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This paper aims to examine the effect of employees’ emotional labor on work engagement and boundary-spanner creativity based on the job demands-resources model from the perspective of salespeople.

To analyze the data, a confirmatory factor analysis and structural equation modeling procedure using LISREL 8.5 were used. Next, the conditional process modeling was fitted to test the moderated mediation hypotheses.

The analysis results showed that deep acting has a positive effect on work engagement, whereas surface acting has a negative effect, indicating that work engagement of sales representatives is differently related to each factor of emotional labor. Second, work engagement of salespeople has a positive effect on boundary spanner creativity. Next, entrepreneurship has a moderate effect in the relationship between emotional labor and work engagement with customer stewardship and has a positive moderating effect in the relationship between work engagement and boundary spanner creativity.

Considering the positive effect of boundary spanner creativity on work engagement, it is important to maintain interaction with customers, including adaptive behaviors and customer orientation, as customers’ demand increases. The individual competence and capability of salespeople such as entrepreneurship are directly related to interaction with customers, so when the right strategy is defined for each type of entrepreneurship of salespeople, it will create a positive corporate culture and lead to performance improvement.

Compared with most studies, more direct factors of emotional labor were assessed to detect positive effects in this study. More specifically, when salespeople were forced to fake their feelings, they were more likely to recognize stress or burnout due to emotional dissonance between what they really felt and what they had to express to comply with organizational regulations.

This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.