The Effect of Family–Work and Work–Family Conflict on Call Center Workers’ Emotional Exhaustion With Person–Job Fit as Antecedent

In accordance with the government’s regulations in Indonesia, all financial services institutions are obliged to implement a customer complaint handling mechanism, which has contributed to the rapid growth of the call center industry. As a benchmark for managing service quality, call center workers are required to always keep their emotions stable despite the continuous pressures and unpleasant responses from customers. For this reason, working at call centers is now considered a job with a high emotional burden. Few studies have specifically examined the level of emotional exhaustion among call center workers in Indonesia. Therefore, this work aims to investigate the effect of family–work and work–family conflict on such workers’ emotional exhaustion, with person–job fit as antecedent. For this purpose, we collected data from 154 questionnaires completed by call center workers at financial services institutions in Indonesia. We analyze the relationship among the variables under study using structural equation modeling (SEM). The results show that the level of compatibility between employees’ and their job reduces both family–work and work–family conflict. In terms of work–family conflict, call center workers will feel emotionally exhausted only when faced with a dilemma between work and family responsibilities. The call centers’ management should thus create a family-friendly work environment to ensure excellent care for employees.

Gender-Specific Association between Emotional Labor and Health-Promoting Behavior in Call Center Workers

Background: This study aimed to examine whether emotional labor was significantly associated with health-promoting behaviors among both women and men at call center workers.Methods: A cross-sectional, correlational study was conducted among 709 workers (470 women and 239 men) at K call center workplace in Seoul, South Korea. Emotional labor and health-promoting behaviors were measured using the Emotional Labor and Health Promoting Lifestyle Profile-II (HPLP-II).Results: Of all the call center workers, the average score of emotional labor was 3.5 out of 5.0. Women had a higher average emotional labor score (3.6 points) than men (3.5 points). The average score of health-promoting behaviors was 2.0 out of 4.0 in the overall workers and each group of women and men workers, respectively. Emotional labor was significantly associated with health-promoting behaviors among each group of women and men. Among women workers, emotional labor was significantly negatively associated with the spiritual growth and stress management subscales of the HPLP-II, while among men workers, it was significantly negatively associated with all HPLP-II subscales.Conclusions: Emotional labor may be associated with health-promoting behaviors and its associations with the subscales of health-promoting behaviors may differ by gender. Therefore, nursing strategies for reducing emotional labor should be concerned in the context of gender-specific associations with emotional labor.

The Effect of Pollution on Worker Productivity: Evidence from Call Center Workers in China

We investigate the effect of pollution on worker productivity in the service sector by focusing on two call centers in China. Using precise measures of each worker’s daily output linked to daily measures of pollution and meteorology, we find that higher levels of air pollution decrease worker productivity. These results manifest themselves at levels of pollution commonly found in large cities throughout the developing and developed world. (JEL J24, L84, O13, P23, P28, Q51, Q53)

Deductive Approach to Content Analysis

This chapter initially introduces content analysis and elicits different approaches to content analysis. These include the distinctions based on qualitative and quantitative content analysis. It clarifies the differences between inductive and deductive content analysis. It then moves on to deductive content analysis. Through an example, this chapter explains how deductive content analysis is used to elicit different factors that affect job performance of call center workers. The steps of coding, grouping, abstraction, and model development are explained with excerpts from two interview transcripts. The interview transcripts that deal with developing a model for the factors that affect job performance of call center employees in India.