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This study aims to examine the construction of feminine beauty by onnagata kabuki actors in Japan’s history, with a focus on their narratives in modern advertorials about beauty products. The objective is to identify emerging themes in their narratives and to analyze the symbolism and rhetoric used to persuade the audience to enhance traditional feminine “beauty” by using the specific brand in the wake of Japan’s modernization and Westernization.

The study primarily employs semiotic analysis of advertorials in the newspaper and in the kabuki theatre’s program. They are supplemented with images from premodern prints. Visual content is described and analyzed as well.

The narration of the onnagata in the advertorial is the process of “truth-telling,” where the primary concern of the storyteller is persuasion about truth, such as belief in the new method of makeup with the advertised brand, and falsehood, such as belief in the old method of skincare. Four themes and binary oppositions of values emerged from the data: (1) Identity: selves vs others; (2) Material objects, cosmetics: scientific vs primitive; (3) Practice: competent vs incompetent, and (4) Transformations: intentional vs incidental.

The research shows that Japan’s onnagata transvestism tradition and its influences on women’s beauty practice have existed since the premodern period, preceding contemporary cross-gender beauty practices observed in social media.

This paper investigates the moderated mediation roles of dynamic capabilities and self-initiated AI learning between job crafting and entrepreneurial innovativeness among owner-managers of family craft businesses in Ghana.

A convenience sampling technique was used in the selection of 498 family craft business owner-managers in Ghana. The paper deployed regression analysis to examine the hypothesized paths.

Using hierarchical regression, job crafting was found to have a positive effect on entrepreneurs’ innovativeness. Further, dynamic capabilities moderate the mediated link between self-initiated AI learning and entrepreneurial innovativeness.

The current study assesses self-initiated learning for work adjustment from a cross-sectional design perspective. Though, this research design is effective in the assessment of opinions and attitudes of persons, it is limited in its capacity to reflect changing opinions and attitudes overtime. This study recommends future studies to conduct a longitudinal survey on the phenomenon.

This study is one of the first to deploy AI affordances to extend empirical literature on the novel SIWAL concept for work adjustment among craft family business owner-managers in Africa.

In this research, we explore the dynamics among measures of income inequality in the USA, male and female unemployment rates, and growth in government transfer using time series data.

This research adopts a macro-econometric approach to estimate a structural VAR model using time series data.

Our structural impulse responses found that growth in government transfer increases unemployment rates for both males and females. Female income inequality declines with increased government transfer. When the female income ratio rises, we observe that government transfer outlays fall over the forecast horizon. Variance decomposition finds that growth in government transfers is impacted by the male unemployment rate relatively more than the female unemployment rate. This research, therefore, suggests gender-specific government transfers to reduce income inequality. This, in effect, may reduce government transfer outlays over time.

This research, therefore, suggests gender-specific government transfers to reduce income inequality. This, in effect, may reduce government transfer outlays over time.

This research investigates the dynamics among income inequality, government transfer, and unemployment rates. There is a dearth of research articles that adopt a macro-econometric in this area.