Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/66414
Título: | Improving work allocation practices in business processes supported by BPMS |
Autor(es): | Uahi, Robbie Pereira, José Luís Varajão, João |
Palavras-chave: | BPMS Human resources Personality Assessment Frameworks Task allocation |
Data: | 2018 |
Editora: | Springer Verlag |
Revista: | Advances in Intelligent Systems and Computing |
Resumo(s): | BPMS (Business Process Management Systems) are responsible for the execution of business process models, by delivering work activities to suitable agents (human or automatisms) that execute them. During the design-time, modelers have to specify the potential performers of a work activity according to their organizational position or role. Once several workers may share the same role, during run-time all of them can be assigned by BPMS to execute a work activity. However, distinct persons have different personality traits and, in a specific piece of work (for instance, requiring special teamwork skills), some of them can perform better than others. Addressing a gap in theory and practice of BPMS, in this paper we present a new approach that enables BPMS to assign (in run-time) the most suitable workers to perform specific work activities, grounded on the concept of psychological profile and taking into account technical, human and social aspects. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/66414 |
ISBN: | 9783319777023 |
DOI: | 10.1007/978-3-319-77703-0_96 |
ISSN: | 2194-5357 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | DSI - Engenharia e Gestão de Sistemas de Informação |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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WorldCIST Final Paper.pdf Acesso restrito! | 111,65 kB | Adobe PDF | Ver/Abrir |