Understanding the Self-Efficacy of Data Scientists

被引:1
|
作者
Louro, Alamir Costa [1 ]
Brandao, Marcelo Moll [2 ]
Sincora, Larissa Alves [3 ]
机构
[1] Univ Fed Espirito Santo, Vitoria, ES, Brazil
[2] Univ Fed Espirito Santo, UFES, Vitoria, ES, Brazil
[3] Univ Fed Espirito Santo, UFES, Adm, Vitoria, ES, Brazil
关键词
Coping Theory; Data Scientist; Self-Efficacy; Technology Adoption; BIG DATA; INFORMATION-TECHNOLOGY; BUSINESS INTELLIGENCE; UNIFIED THEORY; ANALYTICS; ACCEPTANCE; MANAGEMENT;
D O I
10.4018/IJHCITP.2020040104
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The self-efficacy of Brazilian data scientists' professional profiles was analyzed to launch new views on this profession, marked by fast technological changes and with a body of knowledge and an incommensurable scope of skills, as understood by these professionals. A grounded theory was built using a qualitative approach. It found the coping theory to explain the phenomenon after the emergence of self-preservation, as an adaptation strategy, and self-efficacy, as a striking feature of the profession. A practical implication is that self-efficacy has trade-offs both to threats and opportunities in the process of becoming a data scientist. The present article describes the value of the coping theory makes possible an in-depth view of the analytical expertise influence on threats and opportunities, and on technology adaptation choices.
引用
收藏
页码:50 / 63
页数:14
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