Extended Workforce Ecosystems: Intelligent Bots and Freelancers with Employee ID Cards Are Changing the Workforce Paradigm

Ladislava Knihová () and Otakar Nìmec ()
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Ladislava Knihová: University of Finance and Administration
Otakar Nìmec: The Prague University of Economics and Business

ACTA VSFS, 2023, vol. 17, issue 1, 73-92

Abstract: In today's digital age, organizations increasingly leverage an extended workforce ekosystém incorporating freelancers and even intelligent bots with employee ID cards to bolster their operations. This article examines the advantages and challenges of these ecosystems, offering a roadmap for organizations to effectively navigate the shift towards hybrid and fully remote working models. The successful realization of this transition heavily relies on the shared attitude towards education and learning within the extended workforce ecosystem. Drawing upon data obtained from the observational study MML-TGI, the aim of which is to assess and interpret the adoption levels of educational content and identify sociodemographic segments of consumers suitable for targeted educational content, this article presents insights into the current population attitudes towards education and learning, which hold crucial implications for designing employee training programs. The primary objective of this article is to provide organizations with comprehensive and research-based knowledge, enabling them to transition from reactive ad hoc remote work arrangements to a more sustainable and effective hybrid work approach. By acting as a bridge to the future, this study facilitates the transformation towards a strategic and intentional approach to hybrid working models that align with the needs of both employees and the organization.

Keywords: digital competency framework; extended workforce; hybrid work models; intelligent bots; remote work; strategic remote work arrangements (search for similar items in EconPapers)
JEL-codes: I31 M53 P46 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:prf:journl:v:17:y:2023:i:1:p:73-92

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