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For decades now, industrial manufacturers’ complex product development (CPD) activities have seen various improvement approaches as well as product development (PD) support processes all in the quest to achieve shorter PD lead-times and higher return on investments. CPD process improvements, in terms of complex engineering design and delivery, still lack a lot more variance to be addressed on the “better, faster and cheaper” paradigm for efficient communication and information exchange flow processes. The paper aims to discuss these issues.

This paper presents employing social network theory analysis and statistical Pearson (r) correlation analysis in a triangulation approach to a proposed optimum conceptual information technology systems’ architecture and a “best practice” information flow process toward enhancing an industrial sustainable competitive advantage. Closed-end questionnaires were used to collect data for the scale or level of communication network from a sample size of eight Ship Power supply chain network complex engineering design and delivery systems-design teams with at least five members from each team.

Two extremely interesting findings and observations were identified from the analysis carried out (isolates and close-harmonic analysis) as well as the findings from the hypotheses’ testing. These essential analyses of the engineering systems-design teams were conducted by using the triangulation or mixed-method described in the abstract methodology identified above.

Effective and efficient real-time communication is seen as the vehicle for effective organization management. Although there may be some studies on effective technical communication in organizational and enterprise supply chain management settings, this research identifies a new robust and extensive analysis and feasible solutions to most of the communication bottlenecks and inefficient socio-industrial information flow processes, which need enhancement for industrial competitive advantage. Furthermore, the contribution of this paper further enhances the level 4 implementation aspect of the supply chain operation reference model in a replicable industry-specific perspective.

In small group settings, is it the position in social networks or the content of communication that constitutes a leader? Studies focussing on the content suggest that leadership consists in creating and promoting meanings, whereas studies focussing on the connections stress that it is the network position that ‘makes a leader’. These two dimensions of leadership communication style have not been compared yet. To fill this gap, this chapter applies an emerging approach – socio-semantic network analysis – to jointly consider the content of, and the connections, in leaders' communication. Using a multisource dataset, we empirically study the social network positions (social network analysis) and the content of communication (semantic network analysis) of three leaders in a creative collective. Our findings reveal that different styles of leadership make diverse use of the content and the connections in a small group. The academic and practical implications are outlined.

The purpose of this paper is to increase understanding about the key persons (promoters) in project business organizations. By doing this, the managers may enhance the communication flow by connecting the experts and the executives more efficiently.

The paper is an in-depth single case study in which the case represents a typical industrial project sales process. The case is analysed through content analysis and social network analysis that offers a structured and rigorous method of analysing social networks.

The findings indicate that during project sales there may be numerous process promoters with the dual roles of power and process promoter. In addition, this study demonstrated the appearance of process promoters in the project supplier's social network. The findings of the present study contribute to the literature on promoters by focusing especially on process promoters during project sales.

The results of the present study suggest that the process promoters need to be identified and supported in order to build an effective cross-functional project sales team in project business.

While the extant literature identifies the promoters in organizations, there appears to be a dearth of studies that relate to the early phases of project sales, despite the fact that these phases have a substantial impact on subsequent phases. This study is a rare example to study empirically the promoters in the project business organization's social network.

This paper aims to examine the dynamics of the communication network established within a multi-team system (MTS) and analyzes its implications for the MTS processes, emergent states and performance during a search and rescue operation.

The authors take a bifocal approach and combine both network analysis metrics and a qualitative analysis of the message content in addressing the research questions.

The findings illustrate the emergence of a decentralized network and that the extent to which decentralization is conducive toward MTS performance also depends on the density of the communication lines established among the component teams (CTs) and the communication content. Low density of the communication network was associated with impaired MTS processes and low effectiveness. Node centrality metrics indicate a limited connectivity between the leader of the operation and the MTS CTs, also with negative impact on MTS performance. Whereas, informal CTs become central to the MTS communication network and positively influence MTS performance during the last episodes of the mission.

This paper is among the first to use a social network approach to the study of MTS functioning and illustrates how the fluid structure of the MTS alters communication networks, which in turn influence other MTS processes, emergent states and overall performance.

To move beyond the literature definitions of knowledge work to provide insight into knowledge workers' identity within the organization.

For knowledge workers, the need to identify themselves as part of a collective within their work environment is important due to the fact that they function in an organizational environment where they do not have the benefit of a traditional, formal bureaucratic structure. By using a combination of network analysis and semantic network analysis, it was possible to gain a clearer understanding of who knowledge workers are and how their interaction creates a sense of identity among these workers, even in a flexible organizational environment.

Knowledge workers see themselves somewhat differently from what the literature predicts. They do engage in interaction to fulfill task needs as well as social needs, are well connected beyond their focal workgroup, and their interaction leads to a shared meaning and identity across this otherwise rather disparate and autonomous group of workers.

One of the limitations of this research is that communication events did not take into account the quality of the interaction. Future studies should include this aspect.

Perhaps by redefining what one feels is known about the elements of knowledge work and the organizational environment in which they work, and by pairing that knowledge with the communication network of these individuals, one can continue to explore both the essential essence and complexity of this new worker so that management of this worker can be optimized.

The authors link High-Involvement Work Systems (HIWS) with social network research both theoretically and methodologically by conceiving of these work systems as networks and by using network methods to better understand and evaluate these arrangements. Their approach is to integrate the institutional perspective of industrial relations with the analytical methodology of social network analysis. They use a longitudinal data set collected before and after the introduction of an HIWS in a pharmaceutical company to measure the impact on patterns of employee communication as well as communication between the union and management. Improvements were found in customer satisfaction, and positive effects were seen in the pattern and structure of organizational communication with an increase in the density of lateral and vertical interdepartmental communication, and a decrease in hierarchy. These results were confirmed using survey data on employee perceptions of particular types of communication and interviews with employees at various levels of authority.

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.

The purpose of this work is to study how different stakeholders of a football club engage with interactions online through Twitter. It analyses the football club’s Twitter network to discover influential actors and the topic of interest in their online communication.

The authors analysed the social networks derived from over two million tweets collected during football matches played by Manchester United. The authors applied social network analysis to discover influencers and sub-communities and performed content analysis on the most popular tweets of the prominent influencers.

Sub-communities can be formed around current affairs that are irrelevant to football, perhaps due to opportunistic attempts of using the large networks and massive attention during football matches to disseminate information. Furthermore, the popularity of tweets featuring different topics depends on the types of influencers involved.

The methods can help football clubs develop a deeper understanding of their online social communities. The findings can also inform football clubs on how to optimise their communication strategies by using various influencers.

Compared to previous research, the authors discovered a wide range of influencers and denser networks characterised by a smaller number of large clusters. Interestingly, this study also found that bots appeared to become influential within the network.

Understanding electronic communication and the patterns that characterize its development are critical to realizing full benefits from computer‐supported work. Cooperative work depends on effective communication and on the ability of organizations to manage the technology of communication appropriately. Organizations that do not understand the political and social dimensions of their communications system will inevitably fail to achieve their purposes.

Although a large contingency of theory and research has been conducted in the area of individual and interpersonal communication, relatively few theoreticians have focused on the broader character of communication at the organizational level of analysis. With the increasing emphases on total quality, leadership, adaptive cultures, process reengineering, and other organizational change and development efforts, however, the need to understand the process and function of organizational communication at a broader, more systemic level is paramount. The following paper attempts to address this issue by providing: (1) a comparative review and critique of three “classic” theoretical approaches to describing the importance of communication in organizations and the relationship between communication and organizational functioning (open systems theory, the information‐processing perspective, and the communication as culture framework); and (2) a new integrative framework—the CPR model of organizational communication—for conceptualizing and understanding the nature of communication in organizations based on constructs adapted from these three perspectives. The model is then used both in an applied example to help diagnose an organizational system and to stimulate suggestions for future research.