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The purpose of this study is to explore the potential and growth of big data across several industries between 2016 and 2020. This study aims to analyze the behavior of interest in big data within the community and to identify areas with the greatest potential for future big data adoption.

This research uses Google Trends to characterize the community’s interest in big data. Community interest is measured on a scale of 0–100 from weekly observations over the past five years. A total of 16 industries were considered to explore the relative interest in big data for each industry.

The findings revealed that big data has been of high interest to the community over the past five years, particularly in the manufacturing, computers and electronics industries. However, over the 2020s the interest in the theme decreased by more than 15%, especially in the areas where big data typically had the greatest potential interest. In contrast, areas with less potential interest in big data such as real estate, sport and travel have registered an average growth of less than 10%.

To the best of the author’s knowledge, this study is original in complementing the traditional survey approaches launched among the business communities to discover the potential of big data in specific industries. The knowledge of big data growth potential is relevant for players in the field to identify saturation and emerging opportunities for big data adoption.

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 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.

The purpose of this study is not only to develop an integrated model of subjective well-being (SWB) by using confirmatory factor analysis (CFA) and structural equation modeling (SEM) but also to prioritize the subfactors of personality and SWB that affect the contextual performance (CP) of an employee by using a fuzzy-analytical hierarchy process (FAHP), which has not been done in the past.

The data were collected from 15 field experts and 412 employees of information technology (IT) companies operating in India. The data analysis was performed in two stages. The first stage includes CFA and SEM. The second stage includes prioritizing the factor through FAHP.

The results of SEM analysis manifested that all the dimensions of personality have a significant impact on CP. However, in the case of SWB, only two components (satisfaction with life and positive affect) have a significant impact on CP. Results of FAHP show that SWB is more important in predicting CP than the Big Five personality dimensions.

This research is a novel attempt to test and prioritize the factors affecting the CP of IT employees. The findings of the research will be useful for managers in increasing the performance of their employees. Further, the findings of the research will contribute to the literature on the factors affecting CP.

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.

In the age of nine-figure transfer fees and football stars building their own brands and follower base, a shift in fan identification in football appears to be taking place as athletes can build strong connections with their followers. This paper examines the level of identification shown by football fans towards both their favourite team and their favourite player, in connection with the concept of fan loyalty.

A total of 4,707 international respondents participated in an online survey to examine the relationship between fan identification and fan loyalty, and to measure the impact of variables like country, player, club, on fan identification using multi-regression analyses.

The results underline the strong presence of team identification compared to identification of single players. Results have also revealed that the relationship between a fan's favourite team and player has a significant impact on identification levels towards both actors. Fans supporting a foreign club were found to show significantly stronger team identification than those who support a club from their own country or region.

This research contributes to the growing body of publications in the field of sports consumer research and underlines the importance of understanding the quality of relationships and thus the identification of fans with clubs and individual players for the stakeholders involved. International sports marketing is becoming increasingly important and an understanding of fan interests is essential for effective marketing, as information on trends in fan interests enables a more tailored strategy for clubs and sponsors.

Considering that knowledge, skills and behavior can influence sustainability efforts, this study aims to assess which personality traits influence one’s sense of feeling connected to nature and presumably make more sustainable choices. The study also explores the situational factors that might pose barriers, despite an individual's preference for a sustainable lifestyle.

In total, 54 faculty members from six Higher Education Institutions in Bangladesh were interviewed based on a semi-structured questionnaire on the barriers to a sustainable lifestyle in Dhaka city, while their personality traits were assessed using the Interpersonal Reactivity Index, the Big Five Factors and the Connectedness to Nature Scale through a survey.

The results state that Empathic Concern and Fantasy, as dimensions of empathy, have strong positive correlations with feeling connected to nature. The physical, social and psychological challenges also cause fewer people to lead a sustainable lifestyle, despite feeling highly connected to nature.

Sustainability efforts need to be context-specific due to localized challenges the people face. While educators play a key role in mainstreaming sustainability, generalizing the findings of the study to the wider population is limited. Further investigation to explore demographic and socioeconomic factors will provide key insights to the determinants of sustainable behavior.

The findings highlight that educational institutions can play a key role in the development of empathy and sustainability education, while addressing the need for good governance and policies in mainstreaming sustainability for attaining the Sustainable Development Goals Agenda 2030.

Few studies have been conducted to understand sustainable behavior in Bangladesh and identify effective methods to promote sustainability. This study provides insights to sustainable behavior in the context of a least-developed country. Additionally, it will support educational institutions to work toward sustainable development by enabling empathic skills development in curricula, leading to more concrete sustainability efforts.

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.

As social media has become an ingrained aspect of our lives—including our political relationships with other citizens and the state—various governments have warned public servants that being politically active online might threaten the reputed impartiality of themselves and the public service. This study examines whether public servants are less likely to be politically active on social media than other citizens, and seeks to understand public servants’ varying disposition to be politically active online by investigating the role of employees’ underlying Big 5 personality traits.

Multivariate regression, along with marginal effects and predicted probabilities, are used to investigate public servants’ online political activity with survey data from Canada, a country where impartiality is a core public service value, and where governments, public service commissions and even public sector unions have voiced cautious messages about the threat online political activity presents to the reputed impartiality of public servants, and the public service at large.

Analysis of the direct effects of being a public servant and each Big 5 personality trait finds that being a public servant significantly, and substantively, reduces the probability of engaging in online political activity, meanwhile, Extraversion and Conscientiousness have consistent, significant and substantive relationships with being politically active online. Subsequent analysis investigating the dynamic between the Big 5 and being a public servant, uncovers a more complex story. Among public servants, Openness and Neuroticism, rather than Extraversion and Conscientiousness, are associated with significant and substantive changes in the probability of engaging in some online politically activities. This is consistent with research investigating the relationship between the Big 5 and risk aversion, given that public servants in Canada work in an environment with a highly cautious discourse portraying social media as a serious risk to impartiality.

The findings also speak to best practices for public service human resource managers by shedding light how public servants’ behavior can be better understood and managed by paying attention to their underlying personality traits.

This study moves beyond analyzing trends between public and private sector employees, to instead examine public servants’ online political activity. This study offers theoretical and empirical insight into how public servants’ disposition to be politically active online is, in part, influenced by their underlying Big 5 personality traits, specifically, Neuroticism and Openness.

This study aims to examine the complex relationship between the personality meta-traits of stability and plasticity and time-based work–family conflict (WFC). Stability and plasticity are hypothesized to influence WFC directly and indirectly, via boundary strength at work (BSW) and boundary strength at home (BSH) domains. WFC has two dimensions – conflict due to family interfering in work (FIW) and conflict due to work interfering in family (WIF).

Data was collected from 419 full-time employees in multiple US companies. Hypotheses were tested using structural equation modeling.

Stability was associated with lower levels of WFC and stronger boundaries around the work and home domains. BSW mediated the relationship between stability and FIW; BSH mediated the relationship between stability and WIF. plasticity was associated with weaker boundaries around the work and home domains. BSW and BSH had a negative relationship with FIW and WIF, respectively.

The study is cross-sectional and limited to time-based work–family conflict. The results support the adoption of a more agentic view of personality in the boundary setting and WFC literatures.

Employers need to design flexible work programs that offer employees control over work–home boundary strength.

The study links stability and plasticity to WFC. It expands the nomological network of work–home boundaries.