2013
DOI: 10.1007/978-3-642-40176-3_21
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Accelerating Collaboration in Task Assignment Using a Socially Enhanced Resource Model

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Cited by 12 publications
(15 citation statements)
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“…Such information can also be used to extract team structure [18]. Social network-based work allocation mechanisms that make use of the social graph of interactions among workers for making assignments have been developed in [12].…”
Section: Related Work and Theorymentioning
confidence: 99%
See 1 more Smart Citation
“…Such information can also be used to extract team structure [18]. Social network-based work allocation mechanisms that make use of the social graph of interactions among workers for making assignments have been developed in [12].…”
Section: Related Work and Theorymentioning
confidence: 99%
“…Our work also fits into the broader area of work distribution and resource allocation studied in business process management (e.g. [4], [8], [11], [12], [16]), but our main focus lies in patterns of handoffs across countries. To enable our work, we use an IT support dataset from an international company with global operations.…”
Section: Introductionmentioning
confidence: 99%
“…A few resource allocation methods have used logs, enabling dynamic resource allocation. Resource knowledge including expertise, social power, and community was mined from event logs, so a highly flexible and efficient team was created dynamically when a new task arrived [33]. Reinforcement learning was chosen to analyze the feedback at run-time and adjust resource allocation accordingly, thus streamlining the process [34].…”
Section: Dynamic Resource Optimizationmentioning
confidence: 99%
“…Most of these approaches aim to support the identification and allocation of expertise in a social network environment for a better business process design. For example, Liu et al [15] presented a novel resource model that incorporates the concepts of resource communities and social positions to facilitate the identification of required knowledge and skills. Schall, et al [16] proposed a ranking method based on Hyperlink-Induced Topic Search algorithm to estimate the expertise of knowledge workers in a social network.…”
Section: What Is Social Bpm?mentioning
confidence: 99%