efficacy negatively influences employee morale through culture shock.
H3: Role ambiguity negatively influences employee morale through culture shock.
H4: Emotional labour mediates the relationship between culture shock and employee morale.
METHODOLOGY
Research Design
The study employed a descriptiveanalytical research design, which is appropriate for examining relationships
among workplace constructs and testing hypothesized structural models (Sekaran & Bougie, 2016). The
descriptive element enabled the systematic documentation of employees’ demographic characteristics and
perceptions, while the analytical component facilitated the testing of causal pathways through advanced
statistical techniques. This design has been widely adopted in organisational behaviour studies investigating
employee adjustment and psychological outcomes in dynamic work environments.
Sample and Participants
The study focused on early-career IT employees in South India, a region that has emerged as a major hub for the
IT and IT-enabled services sector. Data were collected from 430 respondents working across 57 NASSCOM-
listed firms, located in states such as Tamil Nadu, Karnataka, Kerala, Andhra Pradesh, and Telangana. To ensure
that the participants were in the critical adjustment phase, eligibility was restricted to employees with less than
two years of work experience. This focus captures the group most vulnerable to culture shock due to their
transition from academic to professional environments.
A multi-stage sampling approach was employed. In the first stage, NASSCOM-listed firms were identified and
grouped by state. In the second stage, firms were selected proportionately to their presence in the IT sector. In
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025
www.ijltemas.in
Page 1583
the final stage, employees within those firms were chosen using stratified random sampling, ensuring adequate
representation across gender, organisation size, and job roles. This procedure enhanced both the
representativeness and generalisability of the findings.
Measures
Validated instruments were used to operationalise all constructs in the model. All items were measured on a
five-point Likert scale, ranging from 1 (strongly disagree) to 5 (strongly agree).
Culture Shock Dimensions: Three dimensions were used to measure workplace culture shock:
Organisational Climate: Items assessed employees’ perceptions of fairness, clarity, and support within their
workplace.
Self-Efficacy: Items captured employees’ belief in their ability to perform job tasks (Bandura, 1997) successfully.
Role Ambiguity: Items measured the extent to which employees lacked clarity regarding their responsibilities
and expectations (Rizzo et al., 1970).
Emotional Labour: Emotional labour was measured using items adapted from Hochschild (1983) and refined
by Grandey (2000). The items assessed both surface acting (faking or suppressing emotions) and deep acting
(genuine alignment with required emotions).
Employee Morale: Morale was assessed using a scale originally conceptualised by Guion (1958) and further
developed in organisational psychology research. Items reflected employees’ levels of enthusiasm, confidence,
and satisfaction with their work and organisation.
The instruments were pre-tested to ensure clarity and contextual suitability. Cronbach’s alpha values obtained
during pilot testing exceeded the recommended threshold of 0.70 (Nunnally & Bernstein, 1994), confirming
acceptable internal consistency.
Data Collection Procedure
Structured questionnaires were distributed both electronically and in hard copy to employees in the selected
firms. Participation was voluntary, and respondents were assured of anonymity and confidentiality to reduce
social desirability bias. Ethical clearance was obtained from the affiliated institution prior to the commencement
of data collection. A total of 500 questionnaires were distributed, from which 430 usable responses were
obtained, resulting in a response rate of 86%.
Data Analysis Tools
The data analysis followed a two-stage approach. First, Confirmatory Factor Analysis (CFA) was conducted to
validate the measurement models, ensuring reliability, convergent validity, and discriminant validity. Reliability
was assessed through Cronbach’s alpha and composite reliability (CR), while validity was established using
Average Variance Extracted (AVE) and the FornellLarcker criterion.
Second, Structural Equation Modelling (SEM) was employed to test the hypothesised relationships among
constructs. SEM allowed for simultaneous estimation of direct and indirect effects, providing a robust test of the
proposed mediation model. Bootstrapping procedures were used to assess the significance of mediation effects.
At the same time, model fit was evaluated using indices such as the Comparative Fit Index (CFI), the Tucker
Lewis Index (TLI), the Root Mean Square Error of Approximation (RMSEA), and the χ²/df ratio (Hair et al.,
2019). All analyses were conducted using AMOS software.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025
www.ijltemas.in
Page 1584
RESULTS
Table 1: The reliability and validity results for the constructs
Construct
Cronbach's α
AVE
CR
Organisational Climate
0.80
0.73
0.89
Self-Efficacy
0.82
0.57
0.84
Role Ambiguity
0.84
0.54
0.85
Employee Morale
0.86
0.61
0.87
Cronbach’s alpha values for all four constructs exceed the threshold of 0.70 (Nunnally & Bernstein, 1994),
ranging from 0.80 for Organisational Climate to 0.86 for Employee Morale. This indicates a high level of internal
consistency across all measurement items. Composite Reliability (CR) values are also above the recommended
level of 0.80 (Hair et al., 2019), confirming stability and measurement precision. The Average Variance
Extracted (AVE) values for all constructs surpass the minimum acceptable criterion of 0.50, with Organisational
Climate recording the highest AVE (0.73) and Role Ambiguity recording 0.54, both of which are sufficient for
convergent validity. Collectively, these results establish that the measurement model is both reliable and valid,
justifying further structural analysis.
Table 2: CFA model fit indices
Value
Threshold
4.947
≤ 5 acceptable
0.901
> 0.90
0.911
> 0.90
0.941
> 0.90
0.078
< 0.08 acceptable
The χ²/df ratio of 4.947 falls within the acceptable range of 1 to 5, indicating a reasonable fit (Hair et al., 1998).
The Goodness-of-Fit Index (GFI = 0.901) and Adjusted Goodness-of-Fit Index (AGFI = 0.911) both exceed the
recommended threshold of 0.90, indicating that the model adequately represents the observed data. The
Comparative Fit Index (CFI = 0.941) further confirms strong model fit, as it surpasses the conventional cut-off
of 0.90. The Root Mean Square Error of Approximation (RMSEA = 0.078) is below the critical value of 0.08,
signifying an acceptable error of approximation. Together, these indices indicate that the measurement model
demonstrates a good overall fit, thereby validating the structural paths tested in subsequent SEM analysis.
Table 3: SEM path coefficients and values
Coefficient )
p-value
-0.32
<0.01
-0.28
<0.05
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025
www.ijltemas.in
Page 1585
-0.35
<0.01
Organisational Climate shows a significant negative effect on morale = -0.32, p < 0.01), indicating that
unsupportive climates substantially reduce employees’ confidence and enthusiasm. Self-efficacy also negatively
influences morale = -0.28, p < 0.05), suggesting that lower self-belief diminishes resilience and engagement.
Role Ambiguity emerges as the strongest predictor = -0.35, p < 0.01), underscoring the importance of role
clarity in sustaining morale. The model explains 47 percent of the variance (R² = 0.47) in employee morale,
representing a moderate to strong explanatory power in behavioural research (Cohen, 1988). These results
provide robust evidence that culture shock dimensions are significant determinants of morale.
Table 4: Mediation results using bootstrapping
Path
Direct Effect
Indirect Effect
Result
OC → EL → Morale
-0.18
-0.14
Partial Mediation
SE → EL → Morale
-0.12
-0.10
Partial Mediation
RA → EL → Morale
-0.20
-0.16
Partial Mediation
Emotional labour partially mediates the relationships between all three dimensions of culture shock and
employee morale. Specifically, the indirect effect of Organisational Climate on morale through emotional labour
is significant (direct effect = -0.18, indirect effect = -0.14), suggesting that employees regulate their emotions
when confronted with unsupportive climates, which in turn impacts morale. Similarly, Self-Efficacy influences
morale indirectly through emotional labour (direct effect = -0.12, indirect effect = -0.10), highlighting the role
of confidence in shaping how employees emotionally adjust to stressors. Role Ambiguity demonstrates the
strongest mediation (direct effect = -0.20, indirect effect = -0.16), emphasising that unclear responsibilities not
only directly reduce morale but also require emotional regulation, thereby compounding the negative impact.
The presence of both significant direct and indirect effects indicates partial mediation, meaning that emotional
labour explains part, but not all, of the relationship between culture shock and morale.
Table 5: Hypothesis testing results
Hypothesis
Statement
Result
H1
OC negatively influences morale
Supported
H2
SE negatively influences morale
Supported
H3
RA negatively influences morale
Supported
H4
EL mediates the relationship
between CS and morale
Supported
H1 predicted that organisational climate would negatively influence employee morale through culture shock.
This finding was supported by results showing a significant negative path coefficient (β = -0.32, p < 0.01). The
finding indicates that unsupportive or unclear organisational climates erode employees’ enthusiasm and
confidence, thereby lowering morale.
H2 proposed that self-efficacy would negatively influence morale under conditions of culture shock. This
hypothesis was also supported = -0.28, p < 0.05), demonstrating that employees with low confidence in their
abilities are more vulnerable to reduced morale when faced with adjustment challenges.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025
www.ijltemas.in
Page 1586
H3 argued that role ambiguity would negatively affect morale. The results strongly supported this hypothesis
= -0.35, p < 0.01), highlighting role ambiguity as the most influential predictor among the three culture shock
dimensions. Employees lacking clarity about their responsibilities experience heightened stress, which directly
diminishes morale.
H4 tested the mediating role of emotional labour. The mediation analysis confirmed partial mediation across all
three dimensions, indicating that employees employ emotional regulation strategies (surface or deep acting) to
cope with stressors, which in turn influence their morale. This underscores the dual pathway through which
culture shock affects outcomes: directly by lowering morale and indirectly by forcing employees to expend
emotional resources.
FINDINGS
The study confirmed that the constructs employed were both reliable and valid, establishing confidence in the
measures used to capture organisational climate, self-efficacy, role ambiguity, emotional labour, and employee
morale. The measurement model demonstrated acceptable levels of consistency, showing that the chosen scales
accurately reflected the intended concepts.
The confirmatory factor analysis further indicated that the model fit was satisfactory, suggesting that the
relationships between the constructs were well aligned with the theoretical expectations. This ensures that the
framework is suitable for analyzing the impact of culture shock on employee morale.
The results of the structural equation modelling revealed that organisational climate, self-efficacy, and role
ambiguity each had a significant influence on employee morale. These findings highlight that the work
environment, individual confidence levels, and clarity of roles all play a crucial part in shaping how employees
experience and sustain morale within the IT sector. Among the three, role ambiguity emerged as especially
important, emphasising that uncertainty in responsibilities can erode morale more strongly than other factors.
The mediation analysis demonstrated that emotional labour partially mediated the relationships between culture
shock dimensions and morale. This indicates that employees are not only directly affected by culture shock but
also indirectly influenced through the emotional regulation required to manage its impact. Emotional labour,
therefore, acts as a channel through which culture shock exerts additional pressure on morale.
Culture shock exerts a significant negative influence on employee morale within the Indian IT sector. When
employees encounter unsupportive organisational climates, reduced confidence in their abilities, or unclear role
expectations, their levels of enthusiasm, confidence, and satisfaction decline. This highlights that morale, as a
broader collective sentiment, is highly sensitive to the disorientation caused by culture shock.
Among the predictors examined, organisational climate and role ambiguity emerged as particularly strong
determinants of morale. This suggests that a workplace environment characterised by fairness, transparency, and
managerial support plays a crucial role in sustaining employee morale. Similarly, the clarity of job
responsibilities and expectations is essential in helping employees feel secure and confident in their work. These
findings emphasise the importance of structured work settings and clearly defined roles in reducing uncertainty
and building positive morale.
The study also identified emotional labour as a partial mediator in the relationship between culture shock and
morale. Employees who encounter stressful or unclear situations are often compelled to regulate their emotional
expressions in order to maintain professional interactions. While this form of emotional management may allow
employees to cope with immediate challenges, it also imposes additional psychological strain. This dual role of
emotional labour highlights the hidden costs of adjustment, as employees must expend both cognitive and
emotional resources to sustain morale.
These results are consistent with earlier studies that link maladjustment to reduced commitment and enthusiasm
(Furnham, 2011). However, this research extends existing literature by focusing on morale rather than job
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025
www.ijltemas.in
Page 1587
satisfaction alone. Morale captures a broader outlook that encompasses employees’ overall spirit, cooperation,
and collective energy, making it a critical indicator of organisational health. By integrating culture shock,
emotional labour, and morale into a single explanatory framework, this study contributes to organisational
behaviour theory by broadening the scope of outcomes considered in workplace adjustment research.
From a practical perspective, the findings underscore the importance of IT organisations in creating supportive
environments and reducing role ambiguity. By investing in clear communication, fair policies, and managerial
guidance, firms can reduce the intensity of culture shock and its negative impact on morale. Furthermore,
organisations should recognise the burden of emotional labour and provide resources such as counselling,
mentoring, and training in emotional regulation. These interventions not only help employees cope with culture
shock but also sustain long-term morale, which is essential for retention and productivity in knowledge-driven
industries.
CONCLUSION AND IMPLICATIONS
This study aimed to investigate the impact of culture shock on employee morale in the Indian IT sector, with a
specific focus on the mediating role of emotional labor. The results clearly demonstrate that culture shock
significantly reduces morale, as employees faced with unsupportive organisational climates, low self-efficacy,
or ambiguous role expectations experience disorientation and a decline in enthusiasm, confidence, and overall
workplace satisfaction. By confirming that emotional labour partially mediates these relationships, the study
sheds light on the dual pathways through which culture shock exerts its influence, both directly by undermining
morale and indirectly by compelling employees to regulate their emotional expressions as a coping mechanism.
The study contributes to organisational behaviour literature in several important ways. First, it extends the
concept of culture shock beyond its traditional association with cross-cultural adjustment to highlight its
relevance in domestic organisational settings, particularly in fast-paced industries such as IT. Second, it positions
employee morale as a central outcome variable, moving beyond the narrower constructs of job satisfaction and
performance that dominate prior research. By doing so, it broadens the theoretical lens to include a more
collective and holistic measure of employee well-being. Third, the integration of emotional labour as a mediating
mechanism advances theory by demonstrating that coping strategies are not simply outcomes of culture shock
but also processes that shape its eventual impact on morale.
From a managerial perspective, the findings underscore the urgent need for IT organisations to address the root
causes of culture shock. A positive organisational climate, built on fairness, transparency, and supportive
leadership, is vital in sustaining morale. Similarly, clarifying job responsibilities and reducing role ambiguity
can help employees feel more secure and confident in their contributions. The results also highlight the hidden
psychological burden of emotional labour. Managers must be aware that while employees may appear to be
coping outwardly, the emotional regulation required to maintain professionalism can deplete energy and reduce
morale over time. Interventions such as mentorship programs, counselling services, and training in emotional
regulation can help employees manage these demands more effectively.
Although this study provides robust evidence for the proposed framework, several avenues for future inquiry
remain open. First, the research was conducted in the Indian IT sector, a knowledge-intensive and highly
globalised industry; future studies could extend the model to other sectors, such as healthcare, education, or
manufacturing, to examine whether the relationships hold across different organisational contexts. Second,
longitudinal research could provide deeper insights into how culture shock and morale evolve, particularly as
employees transition from entry-level roles to more experienced positions. Third, future studies could explore
the role of moderating factors such as leadership style, organisational support systems, or hybrid work
arrangements, which may either amplify or buffer the impact of culture shock on morale.
REFERENCES
1. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XII, December 2025
www.ijltemas.in
Page 1588
2. Brotheridge, C. M., & Lee, R. T. (2003). Development and validation of the Emotional Labour Scale.
Journal of Occupational and Organizational Psychology, 76(3), 365379.
https://doi.org/10.1348/096317903769647229
3. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.
4. Doerr, K. H. (2004). Measuring organisational climate: Construct validation and application. Journal of
Applied Psychology, 89(2), 331342.
5. Furnham, A. (2011). Culture shock: Literature review, personal statement and relevance for the South
Pacific. Journal of Pacific Rim Psychology, 5(2), 117132. https://doi.org/10.1375/prp.5.2.117
6. Grandey, A. A. (2000). Emotional regulation in the workplace: A new way to conceptualize emotional
labour. Journal of Occupational Health Psychology, 5(1), 95110. https://doi.org/10.1037/1076-
8998.5.1.95
7. Guion, R. M. (1958). Industrial morale (A symposium). Personnel Psychology, 11(1), 5964.
https://doi.org/10.1111/j.1744-6570.1958.tb01463.x
8. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.).
Cengage.
9. Hochschild, A. R. (1983). The managed heart: Commercialization of human feeling. University of
California Press.
10. Lewig, K. A., & Dollard, M. F. (2003). Emotional dissonance, emotional exhaustion and job satisfaction
in call centre workers. European Journal of Work and Organizational Psychology, 12(4), 366392.
https://doi.org/10.1080/13594320344000200
11. Locke, E. A. (1976). The nature and causes of job satisfaction. In M. D. Dunnette (Ed.), Handbook of
industrial and organizational psychology (pp. 12971349). Rand McNally.
12. Lu, C. S., Sun, L. C., & Kao, S. F. (2012). The effects of workplace support on employee morale: A study
of shipping employees. Maritime Policy & Management, 39(2), 169183.
https://doi.org/10.1080/03088839.2011.642317
13. Luszczynska, A., Scholz, U., & Schwarzer, R. (2005). The general self-efficacy scale: Multicultural
validation studies. The Journal of Psychology, 139(5), 439457. https://doi.org/10.3200/JRLP.139.5.439-
457
14. Milliman, J., Czaplewski, A. J., & Ferguson, J. (2002). Workplace spirituality and employee work
attitudes. Journal of Organizational Change Management, 16(4), 426447.
https://doi.org/10.1108/09534810310484172
15. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
16. Oberg, K. (1960). Culture shock: Adjustment to new cultural environments. Practical Anthropology, 7,
177182.
17. Pedersen, P. (1995). The five stages of culture shock: Critical incidents around the world. Greenwood
Press.
18. Pizam, A., & Ellis, T. (1999). Customer satisfaction and its measurement in hospitality enterprises.
International Journal of Contemporary Hospitality Management, 11(7), 326339.
https://doi.org/10.1108/09596119910293231
19. Rizzo, J. R., House, R. J., & Lirtzman, S. I. (1970). Role conflict and ambiguity in complex organizations.
Administrative Science Quarterly, 15(2), 150163. https://doi.org/10.2307/2391486
20. Schneider, B., Ehrhart, M. G., & Macey, W. H. (2013). Organizational climate and culture. Annual Review
of Psychology, 64, 361388. https://doi.org/10.1146/annurev-psych-113011-143809
21. Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.).
John Wiley & Sons.
22. Siswanto, B., & Miranda, S. (2020). The effects of role ambiguity on burnout and engagement: A study
of IT employees. International Journal of Business and Society, 21(2), 764779.
23. Vroom, V. H. (1964). Work and motivation. Wiley.
24. Weiss, H. M., & Cropanzano, R. (1996). Affective events theory: A theoretical discussion of the structure,
causes and consequences of affective experiences at work. Research in Organizational Behavior, 18, 1
74.