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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.

Network analysis is a well consolidated research area in several disciplines. Within management and organizational studies, network scholars consolidated a set of research practices that allowed ease of data collection, high inter case comparability, establishment of nomological laws and commitment to social capital motivation. This paper aims to elicit the criticism it has received and highlight the unsettled lacunae.

This paper sheds light on Network Analysis’s breakthroughs, while showing how its scholars innovated by responding to critics, and identifying outstanding debates.

The paper identifies and discusses three streams of criticism that are still outstanding: the role of human agency, the meaning of social ties and the treatment of temporality.

This paper brings to fore current debates within the Network Analysis community, highlighting areas where future studies might contribute.

New technology‐based ventures (NTBVs) gain access to beneficial social capital through their affiliation with technology incubators, organizations created to facilitate learning leading to the successful development of nascent firms. Scillitoe and Chakrabarti (2005, 2) identified three sources of beneficial social capital within human networks, “historical ties, organizational facilitation, and trustbased shared pursuit of common goals”, with organizational facilitation identified as the primary source of beneficial social capital for ventures within technology incubators. The current study extends this prior research investigating the development of social capital of NTBVs through incubator facilitation, focusing on the influence of female founders. Results are based on surveys collected from fifty‐four technology‐based firms affiliated with technology incubators in the United States and Finland. The results from this exploratory study show that the speed of technological learning is negatively affected by the interpersonal network access in firms with female founding management team members. Technological learning includes acquiring knowledge of legal protection of intellectual property, complex technological and scientific knowledge, and design and production skills that enable the development and commercialization of NTBV products and services (Deeds, DeCarolis, and Coombs, 1999). This finding contradicts prior research that suggests technological development of ventures is positively influenced by interpersonal network access through incubators (Hansen, Chesbrough, Nohria, and Sull 2000; Scillitoe and Chakrabarti 2005). Implications for technology incubator managers, NTBV founders, and economic development agencies that support technology incubators are discussed.

The aim of this paper is to analyze the impact of an entrepreneur's social capital on their access to information, and how such access improves the performance of their entrepreneurial project.

A structural equations model (SEM) is estimated and validated from a database including information from 282 Argentinean entrepreneurs who answered a questionnaire specifically designed for this research. The analysis of this model allowed the impact of dependent latent variables on the performance of the start‐up to be determined.

The performance of an entrepreneurial project depends on an entrepreneur's access to finance, markets and information. Specific dimensions of social capital facilitate access to these resources: the relational dimension facilitates access to information; the resources dimension makes access to finance easier; the structural dimension helps the entrepreneur to access markets.

The sample is not large enough to analyze differences among specific types of entrepreneurial projects: for instance, the role of social capital in industrial and service entrepreneurship (activity sector), the differences between the federal capital, Buenos Aires, and the rest of the country (location), and between female and male entrepreneurs (gender).

The results help in understanding which dimensions of an entrepreneur's social capital facilitate access to information and how these specific dimensions enhance the performance of the project. Hence, this paper has managerial and policy implications for the generation of dynamic entrepreneurial projects capable of becoming development drivers.

The purpose of this paper is to examine the collaboration strategies employed by collaborating small‐ and medium‐sized enterprises (SMEs) and university researchers for initiating and optimizing the process and outcome of R&D collaboration.

The paper is based upon a qualitative study of the total population of university departments and SMEs involved in collaborative research projects sponsored by a new governmental programme in Denmark, the aim of which was to build new R&D alliances between industry and universities.

The findings show how partners choose to pursue difference short‐ or long‐term strategies to optimize the process and outcome of university‐industry (UI) collaboration. Some collaborations were thus informed by a short‐term strategy aimed at achieving immediate R&D results. However, to a high extent, many SME partners relied upon a long‐term strategy aiming at developing UI relations beyond the immediate project and practical learning. A variety of shifting strategies shape researchers' decisions during UI collaborations, which thus convey different notions of success.

The findings of the present research point to the importance of taking the diverse reasons and micro strategies informing collaborative efforts into account when studying UI collaborations.

Different strategies may prove successful in optimizing the outcome of UI collaborations depending upon, e.g. partners' previous collaborative experiences. Policies should incorporate some openness towards the differential premises and reasons for UI collaboration.

Relatively little research has addressed the development of UI relationships from the micro‐level perspective of the discretionary decisions and strategies of collaborating researchers.

This paper aims to identify four areas in need of future research to enhance the theoretical understanding of scenario planning (SP), and sets the basis for future empirical examination of its effects on individual and organizational level outcomes.

This paper organizes existing contributions on SP within a new consolidating framework that includes antecedents, processes and outcomes. The proposed framework allows for integration of the extant literature on SP from a wide variety of fields, including strategic management, finance, human resource management, operations management and psychology.

This study contributes to research by offering a coherent and consistent framework for understanding SP as a dynamic process. As such, it offers future researchers with a systematic way to ascertain where a particular study may be located in the SP process and, importantly, how it may influence – or be influenced by – various factors in the process.

This study offers specific research questions and precise guidelines to future scholars pursuing research on SP.

A study of the published statements of Australian school administrators revealed that two distinctive configurations of power and service relationships are projected in their publically presented images of state school administration as it relates to government and the public. A previous Traditional Centralist‐Unity configuration is now being replaced by an Emergent Devolution‐Diversity conformation. Analysis was directed to (a) understanding the significance of the two images in terms of their function as public communications, and (b) accounting for the shift in the imagery in the light of pressures for change, the way administrators are interpreting change as turbulence, and the projection of counter images incorporating critiques of government school systems. To help organise analysis, it was assumed that images of system administration have the potential to communicate: 1. information, 2. explanation, 3. judgements and value positions, 4. statements designed to advance sectional interests, and 5. themes and persuasive symbols. It was also assumed that the shift in the public images of administrators may be studied in the way their images relate to three basic sources of administrative tension: tensions which arise from problems of meaning, problems of aspiration, and problems of practice.

By drawing on theories of social identity, attraction, social comparison and consumer identification, this research seeks to examine how consumers' perceptions of other customers of an organisation (the other customer effect) may have an influence on corporate image and consumer‐company identification. This study aims to test a model integrating these constructs in two contexts, i.e. products and services. It also seeks to investigate the attitudinal and behavioural consequences of a favourable corporate image in order to provide more insights to the argument that a corporate marketing approach helps to enhance marketing performance.

A survey of a convenience sample of 383 adult consumers is conducted. Structural Equation Modelling (SEM) is employed in order to test the proposed model. An alternative model is examined both in products and in services contexts.

The results indicate that perceptions about other customers influence customers' affective and behavioural reactions towards a company for both products and services. This finding suggests that corporate‐level marketing activities aiming to increase interaction among consumers lead to favourable corporate image and higher consumer‐company identification and hence desirable marketing outcomes. Furthermore, results show that for services the other customer effect is more prominent than for product offerings.

This study extends the concept of other customer effect to the context of corporate image and consumer‐company identification studies. It provides evidence that shifting towards corporate‐level marketing gives organisations another avenue for gaining a distinct position in the minds of consumers. Furthermore, by addressing both service and product contexts, it shows that other customer effect may exist beyond services studies.

As coopetition often characterizes relationships in ecosystems, social factors are particularly important to ensure resilient and reliable relationships, therefore efficient collaboration, and a corresponding outcome. Social factors have so far only been considered as peripheral factors in the ecosystem literature. Thus, this study aims to analyse the current state of literature to provide initial insights into the impact of social factors on value co-creation in supply chain ecosystems.

A structured literature review was conducted. Eleven articles were identified which explicitly examined social factors in the context of supply chain ecosystems.

The findings showed that in current research contributions, especially three social factors are considered crucial for value co-creation within supply chain ecosystems: trust, commitment and mindset. Moreover, researchers focus so far only on positive-affected social factors.

The findings enable ecosystem orchestrators as well as actors to strengthen social factors in supply chain ecosystems. The cultivation and proactive consideration of social factors is crucial for efficient and effective collaboration and has a corollary effect on supply chain ecosystems value co-creation.

This paper extends the limited literature on social factors within supply chain ecosystems, notably from a strategic management perspective. The findings help scholars to understand why social factors do play a crucial role regarding the value co-creation in supply chain ecosystem and how specific social factors influence the overall business outcome. By raising awareness of the importance of social factors for all ecosystem actors, complementary cooperation in the ecosystem improves, which in turn has a positive impact on value co-creation.

This paper describes an empirically derived typology of the verbal networks of 66 organizations from diverse industrial environments in Brazil and the United States and speculates about the possible origins and dynamics of network configurations across organizations. We identified three distinct configurations of verbal networks: high‐density, low‐factionalism, weak‐tie networks; low‐density, high‐factionalism, strong‐tie networks; and an intermediate category with high factionalism in frequent ties but a preponderance of weak ties and intermediate density. The different types were associated with different degrees of volatility and munificence in industrial environment and with different proportions of Brazilian and U.S. firms.