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The purpose of this study was to understand knowledge-sharing behavior of nonacademic staff. In relation to the theory of reasoned action (TRA), the study investigated demographic characteristic differences in attitude, subjective norms, behavioral intention and knowledge-sharing behavior of nonacademic staff from India and the United Arab Emirates (UAE).

The study used a survey method and questionnaire instrument to collect data from 467 participants. The participants were nonacademic staff working for two academic universities in India and the UAE. The two universities were Pondicherry University (266 respondents) and Al Ain University (201 respondents). The collected data were treated and analyzed using Microsoft Excel and SPSS software for statistical analyses and frequency distributions.

The findings of the study showed that nonacademic staff from India and the UAE have a positive attitude toward knowledge-sharing, subjective norms and positive behavioral intention and are frequently involved in knowledge-sharing behavior. In addition, the study’s findings indicated statistically significant demographic differences in attitude, subjective norms and behavior intense knowledge-sharing behavior of nonacademic staff from India and the UAE. Nonacademic participants from India expressed a higher positive attitude toward knowledge-sharing and demonstrated more involvement in knowledge-sharing behavior than the respondents from the UAE. The findings of the study accepted 8 out of 20 stated hypotheses. The accepted hypotheses support the TRA theory and suggest the impact of age, job position, tenure of work and geographical diversity on attitude, subjective norms, behavioral intention and knowledge-sharing behavior. The study’s results suggested that nonacademic staff of 50 and above age groups are more likely to share knowledge than the nonacademic staff of 49 and fewer age groups. Likewise, the findings of the study suggested that nonacademic staff with a long tenure of work experience are more likely to share their knowledge with their coworkers than those with a short tenure of work experience.

Studies targeting knowledge sharing among nonacademic staff are scarce as compared to academic staff and students. Nonacademic staff are different from students and academic staff in attitudes and behavior. This study contributes to the expansion of knowledge sharing through the investigation of knowledge-sharing behavior of nonacademic staff. Moreover, the study expands the understanding of knowledge-sharing behavior through the use of demographic characteristics in relation to the TRA theory. In addition, most of the previous studies are based on data collected from one country, and this study is based on data collected from two countries.

Social engineering is crucial in today’s digital landscape. As technology advances, malicious individuals exploit human judgment and trust. This study explores how age, education and occupation affect individuals’ awareness, skills and perceptions of social engineering.

A quantitative research approach was used to survey a diverse demographic of Egyptian society. The survey was conducted in February 2023, and the participants were sourced from various Egyptian social media pages covering different topics. The collected data was analyzed using descriptive and inferential statistics, including independent samples t-test and ANOVA, to compare awareness and skills across different groups.

The study revealed that younger individuals and those with higher education tend to research social engineering more frequently. Males display a higher level of awareness but score lower in terms of social and psychological consequences as well as types of attacks when compared to females. The type of attack cannot be predicted based on age. Higher education is linked to greater awareness and ability to defend against attacks. Different occupations have varying levels of awareness, skills, and psychosocial consequences. The study emphasizes the importance of increasing awareness, education and implementing cybersecurity measures.

This study’s originality lies in its focus on diverse Egyptian demographics, innovative recruitment via social media, comprehensive exploration of variables, statistical rigor, practical insights for cybersecurity education and diversity in educational and occupational backgrounds.

This study aims to explore differences in the usability of the Google Drive application based on demographic characteristics, computer skills and use frequency of Google Drive among public library users of Lahore.

The study adopted a quantitative approach and survey-based research method to achieve the study's objectives. The cloud usability model (user perspective) has been used as a theoretical lens to guide the study objectives. It comprises five dimensions of usability – capable, personal, reliable, valuable and secure.

The findings of the study revealed that the usability of Google Drive varied statistically significantly on the basis of depending on the respondents gender, age, academic qualification, computer skills and Google Drive use frequency.

It is a valuable study since it and adds knowledge to existing literature and has implications for practice.

The findings might be helpful for cloud support teams including Google Drive as they can notice the demographic and other differences among users' perceived usability of Google Drive and can enhance certain features of usability which leads attributes to increase its usage among users.

The study examined the personal information management (PIM) challenges encountered by faculty in six universities in Ghana, their information refinding experiences and the perceived role of memory. The study tested the hypothesis that faculty PIM performance will significantly differ when the differences in the influence of personal factors (age, gender and rank) on their memory are considered.

The study was guided by a sample survey design. A questionnaire designed based on themes extracted from earlier interviews was used to collect quantitative data from 235 faculty members from six universities in Ghana. Data analysis was undertaken with a discrete multivariate Generalized Linear Model to investigate how memory intermediates in the relationship between age, gender and rank, and, refinding of stored information.

The paper identified two subfunctions of refinding (Refinding 1 and Refinding 2) associated with self-confidence in information re-finding, and, memory (Memory 1 and Memory 2), associated with the use of complimentary frames to locate previously found and stored information. There were no significant multivariate effects for gender as a stand-alone variable. Males who were aged less than 39 could refind stored information irrespective of the memory class. Older faculty aged 40–49 who possess Memory 1 and senior lecturers who possess Memory 2 performed well in refinding information. There was a statistically significant effect of age and memory; and rank and memory.

This study was limited to faculty in Ghana, whereas the study itself has implications for demographic differences in PIM.

Identifying how memory mediates the role of personal factors in faculty refinding of stored information will be necessary for the efforts to understand and design systems and technologies for enhancing faculty capacity to find/refind stored information.

Understanding how human memory can be augmented by technology is a great PIM strategy, but understanding how human memory and personal factors interplay to affect PIM is more important.

PIM of faculty has been extensively examined in the literature, and limitations of memory has always been identified as a constraint. Human memory has been augmented with technology, although the outcome has been very minimal. This study shows that in addition to technology augmentation, personal factors interplay with human memory to affect PIM. Discrete multivariate Generalized Linear Model applied in this study is an innovative way of addressing the challenges of assimilating statistical methodologies in psychosocial disciplines.

Research on technology acceptance of online entertainment with age, gender and cultural factors as moderator, is rarely conducted. Previous research predominantly focused on age or gender as moderator, neglecting the influence of cultural factors. Therefore, this study aims to investigate acceptance of online entertainment technology, incorporating age, gender and cultural factors as moderator.

Data were collected through a survey comprising 1,121 individuals aged 14–24 years from three cities in Indonesia. The proposed theoretical model examined the causal effect of acceptance and moderating effects due to individual gender, age, power distance, individualism, feminism and uncertainty avoidance (AU). Subsequently, structural equation modeling was used to evaluate the theoretical model, and the results confirmed several findings from previous research.

The findings confirmed the positive direct impact of habit and price value (PV) on behavioral intention and hedonic motivation, as well as social influence on habit. The recent findings derived from the moderating effect analysis showed that age, individualism and feminism played a moderating role in the effects on individual intention due to habit. Additionally, gender and AU moderated the effects on individual habits due to hedonic motivation.

This research contributes to the limited knowledge of technology acceptance of online entertainment, and also integrates the causal effects of individual intention due to habit, PV, hedonic motivation and social influence, considering the moderating role of culture, age and gender. Consequently, the investigation provides valuable insights into the literature by presenting evidence of age, gender and cultural differences in acceptance. Furthermore, it offers practical guidance to online entertainment application developers on designing applications to satisfy consumers of different ages, genders and cultures.

This study aims to investigate the relationships between the perceived neighborhood walkable environment (PNWE), neighborhood interaction (NI) and residents’ mental health, with a focus on examining differences among residents of different age groups.

Using an electronic survey questionnaire, data on PNWE, NI and mental health were collected from 1,159 residents across 205 communities in Shanghai, China. Our study utilized a structural equation modeling (SEM), employing the maximum likelihood estimation method. The structural equation model was fitted using the MPLUS software.

The mental health of young and middle-aged adults is generally poor, and they are at higher risk of depression than children and older adults. The effects of PNWE and NI on the mental health of residents varied among different age groups. As residents get older, their mental health is more affected by the PNWE. In addition, the influence of the PNWE on children and older adults’ mental health is direct and not mediated by NI. For young and middle-aged adults, the influence of the PNWE on their mental health needs to be mediated by NI.

This study marks the first examination of the relationship between PNWE, NI and mental health among different age groups of residents in China. The findings of this research can assist policymakers in gaining a deeper understanding of the underlying mechanisms by which PNWE affects mental health. Furthermore, it can contribute to the development of more targeted walkable environment designs aimed at enhancing mental health among various age groups.

This study investigate urban migrant dwellers’ gender and age differences in response to the specific phobia of COVID-19 and hesitancy toward vaccines in the slum settlements.

The study anchored on the two-factor model proposed by Mowrer (1939) and used a quantitative design approach with a convenience sampling method for data gathering among 362 urban migrants residing and working in the cities of Ghana. The study used the Mann–Whitney U test and the regression analysis for the analysis.

The result showed that there is a significant difference between males and females in their understanding of economic phobia, thoughts on social phobia and perception level of vaccine hesitancy. Additionally, there is a significant difference between age groups in their level of thoughts of psychological phobia, economic phobia and thoughts of vaccine hesitancy. Finally, the specific of phobias of COVID-19 are significant predictors of vaccine hesitancy.

This research is slum-specific, which implies that the outcome cannot be generalized to other geographical settings.

The study demonstrates how a pandemic manifests itself to dwellers in slums. The outcome of the study sheds light on how policymakers appreciate the dynamics of the pandemic in a developing country, which may guide future responses to pandemics.

The outcome of the study sheds light on how policymakers appreciate the dynamics of the pandemic in a developing country, which may guide future responses to pandemics.

The social exchange theory (SET) and the principle of reciprocity advocate the give and take relationship between counterparts. Perceived justice and fairness engage employees in pro-organizational behavior, while perceived injustice or biases invoke anti-organizational behavior. On similar grounds, the current research aims to find the relationship between employee perception regarding “hiring and retention of diverse employees (HRDE),” “affective commitment,” and “counterproductive work behavior (CWB).” Furthermore, assessing differences in the perception of age diversity concerning studied variables.

The data for the current study were collected from various private organizations in India with a sample size (n = 457). The data were further analyzed using factor analysis, regression analysis and analysis of variance.

Unlike previous research, the findings suggested a positive effect of the variable “hiring and retention of the diverse workforce” on both “affective commitment” and “CWB.” Interestingly, “affective commitment” also indicated a positive relationship with CWB. Further, various age groups showed differences in the perception of “affective commitment” and not “HRDE” and “CWB”.

The findings of the study not only focus on the brighter side of becoming a more diverse workplace (i.e. higher affective commitment) but also highlights the side effects (i.e. CWB) aiding management to be mindful for effective, sustainable management and creation of psychological safe work environment for all.

This study aims to investigate the impact and mechanism of new energy vehicle (NEV) information sources (IS) on mass consumers' purchase intentions (PIs) in China.

Around 902 valid questionnaires were collected using the questionnaire to analyze the different effects of three types of IS (official, interpersonal and commercial) on mass consumers' PIs. Besides, this study investigates the mechanisms by examining the mediating effect of perceived risk (PR) and the moderating effect of individual differences like age and education level.

The three types of NEV IS stimulate the PI of mass consumers, but there are some differences, with interpersonal information sources (IISs) having the strongest contribution, followed by official information sources (OISs) and commercial information sources (CISs) the least. Meanwhile, PR plays a mediating role in the effect of NEV IS on mass consumers' PIs, and age and education level moderate the influence paths. Specifically, the moderating effect of age mainly works on the negative impact of PR on PI, while education level moderates the influence of IS on PR.

This study contributes to filling the gaps in the current understanding of the role played by NEV IS in shaping consumer preferences and choices. It provides valuable insights for automotive manufacturers, policymakers and marketers to tailor their marketing strategies and improve information dissemination to effectively promote NEV adoption among mass consumers.

The study's objective is to estimate the association of specific perceived employer-provided benefits on employees' intention to leave in different age cohorts during coronavirus disease 2019 (COVID-19). Informed by the psychological theories of ageing, the authors propose three age-cohort-specific hypotheses in three motivational domains: security and health benefits, flexible work arrangement and education-related benefits.

The authors use a large survey of employees in Estonia (n = 7,209) conducted in 2020 and test the association of specific benefits and their interactions with age on employees' intention to leave.

The results show that older cohorts are generally less prone to leave their jobs. Benefits that employers could use during the COVID-19 crisis generally had negative associations with the intention to leave, but age-specific differences were negligible; only the perceived provision of flexible work arrangements reduced the younger cohort's intention to leave relatively more.

This study is one of the few that allows us to make inferences regarding the benefits preferences amongst the working population during an unprecedented health crisis.