Can decision intelligence help organizations retain employees? Serial multiple mediation of job characteristics and meaningful work

New artificial intelligence (AI) powered technologies such as OpenAI's ChatGPT model, intelligent decision support systems, and autonomous robots are transforming decision making leading to the increased prevalence of decision intelligence in organizations. This paper explores the relationship between decision intelligence, job characteristics, meaningful work, and employees' intentions to leave the organization or turnover intentions. The research model is based on robust theoretical foundations and was tested with data collected from a survey on Prolific. The study utilizes PLS SEM (partial least squares structural equation modeling) method to test the hypotheses. Three categories of model fit indices are used to assess the final model. The results interpreted from direct effects revealed a positive relationship between decision intelligence and intention to leave. Nevertheless, the mediation analysis within the path model demonstrated that this relationship transformed into a negative one when mediated by job characteristics and meaningful work. In its conclusion, the paper discusses research findings, addresses limitations, and underscores contributions, thus paving the path for integrating decision intelligence into academic literature and industry practices.

Automated summary

This paper explores the relationship between decision intelligence, job characteristics, meaningful work, and employees' intentions to leave the organization. Through data collection and statistical analysis, it found that there is a positive relationship between decision intelligence and intention to leave, but this relationship turns negative when mediated by job characteristics and meaningful work.