2016
DOI: 10.5937/ejae13-11663
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Leveraging process data from BPM cloud-based workflows

Abstract: Abstract:This paper shares the experience of a virtual team of knowledge workers which coordinates its repetitive production work across 12 time zones using cloud-based workflows. A sample of process data and the utility that can be obtained from it are discussed, and recommendations are provided for the management of virtual teams using cloud-based workflows. In addition, possible directions for future research relating to virtual knowledge work teams using cloud workflows are suggested. Some references to re… Show more

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“…1 However, analysis of existing research in the field of AI application in HRM showed a slight fear, as well as lack of understanding and clarity to what extent AI can be applied among existing business functions that employees use every day. In contrast, Jatobá et al (2019) suggested a need for multidisciplinary working teams of technical engineers and HRM specialists, while Conchúir & Dražeta (2016) showed effective data leveraging process using cloud-based workflows shared between virtual teams due to contemporary technological advances. Hence, this paper attempts to review the existing state of the implemented AI applications and propose a framework for the levels of AI application in HRM systems.…”
Section: Introductionmentioning
confidence: 97%
“…1 However, analysis of existing research in the field of AI application in HRM showed a slight fear, as well as lack of understanding and clarity to what extent AI can be applied among existing business functions that employees use every day. In contrast, Jatobá et al (2019) suggested a need for multidisciplinary working teams of technical engineers and HRM specialists, while Conchúir & Dražeta (2016) showed effective data leveraging process using cloud-based workflows shared between virtual teams due to contemporary technological advances. Hence, this paper attempts to review the existing state of the implemented AI applications and propose a framework for the levels of AI application in HRM systems.…”
Section: Introductionmentioning
confidence: 97%