Professional Service Jobs: Highly Paid but Subject to Disruption?
| Autor: | Scott E. Sampson |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Marketing
ComputingMilieux_THECOMPUTINGPROFESSION media_common.quotation_subject 05 social sciences Subject (documents) Workforce management Management Science and Operations Research Modeling and Simulation Service (economics) 0502 economics and business 050211 marketing Business Business and International Management 050203 business & management media_common |
| Zdroj: | Service Science. 10:457-475 |
| ISSN: | 2164-3970 2164-3962 |
| DOI: | 10.1287/serv.2018.0227 |
| Popis: | Professional service jobs are attractive because they pay well and, because of advanced skill requirements, have been relatively resistant to disruption. This research considers the potential for highly skilled professional jobs to be taken over by less-skilled workers, perhaps with the assistance of advanced artificial intelligence technologies. We consider jobs in healthcare, higher education, legal services, and management and show some areas in which less-professional workers may be able to do the work of more professional counterparts. We specifically focus on two types of job characteristics that other research suggests inhibit automation and justify advanced professional training. The first is low task structure with less-structured tasks being more likely to require professional attention and less likely to be performed by less-trained workers or by automation. The second is high decision impact, supposing that high-impact jobs are more likely to justify the higher pay of professional workers. Our empirical results show that professional jobs, in some ways, are distinct and require the advanced training that leads to higher pay. In other ways, it appears that paraprofessionals who are paid less could do the professional jobs. Professional jobs may not be as disruption-resistant as was previously thought. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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