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In a context of great complexity, many authors have focused on the beneficial effects of leadership flexibility (Denison et al., 1995), a capacity theoretically associated with mindfulness. The purpose of this paper is to better understand the relationship between mindfulness and behavioral flexibility in leaders.

Data were collected from two samples: 100 active leaders from diverse economic sectors and 62 students pursuing an executive MBA degree.

The results show that mindfulness is positively associated with the overall score for leader flexibility, and with its two dualities: self-assertive and directive vs collaborative and supportive, and long-term strategy vs short-term execution. Specifically, four of the five dimensions of mindfulness (nonreactivity, nonjudging, acting with awareness and describing) were positively correlated with the overall flexibility score.

The results suggest that by developing mindfulness, managers might be better able to adapt their leadership style to the demands of different situations. To that end, interventions based on mindfulness are worthwhile options for use within organizations, particularly in the context of leadership development programs.

While most models of leadership assume a linear relationship between certain leadership behaviors and performance, other voices suggest that effective leaders need to possess great behavioral flexibility so that they can adapt with agility to the multiple needs of the people and situations around them. Few studies have examined the factors that may play a role in leadership flexibility.

If we want to improve managerial cognition, we need to capture the full spectrum of cognitive functions and the complex processes through which they unfold. I propose two very different methods (one older and low-tech, one newer and high-tech) that allow us to observe cognitive functions and processes directly in real time.

The design of a space launcher requires some considerations about the unsteady loads and heat transfer occurring at the base of the structure. In particular, these phenomena are predominant during the early stage of the flight. This paper aims to evaluate the ability of the unstructured, high order finite-volume CFD solver FLUSEPA, developed by Airbus Safran Launchers, to accurately describe these phenomena.

This paper first performs a steady simulation on a base flow around a four-clustered rocket configuration. Results are compared with NASA experiments and Loci-CHEM simulations. Then, unsteady simulations of supersonic H2/air reacting mixing layer based on the experiment of Miller, Bowman and Mungal are performed. Three meshes with different cells number are used to study the impact of spatial resolution. Instantaneous and time-averaged concentrations are compared with the combined OH/acetone planar laser-induced fluorescence imaging from the experiment.

FLUSEPA satisfactorily predicts the base heat flux at the base of a four-clustered rocket configuration. NASA Loci-CHEM reactive simulations indicate that afterburning plays an important role and should not be neglected. The unsteady reactive computation of a supersonic mixing layer shows that FLUSEPA is also able to accurately predict flow structures and interactions. However, the complexity of the experiment and the lack of details concerning the facility prevents from obtaining satisfactory converged results.

This study is the first step on the development of a cost-effective method aiming at predicting unsteady loads and heat transfer on space launchers using an unsteady and reactive model for the CDF calculations. It uses original techniques such as conservative CHIMERA-like overset grids, local re-centering of fluxes and local adaptive time-stepping to reduce computational cost while being robust and accurate.

In the managerial and organizational cognition (MOC) literature, cognition is often studied by considering the observable characteristics of decision-makers. However, these studies have largely neglected cognitive differences stemming from the cultural, national, ethnical, and geographical (CNEG) characteristics of decision-makers – ones that are commonly studied in the field of international business (IB) research. Despite the contributions of IB research within the domain, the advancements have not found their way to the broader literature on MOC. In order to remedy this deficiency, this chapter seeks to introduce the work conducted within the IB field on the cognitive differences and the resultant cognitive distance stemming from decision-makers’ CNEG characteristics. This work has generated original insights on: (1) cognitive distances; (2) cognitive structures; (3) the legacy of the home country; and (4) tolerance to cognitive differences. As a result, this chapter strengthens the foundations for cumulative knowledge building by providing an integrative understanding of cognitive research based on the characteristics of managers.

Despite the extensive research on the determinants and consequences of firm growth, research focusing on how the actual process unfolds is still evolving. An important part of firm growth process research is entrepreneurial cognition. The purpose of this chapter is to explore the relationship between entrepreneurial cognition and firm growth intentions. Specifically, we propose a theoretical model of entrepreneurial cognitive interpretation and categorization of market information as it relates to firm growth intentions. Drawing from the strategic cognition literature in general and strategic issue interpretation literature in particular, we propose that entrepreneurs’ interpretation of market information as opportunity or threat, gain or loss, and controllable or uncontrollable influences their firm growth intentions. Furthermore, our theoretical model discusses the condition under which favorable interpretation of market information leads to higher growth intentions by incorporating insights from the Entrepreneurial Orientation (EO) construct. This chapter extends our understanding of firm growth processes by highlighting the important role cognitive interpretation and categorization play in facilitating or hindering entrepreneurial firm growth.

The purpose of this paper is to obtain evidence concerning the basic dimensions included in cognitive prototypes pertaining to opportunity recognition and decision to launch a new venture; identifying the underlying dimensions of both prototypes – the cognitive frameworks current or nascent entrepreneurs employ in performing these important tasks.

The bi-dimensional models were tested in a sample of 284 founder entrepreneurs, using a 48-item questionnaire. It was used as structural equation confirmatory factor analysis to compare fit indices of uni-dimensional second-order and third-order bi-dimensional models of business opportunity and decision to launch a venture.

Results support the bi-dimensional models and offer support that both prototypes include two basic dimensions. For the business opportunity prototype these are viability and distinctiveness while for the decision to launch a new venture, the basic dimensions are feasibility and motivational aspects.

These results help to further clarify the nature of the cognitive frameworks individuals use to identify potential opportunities and reach an initial decision about whether to pursue their development. Uncovering the cognitive functioning of opportunity recognition and decision to exploit it, allow individuals to recognize opportunities easier and successfully; and to make more accurate and effective decisions.

Knowing the basic dimensions of opportunity and decision-making prototypes contributes to develop effective skills with respect to business opportunity recognition among students enrolled in entrepreneurship programs. These surveys can be used for self-assessment and also for investors, tutors, and entrepreneurship agents in order to help evaluate features of business opportunities and decision to launch a venture.

This study embraces a conceptual contribution, proposing a different model of the business opportunity and decision to exploit prototypes, and it extends Baron and Ensley (2006) previous work, to another important step in the entrepreneurial process – the decision to develop an identified opportunity through the launch of a new venture.

The purpose of this study is to examine how foreign firms consider natural disaster risk in subsequent investment decisions in a host country and whether different location portfolios can serve to mitigate investment risk.

The author sample includes data on 437 Fortune Global 500 firms and their initial entry into Chinese provinces between 1955 and 2008.

Using a fixed effects logit model of discrete time event history analysis, results show that geographic proximity to same multinational corporation (MNC) subsidiaries and different MNC subsidiaries from the same home country mitigates the negative effect of natural disasters on MNC entry into an affected province, while geographic proximity to other MNC subsidiaries from different home countries does not.

The knowledge needed to respond to severe disasters appears to be highly context-specific and shared only between firms with a high degree of commonality and trust.

With behavioral experiments and protocol analysis, researchers can capture cognition in action. Using behavioral experiments, they can study realized behavior, not perception or self-reports. And they can do that in a controlled laboratory environment to establish causality, curbing spurious relationships. With protocol analysis, a method to elicit decision-makers’ thoughts, researchers can tap into cognitive processes. In combination, the two methods offer a novel approach to grasp mental processes alongside behavior, to reach causality and replicate findings. We describe the methods, demonstrate how researchers can apply them, and share practices from the design of experimental instruments to the replication of findings.

The purpose of this paper is to address the research questions: which methodologies and data gathering methods are employed by researchers publishing in top entrepreneurship journals, and how has this changed over time?

The data gathering methods of research published in five top entrepreneurship journals between 1985 and 2013, a period of nearly three decades, were recorded.

The data demonstrate that entrepreneurship research is dominated by positivist approaches and data gathering methods, but that this picture is changing over time. The data also reveal differences in methods used in research published in North American and European journals.

It is argued that increased discussion of the limitations, benefits and implications of research methods is needed across the field as a whole. It is concluded that although there is some methodological reflexivity in the field of a macro, abstract nature, there is little at the micro level of individual research designs.

There is a number of existing reviews of methods in the field but none over such a long time period that include such a large corpus of papers. Of particular value to scholars engaged in debates about the proportions and merits of different research methods is the identification of long-term trends away from primary data gathering in general and survey approaches in particular. Debates surrounding the existence of different regional “schools” of entrepreneurship will be informed by the differing patterns of methods found in the five outlets included in the study.