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

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.

2020 ◽  
Vol 31 (4) ◽  
pp. 687-703 ◽  
Author(s):  
Emmanuel Flores ◽  
Xun Xu ◽  
Yuqian Lu

PurposeThe purpose of this paper is twofold: to raise and address an important change for the human capital in the future of Industry 4.0, and to propose a human-focused perspective for companies underneath the new Industrial Revolution.Design/methodology/approachThe research study follows a state-of-the-art literature review process. The nature of the selected approach enables to cover the extensive aim of the paper with sufficient scientific solidity that should support the understanding of every topic.FindingsThis work has presented three relevant aspects for Industry 4.0 and its human labour force: a workforce architecture with new interactions, a term to embrace the human capital of the future and a typology for referencing the required competences for Industry 4.0.Research limitations/implicationsThe paper sheds light on an important aspect for the emerging Industrial Revolution, the human force. The result and conclusion sections suggest future implications for academia and the private sector, due to changes at the conceptual and practical levels of human operation in the industry – for example, new structural interactions among employees, additional qualities to human capital and different ways to identify the competences for the workforce.Originality/valueThis is an interdisciplinary study that tries to bring together a modern industrial term, a social focus and a company scenario. From this, it was possible to obtain a new social term, a novel typology of competences and a new company-scenario interaction.


Author(s):  
María- José Foncubierta-Rodriguez ◽  
Rafael Ravina-Ripoll ◽  
Eduardo Ahumada-Tello ◽  
Luis Bayardo Tobar-Pesantez

Since the end of the 20th century, economists have been attracted to the study of the economics of happiness (e.g., Singh, & Alexandrova, 2020; Crespo & Mesurado, 2015; Ferrer-i-Carbonell,2013). The use of the term happiness characterizes an essential volume of this bibliographical production as a synonym for the words satisfaction, well-being, or quality of life (Teixeira&Vasque, 2020; Carlquist et al., 2017). Under this umbrella, the culture of happiness management teaches us that a management model or direction oriented to the holistic search for happiness or job satisfaction of its employees is one of the essential axial pieces that organizations have to increase the commitment of their human capital, and therefore, their productivity and business performance (Ravina et al., 2019). Public administration employees are not exempt from this reality, a group that is characterized by job stability compared to private company employees. This article is dedicated to them. The era of Industry 4.0 is a period that is characterized, among other things, by the high precariousness of labor that is originated by the implementation of management models in advanced economies. This phenomenon is derived from the technological point of view by the automation and massive robotization of production processes and the supply chain. Together with the digitalization of companies, both factors are very present in the ecosystems of the Covid-19, and have come, perhaps, to stay in the future (Bragazzi, 2020; Ghadge et al., 2020). In line with the above, a more holistic examination of this issue seems likely to show that there is a keen interest among people to enter into Work mostly in public administrations, in search of a permanent contract for their entire working life. As is known, this is especially true in countries with high unemployment levels, such as Spain. Its unemployment rate is 20.1% in mid-2020. In the collective imagination of these individuals, there is the conviction that this type of Work constitutes ambrosia of eudaimonic happiness, job security, and quality of life, especially at present, in times of the Covid-19 pandemic (Fernández-Urbano, & Kulic, 2020). In this sense, it should be noted that in the last decades of the 21st century, there has been a growing interest in researching public employees' job satisfaction (e.g., Ryu&Bae, 2020; Steijn &Van der Voet, 2019; Luechinge et al., 2010). Most of the studies carried out on this scientific topic to date show empirically that public sector workers are happier than individuals in the private sphere. It's basically due to the intrinsic benefits (flexibility, vacation, or family reconciliation, among others) that this type of government entity offers concerning for-profit organizations (e.g., Lahat&Ofek, 2020; Sánchez-Sánchez, & Puente, 2020; Danzer,2019). In this context, this article aims to examine, as a priority in the era of Industry 4.0, whether there are observed differences in the levels of congratulations between human capital working in the private sector and that working in the public sector in Spain, by analyzing a set of variables that define positions: hours, salary, stability, promotion, and stress. Finally, we must indicate, on the one hand, that the choice of this spatial framework is motivated by the scarce literature investigating the happiness of Spanish public employees in an economy with high levels of youth unemployment (Núñez-Barriopedro et al., 2020). On the other hand, the results achieved in this study may be useful in the future for the implementation of public policies aimed at significantly promoting the welfare of working citizens through the happiness management approach (Ravina-Ripoll et al., 2019), or for taking this management concept to private companies to increase the motivation of their employees (Foncubierta-Rodríguez & Sánchez-Montero, 2019). Keywords: Happiness, human resources, Industry 4.0, public sector.


2018 ◽  
Vol 17 (6) ◽  
pp. 275-281 ◽  
Author(s):  
Michael A. Couch ◽  
Richard Citrin

Purpose This paper aims to describes how properly designed and executed leadership development can make a difference, an approach the authors call intentional development. Design methodology/approach By building unique connections among recent advancements in human capital management and neuroscience, this paper proposes the components that any organization can use to significantly improve the return on their investment in leadership development. Findings It is estimated that US companies spend over US$13bn annually on leadership development. Match that number to the abundant research that finds most leadership development to be ineffective, and the conclusion is a phenomenal amount of waste. The situation does not need to be that dire. Originality/value Following the practices of yesterday are not sufficient to build leaders needed for now and the future. It is time to retool leadership development.


2018 ◽  
Vol 26 (4) ◽  
pp. 491-512 ◽  
Author(s):  
Natalia Miloslavskaya

Purpose Nowadays, to operate securely and legally and to achieve business objectives, secure valuable assets and support uninterrupted business processes, all organizations need to match a lot of internal and external compliance regulations such as laws, standards, guidelines, policies, specifications and procedures. An integrated system able to manage information security (IS) for their intranets in the new cyberspace while processing tremendous amounts of IS-related data coming in various formats is required as never before. These data, after being collected and analyzed, should be evaluated in real-time from an IS incident viewpoint, to identify an incident’s source, consider its type, weigh its consequences, visualize its vector, associate all target systems, prioritize countermeasures and offer mitigation solutions with weighted impact relevance. Different security information and event management (SIEM) systems cope with this routine and usually complicated work by rapid detection of IS incidents and further appropriate response. Modern challenges dictate the need to build these systems using advanced technologies such as the blockchain (BC) technologies (BCTs). The purpose of this study is to design a new BC-based SIEM 3.0 system and propose a methodology for its evaluation. Design/methodology/approach Modern challenges dictate the need to build these systems using advanced technologies such as the BC technologies. Many internet resources argue that the BCT suits the intrusion detection objectives very well, but they do not mention how to implement it. Findings After a brief analysis of the BC concept and the evolution of SIEM systems, this paper presents the main ideas on designing the next-generation BC-based SIEM 3.0 systems, for the first time in open access publications, including a convolution method for solving the scalability issue for ever-growing BC size. This new approach makes it possible not to simply modify SIEM systems in an evolutionary manner, but to bring their next generation to a qualitatively new and higher level of IS event management in the future. Research limitations/implications The most important area of the future work is to bring this proposed system to life. The implementation, deployment and testing onto a real-world network would also allow people to see its viability or show that a more sophisticated model should be worked out. After developing the design basics, we are ready to determine the directions of the most promising studies. What are the main criteria and principles, according to which the organization will select events from PEL for creating one BC block? What is the optimal number of nodes in the organization’s BC, depending on its network assets, services provided and the number of events that occur in its network? How to build and host the SIEM 3.0 BC infrastructure? How to arrange streaming analytics of block’s content containing events taking place in the network? How to design the BC middleware as software that enables staff to interact with BC blocks to provide services like IS events correlation? How to visualize the results obtained to find insights and patterns in historical BC data for better IS management? How to predict the emergence of IS events in the future? This list of questions can be continued indefinitely for a full-fledged design of SIEM 3.0. Practical implications This paper shows the full applicability of the BC concept to the creation of the next-generation SIEM 3.0 systems that are designed to detect IS incidents in a modern, fully interconnected organization’s network environment. The authors’ attempt to begin with a detailed description of the basics for a BC-based SIEM 3.0 system design is presented, as well as the evaluation methodology for the resulting product. Originality/value The authors believe that their new revolutionary approach makes it possible not to simply modify SIEM systems in an evolutionary manner, but to bring their next generation to a qualitatively new and higher level of IS event management in the future. They hope that this paper will evoke a lively response in this segment of the security controls market from both theorists and direct developers of living systems that will implement the above approach.


2018 ◽  
Vol 48 (2) ◽  
pp. 238-254 ◽  
Author(s):  
Maximiliane Wilkesmann ◽  
Uwe Wilkesmann

Purpose The rise of new information and communication technologies forms the cornerstone for the future development of work. The term Industry 4.0 refers to the vision of a fourth industrial revolution that is based on a network of autonomous, self-controlling, self-configuring, knowledge-based, sensor-based and spatially distributed production resources. All in all, different forms of the application of the Industry 4.0 concept can be observed, ranging from autonomous logistic transport systems drawn upon the idea of swarm intelligence to smart knowledge management systems. This paper aims to develop a theoretical framework to analyze different applications of Industry 4.0 on an organizing continuum. The general research questions are: What forms of organizing digitalized work lead to the reproduction of routines, and what forms foster innovation within Industry 4.0? The authors thus analyze the consequences of different forms of organizing work on workers’ perceptions and the results of the working process. Design/methodology/approach This paper provides case studies for different stages of the organizing continuum in the context of Industry 4.0. The cases and a further analysis of all 295 funded projects are based on the Platform Industry 4.0 Map, which is part of the Industry 4.0 initiative of the German Federal Ministry of Economic Affairs and Energy and the German Federal Ministry of Education and Research. The consequences for people acting in such organizational and digitally supported structures are discussed. Findings A variety of applications of Industry 4.0 can be found. These applications mainly vary in the dimensions of the degree of formalization, the location of control authority, the location of knowledge and the degree of professionalization. At the right side of the organizing continuum, the digitalization organizes a work environment that supports highly qualified humans. They have broad leeway and a high degree of autonomy to design and create innovative forms of digitalization for tomorrow. At the left side of the organizing continuum, Industry 4.0 structures a work environment with narrow leeway, a low degree of autonomy and a top-down structure of control authority predetermined by digital applications. In this case, employees fill the gaps the machines cannot handle. Research limitations/implications As the paper focuses on Industry 4.0 developments in Germany, the comparability with regard to other countries is limited. Moreover, the methodological approach is explorative, and broader quantitative verification is required. Specifically, future research could include quantitative methods to investigate the employees’ perspective on Industry 4.0. A comparison of Industry 4.0 applications in different countries would be another interesting option for further research. Practical implications This paper shows that applications of Industry 4.0 are currently at a very early stage of development and momentarily organize more routines than innovations. From a practical point of view, professional vocational and academic training will be a key factor for the successful implementation of digitalization in future. A joint venture of industry and educational institutions could be a suitable way to meet the growing demand for qualified employees from the middle to the right-hand of the organizing continuum in the context of Industry 4.0. Social implications Industry 4.0 is designed by men, and therefore, humans are responsible for whether the future work situation will be perceived as supportive or as an alienated routine. Therefore, designers of Industry 4.0, as well as politicians and scientists, absolutely must take the underlying outcomes of digitalized work into account and must jointly find socially acceptable solutions. Originality/value This paper provides a promising avenue for future research on Industry 4.0 by analyzing the underlying organizational structures of digital systems and their consequences for employees. Moreover, the paper shows how Industry 4.0 should be organized to simply reproduce routines or to support innovation.


2019 ◽  
Vol 23 (10) ◽  
pp. 1984-2006 ◽  
Author(s):  
George Thomas Solomon ◽  
Nawaf Alabduljader ◽  
Ravi S. Ramani

Purpose Social entrepreneurship courses are among the fastest growing category of course offerings to entrepreneurship students (Brock and Kim, 2011) because both high growth potential- and steady growth-social ventures can create value and help solve social issues effectively and efficiently. As knowledge disseminators, entrepreneurship educators are in prime position to develop the knowledge, skills and abilities of students, which, in turn, increases their intentions to start a social venture and their ability to manage and grow their venture. Students gain an understanding about the role of entrepreneurship in addressing social opportunities, as well as knowledge related to starting, managing and growing social entrepreneurship ventures. This paper is divided into three parts. First, the authors broadly discuss the concept of social entrepreneurship. Second, the authors present an overview of the field of social entrepreneurship education (SEE) and its evolution. Finally, the authors supplement this review with an analytical examination of SEE, in which the authors present results of a cross-country analysis survey of over 200 entrepreneurship education programs in the USA and Canada. This paper aims to present information about: student enrollment in social entrepreneurship courses in comparison to other entrepreneurship courses; the frequency of offering social entrepreneurship courses and programs compared to other entrepreneurship courses and programs; and future trends in SEE. The results revealed a strong demand for social entrepreneurship from students, room for improvement in terms of the supply of course offerings, and a strong belief in the continued growth of social entrepreneurship. The authors conclude with suggestions about the future of SEE. Design/methodology/approach Analysis of secondary data derived from the oldest and most-frequently cited sources regarding entrepreneurship education in the USA and a novel data set examining entrepreneurship education in Canada. Both data sets were collected using an online self-report survey. Findings Demand for SEE continues to rise in both the USA and Canada. However, course and program offerings have not kept pace. Prominent trends in social entrepreneurship such as cross-campus programs and addressing the evolving demographics of students in higher education institutions need more attention. Originality/value A cross-cultural study of SEE that provides a high-level view of the state of the field today. In addition, the paper outlines the potential of the field of knowledge management for the future of SEE.


2019 ◽  
Vol 25 (7) ◽  
pp. 1867-1890 ◽  
Author(s):  
Megashnee Munsamy ◽  
Arnesh Telukdarie ◽  
Johannes Fresner

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.


2017 ◽  
Vol 117 (10) ◽  
pp. 2305-2324 ◽  
Author(s):  
Davy Preuveneers ◽  
Wouter Joosen ◽  
Elisabeth Ilie-Zudor

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.


2019 ◽  
Vol 121 (8) ◽  
pp. 1730-1743 ◽  
Author(s):  
Leonello Trivelli ◽  
Andrea Apicella ◽  
Filippo Chiarello ◽  
Roberto Rana ◽  
Gualtiero Fantoni ◽  
...  

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.


2019 ◽  
Vol 31 (1) ◽  
pp. 52-71 ◽  
Author(s):  
João Barata ◽  
Paulo Rupino Cunha ◽  
Sharon Coyle

Purpose The purpose of this paper is to present an approach to incorporating mobility into continuous manufacturing following the advent of Industry 4.0 (I4.0). Design/methodology/approach The investigation is based on a year-long canonical action research into a paper-manufacturing company implementing core I4.0 technologies. Findings The findings show how to: classify manufacturing mobility strategy based on the dimensions of team, task and control; design business processes enabled by mobile cyber–physical resources; involve different stakeholders in modeling mobility; and create a comprehensive guide to assist in implementing the mobile digitalization required by I4.0. Research limitations/implications Despite the complexity, richness and depth of the insights obtained in this research for mobility management in process industries, this inquiry was conducted in a single organization. Practical implications As the fourth industrial revolution encourages decentralization and increased interaction between humans and machines, this paper presents a model to capture the mobility potential in manufacturing. The tools proposed in this research can be used to steer investments in industry transformations that fuse the physical and digital worlds, overcoming mobility constraints. Originality/value Theoretically, this paper expands the concept of manufacturing mobility in I4.0. In practice, it proposes a participative roadmap to assist technology management in increasingly decentralized environments, identifying the intertwined network of cyber–physical actors, processes and services.


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