Emerging Paradigms and Architectures for Industry 5.0 Applications

After the success of the first Special Issue on “Emerging Paradigms and Architectures for Industry 4.0 Applications” [1], a new Special Issue was launched to update the approach followed by the Fourth Industrial Revolution (4IR), with the primary goal of fostering the path towards the Fifth Industrial Revolution (5IR), known as “Industry 5.0” in Europe. In this second edition, this Special Issue collected papers that aim at reporting the latest advances in architectures, paradigms, and applications in the ever-increasing complex ecosystem of green smart manufacturing. A total of five papers (two research papers and three review papers) were presented in this Special Issue, related to various Industry5.0 related areas, like Low-Power Wide-Area Network (LPWAN) technologies, power management, IIoT, CPSs, or blockchain.Centro de Investigación de Galicia “CITIC”; ED431G 2019/01Xunta de Galicia; ED431C 2020/15Agencia Estatal de Investigación; PID2020-118857R

The Role of Networking, Entrepreneurial Environments, and Support Systems in the Creation, Survival and Success of Ventures Founded by Women, Minority, and Immigrant Entrepreneurs

This Special Issue sought to develop new theories or expand on existing paradigms and perspectives on how social networks, entrepreneurial environments/ecosystems and support systems of minority, women and immigrant entrepreneurs’ (MWI) impact new venture creation and entrepreneurial processes, such as opportunity recognition, resource acquisition, venture success and survival. An expansive examination of the entrepreneurship literature elucidated the need for studies on support systems, entrepreneurial ecosystems as attributing factors to MWI venture creation, survival and success. Consequently, the editors devised a call for papers requesting that authors explore new perspectives and paradigms incorporating environmental conditions that impact MWI’s, and the role of social networks in venture creation, survival and success. Questions posed by the Special Issue include: first, what environmental factors, support systems or types of entrepreneurial ecosystems provide coping mechanisms for challenges faced by these entrepreneurs; and help facilitate success? second, how do MWIs network with others, develop their social networks and build social capital both before founding and after founding their ventures? third, what barriers to startup/success limit the potential of these entrepreneurs? fourth, what theories best explain venture creation, survival or failure among MWIs? fifth, are there important differences between these entrepreneurial groups and the general population, and sixth, how might these differences and/or generational status positively/negatively impact creation, survival or success? Three manuscripts were accepted spanning topics on network diversity, immigrant entrepreneurial intentions with environmental stressors, emotional carrying capacity (ECC) and entrepreneurial self-efficacy (ESE). The following paragraphs highlight the importance of MWIs to the US economy, with demonstrative evidence of the critical role that support systems and entrepreneurial ecosystems play in manifesting positive outcomes for MWI ventures. An abbreviated review and discussion of the contributions made by the accepted manuscripts in this Special Issue is then followed by advice for future research directions

Biological Networks

Networks of coordinated interactions among biological entities govern a myriad of biological functions that span a wide range of both length and time scales—from ecosystems to individual cells and from years to milliseconds. For these networks, the concept “the whole is greater than the sum of its parts” applies as a norm rather than an exception. Meanwhile, continued advances in molecular biology and high-throughput technology have enabled a broad and systematic interrogation of whole-cell networks, allowing the investigation of biological processes and functions at unprecedented breadth and resolution—even down to the single-cell level. The explosion of biological data, especially molecular-level intracellular data, necessitates new paradigms for unraveling the complexity of biological networks and for understanding how biological functions emerge from such networks. These paradigms introduce new challenges related to the analysis of networks in which quantitative approaches such as machine learning and mathematical modeling play an indispensable role. The Special Issue on “Biological Networks” showcases advances in the development and application of in silico network modeling and analysis of biological systems

The Network-on-Chip Paradigm in Practice and Research

The network-on-chip paradigm is an emerging paradigm that effectively addresses and presumably can overcome the many on-chip interconnection and communication challenges that already exist in today's chips or will likely occur in future chips. Effective on-chip implementation of network-based interconnect paradigms requires developing and deploying a whole new set of infrastructure IPs and supporting tools and methodologies. This special issue illustrates how, to date, engineers have successfully deployed NoCs to meet certain very-aggressive specifications. At the same time, the articles reveal many issues and challenges that require solutions if the NoC paradigm will indeed become a panacea or quasi-panacea for tomorrow’s SoCs

Supervision in an alternative paradigm

Original article can be found at: http://www.textjournal.com.au/speciss/issue6/content.htmIn this paper we express our framing of supervision as preparation and training for professional practice as a researcher, rather than the culmination of tertiary education. Instead of discussing the supervisory activity, performance and best practice, we focus on the uniqueness of practice as a researcher in the creative arts as being constituted by an emerging and novel research paradigm. We develop the theoretical framework of Guba and Lincoln, contrasting their use of the term ‘paradigm’ with that of Kuhn. We identify research in the creative arts as being a so-called ‘alternative paradigm’ but having its own unique characteristics. However, we claim that these characteristics are not discretionary but related to generic characteristics of research. By developing Guba and Lincoln’s model, we argue that the characteristics of research in the creative arts cannot simply be translated or inferred from the characteristics of research in cognate disciplines, but must be derived from the worldview and values of the arts community. This involves identifying both generic and discipline-specific characteristics. We claim that the discipline-specific characteristics reflect the values that are found in professional practice, and the generic characteristics reflect the values that are found in academic research across disciplines. As a result of establishing criteria for the evaluation of activities as research in a novel paradigm such as the creative arts, we present a critical framework for thesis production that facilitates the inclusion of the researcher’s own creative work in the doctoral study. A number of issues arising from the experience of the authors as supervisors and examiners are discussed. Finally, a template for a seven-chapter thesis in the creative arts is proposed, which addresses common problems such as weaknesses in the single-case study approach and researcher bias in participant-observation studies.Peer reviewe

The Statistical Foundations of Entropy

In the last two decades, the understanding of complex dynamical systems underwent important conceptual shifts. The catalyst was the infusion of new ideas from the theory of critical phenomena (scaling laws, renormalization group, etc.), (multi)fractals and trees, random matrix theory, network theory, and non-Shannonian information theory. The usual Boltzmann–Gibbs statistics were proven to be grossly inadequate in this context. While successful in describing stationary systems characterized by ergodicity or metric transitivity, Boltzmann–Gibbs statistics fail to reproduce the complex statistical behavior of many real-world systems in biology, astrophysics, geology, and the economic and social sciences.The aim of this Special Issue was to extend the state of the art by original contributions that could contribute to an ongoing discussion on the statistical foundations of entropy, with a particular emphasis on non-conventional entropies that go significantly beyond Boltzmann, Gibbs, and Shannon paradigms. The accepted contributions addressed various aspects including information theoretic, thermodynamic and quantum aspects of complex systems and found several important applications of generalized entropies in various systems

Futures Studies in the Interactive Society

This book consists of papers which were prepared within the framework of the research project (No. T 048539) entitled Futures Studies in the Interactive Society (project leader: Éva Hideg) and funded by the Hungarian Scientific Research Fund (OTKA) between 2005 and 2009. Some discuss the theoretical and methodological questions of futures studies and foresight; others present new approaches to or procedures of certain questions which are very important and topical from the perspective of forecast and foresight practice. Each study was conducted in pursuit of improvement in futures fields

Developing a dominant logic of strategic innovation

Purpose: This paper aims to lay the foundations to develop a dominant logic and a common thematic framework of strategic innovation (SI) and to encourage consensus over the field’s core foundation of main themes. Design/methodology/approach: The paper explores the intersection between the constituent fields of strategic management and innovation management through a concept mapping process. The paper categorizes the main themes and search for common ground in order to develop the core thematic framework of SI. The paper looks at the sub-themes of SI in published research and develops a more detailed framework. The conceptual categories derived from the process are then placed in a logical sequence according to how they occur in practice or in the order of how the concepts develop from one other. Findings: The results yield seven main themes that form the main taxonomy of SI: types of SI, environmental analysis of SI, SI planning, enabling SI, collaborative networks, managing knowledge, and strategic outcomes. Research limitations/implications: The new thematic framework the paper is proposing for SI remains preliminary in nature and would need to be tried and tested by researchers and practitioners in order to gain acceptability. Academic rigor and methodological structure are not sufficient to determine whether our conceptual framework will become widely diffused in academia and industry. It would have to pass through an emergent, evolutionary process of selection, adoption and an inevitable degree of change and adaptation, just like any other innovation. Practical implications: The practical implications concern the production of instructive material and the application of strategic management initiatives in industry. The proposed themes and sub-themes can serve as a logical framework to develop and update publications, which have been instrumental in their own right to shape the field. The paper also provides a checklist of potential research projects in SI, which will improve and strengthen the field. The new framework provides a comprehensive checklist of strategic management initiatives that will help industry to initiate, plan and execute effective innovation strategies. Originality/value: The concept mapping of the themes of SI yields a new dominant logic, which will influence the evolution of the field and its relevance to both academia and industry