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Unlike other populations, entrepreneurs may be unable to fully escape from job-related stress due to their financial and/or psychological connection to their ventures. The authors argue that stress is a universal, intangible variable that profoundly influences the entrepreneurial process. In the present review, the authors critically synthesize past literature to evaluate the substantive body of research on stress in entrepreneurship and assess the impact of stress on individuals’ well-being. The authors find that entrepreneurial stress stems from role conflict or overload, issues related to business operations, and concerns from life outside the venture. Further, stress may result in changes to personal satisfaction and psychological well-being, contingent upon an individual’s stress tolerance, coping strategies, or recovery practices. The entrepreneurial process, from creation to exit, is comprised of several transition periods, all of which are uniquely stressful. The authors explore the implications of our findings by discussing stressors that may manifest during each stage of the entrepreneurial process. Therefore, the authors respond to calls for more dynamic investigation of entrepreneurial stress while also highlighting the need for more research into stressors associated with specific entrepreneurial activities.

Although scholarly inquiry into entrepreneurial stress has existed for nearly 40 years, little is known about how events drive stress responses in entrepreneurs, and how entrepreneur coping responses impact their well-being, relationships, and venture performance. In response to these deficiencies, the authors propose a stress events theory (SET) which they apply to an entrepreneurial context. The authors begin by providing a brief review of existing literature on entrepreneurial stress, which highlights unique stressors and events that entrepreneurs encounter. The authors then introduce event systems theory as developed by Morgeson, Mitchell, and Liu (2015). From this foundation, the authors develop SET, which describes how entrepreneurs react to particular event characteristics (novelty, disruptiveness, criticality, and duration). Additionally, the authors propose that how entrepreneurs interpret events drives coping choices, and that the accuracy of these coping choices subsequently differentiates the quality of entrepreneur well-being, interpersonal relationships, and venture-related consequences. The authors conclude with a discussion of contributions and areas of future research using our proposed theory.

The idea that a significant portion of what consumers do, feel, and think is driven by automatic (or “implicit”) cognitive processes has sparked a wave of interest in the development of assessment tools that (attempt to) capture cognitive processes under automaticity conditions (also known as “implicit measures”). However, as more and more implicit measures are developed, it is becoming increasingly difficult for consumer scientists and marketing professionals to select the most appropriate tool for a specific research question. We therefore present a systematic overview of the criteria that can be used to evaluate and compare different implicit measures, including their structural characteristics, the extent to which (and the way in which) they qualify as “implicit,” as well as more practical considerations such as ease of implementation and the user experience of the respondents. As an example, we apply these criteria to four implicit measures that are (or have the potential to become) popular in marketing research (i.e., the implicit association test, the evaluative priming task, the affect misattribution procedure, and the propositional evaluation paradigm).

Expectations play a crucial role in finance, macroeconomics, monetary economics, and fiscal policy. In the last decade a rapidly increasing number of laboratory experiments have been performed to study individual expectation formation, the interactions of individual forecasting rules, and the aggregate macro behavior they co-create. The aim of this article is to provide a comprehensive literature survey on laboratory experiments on expectations in macroeconomics and finance. In particular, we discuss the extent to which expectations are rational or may be described by simple forecasting heuristics, at the individual as well as the aggregate level.