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This study aims to explore the role of team personality and leader’s humor style on the use of humor in group communication and the extent to which group humor mediates the association between team personality on the one hand, psychological safety, collective emotional intelligence and group satisfaction on the other hand.

The authors used a survey to collect data from 304 employees nested in 83 groups working in organizations from various sectors in Romania.

The study results show that extraversion is positively associated with group affiliative humor, while neuroticism has a positive association with group aggressive humor. The leader’s affiliative humor style had a significant positive effect on group affiliative humor, while the effect of leader’s aggressive humor style on the use of aggressive humor in groups was not significant. Furthermore, the authors examined the mediation role of group humor in the relationship between team personality and team emergent states and satisfaction. The authors found that group aggressive humor mediates the association between neuroticism and group emotional intelligence, psychological safety and satisfaction, while affiliative humor mediates the association between extraversion and emotional intelligence and team satisfaction.

The study reports one of the first attempts to explore the multilevel interplay of team personality and humor in groups as they relate to emergent states.

This study aims to examine the relationship between the personality dimensions of consumers and celebrities; the effect of celebrity personality on attitude towards the celebrity; and the effect of attitude towards the celebrity on purchase intention.

Data were gathered from 400 respondents in the North of England to explore the connections between five consumer personality dimensions (agreeableness, extroversion, openness, conscientiousness and neuroticism) and nine celebrity personality dimensions (neuroticism, extroversion, openness, agreeableness, conscientiousness, sincerity, excitement, stylishness and positivity) and were analysed using structural equation modelling.

The findings suggested that some dimensions of consumer personality, i.e. conscientiousness, extroversion and openness, were significantly related to all the celebrity personality dimensions. Moreover, all the celebrity personality dimensions had a significant effect on consumers’ attitude towards the celebrity; however, only neuroticism, extroversion, openness, sincerity and positivity significantly affected purchase intention. Finally, attitude towards the celebrity had a significant effect on purchase intention.

The study introduces a celebrity personality scale and explores a topic that has not previously been researched.

This study investigates how performance pressure affects feedback-seeking and innovative work behaviors. The study also examines the effect of extraversion on the performance pressure–FSB relationship.

The hypotheses in this study were tested by analyzing two-wave data collected from a sample of employees in the information technology sector in India using the PLS-SEM approach.

Our findings revealed that individuals possessing extraverted personality traits exhibited a positive response to performance pressure, thereby enhancing their FSB. Moreover, our results demonstrated that FSB mediates the relationship between performance pressure and IWB.

The results underscore the importance of individual variations in personality traits, particularly extraversion, in influencing how employees respond to performance pressure. By providing insights into the mediating mechanism of feedback-seeking behavior, our study contributes to a deeper understanding of the interplay between performance pressure, feedback-seeking behavior and innovative work behavior.

Managers should consider extraversion as a factor in the relationship between performance pressure and FSB, adapting strategies and support systems accordingly. Creating a feedback-oriented culture and providing resources for extroverts during high-pressure periods can enhance their coping mechanisms.

Previous research has provided a limited exploration of the mechanisms that establish the connection between job demands and innovative work behaviors. This study contributes by uncovering the previously unexplored relationship between performance pressure, extraversion, feedback-seeking behavior and, subsequently, innovative work behavior.

Online open innovation platforms provide opportunities for product users to participate in the innovation process and contribute their ideas to the platform. Nonetheless, they also present a significant challenge for platform managers, who select high-quality innovations from a massive collection of information with diverse quality.

In this study, the authors employed a machine learning method to automatically collect a real dataset of 2,276 innovations and 30,004 detailed comments from the online platform of IdeaExchange and then conducted empirical experiments to verify the study hypothesis.

Results show that extraversion, conscientiousness and openness to experience positively and directly influenced the quality of their innovation. Furthermore, an individual's social network position mediated among extraversion, neuroticism, conscientiousness and openness to experience and the quality of an innovation.

Results showed that extraversion, conscientiousness and openness to experience positively and directly influenced the quality of their innovation. Furthermore, an individual's social network position mediated among extraversion, neuroticism, conscientiousness, openness to experience and the quality of innovations.

This study combined the Big Five personality traits theory and social network theory to examine the association between user intrinsic personality traits, social network position and the quality of their innovative ideas in the context of online innovation platforms. Additionally, the findings provide new insights for platform managers on how to select high-quality innovation information by considering user personality traits and their social network position.

The present study aims to investigate the relationship between innovative leadership and sustainable performance in the education sector. The present study also tested the moderation role of personality traits agreeableness, extraversion, emotional stability, conscientiousness and openness in the relationship.

Data for the present study were collected from 209 university teachers. The employed sampling technique was convenience, and the sample size was calculated through the Kerjis–Morgan method. Furthermore, a survey method using a questionnaire was used in this study. For the data analysis, SPSS and SmartPLS were used.

The present study found that innovative leadership has a significantly positive relationship with sustainable performance. Results also confirmed the moderating effects of personality traits such as agreeableness, extraversion, emotional stability, conscientiousness and openness.

The relationship between innovative leadership and sustainable performance for the first time in the education sector’s context. Secondly, this study contributed to the moderating role of personality traits such as agreeableness, extraversion, emotional stability, conscientiousness and openness between innovative leadership and sustainable performance, which was a yet-to-explored phenomenon. The study model was tested through the combination of the big five-factor model and the theory of planned behaviour, which is another novelty of the study.

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.

In the ever-evolving digital landscape, this study aims to explore which specific personality traits contribute to the innovativeness of startups, with a particular emphasis on understanding how technology adoption mediates this relationship. By doing so, the authors strive to unveil the nuanced dynamics of personality, technology adoption and startup innovativeness in the digital era.

The authors conduct a quantitative empirical analysis using a sample of 1,314 German startups. This study utilizes a mediation analysis to examine the effects of personality traits on the innovativeness of startups, taking technology adoption as a mediator into account.

The empirical results show certain personality traits have direct effects on innovativeness. Also, the results show that technology adoption is a driver of startup innovativeness. In addition, these traits are (partially) mediated by technology adoption.

The results shed new light on the interplay of entrepreneurs' personality and technology adoption in relation to startup innovativeness and therefore underline the importance of technology in this triangular relationship. The authors employ secondary data from startups in Germany, which complicates generalization of the results to other geographical and cultural contexts.

This study contributes to the scientific debate on the role of personality traits in entrepreneurship by providing empirical evidence on the mediating effect of technology adoption in the relationship between personality traits and startup innovativeness. The findings offer valuable insights for researchers, entrepreneurs and policymakers interested in understanding and promoting innovativeness in the context of startups.

This study examines the role of the big five personality traits: conscientiousness, openness, extroversion, neuroticism and agreeableness in financial planning.

The research design is a quantitative approach. The study has used structured questionnaires to collect data from 403 business students. The hypotheses were tested through structural equation modeling using AMOS.

The findings revealed that extroversion of personality traits have a significant negative influence on financial planning, neuroticism and conscious personalities have a significant positive effect on financial planning. However, two personality traits, namely openness and agreeableness, have no significant influence on financial planning. The study confirmed that out of five, three personality traits have significant impact on financial planning.

The results suggest that all personality traits do not influence financial planning among students. Financial planning is deemed an essential decision in life. Although some people are very conscious about their future expenditures, others are not much concerned. Based on the findings, this study recommends that policymakers may conduct workshops and arrange seminars and conferences for the promotion of financial planning and individual's financial well-being. The government needs to promote financial education that can directly and indirectly enhance the saving planning capabilities of the people.

The results suggest that not all personality traits facilitate financial planning. Financial planning is deemed as a crucial decision in life. Some students are very conscious about their future expenditures, while others are not much concerned. This study recommends that policymakers conduct workshops and arrange seminars and conferences to promote financial planning and individuals' financial well-being. The government of Pakistan needs to promote financial education that can, directly and indirectly, enhance the savings and planning capabilities of the students.

This research contributes to the personality literature, the theory of planned behavior and the life cycle theory by testing the model based on empirical evidence. The current study is the first to focus on the role of the big five personality traits in financial planning among students in Pakistan, an emerging economy.

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.

The present study’s aims are twofold: 1) to contribute to theory development by accounting for both personality and trust in the conceptualization of technology acceptance using the technology acceptance model (TAM) as the theoretical framework; and 2) to explore the influence of ChatGPT-integrated chatbots on tourism behavior.

The target population for this study was travelers who previously used technology (website/ app) to plan their holiday abroad. An online survey questionnaire created with Google Forms was distributed via a panel company (iPanel). A screening question was included to filter out respondents who have not previously used technological means to plan their holiday abroad. A panel company (iPanel) was hired to collect data from a convenience sample of 305 Israeli tourists who met the above criterion between August 22 and 27, 2023, and were at least 18.

A significant and positive relationship was observed between trust in ChaptGPT and perceived usefulness. Furthermore, a significant and positive association was observed between perceived ease of use and intentions to use ChatGPT-integrated chatbots to plan future holidays. Post hoc analyses suggest that perceived ease of use mediates the relationship between extraversion and trust, trust mediates the relationship between perceived ease of use and perceived usefulness and age moderates the relationship between perceived ease of use and behavioral intentions.

Data was collected from a convenience sample of Israeli travelers. Hence, generalizations to other countries, nationalities and cultures should be treated carefully; the study is cross-sectional and thus represents respondents’ beliefs and behavioral intentions at a particular time; and the study is based on one of several theoretical frameworks that can be used to conceptualize behaviors associated with using AI by tourists.

The findings of the present study point to the importance of accounting for tourists’ personal factors, such as personality and age, in developing AI products in the tourism industry. chief executive officers and relevant shareholders would benefit from conducting market research to obtain insights into the factors that may enhance or hamper tourists’ adoption of AI-based technology for planning their holidays abroad.

Previous work falls short of accounting for personality traits and trust in a single model using the TAM framework. To the best of the authors’ knowledge, this is the first study empirically investigating tourism behavior related to ChatGPT based chatbots as a tool to plan future holidays abroad. Furthermore, the possible role of age as a moderating variable was overlooked in past research.

本研究的目标有两个：1）采用技术接受模型作为理论框架, 通过考虑技术接受概念化中的个性和信任来促进理论发展; 2）探讨ChatGPT集成的聊天机器人对旅游行为的影响。

本研究的目标人群是以前使用技术（网站/应用程序）计划出国度假的旅行者。使用 Google Forms 创建的在线调查问卷通过小组公司 (iPanel) 分发。其中包含一个筛选问题, 以筛选出之前未使用技术手段计划出国度假的受访者。聘请了一家调查公司（iPanel）来收集 305 名以色列游客的便利样本数据, 这些游客在 2023 年 8 月 22 日至 27 日期间符合上述标准, 且年龄至少为 18 岁。

在 ChaptGPT 的信任度和感知有用性之间观察到显着且积极的关系。此外, 观察到易用性与使用集成 ChatGPT 的聊天机器人来计划未来假期的意向之间存在显着且正相关的关系。事后分析表明, 感知的易用性调节了外向性和信任之间的关系; 信任调节感知易用性和感知有用性之间的关系, 年龄调节感知易用性和行为意愿之间的关系。

以前的工作未能在单个模型中使用技术接受模型框架来解释个性特征和信任。这是第一项实证研究, 调查与 ChatGPT 集成聊天机器人相关的旅游行为, 作为规划未来出国度假的工具。此外, 过去的研究忽视了年龄作为调节变量的可能作用。

1）数据是从以色列旅行者的便利样本中收集的。因此, 应该谨慎对待对其他国家、民族和文化的概括; 2）该研究是横断面的, 因此代表了受访者在特定时间的信念和行为意愿; 3）该研究基于几个理论框架之一, 该框架可用于概念化游客使用 ChatGPT 集成聊天机器人来计划未来出国度假的意向。

本研究的结果表明, 在开发用于旅游业的基于 ChatGPT 的聊天机器人时, 考虑游客的个人因素（例如个性和年龄）的重要性。首席技术官和相关股东将受益于进行市场研究, 以深入了解可能增强或阻碍游客采用基于 ChatGPT 的聊天机器人来规划未来出国度假的因素。

Los objetivos del presente ossib son dos: 1) contribuir al ossibleo de la teoría incorporando la personalidad y confianza en la conceptualización de la aceptación de la tecnología empleando el Modelo de Aceptación de la Tecnología como marco teórico; 2) analizar la influencia de los chatbots integrados en ChatGPT en el comportamiento turístico.

La población objetivo de este ossib fueron los viajeros que anteriormente utilizaban tecnología (página web/aplicación) para planificar sus vacaciones en el extranjero. Se distribuyó un cuestionario online creado con Google Forms a través de una empresa de paneles (iPanel). Se incluyó una pregunta de selección para filtrar a los encuestados que no habían utilizado previamente medios tecnológicos para planificar sus vacaciones en el extranjero. Se contrató a una empresa de paneles (iPanel) para recopilar datos de una muestra de conveniencia de 305 turistas israelíes que cumplieron el criterio anterior entre el 22 y el 27 de ossib de 2023, y con una edad ossib de 18 años.

Se identificó una relación ossibleon y ossible entre la confianza en ChaptGPT y la utilidad percibida. Además, se evidenció una asociación ossibleon y ossible entre la facilidad de uso percibida y la intención de ossible chatbots integrados en ChatGPT para planificar futuras vacaciones. Los análisis post-hoc sugieren que la facilidad de uso percibida media la relación entre la ossibleon y la confianza; la confianza media la relación entre la facilidad de uso percibida y la utilidad percibida, y la edad modera la relación entre la facilidad de uso percibida y las intenciones de comportamiento.

1) los datos se recopilaron de una muestra de conveniencia de viajeros israelíes. Por tanto, las generalizaciones a otros países, nacionalidades y culturas deben tratarse con cuidado; 2) el ossib es transversal y, por tanto, representa las creencias y las intenciones de comportamiento de los encuestados en un momento determinado; 3) el ossib se basa en uno de los diversos marcos teóricos que pueden emplearse para conceptualizar la intención de los turistas de ossible chatbots integrados en ChatGPT para planificar futuras vacaciones en el extranjero.

Los resultados del presente ossib señalan la importancia de tener en cuenta los factores personales de los turistas, como la personalidad y la edad, en el ossibleo de chatbots basados en ChatGPT para su uso en la industria turística. Los directores de tecnología y los stakeholders relevantes se beneficiarían de investigación de mercado para obtener información sobre los factores que pueden mejorar o dificultar la adopción de chatbots basados en ChatGPT por parte de los turistas para planificar futuras vacaciones en el extranjero.

Los trabajos anteriores no tienen en cuenta los rasgos de personalidad y la confianza en un único modelo utilizando ossible TAM. Este es el primer ossib que investiga empíricamente el comportamiento turístico relacionado con los chatbots basados en ChatGPT como herramienta para planificar las futuras vacaciones en el extranjero. Además, en investigaciones anteriores no se ossible el ossible papel de la edad como variable moderadora.