Gig Work Business Process Improvement

被引:1
作者
Pustulka-Hunt, Ela [1 ]
Telesko, Rainer [1 ]
Hanne, Thomas [1 ]
机构
[1] Univ Appl Sci & Arts Northwestern Switzerland, Sch Business, Olten, Switzerland
来源
2018 6TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL AND BUSINESS INTELLIGENCE (ISCBI 2018) | 2018年
关键词
sentiment analysis; Business Process Modeling and Notation; business process improvement; gig work;
D O I
10.1109/ISCBI.2018.00013
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We collaborate with a gig work platform company (GPC) in Switzerland. The project aims to improve the business by influencing process management within the GPC, providing automated matching of jobs to workers, improving worker acquisition and worker commitment, and particularly focusing on the prevention of no shows. One expects to achieve financial, organizational and efficiency gains. As research tools we use a combination of text mining and sentiment analysis, Business Process Modeling and Notation (BPMN), interviews with workers and employers, and the design of sociotechnical improvements to the process, including platform improvements and prototypes. Here, we focus on the successful combination of BPMN modelling with sentiment analysis in the identification of problems and generation of ideas for future modifications to the business processes.
引用
收藏
页码:10 / 15
页数:6
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