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In this study, it is investigated whether narcissistic tendencies can predict financial literacy overconfidence.

Financial literacy overconfidence is analyzed under these three subcategories: overestimation, overplacement and overprecision, according to individual's self-perception of his/her own financial literacy. In order to evaluate narcissistic tendencies, the Turkish version of the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders Axis II (SCID II) Fourth Edition (DSM-IV) is used. To measure the financial literacy overestimation, overplacement and overprecision biases, a multistaged measurement process designed specially on basic and advanced financial literacy is implemented.

The current study provides strong evidence that narcissistic tendencies are predictors of financial literacy overestimation, overplacement and overprecision biases. These tendencies in men are greater than in women. Evaluated risk factors of being exposed to these biases among people who have narcissistic tendencies are found to be greater than among people who do not have those tendencies. Due to a particular exposure of narcissistic tendencies, the probability of financial literacy overprecision bias has the highest rate among the others, and it is followed by overestimation and overplacement bias.

This is the first study that measures overconfidence under three subcategories of overestimation, overplacement and overprecision, according to financial literacy. For this reason, it is believed that these results provide valuable evidence in favor of the relation between overconfidence in finance and narcissistic tendencies.

This meta-analysis reviews and summarizes the results of 34 studies to investigate the relationship between overconfidence and financial decision-making.

A correlation meta-analysis was conducted with three moderators of the relationship between overconfidence and financial decision-making examined: the type of overconfidence construct, the type of overconfidence measuring method and the type of financial decision-making.

It was found that the effect of overconfidence on financial decision-making was significant, but the magnitude of this effect was low. Additionally, indirect measures of overconfidence showed to have stronger effect than direct measures, and the overconfidence was mostly related to investment, followed by trading and innovativeness.

This was the first attempt to meta-analytically integrate results concerning the relationship between overconfidence and financial decision-making. Although overconfidence is described as a keystone for understanding financial decision-making, it was shown that it has rather limited effect on individuals' financial decisions. The findings suggest that indirect measures increase the overall effect and may cause the overvaluation of overconfidence in literature. The results call for more rigorous and consistent conceptualization of overconfidence in behavioral research.

Decision-making biases play substantial roles in entrepreneurs' decisions and the fate of entrepreneurial enterprises, as well. Previous studies have assumed all entrepreneurs are homogeneous in their proneness to biases, therefore inadvertently creating a crucial research gap by ignoring the role of business experience in the genesis of biases. Furthermore, there is a lack of research on women entrepreneurs' decision-making biases. Thus, this paper's main objective is to explore two influential biases of overconfidence and over-optimism in novice and habitual women entrepreneurs.

The data for this study were collected by conducting semi-structured interviews with 21 Iranian novice and habitual women entrepreneurs active in four high-tech sectors of biotech, nanotech, aerospace and advanced medicine. The gathered data were analyzed by thematic analysis.

According to the findings, while habitual entrepreneurs are prone to all three types of overconfidence (overestimation, overplacement and overprecision) and over-optimism, novice entrepreneurs do not show any signs of overplacement or overprecision.

There are certain valuable implications resulting from this study that could be of use for not only future researchers in the field of entrepreneurial decision-making and women entrepreneurship but also for women entrepreneurs running entrepreneurial enterprises, especially small businesses.

This paper offers certain novel contributions to the field of entrepreneurship by not only exploring biases in women entrepreneurs exclusively but also scrutinizing biases in novice (first-time) and habitual (experienced) entrepreneurs comparatively.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Habitual entrepreneurs are prone to all three types of overconfidence (overestimation, overplacement and overprecision) and to overoptimism. Novice entrepreneurs are prone to one type of overconfidence (overestimation) and to overoptimism.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The purpose of this study, which is grounded in decision-making theory, is to explore whether the occurrence of meaningful coincidences can positively influence executive confidence during periods of crisis.

Through a qualitative study with 24 interviews, this study focuses on Italian hospitality facilities in the Campania Region of southern Italy to explore how an executive confidence led by meaningful coincidences can influence managerial decisions during crisis situations. Data are analyzed through a deductive coding for qualitative analysis.

The framework proposes the connection by coincidences and confidence, emphasizing the process through which meaningful coincidences can positively influence executive confidence and managerial decision-making. The insights that emerge suggest a number of positive and beneficial aspects for decision-making during a period of crisis such as the COVID-19 pandemic.

To the best of the authors’ knowledge, this is the first study in the literature aimed at investigating, by means of qualitative methodologies, the positive outcomes of executive confidence in decision-making led by meaningful coincidences during crisis periods in the specific context of the Italian hospitality industry.

The purpose of this study is to address why managers enter the excessive market. A comparison of the facts and perceptions of entrants relative to success in the market shows that many entrants are confident about the viability of their businesses and enter the market. Accordingly, the authors simulate market entry decisions to detect behavioral biases.

The authors adapted the entry decisions simulation method, which is supported by the theoretical foundations of signal detection theory (SDT) and signaling theory. The simulation model is implemented on the Anaconda platform and written in Python 3.

The results of this study suggest that overestimation relates to excess market entry. Also, the proportion of excess entry under difficult conditions is always higher than under easy conditions.

This research helps managers and firms think about their and their competitors' abilities and evaluate them before entering the market. Policymakers and practitioners can also design programs such as experiential learning to help entrants assess their skills.

So far, no research has investigated the role of overconfidence under different market conditions. Accordingly, this study contributes to the current market entry literature by disentangling the debate between absolute and relative confidence and by considering the role of task difficulty.

Overconfidence bias is considered to be a very influential decision-making bias in the business environment. This paper aims to identify the susceptibility of management accountants to overconfidence-related overplacement bias and to determine its pervasiveness among these professionals.

Two international samples of management accountants were surveyed using overplacement bias elicitation questions. The hypothesis that bias susceptibility varies between management accountants in different hierarchical employment positions was tested employing binary logistic regression.

Management accountants are found to be susceptible to overplacement bias, yet its pervasiveness among the samples is similar to other sample populations in comparable studies. Management accountants in the position of Chief Financial Officer (CFO) were found to be more susceptible to overplacement bias than their colleagues in other management accountant and business management positions.

The use of convenience sampling represents a limitation of the research.

The findings confirm that there is a need for syllabi and continual professional development projects to educate management accountants on this bias. CFOs are especially at risk of being overconfident, which may not be in the best interest of the business.

This is the first paper to assess overplacement bias in management accountants as a group of decision-makers, especially within the context of their increasing involvement in business decision-making.

The purpose of this paper is to determine how CEO overconfidence influences firm’s future risk in a sample of Chinese listed firms. It further examines the moderating effect of institutional investors on the association between CEO overconfidence and future firm risk.

The initial sample consists of Chinese A-share issuing firms listed on Shanghai and Shenzhen Stock Exchanges during the period starting from 2000 to 2017. This study classifies a CEO as overconfident if the forecasted profits of the firm are greater than the actual profits for majority of the time during the tenure of the CEO. Ordinary least squares regression is used as the primary estimation method for generating the results, however, firm fixed effects and two-stage least squares regressions have also been used for verifying the robustness of the results.

The results demonstrate that CEO overconfidence leads to an escalation in firm’s risk level over the subsequent years. However, the intensity of this positive association is weaker in state-owned firms. Analysis of the moderating effect of institutional investors reveals that only active institutional investors, specifically mutual funds and foreign institutional investors, play their governance role in reducing the effect of CEO overconfidence on firm’s risk level. Furthermore, the moderating effect of active institutional investors is weaker in state-owned firms.

The empirical evidence obtained by this study suggests that CEOs should exercise extreme diligence in decision-making. They must analyze a situation based on realistic facts and figures, rather than having misperception about their excessive abilities in controlling the outcomes of a situation. The findings also imply that regulators and policymakers should formulate strategies for motivating mutual funds and foreign investors to increase their shareholding in Chinese firms.

To the best of the authors’ knowledge, this is the first study that examines the impact of CEO overconfidence on future firm risk, not the current firm risk. Besides, literature regarding the role of external governance mechanisms in the context of behavioral biases is extremely scant. This study contributes to the literature by analyzing how the association between CEO overconfidence and firm’s future risk is influenced by the institutional investors’ ownership.

This paper aims at assessing the impact of a number of behavioral interventions on the willingness of informal businesses, in the Egyptian informal sector, to join the formal sector.

This paper uses an experimental methodology to examine the impact of behavioral interventions on the formalization of the Egyptian informal sector. Specifically, it conducts a survey experiment on a total of 240 informal businesses, operating in the Egyptian informal sector. The primary data collected from the survey experiment is then analyzed using a binary logistic regression to assess the impact of the behavioral primes on the probability of joining the formal market.

The empirical findings of the survey experiment indicate that the biggest obstacle facing informal businesses is finding a formal source of finance that could help them in penetrating the market. Providing informal businesses with information on funding opportunities offered by the ministry of micro, small and medium enterprises (MSME) significantly increased the probability of joining the formal sector to benefit from this opportunity.

This paper is the first to apply behavioral primes, in the form of informational cues, to the Egyptian case of informal business owners. Previous research on the use of behavioral nudges and primes has focused mainly on the western economies.

Escalation of commitment is one of the most important decision-making biases among entrepreneurs and may deprive them of valuable resources and even result in their eventual failure. Many entrepreneurs become escalated to their ongoing plans by allocating more resources, even after receiving negative feedbacks regarding those plans. Although the escalating behavior is an inherent part of the entrepreneurial cognition, previous studies have mostly ignored its antecedents among entrepreneurs. This dearth of studies is more severe regarding women entrepreneurs, whose biases have rarely been investigated. Therefore, this paper aims to explore the antecedents of the escalation of commitment among women entrepreneurs.

To explore the antecedents of the escalation of commitment in women entrepreneurs’ decisions based on their lived experiences, this paper used a narrative inquiry. The data were collected by conducting in-depth interviews with three Iranian women entrepreneurs running small businesses and analyzed by narrative data analysis.

According to the findings, bitter memories of previous failures, overconfidence and familial pressure are the main antecedents of the escalation of commitment in women entrepreneurs.

This study has a very important managerial implication for women entrepreneurs, who should know that while decision-making biases may occur unintentionally, they are able to reduce the harmful effects and enhance the benefits of biases by knowing their most common signs.

This study is a pioneer in exploring women entrepreneurs’ biases and took a novel approach by conducting a narrative analysis of women entrepreneurs’ escalation of commitment.