Literature DB >> 36128516

How does COVID-19 pandemic strength influence work fatigue? The mediating role of occupational calling.

Jie Zhou1.   

Abstract

Drawing on event system theory, this study explored the mechanism by which COVID-19 pandemic strength (including criticality, disruption, and novelty) influences work fatigue through the mediating role of occupational calling. A two-wave field study was conducted with 857 Chinese police officers using COVID-19 pandemic strength, occupational calling, and work fatigue questionnaires. The results showed that COVID-19 pandemic criticality had a positive effect on work fatigue and occupational calling, and that occupational calling mediated the direct link between COVID-19 pandemic criticality and work fatigue. Additionally, the first and second stages of the mediating effect were jointly moderated by COVID-19 pandemic disruption and novelty. When COVID-19 pandemic disruption and novelty were high, the positive relationship between COVID-19 pandemic criticality and occupational calling, and the mediating role of occupational calling, were stronger. The negative relationship between occupational calling and work fatigue was strengthened when COVID-19 pandemic disruption was high and novelty was low.
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.

Entities:  

Keywords:  COVID-19 pandemic strength; Event system theory; Occupational calling; Work fatigue

Year:  2022        PMID: 36128516      PMCID: PMC9478163          DOI: 10.1007/s12144-022-02846-0

Source DB:  PubMed          Journal:  Curr Psychol        ISSN: 1046-1310


Introduction

The coronavirus disease 2019 (COVID-19) pandemic has widely and deeply affected human lives and work since 2020 (Liu et al., 2021; Zhu et al., 2020). According to the World Health Organization (2021), as of December 25, 2021, over 200 million people had been infected and 5 million people had died worldwide. The high risk of infection, factory shutdowns, unemployment, and a chaotic social order have unprecedentedly increased the workload and stress of police officers, thus creating immense physical and psychological challenges for them. Accordingly, research on work fatigue caused by the occupational characteristics of police has increased (Stogner et al., 2020). In a sample of 5,467 police officers in a significant sub-central city of Hubei Province in China, more than 70% experienced work stress and fatigue, and 21.6% had difficulties in adaptation (Zhu et al., 2020). Furthermore, 50% of Indian police officers reported mental disturbances, and 32.4% reported work stress after the pandemic (Khadse et al., 2020). Work fatigue among police officers remains an important theoretical and practical issue (Zhou et al., 2020), and has received considerable attention from researchers and managers. In the past, numerous studies have explored the effects of individual psychological and external environmental factors on work fatigue. These include stressors (Stogner et al., 2020), passive emotions (Ashforth & Schinoff, 2016), depression and anxiety (Teng et al., 2020), insomnia (Fekedulegn et al., 2017), and demanding working conditions and negative events (Bacharach & Bamberger, 2007). However, the effects of external event attributes on police officers’ work fatigue remains overlooked, particularly concerning COVID-19 pandemic. Zhou et al. (2020) explored the effect of COVID-19 pandemic disruption on the link between occupational calling and work fatigue. However, they did not examine the joint interactive effect of various characteristics of COVID-19 pandemic strength on work fatigue. In contrast to previous pandemics, COVID-19 has the fastest transmission speed, greatest difficulty in prevention and control, and widest transmission range. These characteristics correspond with the attributes of event criticality, disruption, and novelty (Liu et al., 2020); and, drawing upon Event System Theory (EST), COVID-19 pandemic strength will influence police officers’ work fatigue (Gross et al., 2011). Moreover, the mechanism underlying the link between COVID-19 pandemic attributes and work fatigue must be further investigated. Recent research demonstrates that COVID-19 pandemic strength is associated with emotional exhaustion, and that high prosocial motivation strengthens this link (Caldas et al., 2021; Zhu et al., 2021). Prosocial motivation is a typical occupational calling attribute (Praskova et al., 2015; Zhang et al., 2015). Police officers often experience a high sense of occupational calling because of the high social responsibility related to their job (Zhou et al., 2020). However, they also experience work fatigue in a dynamic and stressful environment (Fekedulegn et al., 2017). The COVID-19 pandemic criticality has increased police officers’ awareness of their occupational calling and responsibility, which may reduce their work fatigue (Zhou et al., 2020). Thus, the link between COVID-19 pandemic criticality and work fatigue may be mediated by occupational calling. Hence, drawing upon EST, this study investigated the mechanism of COVID-19 pandemic criticality on Chinese police officers’ work fatigue through occupational calling, within the boundary conditions of COVID-19 pandemic disruption and novelty. This contributes to elucidating the mechanism of how and when attributes of COVID-19 pandemic strength affect work fatigue, thus helping organizations meet frontline workers’ psychological needs and helping them reduce their work fatigue. The research model is illustrated in Fig. 1.
Fig. 1

The research model

The research model

Theory and Hypothesis Development

EST

EST considers that life and work events dynamically impact individuals’ psychological status and behaviors via the synergistic effect of event time, space, and strength (Morgeson et al., 2015). Specifically, a longer duration, wider range, and higher event strength increases the impact on individuals. The COVID-19 pandemic has proliferated worldwide and its strength varies. The different attributes of COVID-19 pandemic strength have influenced individuals’ psychological and behavioral responses (Liu et al., 2020). Among these attributes, criticality refers to the impact of an entity’s goals. Stronger criticality requires an entity to allocate more attention and resources to cope with the event. Disruption reflects changes in an entity’s normal coping strategies. Stronger disruption requires entities to adjust their psychological and behavioral patterns. Novelty is defined as how much the event varies from previous ones, with stronger novelty requiring a higher level of attention to change psychological and behavioral responses. EST has been widely used in the fields of organizational behavior (Chen et al., 2021; Morgeson & DeRue, 2006), health psychology (Zhou et al., 2020), and social psychology (Bacharach & Bamberger, 2007). As the critical, disruptive, and novel COVID-19 pandemic has significantly influenced police officers’ work and life, we believe that EST is appropriate for examining the mechanism of the three attributes of COVID-19 pandemic strength on police officers’ work fatigue. Furthermore, a study of Chinese civilians by Zheng (2020) demonstrated that the significance of COVID-19 pandemic criticality was more profound than its disruption and novelty. Hence, this study investigated the link between COVID-19 pandemic criticality and work fatigue through occupational calling and regarded disruption and novelty as situational variables.

Link Between COVID-19 Pandemic Criticality and Work Fatigue

Work fatigue is defined as “extreme tiredness and reduced functional capacity that is experienced during and at the end of the workday” (Frone & Tidwell, 2015, p. 274). It has a pervasive influence on human work and life and constitutes a major threat to health and well-being in the modern workplace. Among the U.S. workforce, 38% reported work fatigue (Ricci et al., 2007). The condition is even worse for police officers (Burki, 2020), with 46% reporting chronic fatigue in the U.S. (Fekedulegn et al., 2017), as they are the first responders to prolonged exposure to stressors in emergencies, terrorist attacks, natural disasters, and traumatic events (Vila, 2006). Such events directly affect individuals’ work status, which is especially true for the COVID-19 pandemic (Drew & Martin, 2020). According to Teng et al. (2020), among 2,614 Chinese frontline workers, 73.7% (including police officers) experienced work fatigue during the COVID-19 pandemic. The primary job of police officers is to maintain public order and fight crime; however, the COVID-19 pandemic has disrupted police officers’ goals, and pandemic prevention and control have taken priority in their daily work. In this context, police officers must undertake more responsibilities, actively mobilize resources, and allocate more attention to cope with the pandemic. According to statistics from the Ministry of Public Security in China (2020), nearly 120,000 police officers in Hubei province participated in COVID-19 pandemic prevention and control efforts, and over 40,000 police officers in Wuhan were on duty in hospitals and at the entrance and exit of cities for weeks. They subsequently experienced stress, anxiety, insomnia, and depression (Teng et al., 2020). Studies have confirmed that police officers’ work involves inherent physical and psychological dangers, and that the above-mentioned symptoms could result in higher work fatigue during the COVID-19 pandemic (Frone & Tidwell, 2015; Rose et al., 2017; Thorsteinsson et al., 2014). Hence, we hypothesized the following: Hypothesis 1: COVID-19 pandemic criticality is positively related to work fatigue.

Mediating Effect of Occupational Calling

Occupational calling refers to a strong sense of meaning and passion experienced by individuals in specific fields, on a continuum from weak to strong (Dobrow & Tosti-Kharas, 2011). Compared with other general occupations, police officers predominantly experience a stronger sense of occupational calling because of their occupational role and social responsibility (Bullough & Hall-Kenyon, 2011; Michaelson & Tosti-Kharas, 2019). This is bolstered when their country and people need them. Based on EST, the availability and completeness of event information depend on individuals’ spatial distance perceptions (Morgeson et al., 2015). Specifically, when an event is close to individuals, they will obtain more accurate and refined information, which further affects their perceptions. Police officers participated in pandemic prevention and control and were more likely to recognize the criticality of the pandemic. In this context, the pandemic criticality and citizens’ fear and anxiety could mentally reinforce police officers’ occupational oath, thus encouraging them to satisfy their country’s needs, and increasing their occupational calling (Zhang et al., 2015; Zhao & Zheng, 2013). Moreover, the higher the criticality and danger police officers perceive, the more their occupational calling is bolstered. This is especially true in the Chinese collective culture, as police officers’ jobs match the needs of the country and of broader society well (Deng & Chen, 2019). Therefore, we hypothesized the following: Hypothesis 2: COVID-19 pandemic criticality is positively related to occupational calling. Furthermore, research refers to occupational calling as a type of job-related resource (Creed et al., 2014; Lysova et al., 2019). Individuals with a stronger sense of occupational calling have more resources to cope with work demands, which improves their satisfaction, well-being (Duffy et al., 2014), and autonomous work motivations (Lee et al., 2018). Moreover, it reduces their work fatigue and job burnout (Wright & Cropanzano, 2000; Dik & Duffy, 2009; Zhou et al., 2020). Contrastingly, individuals with a weak sense of occupational calling have fewer internal resources to cope with the stressors caused by a high workload (Duffy et al., 2012) and involuntary overtime (Beckers et al., 2008). This subsequently leads to resource loss and work fatigue (Burke, 1994; Clinton et al., 2017; Frone & Tidwell, 2015). This reasoning led us to expect a negative impact of occupational calling on work fatigue. Accordingly, based on our arguments regarding Hypotheses 1 and 2, we proposed the following: Hypothesis 3: Occupational calling mediates the link between COVID-19 pandemic criticality and work fatigue.

Joint Interactive Impact of COVID-19 Pandemic Disruption and Novelty

An event, as a situational factor, affects an individual’s life and work (Haney-Loehlein et al., 2015). EST proposes that the attributes of event strength can be recognized as both independent variables and situational variables (Morgeson et al., 2015). Scholars have revealed that the three attributes of COVID-19 pandemic strength have different influences on emotional exhaustion (Liu et al., 2020), role overload, and work fatigue (Zhou et al., 2020). Therefore, the COVID-19 pandemic disruption and novelty as macro contextual factors may jointly moderate the link between occupational calling and work fatigue, which should be further examined (Zhou et al., 2020). Thus, based on EST, we firstly propose that the link between COVID-19 pandemic criticality and occupational calling will be stronger under conditions of high COVID-19 pandemic disruption and novelty. Specifically, as police officers are the first responder of pandemic prevention and control, their job goals are disrupted severely. Thus, they will perceive a higher disruption and novelty of the pandemic than the public and experience a higher risk (Trope & Liberman, 2010). Under such circumstances, police officers may experience a greater sense of work meaning and value, a stronger motivation, and more prosocial behaviors to fight the pandemic (Zheng, 2020). Therefore, the relationship between COVID-19 pandemic criticality and occupational calling will be stronger. Conversely, under the condition of high (low) disruption and low (high) novelty, the external stimulus on police officers’ perception and behavior will be weaker than when the disruption and novelty are both high. Thus, their joint impact on the link between event criticality and occupational calling will be weaker. Moreover, when the pandemic disruption and novelty are both low, a weak situational stimulus (Cooper & Withey, 2009; Mischel, 1977) is less likely to arouse and change police officers’ psychological and behavioral patterns regarding the pandemic, even under the condition of high criticality. Therefore, we hypothesized the following: Hypothesis 4: COVID-19 pandemic disruption and novelty jointly moderate the positive link between COVID-19 pandemic criticality and occupational calling, such that higher disruption and novelty strengthen this link. Second, we propose that the negative link between occupational calling and work fatigue will be stronger under conditions of high COVID-19 pandemic disruption and low novelty. Specifically, when police officers experience higher disruption and lower novelty, they can strengthen their work meaning and social expectations, and focus on handling jobs based on previous experience, thereby enhancing their confidence, work passion, and vigor to fight the pandemic, and reducing their work fatigue (Deng & Chen, 2019; Frone & Tidwell, 2015; Zhou et al., 2020). Furthermore, a survey demonstrated that Chinese citizens perceived that COVID-19 pandemic disruption more profoundly impacted their life and work than novelty did (Zheng, 2020). Similarly, when the COVID-19 pandemic is minimally disruptive and highly novel, despite attracting more attention than previous emergencies, individuals’ lives and work, the social order, police officers’ job goals, and law enforcement activities are less disrupted. Therefore, under such conditions, the negative impact of occupational calling on work fatigue will be strengthened. Conversely, the joint interactive effect will be weaker than when pandemic disruption and novelty are high. Contrastingly, according to the strong situation hypothesis (Cooper & Withey, 2009; Mischel, 1977), when the COVID-19 pandemic is highly disruptive and novel, an extremely strong external stimulus will mask the positive impact of occupational calling on reducing work fatigue. Moreover, when pandemic disruption and novelty are lower, a weak situational stimulus is insufficient to strengthen the link between occupational calling and work fatigue. Thus, we hypothesized the following: Hypothesis 5: COVID-19 pandemic disruption and novelty jointly moderate the link between occupational calling and work fatigue, such that when disruption is high and novelty is low, the link is stronger. As argued in Hypotheses 3, 4, and 5, COVID-19 pandemic disruption and novelty may jointly moderate the first and second stages of the mediating effect. As pandemic disruption and novelty increase, the criticality of the pandemic will fuel occupational calling and reduce work fatigue under a strong external stimulus. That is, the mediating role of occupational calling between pandemic criticality and work fatigue will be stronger. Therefore, we hypothesized the following: Hypothesis 6: COVID-19 pandemic disruption and novelty have a joint moderating effect on the link between pandemic criticality and work fatigue through occupational calling, such that when disruption and novelty are high, the indirect link is stronger.

Methods

Participants and Procedure

A two-wave field design and cluster sampling method were used in this study. We collected data at two time points in a police training program (from October to December 2020) using a field confidential questionnaire to minimize potential common method deviation. Notably, all police officers in this training program were under closed management because of the isolation policy in China at the beginning of the COVID-19 pandemic. Before data collection, the participants were gathered at an auditorium before having a class and were told that the survey was unrelated to their performance appraisal and promotion. Additionally, in order to reduce the sample loss caused by questionnaire mismatches of two time points as much as possible, each police officer was required to write their unique police number on the questionnaire cover. And no one knew what the exact identity of their police number represented and this was confidential for others. When they consented to participate in the survey, we distributed the questionnaires. First, we collected demographic information, COVID-19 pandemic strength characteristics, and organizational support. At the second time point (one month later), occupational calling and work fatigue were measured using the same procedure as in time point 1. A total of 919 questionnaires were distributed and returned. Two researchers then checked and matched the data collected at times 1 and 2 according to the police numbers on the questionnaire cover. Sixty-two invalid questionnaires were excluded for remarkable consistency or missing data, and 857 questionnaires were finally obtained, thus yielding a valid response rate of 93.25%. Of the participants, 80.4% (689) were men and 19.6% (168) were women; 56.8% (487) were aged 30 years and below, 34.2% (293) were aged 31–40 years, and 9.0% (77) were 41 years and above. Regarding tenure, 36.9% (316) of the police officers had less than 1 year; 23.3% (200) had 2–5 years; 18.3% (157) had 6–10 years; and 21.5% (184) had 11 years or more.

Measures

All scales in this study were revised from existing scales. Each item was rated on a 5-point Likert scale, and Cronbach’s α is presented in Table 2. All the scales showed good reliability in this study.
Table 2

The statement, loading, and Cronbach’s α of all measures

VariablesItemsLoadingCRAVE
COVID-19 pandemic strength (α = 0.78)Factor 1: COVID-19 pandemic criticality (α = 0.78)0.880.810.60
1. The COVID-19 pandemic is of priority to me.
2. The COVID-19 pandemic is critical for the long-term success of me.0.49
3. The COVID-19 pandemic is an important event for me.0.89
Factor 2: COVID-19 pandemic novelty (α = 0.76)0.520.790.50
4. I had a clear, known way to respond to the COVID-19 pandemic. (R)
5. I had an understandable sequence of steps that can be followed in responding to the COVID-19 pandemic. (R)0.58
6. I can rely on established procedures and practices in responding to the COVID-19 pandemic. (R)0.84
7. I had rules, procedures, or guidelines to follow when the COVID-19 pandemic occurred. (R)0.83
Factor 3: COVID-19 pandemic disruption (α = 0.79)0.560.760.53
8. The COVID-19 pandemic causes me to stop and think about how to respond.
9. The COVID-19 pandemic alters my normal way of responding.0.82
10. The COVID-19 pandemic requires me to change the way it does my work.0.77
Occupational calling (α = 0.84)1. I have a calling to be a police officer.0.910.840.73
2. I have a good understanding of my calling as it applies to my career.0.79
Work fatigue (α = 0.94)After the COVID-19 pandemic breakout, how often did you:0.810.860.67
Factor 1: Physical fatigue (α = 0.86)
1. Feel physically exhausted at the end of the workday?
2. Feel physically worn out at the end of the workday?0.70
3. Feel physically drained at the end of the workday?0.95
Factor 2: Mental fatigue (α = 0.89)0.890.890.73
4. Feel mentally exhausted at the end of the workday?
5. Feel mentally worn out at the end of the workday?0.77
6. Feel mentally drained at the end of the workday?0.90
Factor 3: Emotional fatigue (α = 0.88)0.780.880.71
7. Have difficulty showing and dealing with emotions at the end of the workday?
8. Feel emotionally worn out at the end of the workday?0.84
9. Feel emotionally drained at the end of the workday?0.91
Organizational support (α = 0.88)1. The organization really cares about my well-being.0.790.880.70
2. The organization shows very little concern for me. (R)0.86
3. The organization cares about my opinions.0.86

COVID-19 Pandemic Strength

The COVID-19 pandemic strength scale was revised from the event strength scale (Morgeson & DeRue, 2006) which was translated into Chinese by Liu and Liu (2017). This scale includes 11 items with three dimensions (criticality, disruption, and novelty) and has been widely used in the Chinese context and demonstrates good reliability (Liu et al., 2021; Zheng, 2020). In this study, all items are presented in Table 2 and rated on a 5-point Likert scale (1 = strongly disagree, 5 = strongly agree). Notably, the item, “The COVID-19 pandemic disrupts my ability to get my work done” in the dimension of disruption was deleted in this study for two reasons. First, the factor loading of it was 0.44 (far less than 0.50). We thus interviewed 4 professors who majored in organizational behavior and psychology and 11 police officers who had participated in pandemic prevention and control. They all agreed that although the COVID-19 pandemic disrupted police officers’ normal work course, their ability to complete their work remained relatively stable, and was not seriously influenced by the pandemic disruption. Hence, they suggested that we delete this item and re-analyze it. Second, in the context of Chinese collectivist culture, police officers were the first responders to pandemic prevention and control. Therefore, they had to complete law enforcement activities and participate in other non-policing activities during the pandemic, which actually may improve their ability to complete their work.

Occupational Calling

We used the 2-item brief calling presence scale developed by Dik et al. (2012), with a Cronbach’s α of 0.79. Zhu et al. (2021) and Yang and Chen (2020) used the same items to measure Chinese nurses’ occupational calling at the beginning of the COVID-19 pandemic, and the Cronbach’s α in their studies was 0.90 and 0.89, respectively. This indicates good reliability for the Chinese population. In this study, we substituted “be a police officer” for “a particular kind of work” in the first item.

Work Fatigue

In this study, we adopted three items from each dimension with a higher factor loading from an 18-item work fatigue scale developed by Frone and Tidwell (2015). The three dimensions were physical, mental, and emotional fatigue, with six items in each dimension. A previous study showed good reliability and validity for police officers in China (Zhou et al., 2020).

Organizational Support

The three highest-loading items of a perceived organizational support scale by Eisenberger et al., (1986) were used. This scale has been widely used in the Chinese context and has been adapted to the Chinese population (Qiu et al., 2020; Teng et al., 2020; Zhou et al., 2020).

Control Variables

According to various studies, demographic variables (Rose et al., 2017) and organizational support (Qiu et al., 2020; Teng et al., 2020) can affect work fatigue. Thus, sex (female = 0, male = 1), age, police tenure, and organizational support were controlled in this study.

Data Analysis

In this study, SPSS 25.0 was utilized for descriptive statistics analysis. Model 72 in the bootstrap inspection of the PROCESS macro V2.13.2 (Hayes, 2013) was utilized to test a jointly moderated mediating model. In this model, two moderators (W = COVID-19 pandemic disruption; Z = COVID-19 pandemic novelty) synergistically moderated the first and second paths of the mediating effect simultaneously. Moreover, Amos 24.0 was utilized to conduct CFA.

Results

Preliminary Analysis

Common Method Deviation and Discriminant Validity Tests

This study collected self-reported data; hence, we used partial correlation analysis to test for common method deviation (Podsakoff et al., 2003). The partial correlation analysis results (see Table 1) showed that organizational support was significantly and positively correlated with COVID-19 pandemic criticality, novelty, and occupational calling; however, it was negatively correlated with work fatigue. The coefficients ranged from -0.23 to 0.31. After controlling for organizational support, the partial correlations between the other variables were significant. The partial coefficients ranged from -0.17 to 0.40. Therefore, this research had some common method deviation, but it was not serious.
Table 1

Means, standard deviations and correlation coefficients of variables

VariablesMSD12345
1. COVID-19 pandemic criticality4.130.710.77
2. COVID-19 pandemic disruption3.670.700.24*** (0.24***)0.73
3. COVID-19 pandemic novelty3.810.760.45*** (0.40***)0.13*** (0.12***)0.71
4. Occupational calling3.681.000.21*** (0.13***)0.09*** (0.09**)0.33*** (0.28***)0.85
5. Work fatigue3.290.880.04 (0.11**)0.10** (0.11***)-0.15** (-0.09**)-0.22*** (-0.17***)0.84
6. Organizational support3.490.960.29***0.030.26***0.31***-0.23***

* p < 0.05, ** p < 0.01, *** p < 0.001. The partial correlation coefficients are represented in parentheses. The AVE square root value is presented in the diagonal bold value

Means, standard deviations and correlation coefficients of variables * p < 0.05, ** p < 0.01, *** p < 0.001. The partial correlation coefficients are represented in parentheses. The AVE square root value is presented in the diagonal bold value Furthermore, as shown in Table 2, the CR and AVE values for occupational calling, COVID-19 pandemic criticality, COVID-19 pandemic disruption, COVID-19 pandemic novelty, organizational support, and three dimensions of work fatigue fit the standard (CR ≥ 0.7, AVE ≥ 0.5). Moreover, according to Fornell and Larcker (1981), if the square root value of AVE is greater than the correlation coefficients between this variable and all others, the discriminant validity fits the standard. As shown in bold in Table 1, the AVE square root value of each variable fit this standard. Additionally, CFA revealed that the research model fit was acceptable (χ2/df = 5.43, RMSEA = 0.07, GFI = 0.90, CFI = 0.92) and better than that of other alternative models. All these indices indicated that the discriminant validity of all the variables was acceptable. The statement, loading, and Cronbach’s α of all measures

Descriptive Statistics Analysis

Table 1 shows the means, standard deviations, and correlation coefficients for all variables. The results indicated that COVID-19 pandemic criticality was significantly and positively correlated with disruption, novelty, and occupational calling, but non-significantly correlated with work fatigue. The coefficients ranged from -0.22 to 0.45.

Hypothesis Testing

All variables in the regression analysis were standardized. A roadmap of the model is shown in Fig. 2. As shown in Models 1 and 2 of Table 3, COVID-19 pandemic criticality had a significant and positive effect on work fatigue (β = 0.12, p < 0.01) and occupational calling (β = 0.12, p < 0.01), thereby supporting Hypotheses 1 and 2. Moreover, COVID-19 pandemic criticality significantly and positively influenced work fatigue (β = 0.14, p < 0.001), and occupational calling significantly and negatively influenced work fatigue (β = -0.19, p < 0.001) after adding occupational calling as a mediator (see Model 3 in Table 3). This indicates that occupational calling mediated the link between COVID-19 pandemic criticality and work fatigue, thus supporting Hypothesis 3.
Fig. 2

The roadmap of the effect of COVID-19 pandemic criticality on work fatigue

Table 3

Hierarchical linear regression results of the jointly moderated mediating effect

VariablesWork fatigueOccupational callingWork fatigueOccupational callingWork fatigue
Model 1Model 2Model 3Model 4Model 5
Sex0.320.10**0.050.08*0.03
Age0.10-0.12*-0.01-0.15**0.01
Police tenure0.04-0.10*0.02-0.01-0.02
Organizational support-0.27***0.32***-0.21***0.27***-0.20***
COVID-19 pandemic criticality0.12**0.12**0.14***0.030.18***
Occupational calling-0.19***-0.18***
COVID-19 pandemic disruption0.010.07*
COVID-19 pandemic novelty0.20***-0.15***
COVID-19 pandemic criticality × disruption0.04
COVID-19 pandemic criticality × novelty0.09*
Occupational calling × COVID-19 pandemic disruption-0.04
Occupational calling × COVID-19 pandemic novelty-0.02
COVID-19 pandemic disruption × novelty-0.020.11**
COVID-19 pandemic criticality × disruption × novelty0.10*
Occupational calling × COVID-19 pandemic disruption × novelty0.08*
R0.260.400.310.460.37
R20.070.160.100.210.13
F12.34***32.21***15.46***20.27***10.83***

* p < 0.05, ** p < 0.01, *** p < 0.001. Standardized regression coefficients are reported

The roadmap of the effect of COVID-19 pandemic criticality on work fatigue Hierarchical linear regression results of the jointly moderated mediating effect * p < 0.05, ** p < 0.01, *** p < 0.001. Standardized regression coefficients are reported Furthermore, Model 4 in Table 3 indicates that the synergistic interactive effect of COVID-19 pandemic criticality, disruption, and novelty on occupational calling was significant and positive (β = 0.10, p < 0.05). Figure 3 indicates that the positive relationship between COVID-19 pandemic criticality and occupational calling was stronger under the condition of high COVID-19 pandemic disruption and novelty (slopehigh-high = 0.26, p < 0.001) than under high disruption and low novelty (slopehigh-low = -0.10, p > 0.5), low disruption and novelty (slopelow-high = -0.02, p > 0.5), and low disruption and novelty (slopelow-low = -0.01, p > 0.5). Thus, Hypothesis 4 was supported. The significance of the simple slope difference test is shown on the left of Table 4.
Fig. 3

Joint moderating effect of COVID-19 pandemic disruption and novelty on the link between COVID-19 pandemic criticality and occupational calling

Table 4

The significance test of slope difference

PathPair of slopesBtPathPair of slopesBt
COVID-19 pandemic criticality → occupational calling(1) vs (2)0.364.18***Occupational calling → work fatigue(1) vs (2)0.121.42
(1) vs (3)0.282.52*(1) vs (3)0.080.09
(1) vs (4)0.272.77**(1) vs (4)-0.12-1.30*
(2) vs (3)-0.09-0.77(2) vs (3)-0.04-0.41
(2) vs (4)-0.09-0.93(2) vs (4)-0.23-2.75**
(3) vs (4)-0.01-0.05(3) vs (4)-0.20-2.11*
Joint moderating effect of COVID-19 pandemic disruption and novelty on the link between COVID-19 pandemic criticality and occupational calling The significance test of slope difference Moreover, as shown in Model 5 of Table 3, the synergetic interactive effect of occupational calling, COVID-19 pandemic disruption, and novelty on work fatigue was significant and positive (β = 0.08, p < 0.05). Figure 4 illustrates that the negative relationship between occupational calling and work fatigue was stronger under the condition of high COVID-19 pandemic disruption and low novelty (slopehigh-low = -0.28, p < 0.001) than under high disruption and low novelty (slopelow-high = -0.24, p < 0.001), high disruption and high novelty (slopehigh-high = -0.16, p > 0.05), and under low disruption and low novelty (slopelow-low = -0.05, p > 0.5), supporting Hypothesis 5. The significance of the simple slope difference test is shown in the right part of Table 4.
Fig. 4

Joint moderating effect of COVID-19 pandemic disruption and novelty on the link between occupational calling and work fatigue

Joint moderating effect of COVID-19 pandemic disruption and novelty on the link between occupational calling and work fatigue Finally, as shown in Table 5, only when COVID-19 pandemic disruption and novelty were high, the 95% confidence interval of the mediating effect of occupational calling excluded zero (-0.082, -0.002). This indicates that the mediating effect was stronger under this condition, thus supporting Hypothesis 6.
Table 5

The bootstrap test of the jointly moderated mediating effect

ModelCOVID-19pandemic disruptionCOVID-19pandemic noveltyIndirect effect
BSE95%CI
COVID-19 pandemic criticality → occupational calling → work fatigueLowLow-0.0010.004[-0.008, 0.010]
LowHigh0.0030.017[-0.038, 0.033]
HighLow0.0220.024[-0.020, 0.075]
HighHigh-0.0360.021[-0.082, -0.002]
The bootstrap test of the jointly moderated mediating effect

Discussion

This study drew on EST to explore how COVID-19 pandemic strength attributes affect work fatigue among police officers in China. The results revealed that COVID-19 pandemic criticality positively influenced work fatigue through occupational calling. Moreover, COVID-19 pandemic disruption and novelty jointly moderated the first and second stages of the mediating effect. These findings make several theoretical and practical contributions to the literature.

Theoretical Implications

This study contributes to current research in three ways. First, our study is a practical application of EST to the COVID-19 pandemic global context. In addition, it increases our understanding of COVID-19 pandemic criticality and empirically accounts for the advantages and disadvantages of COVID-19 pandemic criticality among the police workforce based on EST. While the COVID-19 pandemic has garnered much attention, its attributes have been largely neglected in research (Caldas et al., 2021; Liu et al., 2020, 2021; Teng et al., 2020; Zhu et al., 2020). Our findings are consistent with some previous studies. Specifically, Zhu et al. (2021) found that the daily number of code blue events in the COVID-19 pandemic context was positively correlated with nurses’ daily occupational calling, and COVID-19 pandemic strength positively predicted perceived stress (Zhao et al., 2021), which resulted in job burnout (Yıldırım & Solmaz, 2020) and fatigue (Zhou et al., 2020). These findings enrich the empirical research base of EST and highlight the important influence of COVID-19 pandemic criticality on workplace outcomes among Chinese police officers. Second, we investigated how COVID-19 pandemic criticality results in 13 by revealing the buffering role of occupational calling, which expands the literature on occupational calling in a collectivist culture. Although pandemic strength is an important factor in work stress (Burki, 2020; Khadse et al., 2020; Teng et al., 2020; Zhu et al., 2020) and fatigue (Liu et al., 2020; Zhou et al., 2020), insight into the underlying process of this association was limited. This study is the first to show the buffering effect of occupational calling on the link between COVID-19 pandemic criticality and work fatigue. This partially supports the findings of Zhou et al. (2020), who revealed that the correlation between police officers’ occupational calling and work fatigue via role overload was U-shaped under the condition of high COVID-19 pandemic disruption. Thus, our study expands extant research on the COVID-19 pandemic and work fatigue, and positively responds to the call to investigate the antecedents of occupational calling in different contexts and occupations (Duffy et al., 2018; Lysova et al., 2018, 2019; Thompson & Bunderson, 2019). Third, this unique event-oriented research adds to a comprehensive understanding of the joint effect of the COVID-19 pandemic strength attributes on workplace outcomes among police officers. Furthermore, it provides an integrative framework that identifies not only why COVID-19 pandemic criticality negatively affects work fatigue but also when this process is stronger. It has been acknowledged that the COVID-19 pandemic has caused emotional exhaustion and work fatigue in frontline workers. However, research has typically focused on one dimension of the pandemic. This study positively responded to the work of event researchers (Zhou et al., 2020), by examining the synergistic interactive impact of COVID-19 pandemic disruption and novelty on the link between COVID-19 pandemic criticality and work fatigue through occupational calling. This demonstrated that the synergistic impact of COVID-19 pandemic strength attributes played an important role in shaping police officers’ occupational calling and work fatigue. Thus, we have revealed much about the joint impact of COVID-19 pandemic disruption and novelty. This provides a new and nuanced insight into the synergistic effect of the three attributes of COVID-19 pandemic strength on individuals’ life and work outcomes.

Practical Implications

First, governments should focus more on the negative effects of the COVID-19 pandemic on police officers’ work outcomes and provide social support from the organization and family. Currently, the pandemic is proliferating and becoming severe in some countries. In such situations, police officers are exposed to greater infection risk while on duty. Thus, more protective measures should be provided for these first responders. Leaders should appropriately mobilize work resources, assign tasks, and ensure adequate time off (Zhu et al., 2020). Furthermore, greater organizational and family support (Zhou et al., 2020), such as officer assistance programs, family relationship assistance (Stankovska et al., 2020; Teng et al., 2020), and psychological interventions could also help relieve fatigue. Moreover, the positive impact of COVID-19 pandemic criticality on promoting occupational calling should also be considered. Studies indicate that occupational calling as a job-related resource is U-shaped and linked to police officers’ work fatigue (Zhou et al., 2020). The dynamic and teachable characteristics of occupational calling (Dobrow, 2013; Duffy et al., 2014) also provide possibilities for training programs. Hence, police departments should be aware of the importance of promoting officers’ occupational calling through training and education programs. Notably, however, our findings showed that occupational calling significantly relieved work fatigue only when COVID-19 pandemic disruption and novelty were either high or low. Accordingly, managers should recognize the different levels of occupational calling among officers.

Limitations and Future Research

This study has several limitations. First, the data were self-reported; hence, common method deviation was inevitable (Podsakoff et al., 2003). Multi-source data should be encouraged for future research, for example, occupational calling was rated by leaders or colleagues. Although a version of the 2-item brief calling scale developed by Dik et al. (2012) had a high Cronbach’s α in previous studies of Chinese participants at the beginning of the COVID-19 pandemic, it has potential statistical issues. Therefore, more versions with multiple items or dimensions of the occupational calling scale should be confirmed in the Chinese context. Second, although the selected model reflects the best fit among those we tested, the chi-square value of 5.43 is still larger than the commonly applied standard of 5.00 or less. However, other fit indices for the model are acceptable (noting that some researchers no longer rely on chi-square, because it is highly susceptible to manipulation via the sample size (Schermelleh-Engel et al., 2003). Third, according to EST (Morgeson et al., 2015), the COVID-19 pandemic development is dynamic; thus, the COVID-19 pandemic time, space, and strength could also affect police officers’ work outcomes, respectively and jointly. However, our study only focused on the influence of pandemic strength attributes. Therefore, we suggest an explicit investigation of the link between pandemic time and space, as well as the synergetic interaction with strength attributes on the link between occupational calling and work fatigue. Finally, in this study, only the buffering role of occupational calling was examined. Future research should consider more potential mediators in the link between COVID-19 pandemic strength and work fatigue, such as job crafting (Vogt et al., 2016), which facilitates physical health and psychological well-being.

Conclusion

This study highlighted the important effect of COVID-19 pandemic strength on police officers’ workplace outcomes in the Chinese context, based on EST. It revealed that COVID-19 pandemic criticality positively affected work fatigue through occupational calling, and that the COVID-19 pandemic novelty and disruption had a joint moderating effect on this process. These results increase scholarly understanding of how and when pandemic criticality, novelty, and disruption impinge upon occupational calling and work fatigue. Furthermore, this study also provides suggestions for organizations, leaders, and families based on the findings. Finally, we hope that the study will provide new insights and implications for scholars and practitioners to tackle the challenges related to the pandemic.
  26 in total

1.  Perceiving a calling, living a calling, and job satisfaction: testing a moderated, multiple mediator model.

Authors:  Ryan D Duffy; Elizabeth M Bott; Blake A Allan; Carrie L Torrey; Bryan J Dik
Journal:  J Couns Psychol       Date:  2011-11-07

2.  Tackling the negative impact of COVID-19 on work engagement and taking charge: A multi-study investigation of frontline health workers.

Authors:  Dong Liu; Yang Chen; Nian Li
Journal:  J Appl Psychol       Date:  2021-02-18

3.  Work as a calling: A theoretical model.

Authors:  Ryan D Duffy; Bryan J Dik; Richard P Douglass; Jessica W England; Brandon L Velez
Journal:  J Couns Psychol       Date:  2018-07

4.  Construal-level theory of psychological distance.

Authors:  Yaacov Trope; Nira Liberman
Journal:  Psychol Rev       Date:  2010-04       Impact factor: 8.934

5.  Fatigue and on-duty injury among police officers: The BCOPS study.

Authors:  Desta Fekedulegn; Cecil M Burchfiel; Claudia C Ma; Michael E Andrew; Tara A Hartley; Luenda E Charles; Ja K Gu; John M Violanti
Journal:  J Safety Res       Date:  2016-12-08

6.  The meaning and measurement of work fatigue: Development and evaluation of the Three-Dimensional Work Fatigue Inventory (3D-WFI).

Authors:  Michael R Frone; Marie-Cecile O Tidwell
Journal:  J Occup Health Psychol       Date:  2015-01-19

7.  How critical activities within COVID-19 intensive care units increase nurses' daily occupational calling.

Authors:  Yue Zhu; Tingting Chen; Jie Wang; Mo Wang; Russell E Johnson; Yanghua Jin
Journal:  J Appl Psychol       Date:  2020-11-05

8.  Associations of fatigue to work-related stress, mental and physical health in an employed community sample.

Authors:  D M Rose; A Seidler; M Nübling; U Latza; E Brähler; E M Klein; J Wiltink; M Michal; S Nickels; P S Wild; J König; M Claus; S Letzel; M E Beutel
Journal:  BMC Psychiatry       Date:  2017-05-05       Impact factor: 3.630

9.  Mental Health Impact of COVID-19 on Police Personnel in India.

Authors:  Pawan Arun Khadse; Guru S Gowda; Sundarnag Ganjekar; Geetha Desai; Pratima Murthy
Journal:  Indian J Psychol Med       Date:  2020-11-06

10.  The Influence of the COVID-19 Event on Deviant Workplace Behavior Taking Tianjin, Beijing and Hebei as an Example.

Authors:  Yingyan Liu; Zaisheng Zhang; Heng Zhao
Journal:  Int J Environ Res Public Health       Date:  2020-12-23       Impact factor: 3.390

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