Journal of Management & Organization http://journals.cambridge.org/JMO Additional services for Journal of Management & Organization: Email alerts: Click here Subscriptions: Click here Commercial reprints: Click here Terms of use : Click here Unpacking the curvilinear relationship between negative affectivity, performance, and turnover intentions: The moderating effect of time-related work stress Dave Bouckenooghe, Usman Raja, Arif Nazir Butt, Muhammad Abbas and Sabahat Bilgrami Journal of Management & Organization / FirstView Article / August 2016, pp 1 19 DOI: 10.1017/jmo.2016.10, Published online: 29 July 2016 Link to this article: http://journals.cambridge.org/abstract_S1833367216000109 How to cite this article: Dave Bouckenooghe, Usman Raja, Arif Nazir Butt, Muhammad Abbas and Sabahat Bilgrami Unpacking the curvilinear relationship between negative affectivity, performance, and turnover intentions: The moderating effect of time-related work stress. Journal of Management & Organization, Available on CJO 2016 doi:10.1017/jmo.2016.10 Request Permissions : Click here Downloaded from http://journals.cambridge.org/JMO, IP address: 141.218.1.105 on 04 Aug 2016 Journal of Management & Organization, page 1 of 19 © 2016 Cambridge University Press and Australian and New Zealand Academy of Management doi:10.1017/jmo.2016.10 Unpacking the curvilinear relationship between negative affectivity, performance, and turnover intentions: The moderating effect of time-related work stress DAVE BOUCKENOOGHE,* USMAN RAJA,* ARIF NAZIR BUTT,** MUHAMMAD ABBAS§ AND SABAHAT BILGRAMI¶ Abstract This study explores the relationships of negative affectivity with two frequently studied outcome variables job performance and turnover intentions. Conventional wisdom holds that negative affectivity has a harmful impact on both job performance and intentions to leave; however, we propose a more nuanced perspective using empirical and theoretical arguments (e.g., self-regulation theory) to highlight the functional effects of negative affectivity. To test our hypotheses, we collected self-reported and supervisor-reported data from seven organizations in Pakistan. The findings based on data collected from 280 employees show that while negative affectivity is detrimental for job performance, this effect is mitigated as negative affectivity increases. It further shows that the linear negative main effect of negative affectivity on job performance is more pronounced when employees experience less time-related work stress. Finally, the curvilinear relationship between negative affectivity and turnover intentions is moderated by time-related work stress. The relationship has a U shape at high levels of time-related work stress, whereas at low levels it has an inverted U shape. A discussion of the limitations, future research, and implications for theory building and practice conclude the article. Keywords: negative affectivity, in-role job performance, turnover intentions, time-related work stress Received 31 August 2015. Accepted 4 May 2016 There has been heightened interest in recent years in the individual differences approach to thestudy of job performance (Barrick & Mount, 2005; Huang, Zabel, Ryan, & Palmer, 2014) and turnover intentions (Thoresen, Kaplan, Barsky, Warren, & deChermont, 2003). Whereas most of the research in this area was previously concentrated on simply establishing the presence of some identifiable predispositions towards high/low work performance and turnover intentions, researchers have recently begun to explore in more detail the particular personality traits that may underlie these dispositional tendencies. Individual differences in affective tendencies are promising traits to examine because the effort that an individual puts into work and their unique work attitudes will produce different affective reactions (Cropanzano, James, & Konovsky, 1993; * Faculty of Business, Brock University, St. Catharines, Ontario, Canada ** Suleman Dawood School of Business, Lahore University of Management Sciences, Lahore, Pakistan § FAST School of Management, National University of Computer and Emerging Sciences, Islamabad, Pakistan ¶ Mentors, Lahore, Pakistan Corresponding author: dbouckenooghe@brocku.ca JOURNAL OF MANAGEMENT & ORGANIZATION 1 Yang & Diefendorff, 2009). In particular, negative affectivity (commonly abbreviated to NA), or the dispositional tendency of an individual to experience a variety of negative emotions across time and situations (Watson, Clark, & Tellegen, 1988), has been considered as a focal individual difference variable when predicting job performance and turnover intentions (Thoresen et al., 2003; Kaplan, Bradley, Luchman, & Haynes, 2009; Johnson, Tolentino, Rodopman, & Cho, 2010). Using theoretical and empirical arguments, this manuscript challenges the conventional wisdom that NA only has a dysfunctional and linear effect (for an extensive discussion see Johnson et al., 2010) on in-role job performance, here defined as job activities that contribute to the organization's technical core and appear in one's job description (Borman & Motowidlo, 1997), and turnover intentions, here conceptualized as an employee's intention to leave the organization (Shore & Martin, 1989). First, drawing upon formal theories of self-regulation, including control theory (Carver & Scheier, 2011), we postulate that NA provides critical information about whether or not additional effort is needed to realize particular goals. Successful self-regulation requires careful information processing about self and the environment, particularly negative information (Wrosch, Scheier, Miller, Schulz, & Carver, 2003; da Motta Veiga & Turban, 2014). Failing to assess or choosing to ignore negative information may have serious costs as it may indicate a lack of motivation to deal with the potential threats of goal achievement (Aspinwall, 1998). Borrowing from self-regulation theory, it is advocated that while NA can undermine work behaviour and attitudes, it can also be instrumental in achieving goals and thus have a decreased negative influence in shaping work behaviour (i.e., in-role job performance) and attitudes (i.e., turnover intentions). It could be argued that the negative, traditional view of NA, combined with the beneficial effects of NA, could translate into nonlinear relationships with the focal variables. Second, apart from the theoretical argumentation that draws upon self-regulation, several studies have argued that the simple negative linear relationship between NA and performance and the positive linear relationship between NA and turnover intentions may be more complex (see da Motta Veiga & Turban, 2014). More specifically, several meta-analyses have challenged the traditional view of a simple linear straightforward association of NA with performance and turnover intentions (Thoresen et al., 2003; Kaplan et al., 2009). These studies have reported the existence of small-to-moderate correlations between NA and both outcome variables. These small-to-moderate correlations and the observation of a substantial degree of variance in these relationships that cannot solely be attributed to research design characteristics may indicate (1) the presence of curvilinear patterns (Connolly & Viswesvaran, 2000; Bowling, Hendricks, & Wagner, 2008), (2) the oversight of potentially important moderators explaining these relationships (Tett & Burnett, 2003; Chi & Yang, 2015), (3) or the presence of moderated curvilinear effects. Personality characteristics like NA often interact with the environment to produce complex patterns of behaviour (Tett & Burnett, 2003). The data for this study were collected in Pakistan, a country that is characterized by highly stressful work conditions due to limited resources and excessive work overload. More specifically, to increase the generalizability of the study's findings, data were gathered in two sectors that employ a large number of people in Pakistan: the healthcare and manufacturing/engineering sectors (OECD, 2013). There is intensified pressure on employees in both industries to perform consistently better, work longer hours, and do the same amount or even more work with a reduced staff (Caulfield, Chang, Dollard, & Elshaug, 2004; Dollard, 2006). These observations suggest that time-related stress is omnipresent in both sectors. By choosing employees who are at a high risk for stressful work conditions, we examine how employees with high NA, who already have scarce personal resources, behave under time pressures and constraints. In particular, we argue that time-related work stress is a key context variable that moderates the curvilinear relationship of NA with our outcome variables. More specifically, the effect of NA on job performance and turnover intentions is likely contingent upon the situational cues of time-related work stress – also Dave Bouckenooghe, Usman Raja, Arif Nazir Butt, Muhammad Abbas and Sabahat Bilgrami 2 JOURNAL OF MANAGEMENT & ORGANIZATION referred to as 'feelings of being under substantial time pressure' (Parker & Decotiis, 1983; Kinicki & Vecchio, 1994). This study attempts to make several contributions to scholarly research on NA. First, due to its inherent negative dysfunctional connotation, traditional research on NA has been oblivious to the fact that NA can also have functional effects. With this inquiry, we challenge the traditional linear perspective of NA and advocate that the negative effects of NA on work behaviour and attitudes may decrease as NA increases, suggesting the presence of a curvilinear relationship. Second, we extend the literature on NA and its relationships with job performance and turnover intentions by accounting for the role of time-related work stress and how this boundary situational cue moderates the expression of dispositional NA. LITERATURE REVIEW NA and its relationship with job performance and turnover intentions Work behaviours and attitudes largely reflect the manner in which an individual affectively responds to his or her work environment. In this study, we focus on the dispositional trait NA and challenge the traditional perspective that NA undermines job performance (Johnson et al., 2010) and fosters turnover intentions (Thoresen et al., 2003). Characterized by feelings of subjective distress and unpleasant engagement (Watson & Clark, 1984), meta-analysis demonstrated that this trait affect predicts work-related outcomes and reactions more strongly than any other dispositional characteristic (Thoresen et al., 2003). Many mechanisms have been proposed to explain the harmful impact of NA within this prevailing stream of research that highlights the dark side of NA (Johnson et al., 2010). Among these mechanisms are the role of self-doubt (Watson & Clark, 1984; Thatcher & Perrewe, 2002), the resource depleting effect of negatively valenced emotions such as distress and anxiety (Spector, 2003), the increased potential for interpersonal conflict with coworkers and supervisors (Spector & Jex, 1998; Chi & Yang, 2015), and the role of self-regulating behavioural inhibition system (Gray, 1970; Watson, Wiese, Vaidya, & Tellegen, 1999). Another observation of mainstream research is that the majority of studies is based on the premise that NA has a linear relationship with job-related behaviours and organizational outcomes (Hogan, 2005). In contrast, several meta-analyses have provided empirical evidence to question the linearity assumption between personality traits and job performance/turnover intentions (Tett, Jackson, Rothstein, & Reddon, 1999; Judge, Heller, & Mount, 2002; Kaplan et al., 2009). Despite this observation few scholars have speculated that the near zero-order correlations observed could be due to nonlinearity (Murphy, 1996). Building on these speculations, the remainder of this paper offers a theoretical argumentation and tests the nonlinear character of the relationships of NA with job performance and turnover intentions. The curvilinear relationship with job performance As previously highlighted, the predominant view in research is that NA is negatively related to performance (Johnson et al., 2010). Individuals with high NA may be less motivated to engage in tasks because they pessimistically believe that their efforts are unrelated to performance and rewards (Connor-Smith & Flachsbart, 2007). Moreover, the challenges they encounter at their jobs may further deplete their motivation to accomplish work-related goals (Hobfoll, 2002). By drawing from the principles of self-regulation theory, this study intends to cast a new light on the negative linear relationship between NA and performance (Carver & Scheier, 2011; The moderating effect of time-related work stress JOURNAL OF MANAGEMENT & ORGANIZATION 3 da Motta Veiga & Turban, 2014). More specifically, individuals with high NA who worry about their poor job performance and are cognizant of the potential problems they face at their jobs (Gray, 1987; Fortunato & Williams, 2002) are more motivated to take positive actions to reduce the potential harmful consequences of poor performance (Watson et al., 1999). A basic tenet of successful self-regulation involves protecting oneself from harm and, in order to achieve one's goals, modifying one's beliefs and actions to be in line with the demands of specific situations (Carver & Scheier, 2011). Self-regulatory tasks therefore encompass careful and veridical information processing about self and the environment (Wrosh et al., 2003; Carver & Scheier, 2011; da Motta Veiga & Turban, 2014). The behavioural inhibition system is a crucial self-regulation mechanism that suggests that people with high NA are more vigilant of their performance and will try to avoid the punishment that may accompany weak performance (Gray, 1987; George & Zhou, 2002). The increased vigilance that may be displayed by people with high NA is beneficial as they are faster at recognizing potentially worrisome or negative information than those with lower levels of NA (Watson & Clark, 1984; Forgas, 1998). Additionally, other studies have found that the strong negative moods that those with high NA experience enables them to perform better at tasks requiring systematic information processing (for reviews, see George & Brief, 1996; Schwarz & Bohner, 1996). Elevated levels of NA facilitate a more externally oriented and systematic thinking style (Fiedler, 2000), help to avoid judgemental traps (Forgas, 1998), and lead to more accurate judgements (Brief & Weiss, 2002). Therefore, as the level of NA increases, individuals may receive a signal that the situation is not good and that more effort is required, motivating them to invest more resources to avoid poor job performance (George & Zhou, 2002). This hypervigilance, used to detect potentially negative information and harmful consequences of poor performance (Watson et al., 1999), creates the momentum needed to exert more effort to perform better and thus avoid potentially negative consequences. In summary, there are two opposing mechanisms at work in shaping the relationship between NA and job performance. The first mechanism assumes that NA makes people pessimistic and makes them believe that it does not make sense to invest resources in accomplishing task-related goals. The second mechanism, based on the tenets of self-regulation theory, assumes that as NA increases, individuals become cognizant of the potential harmful consequences of poor performance (i.e., fear of job loss, poor performance appraisal, etc.) and that NA operates as a powerful motivator to avoid poor performance. Based on this interplay of opposing forces that shape the relationship between NA and work performance, we formulate the following hypothesis: Hypothesis 1a: There is a curvilinear relationship between NA and job performance such that the relationship is initially negative but becomes weaker at elevated levels of NA. The curvilinear relationship with turnover intentions Based on self-regulation theory (Carver & Scheier, 2011; da Motta Veiga & Turban, 2014), it is also assumed that the negative appraisal of work and organization would result in attitudes and intentions directed towards overcoming the negative impact of these situations (i.e., turnover intentions). Leaving a job or organization is one example of how the avoidance motivation inherent to behavioural inhibition system is manifested (Gray, 1987; Elliot & Thrash, 2002). However, the self-regulating system that is activated by NA ultimately results in the avoidance of potentially harmful events such as leaving a job or organization (Watson et al., 1999). When behavioural inhibition system is highly activated, it leads to a higher sensitivity to novel events because of their uncertain and risky character (Carver, 2006). More specifically, when the option of leaving a job or an organization is considered, the careful information processing capacity of people with high NA will allow them to be more sensitive to the uncertainty and risks associated with leaving a job and highlight the benefits of Dave Bouckenooghe, Usman Raja, Arif Nazir Butt, Muhammad Abbas and Sabahat Bilgrami 4 JOURNAL OF MANAGEMENT & ORGANIZATION predictability, stability, and security that are inherent to staying at a job. As such, this study extends the traditional linear view between NA and turnover intentions by pointing out that beyond a certain level of NA, people become cognizant of the potential risks of turnover and this new awareness may override the previously harmful consequences of staying at the job. On the basis of the above, we formulate the following hypothesis: Hypothesis 1b: There is a curvilinear relationship between NA and turnover intentions such that the relationship is initially positive but becomes weaker at elevated levels of NA. Time-related work stress as a boundary condition Time-related work stress or the pressure that results from insufficient time to complete job-related tasks is an undesirable work-related stressor that may have damaging effects on performance and turnover intentions (Kinicki & Vecchio, 1994; Höge, 2009). Time-related work stress is endemic in today's fast-paced organizational environments and is often manifested by complaints about role overload (Rubino, Perry, Milam, Spitzmueller, & Zapf, 2012). When role demands create the perception that there is insufficient time to complete the tasks at hand, individuals will experience stress that may hurt their job performance and lower positive job attitudes (Gilboa, Shirom, Fried, & Cooper, 2008; Höge, 2009). So far, we have argued that curvilinear relationships exist between NA and job performance (Hypothesis 1a) and between NA and turnover intentions (Hypothesis 1b). Similar to linear main effects, curvilinear main effects may have boundary conditions (e.g., Janssen, 2001). In this study, we argue that time-related stress is an important moderator of these curvilinear relationships. The assumption was that people with high NA are more cognizant of the harmful consequences that accompany poor performance and turnover intentions and, through a process of self-regulation, are more motivated to take positive actions to reduce these potentially harmful consequences (George & Zhou, 2002; Carver & Scheier, 2011). However, this positive influence is only effective when there is access to sufficient cognitive resources (Hobfoll, 2002). Self-regulation literature claims that sustaining high levels of performance and positive attitudes over time requires high levels of self-regulation resources even for the most capable individuals (Bandura, 1997). Beyond a certain point, people with high NA are hypothesized to perform better and are less likely to leave the company; however, when external pressures may interfere with self-regulation of job performance and turnover intentions (Carver & Scheier, 2011). When people with high NA only experience limited time-related work stress, they are still able to allocate efficiently their scarce resources to task-related goals and thus perform better on the job (Watson et al., 1999; George & Zhou, 2002). Research has also shown that people with high NA are more responsive to negative mood induction than those with low NA who are less responsive to positive mood induction (Larsen & Ketelaar, 1991). Consequently, employees with high NA will react more strongly to negative appraisals of their jobs as invoked by stressful work conditions. This vulnerability to stress interferes with their self-regulation of resources aimed at enhancing performance (Lazarus & Folkman, 1984; Hobfoll, 2002). For example, when employees under normal circumstances experience role overload, it already stretches their attention, effort, and drains the resources needed to cope effectively with time-related performance demands (Hobfoll, 2002; Zohar, Tzischinski, & Epstein, 2003). In the case of employees with high NA, the resources to perform well on the job are already scarce, even under nonstressful work conditions (Watson & Clark, 1984). Therefore, when NAs suffer from time-related stress, their self-regulation resources are depleted, subsequently attenuating their motivation to perform well. These observations suggest that time-related work stress operates as a boundary condition for the hypothesized curvilinear relationship between NA and in-role The moderating effect of time-related work stress JOURNAL OF MANAGEMENT & ORGANIZATION 5 job performance. More specifically, the curvilinear effect will be less strong when experienced time-related stress is high. Accordingly, we hypothesize as follows: Hypothesis 2a: The curvilinear relationship between NA and job performance is moderated by timerelated work stress such that the relationship will be stronger when time-related work stress is low. Further, time-related work stress will impact the relationship between NA and turnover intentions. In particular, we argue that the curvilinear relationship between NA and turnover intentions – that is, the relationship is positive at initial levels of NA but weakens at elevated levels – will be more pronounced when employees are under limited time-related pressures. Individuals with high NA are more focussed and motivated to perform better under normal stress-free conditions (da Motta Veiga & Turban, 2014). Thus, rather than exhibiting withdrawal behaviour, employees with high NA will stay at their jobs and will be motivated to demonstrate that they can be good performers. It is unlikely they will engage in typical avoidance behaviour because they realize that the cost of leaving their jobs may outweigh the cost of staying at their jobs (Carver & Scheier, 2011). However, when employees with high NA are exposed to increased stress or pressures, they begin to rely on avoidance strategies (Lazarus & Folkman, 1984; Elliot & Thrash 2002; Carver & Scheier, 2011). Employees with high NA who experience time-related work stress are less likely to focus on the benefits of staying at their jobs because the stress puts the job and organization in a more negative light, reinforcing the negative feelings of unpleasantness that characterizes staying at their jobs. Accordingly, we formulate the following hypothesis: Hypothesis 2b and 2c: The curvilinear relationship between NA and turnover intentions is moderated by time-related work stress such that the relationship will be stronger when time-related work stress is low. METHOD Data collection and sample Perceptions of time-related work stress can vary considerably across organizations. To capture maximum variance in perceived time-related stress, we collected data from several organizations. We collected data in two types of industries in order to balance the need for variability and access to research sites. Despite surface differences in work environments, the healthcare and manufacturing/ engineering sectors were chosen because they are presumed to be stressful workplaces in Pakistan. Globalization, technological revolution, and changing demographics have caused increased demands on employees in these specific industries to perform better with less available resources (Caulfield et al., 2004; Dollard, 2006). All these factors have been previously identified as contributing to the creation of a stressful work environment (Dollard & Walsh, 1999). Although we collected data from employees in high-risk occupations in two very different sectors, these differences in work context contribute to the heterogeneity of our data and increase our confidence in the generalizability of our findings. We collected data via a field survey that was distributed by one of the coauthors on-site to employees working in the departments or regional offices of seven organizations in Lahore, the second largest city in Pakistan. The organizations surveyed were four medium–to-large-sized public hospitals, a paper and packaging manufacturing plant, a consumer electronics manufacturing plant, and a project engineering firm. Organizations were identified and invited to participate through the personal and professional networks of the author(s). Before collecting data, ethics clearance was received from both a university and on-site ethics committees from the participating hospitals. At the four hospitals, we collected data from nursing staff in the cardiac care units, and the gynaecology, general medical, and surgical wards. Dave Bouckenooghe, Usman Raja, Arif Nazir Butt, Muhammad Abbas and Sabahat Bilgrami 6 JOURNAL OF MANAGEMENT & ORGANIZATION In the private sector firms, we surveyed technicians and engineers working in the production and process departments of the paper and packaging plant and the consumer electronics manufacturing firm, and the engineering management department of the project engineering firm. All participating organizations in their respective sector were quite similar in terms of the size of the organization and the nature of the work. For example, all four hospitals were public sector nonprofit institutions. In comparison with public sector hospitals in more developed countries, the work context of public sector hospitals in Pakistan is highly stressful because of the scarce resources and high workload (Hamid, Malik, Kamran, & Ramzan, 2014). In addition to surveying public sector hospitals, we also targeted medium-sized companies from the manufacturing and engineering sectors because these sectors play an important role in the provision of employment in Pakistan (Ministry of Finance Pakistan, 2014). Due to the shiftwork nature of the work in these companies, employees experience highly stressful work conditions (Gerber, Hartmann, Brand, Holsboer-Trachsler, & Pushe, 2010). In summary, within these stressful work contexts, we are thus able to study how workers' dispositional tendency to evaluate situations in more or less negative terms may affect their performance and turnover intentions. Our key variables of NA, time-related work stress, and turnover intentions were measured using self-reported data whereas in-role job performance was rated by supervisors. Since data about performance, turnover intentions, time-related work stress, and NA are topics that may be subject to social desirability bias, we applied standard practices used by similar studies performed in Pakistan to mitigate potential concerns that participants may have about the consequences of participation or nonparticipation (e.g., Butt, Choi, & Jaeger, 2005; Raja & Johns, 2010; Abbas, Raja, Darr, & Bouckenooghe, 2014; Khan, Abbas, Gul, & Raja, 2015). Participants were sent a cover letter explaining the purpose of the study, assuring them of the strictest confidentiality, and mentioning that participation was voluntary. The letter also included contact information of the principal investigator in case participants had questions about the study or wanted to share their feedback. Additionally, respondents were given the opportunity to withdraw from the study at any point in time. Although social desirability bias cannot be ruled out entirely, it is believed that the practices that were adopted reduced the potential concern for social desirability. Furthermore, the cover letter instructed the respondents to complete the self-report forms and return them directly to the researcher. In terms of data collection, we requested that the immediate supervisor of each respondent rate their performance. Each supervisor had known his or her subordinate for more than 6 months and had done at least one performance appraisal for that subordinate. The supervisor rating form contained the name of the employee for whom it was being completed. Both the respondent and the supervisor did not have access to each other's responses. Supervisor responses were collected 2–4 weeks after the employees returned their responses. We matched the unique questionnaire numbers and employee names to pair employee and supervisor responses. A total of 450 surveys were randomly distributed to all potential participants in the seven organizations. Possible participants were selected by randomly choosing names from employee lists provided by the participating organizations' HR departments. We received 280 paired usable responses, resulting in an acceptable response rate of 62%. More specifically, we received 54 out of 90 (60% response rate) paired responses from the cardiac units, 49 out of 80 (61% response rate) from the gynaecology wards, 32 out of 50 (64% response rate) from the medical wards, and 30 out of 50 (60% response rate) from the surgical wards from the four participating hospitals. Similarly, we received 64 out of 100 usable responses from the paper and packaging manufacturing plant (64% response rate), 23 out of 40 (58% response rate) from the electronics firm, and 28 out of 40 (70% response rate) from the project engineering firm. The mean age of the respondents across all seven organizations was 31.42 years (SD = 5.19) and 59% of all respondents were female. Table 1 provides a breakdown of these demographic variables for The moderating effect of time-related work stress JOURNAL OF MANAGEMENT & ORGANIZATION 7 all seven organizations. A more detailed analysis indicates that the average age of the respondents is very similar across the seven organizations; however, within the four hospitals, the similarity is even more pronounced. The difference in the percentages of male–female respondents in hospitals versus private sector companies is also noteworthy1. Measures This questionnaire was administered in English as it is the official language of correspondence in all offices and the language of instruction at all high schools and universities in Pakistan. Previous studies in similar fields have also used English questionnaires in Pakistan (e.g., Butt, Choi, & Jaeger, 2005; Raja & Johns, 2010; Abbas et al., 2014; Khan et al., 2015; Naseer, Raja, Syed, Donia, & Darr, 2016). Measures of NA, time-related work stress, and turnover intentions were obtained through a self-reported questionnaire and the measure for job performance was obtained through a supervisor-reported questionnaire. Unless otherwise noted, a response scale anchored by 1 = 'strongly disagree,' to 5 = 'strongly agree' was used. We conducted confirmatory factor analysis including all four constructs (i.e., NA, time-related work stress, turnover intentions, and job performance) to ascertain the discriminant validity of these variables and common method variance bias (Podsakoff, MacKenzie, Lee, & Podsakoff, 2003). A model including all four factors yielded satisfactory fit (χ2 = 920.29, df = 344, p< .01; Root Mean Residual (RMR) = 0.07; Root Mean Square Error of Approximation (RMSEA) = 0.06; Confirmatory Fit Index (CFI) = 0.90; Incremental Fit Index (IFI) = 0.91). In addition, we followed the procedure recommended by Anderson and Gerbing (1988) and compared a two-factor versus a single-factor forced model for every possible pairing of these variables. In every case, the χ2 value of the free two-factor model was significantly lower than the constrained single-factor model, lending further support for discriminant validity of variables. In addition, to rule out the potential for common method variance bias, we ran a model using the common latent factor method to capture the common variance among the variables that were measured using the same source. We compared the standardized regression weights from this model with the standardized regression weights of a model TABLE 1. DEMOGRAPHIC CHARACTERISTICS BY ORGANIZATION Age Gender Organization M (SD) % Female % Male Hospital 1 (n = 54) 29.5 (5.5) 90.6 9.4 Hospital 2 (n = 49) 31.6 (10.9) 97.9 2.1 Hospital 3 (n = 32) 31.1 (6.7) 87.5 12.5 Hospital 4 (n = 30) 33.6 (7.3) 96.7 3.3 Paper and packaging manufacturing company (n = 64) 33.0 (7.9) 11.3 88.7 Electronics manufacturing company (n = 23) 37.0 (2.8) 0 100 Engineering firm (n = 28) 28.2 (5.0) 21.4 78.6 1 Univariate analysis of variances were conducted with the focal variables as dependent variables (negative affectivity, timerelated work stress, turnover intentions, and job performance) and gender and industry as fixed factors. No significant differences were found for either gender or industry regarding negative affectivity, time-related work stress, and turnover intentions. The only significant difference found was the effect of industry on job performance. In particular, job performance was rated lower in the project engineering company in comparison with the sample of hospitals. None of the interactions between gender and industry were significant. Dave Bouckenooghe, Usman Raja, Arif Nazir Butt, Muhammad Abbas and Sabahat Bilgrami 8 JOURNAL OF MANAGEMENT & ORGANIZATION without a common latent factor. There were no large differences (>0.200), implying that the effect of common method variance was limited. NA A 10-item scale was used to measure the trait of NA (Watson, Clark, & Tellegen, 1988). Respondents reported how they generally felt with regard to a list of ten negative emotions (e.g., hostile, nervous, and happy). Example items include the following: 'To what extent do you generally feel this way', that is, 'How you feel on average for each of the following: 'distressed', 'upset', 'hostile', etc'. Cronbach's α coefficient for NA was 0.82. Time-related work stress Parker and Decotiis (1983) distinguished between the time-related dimension of work stress and the anxiety dimension. Due to the conceptual overlap between items of the anxiety dimension with NA, we decided to focus only on the time-related work stress dimension. This dimension of stress was measured with the 8-item subscale developed by Parker and DeCotiis (1983). Example items include the following: 'I have too much work and too little time to do it in' and 'I feel like I never have a day off'. Cronbach's α coefficient for this scale was 0.75. Turnover intentions We measured turnover intentions using a 3-item subscale with a 7-point Likert type response anchor format (1 = 'completely disagree,' to 7 = 'completely agree') from the Michigan Organizational Assessment Questionnaire (Cammann, Fichman, Jenkins, & Klesh, 1979; Abbas et al., 2014). Example items are as follows: 'I will probably look for a new job next year' and 'I often think about quitting this job'. Cronbach's α coefficient for this scale was 0.79. Job performance A 7-item measure rated by supervisors was used to measure in-role job performance (Williams & Anderson, 1991). Example items include the following: 'meets formal performance requirement of the job'. Cronbach's α coefficient was satisfactory (α = 0.72). Control variables We controlled for respondents' age and gender. Furthermore, we created three dummy coded variables to control for the effects of organization. The paper and packaging manufacturing firm, the consumer electronics manufacturing company, and the engineering firm were compared against a reference group that included the four hospitals. The four hospitals were treated as one category because the respondents were very similar in terms of demographic characteristics (age and gender). In addition, the nurses of all four hospitals were employed in similar units (cardiac care units, and gynaecology, general medical, and surgical wards). RESULTS Data were collected from 280 employees across multiple departments; thus, the error terms are nonindependent, suggesting that hierarchical linear modelling would be an appropriate method of analysis. We conducted a number of analyses to check for the feasibility of hierarchical linear modelling. Our analyses showed that only 9.3% of the total variance explained in performance and 3.7% of the total variance explained in turnover intentions, respectively, could be attributed to group level effects, whereas 90.7 and 96.3% of the total variation could be accounted for by differences between individuals. We also found limited internal consistency in the individual performance and turnover The moderating effect of time-related work stress JOURNAL OF MANAGEMENT & ORGANIZATION 9 intentions at the department level as illustrated by ICC(2). The values were 0.03 (performance) and 0.26 (turnover intentions), respectively, which is much lower than the threshold of 0.70 suggested by Lebreton and Senter (2008). Based on these analyses, we decided not to conduct hierarchical linear modelling, and instead relied on polynomial regression analysis to test our hypotheses. Following Aiken and West (1991), all variables were standardized before running the regressions. Although multicollinearity did not appear to be an issue, we also calculated the correlations between the quadratic term of NA and our moderator variable of time-related stress (r = 0.09, ns) in order to ensure that the power of moderated regression was not undermined (Cortina, 1993). Following Janssen (2001), a multiple-step procedure was used to test for the curvilinear effects (Hypotheses 1a and 1b) and the moderator effects (Hypotheses 2a and 2b). In the first step, we entered the control variables for organization (dummy coded variables with 'hospitals' as a reference category), age and gender. Age and gender are basic demographic variables and have been considered in prior research on performance and turnover intentions (e.g., McEvoy & Cascio, 1989). In the second step, we added the main effect of NA and NA2 which allowed us to test the curvilinear relationship (Hypotheses 1a and 1b). To detect the moderator effect, 'time-related work stress' and the product term 'NA× time-related work stress' were, respectively, added in the third and fourth steps. In the final step, the quadratic–linear interaction term (NA2 × time-related work stress) was added to check whether or not the curvilinear effect of NA on performance and turnover intentions was moderated by time-related work-stress (Hypotheses 2a and 2b) (Table 2). As displayed in Table 3, consistent with Hypothesis 1a, NA showed a curvilinear effect with performance (β = 0.14, p< .05; see Model 2, Table 3). Based on Figure 1, performance was found to decrease rapidly for respondents with low-to-moderate levels of NA, whereas the negative effects were weaker beyond a certain level of high NA. The inflection point for NA was 0.84 (Z-value). This finding may signify a nonlinear relationship between NA and job performance, but may also reflect a rating bias such that supervisors are reluctant to provide especially low ratings of performance. Thus, there could be a floor effect where even though employees with especially high NA show poorer performance, supervisors do not distinguish between them when rating their performance. In order to rule out this possibility, we examined the distribution of the performance scores for all individuals who scored higher than the inflection point for NA. A closer analysis of the histogram showed that the data were normally distributed (Kolmogorov–Smirnov test for Hypothesis 0 was not rejected; p = .29). No support was found for Hypothesis 1b because no significant quadratic main effect was found for NA (see Model 2, Table 4). No support was found for Hypothesis 2a, yet we found a significant quadratic two-way interaction effect (NA2 × time-related work stress) (β = 0.29, p< .05; see Model 5, Table 3) on turnover TABLE 2. BIVARIATE CORRELATIONS AND DESCRIPTIVE STATISTICS Mean SD 1 2 3 4 5 6 1. Age 31.49 7.32 2. Gender (F = 0/M = 1) N/A N/A 0.19 3. Time-related work stress 2.75 0.64 − 0.14 − 0.16 (0.75) 4. Negative affectivity 1.90 0.74 − 0.16 − 0.06 0.36 (0.82) 5. Turnover intentions 2.53 0.89 − 0.18 − 0.08 0.30 0.16 (0.79) 6. Job performance 4.16 0.61 0.18 − 0.03 − 0.14 − 0.19 − 0.13 (0.72) Note. n = 280; α reliabilities in parentheses. All correlations above 0.10 are significant at p< .05. Dave Bouckenooghe, Usman Raja, Arif Nazir Butt, Muhammad Abbas and Sabahat Bilgrami 10 JOURNAL OF MANAGEMENT & ORGANIZATION intentions in support of Hypothesis 2b. The overall incremental variance explained by this model was significant (ΔR2 = 0.02, p< .05). To facilitate the interpretation of the quadratic–by-linear interaction effect, the interaction was graphed following procedures prescribed by Aiken and West (1991), in which turnover intentions for those with high (+1 SD) and low levels of time-related work stress (−1 SD) were graphed across high and low NA2. Figure 2 shows that the increasing effect of NA on turnover intentions is stronger at higher values of time-related work stress, whereas the declining effect of NA on turnover intentions is stronger at lower values of time-related work stress. Put differently, employees with high NA are less likely to leave the company when they are exposed to less time-related work stress, whereas they are more likely to leave the organization under high time-related work stress. TABLE 3. REGRESSION RESULTS FOR JOB PERFORMANCE Model 1 Model 2 Model 3 Model 4 Model 5 Organization 1 −0.13 − 0.16 −0.16 − 0.06 − 0.08 Organization 2 −0.18 − 0.45 −0.45 − 0.08 0.03 Organization 3 −0.63*** − 0.58** −0.58** − 0.46* − 0.46* Gender −0.09 − 0.11 −0.11 − 0.07 − 0.07 Age −0.02* 0.01* 0.01* 0.01* 0.01* Negative affectivity − 0.29*** −0.27*** − 0.31*** − 0.32*** Negative affectivity squared 0.14* 0.13* 0.19* 0.19* Stress −0.03 0.05 0.04 Negative affectivity× stress − 0.35*** − 0.35*** Negative affectivity squared× stress 0.03 R2 0.12*** 0.17*** 0.17*** 0.22*** 0.22*** R2 change 0.05** 0.00 0.05** 0.00 Note. n = 280; four organization dummy coded variables were used to control for its effects (organization 1 = paper and packaging manufacturing firm, organization 2 = electronics manufacturing firm, organization 3 = project engineering firm, reference category = four hospitals); for gender 0 = 'female' and 1 = 'male'. ***p< .001; **p< .01; *p< .05 (two-tailed tests). 3.5 3.6 3.7 3.8 3.9 4 4.1 4.2 4.3 4.4 4.5 Low Negative affectivity Jo b pe rf or am nc e High Negative affectivity FIGURE 1. CURVILINEAR RELATIONSHIP BETWEEN NEGATIVE AFFECTIVITY AND JOB PERFORMANCE 2 We used the macro created by Dawson and Richter (2006) to plot this quadratic two-way interaction effect. The moderating effect of time-related work stress JOURNAL OF MANAGEMENT & ORGANIZATION 11 Finally, in addition to our hypotheses, we checked whether or not the linear main effect part for the relationship between NA and job performance was moderated by the level of time-related work stress experienced by the participants (β = − 0.35, p< .001; see Model 4, Table 3). More specifically, the negative linear relationship between NA and job performance was reinforced when respondents also reported high levels of time-related work stress (see Figure 3). In addition, simple slope analysis showed that the negative linear main effect of NA on job performance was significant under the condition of high levels of stress (β = − 0.45, t = − 3.14; p< .01), but became nonsignificant under the condition of low levels of stress (β = − 0.12, t = − 1.56; ns). No significant linear interaction effect was found between NA and stress when the outcome variable was turnover intentions (see Model 4, Table 4). TABLE 4. REGRESSION RESULTS FOR TURNOVER INTENTIONS Model 1 Model 2 Model 3 Model 4 Model 5 Organization 1 0.27 0.29 0.41 0.34 0.26 Organization 2 −0.78 −0.66 − 0.41 − 0.64 − 0.27 Organization 3 0.51 0.48 0.44 0.36 0.36 Gender −0.17 −0.16 − 0.09 − 0.11 − 0.10 Age −0.02* −0.02* − 0.02* − 0.02* − 0.01* Negative affectivity 0.19 0.05 0.07 − 0.03 Negative affectivity squared 0.02 0.09 0.05 0.02 Stress 0.31** 0.26* 0.16 Negative affectivity× stress 0.21 0.16 Negative affectivity squared× stress 0.29* R2 0.04* 0.06* 0.11*** 0.12*** 0.14*** R2 change 0.02* 0.05** 0.01 0.02* Note. n = 280; four organization dummy coded variables were used to control its effects (organization 1 = paper and packaging manufacturing firm, organization 2 = electronics manufacturing firm, organization 3 = project engineering firm, reference category = four hospitals); for gender 0 = 'female' and 1 = 'male'. ***p< .001; **p< .01; *p< .05 (two-tailed tests). 2.5 2.7 2.9 3.1 3.3 3.5 3.7 3.9 Low Negative affectivity T ur no ve r in te nt io ns Low Stress High Stress High Negative affectivity FIGURE 2. MODERATING ROLE OF TIME-RELATED WORK STRESS IN THE CURVILINEAR RELATIONSHIP BETWEEN NEGATIVE AFFECTIVITY AND TURNOVER INTENTIONS Dave Bouckenooghe, Usman Raja, Arif Nazir Butt, Muhammad Abbas and Sabahat Bilgrami 12 JOURNAL OF MANAGEMENT & ORGANIZATION DISCUSSION Despite the mainstream perspective that NA has a dysfunctional effect on job outcomes, scholarly work remains ambiguous and sometimes counterintuitive about NA's effect (Ng & Sorensen, 2009). Recent meta-analyses reveal that a substantial amount of variance in the relationships between NA and job performance and turnover intentions cannot be attributed to research artefacts (Thoresen et al., 2003; Kaplan et al., 2009), thus indicating that the nature of these relationships requires further in-depth examination. In this study, we tested the curvilinear relationships between NA and job performance and turnover intentions among employees exposed to highly stressful work conditions. Also, we examined how these relationships are moderated by time-related work stress. Besides finding a strong significant linear negative relationship between NA and job performance, we observed a curvilinear relationship between NA and job performance in support of our hypothesis. As NA increased from low–to-moderately high levels, job performance showed a declining pattern. However, as NA continued to increase to higher levels, its harmful impact on job performance was less pronounced. In cases of elevated NA, people tend to be more receptive to negative information and are therefore able to use that information to improve performance, thereby avoiding the negative consequences of continued poor performance (Wrosh et al., 2003; da Motta Veiga & Turban, 2014). Although we did not find support for the curvilinear effect weakening at lower levels of time-related stress, we observed a moderating effect of time-related stress for the linear part of the relationship. More specifically, time-related work stress moderates the relationship between NA and job performance. Under conditions of low time-related work stress, the negative relationship between NA and performance was less strong. In support of selfregulation theory (Carver & Scheier, 2011), when employees with high NA experience less time urgency on the job in comparison with high time-related work stress, the former will perform better because they are better able to allocate their limited self-regulatory resources efficiently. Finally, the curvilinear relationship between NA and turnover intentions was moderated by timerelated work stress in support of our hypothesis. Under low time-related work stress, individuals with high NA were less likely to leave their organizations. Under high time-related work stress, individuals with high NA were more likely to leave the organization. Since employees with high NA have the predisposition to encode and recall negative information from their environment (Weiss & Cropanzano, 1996; Watson et al., 1999), these individuals, when exposed to time-related stress on the job, 3 3.2 3.4 3.6 3.8 4 4.2 4.4 Low Negative affectivity Jo b P er fo rm an ce Low Stress High Stress High Negative affectivity FIGURE 3. INTERACTION EFFECT OF TIME-RELATED WORK STRESS AND NEGATIVE AFFECTIVITY ON JOB PERFORMANCE The moderating effect of time-related work stress JOURNAL OF MANAGEMENT & ORGANIZATION 13 may try to avoid these negative situations by engaging in withdrawal behaviour (Elliot & Thrash 2002; Chiu & Francesco, 2003). The findings from this study have important implications for employees working in stressful workplaces. Management should invest resources in developing jobs and creating work contexts that allow for time-related demands to be altered, depending on an employee's dispositional NA. Extra attention should also be given to employees with high NA because they are the ones who are most vulnerable to time-related work stress. Therefore, limiting tasks and projects with strict deadlines increases the likelihood that employees with high NA will perform better than if they feel the constant pressure of working against deadlines. In contrast to employees with high NA, employees with low NA require extra stimulation in the form of assignments or tasks that have time-related demands. It is not enough to assume that employees that score low on NA tend to perform better; organizations should also create a context where their employees are exposed to some challenging demands in order to help them thrive in the work environment. Management should also consider investing in training programs specifically geared towards improving time management skills among employees with high NA in order to help employees cope effectively with time-related pressures. This study suggests that a one-size-fits-all management approach that seeks to create a work climate free of stress may be disadvantageous to companies because employees' responses to stress may vary depending on their dispositional NA level. At the same time, our findings also provide management with some new and interesting insights concerning how withdrawal behaviour tends to be more pronounced among employees with higher NA under conditions of high time-related work stress. Since they are likely not to be the best performers under stressful situations, exposing this group deliberately to additional stress may actually be beneficial to an organization, as it enables HR to have more control over functional turnover. However, from a legal and ethical perspective, this may not really be an option. Therefore, it makes more sense to help employees with high NA direct their resources to perform better. Not only is this alternative both legal and more ethical, but it is also beneficial to employees. In actuality, these positive experiences that accompany improved job performance help to break the negative experience cycle of high NA (Thatcher & Perrewe, 2002), and enables the improvement of self-esteem and confidence. Limitations and future research directions We acknowledge that our study has some limitations that can offer opportunities for further research. First, the relatively moderate sample size (n = 280) might be a weakness. The general preference in social sciences research is to draw conclusions from larger samples because of the associated higher statistical power. However, having a more modest sample size provides a more conservative statistical test of theoretical relationships; our finding of significant curvilinear effects and interaction effects corroborated the validity of our conceptual framework. Second, because of the potentially sensitive nature of data and informal social categorization system in a country like Pakistan, potential concerns could be raised with regards to social desirability response bias. However, we are convinced that by adopting standard procedures used in similar studies in Pakistan we have reduced these concerns (e.g., Butt, Choi, & Jaeger, 2005; Raja & Johns, 2010; Abbas et al., 2014; Khan et al., 2015). More specifically, participation was voluntary, and participants received a cover letter that assured them of the confidentiality of their responses. Furthermore, they were provided with the contact information of the research team to remove any potential concerns participants may have about participation in this study. Finally, all respondents were given the opportunity to withdraw from the study at any point in time. By relying on these standard procedures, we feel confident that social desirability did not play a significant role in this study. Dave Bouckenooghe, Usman Raja, Arif Nazir Butt, Muhammad Abbas and Sabahat Bilgrami 14 JOURNAL OF MANAGEMENT & ORGANIZATION Third, an acceptable response rate is essential for the validity of the findings (see Baruch & Holtom, 2008), but also equally important to evaluating findings is the nonresponse rate and how it may bias the study's findings. According to Dillman (1991), late respondents are similar to nonrespondents; therefore, late respondents can be used as a proxy of nonrespondents. Comparing the results of the group of early respondents with the group that only responded after being sent a follow-up reminder yielded no significant differences in responses, which we believe mitigates the potential for nonresponse bias. Fourth, because our study is cross-sectional by design, no inferences about causality can be drawn. For example, a reciprocal relationship may exist between NA and job performance or NA and turnover intentions. That is, when an employee's job performance is assessed by his/her supervisor, it may influence the employee's feeling of self-efficacy, and therefore inhibit or strengthen their perception of the trait-like characteristic of NA. Future directions of research around this topic should include an experimental research design or longitudinal component in order to address these causality issues. Furthermore, a longitudinal approach taken to this research stream would allow for the capturing of more data points throughout a timeframe and help to understand fluctuations in how a state-like characteristic such as experienced stress may influence the relationship between NA and in-role job performance/turnover intentions. Fifth, self-reported measures from time-related work stress, turnover intentions, and NA can inflate the observed relationships (Podsakoff et al., 2003). However, we believe that method bias or self-report bias was not a serious threat because method bias attenuates observed interactions and curvilinear relationships suggesting that a high occurrence of method bias would have reduced the possibility of detecting significant interactions or curvilinear relations in our data set. Put differently, common method bias is less salient when respondents cannot easily guess the effects, which is the case with more complex interaction and curvilinear effects (Simons & Peterson, 2000). Finally, we measured in-role job performance with evaluations from supervisors. Although this helped to reduce same source concerns in predicting performance, it also exposed our study to supervisor-rater bias. Prior research has shown that performance ratings may be subject to supervisorrater bias, so future studies could benefit from using objective performance measures whenever possible (Bommer, Johnson, Rich, Podsakoff, & MacKenzie, 1995). Despite the abovementioned limitations, this study also has significant strengths. The data for performance were not self-reported, which helped us to reduce the potential issues associated with common method bias (Podsakoff et al., 2003). The majority of studies in this domain of research have been conducted in developed countries in North America and Europe. Although this study is not a cross-cultural study, theories and concepts largely developed in the United States should be tested in non-Western settings; otherwise, researchers and practitioners will have little confidence in their generalizability in other regions (Tsui, Nifadkar, & Ou, 2007). This study provided us with an excellent opportunity to examine in Pakistan the applicability and validity of concepts that were largely established in Western developed countries. Data were collected in Pakistan, a country with a low per capita income, high level of poverty, and high unemployment rates (OECD, 2013). Furthermore, the situation of the country is complicated with frequent waves of violence and terrorism. Given these environmental conditions, the work environment is probably more stressful in comparison with the average work context of an employee in a Western developed country (Kausar & Anwar, 2010). Overall, the lack of facilities and resources of organizations in Pakistan creates a highly stressful work environment. Especially in view of the country's very high unemployment rates, employees are expected to cope with highly stressful situations in order to survive and thrive (Hamid et al., 2014). As a result of these extreme environmental work conditions, our findings may be somewhat more pronounced than if the study had been conducted in a Western context. The moderating effect of time-related work stress JOURNAL OF MANAGEMENT & ORGANIZATION 15 The fact that Pakistan is a collectivistic society (Hofstede, 1983) may also have yielded findings different from countries that adopt more individualistic values. In comparison with individualistic societies, employees with high NA in collectivistic societies may be less inclined to leave the company and focus their scarce selfregulating resources towards improving team performance instead of individual performance because they do not want to continuously disappoint their colleagues. Furthermore, with regards to perceived stress, it is likely that work stress is more pronounced in a culture with high power distance (e.g., Pakistan) as opposed to low power distance (e.g., United States). Despite seemingly overwhelming work demands, employees will continue to follow the norm by showing strong deference towards authority. In short, we believe that due to the specific nature of our data, future research would benefit from collecting cross-cultural data. To conclude, we hope that this study and our findings will stimulate further investigation of the boundary conditions under which NA relates to various work-related outcomes (e.g., counterproductive behaviours, citizenship behaviours, etc.) References Abbas, M., Raja, U., Darr, W., & Bouckenooghe, D. (2014). Combined effects of perceived politics and psychological capital on job satisfaction, turnover intentions, and performance. Journal of Management, 40, 1813–1830. doi:10.1177/0149206312455243 Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411–423. doi:10.1037//0033-2909.103.3.411 Aspinwall, L.G. (1998). Rethinking the role of positive affect in self-regulation. Motivation and Emotion, 22, 1–32. doi:10.1023/a:1023080224401 Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman. Barrick, R. M., & Mount, M. K. (2005). Yes, personality matters: Moving on to more important matters. Human Performance, 18, 359–372. doi:10.1207/s15327043hup1804_3 Baruch, Y., & Holtom, B. C. (2008). Survey response rate levels and trends in organizational research. Human Relations, 61, 1139–1160. doi:10.1177/0018726708094863 Bommer, W. H., Johnson, J. L., Rich, G. A., Podsakoff, P. M., & MacKenzie, S. B. (1995). On the interchangeability of objective and subjective measures of employee performance: A meta-analysis. Personnel Psychology, 48, 587–605. doi:10.1111/j.1744-6570.1995.tb01772.x Borman, W. C., & Motowidlo, S. J. (1997). Task performance and contextual performance: The meaning of personnel selection research. Human Performance, 10, 90–109. doi:10.1207/s15327043hup1002_3 Bowling, N. A., Hendricks, E. A., & Wagner, S. H. (2008). Positive and negative affectivity and facet satisfaction: A meta-analysis. Journal of Business and Psychology, 23, 115–125. doi:10.1007/s10869-008-9082-0 Brief, A. P., & Weiss, H. M. (2002). Organizational behavior: Affect in the workplace. Annual Review of Psychology, 53, 279–307. doi:10.1146/annurev.psych.53.100901.135156 Butt, A. N., Choi, J. N., & Jaeger, A. (2005). The effects of self-emotion, counterpart emotion, and counterpart behavior on negotiator behavior: A comparison of individual-level and dyad-level dynamics. Journal of Organizational Behavior, 26, 681–704. doi:10.1002/job.328 Cammann, C., Fichman, M., Jenkins, D., & Klesh, J. (1979). The Michigan organizational assessment questionnaire. Ann Arbor, MI: University of Michigan. Carver, C. S. (2006). Approach, avoidance, and the self-regulation of affect and action. Motivation and Emotion, 30, 105–110. doi:10.1007/s11031-006-9044-7 Carver, C. S., & Scheier, M. F. (2011). Self-regulation of action and affect. In K. D. Vohs & R. F. Baumeister (Eds.), Handbook of self-regulation: Research, Theory and Applications (pp. 3–21). New York, NY: The Guilford Press. Caulfield, N., Chang, D., Dollard, M. F., & Elshaug, C. (2004). A review of occupational stress interventions in Australia. International Journal of Stress Management, 11, 149–166. doi:10.1037/1072-5245.11.2.149 Chi, S.-C. S., & Yang, M.-Y. (2015). How does negative mood affect turnover intention? The interactive effect of selfmonitoring and conflict perception. European Journal of Work and Organizational Psychology, 24, 31–43. doi:10.1080/1359432X.2013.856299 Dave Bouckenooghe, Usman Raja, Arif Nazir Butt, Muhammad Abbas and Sabahat Bilgrami 16 JOURNAL OF MANAGEMENT & ORGANIZATION Chiu, R. K., & Francesco, A. M. (2003). Dispositional traits and turnover intention: Examining the mediating role of job satisfaction and affective commitment. International Journal of Manpower, 24, 284–298. doi:10.1108/01437720310479741 Connolly, J. J., & Viswesvaran, C. (2000). The role of affectivity in job satisfaction: A meta-analysis. Personality and Individual Differences, 29, 265–281. doi:10.1016/s0191-8869(99)00192-0 Connor-Smith, J. K., & Flachsbart, C. (2007). Relations between personality and coping: A meta-analysis. Journal of Personality and Social Psychology, 93, 1080–1107. doi:10.1037/0022-3514.93.6.1080 Cortina, J. M. (1993). Interaction, nonlinearity, and multicollinearity: Implications for multiple regression. Journal of Management, 19, 915–922. doi:10.1177/014920639301900411 Cropanzano, R., James, K., & Konovsky, M. A. (1993). Dispositional affectivity as a predictor of work attitudes and job performance. Journal of Organizational Behavior, 14, 595–606. doi:10.1002/job.4030140609 da Motta Veiga, S. P., & Turban, D. B. (2014). Are affect and perceived stress detrimental or beneficial to job seekers? The role of learning goal orientation in job search self-regulation. Organizational Behavior and Human Decision Processes, 125, 193–203. doi:10.1016/j.obhdp.2014.09.007 Dawson, J. F., & Richter, A. W. (2006). Probing three-way interactions in moderated multiple regression: Development and application of a slope difference test. Journal of Applied Psychology, 91, 917–926. doi:10.1037/00219010.91.4.917 Dillman, D. A. (1991). The design and administration of mail surveys. Annual Review of Sociology, 17, 225–249. doi:10.1146/annurev.so.17.080191.001301 Dollard, M. F. (2006). Throwaway workers. InPsych, 28, 8–12. doi:10.1021/es00057a721 Elliot, A. J., & Thrash, T. M. (2002). Approach-avoidance motivation in personality: Approach and avoidance temperaments and goals. Journal of Personality and Social Psychology, 82, 804–818. doi:10.1037//00223514.82.5.804 Fiedler, K. (2000). Towards an integrative account of affect and cognition phenomena. In J. P. Forgas (Ed.), Feeling and thinking: The role of affect in social cognition (pp. 223–252). New York, NY: Cambridge University Press. Forgas, J. P. (1998). On being happy and mistaken. Mood effects on the fundamental attribution error. Journal of Personality and Social Psychology, 75, 318–331. doi:10.1037//0022-3514.75.2.318 Fortunato, V. J., & Williams, K. J. (2002). The moderating effects of dispositional affectivity on performance and task attitudes in a goal-setting context. Journal of Applied Social Psychology, 32, 2321–2353. doi:10.1111/j.15591816.2002.tb01865.x George, J. M., & Brief, A. P. (1996). Negative affectivity and coping with job loss. Academy of Management Review, 21, 7–12. George, J. M., & Zhou, J. (2002). Understanding when bad moods foster creativity and good ones don't: The role of context and clarity of feelings. Journal of Applied Psychology, 87, 687–697. Gerber, M., Hartmann, T., Brand, S., Holsboer-Trachsler, E., & Pühse, U. (2010). The relationship between shift work, perceived stress, sleep and health in Swiss police officers. Journal of Criminal Justice, 38, 1167–1175. doi:10.1016/j.jcrimjus.2010.09.005 Gilboa, S., Shirom, A., Fried, Y., & Cooper, C. (2008). A meta-analysis of work demand stressors and job performance: Examining main and moderating effects. Personnel Psychology, 61, 227–272. doi:10.1111/j.1744-6570.2008. 00113.x Gray, J. A. (1970). The psychophysiological basis of introversion-extraversion. Behaviour Research and Therapy, 8, 249–266. doi:10.1016/0005-7967(70)90069-0 Gray, J. A. (1987). The psychology of fear and stress (2nd ed.), New York, NY: Cambridge University Press. Hamid, S., Malik, A. U., Kamran, I., & Ramzan, M. (2014). Job satisfaction among nurses working in the private and public sectors: A qualitative study in tertiary care hospitals in Pakistan. Journal of Multidisciplinary Healthcare, 7, 25–35. doi:10.2147/jmdh.s5507710.2147/jmdh.s55077 Hobfoll, S. E. (2002). Social and psychological resources and adaptation. Review of General Psychology, 6, 307–324. doi:10.1037/1089-2680.6.4.307 Hofstede, G. (1983). The cultural relativity of organizational practices and theories. Journal of International Business Studies, 14, 75–89. Hogan, R. (2005). In defense of personality measurement: New wine for old whiners. Human Performance, 18, 331–341. doi:10.1207/s15327043hup1804_1 The moderating effect of time-related work stress JOURNAL OF MANAGEMENT & ORGANIZATION 17 Höge, T. (2009). When work strain transcends psychological boundaries: An inquiry into the relationship between time pressure, irritation, work-family conflict and psychosomatic complaints. Stress and Health: Journal of the International Society for the Investigation of Stress, 25, 41–51. doi:10.1002/smi.1226 Huang, J. L., Ryan, A. M., Zabel, K. L., & Palmer, A. (2014). Personality and adaptive performance at work: A meta-analytic investigation. Journal of Applied Psychology, 99, 162–179. doi:10.1037/a0034285 Janssen, O. (2001). Fairness perceptions as a moderator in the curvilinear relationships between job demands, and job performance and job satisfaction. Academy of Management Journal, 44, 1039–1050. doi:10.2307/3069447 Johnson, R. E., Tolentino, A. L., Rodopman, O. B., & Cho, E. (2010). We (sometimes) know not how we feel: Predicting work behaviors with an implicit measure of trait affectivity. Personnel Psychology, 63, 197–219. doi:10.1111/j.1744-6570.2009.01166.x Judge, T. A., Heller, D., & Mount, M. K. (2002). Five-factor model of personality and job satisfaction: A meta-analysis. Journal of Applied Psychology, 87, 530–541. doi:10.1037/0021-9010.87.3.530 Kaplan, S., Bradley, J. C., Luchman, J. N., & Haynes, D. (2009). On the role of positive and negative affectivity in job performance: A meta-analytic investigation. Journal of Applied Psychology, 94, 162–176. doi:10.1037/ a0013115 Kausar, R., & Anwar, T. (2010). Perceived stress, stress appraisal and coping strategies used in relation to television coverage of terrorist incidents. Pakistan Journal of Social and Clinical Psychology, 8, 119–131. Khan, K., Abbas, M., Gul, A., & Raja, U. (2015). Organizational justice and job outcomes: Moderating role of Islamic work ethic. Journal of Business Ethics, 126, 235–246. Kinicki, A. J., & Vecchio, R. P. (1994). Influences on the quality of supervisor-subordinate relations: The role of time-pressure, organizational commitment, and locus of control. Journal of Organizational Behavior, 15, 75–82. doi:10.1002/job.4030150108 Larsen, R. J., & Ketelaar, T. (1991). Personality and susceptibility to positive and negative emotional states. Journal of Personality and Social Psychology, 61, 132–140. doi:10.1037//0022-3514.61.1.132 Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. New York, NY: Springer Publishing Company. Lebreton, J. M., & Senter, J. L. (2008). Answers to 20 questions about interrater reliability and interrater agreement. Organizational Research Methods, 11, 815–852. doi:10.1177/1094428106296642 McEvoy, G. M., & Cascio, W. F. (1989). Cumulative evidence of the relationship between employee age and job performance. Journal of Applied Psychology, 74, 11–17. doi:10.1037//0021-9010.74.1.11 Murphy, P. (1996). Chaos theory as a model for managing issues and crisis. Public Relations Review, 22, 95–113. doi:10.1016/s0363-8111(96)90001-6 Naseer, S., Raja, U., Syed, F., Donia, M., & Darr, W. (2016). Perils of being in-group of a bad leader: Exploring the combined effects of despotic leadership, leader member exchange, and perceived organizational politics on behaviors. The Leadership Quarterly, 27, 14–33. Ng, T. W., & Sorensen, K. L. (2009). Dispositional affectivity and work-related outcomes: A meta-analysis. Journal of Applied Social Psychology, 39, 1255–1287. doi:10.1111/j.1559-1816.2009.00481.x OECD (2013). OECD Factbook 2013: Economic, Environmental and Social Statistics. Paris Cedex: OECD Publishing. Parker, D. F., & DeCotiis, T. A. (1983). Organizational determinants of job stress. Organizational Behavior and Human Performance, 32, 160–177. doi:10.1016/0030-5073(83)90145-9 Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879–903. doi:10.1037/0021-9010.88.5.879 Raja, U., & Johns, G. (2010). The joint effects of personality and job scope on in-role performance, citizenship behaviors, and creativity. Human Relations, 63, 981–1005. doi:10.1177/0018726709349863 Rubino, C., Perry, S. J., Milam, A. C., Spitzmueller, C., & Zapf, D. (2012). Demand–control–person: Integrating the demand–control and conservation of resources models to test an expanded stressor-strain model. Journal of Occupational Health Psychology, 17, 456–472. doi:10.1037/a0029718 Schwarz, N., & Bohner, G. (1996). Feelings and their motivational implications: Moods and the action sequence. In J. A. Bargh & P. Gollwitzer (Eds.), The psychology of action: Linking thought and motivation to behavior (pp. 119–145). New York, NY: Guilford Press. Shore, L. M., & Martin, H. J. (1989). Job satisfaction and organizational commitment in relation to work performance and turnover intentions. Human Relations, 42, 625–638. doi:10.1177/001872678904200705 Dave Bouckenooghe, Usman Raja, Arif Nazir Butt, Muhammad Abbas and Sabahat Bilgrami 18 JOURNAL OF MANAGEMENT & ORGANIZATION Simons, T. L., & Peterson, R. S. (2000). Task conflict and relationship conflict in top management teams: The pivotal role of intragroup trust. Journal of Applied Psychology, 85, 102–111. doi:10.1037//0021-9010.85.1.102 Spector, P. E. (2003). Individual differences in health and well-being in organizations. In D. A. Hofmann & L. E. Tetrik (Eds.), Health and safety in organizations: A multilevel perspective (pp. 29–55). San Francisco, CA: Jossey-Bass. Spector, P. E., & Jex, S. M. (1998). Development of four self-report measures of job stressors and strain: Interpersonal conflict at work scale, organizational constraints scale, quantitative workload inventory, and physical symptoms inventory. Journal of Occupational Health Psychology, 3, 356–367. doi:10.1037//1076-8998.3.4.356 Tett, R. P., & Burnett, D. D. (2003). A personality trait-based interactionist model of job performance. Journal of Applied Psychology, 88, 500–517. doi:10.1037/0021-9010.88.3.500 Tett, R. P., Jackson, D. N., Rothstein, M., & Reddon, J. R. (1999). Meta-analysis of bidirectional relations in personality-job performance research. Human Performance, 12, 1–29. doi:10.1207/s15327043hup1201_1 Thatcher, J. B., & Perrewe, P. L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly, 26, 381–396. doi:10.2307/4132314 Thoresen, C. J., Kaplan, S. A., Barsky, A., Warren, C. R., & de Chermont, K. (2003). The affective underpinnings of job perceptions and attitudes: A meta-analytic review and integration. Psychological Bulletin, 129, 914–945. doi:10.1037/0033-2909.129.6.914 Tsui, A. S., Nifadkar, S., & Ou, A. Y. (2007). Cross-national, cross-cultural behavior: Advances, gaps and recommendations. Journal of Management, 33, 426–478. Walsh, C., & Dollard, M.F. (1999). Illusory correlation: Is work stress really worse in the public sector? Journal of Occupational Health and Safety, 15, 219–229. Watson, D., & Clark, L. A. (1984). Negative affectivity: The disposition to experience aversive emotional states. Psychological Bulletin, 96, 465–490. doi:10.1037//0033-2909.96.3.465 Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063–1070. doi:10.1037/00223514.54.6.1063 Watson, D., Wiese, D., Vaidya, J., & Tellegen, A. (1999). The two general activation systems of affect: Structural findings, evolutionary considerations, and psychobiological evidence. Journal of Personality and Social Psychology, 76, 820–838. doi:10.1037//0022-3514.76.5.820 Weiss, H. M., & Cropanzano, R. (1996). Affective events theory: A theoretical discussion of the structure, causes, and consequences of affective experiences at work. In B. M. Staw & L. L. Cummings (Eds.), Research in Organizational Behavior (pp. 1–74). Greenwich, CT: JAI Press. Williams, L. J., & Anderson, S. E. (1991). Job satisfaction and organizational commitment as predictors of organizational citizenship and in-role behaviors. Journal of Management, 17, 601–617. doi:10.1177/ 014920639101700305 Wrosch, C., Scheier, M. F., Miller, G. E., Schulz, R., & Carver, C. S. (2003). Adaptive self-regulation of unattainable goals: Goal disengagement, goal reengagement, and subjective well-being. Personality and Social Psychological Bulletin, 26, 1494–1508. Yang, J., & Diefendorff, J. (2009). The relations of daily counterproductive workplace behavior with emotions, situational antecedents, and personality moderators: A diary study in Hong Kong. Personnel Psychology, 62, 259–295. doi:10.1111/j.1744-6570.2009.01138.x Zohar, D., Tzischinski, O., & Epstein, R. (2003). Effects of energy availability on immediate and delayed emotional reactions to work events. Journal of Applied Psychology, 88, 1082–1093. doi:10.1037/0021-9010.88.6.1082 The moderating effect of time-related work stress JOURNAL OF MANAGEMENT & ORGANIZATION