Recruiting and Job Search Technologies in the Age of Internet

Roshchin, Sergey; Solntsev, Sergey; Vasilyev, D. A.

doi:10.17323/2500-2597.2017.4.33.43

Cited by 14 publications

(9 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Since then job search mechanisms have evolved. While personal contacts remain important, in 2014 76 per cent of Russian firms and 49 per cent of job seekers (77 per cent in Moscow and St. Petersburg) used web sites for job search (Roshchin, Solntsev and Vasilyev, 2017). In this respect, Russia is not very different from many Western countries.…”

Section: Discussionmentioning

confidence: 99%

Ethnic Discrimination in Multi-ethnic Societies: Evidence from Russia

Alexey¹,

Andrey²

2018

Preprint

View full text Add to dashboard Cite

Field experiments have provided ample evidence of ethnic and racial discrimination in the labour market. Less is known about how discrimination varies in multi-ethnic societies, where the ethnic composition of populations is different across locations. Inter-group contact and institutional arrangements for ethnic minorities can mitigate the sense of group threat and reduce discrimination. To provide empirical evidence of this, we conduct a field experiment of ethnic discrimination in Russia with a sample of over 9,000 job applications. We compare ethnically homogeneous cities and cities with ethnically mixed populations and privileged institutional status of ethnic minorities. We find strong discrimination against visible minorities in the former but much weaker discrimination in the latter. These findings demonstrate how institutions and historical contexts of inter-group relations can affect ethnic prejudice and discrimination.

show abstract

Section: Discussionmentioning

confidence: 99%

Ethnic Discrimination in Multi-ethnic Societies: Evidence from Russia

Alexey¹,

Andrey²

2018

Preprint

View full text Add to dashboard Cite

show abstract

“…According to research on the LinkedLn social network, more than 75% of candidates study the company's reputation before submitting their resume (cited based on FinAssesment platform data) [9]. At the same time, 69% of candidates are not ready to get a job in the company if its image and reputation do not meet the stated requirements.…”

Section: Methodsmentioning

confidence: 99%

HR innovation risk assessment

2020

View full text Add to dashboard Cite

The purpose of the study is to identify the risks of automation and robotization of personnel management systems, the pace of which is increasing and it needs a balanced approach to their use, taking into account the well-known and new risks and constraints. Systematic automation of routine processes leads to a change in the structure of the workflow, making it possible to shorten the production cycle and improve the quality of standard operations with a predictable result, but it does not consider mental and social constraints. The author analyzes the main trends and innovations related to digital resources in personnel selection and management, giving new horizons for career paths, defines the essence of each of selection tools, reveals the existing and future threats in using artificial intelligence in the most common automated HR systems and modern digital instruments with signs of artificial intelligence. The classification of digital tools used in personnel selection was developed, and the possibilities of using these tools in the professional and service career development were analyzed. There is a strong need to formulate a strategic development model of the company using information systems that integrate corporate knowledge bases and the intelligent decision support system, which can eventually be transformed into the individual human development.

show abstract

“…Otros autores como Gürtzgen et al, (2021) en Alemania, y Roshchin et al, (2017) en Rusia, analizaron cómo la era del internet y la información digital han impactado los canales de búsqueda de empleo; ambos estudios concluyen que el internet se ha convertido en una herramienta eficiente y de creciente uso no solo de desempleados en busca de trabajo, sino también de empresas en busca de trabajadores con mejores características productivas. En Francia, las personas con mayores niveles de educación y que ya han trabajado antes, prefieren buscar empleos a través de internet (Mussida y Zanin, 2020).…”

Section: Fundamentos Teóricosunclassified

Determinantes de la probabilidad para acceder a un empleo en una de las ciudades con mayor desempleo de Colombia

Losada

Polanco

Moreno

2022

ANF

View full text Add to dashboard Cite

Objetivos: en este artículo se estudian los principales canales de búsqueda de empleo en Neiva, ciudad caracterizada por tener la mayor tasa de desempleo de Colombia. El propósito fundamental es analizar los factores que se relacionan con el uso de canales formales e informales de búsqueda de empleo en Neiva. Metodología: para lograrlo, se estimó un modelo econométrico de variable dependiente limitada Probit, teniendo en cuenta características demográficas, laborales y socioeconómicas que puedan incidir en la elección del medio de búsqueda de empleo. Resultados: dentro de los principales resultados se destaca que, a mayores niveles educativos, mayor es la probabilidad de acceder a un empleo a través de un canal de búsqueda formal, así mismo, a mayores estratos socioeconómicos, menor es la probabilidad de encontrar empleo a través de canales formales. Conclusión: los individuos con condiciones socioeconómicas más favorables, generalmente hacen parte de redes de contactos más amplias, que les permiten acceder al mercado laboral de manera más fácil, a través de los canales informales de búsqueda de empleo.

show abstract

Recruiting and Job Search Technologies in the Age of Internet

Cited by 14 publications

References 8 publications

Ethnic Discrimination in Multi-ethnic Societies: Evidence from Russia

Ethnic Discrimination in Multi-ethnic Societies: Evidence from Russia

HR innovation risk assessment

Determinantes de la probabilidad para acceder a un empleo en una de las ciudades con mayor desempleo de Colombia

Contact Info

Product

Resources

About