Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add filters

Language
Document Type
Year range
1.
Accounting, Finance, Sustainability, Governance and Fraud ; : 169-184, 2023.
Article in English | Scopus | ID: covidwho-2323948

ABSTRACT

In this paper, the perception of COVID-19 situation amongst coaching, mentoring, and supervision practitioners is analyzed based on the survey conducted by European Mentoring Coaching Council (EMCC Global) with the participation of (476) people from various countries. Based on the data obtained, ‘word cluster analysis-emotional text mining' and ‘correlation analysis' are performed. The major empirical findings are summarized as follows: firstly, correlations are calculated among the most repetitive words in the statements of participants by using the Euclidian distance approach. In this respect, participants describe COVID-19 related feelings with the most frequent words they use as coaching, work, anxiety, clients, working, fear, time, business, home, and stress respectively. This indicates that COVID-19 epidemic related issues leads participants to think about their clients. They have the most common feelings of anxiety, stress, and fear at work, business and home. They are sensitive about the time as well. Secondly, cluster dendrogram is applied and this indicates that there are five major categories defined with strong correlation between them such that: coaching, work, anxiety, change, issues, crisis, will, managing, new, people, management, client, working, fear, uncertainty, future, time, stress, business, home. In conclusion, policy recommendations are made regarding the pandemic period all over the world in order to contribute relevant literature based on the empirical findings of EMCC Global's survey. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

2.
Online Information Review ; 2023.
Article in English | Scopus | ID: covidwho-2191599

ABSTRACT

Purpose: In this article, the authors analyse the impact of the 2020 lockdown and the subsequent measures to contain the spread of COVID-19 in Italy in the hospitality industry by looking at the social demands brought forward by the restaurant sector. Design/methodology/approach: To analyse social demands, the authors choose Twitter as an observation point using two hashtags as keywords to scratch the data: #iononriapro and #ioapro, which correspond to two different instances conveyed by the same subject: the restaurant sector. The instances linked to the hashtags produced different levels of engagement and penetration within the social structure and digital platform. To analyse the first block of data linked to the first hashtag-flag #iononriapro, the authors used content analysis. To analyse the second and third block of data linked to the hashtag-flag #ioapro, the authors used an automatic procedure, emotional text mining. Findings: The analysis procedures allow us to reconstruct the positioning of the topics of closures and reopenings due to lockdown in this sector and to identify two explanatory dimensions: structural and affective, which explain the tension that has emerged between the State and the restaurant sector around COVID-related closures. Originality/value: The study's findings not only contribute to the current understandings of the birth, transformation and penetration of social issues by the restaurant sector over the specific period linked to the COVID-19 pandemic and the measures imposed for its containment but are also valuable to analyse the dynamics through which Twitter hashtags and the social issues they represent find strength or lose interest in the public. © 2022, Emerald Publishing Limited.

3.
Revista Espanola De Sociologia ; 31(4), 2022.
Article in English | Web of Science | ID: covidwho-2082593

ABSTRACT

Hashtag research has established itself as a relevant research field, with various studies having analysed this polysemic collector in crisis and media events. Hashtags are used in social media, most specifically on Twitter. Further, between 2020 and 2021, hashtag studies linked to the COVID-19 pandemic have emerged. Accordingly, this study aimed to analyse the content of tweets during the first phase of the COVID-19 pandemic (March 4-11, 2020) that included the hashtag #Covid-19 in three different languages: Italian, Spanish, and French. For these analyses, we used emotional text mining. The goal of this study was to reconstruct the representation of the pandemic, of containment measures, and of Europe in tweets. We discussed the prevailing attitude towards Europe in times of crisis.

SELECTION OF CITATIONS
SEARCH DETAIL