Organisational identification-based model of job performance in the IT sector: mediating role of work engagement and organisational citizenship behaviour

Abstract High employee job performance is considered one of the key factors contributing to a company’s commercial success, especially in such service-oriented sectors as IT. Researchers recognise a significant role of employee organisational identification, work engagement, and organisational citizenship behaviour in improving job performance; however, a complex model showing the relationship between those variables has not been provided so far. Moreover, a discrepancy exists between the theoretical conceptualisation and definition of organisational identification and its empirically proven measurements. In this context, the article aims to develop a holistic measurement for organisational identification and analyse the roles of organisational identification, work engagement, and organisational citizenship behaviour in improving job performance of the IT sector employees. An empirical study was conducted with 246 employees from IT sector organisations in Poland and Germany. The study was performed using the CAWI technique. The research tool was a questionnaire. The gathered data were analysed using IBM SPSS Statistics (descriptive statistics, scale reliability testing, and EFA) and IBM SPSS AMOS (CFA and path analysis) to verify the model. The analysis results show a positive influence of organisational identification on job performance through work engagement and organisational citizenship behaviour, i.e., organisational identification has a strong, positive and statistically significant effect on work engagement; work engagement has a positive and statistically significant impact on job performance and organisational citizenship behaviour; and organisational citizenship behaviour has a positive and statistically significant impact on job performance of the IT sector employees.

• Publication year

  2025

• Venue

  Engineering Management in Production and Services

• Publication date

  2025-09-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.2478/emj-2025-0021
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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