scholarly journals New technologies in the recruitment and selection process

2018 ◽  
Vol 13 (3) ◽  
pp. 219-232
Author(s):  
Celina SOŁEK-BOROWSKA ◽  
Maja Wilczewska
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Selection Process ◽  
Recruitment And Selection

Dobrze przeprowadzony proces rekrutacji jest niezwykle ważny dla organizacji, pozwala na dogłębną i obiektywną weryfikację kandydatów pod kątem spełnienia oczekiwań pracodawcy i ostatecznie prowadzi do ich zatrudnienia. Głównym celem artykułu jest analiza, w jaki sposób nowe technologie wpłynęły na proces rekrutacji. Proces rekrutacji zostanie przedstawiony na dwóch przykładach: mianowicie ItutorGroup i sieci luksusowych salonów odzieżowych. Rekrutacja w grupie ITutor opierała się wyłącznie na nowych technologiach z ograniczoną ingerencją czynnika ludzkiego. Strategia rekrutacji opierała się na rekrutacji wideo. Drugie studium przypadku opisuje współpracę między agencją doradztwa personalnego a luksusową siecią sprzedaży detalicznej, mającą na celu rekrutację i zatrudnianie sprzedawców w Polsce poprzez wprowadzenie działań Big Data w mediach społecznościowych oraz proces scoutingu. Wyniki wskazują, że e-rekrutacja przekształca tradycyjny proces rekrutacji w proces niezależny od czasu, oparty na współpracy. Najważniejsze zmiany są rejestrowane, istnieje zwiększona podzielność głównych zadań rekrutacyjnych. Głównym zadaniem rekrutera staje się komunikacja z kandydatami. Z drugiej strony w niektórych projektach rekrutacyjnych nie można polegać wyłącznie na nowych technologiach. Rekrutacja w postaci bezpośrednich kontaktów z potencjalnymi kandydatami wydłużyła proces w czasie, ale pozwoliła na uzyskanie „skrojonych na miarę” kandydatów przygotowanych i sprawdzonych w miejscu pracy. Strategia rekrutacji i selekcji oparta na nowoczesnych technologiach wymaga doświadczonego i kompetentnego zespołu, dwie niewątpliwe korzyści to: ograniczenie długości procesu w czasie i możliwość obniżenia kosztów.

scholarly journals New Technologies in the Recruitment Process

2018 ◽  
Vol 15 (2) ◽  
pp. 25-33
Author(s):  
Celina Sołek-Borowska ◽  
Maja Wilczewska
Keyword(s):  
New Technologies ◽  
Selection Process ◽  
Recruitment Strategy ◽  
Selection Strategy ◽  
Main Task ◽  
Recruitment Process ◽  
Recruitment And Selection ◽  
The Impact ◽  
Modern Technologies

Abstract Well-conducted recruitment and selection process is extremely important for the organization, permitting in-depth and objective verification of candidates in terms of meeting employer’s expectations and leads to their employment. Up to now, there has been little research on the impact of e-recruitment on the recruitment process as a whole. The present study fills part of this gap by investigating the effect of e-recruitment on the design of the recruitment process. Therefore, the main purpose of the paper is to analyze how new technology has influenced the recruitment process as a whole. The recruitment process will be presented on the example of ItutorGroup. The paper considers the possibilities of including modern technologies in the recruitment and selection strategies of the organization based on a case study method. The case study describes the project of cooperation of the Work Service personnel consultancy with the international organization ItutorGroup. Its selection and recruitment strategy was based on video-recruitment. The findings indicate that e-recruitment transforms the traditional recruitment process into a time- and space-independent, collaborative hiring process. The most significant changes are recorded in the sequence and increased divisibility of main recruitment tasks. For management, the main task is now that of communicating with candidates. Recruitment and selection strategy based on modern technologies requires an experienced and competent team, two unquestionable benefits are: limiting the length of the process in time and possibility to decrease the costs.

scholarly journals The Opportunity Presented by Technological Innovation to Attract Valuable Human Resources

2019 ◽  
Vol 11 (20) ◽  
pp. 5785 ◽  
Author(s):  
José-Luis Rodríguez-Sánchez ◽  
Antonio Montero-Navarro ◽  
Rocío Gallego-Losada
Keyword(s):  
Human Resources ◽  
Human Resource ◽  
Technological Innovation ◽  
New Technologies ◽  
Selection Process ◽  
Geographical Location ◽  
Sustainable Competitive Advantage ◽  
Hr Management ◽  
Recruitment And Selection

Technological innovation fostered by the use of the Internet and social networks in the business context requires the modification of the human resources (HR) management process to use the opportunities to obtain a sustainable competitive advantage. This paper analyzes the opportunities provided by technological innovation, which allows for the development of a new e-recruitment and selection process to access and attract valuable HR regardless of their geographical location. Adapting the traditional selection process, companies can incorporate new 2.0 selection techniques that generate an extraordinary improvement opportunity in human resource management. Given the need for members of the human resources department to master new technologies in order to maximize the benefits of e-recruitment and selection, the aim of this work is to carry out a case study in a leading company in the mechanical engineering sector. To this end, we will start by reviewing the literature. Then, the work offers a model of HR management considering the influence of technological innovation on the attraction of valuable human resources, integrating the previous theoretical contributions of experts in the field. Based on the observation of the case study, the results show the main factors, human resource practices, and management results and behaviors undertaken by a multinational company. The case study allows researchers to learn from professionals and business leaders and presents a roadmap that can be used to manage e-recruitment and selection.

DESIGN COMPUTER-BASED APPLICATION FOR RECRUITMENT AND SELECTION EMPLOYEE AT PT. INDONUSA TELEMEDIA

CCIT Journal ◽  
2011 ◽  
Vol 4 (2) ◽  
pp. 185-196
Author(s):  
Tri Pujadi
Keyword(s):  
Selection Process ◽  
Computer Based ◽  
Recruitment And Selection

This report contains about one of the applications that used by PT. Indonusa Telemedia. The function of this application to facilitate the recruitment and selection process of the company employee’s candidate. The process becomes more efficient because the application can organize the employee candidate data, interview status (proceed, hire, keep, and reject), and his comments based on the interview. The benefit for the company that uses this application is that they can increase their level of efficiency, such as in time and man labor. The level of efficiency can be increase because this application can sort the employee’s candidate data as the request of the department that request addition of employee and centralizing information in one application database.

Contemporary Employee Recruitment Practices and Areas of Future Research in Indian Railways

Think India ◽  
2019 ◽  
Vol 22 (2) ◽  
pp. 745-763
Author(s):  
Akhila Rao ◽  
Shailashri V. T ◽  
Molly Sanjay Chaudhuri ◽  
Kondru Sudheer Kumar
Keyword(s):  
Selection Process ◽  
Secondary Data ◽  
Manpower Planning ◽  
Future Research ◽  
Technological Advancement ◽  
Employee Recruitment ◽  
Recruitment Practices ◽  
Modern Business ◽  
The Government ◽  
Recruitment And Selection

The modern business milieu is highly competitive due to vast technological advancement which makes employees a vital source of competitive advantage. Precisely, the recruitment process has become a key determinant of an organization’s success and a logistic capital resource to the human resource; thus, the process should be entirely modern. A conventional recruitment and selection process comprises of job analysis, manpower planning, and recruitment and selection. The current study seeks to explore employee recruitment practices and proposes areas of future research in Indian Railways using secondary data. It also gives recommendations on how to improve the recruitment practices in the government-owned Indian Railways. The trends investigated in the study include the applicant tracking software (ATS), use of video resumes, Chatbots, the utilization of social networks, and increased focus on passive candidates.

scholarly journals The Impact of Big Data on Electronic Commerce in Profit Organisations in Saudi Arabia

2019 ◽  
Vol 10 (4) ◽  
pp. 106
Author(s):  
Bader A. Alyoubi
Keyword(s):  
Saudi Arabia ◽  
Big Data ◽  
Inventory Management ◽  
New Technologies ◽  
Predictive Analytics ◽  
Business Environment ◽  
Primary Data ◽  
Research Approach ◽  
Multiple Sources ◽  
The Impact

Big Data is gaining rapid popularity in e-commerce sector across the globe. There is a general consensus among experts that Saudi organisations are late in adopting new technologies. It is generally believed that the lack of research in latest technologies that are specific to Saudi Arabia that is culturally, socially, and economically different from the West, is one of the key factors for the delay in technology adoption in Saudi Arabia. Hence, to fill this gap to a certain extent and create awareness about Big Data technology, the primary goal of this research was to identify the impact of Big Data on e-commerce organisations in Saudi Arabia. Internet has changed the business environment of Saudi Arabia too. E-commerce is set for achieving new heights due to latest technological advancements. A qualitative research approach was used by conducting interviews with highly experienced professional to gather primary data. Using multiple sources of evidence, this research found out that traditional databases are not capable of handling massive data. Big Data is a promising technology that can be adopted by e-commerce companies in Saudi Arabia. Big Data’s predictive analytics will certainly help e-commerce companies to gain better insight of the consumer behaviour and thus offer customised products and services. The key finding of this research is that Big Data has a significant impact in e-commerce organisations in Saudi Arabia on various verticals like customer retention, inventory management, product customisation, and fraud detection.

scholarly journals From Bulletin Boards to Big Data

2021 ◽  
Vol 50 (1) ◽  
pp. 39-62
Author(s):  
Christian Göbel ◽  
Jie Li
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Central Government ◽  
Developmental Trajectory ◽  
Credit System ◽  
Feedback Systems ◽  
Social Credit ◽  
Bulletin Boards ◽  
Local Decision ◽  
Set Up

Why do Chinese governments at various levels set up public complaint websites where citizen petitions and government responses can be reviewed by the general public? We argue that it is the result of two factors: strong signals sent by the central government to improve governance, and the availability of new technologies to promote policy innovation. To impress their superiors, local officials adopted newly available commercial technology to innovate existing citizen feedback systems, which presented a developmental trajectory from “openness,” “integration,” to “big data-driven prediction.” Drawing on policy documents and interviews with local politicians and administrators, we provide a chronological perspective of how technical development, central government’s signals and local decision-making have interacted in the past two decades to bring forth today’s public complaint websites. The contingent and non-teleological nature of this development can also be applied to other policies such as the social credit system.

Evolution of e-participation in Greek local government

2021 ◽  
pp. 1-15
Author(s):  
Constantina Costopoulou ◽  
Maria Ntaliani ◽  
Filotheos Ntalianis
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Local Government ◽  
Local Governments ◽  
Local Community ◽  
New Technologies ◽  
Mobile Apps ◽  
Digital Technologies ◽  
Decision Making Processes ◽  
The Impact

Local governments are increasingly developing electronic participation initiatives, expecting citizen involvement in local community affairs. Our objective was to assess e-participation and the extent of its change in local government in Greece. Using content analysis for 325 Greek municipal websites, we assessed e-participation status in 2017 and 2018 and examined the impact of change between these years. The assessment regards two consecutive years since the adoption of digital technologies by municipalities has been rapid. The main findings show that Greek local governments have made significant small- to medium-scale changes, in order to engage citizens and local societies electronically. We conclude that the integration of advanced digital technologies in municipalities remains underdeveloped. We propose that Greek municipalities need to consider incorporating new technologies, such as mobile apps, social media and big data, as well as e-decision making processes, in order to eliminate those obstacles that hinder citizen engagement in local government. Moreover, the COVID-19 outbreak has highlighted the need for enhancing e-participation and policymakers’ coordination through advanced digital technologies.

Big Data in Cultural Tourism – Building Sustainability and Enhancing Competitiveness

2021 ◽  
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Value Chain ◽  
New Technologies ◽  
Cultural Tourism ◽  
End Users ◽  
Ethical Implications ◽  
Tourism Sector ◽  
Cultural Experiences ◽  
Selection Of

The use of big data is becoming increasingly important across the tourism sector and the value chain. With this publication, UNWTO intends to provide a baseline research on using big data by tourism and culture stakeholders, in order to improve the competitiveness of cultural tourism and reinforce its sustainability. The study sets the basis to connect tourism, culture and new technologies for mutual benefits, while calling for a reflection on the ethical implications for policymakers, businesses and end-users. The selection of case studies illustrates the most frequent case-scenarios of the use of big data in cultural tourism within destinations, compiled during the research. As the new technologies are facing ever-evolving scenarios, their use will be harnessed by the tourism sector in its endeavour to innovate and provide new cultural experiences.

Analysis of Radar Technology Identification Model for Potential Geologic Hazard based on Convolutional Neural Network and Big Data

2021 ◽  
Author(s):  
Feng He ◽  
Hongjiang Liu ◽  
Chunxue Liu ◽  
Guangjing Bao
Keyword(s):  
Neural Network ◽  
Big Data ◽  
Convolutional Neural Network ◽  
New Technologies ◽  
Hazard Identification ◽  
Identification Accuracy ◽  
Radar Image ◽  
Geologic Hazard ◽  
Continuous Increase ◽  
Identification Model

Abstract To ensure the proper adoption of new technologies in identifying the potential geologic hazard on tourist routes, convolutional neural network (CNN) technology is applied in the radar image geologic hazard information extraction. A scientific and practical geologic hazard radar identification model is built, which is based on CNN’s image identification and big data algorithm calculation, and it can effectively improve the geologic hazard identification accuracy. By designing experiments, the geologic hazard radar image data are verified, and the practicality of radar image intelligent Identification under CNN and big data technology is also verified. The results show that the images of different resolution sizes all play a significant role in identification of geologic hazard performed by CNN. However, there are differences in the performance of different CNN models. With the continuous increase of training samples, the identification accuracy of various network models is also improved. By means of radar image test, the identification capability of CNN model is the best, the highest precision is 93.61%, and the geologic hazard recall rate is 98.27%. Apriori algorithm is introduced into data processing, and the running speed and efficiency of identification models are improved, with favorable identification effect in variable data sets. This research can provide theoretical ideas and practical value for the development of potential geologic hazard identification on tourist routes.

BIG DATA PROCESSING IN THE DIGITALIZATION OF ENTERPRISE ACTIVITIES

2021 ◽  
Vol 75 (3) ◽  
pp. 76-82
Author(s):  
G.T. Balakayeva ◽  
◽  
D.K. Darkenbayev ◽  
M. Turdaliyev ◽  
◽  
...  
Keyword(s):  
Social Networks ◽  
Growth Rate ◽  
Big Data ◽  
Data Processing ◽  
New Technologies ◽  
Large Data ◽  
Modern Society ◽  
Information Flows ◽  
Professional Activities ◽  
The Past

The growth rate of these enterprises has increased significantly in the last decade. Research has shown that over the past two decades, the amount of data has increased approximately tenfold every two years - this exceeded Moore's Law, which doubles the power of processors. About thirty thousand gigabytes of data are accumulated every second, and their processing requires an increase in the efficiency of data processing. Uploading videos, photos and letters from users on social networks leads to the accumulation of a large amount of data, including unstructured ones. This leads to the need for enterprises to work with big data of different formats, which must be prepared in a certain way for further work in order to obtain the results of modeling and calculations. In connection with the above, the research carried out in the article on processing and storing large data of an enterprise, developing a model and algorithms, as well as using new technologies is relevant. Undoubtedly, every year the information flows of enterprises will increase and in this regard, it is important to solve the issues of storing and processing large amounts of data. The relevance of the article is due to the growing digitalization, the increasing transition to professional activities online in many areas of modern society. The article provides a detailed analysis and research of these new technologies.

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