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Despite the ability of podcasts to bring free quality content to the masses, studies found that podcast consumption have been identified mostly with the elite class, thus increasing knowledge gaps and digital divides. This study aims to examine whether this trend extends to non-elitist podcast genres by providing the first analysis of sport podcast demographics and uses and gratifications.

A survey was conducted among Israel’s three most popular sport podcast listeners (N = 503), examining the listeners’ demographics, consumption patterns and uses and gratifications driving them to listen to the podcast.

The analysis reveals that most listeners are secular millennials males with above average income, highlighting the elitist nature of sport podcast consumers. The analysis further revealed that information-rich groups were more likely to tune in for information acquisition whereas other groups used it more for entertainment and escapist purposes.

For policy makers and educators who wish to promote podcast-based initiatives to narrow social gaps, the analysis strengthens the notion that the podcast platform mostly attracts those who are already information rich and thus increase knowledge gaps and digital divides. For sport broadcasters, the analysis illuminates sport podcasts audiences’ demographics and their uses of the platform.

The study reflects that the podcast platform is identified with elitist listening even in non-elitist genres; thus it further increases the already wide knowledge gap and digital divides promoted by the advent of the podcast platform.

The study is the first to highlight the elitist nature of sport podcast listeners’ demographics, indicating that the podcast platform increases the knowledge gap also even across non-elitist content genres such as sport content.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2021-0684

The purpose of this present study is to analyze the role of consumers' social-psychological attributes, fiscal incentives and socio-demographics in the adoption intention and the willingness to pay more for electric vehicles (EVs).

A cognitive linkage model of “beliefs-intention-willingness” is analyzed using valid responses obtained from Indian consumers. The model is statistically tested at three levels: direct path effect of social-psychological attributes with financial incentives (subjective norm, personal norm, affective attitude, perceived knowledge) on adoption intention and willingness to pay, followed by the mediation of intention and the moderation of socio-demographics.

The findings reveal that the adoption intention and the willingness to pay are directly driven by all analyzed factors except financial incentives, which is not significantly associated with willingness to pay. Moreover, the adoption intention partially mediated the relation between all socio-psychological measures and willingness to pay, whereas full mediation of incentives is supported. Furthermore, the moderating effect of socio-demographics (gender, education, income) supports the integrated research model.

The generalizability of findings may be warranted due to the limited sample territory and the sample's youth. However, young people, or millennials, are more receptive to new technologies such as electric or carbon-free automobiles. The research advocates marketers and manufacturers to craft policy interventions and strategies to upsurge the EV demands in the backdrop of emerging markets.

This timely study adds to the extant literature on green and clean technology automobile adoption by exemplifying the relationship between socio-psychological beliefs, intention and willingness to pay at three dimensions of contextual factors. The current study endeavors to endorse the “beliefs-intention-willingness” cognitive linkage framework in the context of Indian green transportation.

The purpose of this study was to better understand the state of the healthcare facility management (FM) workforce and trends and how it compares to the nonhealthcare industries.

A survey was developed, based on relevant literature, regarding respondents’ gender, race, age, educational attainment and job tenure. The survey was sent electronically via Qualtrics^® system in February 2021 to members of the International Facility Management Association membership; 3,557 individuals completed the survey by April 2021, for a 29% response rate. Only data from 1,407 US respondents working in facility operations were included in this study. Of the 1,407 respondents included in this study, 89 worked in the healthcare industry. The majority of respondents not working in healthcare industry (1,318) were employed in government, education or banking and investment.

The demographics of facility managers in the healthcare industry are similar to the demographics of facility managers in other industries: the majority of the FM workforce is male, middle-aged, white, college educated and employed in-house. While healthcare and nonhealthcare facility managers have similar responsibilities across job levels, compensation for entry-level FM roles in the healthcare industry is significantly lower than for entry-level FM roles in other industries. This low pay in healthcare FM, compared to other industries, may exacerbate ongoing challenges related to talent recruitment and retention and justify pay banding increases to improve attraction of top talent into healthcare FM. Both healthcare and nonhealthcare industries hire new college graduates for entry-level FM jobs, but the healthcare industry is more likely to hire individuals who majored in liberal arts compared to other industries more likely to hire individuals who majored in subjects related to the built environment such as FM and engineering. To compensate for low entry-level pay, healthcare organizations may be focusing recruitment efforts on liberal arts students who have little to no training in the built environment because they have lower pay expectations. Older healthcare facility professionals also have shorter job tenures with their current employers than do older facility professionals in other industries; this trend appears to be recent and not be related to pay or the COVID-19 pandemic. A surge of senior-level FM retirements may be creating advancement opportunities for older entry- and mid-level FM personnel in healthcare; if this situation is a factor, research should be conducted to understand its implications for recruiting and developing healthcare FM talent.

Only data from US respondents who were working in healthcare facility operations at the time of the study were included in the data analysis.

Healthcare organizations can use the study’s findings to help address FM workforce challenges unique to their industry staff recruitment, retention and succession planning.

This study aims to investigate whether chief executive officer (CEO) demographics are associated with gender diversity in senior management in the Scandinavia region.

The research design draws on multivariate cross-sectional analysis. The demographic characteristics examined are gender, age and education. A total of six hypotheses are developed and tested. The sample includes the largest 106 public firms from Denmark, Finland, Norway and Sweden.

Results show that firms with female CEOs have more women in senior management than other firms. However, neither age nor level of formal education of CEOs shows significant results, with the exception of CEOs holding MBA degrees, who are associated with fewer women in these positions. Interestingly, the association between educational background and gender diversity is principally driven by study-abroad experiences. Finally, results show that gender diversity in senior management has an important country component, whereas the industry component is negligible.

The relationship between managers’ demographics and gender diversity among subordinates is a relatively unexplored research issue, as previous works have focused on general comparisons between male and female managers. Furthermore, the Scandinavian context is particularly interesting as this region leads gender equality rankings.

India is an emerging economy and one of the preferred investment destinations for environmental, social and governance (ESG) fund issuers. Institutional investors invest retail investors’ money, and hence, it becomes imperative for ESG fund managers to understand the social investment preferences of retail investors. This study aims to compare the Indian socially responsible (SR) investors and conventional investors in terms of their socially responsible investment (SRI) awareness level, opinions about broad and specific ESG issues, investment behavior and demographics. In addition, this paper makes an attempt to have a deeper insight into Indian investors’ behavior toward SRI by segmenting the Indian retail investors based on their SRI awareness level, attitude toward ESG issues and intention to accept lower financial returns, and choices made by them as consumers.

After collecting the data through the survey method an independent t-test is used to compare SR investors with conventional investors. Chi-square has been used to analyze the data related to demographics, and cluster analysis is used to identify segments among Indian retail investors.

The results indicated that Indian SR investors’ SRI awareness level is more, they are more concerned about broad and specific ESG issues, they are more into faith-based investing, and are responsible consumers vis-à-vis conventional investors. As per demographic, SR investors are in the middle age group of 30–40 years, male, hold a postgraduate degree and have an annual income of 10–20 lakhs in comparison to conventional investors. The results of cluster analysis indicated that Indian retail investors can be classified into three groups based on their SRI awareness, intention to sacrifice financial return, attitude toward ESG issues and choices made by them as consumers.

Results have implications for national and international fund managers, policymakers, regulators and society. These results will help mutual fund companies to provide curated SR mutual funds as per the behavior and choice of retail investors and penetrate the Indian investment market more deeply.

This research study contributes to the literature on SRI by identifying the differentiating characteristics of Indian SR and conventional investors and segmenting Indian retail investors on the basis of their SRI awareness, the importance of ESG issues and choices made by them as investors and consumers.

Mobile health (mHealth) service is an Australian Government initiative aiming to improve the quality of health-care services. However, little is known about Australian health consumers’ willingness to adopt mHealth. The purpose of this paper is to study the usage behavior of mHealth service users in Australia. While various factors may impact users’ willingness to accept mHealth, this research investigates factors influencing the mHealth adoption decisions of the Australian health-care consumers, and the moderating impact of demographic factors on the usage behavior (UB) of mHealth services which has been rarely addressed in an Australian setting in the past.

The theoretical framework is based on the technology acceptance model (TAM). Data were collected from residents of the Australian Capital Territory using a survey questionnaire and examined using partial least squares structural equation modeling.

The proposed mHealth usage model demonstrated a good fit and indicated that perceived usefulness, perceived ease of use, social influence, service quality and government influence are critical issues shaping mHealth UB. The moderation analysis revealed that users’ demographics, namely, gender, age and education are instrumental in broadening the understanding of UB of mHealth service in Australia.

The findings will inform health-care service providers about the critical importance of the key factors driving the usage of mHealth services. Health-care providers and relevant authorities can develop targeted communication strategies that maximize the acceptance of mHealth services. Furthermore, deeper understanding of users’ demographic profiles would enable health-care service providers to promote their services to the right clients.

The above findings on the factors and user demographics informing the usage of mHealth services have unique practical, contextual and theoretical implications.

This paper aims to study the Zabdah housing project residents’ satisfaction on both dwelling and neighborhood levels. In addition, the determinants of residents’ satisfaction are studied.

A mixed methodology approach was used, merging quantitative and qualitative methods. The questionnaire was developed and filled out through structured interviews. Descriptive statistics and multiple linear regression were used to understand the residents’ satisfaction levels. In addition, the chi-square test of independence was used to determine whether demographics and dwelling type were related to residents’ satisfaction.

It was found that the residents’ satisfaction level with Zabdah housing was moderate on both dwelling and neighborhood levels. On the dwelling level, the tiny dwelling areas were a fundamental problem. On the neighborhood level, good neighborhood services were crucial to the success of this project, while the lack of green spaces negatively affected the quality of life of its residents. In addition, the number of family members and dwelling types were critical determinants of residents’ satisfaction.

The findings can be developed into guidelines to govern the creation of better affordable residential environments. Furthermore, the successful dwelling typologies in this project can be modified to be adopted in the future.

To the best of the authors’ knowledge, this is the first study of its kind to explore the relationship of demographics and dwelling type with residents’ satisfaction in affordable housing in Jordan.

Lockdowns and the forced closure of certain industries during the COVID-19 pandemic severely impacted workers, particularly entrepreneurs, who were financially and emotionally involved in their businesses. Two studies have shown that entrepreneurs have a lower willingness to get vaccinated against COVID-19 than employees. In this study, the authors try to replicate the vaccination gap between the two groups. Second, the authors study whether the difference persists when controlling for demographics, vaccination attitudes and the COVID-19 context, including the financial impact of the pandemic, its effect on the wellbeing of workers, and government attitudes. Third, the authors study whether there are differences in how the context of the pandemic relates to vaccination willingness for entrepreneurs and employees.

The authors conduct regression analyses using three large datasets. The authors study vaccination status (February 2022) in a 27-country Eurobarometer sample, vaccination intention (December 2020) in a Dutch sample from the LISS panel and vaccination status (July 2021) in a sample from the Understanding America Study (UAS).

All datasets confirm that entrepreneurs have lower vaccination intention and coverage than employees. Even when controlling for the variables described in the LISS and UAS datasets, this negative difference remains. The study results also indicate that demographics, especially vaccination attitudes, are much more important than contextual influences in the decision to get vaccinated against COVID-19.

The authors are the first to dive further into the vaccination differences between entrepreneurs and employees. They advise further research into the drivers of this gap, specifically relating to the role of personality and social normative influences.

The purpose of this paper is to understand the market for various e-learning platforms existing globally. The global pandemic transformed the traditional education sector into an e-learning industry and impacted the digital education sector proportionally. The wide impact on people to maintain a social distance shortened the space and enhanced student engagement with digital screens. The merchandise of electronic gadgets and e-learning platforms boosted global revenues ever before.

A digital data analytical tool retrieved the data for e-learning companies. While screening companies, the authors came up with more than 150 and later narrowed it to 71. Furthermore, revenues and market capitalisation data were collected from open-source websites of respective e-learning platforms at national and international stock exchanges. The data from the year 2018 to 2021 was used to predict the compound annual growth rate (CAGR) of the 2022–2027 market value of e-learning companies. The demographics of the statistical data were plotted using GraphPad Prism and Python Plotly. Also, the study attempted to underpin the association of annual revenue with market capitalisation for e-learning companies using Statistical Package for the Social Sciences (SPSS).

The financials of the e-learning platforms were compared from 2018 to 2021 based on the stock market exchange, which showed a gradual increase in revenues and influenced the market capitalisation by the 2022 financial year. Also, simultaneously validating the CAGR of 13.16%, the expected revenues from 2022 to 2027 were $830bn. The data plotted on the atlas choropleth exhibiting the e-learning users increased globally by 2022. The Web traffic data validated by the browsing gadget helped to validate the increase in revenues of the electronic gadget companies.

To the best of the authors’ knowledge, this is one of the pioneer studies postulating the study of e-learning demographics comparing the e-learning influence on the global digital market, Web user traffic and the education sector. The demographics of e-learning users by age, gender and gadget distribution validate the e-learning induction globally.