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Necessary conditions represent the factors that cannot be compensated but must be present to aim the desired outcome; if a necessary condition is absent, the outcome will not exist. This logic of necessity causality differs from the conventional logic that has been evaluated by the methods drawing the lines “through the middle of the data” (e.g., regression and SEM). The authors argue that the empirical investigation of necessity causality has been largely ignored in hospitality and tourism literature although the notion of necessary causes for achieving certain outcomes is widespread throughout the studies. Thus, the authors introduce “necessary condition analysis” (NCA) as a suitable analytical method to identify necessary conditions in hospitality and tourism research. This chapter provides details on the underlying logic, key advantages, and an illustrative example of NCA. The chapter concludes by offering a few recommendations for future NCA applications in hospitality and tourism research.

In organizational research the object of study is often a process, that is, a complex of events and activities that unfolds over time. In this chapter we focus on temporally ordered configurations, which can be defined as those configurations in which conditions occur in a specific temporal order. We illustrate the aims, characteristics, and limitations of several approaches that have been proposed as tools for the analysis of temporal order. Our illustration involves an analysis of the “gestation activities” of nascent entrepreneurs, that is, persons involved in the creation of a new firm. We aim to identify temporal sequences of gestation activities that generate or allow a successful outcome of the gestation process, while an occurrence of the same activities in another temporal order will not generate or allow that outcome. First we discuss Event Structure Analysis and Optimal Matching and conclude that these approaches cannot provide the kind of analysis that we are aiming at in this chapter. Then we discuss Temporal Qualitative Comparative Analysis, for which our analysis points to technical limitations that constrain its application. We then present and discuss an alternative approach, Temporal Necessary Condition Analysis.

Research in entrepreneurship is increasingly exploring how archetypes, taxonomies, typologies, and configurations can help scholars understand complex entrepreneurial phenomena. We illustrate the potential for set-theoretic methods to inform this literature by offering best practices regarding how qualitative comparative analysis (QCA) can be used to explore research questions of interest to entrepreneurship scholars. Specifically, we introduce QCA, document how this approach has been used in management research, and provide step-by-step guidance to empower scholars to use this family of methods. We put a particular emphasis on the analytical procedures and offer solutions to dealing with potential pitfalls when using QCA-based methods and highlight opportunities for future entrepreneurship research.

The identification of country-specific advantages for business activities is one of the most crucial issues of strategic management and international business literatures. We address this issue by examining location-specific conditions for a successful generic medicines industry within 24 European countries. The findings of our fuzzy-set qualitative comparative analysis show that there are no necessary conditions for the high performance or absence of the high-performance industry. By revealing the causal complexity related to the issue, however, we show that the high performance or lack of it results from a configuration of conditions. Specifically, we identify two sufficient causal configurations to both outcomes. These findings provide clear implications for generic medicines industry firms who are planning location choices of their operations. In addition, this study provides a methodological advancement to explain and understand which country elements matter more, for what outcomes, and under what conditions.

Transformational leadership has been found to positively influence employee attitudes and behaviors. However, research also has shown that a variety of task and motivational factors lead to similar outcomes. Yet, little research has explored the potential interaction of transformational leadership with these other factors. We utilize fuzzy-set/qualitative comparative analysis to explore the ways these factors may interact to produce positive employee outcomes. Specifically, we found that high levels of employee commitment and performance can be achieved in the absence of a transformational leader through various “bundles” of enriched jobs, challenging goals, and high quality leader–follower relationships.

The notion of configuration – that the whole is best understood from a systemic perspective and should be viewed as a constellation of interconnected elements – is arguably one of the central ideas of organization studies. Yet, this idea also remains one of the field’s least understood aspects. In this volume and its introduction, we outline a new perspective for understanding configuration. Our starting point is the emergence of set theoretic configurational methods, and especially Qualitative Comparative Analysis (QCA), which provides novel ways for analyzing configurations. Our volume goes beyond introducing a new method to the fields of management and organization, as these methods furthermore offer an opportunity to rethink our understanding of the field and to develop different ways of theorizing the rich complexity of relationships that characterize organizational life. In this introduction, we introduce some of the key themes that differentiate the approach taken here from previous work on organizational configurations and provide evidence for the emerging renaissance of the configurational approach in organizational theory and research.

Corporate governance research based on agency theory has been criticized for being “under-contextualized,” and for evaluating various governance practices independently. To address both criticisms, we take a configurational approach and show how firm-level governance practices interact with informational asymmetries associated with a firm’s industry. By examining foreign Initial Public Offerings (IPOs) that have chosen to list on London stock exchanges, we demonstrate that an assessment of the firm-level corporate governance configurations is incomplete without taking into account the firm’s industry affiliation. Our use of fs/QCA underscores the possibilities configurational approaches have in advancing theories of corporate governance.

A key feature of performance in many professions is that of vigilance, carefully monitoring one’s environment for potential threats. However, some of the characteristics that may make someone successful in such work may also be more likely to make them fail in the long-term as a result of burnout, fatigue, and other symptoms commonly associated with chronic stress. Among these characteristics, neuroticism is particularly relevant. To exert the effort that vigilance work requires, sensitivity to threats, a core aspect of neuroticism, may be necessary. This is evidenced by higher rates of neuroticism in vigilance-related professions such as information technology (IT). However, other aspects of neuroticism could attenuate performance by making individuals more distractible and prone to burnout, withdrawal, and emotional outbursts. Four perspectives provide insight to this neuroticism–vigilance paradox: facet-level analysis, trait activation, necessary conditions, and job characteristics. Across these perspectives, it is expected that too little neuroticism will render employees unable to perform vigilance tasks effectively due to lack of care while too much neuroticism will cause employees to become overwhelmed by work pressures. Contextual and personological moderators of the neuroticism–vigilance relationship are discussed, as well as two behavioral styles expected to manifest from neuroticism that could explain how neuroticism may be associated with either good or bad performance-relevant outcomes.