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Background: Educational institutions are strategic tools in disseminating knowledge on Sustainable Development Goals (SDGs) since education is an effective developmental tool. All the 17 SDGs are tied in one way or the other to education, that is, the ability of people to learn and apply. This study applies unorthodox theories which include convergence models, neo-functionalism, intergovernmentalism, neorealism and the Hofstede model to explain how educational institutions are an essential enabling environment which accelerates the attainment of SDGs.

Methods: These factors are analysed in the context of the new coronavirus (COVID-19) pandemic. Empirically, some university case studies were highlighted in addition to unclear modus operandi, small, fragmented and heterogeneous markets and economies, political stability, deficient political will, and lack of standardisation of products and procedures among other factors. These dynamics affect both the quality of educational institutions and the quality of education thereby directly or indirectly affecting the attainment of the 17 SDGs and are compounded with the emergence of the coronavirus pandemic.

Results: The study reveals that acceleration of the 17 SDGs will require a holistic approach as opposed to silos (scientific, economic, political, academic) which usually emerge when pursuing overarching goals of this magnitude.

Conclusions: It concludes that accelerating progress towards the attainment of SDGs will not only require dynamic and visionary leadership but also well-functioning institutions which are based on economic feasibility as opposed to political alliances. Priorities should be placed on addressing poverty, inequality and quality education. Moreover, partnerships will be key in achieving sustainability especially given that the COVID-19 pandemic has compounded existing challenges.

To identify features of teacher support associated with children who made accelerated progress in writing in an early literacy intervention.

Mixed methods were used to describe the paths, rates, variability, and potential sources of change in the writing development of 24 first grade students who participated in an early literacy intervention for 20 weeks. To describe the breadth and variability of change in children’s writing within a co-constructed setting, two groups who made high and low progress were identified.

We focus on one child, Paul, who made high progress (became more independent in the writing of linguistically complex messages) and the features of teacher support that this child received compared to those who made lower progress. We compare him to another child, Emma, who made low progress. Teacher support associated with high progress included a conversational style and flexibility to adapt to the child’s message intent as the student composed, supporting students to write linguistically more complex and legible messages, and supporting students to orchestrate a broad range of problem-solving behaviors while writing.

We describe how teachers can support children to gradually take control of the composition process, how they can recognize complexity in early written messages and we provide suggestions as to how teachers can systematically assess, observe, and support children’s self-regulation of the writing process.

The integration of technology into the workplace has resulted in a long trend of changing working conditions, from agriculture to today’s growing “knowledge economy.” This latest development depends on information technology, which may continue to evolve through eventual convergence with nanotechnology and biotechnology. Knowledge work places more emphasis on an expanded skill set, as opposed to the smaller set of specialized skills typically needed in an industrial economy. Future technological progress might lead to further enhancement of human potential or to even greater inequality (individual and national) in income distribution, generating even larger pressures toward the divisions in society. This is illustrated by recently proposed scenarios of accelerated and logistic growth of technological progress. In an attempt to understand these dynamics, a simple model is constructed to clarify a possible relationship between technology and social systems. The model, based on the technology maturation process, focuses on the delay in social systems in responding to a technological change. Examples of current problems of technology and social issues are reviewed in the model’s context. Some potential approaches to framing these problems from an ethical viewpoint are reviewed, including applying Rawlsian concepts of fairness and the “veil of ignorance” and applying a simple discount rate to balance perceived future risks, technological solutions, and uncertainty.

This chapter argues that organizations are not sustainable if they operate in unsustainable societal and ecological contexts, and that operating in a way that contributes to the health of the larger system requires organizations to develop new capabilities. It demonstrates the role that rich internal and external networks play in developing sustainability capability particularly in providing pathways to generate, import, apply, and disseminate knowledge about how to operate more sustainably.

The case study of the sustainability transition of Cleveland Clinic is based on four years of interviews and archival data collection examining the system’s transformational change that began in 2007. The case focuses on the building of sustainability capability, including an internal infrastructure to focus the organization on this outcome, and building of rich networks for learning and action. The case is framed with capability and network theory.

Guided and catalyzed by a small central group called the Office for a Healthy Environment, Cleveland Clinic has achieved measurable progress in key strategic focuses including waste diversion, energy efficiency, and increasing integration of local foods into its supply chain. To do so, it has developed strong internal networks to disseminate knowledge and accelerate innovation and adoption of sustainable practices. Strong, dynamic external networks have enabled Cleveland Clinic to import knowledge about sustainable practice from its environment, and have enabled it to help build the sustainability capability of its vendors, the community upon which it depends, and the health-care industry.

Starting with the perspective that the sustainability of an organization depends on the sustainability of the ecosystems in which it exists, this chapter focuses not on the design of specific sustainability initiatives, but on the dynamic networks that underpin the capability to simultaneously improve the health of the organization and of the larger ecosystem. This perspective provides insight into new organizing principles.

This study aims to examine the uptake of corporate social responsibility (CSR) in the Asia Pacific region and to explore the extent to which countries in the region are transitioning towards a sustainable enterprise economy (SEE) and the links between the two, thereby connecting the uptake of CSR at the organisational level to the configuration and transformation of societies.

In order to examine the uptake of CSR in the Asia Pacific region and assess the extent to which countries are transitioning towards the SEE, this study compiles data from a selection of CSR‐related indicators that are globally harmonised and globally recognised as well as national performance indicators that not only set the operational context for organisations but also help to measure the ultimate impacts of policies, practices and activities by organisations on national conditions.

Based on the preliminary study undertaken into global national indicators in the Asia Pacific region, there is a need for more comprehensive indicators that capture key elements of a SEE. The study envisages the creation of a “Global SEE dashboard” of actual, real‐time key performance indicators that can help facilitate stewardship by societies towards the Global SEE.

By underscoring the needs, opportunities and challenges for CSR capacity‐building in the Asia Pacific region and for countries to transition effectively towards the SEE, this study adds value to the efforts of public and private policy makers concerned with CSR, sustainability and governance as well as practitioners and members of civil society interested in responsible global citizenship.

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.

In this paper we appraise the ways in which use of closed-system proprietary product architectures versus open-system modular product architectures is likely to influence the dynamics and trajectory of new product market formation. We compare the evolutions of new markets in China for gas-powered two-wheeled vehicles (G2WVs) based (initially) on closed-system proprietary architectures and for electric-powered two-wheeled vehicles (E2WVs) based on open-system modular architectures. We draw on this comparison to suggest ways in which the use of the two different kinds of architectures as the basis for new kinds of products may result in very different patterns and speeds of new market formation. We then suggest some key implications of the different dynamics of market formation associated with open-system modular architectures for both the competence-based strategic management (CBSM) of firms and for technology and economic development policies of governments.

Specifically, we suggest how the use of open-system modular product architectures as the basis for new products is likely to result in dynamics of new market formation that call for new approaches to the strategic management of innovation and product creation. We also suggest technology and economic development policies favoring use of open-system modular architectures may stimulate new market formation and related economic development by providing platforms for accelerating technology development and dissemination, facilitating the formation of an industrial base of assemblers and component suppliers, assisting new firms in building customer relationships, enabling more geographically diffused economic development within countries, and facilitating development of export markets. We also suggest directions for further research into the potential for open-system modular product architectures to enable bottom-of-the-pyramid innovation processes, frugal engineering in developing economies, and development of low-cost product variations more generally.