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AI-driven product recommendation chatbots have markedly reduced operating costs and increased sales for marketers. However, previous literature has paid little attention to the effects of the personality of e-commerce chatbots. This study aimed to examine the ways that the interplay between the chatbot's and the user's personality can increase favorable product attitudes and future intentions to use the chatbot. Based on prior literature, we specifically focused on the degree of extroversion of both chatbot and user.

A total of 291 individuals participated in this study. Two different versions of chatbot were created for this study (i.e. extroversion: high vs. low). Participants self-reported their degree of extroversion. The PROCESS macro Model 1 and Model 7 with the Johnson–Neyman technique were employed to test the hypotheses.

The results showed that the high extroversion chatbot elicited greater user satisfactions and perceptions of chatbot friendliness among users with a high level of extroversion. On the contrary, the low extroversion chatbot resulted in greater user satisfactions and perceived chatbot friendliness among users with a low level of extroversion. This study further found that user satisfactions and perceived chatbot friendliness mediated the effects of the chatbot on greater intentions to use the chatbot and more favorable product attitudes.

By showing the effects of matching the personality of the chatbot and user, this study revealed that similarity-attraction effects also apply to human–chatbot interaction in e-commerce. Future studies would benefit by investigating the similarity-attraction effects in different characteristics, such as appearance, opinion and preference. This study also provides useful information for e-commerce marketers and chatbot UX/UI designers.

This study examines opinion leadership's personal and social characteristics to see which one is more effective in opinion leadership in four different industries: fashion, travel and tourism, wellness and book and literature. The specific subject of this investigation is how largely openness, exhibitionism and competence in interpersonal relationships and status and attitude homophily affect the opinion leadership and the decision-making of opinion leaders' followers.

The proposed model was tested with the questionnaire shared via stories featured on Instagram among followers of four micro-influencers in different industries. For the purpose of testing the offered hypotheses of this study, the partial least squares method was used.

The findings show that openness, exhibitionism and competence in interpersonal relationships have a substantial effect on opinion leadership. It was also evident that status and attitude homophily impact opinion leadership. The model supports the effect of both personal and social characteristics on opinion leadership; however, based on the results, the effect of personal characteristics on opinion leadership is more remarkable, both in a direct relationship and through the mediating role of para-social interaction.

This study is novel in categorizing opinion leaders' attributes in two different extents of personal and social characteristics. The authors defined a model of the effectiveness of each personal and social characteristic on opinion leaders. The model investigates whether the personal or social characteristics have the most effect on opinion leadership, particularly with the mediating role of para-social interaction.

The objective of the present study is to assess the financial literacy levels of students at a Brazilian university and investigate how these levels are affected by profile characteristics and personality traits.

Data were collected using SurveyMonkey, and a link to the questionnaire was sent by e-mail. The questionnaire contains three blocks of questions: demographics, financial literacy and personality traits. Ordered logistic regression was applied to a sample of 1,312 students.

Younger participants, those with higher incomes and men were more likely to have a high level of financial literacy. The same was true of those who were less extrovert, i.e. assertive, sociable, optimistic and communicative students. These results contribute to the field by indicating which population segments should be prioritized in efforts to promote financial literacy.

To the best of our knowledge, no study has compared Financial Literacy and Personality Traits in Brazil, a developing country that is only beginning to develop national financial literacy strategies.

Investors' behavior in financial markets is often under the influence of various psychological and cognitive factors, as well as personality characteristics. This research explores which behavioral factors and personality traits affect investment decisions and, consequently, investment performance.

A survey analysis was conducted on a sample of 310 investors in Croatia. Partial least squares structural equation modeling was used to obtain the results.

Overconfidence heuristic, prospect theory elements, emotions and stability and plasticity (as big two personality dimensions) positively affect investment decisions, while herding has a negative effect. Investment decisions, observed through the preference for long-term investments, consequently have a positive effect on the investment performance satisfaction.

This research proposes a unique comprehensive model of the effect of numerous different cognitive and psychological behavioral factors on investment decisions. Furthermore, the influence of investment decisions on investment performance is observed simultaneously. Understanding human behavior based on their personal characteristics can help investors to make better investment decisions. Advisors can learn from human behavior and guide their clients in the right direction when it comes to stock investment. Scientists will be able to replicate the model with other data and make comparative analyses.

This study aims to investigate the direct and indirect effects of leadership style and gender roles on managing familial conflict (MFC), as well as how such conflict resolution affects divorce decisions and overall marital satisfaction (SF) in Qatar.

A 20-item questionnaire, corresponding to 20 indicators for six latent variables, was administered to 550 married couples in Qatar. The Kaiser–Meyer–Olkin measure of sampling adequacy and Bartlett's test of sphericity were calculated. The path analysis was measured using structural equation modeling.

Matrimonial strategies adopted by spouses positively affected familial conflict resolution, and successfully MFC both positively affected marital SF and reduced the inclination to seek a divorce. However, men were not found to be visionary leaders in familial relationships regarding conflict resolution. Leadership gender stereotyping did not positively influence the perception of women's competency (WC). The WC did not positively affect the managing of familial conflict.

This study provides strategic insights regarding how MFC in Qatar influences marital SF. Understanding the determinants of divorce decisions and marital SF furthers understanding of how married couples can sustain healthy relationships.

This study empirically correlates three fields of family research: gender role; conflict resolution and marital SF. It explains how divorce issues have escalated in Qatar and explores the influence on modern social life of sexism, patriarchal roots and Oriental androcentrism. Many factors must be considered when examining matrimonial strategies (MSs), especially if there is debate over the ideal number of children. Strategizing models can curtail conflict that might lead to divorce.

Drawing on the person–supervisor fit theory, this study aims to adopts a dyadic and relational approach to investigate the congruence between the leader’s and the follower’s learning goal orientation (LGO) on their leader–member exchange (LMX) quality and the follower’s innovation.

The participants were 213 frontline employees and their 69 immediate supervisors from a large five-star hotel in China. The authors analyze the multiple-wave data using the cross-level polynomial regression approach.

The results show that when the levels of LGO between the leader and the follower are congruent, follower innovation and LMX are higher; when the levels of LGO between the leader and the follower are incongruent, it hinders LMX but benefits follower’s innovation.

This study implies that personality congruence and incongruence can be equally important in creating positive work outcomes, enriching the theoretical understanding and practical implications for promoting LMX and follower innovation in hospitality industry.

Prior research has identified the importance of employees’ LGO in promoting innovation. However, the fit between employees’ and their leaders’ LGO has not been investigated.

This paper investigates the interaction effects of gender diversity and diversity beliefs on group-level personality fit (“collective personality fit”) and group organizational citizenship behavior (GOCB). It seeks to provide a sufficient understanding of the under-researched area, such as how group composition impacts group behavioral outcomes.

Data were collected from 453 employees and their leaders in 63 teams of Korean private sector firms using a moderated-mediation model.

This study found that high diversity beliefs can weaken the negative effects of gender diversity on collective personality fit and further enhance GOCB. The results confirm the moderated-mediation effect of diversity beliefs in the relationship between gender diversity and GOCB.

Management should realize that the negative effect of workforce diversity on GOCB can be reduced by boosting collective personality fit in the team. In this process, enhancing diversity beliefs may relieve the adverse effects on GOCB caused by workgroup gender differences.

This study develops a group-level model proposing that the interaction effects of gender diversity and high diversity beliefs enable a high level of collective personality fit, enhancing GOCB. It attempts to investigate the effects of gender diversity at the group level under boundary conditions.

This study sought to test two competing sets of hypotheses derived from two different theoretical perspectives regarding (1) the effects of leader–follower similarity and dissimilarity in psychological resilience on the follower's absenteeism in times of organizational crisis and (2) the moderating effect of relational demography (gender and age similarity) in these relationships.

Polynomial regression and response surface analysis were performed using data from 510 followers and 149 supervisors in a financial firm in Canada.

The results overall support the similarity–attraction perspective, but not the resource complementarity perspective. Dissimilarity in resilience was predictive of followers' absenteeism, and similarity in surface-level conditions (gender and age) attenuates the relational burdens triggered by resilience discrepancy.

The findings reiterate the importance of developing employees' resilience, while shedding light on the importance for managers of being aware of their potential misalignment with subordinates resilience.

The results (1) suggest that it is the actual (di)similarity with the leader, rather than leader's degree of resilience, that shapes followers' absenteeism and (2) add nuance to the resilience literature.

The purpose of this paper is to explore the effect of a team’s personality faultlines on entrepreneurial performance. Additionally, this paper verifies the moderating effect of shared leadership on the connection between the two varies. The authors focus on the upper echelons theory and social identity theory as well as personality faultlines in entrepreneurial teams.

An online survey was conducted using data collected in China. Data from 618 members from 144 new venture teams were collected to examine the authors’ hypothesis.

The authors find a U-shaped relationship between the strength of entrepreneurial teams' personality-faultline and entrepreneurial performance. Additionally, shared leadership negatively moderates this U-shaped relationship. Specifically, when the entrepreneurial team has a high level of shared leadership, both the positive and negative relationships between the strength of the personality faultlines and entrepreneurial performance are weaker.

The research offers important theoretical and practical implications for the formation of entrepreneurial teams.

Although user stickiness has been studied for several years in the field of live e-commerce, little attention has been paid to the effects of streamer attributes on user stickiness in this field. Rooted in the stimulus-organism-response (S-O-R) theory, this study investigated how streamer attributes influence user stickiness.

The authors obtained 496 valid samples from Chinese live e-commerce users and explored the formation of user stickiness using partial least squares-structural equation modeling (PLS-SEM). Artificial neural network (ANN) was used to capture linear and non-linear relationships and analyze the normalized importance ranking of significant variables, supplementing the PLS-SEM results.

The authors found that attractiveness and similarity positively impacted parasocial interaction (PSI). Expertise and trustworthiness positively impacted perceived information quality. Moreover, streamer-brand preference mediated the relationship between PSI and user stickiness, as well as the relationship between perceived information quality and user stickiness. Compared to PLS-SEM, the predictive ability of ANN was more robust. Further, the results of PLS-SEM and ANN both showed that attractiveness was the strongest predictor of user stickiness.

This study explained how streamer attributes affect user stickiness and provided a reference value for future research on user behavior in live e-commerce. The exploration of the linear and non-linear relationships between variables based on ANN supplements existing research. Moreover, the results of this study have implications for practitioners on how to improve user stickiness and contribute to the development of the livestreaming industry.