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Recent labor market research has called into question whether social capital effects are causal, or are spuriously due to the influence of social homophily. This essay adopts the demand-side perspective of organizations to examine the causal status of social capital. In contrast with supply-side approaches, we argue that homophily is a key mechanism by which organizations derive social capital. We develop an approach to bolster inferences about the causal status of social capital, and illustrate these ideas using data from a retail bank.

At the level of a cognitive schema, a business model is a mental map of a firm’s value-creating, value-delivering, and value-capturing activities and the linkages between them. An important question in the study of business models as cognitive schemas is whether and how schemas differ across industry actors and whether the differences are connected to the variation observed in actual business models in the industry. This chapter examines, in particular, the ways in which business model schemas of industry insiders differ from those of industry outsiders. Using data from interviews with chief executive officers (CEOs) of 30 legal-tech firms, we graphically construct and analyze the CEOs’ schemas of important causal interdependencies between their firms’ activities. The analysis shows systematic differences between insiders and outsider CEOs’ schemas. We theorize that these differences underlie insider and outsider CEOs’ distinct approaches to opportunity recognition, expertise perception, and value framing, and have consequences for actual business model evolution in the industry.

This chapter aims to identify the main determinants that define the architectural properties of network emergence and significantly influence the dynamics underlying network evolution in time. The identification and analysis of these determinants, as well as the dynamic processes tied to them, allows to appreciate the competitive bases and consequences of network morphology. To this purpose, using a complex systems perspective as an integrative conceptual approach, we represent networks as complex dynamic systems of knowledge and capabilities. We perform a comparative in-depth analysis of the processes underlying the emergence and evolution of STMicroelectronic's global network and of Toyota's supplier network in the US so as to allow an elucidatory empirical assessment of the theoretical representation elaborated in the article.

This chapter provides a comprehensive, yet, concise overview of the existing debates on policy networks. The aim of the chapter is to identify those mechanisms that encourage network collaboration among several stakeholders with different motivations, interests, and preferences throughout different stages of policy making from agenda setting to policy evaluation. A systematic review of previous studies on policy networks across various countries highlights the achievements and missing links in the literature, and at the same time, reveals three sets of causal mechanisms, which are crucial to understand Network Collaborative Capacity (NCC) along the structural, relational, and institutional dimensions. Structural and relational mechanisms explain the internal dynamics of a policy network; whereas institutional mechanisms consist of all those external factors in the broader political and economic environment within which the network is embedded. Structural, relational, and institutional mechanisms are further classified into constituting elements that serve as a blueprint for organizing and managing collaborative efforts at the network level. Ultimately this chapter contributes to the existing governance debates by offering an integrated framework for the study of NCC across country cases and policy sectors. Turkish health sector represents a case study to assess the applicability of this framework beyond the context of advanced industrialized economies and democracies with a tradition in collaborative policy making. Finally, the added value of comparative network analysis at the national and sub-national levels will be discussed.

This chapter explores how a configurational approach and set-theoretic methods can contribute to a deeper and more nuanced understanding of organizational networks and network relations. This is especially true for the study of “whole networks” of organizations where data collection difficulties often limit the sample size (Provan, Fish, & Sydow, 2007). We present two empirical examples of current research on whole networks, demonstrating how qualitative comparative analysis (QCA) can be used to analyze organizational networks. We then discuss the methodological and theoretical implications of the configurational approach for future organizational network research.

We repeat the mistakes of history because of the neglect of history, the imperfections of memory, and the complexity of social situations. I begin with a discussion of the first two and then turn to the third. After discussing the meaning and significance of complexity, I discuss the causal ambiguity surrounding economic policies and what this implies for the burden of proof in policy espousal and design. I consider the role of social institutions, their function and origins, and how they are able to facilitate human action in an economic environment of accelerating change. Institutions like markets, monetary systems, systems of common law, languages are all networks. So are groups of believers in the efficacy of certain kinds of economic policy. I consider the role of networks in general and in regard to economic cycles in particular. In the concluding section, I suggest that the implications of complexity for the occurrence of cycles, and the adoption of discretionary policies to deal with them, are likely not only to exacerbate the effects of the cycles, but also, more fundamentally, to subvert the fundamental institutional structure of our economy, what we may think of as our embedded constitutions, to the great long-term detriment of our economic health.

The overall objective of this research was to elucidate the ecosystem of women’s health social enterprises (WHSEs) based in the United States. The Aim I was to conduct a secondary data analysis of a random national sample of non-profit WHSEs based in the United States regarding their characteristics and areas of intervention. Aim II was to conduct a qualitative assessment of a sample of WHSEs based in the United States regarding their perspectives on the ecosystem of WHSEs. Aim I utilized the GuideStar database and assessed enterprise size, geographic location, financial distress, health intervention area, and health activity category using descriptive statistics, statistical tests, and multivariable regression analysis via SPSS. Aim II utilized in-depth interviewing and grounded theory analysis via MAXQDA 2018 to identify novel themes and core categories while using an established framework for mapping social enterprise ecosystems as a scaffold.

Aim I findings suggest that WHSE activity is more predominant in the south region of the United States but not geographically concentrated around cities previously identified as social enterprise hubs. WHSEs take a comprehensive approach to women’s health, often simultaneously focusing on multiple areas of health interventions. Although most WHSEs demonstrate a risk for financial distress, very few exhibited severe risk. Risk for financial distress was not significantly associated with any of the measured enterprise characteristics. Aim II generated four core categories of findings that describe the ecosystem of WHSE: (1) comprehensive, community-based, and culturally adaptive care; (2) interdependent innovation in systems, finances, and communication; (3) interdisciplinary, cross-enterprise collaboration; and (4) women’s health as the foundation for family and population health. These findings are consistent with the three-failures theory for non-profit organizations, particularly that WHSEs address government failure by focusing on the unmet women’s health needs of the underserved populations (in contrast to the supply of services supported by the median voter) and address the market failure of over exclusion through strategies such as cross-subsidization and price discrimination. While WHSEs operate with levels of financial risk and are subject to the voluntary sector failure of philanthropic insufficiency, the data also show that they act to remediate other threats of voluntary failure.

Aim I findings highlight the importance of understanding financial performance of WHSEs. Also, lack of significant associations between our assessed enterprise characteristics and their financial risk suggests need for additional research to identify factors that influence financial performance of WHSE. Aim II findings show that WHSEs are currently engaged in complex care coordination and comprehensive biopsychosocial care for women and their families, suggesting that these enterprises may serve as a model for improving women’s health and health care. The community-oriented and interdisciplinary nature of WHSE as highlighted by our study may also serve as a unique approach for research and education purposes. Additional research on the ecosystem of WHSE is needed in order to better inform generalizability of our findings and to elucidate how WHSE interventions may be integrated into policies and practices to improve women’s health.

This chapter focuses on individuals’ mental representations of complex decision problems in transportation. An overview of approaches and techniques in this recent area of research is given as well as an illustration. The illustration concerns an application of CNET (causal network elicitation technique) to measure mental representations in a shopping activity scheduling task. The presence of an online shopping alternative is varied to investigate the influence of an online alternative on how individuals represent the choice problem.

Mental-model and means-ends-chain theories are discussed. These theories state that individuals when faced with a decision problem construct a mental representation of the choice alternatives by activating relevant parts of their broader causal knowledge that allow them to evaluate consequences regarding their existing needs. Furthermore, these theories emphasise that situational and person dependence of this process can explain observed variability in preferences of travellers.

The results indicate that considerable variation exists between individuals in terms of both the complexity, and the attributes and benefits that are activated in the mental representation of the choice problem. Presence of an online alternative has an influence on the benefits that individuals consider important. The impact is however small.

The chapter provides an overview of recent developments in the study of mental representations underlying choice behaviour. Traditionally, this has been the exclusive domain of qualitative research methods. The techniques reviewed enable larger samples and a formal representation of mental representations. Thus, the approach can help to better understand preference heterogeneity and incorporate this in (transport) choice models.

Performance measurement has benefited from several management accounting innovations over the past decade. Guiding these advances is the explicit recognition that it is imperative to understand the causal linkage that leads a firm to profitability. In this paper, we contend that the relationship quality experienced between two organizations has a measurable impact on performance. Guided by prior models developed in distribution channel and relationship marketing research (Cannon et al., 2000; Morgan & Hunt, 1994) we build a causal model of relationship quality that identifies key relationship qualities that drive a series of financial and non-financial performance outcomes. Using the healthcare industry to illustrate its applicability, the physician practice – insurance company relationship is described within the context of the model’s constructs and causal linkages. Our model offers managers employing a causal performance measurement system such as, the balanced scorecard (Kaplan & Norton, 1996) or the action-profit-linkage model (Epstein et al., 2000), a formal framework to analyze observed outcome metrics by assessing the underlying dynamics in their third party relationships. Many of these forces have subtle, but tangible impacts on organizational performance. Recognizing them within performance measurement theory adds explanatory power to existing performance measurement systems.

Purpose – The chapter provides an exposition both of Hayek's causal theory of the mind (especially as applied to intentionality) and of Popper's critique of causal theories, argues that Hayek fails successfully to rebut Popper's critique, and shows how the dispute between Hayek and Popper is relevant to controversies in contemporary philosophy of mind.

Methodology/approach –The chapter elucidates Hayek's ideas and Popper's by situating them within the history of the mind/body problem and comparing them to the views of contemporary philosophers like Fred Dretske, Jerry Fodor, and Hilary Putnam.

Findings – Popper's critique has yet to be answered, either by Hayek or by contemporary causal theorists.

Originality/value of the chapter –The chapter calls attention to some important but neglected ideas of Hayek and Popper and examines some of their as-yet-unpublished writings.