scholarly journals Industry 4.0 brings changes in human resources

2020 ◽  
Vol 83 ◽  
pp. 01016
Author(s):  
Hana Gažová Adamková
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Human Resources ◽  
Industry 4.0 ◽  
Performance Enhancement ◽  
Information Analysis ◽  
Training Performance ◽  
Positive Engagement ◽  
The Impact ◽  
Area Data

Industry era 4.0 is an era of robotization that assumes the unification and automation of processes in the personnel area: data collection, information analysis, evaluation, training, performance enhancement and decision making. The aim of the paper is to point out the upcoming trend in the era of industry 4.0, of which employees are an essential part. It focuses on the perception of implementation of changes from the perspective of employees and the need for systematic work of HR professionals. The paper focuses on identifying the types of changes that are most often implemented in organizations and also the satisfaction of employees with the impact of the introduced changes. We start from the fact that changes contribute to the future of an ever-developing organization. The more people are connected to change, the easier it is to encourage their positive engagement.

scholarly journals HR analytics a roadmap for decision making: case study

2019 ◽  
Vol 15 (2) ◽  
pp. 979 ◽  
Author(s):  
Brahim Jabir ◽  
Noureddine Falih ◽  
Khalid Rahmani
Keyword(s):  
Operating System ◽  
Decision Making ◽  
Literature Review ◽  
Human Resources ◽  
Management Model ◽  
Amount Of Information ◽  
Vast Amount ◽  
The People ◽  
The Impact

<p>In the socio-economic world, the human resources are in the most top phase of the enterprise evolution. This evolution began when the arithmetic, statistics are applicable over a vast of opportunities and used to identify problems and support decision. However, analytics has been emerged to provide predictions and understand the people performance based on available data.</p>In light of this vast amount of information, human resources services need to deploy a predictive management model and operating system of analytics that can be an efficient and an instead solution that can respond to the gaps of the traditional existing ones and facilitate the decision making. In this paper, we present a literature review of this HR analytics concept and a case study concerning the impact of interventions using an analytics solution.<p> </p>

The Impact of New Technology on Society and Workforce in Production in the Era of Industry 4.0

2021 ◽  
pp. 1202-1218
Author(s):  
Cem Zafer ◽  
Pelin Vardarlier
Keyword(s):  
Human Resources ◽  
Social Structure ◽  
20Th Century ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
New Technology ◽  
The Internet ◽  
Initial Stage ◽  
The Social ◽  
The Impact

The industrial revolution, which took place in the 20th century, is the first step of similar developments in the ongoing centuries. In the first steps of this century, the use of steam machines in production is the first steps of a more serial and systematic production structure. With the advancing developments up to the industrial revolution or Industry 4.0, a structure quite different from the initial stage was formed. In the most general sense, the Industry 4.0 structure, defined as the internet of objects, emerges with a more systematic and self-functioning structure discourse in its production activities, but its effects are not only related to production activities. As a matter of fact, the use of Industry 4.0 at the point reached, human resources, employment, social classes, communities, and so on. It is thought to be effective on the structures. In this context, in this study, the effects of the social impacts of these processes and the ways in which Industry 4.0 can create a social structure have been explained.

Artificial Intelligence Inroads Into HR

2022 ◽  
pp. 231-246
Author(s):  
Swati Bansal ◽  
Monica Agarwal ◽  
Deepak Bansal ◽  
Santhi Narayanan
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Human Resources ◽  
Generation Y ◽  
Industry 4.0 ◽  
Career Aspirations ◽  
Work Life ◽  
Human Decision ◽  
The Right ◽  
Talent Acquisition

Artificial intelligence is already here in all facets of work life. Its integration into human resources is a necessary process which has far-reaching benefits. It may have its challenges, but to survive in the current Industry 4.0 environment and prepare for the future Industry 5.0, organisations must penetrate AI into their HR systems. AI can benefit all the functions of HR, starting right from talent acquisition to onboarding and till off-boarding. The importance further increases, keeping in mind the needs and career aspirations of Generation Y and Z entering the workforce. Though employees have apprehensions of privacy and loss of jobs if implemented effectively, AI is the present and future. AI will not make people lose jobs; instead, it would require the HR people to upgrade their skills and spend their time in more strategic roles. In the end, it is the HR who will make the final decisions from the information that they get from the AI tools. A proper mix of human decision-making skills and AI would give organisations the right direction to move forward.

Factors explaining the Impact of Performance Measures in European Local Governments

2015 ◽  
Vol 13 (2) ◽  
pp. 229-248 ◽  
Author(s):  
Lourdes Torres ◽  
Vicente Pina ◽  
Caridad Martí
Keyword(s):  
Decision Making ◽  
Human Resources ◽  
Performance Measures ◽  
Local Governments ◽  
Monetary Incentives ◽  
Senior Managers ◽  
Hr Management ◽  
Perceived Impact ◽  
The Impact

This paper seeks to identify the drivers of the variations in the impact perceived by managers of the implementation of performance measures (PM) across European local governments. We argue that insights from the use of PM for managerial processes and human resources (HR) management features condition the perceived impact of PM systems. The data was collected through a questionnaire answered by local governments of 16 European countries. The results show that the higher the use of PM in performance-oriented budgeting processes, the higher the impact of PM on improvements in the quality of decision-making. Monetary incentives linked to performance better explain the actual results in PM implementation than the kind of HR system of the cities and the academic backgrounds of their senior managers.

scholarly journals Penguatan Gender dalam Pengambilan Keputusan Birokrasi di Kabupaten Bone Bolango

2018 ◽  
Vol 1 (1) ◽  
pp. 24
Author(s):  
Robby Hunawa
Keyword(s):  
Decision Making ◽  
Qualitative Research ◽  
Data Collection ◽  
Research Method ◽  
Decision Making Process ◽  
The Public ◽  
Female Figures ◽  
Reinforcement Model ◽  
The Impact

The long-term goal of this research is the birth of the process of drawing women's involvement in the bureaucratic decision-making process, and the gender reinforcement model in bureaucratic decision making in Bone Bolango District. The target of the research will be done by stages: 1) identify the problem of constraints faced; and 2) to formulate a model of gender reinforcement in bureaucratic decision making. The research method used is qualitative research with data collection techniques through: interview, documentation, and FGD. Further data collected will be analyzed data triangulation. The result of the research is the birth of a model of gender reinforcement in decision making bureaucracy. The impact of the study will provide answers on women's partisifasi in decision making. During this time the existence of women is very much ruled out. The presence of female figures in the public dimension brings new trends in the context of government. Women want to be treated proportionally. This tendency has implications for the inclusion of women to compete with men to become leaders.

scholarly journals STRATEGY BUMDESA (VILLAGE-OWNED ENTERPRISE) IN THE TOURISM DEVELOPMENT VILLAGE OF TAMAN PINGGIR GAWAN (TPG), PILANGGEDE VILLAGE, BALEN DISTRICT, BOJONEGORO REGENCY

2021 ◽  
Vol 19 (1) ◽  
pp. 183-194
Author(s):  
Ayu Anggita Sari ◽  
Lukman Arif
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Human Resources ◽  
Research Method ◽  
Field Data ◽  
Field Data Collection ◽  
Flood Disasters ◽  
Tourist Village ◽  
The Impact

Pilanggede Village is one of the villages that has a village economic institution called BUMDesa Pilanggede Gemilang. Which BUMDesa has succeeded in building a tourist village destination. The development of this tourist village is named the Taman Pinggir Gawan Tourism Village (TPG) which presents a characteristic of the panoramic beauty of the Bengawan Solo River. However, behind the panoramic beauty, the Bengawa Solo River is a river that is prone to flood disasters when the rainy season arrives. So that BUMDesa Pilanggede makes efforts to minimize the impact of disasters and also to maintain the existence of tourist villages. This research aims to examine how the BUMDesa strategy is in the development of the TPG tourism village, Pilanggede Village, Balen District, Bojonegoro Regency. The research method used is descriptive qualitative by describing the facts that occur in the field. Data collection techniques using observation, interviews, documentation, and triangulation. The results showed that in the process of developing a tourist village, several programs had been designed. The program includes establishing the image of tourism with the addition of new vehicles and also improving facilities and infrastructure, improving the quality of human resources through training, carrying out activities to maintain environmental hygiene, and also promoting through social media.

Big Data and Democracy

2020 ◽  
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Big Data ◽  
Data Collection ◽  
Political Campaigns ◽  
Original Research ◽  
Targeted Advertising ◽  
Echo Chambers ◽  
Political Turmoil ◽  
The Impact

This edited collection tackles subjects that have arisen as a result of new capabilities to collect, analyse and use vast quantities of data using complex algorithms. Questions tackled include what is wrong with targeted advertising in political campaigns, whether echo chambers really are a matter of genuine concern, what is the impact of data collection through social media and other platforms on questions of trust in society and is there a problem of opacity as decision-making becomes increasingly automated? The contributors consider potential solutions to these challenges and discuss whether an ethical compass is available or even feasible in an ever more digitized and monitored world. The editors bring together original research on the philosophy of big data and democracy from leading international authors, with recent examples and case references – including the 2016 Brexit Referendum, the Leveson Inquiry and the Edward Snowden leaks – and combine them in one authoritative volume at time of great political turmoil.

Multidimensional poverty in Kolkata’s slums: towards data driven decision making in a medium-sized NGO

2020 ◽  
Author(s):  
Maurice Lange
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Multidimensional Poverty ◽  
Data Driven ◽  
Data Driven Decision Making ◽  
Collection Method ◽  
Data Collection Method ◽  
The Impact

Calcutta Rescue (CR) is a medium-sized NGO based in Kolkata, India that focuses on supporting the residents of the city’s slums. In 2019, CR launched its first multidimensional poverty survey seeking to understand the degree to which, and in what ways, the populations they work with were deprived. It was hoped that this would also contribute to the measurement of the impact of their interventions. This piece introduces and discusses the composition of the survey and the data collection method. It then presents some of the results, and discusses how they are informing, and will inform, CR’s work.

scholarly journals Investigating the Concept of Creative Disposition & Decision Making Styles

2021 ◽  
Vol 10 (2) ◽  
pp. 12-25
Author(s):  
SAYMA ZIA ◽  
ISMAT FATIMA ◽  
SANA AZHER
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Personal Experience ◽  
Sampling Technique ◽  
Target Population ◽  
Primary Data ◽  
Data Collection Process ◽  
Decision Making Styles ◽  
Linear Regression Technique ◽  
The Impact

This purpose of this study aims to determine the impact of decision making styles in organizations operating in Karachi. It focuses on exploring different components of decision making styles and investigates the concept of creative disposition. Moreover, it determines the correlation of different components of decision making styles to creative disposition of employees. It identifies necessary changes in decision making styles to increase its impact on creative disposition. Explanatory technique is adopted to determine the impact of logic, facts and personal experiences in decision making style on creative disposition; followed by primary data collection. Quantitative paradigms are used to perform the analysis. Target population of current study comprises of employees working in organizations of Karachi. Sampling technique used is non-probability convenient sampling. Sample size is of 384. Survey technique has been adopted for data collection process. Instrument used is questionnaire for data collection multiple linear regression technique has been used for analysis. The results of the study revealed that there is a significant role of logic based decision making style, facts based decision making style and personal experience based decision making style to determine positive creative disposition shows that it has a significant impact on it. This study successfully explained importance of decision making styles in developing creative disposition in organizations. Keywords: Logic Based Decision Making Style, Facts Based Decision Making Style, Personal Experience Based Decision Making Style, Creative Disposition.

scholarly journals Strategi Bertahan Hotel Berbintang dalam Menghadapi Situasi Covid-19 di Kabupaten Badung, Bali

2021 ◽  
Vol 11 (2) ◽  
pp. 387
Author(s):  
I.A Anggreni Suryaningsih ◽  
I Gusti Ayu Oka Suryawardani
Keyword(s):  
Data Collection ◽  
Human Resources ◽  
Research Data ◽  
Tourism Industry ◽  
Collection Method ◽  
Data Collection Method ◽  
The World ◽  
The Impact

The Covid-19 pandemic has had an impact on the tourism industry around the world. In Bali, the impact of the Covid-19 pandemic resulted in the tourism industry, especially the hotel business being very down. Badung Regency, which is a barometer for Bali tourism as well as having the highest number of star hotels in Bali, has been hit hard by the Covid-19 situation. This research data collection method through distributing questionnaires online using google form. The number of star hotels in this study were 30 sample hotels. The samples in this study are grouped into two clusters, namely (1) stars hotel cluster 1,2,3, (2) stars hotel cluster 4 and 5. The results show that the efforts made by star hotels in each cluster are quite diverse, the grouping of these efforts is divided into several categories, among others, marketing, finance, human resources and CHSE-based health protocols.

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