Abstract
Knowledge sharing is essential for achieving sustainable competitive advantages for organizations. Yet, there is a paucity of studies examining how a supervisor’s behavior, particularly, abusive supervision may become a barrier of individuals’ knowledge sharing. Drawing on insights from social exchange theory, this study investigates the influence of abusive supervision on knowledge sharing, moderated by support from organization and coworker. Consistent with our hypotheses, abused employees do not share their knowledge, but the negative effect could be buffered when they perceive high organizational support. Implications and future research directions are discussed.
Keywords
In today’s highly competitive and dynamic environment, there is growing interest in how organizations should create and transfer knowledge to achieve organizational effectiveness (Nahapiet & Ghoshal, 1998; Nonaka & Takeuchi, 1995; Szulanski, 2000). According to the resource-based view (Barney, 1991), organizations must possess resources that are valuable, rare, and inimitable, to sustain their competitive advantages (Nahapiet & Ghoshal, 1998). As organizational knowledge has these characteristics, some authors regard it as a unique resource that helps organizations create sustainable competitive advantages (Kogut & Zander, 1992). According to Simon (1991), “all learnings take place only inside individual human heads.” He suggests that “an organization learns in only two ways, (a) by the learning of its members, or (b) by ingesting new members who have knowledge the organization didn’t previously have” (Simon, 1991, p. 125). Thus, it is important to promote knowledge sharing, which is defined as individual behaviors that involve sharing task-related ideas, information, and suggestions with others at workplace including coworkers and supervisors, as this is the fundamental means for accomplishing organizational effectiveness (Srivastava, Bartol, & Locke, 2006).
Knowledge sharing may not only affect individual or work group but also organization level as well (Wang & Noe, 2010). Previous studies have found positive effects of knowledge sharing on team performance and firm innovation (Mesmer-Magnus & DeChurch, 2009; Wang & Noe, 2010). Recognizing the importance of knowledge sharing, scholars, as well as practitioners, have given much attention to knowledge management, and invested significant resources in developing and improving such systems (A. Cabrera & Cabrera, 2002). However, the major barriers to implementing knowledge management systems are neither the systems themselves nor the technologies behind them, but rather individual employees in the organizations (E. F. Cabrera & Cabrera, 2005; A. Cabrera, Collins, & Salgado, 2006; Wang & Noe, 2010). In fact, knowledge hoarding is quite prevalent in the workplace, as knowledge could be a source of power and competitive advantage for each individual (A. Cabrera & Cabrera, 2002; French & Raven, 1959).
Although knowledge sharing is essential for achieving sustainable competitive advantages for organizations, it may actually be costly to individuals (A. Cabrera & Cabrera, 2002). It may not be rational for individuals to share their knowledge with others, as shared knowledge is available for everyone, including those who did not contribute to its development (A. Cabrera & Cabrera, 2002). Previous studies have noted that knowledge sharing is influenced by organizational, motivational, and individual factors (Wang & Noe, 2010). Specifically, researchers found that trust, justice, a cooperative organizational culture, and management support are positively related to knowledge sharing at the individual level (Wang & Noe, 2010). As individuals may share their knowledge given the presence of a strong motivator such as reciprocity (Chiu, Hsu, & Wang, 2006; Ipe, 2003), social exchange theory (Blau, 1964) could provide valuable insights for explaining the contexts under which individuals may decide either to engage in knowledge sharing behaviors or to withhold their knowledge (cf. Cropanzano & Mitchell, 2005).
As major partners of social exchange in the workplace, supervisors’ behaviors may significantly influence subordinates’ behaviors and, in particular, their discretionary behaviors (Zellars, Tepper, & Duffy, 2002). Compared with other discretionary behaviors, including organizational citizenship behavior (OCB), knowledge sharing is regarded as more risky and costly to engage in, as there is a chance that individuals may lose their competitive advantages or the power of their expertise by sharing knowledge with others (cf. A. Cabrera & Cabrera, 2002). Furthermore, the impact of knowledge sharing is much directly linked to organizational innovativeness and the retention of sustained competitive advantages compared with other discretionary behaviors, and for this reason, our study focuses on knowledge sharing behaviors. Due to the unique characteristics of knowledge sharing, supervisors may need to expend more efforts and invest more resources to foster employees’ knowledge sharing.
Although most leadership research has emphasized how constructive leaders behave, destructive leaders often abuse their subordinates (Aryee, Chen, Sun, & Debrah, 2007; Tepper, 2000, 2007; Tepper, Duffy, Henle, & Lambert, 2006; Tepper, Duffy, & Shaw, 2001; Zellars et al., 2002). Abusive supervision, defined as “subordinates’ perceptions of the extent to which their supervisors engage in the sustained display of hostile verbal and nonverbal behaviors, excluding physical contact” (Tepper, 2000, p. 178), is one of the most common types of destructive leadership. Recent epidemiological studies report that between 10% and 16% of working people claim that their supervisors regularly exhibit abusive behavior (Namie & Namie, 2000). According to Kelloway, Sivanathan, Francis, and Barling (2005), poor leadership is classified as either active or passive. While abusive supervision includes an active type of destructive leadership (ridiculing, yelling, and belittling subordinates), a laissez-faire style of supervision, or “the absence of leadership” (Bass & Avolio, 1990, p. 20), is a passive form of destructive leadership (Skogstad, Einarsen, Torsheim, Aasland, & Hetland, 2007). For example, the laissez-faire leader may be absent frequently, fail to be involved during critical moments, avoid making interventions or decisions, and fail to assume their responsibilities as a leader (Skogstad et al., 2007). This type of leadership can result in delayed decisions, the absence of feedback and rewards to subordinates, and no attempts being made to motivate followers or meet their needs (Avolio & Bass, 2002; Skogstad et al., 2007). Although both these types of leader behaviors bring harmful results, such as low satisfaction and poor employee performance, the consequences of abusive supervision are much more severe than those of laissez-faire supervision (Schyns & Schilling, 2013). Previous studies have found that abusive supervision correlates negatively with subordinates’ job and life satisfaction, task performance, and OCB (Aryee, Sun, Chen, & Debrah, 2008; Harris, Kacmar, & Zivnuska, 2007; Tepper, 2000; Zellars et al., 2002). In this study, we examine abusive supervision as a barrier to knowledge sharing, both because of this close relationship with discretionary behaviors and the destructive outcomes that occur when employees perceive they are receiving abusive treatment from their supervisors.
Furthermore, we suggest that providing support from different sources can serve as a buffer for reducing the negative effects of abusive supervision on knowledge sharing. The organization, the supervisor, and one’s coworkers are three major partners or sources of social influence in a workplace; it is meaningful to investigate how support from these different sources may interact with and influence individuals’ discretionary behaviors, such as knowledge sharing (Chiaburu, Lorinkova, & Van Dyne, 2013; Ng & Sorensen, 2008). According to the multifoci approach, individuals have distinct perceptions about key actors within their organization, and behave differently in response to these perceptions (Lavelle, Rupp, & Brockner, 2007). Moreover, although individuals are receiving negative treatments from their abusive supervisors, they may perceive that they are getting support from their organization or their coworkers, and this support may offset the negative effects of abusive supervision on their knowledge sharing, based on a cross-domain buffering perspective. Thus, individuals subject to abusive supervision are less likely to reduce their knowledge sharing behavior if they are obtaining support from their organization or from their coworkers.
In summary, this study contributes to an understanding of knowledge sharing, abusive supervision, and support literatures, drawing on insights from social exchange theory (Blau, 1964). First, this study contributes to knowledge sharing and abusive supervision literatures by examining abusive supervision as a barrier to individual knowledge sharing. Second, this study demonstrates the dynamics of interaction among different sources of support from key actors in a workplace; specifically, this study investigates the role of organizational and coworker support in the relationship between abusive supervision and knowledge sharing. Figure 1 depicts our model.

Hypothesized theoretical model.
Theoretical Background and Hypotheses
Knowledge Sharing and Abusive Supervision
Given the discretionary nature of knowledge sharing, employees may decide whether to engage in knowledge sharing behaviors depending on how supervisors treat them. As supervisors control important decisions around promotions, incentives, and rewards, supervisors’ behaviors are likely to be influential in determining knowledge sharing behaviors (Wang & Noe, 2010). Previous studies have demonstrated that supervisor support is positively associated with the development of a knowledge sharing culture and a willingness by employees to share knowledge (Connelly & Kelloway, 2003; Lin, 2007), while abusive supervision brings negative attitudes and low OCB (Aryee et al., 2007; Aryee et al., 2008; Harris et al., 2007; Tepper, 2000, 2007; Tepper et al., 2006; Tepper et al., 2001; Zellars et al., 2002). These findings imply that abusive supervision has a negative effect on employee knowledge sharing behaviors, which are a type of discretionary behavior.
Social exchange theory can help explain the link between abusive supervision and knowledge sharing (Blau, 1964). According to social exchange theory and the norm of reciprocity (Blau, 1964; Cropanzano & Mitchell, 2005), when one person does another person a favor, there is an expectation of some future return for that favor, although the time and the form of the return may not be clear (Gouldner, 1960). According to social exchange theory (Blau, 1964; Cropanzano & Mitchell, 2005), individuals may change their attitudes or behaviors, depending on how they perceive they are being treated or on the need for reciprocity. Abusive supervisors are those who do not treat employees well, and instead publicly criticize them, shout at them, intimidate them, use aggressive eye contact, withhold needed information, ridicule their subordinates, and/or give them the silent treatment (Keashly, 1998; Tepper, 2000). Abused employees are likely to feel victimized, as compared with non-abused employees. These practices create difficulties in advancing employees’ discretionary behaviors such as knowledge sharing (Zellars et al., 2002). Given that knowledge is a unique resource held by each individual, employees may not share their knowledge when they cannot expect a fair evaluation of, or recognition for, their knowledge sharing behaviors. In this context, abused employees are likely to respond negatively, by decreasing their discretionary behaviors in accordance with social exchange theory (Gregory, Osmonbekov, Gregory, Albritton, & Carr, 2013; Zellars et al., 2002). In addition, reactance theory suggests that individuals who experience high stress levels tend to restore or increase their level of control by exercising discretion (Zellars et al., 2002). Similarly, abused employees may readily decide to decrease their knowledge sharing efforts, as a means of restoring the control they have lost through abusive supervision. As knowledge providers may lose their unique resources (A. Cabrera & Cabrera, 2002), abused employees may not wish to share these resources, when they are not certain they will receive fair or positive treatment from their supervisors. Therefore, we predict the following:
The Moderating Effects of Support
Although supervisors play a critical role, they are not the only exchange partners in the workplace (Chiaburu & Harrison, 2008; Chiaburu et al., 2013; Rhoades & Eisenberger, 2002). In fact, the organization and one’s coworkers are also important actors who can provide adequate resources for knowledge sharing, particularly when one’s supervisor is abusive (cf. Wu & Hu, 2009). A multifoci perspective of social exchange suggests that an employee’s positive perception of their organization or their coworker may help reduce the effects of a negative supervisor’s behavior, as individuals may form supportive relationships with multiple parties (Lavelle et al., 2007). Furthermore, the cross-domain buffering effect (e.g., Duffy, Ganster, & Pagon, 2002) suggests that support from one source (e.g., organizational or coworker support) may buffer the negative effects of another source (e.g., abusive supervision). Thus, we propose that individuals who receive support from their organization or their coworkers are less likely to reduce their knowledge sharing, even if they receive unfair or abusive treatment from their supervisors, as knowledge sharing might be beneficial for the organization or their coworkers.
Although individuals under abusive supervision do not receive positive treatment from their supervisors (Tepper, 2000), they are likely to feel an obligation to their organization when they perceive a high level of organizational support (Eisenberger, Huntington, Hutchison, & Sowa, 1986). Organizational support is defined as the “general belief that their work organization values their contributions and cares about their well-being” (Rhoades & Eisenberger, 2002, p. 698). Depending on how organizations demonstrate their concerns for employees’ contributions and well-being, the employees develop positive or negative general perceptions toward organizations (Eisenberger, Stinglhamber, Vandenberghe, Sucharski, & Rhoades, 2002). Employees who perceive high organizational support tend to believe that the organization values their contributions, and provides the necessary resources when the resources are requested (Rhoades & Eisenberger, 2002). Accordingly, employees with high organizational support are predicted to fulfill their sociological needs and have increased feelings of obligation that have been otherwise lowered by abusive supervision, which can attenuate the negative effects of abusive supervision on individuals’ knowledge sharing. On the contrary, a low level of organizational support can further decrease feelings of obligation that have already been reduced by abusive supervision, which can intensify the negative effects of abusive supervision on individuals’ knowledge sharing behaviors.
According to the conservation of resources theory (COR; Hobfoll, 1989), employees are motivated to protect their current resources and acquire new resources (Hobfoll, 1989). Resources “either are centrally valued in their own right (e.g., self-esteem, close attachments, health, and inner peace), or act as a means to obtain centrally valued ends (e.g., money, social support, and credit)” (Hobfoll, 2002, p. 307). COR theory has two key tenets, which consist of resource conservation and resource acquisition (Ng & Feldman, 2012). The two tenets of COR theory are based on the idea that losses are more salient than gains, which suggests that individuals feel the experience of loss disproportionately more than they feel the experience of gain (Halbesleben, Neveu, Paustian-Underdahl, & Westman, 2014). This may imply that employees attach greater value to resource gains when they experience resource losses (Vinokur & Schul, 2002). Applying COR theory to our study, abused employees who experience reduced resources are more likely to perceive organizational support as a resource (Halbesleben et al., 2014). Although employees subject to abusive supervision do not receive the resources they need from their supervisor, they may receive the resources required for their work such as funding, technology, and physical assistance from the organization (Eisenberger et al., 1986). Furthermore, it is likely that abused employees may attach more value to the organizational support they receive in the context of the resources they have lost due to their abusive supervisors (cf. Vinokur & Schul, 2002). As a result, they may not reduce their knowledge sharing behaviors when there is a high level of organizational support, in accordance with COR theory (Hobfoll, 1989).
Similar logics can be applied to the moderating effects of coworker support on the relationship between abusive supervision and knowledge sharing relationships. Coworker support is defined as “the beliefs employees hold regarding the extent to which coworkers provide assistance” (Ng & Sorensen, 2008, p. 244). While organizational support is general in nature, coworker support may provide specific types of support, such as instrumental or emotional support (Chiaburu & Harrison, 2008; Kim & Yun, 2015). As one of the critical actors in the workplace, coworkers may provide instrumental or informational support by offering specific knowledge or information that are useful to perform tasks (Kim & Yun, 2015). Also, they may provide emotional support by listening to the employees’ problems and being friendly (Chiaburu & Harrison, 2008). This study focuses more on the emotional aspect of coworker support, as emotional support is likely to be helpful in reducing stress caused by abusive supervision.
Previous studies have noted that emotional parts of social support are generally beneficial to buffer the negative effects of stress on outcomes (Dormann & Zapf, 1999; Sloan, 2012). Consistent with the stress-buffering hypothesis, Sloan (2012) demonstrated that coworker support, specifically, emotional coworker support buffered the relationship between unfair treatment by a supervisor and job satisfaction, as well as the relationship between unfair treatment by a supervisor and psychological distress. Although individuals may perceive negative treatment from their abusive supervisors, they may feel a sense of obligation toward their coworkers when they have supportive coworkers who show concern and empathy for their difficulties. As knowledge sharing is beneficial not only for organizations but also for coworkers, individuals who receive high coworker support may limit their reduction of knowledge sharing as a form of positive reciprocity for their supportive coworkers, in line with social exchange theory.
Furthermore, these employees may view coworker support as a resource according to the COR theory (Hobfoll, 1989). Employees who have lost their resources due to an abusive supervisor may perceive that their resources could be replenished by coworker support. In particular, coworkers are likely to understand the difficulties facing abused employees and be able to provide psychological support (Wu & Hu, 2009). In this context, abused employees’ depleted resources could be recovered through psychological resources offered by coworkers that may mitigate the negative effects of abusive supervision on knowledge sharing. Overall, the negative effects of abusive supervision on knowledge sharing are likely to be weakened when the level of coworker support is high, based on social exchange and the conservation of resources perspectives. Thus, we predict the following:
Method
Sample and Procedure
Data were collected using questionnaires distributed to several organizations located in South Korea. The industry sectors included in this sample were the manufacturing, finance, and service sectors. Most of participants in this study held positions in research and development, management, and the like, who need to share their knowledge and know-how to better perform their jobs. Furthermore, the companies we surveyed usually had Intranet-based knowledge sharing databases in common. Employees in these companies were encouraged to report their knowledge or information through the online knowledge sharing database. Employees had ready access to the database, and could update their information and acquire new knowledge from others at any time. For examples, employees may upload useful guidance or working tips that they have learned from their tasks or each project. They may share new ideas or solutions for performing certain tasks. Also, through this knowledge system, employees can suggest comments or acquire feedback for each other.
Surveys were prepared and distributed to all 250 supervisor–subordinate dyads, in sealed survey packets. Every unique supervisor–subordinate dyad received a survey packet, which included supervisor and subordinate surveys. As supervisors in each company often have more than one subordinate, we had to make selection criteria to maintain a subordinate–supervisor ratio of 1:1. When making a list of supervisor and subordinate pairs, our contacts were informed that supervisor–subordinate dyads had to meet the following criteria. First, supervisors had to be in positions where they could closely observe and accurately evaluate their subordinates’ behaviors. That is, the distance between supervisors and subordinates should not be large in order for them to be paired with each other. Second, supervisors and subordinates had to work together regularly, which meant that they should have regular interactions. If there was a case that more than one subordinate meet these criteria, our contacts selected one subordinate randomly. Thus, we predicted that supervisors and subordinates included in this research were in a good position to evaluate subordinates’ knowledge sharing and observe supervisors’ abusive behaviors.
Participants were asked to enclose their completed surveys in the envelopes provided, and to seal them, to maintain the confidentiality of their responses. All the supervisors and subordinates in this study participated voluntarily and were assured of anonymity. As a single supervisor completed a questionnaire for only one subordinate, this study had no nesting issues. From 250 dyadic samples, 178 supervisor–subordinate dyads were returned, giving a response rate of 71.2%. However, some questionnaires could not be used for the analyses, either because only one partner participated or because the answers were not completed properly. As a result, 128 supervisor–subordinate dyads were used for the final analysis. In terms of demographics, of the subordinates, 67.4% were male, and their average age was 32.23 years (SD = 5.51). Most participants were full-time employees (93%). Of the supervisors, 87.8% were male, and the average age was 43.33 years (SD = 5.63). The most frequently mentioned level of education for both subordinates and supervisors was university (78% for subordinates and 71.2% for supervisors). Subordinates had worked with their supervisors on average for 2.54 years (SD = 2.81).
Measures
The English language questionnaires were translated into Korean, using the conventional method of back translation (Brislin, 1980). The translation and back translation of the questionnaires were completed independently by two Korean bilingual academics. All the variables were measured, using established measures. The employees were asked to provide information with regard to their perceptions of abusive supervision, organizational support, and coworker support. To reduce concerns about common method bias, their immediate supervisors were asked to provide their evaluations of the subordinates’ levels of knowledge sharing. All the items were measured on a seven-point Likert-type scale (ranging from 1 = strongly disagree, to 7 = strongly agree).
Knowledge sharing
Subordinates’ knowledge sharing was measured by their immediate supervisors using seven items from Srivastava et al. (2006). Sample items included “the subordinate shares his or her special knowledge and expertise with others” and “the subordinate shares lots of information with others.”
Abusive supervision
Tepper’s (2000) 15 items were used to measure subordinates’ perceptions of abusive supervision. This measure asked participants to rate the extent to which they agreed or disagreed with statements such as “my immediate supervisor tells me my thoughts or feelings are stupid” and “puts me down in front of others.”
Support
Organizational support was measured through the use of 6 items from the short form of the Survey of Perceived Organizational Support (Eisenberger et al., 1986). Sample items were “my organization considers my goals and values” and “help is available from my organization when I have a problem.” For coworker support, Tsui, Pearce, and Porter’s (1997) scale was adapted. The scales were composed of 8 items, and sample items were “my coworkers are willing to listen to my problems” and “my coworkers are considerate of my feelings.”
Control variables
We conducted analyses with several control variables such as demographics (age, gender, education, and tenure with supervisor) and employment type, to be in line with the extant literatures of knowledge sharing and abusive supervision (e.g., Wu & Hu, 2009). Although the range of industry types could be beneficial for generalizability of the results (cf. Cook & Campbell, 1979), it was possible that the different industry types might influence the results. For this reason, we included industry type as a control variable in our model. Age and average dyadic tenure were measured in years. Gender was measured as a dichotomous variable, coded as 1 for male and 2 for female. We measured education on a scale that ranged from “high school” to “master’s degree or higher.” For the employment type, two dummy variables were generated (1 = full-time and 0 = not full-time). Two industry dummy variables representing manufacturing and financial services were used as control variables.
Analytical Procedures
We conducted hierarchical regression analyses to test our hypotheses. First of all, to test the hypotheses of the main and moderating effects between abusive supervision and knowledge sharing, we included control variables in Step 1. Next, in Step 2, we included abusive supervision, followed by organizational support and coworker support in Step 3. Finally, in Step 4, the two interaction terms (Abusive supervision × Organizational support, Abusive supervision × Coworker support) were entered. We conducted a test for multicollinearity and reviewed the Variance Inflation Factor (VIF) levels. All VIF values were far less than 10, which is the upper-limit cutoff for VIF scores. These results suggest that multicollinearity is not a serious concern in the present study (Chatterjee & Price, 1991).
Results
We conducted confirmatory factor analysis (CFA) to investigate the construct validity of the variables used in our model. As shown in Table 1, our hypothesized model—which included four factors (abusive supervision, organizational support, coworker support, knowledge sharing)—when compared with a series of competing models, revealed that the four-factor model was significantly superior to other models. The fit indices for our hypothesized model were as follows: χ2 (59) = 99.41, p ≤ .001, comparative fit index (CFI) = .98, Tucker–Lewis Index (TLI) = .97, and root mean square error of approximation (RMSEA) = .07. To test whether organizational support and coworker support were distinct constructs, we combined organizational support and coworker support in a three-factor model. Followed by the three-factor model, organizational support, coworker support, and knowledge sharing were combined in a two-factor model. Last, all variables of abusive supervision, organizational support, coworker support, and knowledge sharing were combined in a one-factor model. As summarized in Table 1, the chi-square difference test and multiple indexes (CFI, TLI, and RMSEA) all indicated that the hypothesized model showed the best fit, compared with other alternative models, by showing CFI and TLI greater than .90, and RMSEA less than .08. In conclusion, our hypothesized model demonstrated that abusive supervision, organizational support, coworker support, and knowledge sharing are separate constructs.
Comparison of Measurement Models.
Note. CFI = comparative fit index; TLI = Tucker–Lewis Index; RMSEA = root mean square error of approximation.
Four factors: Abusive supervision; Organizational support; Coworker support; Knowledge sharing.
Three factors: Abusive supervision; Organizational support and Coworker support combined; Knowledge sharing.
Two factors: Abusive supervision; Organizational support, Coworker support, Knowledge sharing combined.
One factor: Abusive supervision, Organizational support, Coworker support, Knowledge sharing combined.
p ≤ .001.
The means, standard deviations, and correlations are displayed in Table 2. All variables have high reliabilities, with Cronbach’s alpha coefficients of .87 or higher. The correlations for all variables were in the expected direction. Table 3 summarizes the results of the hierarchical regression analysis.
Descriptive Statistics and Correlations.
N = 128. Reliabilities are on the diagonal in parentheses.
These variables were measured from focal employees.
Managerial rating.
p ≤ .05. **p ≤ .01. ***p ≤ .001 (two-tailed). †p ≤ .10.
Multiple Regression Results for Knowledge Sharing. a
Note. N = 128. VIF = Variance Inflation Factor.
Entries are standardized regression coefficients.
Variables are standardized variables.
p ≤ .05. **p ≤ .01. ***p ≤ .001 (two-tailed). †p ≤ .10.
Hypothesis 1 suggested a negative relationship between abusive supervision and knowledge sharing behaviors. The regression results showed that abusive supervision had a significant negative relationship with knowledge sharing (β = −.18, p ≤ .05). Thus, the results supported Hypothesis 1. Hypothesis 2 proposed that organizational support and coworker support would have moderating effects on the relationship between abusive supervision and employee knowledge sharing. As can be seen in Table 3, the interaction term between abusive supervision and organizational support was significant (β = .26, p ≤ .01). However, the interaction term between abusive supervision and coworker support was not significant (β = −.14, n.s.). Thus, Hypothesis 2b was not supported. To further explore this interaction, we plotted the results using Aiken and West’s (1991) procedure of ±1 SD in Figure 2. The negative relationship between abusive supervision and knowledge sharing was attenuated when organizational support was high (Figure 2). The simple slope tests showed that the negative relationship between abusive supervision and knowledge sharing was significant only when organizational support was low (b = −.33, t = −3.00, p < .01) but not significant when organizational support was high (b = .10, t = 0.77, n.s.). As shown in Figure 2, the negative relationship between abusive supervision and knowledge sharing was attenuated when organizational support was high rather than when it was low. Thus, only Hypothesis 2a was supported.

The moderating effect of organizational support on the relationship between abusive supervision and knowledge sharing.
Discussion
Although knowledge sharing is an essential factor for achieving organizational effectiveness, it is difficult to promote individuals’ knowledge sharing, as shared knowledge is available to everyone, without any obligation for making reciprocal contributions, which means that it becomes a public good (A. Cabrera & Cabrera, 2002; Wang & Noe, 2010). We found that, when their supervisors were abusive, individuals were likely to decrease their level of knowledge sharing as a form of negative reciprocity, based on social exchange theory (Blau, 1964). In addition, this study explored the moderating effects of organizational and coworker support on the relationship between abusive supervisors and their subordinates’ knowledge sharing behaviors. Results confirmed the moderating effects of organizational support but not those of coworker support.
Theoretical Implications
This study offers four major theoretical implications. First, our study contributes to the knowledge sharing literature, demonstrating the important influence of supervisors on individuals’ knowledge sharing behaviors. Despite the critical role of supervisors, there is a paucity of research examining how a supervisor’s behavior may relate to knowledge sharing by individuals (Srivastava et al., 2006). Applying social exchange theory (Blau, 1964), this study shows the negative effects of abusive supervision on knowledge sharing. As our results demonstrate, how supervisors treat their subordinates is critical to promoting or inhibiting individuals’ knowledge sharing. As Srivastava et al. (2006) found, empowering leadership positively relates to knowledge sharing at the team level. It might be worthwhile to examine how supervisors’ other behaviors relate to knowledge sharing in future research. For example, a supervisor’s cooperative or ethical behavior might facilitate knowledge sharing by individuals by reducing the risks of knowledge sharing.
Second, our study contributes to the abusive supervision literature by demonstrating the negative effects of abusive supervision on discretionary behaviors, such as knowledge sharing. Most studies in the abusive supervision literature have investigated the relationship between abusive supervision, employees’ job attitudes, and stress-related variables (Harris et al., 2007). This study contributes to that literature by focusing on an element of discretionary behaviors—knowledge sharing behavior—that is critical for organizational effectiveness. Extending from this work, future research should investigate the mechanisms between abusive supervision and knowledge sharing. In addition, the findings of this study suggest that abusive supervision may contaminate organizational climates (Tepper, Duffy, Hoobler, & Ensley, 2004). Although supportive coworkers are present in a workplace, abused employees may not fully enjoy the benefits of their coworkers’ additional resources in the presence of abusive supervision. Instead, they may misinterpret their coworkers’ intentions or believe coworker support is an instrumental tactic used to enhance their self-image. Future research should examine whether and how abused employees attribute the support of coworkers as being self-serving rather than as being well-intentioned.
Third, our study gives insights to the support literature by examining the effects of receiving support from different sources in a workplace. Our study found that only organizational support, not coworker support, has a moderating effect on the relationship between abusive supervision and knowledge sharing. Previous studies have examined the interaction effects of the different types of support on outcomes (Duffy et al., 2002). For example, the negative relationship between organizational support and turnover was strengthened in the context of low supervisor support, which may imply that the role of organizational support becomes more critical when there is lack of supervisor support (Maertz, Griffeth, Campbell, & Allen, 2007). Duffy and colleagues (2002) investigated the interaction effects of social undermining and social support in the workplace. Their results showed that coworker support failed to buffer the relationship between supervisor undermining and counterproductive behaviors, both active and passive (Duffy et al., 2002). Our results extend this line of research by examining the moderating effects of organizational support and coworker support in the relationship between abusive supervision and knowledge sharing. As our study shows, not all types of support are necessarily beneficial, but organizational support is an effective way of alleviating the negative impacts of abusive supervision on knowledge sharing.
Our study does not support a moderating effect of coworker support. There are several plausible reasons for this. First, the effect of coworker support might be weaker than that of supervisor support because of power or value differences between coworkers and supervisors (Chiaburu et al., 2013; Ng & Sorensen, 2008). Given the critical role of the supervisor, coworker support might not be sufficiently influential to decrease the negative effects of abusive supervision (Kim & Yun, 2015; Ng & Sorensen, 2008). The literature on coworker exchange relationships also indicates the possible influence of supervisor–subordinate relations on exchange quality between coworkers (Sherony & Green, 2002). In this respect, it is possible that abused employees will experience tension or conflict with other non-abused coworkers, which may prevent them from getting the full benefits of coworker support. In addition, our finding might be interpreted in a cultural context. Unlike Western cultures, where power distance is low, South Korea has a high power distance culture (Hofstede, 1980). In this context, the ability of coworker support to buffer the effects of supervisors’ abusive behaviors may be much weaker.
Furthermore, the impact of coworker influence on knowledge sharing behaviors could be stronger for instrumental coworker support rather than for emotional coworker support. Separately from organizational support, we measured the emotional aspect of coworker support, such as listening behaviors and showing concerns to employees, rather than directly helping to solve problems (Wu & Hu, 2009). In other words, coworker instrumental support could be a very powerful tool, which should be investigated in future research. In addition, it may be possible that abused employees who interact with their coworkers and discuss their stressful issues may feel even more stress; these interactions may unintentionally lead employees to concentrate on their problems and lower their self-image (Beehr, Bowling, & Bennett, 2010; Wu & Hu, 2009). Recent research found a “reverse buffering effect” from coworker support such that the negative relationship between abusive supervision and emotional exhaustion was strengthened with a higher level of coworker support (Wu & Hu, 2009). Thus, there is a possibility that the potential negative and positive effects of coworker support may offset each other, leading to our non-significant results here.
Another possible explanation is that coworker support may be seen as political, rather than altruistic (Ng & Sorensen, 2008). As individuals who provide support to others may be viewed as more competent and valuable, coworkers could use support as a tactic for increasing their image or status in the workplace (Tepper et al., 2004). Furthermore, given a similar hierarchical position, employees may feel low self-esteem or that they are not able to utilize coworker support (Tepper et al., 2004). Due to these possibilities, the effects of coworker support might not be related to favorable outcomes (Ng & Sorensen, 2008). Different from organizational support, employees may interpret coworker support as a political behavior or impression management (Ng & Sorensen, 2008). In particular, in the context of abusive supervision, climates are likely to be competitive and hostile (Tepper et al., 2004; Tepper, Moss, & Duffy, 2011). In this context, there is a greater chance that employees may not regard coworker support as a valuable resource but instead view it as instrumental or political, which may reduce the buffering effect of abusive supervision on knowledge sharing. In this situation, abused employees might face the so-called “receiver’s dilemma,” where it is not easy to form accurate impressions of the coworker or interpret the true intentions behind their support (Gurevitch, 1985). Therefore, unlike organizational support, abused employees might be suspicious of coworkers’ intentions for offering support, which may decrease the role of coworker support in the relationship between abusive supervision and knowledge sharing. Future research may need to examine this issue further in different research settings.
Finally, our findings fall in line with social exchange theory. According to social exchange theory, individuals may limit their efforts at improving discretionary behaviors, depending on their perceived benefits, or on their treatment by their exchange partners (Cropanzano & Mitchell, 2005). Our study is meaningful in that it includes all major exchange partners in a workplace—organizations, supervisors, and coworkers—in one framework, investigates how negative treatment from one exchanging partner may affect individuals’ knowledge sharing, and investigates how favorable treatment from another exchanging partner may buffer this negative effect. As our results indicate, individuals decrease their level of knowledge sharing when they are subject to abusive treatments from their supervisors, but the negative effect of a supervisor’s detrimental behavior could be mitigated by support from the organization. Extending from our research, it will be worthwhile to use the social exchange perspective to examine other discretionary behaviors in future research.
Limitations and Future Research
This study has limitations. First, our cross-sectional design cannot infer causality; reverse causality might exist. For example, employees may receive abusive treatments owing to their low participation in knowledge sharing. In addition, longitudinal research design should examine how individuals may change their perceptions of organizational or coworker support after they experience abusive supervision, as there is a chance that abusive supervision might influence followers’ perceptions of such support. Second, common method bias might be a concern. We have tried to reduce this potential problem by collecting data from two different sources—the employees and their supervisors—and used the supervisors’ data on knowledge sharing to increase the objectivity of data. Furthermore, common method bias is less likely to explain our significant interaction effects (Evans, 1985). Therefore, common method bias may not affect our major findings. However, it would be valuable to measure knowledge sharing from diverse sources—including supervisor, self, and a coworker—and compare how these data sources may influence results differently in future research. Third, the sample in our study was male dominated and highly educated. We have tried to minimize this issue by controlling for gender and education in our model. Nevertheless, it might be beneficial to use a more balanced sample in future research. Finally, our study included only a limited number of variables, as we intended to conduct a focused rather than a comprehensive study. Future research may need to include more variables to deepen the understanding of knowledge sharing and abusive supervision. For example, justice, trust, and psychological contract violation might be investigated as mechanisms pertinent to abusive supervision and knowledge sharing in future research.
Managerial Implications
Our study also offers practical implications. First, recognizing the negative consequences of abusive supervision, organizations should make efforts to prevent abusive supervision in workplaces. For example, organizations should arrange coaching or constructive leadership training that could be helpful for preventing this dark side of a supervisor’s behavior from manifesting. Second, organizations should pay more attention to finding ways to decrease the negative consequences of abusive supervision on job-related performance. As it is often not easy or realistic to remove all abusive supervisors in organizations, providing social contexts that can decrease the negative effects of abusive supervision could be more practical remedies. As our study suggests, organizational support could be one of the effective solutions for reducing the harmful effects of abusive supervision. Scholars suggest that favorable work experiences and job conditions—including training, job security, reward expectations, and high autonomy—are effective ways for cultivating employees’ high organizational support (Eisenberger & Stinglhamber, 2011; Shanock & Eisenberger, 2006). Previous studies have noted that organizational justice and supportive human resource policies that provide feelings of inclusion and recognition from upper management are critical antecedents of organizational support (Wayne, Shore, Bommer, & Tetrick, 2002). Thus, companies can design human resource practices and evaluation systems that increase perceptions of fairness, recognition, or inclusion. For example, a 360° feedback system or mentoring programs might increase perceptions of organizational support, by enhancing fairness and personal growth.
Conclusion
Our study suggests that abused employees tend to hoard their knowledge but that another available form of support—organizational support—may alleviate this detrimental effect. This study enriches our understanding of the relationship between abusive supervision and knowledge sharing, applying social exchange theory. In the context of abusive supervision, organizational support could be an effective tool to attenuate the negative effect of abusive supervision on knowledge sharing.
Footnotes
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by the Institute of Management Research at Seoul National University.
Associate Editor: Hongwei He
