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The purpose of this paper is to demonstrate how network theory and methods can provide insights into the forces shaping architectural learning agendas and knowledge construction in architectural schools.

The methodology involves conceptualising learning as a constructivist process and the agenda as an interconnected network of actors, concepts and relations. Network analysis techniques, including centrality and brokerage metrics, are used to identify roles and knowledge flows using the data locally collected from Turkish universities as well as from the OpenSyllabus open-source database.

The analysis reveals the enduring influence of early modernists, signalling imbalanced canon formation in the architectural learning system. However, marginal voices highlight struggles in integrating unconventional perspectives. Limited integration of local figures indicates a consolidation of Eurocentric epistemes. Identifying these hidden forces is vital for reimagining learning agendas and socio-culturally engaged forms of learning. Pioneering figures demonstrate potential for synthesis when situated as brokers, not bifurcated schools.

The outcomes are limited by the geographical and temporal boundaries of the data and the analysis method employed. Despite limitations, the diagnostic network framework reveals architectural learning as an open, contested ecosystem demanding pluralistic pedagogies concerning not only the global but the local, both canonical and marginal. Further research covering more data could enrich the understanding of qualitative complexities.

The network perspective prompts critical reflexivity about power, ideology and exclusion in knowledge construction. Strategic inclusion and diversification of voices provide pathways to bridge divides and ground learning locally.

This research offers a methodology model to examine forces and influences shaping architectural education by elucidating hidden and remote roles and knowledge gaps in learning agendas. Extending the techniques more widely can enable strategic interventions toward inclusive, impactful learning across disciplines, time and geographies.

Networks and learning matter to small- and medium-sized enterprises (SMEs). Networks and learning are also further elaborations on the exploration–exploitation (EE) dilemma. Ambidexterity, that is, managing this apparent dilemma, can be difficult as a result of many constraints. One of these constraints is that of mutually exclusive network structures. Consequently, ambidexterity is the ability to change networks, depending on need using mixed data on four small companies formed as part of an undergraduate management class, I hypothesize how specific network properties of the advice-seeking relationship, including density, cohesion, centralization, and embeddedness, affect two outcomes. Specifically, early exploratory learning is proposed to be positively affected by less-dense networks that maintain cohesion without centralization and do not have relations embedded in other relations. In contrast, later exploitative learning should be associated with denser networks that also have higher cohesion, higher centralization, and greater embeddedness. The results provide some support for these hypotheses and suggest further research in two areas that will benefit SMEs. One, how do early networks affect learning mode? Two, how does the ability to rewire networks provide the relational infrastructure to shift from exploration to exploitation – that is, to be ambidextrous in the face of the exploration–exploitation tradeoff?

Reflecting on 25 years of collaborating in action learning research initiatives in interorganizational settings, the authors have framed three key theoretical contributions: (1) a formula for action learning in networks, (2) the notion of action learning research, and (3) the application of action learning research in networks. This chapter reviews how each of these three key theoretical contributions emerged as insights and were developed over time through three large-scale funded interorganizational action learning projects. The chapter provides insights into the process of theorizing as the authors show how these frameworks emerged through inquiry into experience and were consolidated through collaborative action as practice-based research, research as practice, and practice as research toward designed-in impact.

Professional inquiry networks are becoming essential features of effective, innovative, and responsive school systems. In this chapter, the authors draw from their work with a team of British Columbia district leaders who use inquiry as a primary means for shifting practice and supporting innovation and change that benefit all learners. The authors argue that networking enables ways for districts to share emerging practices, engage in collective dialogue, draw from exemplary research, and deeply reflect on impacts. In doing so, leaders build strong relational ties and professional capital that accelerates innovation between and among district leaders. Two specific cases develop a deeper understanding of how change is taken up and accelerated at the local level, providing examples of how inquiry networks operate across multiple sites and simultaneously seed and nurture innovative thinking.

The chapter describes and reflects upon an EU-funded research initiative, TRADEIT, which has attempted to develop a learning network among European traditional food producers as one way of contributing to the economic sustainability of the ventures, the social sustainability of the food’s regional character and the environmental sustainability of food production through the use of traditional methods.

The chapter describes TRADEIT before moving on to an exploration of learning in organizations and networks. It outlines the action learning research methodology developed and implemented to explore the development of a learning network in TRADEIT. A single case history is presented to illustrate the engagement of a small food producer in the network.

The discussion reflects on the application of action learning in supporting sustainability evident in TRADEIT.

The chapter focuses on the application of action learning in the development of a learning network among traditional food producers across Europe.

This chapter focuses on learning networks. The authors describe the six facets of knowledge networks for learning contexts. The importance of three facets is called out, including geography, topology, and nodes. The authors provide four networks, including pedagogy networks – that is, teachers, certification and professional learning networks, school networks, and informal and collaborative learning networks.

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.

Social networking platforms such as Facebook have infiltrated the lives of many students, and as such it is natural to consider how they can be effectively used to enhance learning. This chapter provides a comprehensive review of social networking in education from a design perspective. Social networking is defined based on Boyd & Ellison’s seminal definition of connected profiles, and is distinguished from social media for the purposes of investigation. Facebook, Edmodo, and other social networking platforms are briefly described, before summarizing the wide variety of social networking usage reported in the research literature. The various benefits of social networking in education are distilled from the literature, including their capacity to facilitate community building, collaboration, reflection, and expedient access to learning. Issues surrounding the educational use of social networking are also organized into themes, for instance privacy concerns, distraction, cyber-safety, and technical constraints. The implications of findings from the social networking literature are synthesized into learning design and implementation recommendations. The chapter concludes with a discussion of open questions and areas for further investigation.

The purpose of this paper is to examine how collaborative service development in a public-private citizen innovation network can be approached as an organizational learning process. Although the importance of learning in networks has been highlighted in earlier studies, the actual processes and outcomes have remained less studied, especially in the public service context.

The approach taken is based on the theory of expansive learning. The empirical data were gathered in a qualitative case study that focused on a public service organization developing new activities for unemployed youth. The network around this focal organization consisted of citizens as end-users, private employers and a facilitating consultancy company.

The findings illustrate how and what was learned in the complex network setting and how this learning created potential for collaborative service development in the future. Importantly, the public service organization started to perceive itself as an active agent enhancing collaboration.

The study revealed important interfaces between service development, organizational learning, and innovation activities in networks. This observation is in line with the service-dominant logic, particularly with its focus on actor-to-actor relationships in value co-creation.

The importance of facilitation – particularly for the emergence of the agency of the focal organization – should be taken into account in the development of networked service innovations.

This study illustrates how expansive learning theory may contribute on deepening understanding of the practical collaboration processes, as well as conceptual aims and outcomes of networked service innovations.

The purpose of this paper is to discuss how communication and cooperation in inter‐organizational networks may bring about organizational learning. A case study of 13 inter‐organizational school networks in Germany is carried out for this purpose.

Results of a quantitative survey assessing the performance of the 13 networks are presented. A subsequent qualitative survey of two highly innovative networks takes into account the learning effects in school practice. The analysis is predicated on an activity theoretic view on learning and development.

Two levels of consideration are distinguished: the learning platform where representatives of the schools regularly meet and the operational work at the schools. The perception of how the representatives in the network learned how the colleagues at the schools who are not directly involved learned and how the school as a whole learned is appreciated differently. Outcomes vary from “exchange of new ideas” to “implementation of school development.”

The paper is based on empirical research carried out at one point in time. A longitudinal study of inter‐organizational network performance could shed more light on the dynamic validity of the model.

Understanding networks allow to appreciate their outcomes. The outcomes of this paper provide guides on how to design more effective learning networks.

The conceptual model distinguishes between two network levels, its interrelated learning effects and the different stages of learning and development. Learning networks can be assessed due to the learning categories, and success factors can be identified.