Priorities of training of digital personnel for industry 4.0: social competencies vs technical competencies

2019 ◽  
Vol 27 (3/4) ◽  
pp. 138-144 ◽  
Author(s):  
Elena G. Popkova ◽  
Kristina V. Zmiyak
Keyword(s):  
Industry 4.0 ◽  
Business Processes ◽  
Content Type ◽  
Social Competencies ◽  
Regression Curves ◽  
The Social ◽  
Technical Competencies ◽  
The World ◽  
Human Labor ◽  
The International Monetary Fund

Purpose The purpose of this paper is to determine the priorities of formation of competencies during training of digital personnel for industry 4.0. Design/methodology/approach The author performs two experiments for determining the scenario according to which industry 4.0 develops and will develop: the first experiment is aimed at determining the influence of the number of robots at unemployment level in 2019 and 2022 with the help of regression and correlation analysis (regression curves are built). The second experiment is connected to evaluation of the ratio of the number of robots to the number of population in 2019 and 2022. The research objects are countries with the highest number of robots in the world – i.e. with the highest level of development of industry 4.0; the information and empirical basis is materials of the International Federation of Robotics and the International Monetary Fund for 2019 and their forecasts for 2022. Findings The results of the performed experiments showed that in 2019 and 2022 the level of robotization of socio-economic systems of the countries of the world will be very low, and robotization will not cause growth of unemployment. Based on this, it is concluded that industry 4.0 will be developing according to the scenario of moderate automatization and robotization with preservation of domination of human labor in most business processes and spheres of economy. Communications with people will constitute the basis of the activities of digital personnel, and social competencies (with obvious significance of technical competencies) will be of top priority for them. Originality/value It is substantiated that technical competencies, with their large importance, will move to the background, while the key task will be society’s adaptation to the new technological mode and making social competencies the highest priority. The social and technical competencies of digital personnel in view of the performed tasks for industry 4.0 are determined.

The model of distribution of human and machine labor at intellectual production in industry 4.0

2020 ◽  
Vol 21 (4) ◽  
pp. 601-622 ◽  
Author(s):  
Agnessa O. Inshakova ◽  
Evgenia E. Frolova ◽  
Ekaterina P. Rusakova ◽  
Sergey I. Kovalev
Keyword(s):  
Industry 4.0 ◽  
Business Processes ◽  
Mining Industry ◽  
Statistical Error ◽  
Content Type ◽  
Global Competitiveness ◽  
Balanced Development ◽  
Dependent Variables ◽  
Human Labor ◽  
Intellectual Production

PurposeThe purpose of the paper is to develop a model of distribution of human and machine labor at intellectual production in Industry 4.0.Design/methodology/approachThe basis of the methodology of the research is regression analysis. The analyzed variables are independent variables that characterize the level of development of human and machine labor in the economy of a country; dependent variables that reflect the effectiveness of the production, marketing and innovative business processes in the economy of country according to “The Global Competitiveness Report” (World Economic Forum); and dependent variables, which show the share of the sphere (agriculture, mining industry, processing industry and service sphere) in the structure of GDP of a country according to the statistics of the World Bank. For determining the change of regression dependencies in dynamics in the interests of reduction of the probability of statistical error, the research is conducted for 2010 and 2018 with application of trend analysis.FindingsBased on the full selection of modern countries that conduct digital modernization, the authors determine statistical dependencies of effectiveness of business processes and development of the spheres of economy on the intensity of application of machine and human labor. This allowed determining significant differences in automatization of business processes: perspectives of application of machine labor are the widest in production and the narrowest in marketing, differentiated logic of organization of intellectual production in different spheres of economy and the specifics of automatization of business processes and spheres of economy in countries of different categories, one of which has to be taken into account during organization of intellectual production in Industry 4.0.Originality/valueThe developed model of optimal distribution of human and machine labor at intellectual production in Industry 4.0 will allow reducing disproportions in effectiveness of different business processes, development of different spheres of economy and growth rate of developed and developing countries. This explains its contribution into provision of well-balanced development of the modern global economic system.

Applying Industry 4.0 technologies in the COVID–19 sustainable chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carina Acioli ◽  
Annibal Scavarda ◽  
Augusto Reis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Industry 4.0 ◽  
Supply Chain Performance ◽  
Chain Process ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Sustainable Performance ◽  
The Social ◽  
New Research

PurposeThe purpose of this paper is 1) to investigate the effects on the crucial Industry 4.0 technological innovations that interact between the real and virtual worlds and that are applied in the sustainable supply chain process; 2) to contribute to the identification of the opportunities, the challenges and the gaps that will support the new research study developments and 3) to analyze the impact of the Industry 4.0 technologies as facilitators of the sustainable supply chain performance in the midst of the Coronavirus (COVID-19).Design/methodology/approachThis research is performed through a bibliographic review in the electronic databases of the Emerald Insight, the Scopus and the Web of Science, considering the main scientific publications on the subject.FindingsThe bibliographic search results in 526 articles, followed by two sequential filters for deleting the duplicate articles (resulting in 487 articles) and for selecting the most relevant articles (resulting in 150 articles).Practical implicationsThis article identifies the opportunities and the challenges focused on the emerging Industry 4.0 theme. The opportunities can contribute to the sustainable performance of the supply chains and their territories. The Industry 4.0 can also generate challenges like the social inequalities related to the position of the man in the labor market by replacing the human workforce with the machines. Therefore, the man-machine relationship in the Industry 4.0 era is analyzed as a gap in the literature. Therefore, as a way to fill this gap, the authors of this article suggest the exploration of the research focused on the Society 5.0. Also known as “super-smart society,” this recent theme appeared in Japan in April 2016. According to Fukuda (2020), in addition to the focus on the technological development, the Society 5.0 also aims at the quality of life and the social challenge resolutions.Originality/valueThis article contributes to the analysis of the Industry 4.0 technologies as facilitators in the sustainable supply chain performance. It addresses the impacts of the Industry 4.0 technologies applied to the supply chains in the midst of the COVID-19 pandemic, and it analyzes the research gaps and limitations found in the literature. The result of this study can add value and stimulate new research studies related to the application of the Industry 4.0 technologies as facilitators in the supply chain sustainable performance. It can encourage the studies related to the COVID-19 impacts on the sustainable supply chains, and it can promote the research development on the relationship among the man, the machine and the labor in the Fourth Industrial Revolution.

“Women know how to get things done”: narrative of an intersectional movement

2017 ◽  
Vol 12 (1) ◽  
pp. 31-41 ◽  
Author(s):  
Amanda Elizabeth Vickery
Keyword(s):  
Civil Rights ◽  
Social Studies ◽  
African American Women ◽  
Design Methodology ◽  
Content Type ◽  
American Women ◽  
Know How ◽  
Civil Rights Organizations ◽  
The Social ◽  
The World

Purpose The purpose of this paper is to explore how African-American women, both individually and collectively, were subjected to both racism and sexism when participating within civil rights organizations. Design/methodology/approach Because of the intersection of their identities as both African and American women, their experiences participating and organizing within multiple movements were shaped by racism and patriarchy that left them outside of the realm of leadership. Findings A discussion on the importance of teaching social studies through an intersectional lens that personifies individuals and communities traditionally silenced within the social studies curriculum follows. Originality/value The aim is to teach students to adopt a more inclusive and complex view of the world.

Business process centric energy modelling

2019 ◽  
Vol 25 (7) ◽  
pp. 1867-1890 ◽  
Author(s):  
Megashnee Munsamy ◽  
Arnesh Telukdarie ◽  
Johannes Fresner
Keyword(s):  
Multinational Corporations ◽  
Business Process ◽  
Carbon Dioxide Emissions ◽  
Industry 4.0 ◽  
Energy Demand ◽  
Business Processes ◽  
Process Models ◽  
Operational Parameters ◽  
Content Type ◽  
Energy Assessment

Purpose Sustainability is an accepted measure of business performance, with reductions in energy demand a commonly practised sustainability initiative by multinational corporations (MNCs). Traditional energy models have limited scope when applied to the entire MNC as the models exhibit high data and time intensity, high technical proficiency, specificity of application and omission of non-manufacturing activities. The purpose of this paper is to propose a process centric energy model (PCEM), which adopts a novel approach of applying business processes for business energy assessment and optimisation. Business processes are a fundamental requirement of MNCs across all sectors. The defining features of the proposed model are genericity, reproducibility, minimum user input data, reduced modelling time and energy evaluation of non-manufacturing activities. The approach forwards the adoption of Industry 4.0, a subset of which focuses on business process automation or part thereof. Design/methodology/approach A quantitative approach is applied in development of the PCEM. The methodology is demonstrated by application to the procure to pay and electroplating business processes. Findings The PCEM quantifies and optimises the business energy demand and associated carbon dioxide emissions of the procure to pay and electroplating business processes, validating the application of business processes. The application demonstrates minimum user inputs as only equipment operational parameters are required and minimum modelling time as business process models and optimisation options are pre-defined requiring only user modification. As MNCs have common business processes across multiple sites, once a business process energy demand is quantified, its inputs are applied as the default in the proceeding sites, only requiring updating. The model has no specialist skills requirement enabling business wide use and eliminating costs associated with training and expert’s services. The business processes applied in the evaluation are developed by the researchers and are not as comprehensive as those in actual MNCs, but is sufficiently detailed to accurately calculate an MNC energy demand. The model databases are not exhaustive of all resources found in MNCs. Originality/value This paper provides a new approach to MNC business energy assessment and optimisation. The model can be applied to MNEs across all sectors. The model allows the integration of manufacturing and non-manufacturing activities, as it occurs in practice, providing holistic business energy assessment and optimisation. The model analyses the impacts of the adoption of Industry 4.0 technologies on business energy demand, CO2 emission and personnel hours.

Gender discourse in the social studies curriculum: an international literature review

2020 ◽  
Vol 15 (2) ◽  
pp. 183-194
Author(s):  
Molly D. Siebert
Keyword(s):  
Social Studies ◽  
Gender Equality ◽  
Comparative Education ◽  
Women And Gender ◽  
Social Studies Curriculum ◽  
Content Type ◽  
Gender Discourse ◽  
The Social ◽  
The World ◽  
And Gender

PurposeThe purpose of this paper is to explore research on the inclusion of women and discourses on gender in the social studies curriculum, with the goal of promoting gender equality.Design/methodology/approachTo gauge how issues on gender are being taken up in classrooms around the world, the process started by exploring Compare, Comparative Education, Comparative Education Review and International Journal of Educational Development. Initially, studies related to the social studies curriculum were examined. The research then expanded beyond the social sciences and these journals. The next level of research used a mixture of the key search terms “inclusion,” “gender discourse,” “women,” “gender equality” and “curriculum.” Studies conducted around the world were examined to broaden the understanding of global research on women and gender discourses in the curriculum.FindingsAlthough progress is evident, reform measures are necessary to ameliorate the inclusion of women and gender discourses in the curriculum. Implementing these strategies in social studies education may be effective steps to achieve gender equality: (1) consistently encourage students to critique power structures and systems of oppression; (2) include the exploration of gender fluidity, masculinity and the fluidity of masculinity in the curriculum; (3) examine intersectional identities such as race, gender and sexuality; and (4) utilize teacher education programs and professional development as key sites to help educators improve the amount of and approach to gender discourse in the classroom.Originality/valueAfter reviewing these studies, the combined findings offer potential steps to achieve gender equality.

Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia

2020 ◽  
Vol 21 (4) ◽  
pp. 565-581 ◽  
Author(s):  
Elena G. Popkova ◽  
Bruno S. Sergi
Keyword(s):  
Human Capital ◽  
Social Entrepreneurship ◽  
Industry 4.0 ◽  
Business Processes ◽  
Content Type ◽  
Goods And Services ◽  
The Future ◽  
Social Goods ◽  
Human Intellect ◽  
Intelligent Decision Support

PurposeThe purpose of this article is to determine the future proportion and variants of usage of human intellect and artificial intelligence (AI) in entrepreneurship of industry 4.0 that fits social entrepreneurship the most. It could be convergence (simultaneous utilization during the same entrepreneurial processes with the emphasis on unique features by the terms of the competition) or divergence (usage during different business processes by the terms of labor division).Design/methodology/approachThe authors determine the influence of usage of human capital and AI on the efficiency of social entrepreneurship. The authors identify the perspective directions of usage of AI in social entrepreneurship and evaluate the readiness and interest in the implementation of these directions of concerned parties. The authors also model the optimal proportions and the variant of usage of human intellect and AI in social entrepreneurship in the conditions of Industry 4.0 in the future (until 2030).FindingsIt is found that social entrepreneurship will use the opportunities of Industry 4.0 for optimization of its activities until 2030, but will refuse from full automatization, using human intellect and AI at the same time.Originality/valueThe most perspective directions of application of AI at social companies are a collection of social goods and services, marketing studies and promotion of social goods and services. Neither convergence nor divergence of human and artificial intellectual capital does not fully conform to the interests of concerned parties. The most preferable (optimal) variant of usage of human intellect and AI in social entrepreneurship in the Industry 4.0 is human intelligent decision support.

scholarly journals The quest for organizational flexibility

2016 ◽  
Vol 22 (4) ◽  
pp. 763-790 ◽  
Author(s):  
Monica Anastassiu ◽  
Flavia Maria Santoro ◽  
Jan Recker ◽  
Michael Rosemann
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Design Methodology ◽  
Business Processes ◽  
Contextual Information ◽  
Decision Makers ◽  
Informational Support ◽  
Content Type ◽  
The Social

Purpose – The purpose of this paper is to propose a method for identifying business process-relevant contextual information that is likely to impact on the process goal. The ORGANON method describes a semi-structured procedural guide alongside with a set of criteria and a matrix for analyzing ontological transactions, which can be used to identify which context information can be considered relevant to a business process. Design/methodology/approach – The authors report on an evaluation of the ORGANON method through a case study conducted in an organization that works in the social security domain. Findings – The results provide evidences of the feasibility of the method application in this scenario. Originality/value – Our research contributes to the literature on business processes flexibility, specifically through a proposal for context identification that can be extended to current techniques for business process modeling and in turn forms the basis for existing approaches for making business processes more flexible. The work has implications for the strategic management of organizations, by suggesting a method that provides informational support to decision makers about when, where and why business processes need to be adapted.

scholarly journals Trustworthy data-driven networked production for customer-centric plants

2017 ◽  
Vol 117 (10) ◽  
pp. 2305-2324 ◽  
Author(s):  
Davy Preuveneers ◽  
Wouter Joosen ◽  
Elisabeth Ilie-Zudor
Keyword(s):  
Cyber Security ◽  
Industry 4.0 ◽  
Business Processes ◽  
Trust Model ◽  
Cloud Services ◽  
Performance Study ◽  
Manufacturing Enterprise ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Security Challenges

Purpose Industry 4.0 envisions a future of networked production where interconnected machines and business processes running in the cloud will communicate with one another to optimize production and enable more efficient and sustainable individualized/mass manufacturing. However, the openness and process transparency of networked production in hyperconnected manufacturing enterprises pose severe cyber-security threats and information security challenges that need to be dealt with. The paper aims to discuss these issues. Design/methodology/approach This paper presents a distributed trust model and middleware for collaborative and decentralized access control to guarantee data transparency, integrity, authenticity and authorization of dataflow-oriented Industry 4.0 processes. Findings The results of a performance study indicate that private blockchains are capable of securing IoT-enabled dataflow-oriented networked production processes across the trust boundaries of the Industry 4.0 manufacturing enterprise. Originality/value This paper contributes a decentralized identity and relationship management for users, sensors, actuators, gateways and cloud services to support processes that cross the trust boundaries of the manufacturing enterprise, while offering protection against malicious adversaries gaining unauthorized access to systems, services and information.

Unilateralism and protectionism in the World Trade Organization: the interpretation of the chapeau within GATT Article XX

2014 ◽  
Vol 13 (3) ◽  
pp. 222-231
Author(s):  
Philip Joseph Wells
Keyword(s):  
World Trade Organization ◽  
World Trade ◽  
Social Values ◽  
Content Type ◽  
Unilateral Action ◽  
The Social ◽  
The World ◽  
Original Insight ◽  
Developed Nations ◽  
Practical Implications

Purpose – The purpose of this paper is to provide a holistic and cohesive overview of the development of GATT, Article XX; critically focussing, in particular, on whether the interpretation of the provision permits developed member states to embark on unilateral and protectionist actions. Design/methodology/approach – The methodology for this paper was to assess and review the developing jurisprudence of the World Trade Organization (WTO) that relates to the use of Article XX. The paper adopts a chronological critique to analyse the development of the law; included in this is academic theory that underpins and proffers an explanation for the development. Findings – This paper suggests that while Article XX exists as a potential target to permit unilateral action by developed nations, it does not create a guise for unilateralism and protectionism due to the interpretation afforded to the “Chapeau”. Practical implications – The paper demonstrates an expansive collection of WTO jurisprudence and case authorities to illustrate the overarching interpretation of Article XX; in doing so, it allows those associated with the WTO to gain a practical overview of the holistic workings of Article XX. Social implications – Through demonstration of Article XX, and its interpretation, this paper outlines the social values and norms most likely to enjoy a privileged status to override WTO obligations. This paper also espouses what social values may develop in the future to be classified within Article XX. Originality/value – This paper provides an original insight by considering holistically, rather than narrowly, the interpretation of Article XX.

From precision agriculture to Industry 4.0

2019 ◽  
Vol 121 (8) ◽  
pp. 1730-1743 ◽  
Author(s):  
Leonello Trivelli ◽  
Andrea Apicella ◽  
Filippo Chiarello ◽  
Roberto Rana ◽  
Gualtiero Fantoni ◽  
...  
Keyword(s):  
Precision Agriculture ◽  
Environmental Sustainability ◽  
Industry 4.0 ◽  
Business Models ◽  
Business Processes ◽  
Agricultural Sector ◽  
Research Work ◽  
Digital Technologies ◽  
Market Demand ◽  
Content Type

Purpose Circumstances that are have a significant impact on it. In particular, environmental sustainability related to the increase of worldwide population, and market demand for agricultural products (with consumers more and more aware about cultivation and breeding techniques and interested in healthy and high-quality products) represent two of the key challenges that the agricultural sector is going to face in next years. In such a landscape, technological innovations that can support organizations and entrepreneurs to face these problems become increasingly important, and Industry 4.0 is the most striking example. Indeed, the Industry 4.0 paradigm aims to integrate digital technologies into business processes to raise productivity levels and to develop new business models. Accordingly, digital technologies play a similar role in the precision agriculture domain, and the purpose of this paper is to understand if the technologies at the basis of these two paradigms are the same or not. Design/methodology/approach The present work investigates how the two domains of Industry 4.0 and precision agriculture are connected to one another by analyzing the most used technologies in both the fields in order to highlight common patterns and technological overlaps. To reach such goal, an approach combining manual and automated analysis was developed. Findings The research work generated three main results: a dictionary of precision agriculture technologies including 324 terms; a graph, describing the connections between the technologies composing the dictionary; and a representation of the main technological clusters identified. Originality/value These show how the two domains under analysis are directly connected and describe the most important technologies to leverage when approaching digital transformation processes in the agricultural sector.

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