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This chapter explores how the recognition of opportunities regarding developing technology and entering a new market is influenced by the systemic effect of social forces. These include institutions, social networks and the entrepreneur’s cognitive frames. This study adopts a longitudinal perspective by capturing and analysing the phenomenon in two moments: first, when the businesses started to operate domestically and second, when they began to internationalise. The cases of five Brazilian technology firms are analysed. The findings reveal the systemic and mutually reinforcing effect of these social forces on the recognition of opportunities. The entrepreneurs’ cognitive frames were particularly vital in recognising opportunities to enter the Brazilian market. The institutional support provided by universities along with government mechanisms and entrepreneurs’ social networks were essential to accrue experiential and non-experiential knowledge of international markets, therefore contributing to the recognition of international opportunities. The temporal perspective employed in this research assists the understanding of how historical events shape entrepreneurs’ capabilities to recognise and change company discourse to pursue the recognition of international opportunities. The results provide guidelines for researchers, practitioners and policy-makers, particularly in the emerging economies in Latin America, to support the growth and flourishing of entrepreneurial ventures through pursuing international opportunities.

In this article, I propose a theory of network opportunity emergence. The core of the argument is that as an overall industry network structure becomes centralized, opportunities emerge for new entrants. As the institutional environment evolves toward a centralized network flow structure, innovators can identify newly emerged rich resource niches that serve as the perfect breeding ground for an entrepreneurial start-up. While the framework is an aggregate level conceptualization of market opportunities, it also identifies specific actionable opportunities at a very micro level. Examples from the networks of the airline industry illustrate the logic. I conclude by discussing the innovation and entrepreneurship implications for a wide variety of industries and network tie types, calling for utilization of the framework to answer a broad variety of research questions.

Few researchers and even fewer practitioners would deny that serendipitous events play a central role in the growth process of firms. However, most international marketing models ignore the role of serendipity in the opportunity discovery process. The authors provide a nuanced view on international opportunities by developing the role of serendipitous opportunities in the foreign market entry process. The authors develop a model integrating the notions of serendipity, entrepreneurial logic, experiential knowledge and network knowledge redundancy. From the study’s model, the authors condense three sets of hypotheses on the relationships among experiential knowledge and entry strategy, network knowledge redundancy, entry strategy and serendipity.

The authors confront the study’s hypotheses with data collected on-site at 168 Swedish firms covering 234 opportunities, and to test the hypotheses, the authors ran ordinary least squares (OLS) regression tests in three steps.

The results of the study’s analysis reveal that experiential knowledge and network knowledge redundancy both lead to a logic based on rigid planning and systematic search, which in turn reduces the likelihood that serendipitous opportunities will be realized in the foreign market entry process.

This is the first study that develops a measure of opportunities that are the outcome of serendipitous events. In addition, the authors integrate network and learning theories and internationalization theory by establishing antecedents to, and outcomes of, the entry strategy.

The purpose of this paper is to explore two distinct subsets of dynamic capabilities that need to be deployed when pursuing innovation through inter-organizational activities, respectively, in the contexts of broad networks and specific alliances. The authors draw distinctions and explore potential interdependencies between these two dynamic capability reservoirs, by integrating concepts from the theoretical perspectives they are derived from, but which have until now largely ignored each other – the social network perspective and the dynamic capabilities view.

The authors investigate nanotechnology-driven R&D activities in the 1995–2005 period for 76 publicly traded firms in the electronics and electrical equipment industry and in the chemicals and pharmaceuticals industry, that applied for 580 nanotechnology-related patents and engaged in 2,459 alliances during the observation period. The authors used zero-truncated Poisson regression as the estimation method.

The findings support conceptualizing dynamic capabilities as four distinct subsets, deployed for sensing or seizing purposes, and across the two different inter-organizational contexts. The findings also suggest potential synergies between these subsets of dynamic capabilities, with two subsets being more macro-oriented (i.e. sensing and seizing opportunities within networks) and the two other ones more micro-oriented (i.e. sensing and seizing opportunities within specific alliances).

The authors show that firms differ in their subsets of dynamic capabilities for pursuing different types of inter-organizational, boundary-spanning relationships (such as alliances vs broader network relationships), which ultimately affects their innovation performance.

The authors contribute to the growing body of work on dynamic capabilities and firm-specific advantages by unbundling the dynamic capability subsets, and investigating their complex interdependencies for managing different types of inter-organizational linkages. The main new insight is that the “linear model” of generating more innovations through higher inter-firm collaboration in an emerging field paints an erroneous picture of how high innovation performance is actually achieved.

The purpose of this paper is to address the limitations of conventional risk matrix based tools such that both positive and negative connotation of uncertainty could be captured within a unified framework that is capable of modeling the direction and strength of causal relationships across uncertainties and prioritizing project uncertainties as both threats and opportunities.

Theoretically grounded in the frameworks of Bayesian belief networks (BBNs) and interpretive structural modeling (ISM), this paper develops a structured process for assessing uncertainties in projects. The proposed process is demonstrated by a real application in the construction industry.

Project uncertainties must be prioritized on the basis of their network-wide propagation impact within a network setting of interacting threats and opportunities. Prioritization schemes neglecting interdependencies across project uncertainties might result in selecting sub-optimal strategies. Selection of strategies should focus on both identifying common cause uncertainty triggers and establishing the strength of interdependency between interconnected uncertainties.

This paper introduces a novel approach that integrates both facets of project uncertainties within a project uncertainty network so that decision makers can prioritize uncertainty factors considering the trade-off between threats and opportunities as well as their interactions. The ISM based development of the network structure helps in identifying common cause uncertainty triggers whereas the modeling of a BBN makes it possible to visualize the propagation impact of uncertainties within a network setting. Further, the proposed approach utilizes risk matrix data for project managers to be able to adopt this approach in practice. The proposed process can be used by practitioners while developing uncertainty management strategies, preparing risk management plans and formulating their contract strategy.

Even if in a traditional perspective the discovery and the exploitation of opportunities are associated to the entrepreneur’s capabilities, a relational perspective is required to better analyze the phenomenon of starting up a new venture. The growing attention to interaction with the external environment has been emerging as a precondition of the entrepreneurial processes as it creates the knowledge and the experience necessary to perceive the opportunity. The entrepreneurial opportunities are created through joint acts with others through social relationships. Shifting the attention from social to business relationships, the main aim of this paper is to investigate the discovery and the exploitation of collective entrepreneurial opportunities in starting up new business. In particular, the purpose of this paper is to analyze the role of relational proximity in the entrepreneurial journey considered as an emergent process of transforming potentiality into actuality.

The paper applied a qualitative methodology (Dubois and Araujo, 2004) and a case study approach (Barrat et al., 2011). The case concerns the dyadic spin-off relationship between the innovative start up, ShapeMode (the generated firm), and the Milan FabLab (the generating firm) located in Lombardy Region (Italy).

The emerging of collective entrepreneurial opportunities could be analyzed at two levels: the first one concerns the dyadic spin-off relationship, while the second one is founded on the business relationships that the start-up can activate with the business partners of the generating firm. The collective entrepreneurial opportunities are positive influenced by jointness of the actors and their co-evolution, founded on the shared values and goals.

Although the case study approach allowed the researcher to gain detailed information about the spin-off relationship, this effort does not measure the performance outcomes of the relationships and actions that were taken to improve the competitiveness of the start-up. Future studies would benefit from a large-scale questionnaire given to the members of the start-up and to the actors of its Entrepreneurial Network, so to analyze all of its performance implications for the start-up and the network as a whole. In addition, it could be of interest for future research to investigate the effects of collective entrepreneurial opportunities in order to examine this topic more deeply.

From a managerial point of view, even if the growing number of start-ups has been associated to a temporary phenomenon, the development of new ventures is now consolidated. A new managerial approach is required to promote the birth and the growth of the start-ups. The development of a new venture requires to shift the attention from the collection of financial resources to the exploitation of entrepreneurial opportunities generated by interconnected business relationships. In this way a relevant attention should be recognized to the new role of organizations that can be considered as facilitators of business relationships, such as the FabLab. This paper sheds light on the relevance of the strategic networking that sustains the generation of collective entrepreneurial opportunities. The networking involves actors that belong to different geographic area and different countries but that are focused on the same business dream related to the exploitation of potentialities of digital fabrication. The policymakers should recognize the role of the FabLab as facilitator of knowledge diffusion concerning digital fabrication.

The entrepreneurial opportunities such as the starting up of a new business and its evolution, are enacted, discovered and exploited through interconnected business relationships. In particular the main entrepreneurial opportunities are generated by the activation of business relationships with new business actors. Focusing on the dyadic spin-off relationship, the exploitation of collective entrepreneurial opportunities depends on the sharing of third actors. The business partners of the generating actor (FabLab) became business partners of the generated actor (start-up). The evolution of the generating firm (FabLab) influenced the birth and the evolution of the generated firms (start-up). The dyadic relationship allows the generated firm to discover entrepreneurial opportunities and to exploit them, accessing to the business partners of the generating firm. The effectiveness of the spin-off relationship sustains the replication of the model of new firm generation, that could benefit from the relationships of the two actors of the dyad. Moreover the strong relationships are founded on relational proximity that is characterized by the sharing of values, vision and business dreams.

This study explores how open innovation (OI) can be instrumental for entrepreneurs in sensing and seizing entrepreneurial opportunities in small and medium enterprises (SMEs). This study also illustrates how OI can help SMEs overcome the liability of smallness.

This is exploratory research using an inductive, multiple-case study approach. This study capitalizes on five in-depth case studies of European SMEs to explore a phenomenon using replication logic and provide a robust basis for theory building.

This study presents a holistic view of the OI process in SMEs and illustrates the crucial role of entrepreneurs. The study provides a better understanding of how OI can help entrepreneurs sense and seize entrepreneurial opportunities by envisioning venture ideas and implementing business model innovation through the management of innovation partners.

The study emphasizes two critical roles of entrepreneurs in implementing OI in SMEs. First, the entrepreneur can be the instigator of strategic change, and second, he/she can orchestrate the innovation network. The findings emphasize that OI helps avoid knowledge corridors at the venture idea stage, leading to a (re)structuring of the business model and the emergence of a network of innovation partners, which should be managed hands-on. This study discusses in detail the two crucial roles of entrepreneurs.

Previous research argues that customer switching costs play an important role in the firm’s ability to retain customers and achieve competitive advantage. Research also indicates that in the increasingly networked environment, switching costs are changing in important ways. Despite switching costs’ recognized role in contributing to competitive advantage and its increasingly strategic characteristics in the expanding networked environment, we find a lack of coherence and completeness in the conceptual tools and models developed to understand its role and help effectively to manage the phenomenon. In this paper we attempt to address these needs by expanding and refining the conceptualization of customer switching costs and developing a more useful and comprehensive framework for managers.

This paper uses a social capital theoretical framework to examine how the relational dimension of business networks affects the networking activities of female entrepreneurs. In particular, the study examines the role of trust on women's networking behaviour and the part played by government business development officers in supporting women entrepreneur's opportunity recognition behaviour.

The research used mixed methods to gather and analyse data. A survey instrument was used to gather quantitative data and qualitative data was gathered from interviews and written responses to open‐ended questions included in the survey.

The quantitative findings suggest firstly that approximately 20 per cent of the reason why women entrepreneurs belong to formal business networks is to search for business opportunities; however, their experience of trusting significantly affects their perception of the potential benefits of networking activities. Moreover, government development officers appear not to positively affect women entrepreneur's trusting behaviour.

The sampling process could have caused bias in the data collection and therefore the generalisability of the findings may be compromised. This is because the sample came from a state with the most start‐ups and therefore it is likely that these women are more entrepreneurial than normal. In addition, there may be bias in the type of women entrepreneur likely to have responded to the survey. It seems likely that the women entrepreneurs that would respond to this questionnaire are apt to be more entrepreneurial in their behaviour of recognising new opportunities, thereby biasing the sample used. Finally, another limitation of this study is common methods bias in relation to the data collected using self‐report questionnaire.

The findings have implications for government because these findings suggest that they have wrongly assumed that entrepreneurs will behave in “politically constructed business network” the same way as they behave in social networks where trust levels develop over time. This may be the reason why trust was such an important variable in affecting these women entrepreneurs' networking behaviour. The findings suggest that if women entrepreneurs are to be supported to grow, the government should focus its scarce resources on building trust within these formal business networks, so that women can build the relational trust context needed to share information likely to lead to good business opportunities.

The paper provides information on the role of trust on women's networking behaviour.

The purpose of this research is to analyze the development of high‐tech international new ventures as an acting process by individuals in relationship networks.

The study cross‐fertilizes research on internationalization of international new ventures, opportunity development of entrepreneurs and innovation development in technology‐based firms. A longitudinal case study on the development process of an international new venture operating in the software business is used as a base for analytical generalization and theory development.

The study illustrates events at three intertwined levels of acting on the development of an international new venture. It defines internal problem solving, external solution creation, opportunity selling and opportunity organizing as the behaviors driving the emergent, multi‐level process and embedding the venture in various networks.

Statistical generalization based on common patterns experienced by several firms was not sought in this study. Using the process research approach with event‐based analysis, the study, however, provides an in‐depth analysis of international new venture development through the actions of individuals at the level of key events. The methods for examining a complex development process over time can be utilized by other process researchers.

The complexity of building high‐tech international new ventures is, to a great extent, due to the necessity of handling the process at three levels simultaneously and in connection with one another. Since international new ventures are often based on business opportunities that have a short window of opportunity, the timeline creates further challenges. Embedding the business into various resourcing, legitimizing and otherwise assisting networks is crucial.

The study provides an insight into the ways of acting in networks that intertwines the internationalization, opportunity and technology development with development of a high‐tech international new venture. The study follows the development process in real time, something that is quite rare in previous international entrepreneurship research.