Search results

Importance sampling is a popular Monte Carlo method used in a variety of areas in econometrics. When the variance of the importance sampling estimator is infinite, the central limit theorem does not apply and estimates tend to be erratic even when the simulation size is large. The authors consider asymptotic trimming in such a setting. Specifically, the authors propose a bias-corrected tail-trimmed estimator such that it is consistent and has finite variance. The authors show that the proposed estimator is asymptotically normal, and has good finite-sample properties in a Monte Carlo study.

This chapter conceptually addresses outward internationalisation of small and medium sized enterprises (SMEs) from the emerging markets (EMs) by focussing on the role of prior contract manufacturing relationships with a developed market multinational enterprise (DMNE). The internationalisation of SMEs originating from EMs is a rather under-researched area and the role of prior contract manufacturing experience specifically has not been addressed in prior studies. Based on a literature review, the authors identified four capabilities developed by EM SMEs during their contract manufacturing relationships with DMNE(s) that potentially help in later outward internationalisation. The authors incorporate some insights from dynamic capabilities theory, and develop propositions addressing the role of relational capital, human capital, manufacturing productivity capabilities and product innovation capabilities in this specific context. Despite being conceptual in nature, this chapter is one of the first to explicitly highlight the role of these specific capabilities developed during contract manufacturing relationship for outward internationalisation, setting bases for future studies to further empirically investigate them in different contexts.

Judgments and decision are central to entrepreneurship, but capturing them empirically is challenging. Shepherd and Zacharakis (1997) addressed this challenge by identifying metric conjoint analysis as an experimental method capable of capturing the decision policies of actors engaged in entrepreneurial task, creating a “window of opportunity” for entrepreneurship research. On the twentieth anniversary of this chapter, the authors reflect on the impact the ideas had on their own work and careers, while, at the same time, address the possibility that the “typical” conjoint study may have reached the end. From this platform, the authors identify unknown attributes, interactive effects, rich media, mixed methods, and sophisticated data analysis as potential pathways by which conjoint analysis can continue to advance understanding of entrepreneurship. Their conclusion is that when coupled with impactful research questions, innovative uses of conjoint analysis have an important role to play in the future of entrepreneurship research. Hence, the authors believe that Dean A. Shepherd’s and Zach Zacharakis’s bold effort will continue as a quintessential resource for those researchers who wish to tap the mind of entrepreneurs, investors, and other key actors as they traverse the journey of business venturing.

Given the uncertain and often disruptive business environment, understanding how employees, teams, and organizations can recover from stress, build long-lasting resilience, and exploit failures as learning opportunities is key for employees’ well-being and organizational success. The book has been organized in three sections, each representing a major domain of inquiry: recovery, resilience, and learning. The chapters within each section elaborate on these domains, and each provides novel ideas and insights. The goal of this chapter is to summarize and integrate some themes and insights offered by the chapters in this book. Based on this summary and integration, the author will illuminate some exciting paths opened up by these chapters, which might be worth exploring further by other scholars in the future. Specifically, future research could benefit from (1) stronger integration of research on recovery, resilience, and learning from failure, (2) better understanding of the role of setbacks, failure, and adversity for recovery, resilience, and learning, and (3) investigations of the role of context for recovery, resilience, and learning from failure.

Studies of entrepreneurial action often distinguish between different phases such as opportunity identification, evaluation, and exploitation. Yet, the richness of past contributions masks the absence of an integral framework to organize, in a theoretically consistent ensemble, the different kinds of cognitive processes that underpin entrepreneurial action. In this chapter, we draw from research on human action and cognition to offer an integrative model of the cognitive processes that foster entrepreneurial action. By presenting a more specific articulation of when, how, and why different cognitive processes operate, we provide theorists and empiricists with a more complete picture of how entrepreneurs’ thinking evolves from the emergence of an opportunity idea to the initiation of concrete entrepreneurial acts. In addition, our framework draws attention to cognitive inflection points that entrepreneurs must navigate in their journey toward entrepreneurship. By explicitly locating these inflection points and specifying the changes in mental processing that occurs at each point, we highlight that for entrepreneurial action to ensue, entrepreneurs must shift from one type of cognitive processing to another. Along this line, our model draws attention to the entire set of cognitive “skills” entrepreneurs must master for successful completion of each phase and successful transitions between phases.

Tucked in the back of Venkataraman’s 1997 work on the distinctive domain of entrepreneurship (DDE) lies a pointer to a question each individual must face when choosing to start a new venture; “is entrepreneurship worth it?” Inventorying costs associated with risk, uncertainty, and illiquidity against surpluses from financial and psychological factors unique to entrepreneurship, Venkataraman tempts readers to tally entrepreneurial returns. The authors summarize and integrate an academic study of these various cost and return components over the past 20 years using Venkataraman’s original framework. The authors find the answer to the question of “is entrepreneurship worth it?” varies with time. Researcher’s answer to the question has shifted from an early view that entrepreneurs sacrifice financial gain in exchange for soft psychological benefits to a more positive view that entrepreneurs are rewarded both financially and psychologically for the unique costs borne in the DDE. But the rewards are not immediate. In entrepreneur time, break-even emerges by gradually overcoming an initial deficit. As surpluses accrue, returns to entrepreneurs likely eventually exceed those of their wage-earning peers.

Following the current debate on the importance of external sources of knowledge as predictors of small- and medium-sized enterprises’ (SMEs) performance, this chapter aims to open the black box of the innovation process. Since it is still unclear how and what internal capabilities are involved in that process, this chapter demonstrates the relevant mediating role of knowledge integration mechanisms (KIMs) as facilitators of firms’ innovation. A sample containing 98 Italian SMEs operating in different industries is analyzed to test the proposed theoretical model through a regression analysis. The results suggest that KIMs operate as a full mediator in the relationship between the depth of external knowledge sources and opportunity exploitation. In conclusion, theoretical and managerial ­implications of this study are presented.

This chapter explores the role of individual cognitive abilities in the radical innovation of business models and their value proposition. The focus on a specific cognitive construct – metacognition – contributes to understanding the specificities of “criticism,” an approach relevant to addressing the challenges of the radical innovation of value drivers. Based on empirical data, this exploratory research identifies the characteristic elements of criticism from a metacognition perspective, pinpointing the key moments and attitudes of innovators, i.e., cognition of own cognition. The analysis of the findings shows that successful innovators are able to leverage the perception and control of own cognition to more effectively develop and negotiate the radical innovation of the business model in their organization, going beyond the dichotomy between rational and affective mental states. This chapter concludes with a discussion and future research outlook.