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The COVID-19 pandemic has affected women in unique gender-specific ways, particularly their traditional status as home managers. This study aims to draw on the role theory to examine the impact of the COVID-19 pandemic on women's work–family balance during the lockdown.

The current COVID-19 pandemic, which has altered the ways in which we live and work, requires specific methodological tools to be understood. The authors, therefore, opted for an interpretive–constructivist and constructivist–phenomenologist approach. The dataset, thus, comprises of semi-structured interviews with 26 working women in the UK.

The findings illustrate how the COVID-19 lockdown has intensified British women's domestic workload and has, thus, caused unbridled role conflict, which has further been exacerbated by structural and interactional roles undertaken by women, especially during the lockdown. Remote working has contributed to women's role congestion and role conflict and poses severe challenges to role differentiation. Furthermore, we found that the lockdown has facilitated the rediscovery of family values and closeness, which is connected to the decline in juvenile delinquency and low crime rate that has resulted from the lockdown.

Through the lens of the role theory, this study concludes that the cohabitation of work and family duties within the domestic space undermines the ability to achieve work–family balance and role differentiation due to the occurrence of inter-role conflicts. This study enriches our understanding of the effect of remote working on female employees' work–family balance during the unprecedented COVID-19 pandemic lockdown.

This study aims to examine consumers’ perception of artificial intelligence (AI) and AI marketing communication.

Twenty in-depth interviews were conducted to collect data and phenomenological reduction was used to analyze data.

Findings suggest that consumers’ interpretation of AI is multidimensional and relational with a focus on functionality and emotion, as well as comparison and contrast between AI and human beings; consumers’ perception of voice-assisted AI centers on the aspects of function, communication, adaptation, relationship and privacy; consumers consider AI marketing communication to be unavoidable and generally acceptable; and consumers believe that AI marketing communication to be limited in its effect on influencing their evaluation of products/brands or shaping their consumptive behaviors.

According to the authors' knowledge, this study is the first research project to gauge consumers' perception on AI and AI marketing communication.

This paper aims to analyze the financial implications associated with Ugandan universities employing e-learning techniques and to suggest sound policy solutions to the problems the investigation found.

To illustrate how e-learning is used in Uganda, the study used a descriptive research design. The study used a quantitative methodology to highlight the various experiences associated with utilizing e-learning platforms from various universities. A questionnaire survey was distributed to university students, and the data were analyzed using descriptive statistics in order to understand the usage of e-learning and Persons correlation to understand the degree of the relationship between the study variables.

The study findings reveal that e-learning approaches in universities are favorably correlated with their financial implications (r = 0.598; p-value 0.05). It was excruciatingly difficult to access online learning resources and platforms, and there was a severe lack of power. Some academic staff members lacked adequate e-learning platform training, and students noted that e-learning eased communication between students and lecturers, whereas Internet subscription and acquisition of mobile devices were expensive.

The research was limited to three districts in western Uganda, and thus, it may not be possible to extrapolate the results to the entire nation.

Universities are open to these changes since the digital world is moving more quickly, overall, and this trend has crept into education as well. Policymakers and other universities may utilize the study's findings to inform their decisions.

The study offers useful insights into how e-learning systems have altered university teaching methods.