What's a robot doing in the Citizen Service Centre?

Author(s):  
Søren Tranberg Hansen ◽  
Karl Damkjær Hansen
Impact ◽  
2018 ◽  
Vol 2018 (1) ◽  
pp. 15-17
Author(s):  
Shan-Hsiang Shen

2020 ◽  
Vol 30 ◽  
pp. 92-96
Author(s):  
Triana Indrayani ◽  
Sukri Palutturi ◽  
Ridwan Amiruddin ◽  
Muhammad Syafar ◽  
Agus Bintara Birawida ◽  
...  

2015 ◽  
Vol 103 (5) ◽  
pp. 500-517 ◽  
Author(s):  
Angela Lamarca ◽  
Daisuke Nonaka ◽  
Cristina Lopez Escola ◽  
Richard A. Hubner ◽  
Sarah O'Dwyer ◽  
...  

2021 ◽  
Author(s):  
A. Abashah ◽  
M. F. A. Yaziz ◽  
S. U. Naiemah ◽  
M. A. A. Pozin ◽  
A. Z. Rozali
Keyword(s):  

Author(s):  
Yolanda Navarro-Abal ◽  
José Climent-Rodríguez ◽  
María López-López ◽  
Juan Gómez-Salgado

Having a job is an essential part of people’s development. Unemployment, on the contrary, is one of the most frustrating experiences of life with greater psychological consequences for people’s lives. In this sense, psychology has contributed to an increase in knowledge about the personal and social experience of unemployment. This article discusses indicators of anxiety and depression in unemployed people, modulating socio-demographic variables, and coping strategies involved in the higher and lower levels of anxiety and depression. For this, a sample of 244 unemployed people who are users of the Career Service Centre of the Andalusian Public Employment Service of the city of Huelva is used for a descriptive and analytical cross-sectional study. The results show that only 5.7% of the participants do not have depressive symptoms. With regards to anxiety levels, 41.3% of participants have no anxiety. Unemployed people with high anxiety and depression scores have developed maladaptive coping strategies such as substance use, self-blaming, or denial. It is necessary to assess the importance of the unemployment process and the incorporation of appropriate coping strategies that facilitate new integration in the labour market, such as planification, emotional or social support and self-distraction between others.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Dinesh Kumar ◽  
Dinesh Kumar ◽  
Dinesh Kumar

This paper attempts to deal with the identifying the service centers and calculation of the spatial arrangement with complementary area of service centres in Jaunpur district Jaunpur district of Uttar Pradesh. The study area is situated in Eastern Uttar Pradesh of the Middle Ganga Plain. The study is exclusively based on secondary data collected at block level from different offices. The centrality score has been calculated on the basis of three type of indices like functional centrality index, working population index and tertiary population index. There are 31 function or services selected judicially from five sectors (administrative, agricultural and financial, educational, health and transport and communication) to measure the centrality of service centre. The thissen polygon and berry breaking point method has been used for measure the complementary area. Total 88 service centres have been identified as first, second, third, fourth and fifth order service centre. The number of I, II, III, IV, and V order centres accounts for 43, 24, 16, 4, and 1 respectively.


Sign in / Sign up

Export Citation Format

Share Document