Because customer service employees often represent the sole contact a customer has with a firm, it is important to examine job-related factors that affect customer service employee performance and customer evaluations. In two diverse customer settings, the authors capture matched responses from service employees, supervisors, and customers. The authors use the data to examine the potential chain of effects from customer service employee work-family conflict and family-work conflict, to job stress and job performance, to customer purchase intent (CPI). The results show direct (and indirect) effects of work-family conflict and family-work conflict on service employee customer-directed extra-role performance (CDERP). The results also show direct effects of job stress on service employee in-role performance (IRP) and CDERP and on CPI. Furthermore, the findings show that job stress has a more pronounced effect on IRP than on CDERP and that CDERP has a greater effect on CPI than does IRP. The authors conclude with a discussion of managerial and theoretical implications.
The Implicit Association Test (IAT) is widely used in psychology. Unfortunately, the IAT cannot be run within online surveys, requiring researchers who conduct online surveys to rely on third-party tools. We introduce a novel method for constructing IATs using online survey software (Qualtrics); we then empirically assess its validity. Study 1 (student n = 239) found good psychometric properties, expected IAT effects, and expected correlations with explicit measures for survey-software IATs. Study 2 (MTurk n = 818) found predicted IAT effects across four survey-software IATs (d's = 0.82 [Black-White IAT] to 2.13 [insect-flower IAT]). Study 3 (MTurk n = 270) compared survey-software IATs and IATs run via Inquisit, yielding nearly identical results and intercorrelations expected for identical IATs. Survey-software IATs appear reliable and valid, offer numerous advantages, and make IATs accessible for researchers who use survey software to conduct online research. We present all materials, links to tutorials, and an open-source tool that rapidly automates survey-software IAT construction and analysis.
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