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This study aims to demonstrate the importance of organizational networks in organizational performance is relatively rich; less understood are processes in organizational networking that entrepreneurs and organizations use in making sense of rapidly changing contexts for organizational performance.

This study conducts an exploratory organizational-level narrative analysis into firms’ experiences in two major emerging markets (EMs), namely, Russia and India – to identify organizational networking processes in the midst of institutional upheavals. The study is based on in-depth case studies of firms in EMs sourced from interview data from senior management and consolidated with secondary data.

The authors find that initially firms rely on informal networks (including blat/svyazi and jaan-pehchaan/jan-pehchan) and later formal (in the form of bureaucratic followed by proprietary) networks to make sense of the changes and uncertainties in turbulent environments. The authors also demonstrate the cyclical nature of strategic sensemaking in the process of developing organizational networks for performance.

The study has a number of theoretical and practical contributions. First, it extends the well-established business networking construct to a more inclusive organizational networking construct. Second, it demonstrates that sensemaking is dependent on interorganizational networking from the outset and throughout the growth of an organization in turbulent markets – from informal to formal bureaucratic and proprietary networks. Finally, this study is unique in documenting the entire process of sensemaking from scanning to performance as well as successfully demonstrating the cyclical nature of sensemaking.

The purpose of this paper is to address the key issues, how organizational networks influence the strategic business performance (SBP) through the mediating role of organizational flexibility, and the moderating role of entrepreneurial orientation (EO). Contextualizing small and medium enterprises in developing countries, the authors have developed and tested a theoretical model of SBP to provide a framework for analyzing its major antecedents.

This research used a quantitative approach with cross-sectional data. The authors used correlation, regression and Baron and Kenny Approach (Causal Step Approach) for analyzing the data collected from 737 CEOs/MDs/owners of different small and medium enterprises to test the theoretical model developed for this study.

Findings revealed that organizational flexibility mediates the relationship between organizational network and SBP. Furthermore, stronger EO strengthens the relationship between organizational flexibility and SBP.

This study contributes in two ways: first, it provides empirical evidences that how to flourish the mechanism of SBP in SMEs. Second, this work contributes to understand the effects of organizational networks, flexibility and EO on SBP.

Organisations involved in relief delivery tend to have cross-boundary mandates, which cause ambiguity of roles during delivery of relief services to the targeted victims. Having no clear role, specialisation affects service timeliness and increases resource duplication among the relief organisations. The objective of this study is to understand how organisational networks and organisational learning as complex adaptive system metaphors improve both organisational adaptability and role clarity in humanitarian logistics.

Using ordinary partial least squares regression through SmartPLS version 3.3.3, the authors tested the study hypotheses basing on survey data collected from 315 respondents who were selected randomly to complete a self-administered questionnaire from 101 humanitarian organisations. Common method bias (CMB) associated with surveys was minimised by implementing both procedural and post statistics methods.

The results indicate that organisational networks and organisational learning have a significant influence on organisational adaptability and role clarity. The results also show that organisational adaptability partially mediates in the relationship between organisational networks, organisational learning and role clarity.

The major limitation of the study is that the authors have used cross-sectional data to test this research hypotheses. However, this was minimised following Guide and Ketokivi's (2015) recommendation on how to address the limitations of cross-sectional data or the use of longitudinal data that can address CMB and endogeneity problems.

Managers in humanitarian organisations can use the authors’ framework to understand, first, how complex adaptive system competence can be used to create organisational adaptability and, second, how organisational adaptability can help organisational networks and organisational learning in improving role clarity among humanitarian organisations by collaboratively working together.

This research contributes to the existing body of knowledge in humanitarian logistics and supply chain management by empirically testing the anecdotal and conceptual evidence. The findings may be useful to managers who are contemplating the use of organisational networks, organisational learning and organisational adaptability to improve role clarity in disaster relief-related activities.

The purpose of this paper is to propose a theoretical-conceptual model supporting the analysis of the effects of small- and medium-sized enterprises (SMEs) networks on knowledge management (KM) and intellectual capital (IC).

The paper reviews literature on KM, IC and networks theories. The role of SMEs networks on KM and IC was discussed, analysing previous studies that supported the proposition of the model in question. In such model SMEs networks are seen as knowledge networks which are analysed in terms of the network formation process, the context, the strategy, the organisational culture and the stimuli for the sharing of knowledge. KM is observed in terms of knowledge creation, systematisation and sharing. Finally, IC encompasses human capital, structural capital and relational capital. It is noteworthy that KM and IC were considered deeply and closely related.

The conclusions obtained help to fill an important gap in the management, accounting, KM and IC literature, showing that the processes of creating, acquiring, maintaining, systematising and sharing information and knowledge and IC generation in SMEs networks can be influenced by the network formation process, by the organisational context, as well as by the strategy, organisational culture and stimuli to sharing knowledge.

The paper provides a theoretical contribution by increasing understanding of the effect of SMEs networks on KM and IC practices – an understanding still at the early stages in the literature. Moreover, the originality of the model proposed extends the relevance of this research, as the literature does not contain a sufficiently established and tested approach that simultaneously provides a clear view of the relations between SMEs, networks, KM and IC, highlighting how SMEs can use networks as a strategy to achieve a more effective management of the knowledge assets forming IC. So, the paper offers several avenues for future research.

Based on previous empirical research, it was perceived that the original model presented in this paper is consistent, collaborating to improve management practice, providing a competitive benchmarking process. This can allow analysts, managers and other decision makers, by using SMEs networks to improve organisational performance, innovation, sustainability, competitiveness and value.

The paper presents an innovative theoretical-conceptual model focussed on the role of SMEs networks on KM and IC, indicating a strong link between the former and the latter in such enterprises in terms of performance, innovation, sustainability, competitiveness and value, an issue whose understanding, although quite relevant, is still incipient in the literature.

This paper aims to contribute toward the extension and further development of the social exchange theory. It provides conceptual insights on social networks in geographically dispersed organizations, and how intra-organizational social interactions influence organizational behavior, employees relationship exchange inclination and innovation drive.

A thematic literature review method was used to conduct an extensive review of relevant literature.

Guided by the tenets of the social exchange theory, the authors’ analysis and discussions elucidate how intra-organizational social network architecture can be developed, supported and utilized to drive innovations in geographically dispersed organizations.

A general limitation and perhaps also a strength of this type of conceptual paper is that it is a synthesis (thematic discursive analysis) of existing theory and published research. Thus, there are no primary empirical content. However, the issue of empirical evidence is nevertheless mediated by the fact that the discussions and argumentation process generate key propositions which could be validated in subsequent research endeavors. Also, the selection of relevant literature is restricted specifically to the topic of the study. The authors strived to ensure rigor through a robust and comprehensive literature review which was organized thematically according to all the key words in the main and sub-topics covered in Section 2.

The insights presented suggest that management should pay serious attention to organizational design – that is, not only from the conventional contractual obligations point of view, but rather, the increasing importance of social capital should also be given some priority when thinking of resilient ways to encourage collaborations and efficient knowledge management. In other words, intra-organizational social network architecture should be considered as organizational capability and utilized as a toolset for the SIHRM to harness knowledge flow and unleash innovation.

As both bonding and bridging ties are not only critical for success of project teams but also intensify knowledge symmetry across different units of the organization, they are a major conduit for sustainable open innovation culture within organization. To develop competitive capabilities throughout the organization, it is important for the SIHRM to be involved in global networking, and as a network leader, the human resource management function must have an awareness of leading trends and developments in social networking. The ability to mobilize the appropriate resources and a sense of timing and context in implementing such architecture within the geographically spread organization is crucial.

The novel contribution of this paper is twofold. First, the study provides an implementable framework which scholars and practitioners could use to develop and test the actualization of an intra-organizational social network architecture in a geographically dispersed organization. Second, the study has provided some key propositions and a well-grounded direction for further research to inspire further development/extension of the social exchange theory.

Organizations are increasingly joining inter-organizational networks to foster sustainable employability for their employees. The purpose of this study is to identify the factors and mechanisms central to their success as experienced by key stakeholders.

An explorative, qualitative approach was adopted, using four focus groups with network coordinators (N = 18) and HR professionals (N = 14). Fourteen Dutch inter-organizational networks were represented. Respondents were recruited through purposive and snowballing sampling techniques. Thematic analysis was applied using open coding to generate themes.

The results of this study outline environmental, structural, and inter-personal factors and mechanisms that contribute to the success of inter-organizational networks that aim to foster sustainable employability for their employees. The environmental factors and mechanisms consist of challenges stemming from the labor market. The structural factors and mechanisms include: a network’s flat structure, flat fee, lack of informal rules, the allocation of roles and expectations for stakeholders and shared network activities. Lastly, the inter-personal factors and mechanisms are: communication among stakeholders, establishing reciprocity, interaction and collaboration between stakeholders, the valuation of trust, a convivial culture and shared vision among stakeholders. The dynamics between these factors and mechanisms are compared to other forms of inter-organizational networks. Furthermore, several recommendations for network coordinators and practitioners regarding the development of networks are presented.

This study provides insights into the factors and mechanisms that are regarded by stakeholders as influencing the success of inter-organizational networks in their ability to foster sustainable employability for workers. We have identified a unique model that captures this new way of inter-organizational collaboration and builds on insights from literature on collaborative governance regimes, institutional fields and entrepreneurial ecosystems. Specifically, the model provides a framework that consists of environmental, structural and interpersonal factors and mechanisms for network success. This study increases our understanding of how collaborative efforts can be fostered beyond organizational boundaries and existing Human Resource Management practices.

Abnormal behaviors such as rework, backlog, changes and claims generated by project organizations are unavoidable in complex projects. When abnormal behaviors emerge, the previously normal state of interactions between organizations will be altered to some extent. However, previous studies have ignored the associations and interactions between organizations in the context of abnormal organizational behaviors (AOBs), making this challenging to cope with AOBs. As a result, the objective of this paper is to explore how to reduce AOBs in complex projects at the organizational level from a network perspective.

To overcome the inherent limitations of a single case study, this research integrated two data collection methods: questionnaire survey and expert scoring method. The questionnaire survey captured the universal data on the influence possibility of AOBs between complex project organizations and the expert scoring method got the influence probability scores of AOBs between organizations in the case. Using these data, four organizational influence network models of AOBs based on a case were developed to demonstrate how to destroy AOBs networks in complex projects using network attack theory (NAT).

First, the findings show that controlling AOBs generated by key organizations preferentially and improving the ability of key organizations can weaken AOBs network, enabling more effective coping strategies. Second, the owners, government, material suppliers and designers are identified as key organizations across all four influence networks of AOBs. Third, change and claim behaviors are more manageable from the organizational level.

Project managers can target specific organizations for intervention, weaken the AOBs network by applying NAT and achieve better project outcomes through coping strategies. Additionally, by taking a network perspective, this research provides a novel approach to comprehending the associations and interactions between organizations in the context of complex projects.

This paper proposes a new approach to investigating AOBs in complex projects by simultaneously examining rework, backlog, change and claim. Leveraging NAT as a novel tool for managing the harmful effects of influence networks, this study extends the knowledge body in the field of organizational behavior (OB) management and complex project management.

This paper aims to explore changes in communication networks during organizational crisis. In the literature, various terms such as organizational mortality, organizational death, bankruptcy, decline, retrenchment and failure have been used to characterize different forms and facets of organizational crisis. Communication network studies have typically focussed on nodes (e.g. individuals or organizations), relationships between those nodes and subsequent affects of these relationships upon the network as a whole. Email networks in contemporary organizations are fairly representative of the underlying communication networks.

The changing communication network structure at Enron Corporation during the crisis period (2000-2001) has been analyzed. The goal is to understand how communication patterns and structures are affected by organizational crisis. Drawing on communication network crisis and group behaviour theory, three propositions are tested: communication network becomes increasingly transitive as organizations experience crisis; communication network becomes less hierarchical as organizations are going through crisis; and communication network becomes more reciprocal as organizations are going through crisis.

In this research analysis, the support of these three propositions was noticed. The results of tests and their implications are discussed in this paper.

This study builds on an emerging stream of research area that applies social network analysis to organizational interaction data to study various questions related to organizational change and disintegration. These findings could help managers in designing an effective approach to monitor regular functionalities of their organizations.

To coordinate humanitarian organisations with different mandates that flock the scenes of disasters to save lives and respond to varied needs arising from the increased number of victims is not easy. Therefore, the level at which organisations self-organise, network and adapt to the dynamic operational environment may be related to inter-organisational coordination. The authors studied self-organisation, organisational networks and adaptability as important and often overlooked organisational factors hypothesised to be related to inter-organisational coordination in the context of humanitarian organisations.

The study’s sample consisted of 101 humanitarian organisations with 315 respondents. To decrease the problem of common method variance, the authors split the samples within each humanitarian organisation into two subsamples: one subsample was used for the measurement of self-organisation, organisational network and adaptability, while the other was for the measurement of inter-organisational coordination.

The partial least square structural equation modelling (PLS-SEM) analysis using SmartPLS 3.2.8 indicated that self-organisation is related to inter-organisational coordination. Organisational network and adaptability were found to be mediators for the relationship between self-organisation and inter-organisational coordination and all combined accounted for 57.8% variance in inter-organisational coordination.

The study was cross sectional, hence imposing a limitation on changes in perceptions over time. Perhaps, a longitudinal study in future is desirable. Data were collected only from humanitarian organisations that had delivered relief to refugees in the stated camps by 2018. Above all, this study considered self-organisation, adaptability and organisational networks in the explanation of inter-organisational coordination, although there are other factors that could still be explored.

A potential implication is that humanitarian organisations which need to coordinate with others in emergency situations may need to examine their ability to self-organise, network and adapt.

Social transformation is a function of active social entities that cannot work in isolation. Hence, for each to be able to make a contribution to meaningful social change, there is need to develop organisational networks with sister organisations so as to secure rare resources that facilitate change efforts coupled with the ability to reorganise themselves and adapt to changing environmental circumstances.

The paper examines (1) the extent to which self-organisation, adaptability and organisational networks influence inter-organisational coordination; (2) the mediating role of both adaptability and organisational networks between self-organisation and inter-organisational coordination in the context of humanitarian organisations against the backdrop of complex adaptive system (CAS) theory.

The purpose of this paper is to focus on the interaction process between organizations of a knowledge network as a means to promote learning. In particular, the authors aim to answer the following research questions: how do dyadic and network relationships contribute to inter-organizational creation and transfer of knowledge? More specifically, which joint activities between organizations facilitate inter-organizational learning within a knowledge network? That is, the authors are interested in the relationship processes for inter-organisational learning, aiming to identify and understand the joint activities through which organizations within an institutional network generate and transfer knowledge.

Aiming at studying how six institutional actors generate and transfer knowledge, the existing dyadic relationships between a focal actor (a technological center of the textile and clothing industry – CITEVE) and each one of the other five institutional actors were studied. In the study of this knowledge network the authors analyzed several documental sources and carried out 19 interviews.

This study shows how dyadic and network relationships contribute to inter-organisational creation and transfer of knowledge. It assesses several joint activities through which organizations in the studied network learn with each other and compares the five dyadic relationships in terms of their distinctive features. Through the cooperative effort based on joint activities between actors, the studied network generates complementary and multidisciplinary knowledge aiming to promote network learning of the studied organizations. Management implications and suggestions for further research on network learning are discussed.

This paper adds to the literature on network learning and management by empirically illustrating how a network of organizations in a given industry contributes to knowledge generation. It is an original contribution because, first, it allows a better understanding of how organizations of a knowledge network interact and contribute for network learning. In particular, the paper identifies a large number of joint activities for inter-organizational learning in the context of a traditional industry. Second, the research shows empirically how such interaction and learning occur in practice within a network context that comprises only institutional actors.