Abstract
Robotic Process Automation (RPA) technology emerged as an innovative solution that supports the maintenance of operational processes and ensures business continuity, especially during the coronavirus pandemic. A survey was conducted for the purposes of this study. The main objective of the survey was to identify employees’ attitudes towards RPA implementation in Polish service companies. The attitudes related to their involvement in the design and implementation of RPA solutions and their awareness of the fact that performing repetitive tasks is inefficient were scored the highest. The surveyed managers were of the opinion that employees waste time because they are occupied rewriting data between systems instead of developing the company, so they should be transferred to doing more complex and value-added work. Moreover, the involved statistical analyses also considered the correlations between employees’ attitudes and determinants of RPA adoption.
Publisher
Centre of Sociological Research, NGO
Subject
Human-Computer Interaction,Communication,Social Psychology
Reference90 articles.
1. Acemoglu, D., & Restrepo, P. (2017). Robots and Jobs: Evidence from US Labor Markets; NBER Working Paper; Social Science Electronic Publishing. Inc.: Rochester. NY. USA.
2. Acemoglu, D., & Restrepo, P. (2018). Artificial Intelligence. Automation and Work; NBER Working Paper; Social Science Electronic Publishing. Inc.: Rochester. NY. USA.
3. Acemoglu. D., & Restrepo. P. (2016). The Race Between Machine and Man: Implications of Technology for Growth. Factor Shares and Employment; NBER Working Paper. Social Science Electronic Publishing. Inc.: Rochester, NY, USA.
4. Acemoglu. D., & Restrepo. P. (2016). The Race Between Machine and Man: Implications of Technology for Growth. Factor Shares and Employmen. NBER Working Paper; Social Science Electronic Publishing. Inc.: Rochester, NY, USA.
5. Agarwal, S., Punn, N. S., Sonbhadra, S. K., Tanveer, M., Nagabhushan, P., Pandian, K. K., & Saxena, P. (2020). Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review. arXiv preprint arXiv:2005.11507.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献