Professionalization of Vocational Roles of Public Employment Services Employees in Europe Through Competency Profiling

Sienkiewicz, Łukasz

doi:10.7172/1644-9584.61.6

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Wireless Communications and Mobile Computing between employees and their clients, other professionals and the public. Literature [22] further said that the responsibility of social workers is directly generated from the economic structure of modern society. This is why the degree of professionalization of social work is very low in rural societies or underdeveloped countries with low urbanization.…”

Section: Related Workmentioning

confidence: 99%

Decision-Making Model of Social Work Specialization Process Using Big Data Analysis and Chaos Cloud

Chen

2022

Wireless Communications and Mobile Computing

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Big data and mobile edge computing information technology have revolutionized traditional industries’ development. The organic integration of community social work and big data technology will undoubtedly promote the growth of community social work services, thanks to the new information technology platform for big data. In terms of the future of big data-driven social work, it is primarily reflected in the following: in the application of social work, big data can acquire and update real human behavior data in real time, and eliminating the need for subjects’ subjective reports in the data collection process; It can also provide a basis for public decision-making, which is worthy of our active exploration and innovation, provide efficient and accurate technical means for risk population assessment and crisis intervention and have a more accurate and intuitive grasp of the temporal and spatial distribution of service personnel and basic social service facilities. The core of professionalization of social work is improving the post-setting system for social workers in our country, improving their treatment, and strengthening the construction of professional ethics for social workers in our country. A big data social workflow adaptive scheduling optimization algorithm based on the chaotic cloud diversion mechanism is proposed to address the problems of high costs, poor time convergence performance, and poor cost accounting quality in the current social workflow adaptive scheduling optimization algorithm. As an important part of social governance, social work accelerates the process of social work specialization to improve decision-making efficiency.

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Section: Related Workmentioning

confidence: 99%

Decision-Making Model of Social Work Specialization Process Using Big Data Analysis and Chaos Cloud

Chen

2022

Wireless Communications and Mobile Computing

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Design of the Platform Solutions to Increase the Employability and E-Learning Opportunities for Low Skilled Women

Rutkauskiene

Volodzkaite

2020

Communications in Computer and Information Science

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Professionalization of Vocational Roles of Public Employment Services Employees in Europe Through Competency Profiling

Cited by 2 publications

References 2 publications

Decision-Making Model of Social Work Specialization Process Using Big Data Analysis and Chaos Cloud

Decision-Making Model of Social Work Specialization Process Using Big Data Analysis and Chaos Cloud

Design of the Platform Solutions to Increase the Employability and E-Learning Opportunities for Low Skilled Women

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