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The crypto market is growing quickly, marked by a lack of fundamentals, and the risks are not yet fully comprehended by participants. Our goal is to investigate overconfidence in this market and analyze the role that risk propensity and certain demographics play.

We conducted a survey in Brazil and Portugal, leveraging an online questionnaire disseminated via social media channels to engage a diverse adult population. We collected a total of 826 responses, addressing ethical considerations throughout the process. The data analysis was conducted using SPSS statistical software and logit regression modeling.

Our study reveals that overconfidence is a notable bias that distinguishes individuals who invest in cryptocurrencies from those who do not. Although overconfidence and risk propensity are closely linked, they originate from distinct personal characteristics. Furthermore, our findings indicate that age and market experience positively correlate with overconfidence and negatively correlate with risk propensity. Financial knowledge, interestingly, did not prove to be a significant factor for cryptocurrency investment.

Our research augments the existing literature on overconfidence, delving into this phenomenon in a new subdomain, and in doing so, it enriches our comprehension of the unique and still relatively under-researched cryptomarket. Moreover, we illuminate individual factors that sway the decision to invest in cryptocurrencies and should be considered by market participants.

• (1)

  Pioneering work examining the presence of overconfidence bias among crypto-investors, using a robust data set collected from a binational survey.

• (2)

  Verifies the relations among overconfidence, risk propensity, and demographics.

• (3)

  Examines the influence of age and experience on investment decisions, revealing a positive relationship with overconfidence and a negative correlation with risk propensity.

• (4)

  Logistic regression is used to determine the combined effect of overconfidence, risk propensity, and demographics on the decision to invest in cryptocurrencies.

Pioneering work examining the presence of overconfidence bias among crypto-investors, using a robust data set collected from a binational survey.

Verifies the relations among overconfidence, risk propensity, and demographics.

Examines the influence of age and experience on investment decisions, revealing a positive relationship with overconfidence and a negative correlation with risk propensity.

Logistic regression is used to determine the combined effect of overconfidence, risk propensity, and demographics on the decision to invest in cryptocurrencies.

This study aims to examine the effects of perceived product–brand fit and brand type on consumer evaluations of wearable smart masks’ technological, aesthetic and social attributes and how these affect consumers’ attitudes and intentions to use.

Through an experimental approach, a total of 240 US consumers’ evaluations of smart masks are compared according to perceived product–brand fit (high vs low) and brand type (electronics vs fashion).

The results showed that high perceived product–brand fit increases consumers’ evaluations, while brand type did not significantly affect consumers’ evaluations. Among various attributes, social acceptability had the greatest influence on consumers’ attitude and intention to use. Perceived ease of use, however, positively influenced attitude but negatively influenced intention to use.

As consumers’ interest in smart health-care wearables increases and air pollution is a serious issue across countries, research on wearable smart masks is being facilitated. Smart masks refer to the digitalized, reusable wearable masks that provide protection and health-care functions. However, their market penetration is still limited. To close this gap between smart mask technology and the market, this study examines how perceived fit and brand type can be used to enhance consumer evaluations.

This study proposes a conceptual framework for strategically integrating societal marketing (SM) into corporate identity to effectively represent a firm’s SM programs to stakeholders. The framework is crucial for firms to align their SM efforts with their identity in a manner that minimizes, if not eliminating, the accusations of dishonesty, such as greenwashing, brownwashing, or greenhushing.

Drawing on corporate identity theory and synthesizing the literature on SM, the study identifies three levels of corporate identity (strategic, operational, and functional) and three dimensions of SM’s alignment with business objectives (direct, indirect, and remote). Subsequently, the study develops a conceptual framework based on an interaction between corporate identity levels (strategic, operational, and functional) and dimensions of SM’s alignment with business objectives (direct, indirect, and remote) to identify strategic windows to represent SM to stakeholders.

The study identifies nine strategic windows at the strategic, operational, and functional levels of corporate identity to represent a firm’s SM programs to stakeholders. At the strategic level, CSR, corporate citizenship, and sustainability programs may be utilized to represent SM programs to stakeholders when SM respectively aligns with business objectives remotely, indirectly, and directly. At the operational level, environmental safety, stakeholder marketing, and business/marketing ethics programs serve this role. At the functional level, philanthropy, cause-related marketing, and green marketing are identified to represent SM to stakeholders, depending on the respective alignment of SM with business objectives remotely, indirectly, and directly.

The study implies that firms can minimize corporate misrepresentation of SM programs, especially when diverse stakeholder expectations demand varied representation of SM across levels of corporate identity. Additionally, firms can mitigate stakeholder confusion and misinterpretation by highlighting the differing degrees of alignment between SM and their economic goals when competing firms promote SM programs in the same context.

The study implies that firms can selectively prioritize different SM programs at different contexts depending on how stakeholders’ expectations are satisfied by the interaction between levels of corporate identity and dimensions of SM.

This paper advances corporate marketing research on corporate identity by proposing strategic windows to integrate SM into corporate identity for effective representation of SM programs to stakeholders.

This study aims to examine the effect of Muslim consumers’ religiosity on their brand verdict regarding clothing brands, through the mediating role of decision-making style, brand status and brand attitude.

Structural equation modeling was used to analyze the data collected from 200 clothing buyers in Mashhad, one of Iran’s religious cities.

The results indicate that intrapersonal religiosity, compared to interpersonal religiosity, has a more significant effect on Muslim consumers’ decision-making styles, and different decision-making styles of Muslim consumers affect their brand verdict through brand status and brand attitude.

The research sample consists solely of respondents from the Islamic religion. Therefore, the impact of religiosity might differ among individuals from other religions, such as Christianity and Judaism.

This study’s findings are crucial for clothing brands, both national and international, that cater to the Muslim customers’ market. They need to consider the degree of religiosity when segmenting and targeting their market. This study shows that clothing brand marketers can best influence the brand verdict of Muslim consumers by targeting those with a brand-loyal decision-making style, focusing on their religious beliefs.

To achieve success in Iran’s Muslim market, marketers must consider their consumers’ religious beliefs and tailor their marketing plans accordingly. This study aims to investigate the impact of religiosity on consumer behavior toward brands in Iran’s Muslim market.

The purpose of this paper is to introduce a new conceptual framework that integrates customer experience and sustainability across social, environmental and economic dimensions to facilitate sustainable development.

Sustainability is widely recognized from an industrial perspective; however, the relationship between customer experience and sustainability has been limitedly explored in the existing literature. An ethnographic study of two international retail chains has been undertaken, using illustrative case studies to assess the companies’ sustainability practices across social, environmental and economic dimensions.

This research emphasizes the importance of enhancing customer experiences to align sustainable practices with consumer expectations. The findings of this study indicate that social sustainability should be prioritized in consumer lives by maintaining high-quality living standards, while environmental sustainability should focus on creating experiences that encourage sustainable lifestyle choices. Economic sustainability should be operationalized by concentrating on mutually beneficial performance areas. Overall, companies must adopt a holistic approach that integrates the social, environmental and economic dimensions into sustainability practices to drive positive customer experiences.

This study examines the sustainability performance of retail companies across social, environmental and economic dimensions. This study introduces a novel approach to sustainable development through the customer experience perspective.

This study aims to explore the effects of expertise diversity on project efficiency and creativity in health-care project teams.

This study analyzes hierarchical linear models using multi-source data from 50 project teams in a large health-care organization in the USA. This data set includes self-reported survey responses from 274 team members and human resource information for all 515 members across the 50 teams. Expertise diversity is operationalized by professional diversity and positional diversity reflecting two dimensions, domain and level, of the concept of expertise.

This study reveals that professional diversity is negatively related to project efficiency and project creativity, whereas positional diversity is positively related to project efficiency.

Successfully managing a project team of experts within a limited time frame is a challenge for organizations. This study advances the understanding of the double-edged sword effect of expertise diversity on project teams, focusing on professional and positional diversity. It provides important insights for human resource development in terms of the composition of project teams regarding members’ expertise.

This study aims to explore the intersection of AI-generated learning materials and active learning strategies in higher education artificial intelligence (AI) is bringing about changes and opening up new possibilities for an improved and more efficient higher education. However, the argument is that its use in education/classroom should be informed by verifiable evidence as well as best practice, which this scholarly work helps build evidence-based research to assess this technology in higher education.

Primary data was collected through structured questionnaire administered online via Google form. Based on the non-probability sampling technique, 300 higher education tutors and students across the UK were purposively targeted, out of which 218 (72.7%) response rate was achieved. Data was analyzed using descriptive statistics with the aid of Statistical Package for Social Sciences, whereby regression, correlation and Chi-square tests were conducted to determine the statistical significance, direction and strength of the relationship between the measured variables.

This study revealed that AI-generated learning materials support active learning strategies that enable students to actively engage in their learning, likewise enabling students to develop deeper understanding of their course content with significantly better knowledge retention, which is critical to the learning process. However, findings further revealed that acceptance/regular use of AI-generated learning materials is still below par across the higher education institutions, and there is major concern that the benefits may not be fully realized due to barriers to adoption.

There are limitations that future studies can improve on, especially in terms of methodology. Pragmatism is a philosophical research stance that integrates quantitative data collection with qualitative data (such as interviews) and will ask in-depth questions to gain holistic quality data for such empirical. Future studies can also improve on the research scope to allow for generalizability of findings and check for potential biases in the data collection, analysis and interpretation processes.

Despite the huge anticipation regarding how AI technology could transform teachers’ roles in higher education, concrete research into AI-generated learning materials and actual impact in facilitating active learning strategies and knowledge retention is currently lacking. This study presents theoretical models on AI acceptance in higher education and explored the Technology, Pedagogical and Content Knowledge framework to inform empirical information on how AI can support active learning strategies and students’ knowledge retention.

Following the renewed interest to harness the full potential of African female employees in the workplace, this paper aims to explore how patriarchal behaviors relate to career adaptability, subjective career success and job satisfaction among women in Nigerian organizations.

A structured questionnaire was used in collecting quantitative data from 508 middle-level managers in Nigerian organizations. The hypotheses were tested with structural equation modeling.

Patriarchal-induced gendered work practices were found to have a significant negative influence on career adaptability among Nigerian career women. Contrary to expectations, patriarchal discrimination was found to have an insignificant negative influence on job satisfaction and subjective career success, suggesting that Nigerian career women still experience significant subjective career success and job satisfaction amid patriarchal practices in the workplace.

For female employees to possess significant career adaptability resources that will enable them to reconstruct their careers to match redesigned job functions in times of innovation in the workplace, organizations should reinvent their human resources (HR) policies that address patriarchal-induced gendered work practices in the workplace.

This current study extends research on how patriarchy affects female employees in African organizations from the traditional research focus of patriarchy and work-life balance relationships to the under-explored area of career experience among women. To the best of the authors’ knowledge, this is the first quantitative research that explores how patriarchy influences career adaptability resources, subjective career success and job satisfaction among Nigerian female employees.

We conducted a content analysis on nine historical fiction books representing Chinese history to examine character traits in relation to the historical events and genders.

We employed content analysis as the research approach to analyze the verbal texts and visual displays of the selected historical fiction.

Our findings revealed that (1) characters from the similar historical context shared certain common traits and (2) character traits were portrayed in gender-specific ways but were also influenced by familial, social and historical contexts. These findings illustrate the interconnectedness of historical contexts and gender in the development of character traits in historical fiction.

Our study extends the scope of content analysis of historical fiction by examining characters situated in social, cultural and historical contexts and providing a comprehensive understanding of gender portrayal in historical narratives.