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Financial professionals are increasingly important in the Indian financial system. Our study examines the association between the Big Five personality traits and Indian financial professionals' behavioral biases when making investment decisions.

After testing our questionnaire's reliability and validity, we used it to obtain the sample responses. We used multiple regression analysis and other statistical tools to identify the relationships between the Big Five personality traits and behavioral biases.

Our findings reveal a high level of extraversion and conscientiousness, a moderate level of agreeableness and openness and a low neuroticism level among financial professionals. The results show a significant association between neuroticism, extraversion, openness and all behavioral biases except anchoring bias. The neuroticism trait has a statistically significant relationship with all behavioral biases examined, whereas agreeableness and conscientiousness traits lack a significant association with behavioral biases. The openness trait is associated with many emotional biases and cognitive heuristics, while the extraversion trait has a significantly positive relationship with availability bias.

Future researchers could analyze primary (survey) and secondary investor data from brokerage houses. Using a larger sample could provide more generalizable findings. Researchers could also consider other aspects of investment decision-making using various asset classes. Understanding financial professionals' personality traits and behavioral biases could help them develop strategies to suit client needs.

This study provides the first comprehensive examination of the association between personality traits and behavioral biases of Indian financial professionals.

This study aims to analyse the impact of the big five personality traits on the financial risk tolerance of individuals. Furthermore, it also examines the differences in personality traits and financial risk tolerance across four generations: baby boomers, Generation X, millennials and Generation Z.

The data constituted 869 responses from Indian individuals, collected using a self-administered structured questionnaire using a convenience sampling technique.

Structural equation modelling analysis showed that openness to experience, extraversion and neuroticism had a significant impact on financial risk tolerance. Multivariate analysis revealed the role of specific personality traits in predicting the financial risk tolerance of generational cohorts. Mean difference showed that millennials and Generation Z had the greatest risk tolerance, whereas the tolerance levels were lower for Generation X and baby boomers.

This research provides insights into the role of personality on financial risk-taking among generational cohorts in India. Thus, these results cannot be generalised for other risk-taking domains or outside the Indian context.

This study’s results align with the pulse rate hypothesis of generational theory and contribute to the growing field of behavioural economics and finance. It provides a perspective of the emerging economy of India, where behavioural finance studies are still at a nascent stage.

This paper aims to examine the link between the Big Five personality traits and self-efficacy for teamwork, positioning manifest needs as intervening variables. The primary purpose of the analyses is to further develop some of the key variables contributing to team performance.

Relationships were tested with conditional process analysis. The sample includes 315 students from a large university. Likert measures were used to operationalize survey items, which are based on existing scales in the literature.

Each of the Big Five dimensions are related to teamwork self-efficacy (TSE), with manifest needs having significant mediating effects. For example, conscientiousness displayed a positive relationship to TSE, with both the need for affiliation and the need for power acting as significant intervening variables. Such relationships for each personality dimension are discussed fully in the paper.

High functioning teams need members who share a level of self-efficacy for engaging in teamwork. Leaders who must form their teams may find it useful to consider TSE, and the individual attributes that contribute to this important construct. The authors’ examination of the roles of both personality and manifest needs should offer some essential tools for this objective.

This paper contributes to our understanding of the relationship between personality and TSE by investigating manifest needs as process variables.

This study investigates how personality traits influence individuals’ intention to become community group buying (CGB) leaders.

Data include 517 valid questionnaires that are employed to examine the research model and test the hypotheses using partial least squares structural equation modeling.

This study reveals that among the Big Five personality traits, extroversion and neuroticism have more impact on the perceived ease of use and usefulness of social media, and individuals with high levels of these traits are more likely to become CGB leaders. Perceived ease of use only mediates the relationship between agreeableness and CGB leader intention, whereas perceived usefulness mediates the relationships between conscientiousness and CGB leader intention and neuroticism and CGB leader intention.

This study can serve as a catalyst for advancing the exploration of how personality traits and social media affect the intention of being CGB leaders. In addition, the study investigates the mediating effect of social media technology acceptance obtaining valuable insights into how social media affects individuals’ intention to become CGB leaders, expanding the research in this field.

• (1)

  Individuals with extroversion, neuroticism, and conscientiousness personality traits exhibit higher perceived ease of use and usefulness of social media.

• (2)

  Unlike previous research suggested, neurotic individuals appear to be attracted to becoming community group buying (CGB) leaders.

• (3)

  Individuals with high agreeableness are encouraged by ease in pursuing CGB leadership.

• (4)

  Perceived usefulness mediates the relationship between conscientiousness and CGB leadership intention and neuroticism and CGB leader intention.

Individuals with extroversion, neuroticism, and conscientiousness personality traits exhibit higher perceived ease of use and usefulness of social media.

Unlike previous research suggested, neurotic individuals appear to be attracted to becoming community group buying (CGB) leaders.

Individuals with high agreeableness are encouraged by ease in pursuing CGB leadership.

Perceived usefulness mediates the relationship between conscientiousness and CGB leadership intention and neuroticism and CGB leader intention.

Earlier studies have shown that individuals with business education and the personality traits listed in the big-five model are more inclined to pursue entrepreneurial activities. The Big-Five Model of personality is one of the prominent taxonomies, which highlights five fundamental human's traits. However, the big-five model does not cover all baseline personality features essential for pursuing an entrepreneurial career. Drawing on the trait-factor theory of career choice, this study discusses action-oriented traits as a driving force for individuals to pursue entrepreneurship as a foremost career choice in the context of developing economies.

Data of 599 recent graduates, who just completed their university degrees and about to join the job market, were collected through surveys and analyzed after achieving the model-fit.

Results highlighted that three action-oriented traits (innovativeness, risk-taking and competitiveness) aspire individuals to pursue entrepreneurial careers. In addition, a multi-group analysis of business vs. non-business educational backgrounds revealed that business related education is not the only strong precursor leading to the pursuit of an entrepreneurial career.

This study draws attention to the belief of higher educational consultants, institutes and policymakers that investment in certain trait development can increase the number of new entrepreneurs in an economy.

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.

A study explored whether the Big Five personality traits and their affective, behavioral, cognitive and desire components (ABCD) components were relevant to authentic self-development (ASD) through workplace coaching. The authors assessed the personalities of 176 clients both before and after they worked with coaches. Results showed higher levels of mean AB mediated associations between personality and perceived competence and goal commitment, Personality predicted goal self-concordance, but these effects were not mediated by AB. Meanwhile, neither personality nor AB predicted goal stability.

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 the research paper is to investigate the relationship between personality traits and investment decisions in the crypto market, including cryptocurrencies and NFTs. The study aims to explore the effect of dark personalities and the big five personalities on investment decisions in the crypto market.

The research was conducted through two online questionnaire studies. In Study 1, data were collected from the general public, while in Study 2, data were collected from crypto investors. The researchers analyzed the effect of dark personalities and the big five personalities on investment decisions in the crypto market.

The present research found that Machiavellianism, narcissism, psychopath, sadism and extraversion have positive effects on having crypto investments. In addition, focusing on actual crypto investors, the present paper showed that personalities including Machiavellianism, narcissism, psychopath, consciousness and extraversion have statistically significant effect on investment decisions such as making investments in Bitcoin.

The study is original in exploring the relationship between personality traits and investment decisions in the newly emerging crypto market, including cryptocurrencies and NFTs. The research provides insights into how different personality traits affect investment decisions in the crypto market, which can be valuable for investors in making informed decisions.

The study aims to propose a predictive model that combines personality and demographic factors to predict student academic performance (SAP). This research study works on understanding, enhancing and applying techniques to enhance the prediction of SAP.

The authors gathered information from 305 university students from Al-Zintan University Libya. The study uses a survey questionnaire to collect data on essential variables. The purpose of the questionnaire is to discover variables that affect students' academic performance. The survey questionnaire has 44 closed questions with Likert scale designs that were distributed to a variety of college students at the start of the first semester of 2022. It includes questions about demographics, personality, employment and institutional aspects. The authors proposed a predictive model to identify the main fundamental components, consisting of one dependent variable (SAP) and five independent constructs. The suggested model is tested using partial least squares (PLS) and structural equation modeling (SEM), which perform better than covariance-based structural equation modeling (CB-SEM). PLS-SEM performs well with smaller sample sizes, even for complicated models.

The study results show that the proposed model accurately predicted the student's academic performance. The personality trait variables are a key factor that determines the actual student's academic performance. The student's academic performance is significantly impacted by each variable in the personality trait variables as well.

The process of validating research was done empirically through the accuracy and efficiency of model performance. The study differs from previous studies in that it accumulated a wide range of factors from different dimensions, including student demographics and personality trait factors. The authors developed a structural equation model to predict students' academic performance.

Online employee reviews have emerged as a crucial information source for business managers to evaluate employee behavior and firm performance. The purpose of this paper is to test the relationship between employee personality traits, derived from online employee reviews and job satisfaction and turnover behavior at the individual level.

The authors apply text-mining techniques to extract personality traits from online employee reviews on Indeed.com based on the Big Five theory. They also apply a machine learning classification algorithm to demonstrate that incorporating personality traits can significantly enhance employee turnover prediction accuracy.

Personality traits such as agreeableness, conscientiousness and openness are positively associated with job satisfaction, while extraversion and neuroticism are negatively related to job satisfaction. Moreover, the impact of personality traits on overall job satisfaction is stronger for former employees than for current employees. Personality traits are significantly linked to employee turnover behavior, with a one-unit increase in the neuroticism score raising the probability of an employee becoming a former employee by 0.6%.

These findings have implications for firm managers looking to gain insights into employee online review behavior and improve firm performance. Online employee review websites are recommended to include the identified personality traits.

This study identifies employee personality traits from automated analysis of employee-generated data and verifies their relationship with employee satisfaction and employee turnover, providing new insights into the development of human resources in the era of big data.

This study aims to present and test a model of small business owners’ adaptation during the COVID-19 pandemic, through the lenses of the resource-based view of the firm, upper echelon theory (UET) and positive psychology. Specifically, it examined the relationships between personal characteristics and strategic pivot behavior in a sample of small business owners during a peak period of the crisis in Israel.

A sample (N = 202) of small business owners provided information on their business and demographics, and responded to questionnaires assessing their personality (Big Five personality traits), emotional intelligence (EI) and reported the extent to which they implemented strategic changes during the pandemic. These changes were categorized as “positive” (e.g. shifting to new markets, adding partners or investors) or “negative’ (e.g. letting employees go).

The results partially support an association between personality traits and “positive” strategic change behavior, mediated by EI.

The results suggest that business owners' personality traits, and chief among them – EI may play a key role in enabling flexibility when dealing with a long-term crisis or threat. However, market and legislative differences between markets may limit the generalizability to other sectors or countries.

To the best of the authors’ knowledge, this study is among the first to address small businesses’ COVID-19-related challenges from a personal-resource perspective by applying a theoretical lens integrating the RBV of the firm, UET and positive psychology. The findings provide a better understanding of the ways in which business owners’ personal resources account for business pivot behavior in times of crisis.