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Field emergence poses an intriguing problem for institutional theorists. New issue fields often arise at the intersection of different sectors, amidst extant structures of meanings and actors. Such nascent fields are fragmented and lack clear guides for action; making it unclear how they ever coalesce. The authors propose that provisional social structures provide actors with macrosocial presuppositions that shape ongoing field-configuration; bootstrapping the field. The authors explore this empirically in the context of social impact investing in the UK, 2000–2013, a period in which this field moved from clear fragmentation to relative alignment. The authors combine different computational text analysis methods, and data from an extensive field-level study, to uncover meaningful patterns of interaction and structuration. Our results show that across various periods, different types of actors were linked together in discourse through “actor–meaning couplets.” These emergent couplings of actors and meanings provided actors with social cues, or macrofoundations, which guided their local activities. The authors thus theorize a recursive, co-constitutive process: as punctuated moments of interaction generate provisional structures of actor–meaning couplets, which then cue actors as they navigate and constitute the emerging field. Our model re-energizes the core tenets of new structuralism and contributes to current debates about institutional emergence and change.

We examine patterns and changes in the use of various theoretical perspectives, and in the approach to testing individual or combinations of theories, within the field of international strategy that constitutes one of the major areas of international business (IB) research. We conduct a systematic bibliometric analysis of 22 years’ worth of empirical papers. We generate tabular evidence and introduce the use of network graphing methodology to report and analyse the co-occurrence of theories. We find a changing distribution of theoretical perspectives, indicative of a re-centring of the field around strategic and organizational perspectives. This is accompanied by use of more complex approaches to testing contingencies of the sort likely to result from these theory combinations, especially across firm, interfirm and institutional levels of analysis. We thus generate and discuss critically a quantitative and graphical overview of the progress of international strategy research. This creates unique and comprehensive insights into the development of theory and empirics in IB. We draw lessons for academics and report practical recommendations for the conduct of research. Overall, our study sheds new light on the disciplinary nature of IB research and its interplay with related fields and disciplines. It explicates patterns of theory accretion alongside patterns of theory testing and refinement. It provides a comprehensive map of the field of IB strategy as it evolved since 1990 and illuminates its future.

Following the triple helix (TH) model and the way knowledge is transferred into the industry domain, this chapter aims to define features interface that should be implemented in order to facilitate the University–Industry (UI) relationship and thus encourage the spin-off creation.

In order to support this relationship, a new business model configuration of an entrepreneurial ecosystem is proposed, aiming at creating a sustainable environment, where business entities can grow. The field of the Governance of Entrepreneurial Ecosystems is also investigated in order to define a framework for launching, developing, and sustaining a company over time.

This chapter presents a case study developed within the University of Salento (Italy). It capitalizes results from three different research analyses, based on questionnaires and interviews with actors of the spin-off network (professors and researchers, graduating students, admin-tech staff of the Technology Transfer Office, spin-offs’ CEOs/Associates, and R&D managers of external companies) and on results coming from scientific publications and regional/national reports in the innovation context.

A research methodology based on semantic network analysis and sentiment analysis has been applied in order to identify which features an interface should implement in order to facilitate the UI relationship and encourage the spin-off creation.

To support the start-up overcoming the “death valley,” the creation of a link between the strategy used to transfer value to the market and the phase of innovation is proposed inside the business model configuration. Some aspects of a governance model of an entrepreneurial ecosystem were also presented in order to support the business evolution of a single business entity and assuring sustainability over time.

University–industry collaborations are an important driver of innovation that highlights the benefits of collaborative processes across organizational boundaries. However, like in most collaborative processes, many challenges remain when trying to manage the process of knowledge sharing and interaction in university–industry partnerships. In this chapter, the authors specifically investigate how leadership as a managerial dimension facilitates collaboration within university–industry joint laboratories. The authors present an explorative and inductive case study of eight joint laboratories set up by Telecom Italia within five major Italian universities. The results show that the laboratory directors play a crucial role in providing a dynamic and socially active working environment, which is enabled through a process of sensemaking and sensegiving. The authors, moreover, find that this process plays a crucial role by shaping effective communication channels that facilitate knowledge sharing and transfer of information. The authors find that this process ultimately acts as a mediator between charismatic leadership on the individual level and distributed leadership on the collective level.

New ways of working (NWW) change some fundamental processes in the workplace. NWW practices like teleworking, flexible workspaces, and flexible working hours lead to different behaviors of employees. But does the employment of NWW practices also have an impact on the innovation behavior of employees? This chapter explores this relationship and uses qualitative data from case studies to illustrate the complex linkages between three components of NWW and IWB.

This chapter proposes a more holistic approach to understanding work stress by incorporating eustress, the positive response to stressors. We begin by casting the study of eustress as part of a contemporary movement in both psychology and organizational behavior that accentuates the positive aspects of human adaptation and functioning. We discuss the development of the concept of eustress, and provide extensive evidence, both psychological and physiological, for the purpose of developing an explicit construct definition. An exploratory study of hospital nurses is presented as an initial test of our holistic model of stress. We conclude by asserting that there must exist a complement to coping with distress such that rather than preventing or resolving the negative side of stress, individuals savor the positive side of stress.

This chapter conceptualizes computational methods across three related, yet distinct approaches: (1) Social Simulation, (2) Data Science, and (3) Big Data. Group communication research is then situated and reviewed along these three lines of research. Although some areas have considerable visibility (e.g., network analysis, text mining), some areas are less visible in group communication research (e.g., Social Simulation, Big Data designs). The chapter concludes with suggestions for issues regarding reliability, validity, and ethics.