摘要：Orientation: Since service quality is an important differentiator in the banking industry, it is essential to select suitable customer service centre staff, particularly those who are responsible for handling queries from clients who hold significant lifetime value in this industry. Research purpose: The aim of the study was to identify personality traits, as measured by the Occupational Personality Questionnaire 32r (item response theory scored version), including the more parsimonious Big Five personality traits, that may act as job performance predictors for customer service centre (CSC) agents in the banking industry. Motivation for the study: This study provides an exploratory investigation of whether specific personality traits differ amongst CSC agents in the banking industry, based on their job performance. No published research in this field could be identified. Research design, approach and method: Purposive sampling was used to collect data from the entire CSC agent base of a particular banking group ( N = 89). Responses were analysed by means of quantitative techniques. Main findings and practical/managerial implications: Results indicate that parsimonious traits of personality, expressed as the Big Five personality traits, predict job performance. The importance of carefully selecting suitable job performance criteria for a specific environment, however, emerged as a critical issue in performance prediction. Contribution: The study focuses attention on the importance of CSC agents’ performance as frontline staff in the banking industry and identifying valid criteria for selecting the most suitable agents. Providing a one-contact point of service such as a CSC is a fairly new approach in the South African banking industry and this study provides an initial investigation of personality traits that may serve as job performance predictors in this environment.
关键词：Personality; Personnel Psychology;recruitment;customer service; customer service centre; call centre; Occupational Personality Questionnaire 32 (OPQ32r); banking industry
