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The common implementation practices of modern industrial control systems (ICS) has left a window wide open to various security vulnerabilities. As the cyber-threat landscape continues to evolve, the ICS and their underlying architecture must be protected to withstand cyber-attacks. This study aims to review several ICS security assessment methodologies to identify an appropriate vulnerability assessment method for the ICS systems that examine both critical physical and cyber systems so as to protect the national critical infrastructure.

This paper reviews several ICS security assessment methodologies and explores whether the existing methodologies are indeed sufficient to meet the cyber security assessment exercise required to validate the security of electrical power control systems.

The study showed that most of the examined methodologies seem to concentrate on vulnerability identification and prioritisation techniques, whilst other security techniques received noticeably less attention. The study also showed that the least attention is devoted to patch management process due to the critical nature of the SCADA system. Additionally, this review portrayed that only two security assessment methodologies exhibited absolute fulfilment of all NERC-CIP security requirements, whilst the others only partially fulfilled the essential requirements.

This paper presents a review and a comparative analysis of several standard SCADA security assessment methodologies and guidelines published by internationally recognised bodies. In addition, it explores the adequacy of the existing methodologies in meeting cyber security assessment practices required for electrical power networks.

Industry 4.0 and circular economy are the two major areas in the current manufacturing industry. However, the adoption and implementation of Industry 4.0 and circular economy worldwide are still in the nascent stage of development. To address this gap, the purpose of this article is to conduct a systematic literature review on integrating Industry 4.0 and circular economy. Further, identify the research gaps and provide the future scope of work in this area.

Content-based analysis was adopted for reviewing the research articles and proposed a transition framework that comprises of four categories, namely, (1) Transition from Industry 3.0 to Industry 4.0 and integration with circular economy; (2) Adoption of combined factors and different issues; (3) Implementation possibilities such as front-end technologies, integration capabilities and redesigning strategies; (4) Current challenges. The proposed study reviewed a total of 204 articles published from 2000 to 2020 based on these categories.

The article presents a systematic literature review of the last two decades that integrates Industry 4.0 and circular economy concepts. Findings revealed that very few studies considered the adoption and implementation issues of Industry 4.0 and circular economy. Moreover, it was found that Industry 4.0 technologies including digitalization, real-time monitoring and decision-making capabilities played a significant role in circular economy implementation. The major elements are discussed through the analysis of the transition and integration framework. The study further revealed that a limited number of developing countries like India have taken preliminary initiatives toward Industry 4.0 and circular economy implementation.

The study proposes a transition and integration framework that identifies adoption and implementation issues and challenges. This framework will help researchers and practitioners in implementation of Industry 4.0 and circular economy.

Reviews of articles indicated that there are very few studies on integrating Industry 4.0 and circular economy. Moreover, there are very few articles addressing adoption and implementation issues such as legal, ethical, operational and demographic issues, which may be used to monitor the organization's performance and productivity.

Micro, Small, Medium Enterprises (MSMEs) are witnessing an accelerated transformation by the advent of Industry-4.0 (I4.0) in the post-pandemic period. It is offering promising customer responsiveness, competitiveness, business growth and sustainability and thereby, compelling its integration to MSMEs. Therefore, it is imperative for researchers to explore Industry 4.0 challenges and their specific implementation requirements and also provide useful insights to the stakeholders.

This research paper has identified, explained and analysed various determinants of the I4.0 implementation, in MSME context. Focus group approach has been applied for taking inputs from experts for developing the House of Quality (HOQ) tool of the Quality Function Deployment (QFD) methodology from the Total Quality Management (TQM) tool-box.

Based on the responses and after applying QFD, a conceptual model suggesting relevant strategies to execute I4.0 by Indian MSMEs has been developed. The model highlights three key challenges being faced by the Indian MSMEs –Top management support, Incompatible resources and Transition cost. The model also reveals vital few designer's descriptors – Cultural reorientation, IT enabled digitization, Process automation and knowledge and skill in I4.0 implementation (Knowhow) for a structured implementation of I4.0.

The evolved HOQ framework has provided some useful insights - priority areas in the MSME challenges and the designer's descriptors for I4.0 implementation in MSME. The research has also provided the understanding of the dynamics between the I4.0 components through the 10 × 10 interrelationship matrix of the HOQ. Farsighted MSME leaders, practising consultants, sourcing managers and policy makers can use the developed framework as a reference in formulating tactics to mitigate the I4.0 implementation barriers.

The non-conventional application of HOQ in the QFD approach from the TQM tool-box is a useful value addition to the TQM practitioners. The useful insights to the MSME leaders, policy makers, sourcing managers of OEM, consultants engaged in I4.0 transformation and academic researchers are the other contribution.

The purpose of this paper is to highlight the ontological implications of combining network and system ontology to conceptualize industrial networks as the empirical manifestations of complex adaptive economic systems.

This paper contributes with a systematic discussion on how network and system ontology can be combined to produce better understandings of business networks. It also provides a review of the state-of-the art research literature on the topic as a starting point for the discussion.

Findings indicate that networks may be enclosed in each other constituting sub- and supra-networks comprising increasing complexity. In these cases, sub-networks that are black-boxed can be seen as entities in themselves producing inputs and outputs to the supra-network. Networks, once they become black-boxed, can assume the functions of generative mechanisms within a wider supra-network.

This research is conceptual in nature and needs to be complemented with empirical research. In addition, the literature review used one database complemented with papers from the IMP journal. A wider search could reveal additional research that can be of relevance for the development of the field.

This paper addresses the ontological and methodological issues arising from a mixed system and network ontology. These issues are commonly ignored or dealt with indirectly in extant literature. For any accumulation of knowledge in the field to be possible, the explication of a mixed ontology is important as it have conceptual and methodological consequences. Adopting such a mixed ontological position provides an ontology in line with empirical research of business practice.

In the vast majority of the individual robot installations, the robot arm is just one piece of a complex puzzle of components, such as grippers, jigs or external axis, that together compose an industrial robotic cell. The success of such installations is very dependent not only on the selection of such components but also on the layout and design of the final robotic cell, which are the main tasks of the system integrators. Consequently, successful robot installations are often empirical tasks owing to the high number of experimental combinations that could lead to exhaustive and time-consuming testing approaches.

A newly developed optimized technique to deal with automatic planning and design of robotic systems is proposed and tested in this paper.

The application of a genetic-based algorithm achieved optimal results in short time frames and improved the design of robotic work cells. Here, the authors show that a multi-layer optimization approach, which can be validated using a robotic tool, is able to help with the design of robotic systems.

The usage of the proposed approach can be valuable to industrial corporations, as it allows for improved workflows, maximization of available robotic operations and improvement of efficiency.

To date, robotic solutions lack flexibility to cope with the demanding industrial environments. The results presented here formalize a new flexible and modular approach, which can provide optimal solutions throughout the different stages of design and execution control of any work cell.

The paucity of empirical evidence on the limitations of the industrial attachment programme of technical universities for enhancing students' human capital in Africa tends to thwart concrete policy options.

The study used the convergent mixed methods including 594 surveys, two focus groups and in-depth interviews to assess and accentuate the research gap in this study.

Evidence of constraints linked to the industrial attachment programme for developing students' human capital needs include limited funding, logistics and incentive for supervision, incompatible placement and exploitation and sexual harassment of students. Insufficient duration and intrusion of the industrial attachment programme due to labour unrests, inadequate collaboration and fears of student interns breaching organisations' confidentiality policies were also found to hinder the programme.

The study's dependence on participants' perspectives has the possibility of being characterised by recollection prejudice. The comparatively limited scope and size of the study participants creates concerns of representativeness and generalisability of the study outcome.

The outcome of this study could yield significant practical implications for the planning and operations of the industrial attachment programme of tertiary institutions. It also provides information which could serve as the basis for future research and comprehensive evaluation of the programme's planning and implementation.

The authors have delineated empirical evidence on the constraints of the industrial attachment programme of Ghanaian technical universities to inform policy decisions on the planning, operations, funding and evaluation of the programme in collaboration with industry and government.

This article contributes to the marketing literature by identifying key success factors in industrial service markets. In industrial markets, services are becoming critical for the creation of competitive advantage. However, the marketing of these services has received relatively limited attention in the industrial marketing and services marketing literature. In order to close this gap, the authors undertook a qualitative research study to build a specific model of competitive advantage for industrial services. The model identifies three core elements in the creation of superior customer value. Further, three sets of “value drivers” are discussed. Ideas for further research and recommendations for business practitioners are formulated.

The aim of this chapter is to present social entrepreneurship as the main driver of poverty alleviation in emerging economies. The concept is aimed at providing innovative solutions to unresolved social problems; a transformative and sustainable, innovative market solutions towards addressing societal problems.

Literature review was conducted on conceptual issues relating to boost entrepreneurship and economic development within the context of emerging economies and its connection to tourism.

This chapter identifies opportunities to resolve social unjust equilibrium by developing a value chain proposition and bringing creativity to forge a stable equilibrium in the market place. The rationale behind lies in a solution to alleviate poverty by creating an environment that encourages job creation. Social entrepreneurship is not a science as such but a multi-disciplinary that intends to equip people with business competencies and skills.

This chapter is explorative in nature, based on a literature review.

Social entrepreneurship is a practical response to unmet societal needs with a globalised business environment. It values corporations and introduces the concept of social entrepreneurship. The chapter also suggests a linkage between various research fields, such as entrepreneurship, corporate entrepreneurship and intrapreneurship.

The chapter analyses frameworks and models, as well as the disruptions driven by the fourth industrial revolution, evolving challenges and opportunities in the fields of business and employment.

The fourth industrial revolution (4IR) has changed the way people operate. All sectors of the economy have been affected by this technological advancement. However, little is known of how 4IR technologies are used in Africa. This paper aimed to investigate how 4IR technologies can be harnessed to support sustainable development in Africa. The objectives of the study were to: examine the infometric patterns of research production on 4IR technologies for sustainable development in Africa; explore the perception of 4IR technologies and their potential for sustainable development in Africa; investigate the extent to which 4IR technologies have been harnessed to support sustainable development in Africa; determine the factors influencing the use of 4IR technologies for sustainable development in Africa; and identify the strategies which can be used to harness 4IR technologies for sustainable development in Africa.

The study applied a mixed methods research approach. Quantitative data was collected through bibliometrics analysis while qualitative data was collected by use of systematic literature review. Data was collected from Google Scholar using Harzing's “Publish or Perish” software and analysed using Microsoft Excel, Notepad, VOSviewer and Atlas.ti and presented using tables, graphs and figures.

The study retrieved 914 research publications on 4IR and sustainable development in Africa. It emerged that production of research on the subject has increased gradually over the years. The findings reveal that Africa is aware of the potential of 4IR for sustainable development. In fact, it emerged that 4IR technologies are being used to support education, health services, tourism, e-commerce, records integrity and project management. Some of the factors that inhibit the use of 4IR for sustainable development Africa include lack of relevant policies, low skill levels in 4IR technologies, inadequate infrastructure and lack of stakeholder involvement. This study recommends the development of policies in 4IR, capacity building and upgrading of infrastructures. The findings can be used by governments in Africa to harness 4IR technologies for sustainable development.

The research is original in scope and coverage.