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1.
CEUR Workshop Proceedings ; 3389:201-210, 2022.
Article in English | Scopus | ID: covidwho-20239440

ABSTRACT

During crises such as COVID-19, there is a need to adapt existing work processes and teams to the changing environment in a very flexible and dynamic way in many business and healthcare organizations. In this paper, we conceptualize the advances required for Process-Oriented Case-Based Reasoning to flexibly and dynamically organize human resources in a team and work processes. The novel contributions of this paper include an extended case representation to represent resources, profiles, and key performance indicators (KPIs) of processes, a query definition which covers the "context”, and an overall process to flexibly and dynamically organize work processes and human resources. We evaluate the FlexiTeam process using a cooking recipe casebase and analyze the quality of the retrieval using a quality measure. We also derive the research questions that need to be addressed to fully explore this approach and the specific difficulties involved in solving this problem. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings (CEUR-WS.org)

2.
21st IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2022 ; 13454 LNCS:391-402, 2022.
Article in English | Scopus | ID: covidwho-2048115

ABSTRACT

Post COVID-19 pandemic, sports events and sports activities have been severely affected. The mega sports events were either postponed or held in the absence of live audience. Through this study we investigate the progressive use of social media by fans and other stakeholders to express their support to favorite sports teams, athletes, coaches, sports organizations, sponsors and more during COVID-19. UEFA Euro 2020 was conducted across 12 countries with an intent to show unity and bring normalcy in sports business during the third wave of COVID-19. Hashtag analysis and mention analysis have been performed to find sports teams, athletes or other stakeholders that were directly being discussed about by the fans. We also focused on tweet context annotations that provide entities as pairs of domain and entity collected from tweets’ text. Our results indicated that hashtags and mentions alone cannot substantially justify the popularity of any entity. Thus, from the point of view of identifying any athlete, team, organization or any sponsor as a brand, tweet context annotations can be valuable from the perspective of E-Branding, E-Marketing and E-Commerce. © 2022, IFIP International Federation for Information Processing.

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