The progressive and growing implementation of robots in companies (IFR, 2019), 2. These methods will allow us to estimate the influence of robotization on the endogenous variables of our research model. ![]() ![]() The data obtained will be analyzed using methods based on latent change models. The study sample will consist of employees who work in companies that plan to implement robots for the first time during the first three years of the project, or companies that, if they have already implemented them in some departments, will extend them to others. To achieve these objectives, a longitudinal design will be developed in which data will be collected before and after the implementation of robots in companies. In addition, it will be analyzed to what extent the impact of robotization depends on organizational factors (implementation strategy) and individual factors (gender, age, education, work, previous experience with robots and attitude towards robots). Therefore, the general objective of this research project is to determine the influence that the implementation of robots has in labor organizations (robotization) on the perception of the characteristics of the position (autonomy, variety, feedback on the position, identity, transcendence, and interaction with other members), the meaning of the job, and job outcomes (job satisfaction, well-being, performance, and absenteeism). Addressing this research gap is important for theoretical, practical, and ethical reasons. affected jobs, the work experiences of the employees who occupy them, and the outcomes associated with the performance of those jobs (for example, job satisfaction, well-being, and performance). ![]() Although there is general agreement that this phenomenon is influencing the content and characteristics of jobs, there is a scarcity of studies with quantitative methodology that investigate the influence that the phenomenon of robotization has on the characteristics of job positions. The introduction and implementation of robots in labor organizations during the last decades is an indisputable phenomenon that will show progressive growth in the coming years (IFR, 2019, 2020).
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