Dataset Information

Coworking spaces as talent hubs: The imperative for community building in the changing context of new work

ABSTRACT: Coworking spaces are flexible and shared work environments that make a significant effort to connect users with supportive networks that commonly result in efficient work outputs, a high level of collaboration and knowledge transfer. Recent years have seen swift growth and popularisation of the coworking model, making these spaces an integral part of local entrepreneurial ecosystems and transforming them into the localised pools of specialised talent. However, little research has been conducted to understand the role of human talent in coworking spaces, indicating a knowledge gap in human resource management and the role of contemporary coworking environments. Therefore, the purpose of the following paper is to contextualize coworking spaces as (local) talent hubs by investigating how they tend to build their identity on their userbase. The manuscript explores the managerial practices and mediation techniques by presenting empirical evidence and subsequent analysis of talent attraction and retention mechanisms commonly used in coworking environments. The study shows that by facilitating interaction and collaboration between users, coworking spaces offer support throughout the business life cycle and identify themselves as local accelerators of entrepreneurship and talent development within their local environments.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11846-021-00487-4.

SUBMITTER: Orel M

PROVIDER: S-EPMC8349705 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:This data article describes a panel dataset that combines flexible office space market data with entrepreneurial data, such as founding and funding of ventures in 47 European cities. One adaption of new ways of working are coworking spaces. They are shared working environments that offer office space and intangible resources, such as knowledge sharing, collaboration and networking. Access to flexible office space for self-employed, start-ups, and corporates is a key resource for businesses. Covid-19 has shown that space provision is becoming more flexible and ventures increasingly use scalable space instead of long-term lease agreements for office space or than owning it. Deskmag counts 18,700 coworking spaces worldwide in the year of 2018 with 1.65 million coworkers and high future growth expectations after COVID-19 [1]. Data were collected through two sources. Data about coworking spaces were collected through a web scraper crawling for coworking spaces within a city as of December 31, 2018. Those data were manually enriched by real estate and economic variables, such as the office high prime rent and office market size. Data about the funding and founding of ventures were obtained through using the database Crunchbase, including all start-ups in a city with their type of funding (including: seed, venture capital, private equity, debt convertibles and others) and their financing rounds. The Crunchbase database lists mostly young firms, commonly called start-ups and small medium enterprises (SME), and their financing with external funding. It includes firms that have needed or might need funding in the near future, or have already got funding. Hence, it is possible to relate spatial clusters with entrepreneurial activity and analyze for example the influence of (flexible) office markets on founding activity. This dataset enables researchers and practitioners to further explore important questions regarding the nexus between the real estate industry, entrepreneurship behavior, start-ups and regional clusters. Due to the scarcity of publicly available quality flexible office space market data, the dataset detailed in this article may play a relevant role to be ready to be used by researchers and practitioners. Funding data can be used for regional analysis, growth development, or any other economic issues.

Project description:BackgroundIn the post-genomic era, a central and overarching question in the analysis of protein-protein interaction networks continues to be whether biological characteristics and functions of proteins such as lethality, physiological malfunctions and malignancy are intimately linked to the topological role proteins play in the network as a mathematical structure. One of the key features that have implicitly been presumed is the existence of hubs, highly connected proteins considered to play a crucial role in biological networks. We explore the structure of protein interaction networks of a number of organisms as metric spaces and show that hubs are non randomly positioned and, from a distance point of view, centrally located.ResultsBy analysing how the human functional protein interaction network, the human signalling network, Saccharomyces cerevisiae, Arabidopsis thaliana and Escherichia coli protein-protein interaction networks from various databases are distributed as metric spaces, we found that proteins interact radially through a central node, high degree proteins coagulate in the centre of the network, and those far away from the centre have low degree. We further found that the distribution of proteins from the centre is in some hierarchy of importance and has biological significance.ConclusionsWe conclude that structurally, protein interaction networks are mathematical entities that share properties between organisms but not necessarily with other networks that follow power-law. We therefore conclude that (i) if there are hubs defined by degree, they are not distributed randomly; (ii) zones closest to the centre of the network are enriched for critically important proteins and are also functionally very specialised for specific 'house keeping' functions; (iii) proteins closest to the network centre are functionally less dispensable and may present good targets for therapy development; and (iv) network biology requires its own network theory modelled on actual biological evidence and that simply adopting theories from the social sciences may be misleading.

Dataset Information

Coworking spaces as talent hubs: The imperative for community building in the changing context of new work

Supplementary Information

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets