Data science and automation in the process of theorizing: Machine learning's power of induction in the co-duction cycle.

Recent calls to take up data science either revolve around the superior predictive performance associated with machine learning or the potential of data science techniques for exploratory data analysis. Many believe that these strengths come at the cost of explanatory insights, which form the basis for theorization. In this paper, we show that this trade-off is false.

When the going gets tough, the entrepreneurs get less entrepreneurial?

We investigate how the 2008-2012 economic crisis relates to entrepreneurs' confidence ten years later and, in turn, their venture's entrepreneurial orientation. Conceptually, we introduce the new concept of 'hard times' to capture an entrepreneur's sense of their venture's hardship during the crisis. Theoretically, we extend ideas on imprinting, to build the argument that hard times cause a persistent reduction in an entrepreneur's entrepreneurial self-efficacy and sense of job security, both of which in turn cause a contemporaneous reduction in their venture's entrepreneurial orientation.

Measuring leadership an assessment of the Multifactor Leadership Questionnaire.

Although the most used measure of transformational leadership, the Multifactor Leadership Questionnaire (MLQ), has been the subject of intense scrutiny among leadership scholars, little interest has been shown in analyzing the relationship between its underlying constructs and / or their measures. The present study identifies a formative factor structure for most MLQ first-order factors, replacing the usual reflective model. We demonstrate the value of this structure using data from two different samples.

Bribery and the Role and Social Value Orientation: A Multi-Site Experimental Study in Belgium, Germany, and the Netherlands.

Bribery is a complex phenomenon rooted in both individual motives and the greater institutional context. Experimental research into causal mechanisms that drive bribing behavior is still scarce. To date, there is no empirical evidence on how the society-regarding motivational survey measure of Public Service Motivation (PSM) and the other-oriented motivational measure of Social Value Orientation (SVO) can help explain why some people are more susceptible to engage in the act of bribing than others.

Robots do not get the coronavirus: The COVID-19 pandemic and the international division of labor.

We assess the expected long-run consequences of the unfolding COVID-19 pandemic and use these as a platform to argue that international business (IB) as a field should expand its research agenda to study the international division of labor. The worldwide response to the COVID-19 pandemic is accelerating the shift toward the de-globalization of capital, but it will also speed up the move to a stronger globalization of labor. This paradoxical, simultaneous occurrence of de-globalization and globalization offers rich opportunities for future IB research.

Emotional flexibility and general self-efficacy: A pilot training intervention study with knowledge workers.

Emotional flexibility advancement has been found to be highly effective in clinical settings to treat, for example, depression, anxiety, and chronic pain. Developing these skills in the working context has also shown very encouraging results in public sector settings. Also, a few studies have revealed effectiveness in a private sector setting, but no studies have yet looked at the effectiveness of developing these skills amongst high-paced, high-demanding, and highly-educated knowledge workers.

A Moral Theory of Public Service Motivation.

Morality constructs the relationship between the self and others, providing a sense of appropriateness that facilitates and coordinates social behaviors. We start from Moral Foundation Theory (MFT), and argue that multiple moral domains can shape the meaning of public service and engender Public Service Motivation (PSM). From the lens of cognitive science, we develop a causal map for PSM by understanding the social cognition process underlying PSM, focusing on five innate moralities as the potential antecedents of PSM: Care, Fairness, Authority, Loyalty, and Sanctity.

Explicit and Implicit Basic Human Motives, and Public Service Motivation.

This article contributes to the literature on the roots of Public Service Motivation (PSM) by turning to the psychological theory of basic human motives. The study explores the differential associations of explicit and implicit basic human motives with PSM, Attraction to Policy-Making (APM), Commitment to the Public Interest (CPI), Compassion (COM), and Self-Sacrifice (SS). Methodologically, the research contributes to the literature by introducing a measurement instrument new to Public Administration: the Brief Implicit Association Test (BIAT).

The coevolution of the firm and the product attribute space.

Traditionally, firm competition has been studied in contexts where the dimensionality of the product attribute space is given, and firms deploy their strategies constrained by this space. However, firms may exert influence on the local structure of the product attribute space by offering product variants with new attributes. As a result, the geometry of the product attribute space would change endogenously through firms' actions, and this emergent new geometry modifies the conditions for subsequent firm behavior.

The turn from just-in-time to just-in-case globalization in and after times of COVID-19: An essay on the risk re-appraisal of borders and buffers.

In this essay, we apply insights from International Economics and Economic Geography to examine how the current COVID-19 crisis may structurally change the international economy. Our key argument is that the current crisis will fundamentally change key economic actors' risk appetite, triggering a renewed risk assessment that will lead to the comeback of buffers and borders across industries. This partial return to regionalization will involve a form of de-globalization that transforms modern just-in-time management into its just-in-case counterpart, because resilience will be priced and discounted for by enterprises and governments alike.

The added value of implicit motives for management research Development and first validation of a Brief Implicit Association Test (BIAT) for the measurement of implicit motives.

Many Management (sub-)disciplines, from Organizational Behavior and Marketing to Accounting and Strategy, are interested in antecedents and consequences of individual attitudes and traits. A key aspect of personality profiles are explicit and implicit motives. Yet, Management scholars mainly focus on explicit motives, with limited attention to implicit motives.

A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003.

In this paper, we develop an ecological, multi-level model that can be used to study the evolution of emerging technology. More specifically, by defining technology as a system composed of a set of interacting components, we can build upon the argument of multi-level density dependence from organizational ecology to develop a distribution-independent model of technological evolution. This allows us to distinguish between different stages of component development, which provides more insight into the emergence of stable component configurations, or dominant designs.

The foreign language effect on the self-serving bias: A field experiment in the high school classroom.

The rise of bilingual education triggers an important question: which language is preferred for a particular school activity? Our field experiment (n = 120) shows that students (aged 13-15) who process feedback in non-native English have greater self-serving bias than students who process feedback in their native Dutch. By contrast, literature on the foreign-language emotionality effect suggests a weaker self-serving bias in the non-native language, so our result adds nuance to that literature. The result is important to schools as it suggests that teachers may be able to reduce students' defensiveness and demotivation by communicating negative feedback in the native language, and teachers may be able to increase students' confidence and motivation by communicating positive feedback in the foreign language.

The Population Ecology of Technology: An Empirical Study of US Biotechnology Patents from 1976 to 2003.

A detailed understanding of technological change as an evolutionary process is currently not well understood. To increase our understanding, we build upon theory from organizational ecology to develop a model of endogenous technological growth and determine to what extent the pattern of technological growth can be attributed to the structural or systemic characteristics of the technology itself. Through an empirical investigation of patent data in the biotechnology industry from 1976 to 2003, we find that a technology's internal (i.

Micro-Level Adaptation, Macro-Level Selection, and the Dynamics of Market Partitioning.

This paper provides a micro-foundation for dual market structure formation through partitioning processes in marketplaces by developing a computational model of interacting economic agents. We propose an agent-based modeling approach, where firms are adaptive and profit-seeking agents entering into and exiting from the market according to their (lack of) profitability. Our firms are characterized by large and small sunk costs, respectively.