The impact of artificial intelligence implementation on job satisfaction and its moderation by locus of control

  • Bárbara Bragard (Student)

Student thesis: Master's Thesis

Abstract

Leveraging the great advances in technology, such as robotics, machine learning, and Artificial Intelligence (AI), organizations have been able to optimize processes, improve decision-making, and lower costs. The automated workplace has become an inevitable path, which raises the concern of how employees will react to it and how companies can create a healthy automated work environment. This dissertation aimed to study the relationship between job satisfaction and the use of AI, based on employees' perception of control, and a correlational study was conducted to fulfil this aim. In an online survey, currently employed people were asked to indicate their job satisfaction, then to imagine that they were working with AI, and finally to indicate their job satisfaction again. The results revealed that locus of control is an important variable to explain differences in job satisfaction among people, but it does not influence how much more or less satisfied each person will feel after the introduction of AI in the workplace. This might be due to this research’s limitations, which is why more studies need to be conducted before definitive conclusions can be made. The current study, however, already represents a contribution for organizations to start understanding the optimal way to implement AI in the workplace and also serves to foster future exploration of the field.
Date of Award3 May 2023
Original languageEnglish
Awarding Institution
  • Universidade Católica Portuguesa
SupervisorCristina Soares Pacheco Mendonça (Supervisor)

Keywords

  • Artificial intelligence
  • Locus of control
  • Job satisfaction
  • Workplace
  • Automation

Designation

  • Mestrado em Gestão

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