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This paper seeks to address the need for a comprehensive theoretical reference underlying the concerns of social complexity. The shortcomings of a very powerful yet cognitively biased theoretical model like Luhmann's theory of social systems especially call for the integration of the whole person into conceptualising social complexity. The paper aims to question what the conditions are for the possibility to successfully conceptualise social complexity.

Based on field research to explore the practical challenges of dealing with social complexity, the paper comprises discourse analysis and literature review. Luhmann's theory of social systems proved to be a fruitful starting point to integrate the latter research in neurosciences in a systemic way.

The paper finds that embedded mind thinking and holonic evolution of organism, psyche and society emerged out of the research as powerful thought figures. They allow for an improved practical and theoretical navigation on the ocean of social complexity.

The results implications for how we conceptualise social complexity and the ways we approach ourselves, how we govern, teach, heal, coach, learn, train, create, improve and innovate. Increasing our capabilities to meet social complexity will improve management, change, governance and project performance.

Addressing Luhmann's theory of social systems in the broader context of social complexity and neurosciences allowed for a reintegration of the whole person into the field of social complexity based not only on meaning but on feeling as well.

In modern industrial processes, the need of reducing lead time is imperious. This goal is pursued by “Holonic” structures, which are systems based on a network of collaboration. The purpose of this paper is to appraise the possible benefits, in terms of production duration, of such organizations compared to non-holonic arrangements. In addition, this analysis represents virtual teams, which are a significant and strategic attribute of holonic manufacturing systems.

The experiment performed in this paper is a simulation of an automobile assembly process under both a holonic and a non-holonic structure to observe lead times and the distinctive characteristics of each organization. Other targets of this research are to monitor the advantages that either strategy may offer in terms of efficiency and to examine a possible model of how virtual teams can be used in holonic networks.

The findings are unexpected. An initial expectation might lead to the belief that, given the better coordination and communication of holonic networks, lead times would be diminished. This experiment, utilizing virtual teams of university students, indicated otherwise.

It should be noticed, however, that future experiments in real manufacturing assembly processes are recommended to complement the findings of this study.

The management of lead times is indeed a complex task that includes a diversity of variables. Holonic structures should balance several factors that might play a role in lead times and ultimately in the success of a project. An original experiment with the participation of many universities in different countries is presented in this study. The exposure of global characteristics of modern manufacturing structures constitutes the main value of this research.

This chapter aims to provide a contribution to the debate about the actual relevance and sustainability of holacracy as an organizational structure able to overcome the limitations of hierarchy. Based on the literature review of this topic, we developed a research framework to explore the organizational variables that allow, or encourage, the development of organizations according to the holonic model. We applied this framework to a case study of a fast-growing Italian system integrator and consulting company.

The outcomes of the empirical investigation show that the applied framework enables the explanation of the development of a holonic organization and they highlight that, to deal with such development, a central role is played by electronic human resource management (e-HRM), defined in terms of HRM processes, software platforms, and organizational culture.

Any kind of production flow is obtained not from individual production organizations but from a more or less widespread Production Network of interconnected production modules located in different places and times. All of these modules are, consciously or not, necessarily connected, interacting and cooperating in a coordinated way to combine and arrange, step by step, the factors, materials, components, manpower, machines and equipment to obtain flows of products’ final goods, in particular’ and to sell these where there is a demand for them. The purpose of this paper is to determine, in logical and formal terms, the minimum conditions that bring about the formation of production networks and to discover the laws that explain their dynamics over time.

At the global level, the continuous and accelerated economic progress of mankind is witnessed. There is an increase in the quantity and quality of satisfied and yet to be satisfied needs, of attained and yet to be attained aspirations. The increase in productivity and in quality has become unstoppable and appears to guide the other variables in the system. It is natural to ask who produces and governs these phenomena. It does indeed seem there is a Ghost in the “Production” machine whose invisible hand produces growing levels of productivity and quality, increases the quality and quantity of satisfied needs and aspirations and reduces the burden of work, thus producing increasingly higher levels of progress in the entire economic system. This conceptual framework gives a simple answer: there is nothing metaphysical about this evolution towards unstoppable and irreversible progress, and it is produced by the spontaneous genesis and activity of selfish nodes and governed by the rules and laws of the production networks.

The author has identified ten “rules of selfish behavior” on the part of the nodes, whose application necessarily and inevitably produces three evolutionary dynamic processes “which refer to the network as an entity” which the author has called the “rules of the production networks” to emphasize their cogency: continual expansion, elasticity-resiliency and continual improvement in performance. The cognitive and creative processes that characterize the nodes do not allow us to predict the actual evolution of production networks; nevertheless, if it is assumed that nodes “consciously or not” follow the 10 “rules of selfish behavior”, then several typical trends, or behavioural schema, can be deduced which the author has called as the “laws of networks”, to highlight their apparent inevitability and cogency.

More than any other structure, Production Networks display Holland’s features and Arthur’s properties as their modules, viewed as autonomous entities with cognitive functions, represent a collectivity of agents that interact and exchange information with their environment to maintain over time their internal processes through adaptation, self-preservation, evolution and cognition, making individual and collective decisions as part of a network of micro behaviours.

This new conception of production through production networks, which takes into account the “rules” and “laws” regulating their behaviour, also sheds new light on the development of networks and their natural tendency to become globalized.

Although the concept of a network is becoming more popular in economic and business studies, it is yet to see an interpretation of production as deriving exclusively from the actions of increasingly larger networks. This paper presents an integrated view of production that does not discard the notion that production is carried out by organizations and companies but introduces the broader concept of the integration among organizations, which must be interpreted as nodes of a broader network that produces the flows of all the components needed to obtain the flow of a specific product. This represents an innovative view that will help us in understanding the difficulties policymakers encounter in governing production and controlling the basic variables that characterize it, specifically productivity, quality, quantity, prices and value. This perspective also allows to derive rules and laws for the behaviour of production networks that appear to be cogent and unvarying over time.

Traditional “hierarchical” and “network-centric management” approaches often associated with the management of well-defined construction projects lack the adaptability to cope with uncertainty, standardised practices and the required conformance to industry standards. The purpose of this paper is to propose an integrative “holonic” methodology for the management of megaprojects in the construction industry, which incorporates both adaptability and conformance to standards, and to illustrate the associated benefits of such a methodology.

A multi-case study comprising three cases delivered in the USA and Australia, namely the Adelaide Desalination Plant (ADP), the Seattle–Tacoma International Airport, and the Olmsted Locks and Dam Replacement project were utilized to demonstrate the key features of the hierarchical, network-centric and holonic approaches to managing megaprojects.

The case studies demonstrate incorporating the holonic approach into the management of complex construction projects results in increased management effectiveness and project success. The proposed “holonic” methodology provides the potential to efficiently manage megaprojects navigating through high degrees of uncertainty.

The adoption of the holonic view by project management (PM) practitioners will help them manage megaprojects that are characterised by greater complexity. Second, the proposed methodology enables the discipline of PM to evolve in alignment with rapidly unfolding global transformation trends.

This paper demonstrates the application of the “holonic” methodology to the domain of the management of construction megaprojects. Such an approach is needed as construction projects become increasingly more complex across the world due to technological, political and social uncertainties, larger scale, changing environmental and safety regulations, and the growing involvement of human factors germane to this research.

In the era of industry 4.0, managing the design is a challenging mission. Within a dynamic environment, several disciplines have adopted the complex adaptive system (CAS) perspective. Therefore, this paper aims to explore how we may deepen our understanding of the design process as a CAS. In this respect, the key complexity drivers of the design process are discussed and an organizational decomposition for the simulation of the design process as CAS is conducted.

The proposed methodology comprises three steps. First, the complexity drivers of the design process are presented and are matched with those of CAS. Second, an analysis of over 111 selected papers is presented to choose the appropriate model for the design process from the CAS theory. Third, the paper provides methodological guidelines to develop an organizational decision support system that supports the complexity of the design process.

An analysis of the key drivers of design process complexity shows the need to adopt the CAS theory. In addition to that, a comparative analysis between all the organizational methodologies developed in the literature leads the authors to conclude that agent-oriented Software Process for engineering complex System is the appropriate methodology for simulating the design process. In this respect, a system requirements phase of the decision support system is conducted.

The originality of this paper lies in the fact of analysing the complexity of the design process as a CAS. In doing so, all the richness of the CAS theory can be used to meet the challenges of those already existing in the theory of the design.

This paper addresses the implementation of ISO 9000 international standards in the university environment, and presents examples of developing a quality system based on these standards in a Canadian university department. The application is based on a holonic systems concept, which is first explained. Subsequently, a project plan for the design, documentation, implementation, and maintenance of an academic quality system is presented. Emphasis is placed on the effective structuring of the system, development of a set of product quality indicators accepted by faculty and staff, as well as non‐bureaucratic documentation. The systems concept allows for the integration of the ISO 9001 quality system with other systems, such as the ISO 14001 environmental management system. A university may decide on implementing both of these systems simultaneously, or incorporating one into the existing framework of the other. Positive synergy effects will occur in any case. The integration of such management systems in academia is also discussed.

Discusses the necessity for the conscious recognition of the phenomenon known as the extended enterprise; this demands that product, process and supply chain design are all considered simultaneously. Structure must be given to the extended enterprise in order to understand and manage it efficaciously. The authors discuss multiple perspectives for doing this, and employ the notions of “3‐dimensional concurrent engineering” and “holonic thinking” for conceiving what the structure may look like. Describes a current “action research” project that is investigating potential lead‐time reductions within an extended enterprise’s product introduction process. This aims to produce process visualisations, a framework for structuring and sychronising phases and stage‐gates within the extended enterprise, and a new simulation tool which will provide a synthetic distributed hypermedia network. These deliverables will be used to play strategic “games” to explore problem issues within the product introduction process that belongs to the extended enterprise, develop teamwork across autonomous companies, and ultimately, contribute to the design of future extended enterprise supply chains.

The purpose of this study is to identify factors that are important for logistics organizations from the perspective of manpower readiness for digitization of logistics operations. The study also prioritizes the identified factors and also evaluates the readiness index of manpower for the digitalization of logistics processes.

The factors for manpower readiness are identified through literature review and analysis of a case study. Three major categories of factors are identified. These are organizational, behavioural and technological factors. Under these three major categories of factors, 18 sub-factors are identified. Thereafter, with experts' inputs, the factors are prioritized using Fuzzy analytic hierarchy process (AHP). Further, a case illustration of an Indian logistics company has been taken to understand the current processes, technical capabilities, manpower skills and organization culture. After the case analysis and expert inputs, the manpower readiness index has been evaluated by using graph theory matrix approach (GTMA).

The prioritization of manpower readiness factors has been done using Fuzzy AHP. Organizational factors are found to be the most important factors which require quick attention. Sub-factors that are most important for building competencies in the logistics sector are providing the right training on functional skill development (0.129), top management support and commitment for digitalization (0.117), and organizational culture for process digitalization (0.114), etc. Finally, framework for evaluation of manpower readiness index for logistics operations in the digital age has been illustrated for a case company.

Indian logistics companies can benchmark their readiness index with respect to the best in the industry. Based on the readiness index, logistics companies can analyse their position, gaps from best and worst and can also identify potential areas for improvement.

The novelty of the study lies in the development of a framework for manpower readiness for digitalization in the logistics sector. In literature, this field is very less researched and provides the scope for developing strategies for improving manpower competencies for Industry 4.0. Logistics companies can improve their performance by making their manpower ready based on results obtained for readiness index.

It is all too easy in the hectic world of business to get too involved with the day‐to‐day managing of processes and events. When this happens it is difficult to see the wood for the trees and the automatic pilot syndrome takes over. This does not suggest that you do not know what you are doing ‐ on the contrary you are probably as switched on to whatever activity you are managing as anyone could be. What you could be missing, however, is the explanation as to why you are doing it. If this sounds familiar to you, what might be needed is a detached period from your work. By this I mean stay on the high ground for a while so you can get an overview of what you are doing and, more importantly, why you are doing it. How many managers, I wonder, get the opportunity to question what they are doing? If you allow yourself to slip into complacency then you and your organization will soon lose competitive advantage.