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The strength of this study is that the single professional services organization in which we examined the hypothesized model consists of different businesses: Tax, Assurance, Advisory and Transactions. Those different departments drive business in different ways, with their own values, rules and procedures. The organization in this case not only focuses on different businesses but subsequently also on different sectors (e.g., Start-Ups, Fast-Moving-Consumer-Goods sector, and Public Sector). Therefore, a strength of this study is that our sample consists of different businesses departments, and thus it can be said that the findings are generalizable in other sectors. Also, the workforce in organization X is characterized by different nationalities with their own culture and values-and-beliefs orientations (Liao & Chuang, 2007). Thus, our findings are presumably replicable in various other cultures. Moreover, we reduced the common-method bias by using Harman's (1961) single factor technique. Lastly, employees rated the level of EI amongst their leaders. By asking employees’ perception of their leader’s level of EI, we reduced Williams’ (1998) notion that it might be possible that a leader is emotionally intelligent but if their non-managerial employees perceive their leader’s level of EI differently, their influence of EI on employees might well be limited. A leader might believe that they make an effort to listen, to understand, and to take into consideration the experience of others, but if that does not translate into a ‘reality’ for their employees then it is of limited benefit.

Despite its strengths, the present study has a number of limitations. The first limitation is the common-method bias, because our study consists of one single source. Future studies must rely on multiple sources in order to increase the confidence in the results. A second limitation is that the

37 outcomes of the dependent variables, job performance and work engagement, are based on subjective data; the perceptions of employees. In order to gain more reliable outcomes, we need to examine this hypothesized model with more objective measurements (e.g. employees’ performance ratings, sales numbers, turn over ratings, or client satisfaction ratings). Third, although we reduced the social-desirability bias of a leader’s EI, this study may still suffer from it. Future research should include more objective measurements or assessments of employee performance/engagement by the perception of their leader. Fourth, our study may suffer from non-response bias because the response rate of the survey was low. An explanation of this low rating could be that the case company has their own yearly engagement survey. The response rate of this survey was 55%, and was distributed two months before our survey. Fifth, this study focused only on psychological capital of the employees, and did not assess the degree of a leader’s psychological capital involved. Accordingly, Walumbwa et al. (2010) stated that a leader’s psychological capital also affects employees’ job performance. Thus, future research should not only concentrate on psychological capital of employees but also on a leader’s psychological capital. Sixth, the survey data was collected at one point in time. Therefore, it is difficult to establish causal relationships among the variables, as well as reverse causality. Thus, longitudinal studies are recommended. This future research option should investigate data from different periods in time, in order to reveal how the mechanisms occur over a longer period of time. Finally, this research concentrates only on emotionally intelligent leaders. Employees who exhibit a high level of EI may be even important as emotionally intelligent leaders. Wu (2011) found that emotionally intelligent employees positively impact their own job performance. Besides, an employee who scores high on EI is more likely to be able to reduce and transform negative impacts of job stress on job performance. Also, next to an emotionally intelligent leader, also colleagues who score high on EI may impact

38 employees’ perceived service climate. Future research must elaborate further on the linkages between a leader’s EI and levels of EI among their employees. The question on how emotionally intelligent leaders influence not only the service climate and employees’ psychological capital, but also bolster psychological capital and EI among employees, must be analyzed further.

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Conclusion

Present work highlights the principles of the COR theory on how individual employees utilize resources that are available to them. This study provides empirical support, especially in the field of professional services organizations, that EI is one of the “key” employee resources (Halbesleben et al., 2014). This social “key” job resource, in turn, relates to two other types of employee resources: perceived climate and employees’ psychological capital. This paper answers recent calls within organization-studies to investigate how a leader’s EI is linked towards employee job outcomes at the individual level: through service climate and psychological capital. The findings provide evidence that, given the positive impact of a leader’s EI on professional service employees and subsequently the firm’s clients, professional services organizations are likely to benefit from these leaders by their ability of promoting a strong climate of service among their employees. This climate contributes to their so-called psychological capital and in turn to both high job performance and work engagement, and as a means of enabling employees to ultimately deliver ‘exceptional client services’. However, longitudinal research is recommended, in order to reveal causal relationships of the hypothesized model. All in all, our study provides a fundamental basis for further research on how specific job resources unveil employees’ performance outcomes, based on the COR-theory. Finally our study provides practical implications on how service workers, clients and (professional services) organizations benefit from high emotionally intelligent leaders.

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