Analyzing Social Media Data for Recruiting Purposes

Böhmová, Lucie; Chudán, David

doi:10.18267/j.aip.111

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Research on climatology has been conducted also by applying CRISP-DM and KDD as a combination to improve the data mining result [32]. Another research on social media analysis has shown a result that CRISP-DM made the data mining processes gave a better result to perform the favorite TV series classification by applying the Decision Tree algorithm [36].…”

Section: Data Mining Methodologymentioning

confidence: 99%

A Study Review of Common Big Data Architecture for Small-medium Enterprise

Septian¹,

Abdillah²,

Aliyudin³

2020

Proceedings of the Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 20

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This paper will be composed by conducting a document review and collect papers that related to big data solution and infrastructure. The survey is trying to cover the phases for building a common big data pipelines by following these structures: enterprise vision and mission that affect the big data architecture, defining the data sources, building the backend services to collect the datapoint from the data sources, utilize the data pipeline to prevent data loss, consuming the data pipeline message and deliver it to the data storage, build the raw data storage, define business-driven data visualization and analytics, build the ETL, build business-oriented data storage, applying statistical and machine learning, perform the business-driven visualization and implementing the monitoring for the big data pipelines. The survey will emphasize that many big data components could help the small-medium enterprise to tackle their big data operational issues.

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Section: Data Mining Methodologymentioning

confidence: 99%

A Study Review of Common Big Data Architecture for Small-medium Enterprise

Septian¹,

Abdillah²,

Aliyudin³

2020

Proceedings of the Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 20

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“…As Böhmová and Chudán (2018) point out, in recruitment social media networks offer a solution that is innovative and potentially cost-effective. Social media networks are a virtual space with a huge potential as it is a space where people voluntarily share personal information, which can be used as a way to contact them (Böhmová & Chudán, 2018). People using social media in recruitment need to have social media awareness including the knowledge of how to use and analyse the data they get, and to understand the principles of social media network and communication.…”

Section: Merits and Demerits Of Technologies In Hrmentioning

confidence: 99%

Digitally-Powered Human Resource Management: Skills and Roles in the Digital Era

Mazurchenko¹,

Maršíková²

2019

AIP

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Digitalization in human resource management helps enterprises to modernize HR functions and provides them with a competitive advantage. At the same time, it requires a change in working style and entails a change in the demand for HR competencies. The purpose of this paper is to introduce the phenomenon of digitalization in the literature, explore its current key benefits and risks, and analyse its influence on HR professionals´ competencies and roles. The qualitative research includes an analysis of the secondary data describing the existing level of digital skills based on the reactions of more than 7,000 respondents from six EU member states (Germany, Finland, United Kingdom, Portugal, Sweden, and Slovakia). The primary data analysis concerning HR social media competencies collected in five European countries which participated in the SHARPEN project is also presented here. The current trends in HR professional competencies are also described in this paper. The results obtained show that HR professionals tend to be slightly reluctant to adopt technology. The results also confirmed the importance of digitalization for human resources and the increasing demand for digital skills in recent years.

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Competencies for the artificial intelligence age: visualisation of the state of the art and future perspectives

Santana

Díaz-Fernández

2022

Rev Manag Sci

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The objective of this paper is to perform an in-depth analysis of the literature on the competencies for implementing and leveraging artificial intelligence (AI) within organisations. From a bibliometric study using SciMat with articles from the Web of Science database, we identified 421 papers published between 1992 and 2020. This study offers a systematisation of the competencies and skills for AI, highlighting the most prominent, basic, specialised and emerging themes, and providing a performance measure analysis of this field. In addition, major challenges and a research agenda are discussed. The organisational challenge is to achieve a workforce with the necessary digital competencies, and to adapt human resource management practices to AI challenges.

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Analyzing Social Media Data for Recruiting Purposes

Cited by 5 publications

References 11 publications

A Study Review of Common Big Data Architecture for Small-medium Enterprise

A Study Review of Common Big Data Architecture for Small-medium Enterprise

Digitally-Powered Human Resource Management: Skills and Roles in the Digital Era

Competencies for the artificial intelligence age: visualisation of the state of the art and future perspectives

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