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This research studies femvertising social marketing impact on their perceived congruence and authenticity; and attitudes toward female role portrayal cross-gender.

This research used deductive quantitative research approach. Data were gathered during a sports event in Egypt made to support female empowerment; a local sports organization hosted 8K Women Race on February 26, 2022, applying a cross-sectional timeframe. The researcher approached both male and female segments with an administrated questionnaire to fill out through convenience sampling. Structural equation modeling path coefficient analysis was used to test the hypotheses.

The research shows femvertising perceived congruence is insignificant cross-gender; femvertising perceived authenticity is significant to female segment, not the male segment; femvertising impacts female portrayal among male segment and female segment.

The conclusions could be reference for stakeholders who have interest in women empowerment marketing strategies as brand activism; companies that look toward femvertising as effective tactic to enhance affirmative attitude and build an empowered female customer base. The results indicate that marketers can benefit from adapting a more mindful approach to the portrayal of females used in advertising.

The addition of a cross-gender perspective on femvertising (as brand activism) is a key contribution to this literature. This study adds knowledge on the how perceived congruence and authenticity of the advertising can impact significantly attitude toward women empowerment; when brands promote social matters, their underpinning motives are under microscope among consumers, and adverse attributions can hinder brand performance as consumers may not believe the brands when they engage in the activism.

This study investigates consumer purchase behavior during the steady devaluation of currency, which led to increase in inflation rates in Egypt.

This study collected and analyzed numerical data to test the causal relationships found among the research model variables. Administrated questionnaires were distributed March 2023 in cross-sectional timeframe in several visits to hypermarkets, supermarkets and grocery stores in Cairo and Alexandria, applying nonprobability sample. Structure equation model path analysis was used to test the hypotheses.

This study shows compulsive buying, sense of anxiety, value shopping, attitude toward private label, attractiveness of local brands and materialistic behaviors impact consumers' acceptance of alternative brands; compulsive buying, sense of anxiety and materialistic behaviors impact the continuance of purchasing accustomed brands.

Retailers, government and policymakers can use this study as a guide to know how consumers react during times of high prices so to provide solutions to their needs. Policymakers should take into account the findings in managing the economy.

This study shows the effect of inflation on consumer spending to contribute to the body of knowledge in literature on the factors that influence consumer behaviors. A model was developed to frame the possible manners that might surface among consumers during times of high inflation; it reflected whether compulsive buying, sense of anxiety, value shopping, attitude toward private label, attractiveness of local brands and materialistic behaviors impact consumers acceptance of alternative brands and/or the continuance of purchasing accustomed brand.

This study identifies key facets leading to consumers' Internet of Things (IoT) adoption intention.

Applying four technology acceptance theories (theory of planned behavior, technology acceptance model, pleasure-arousal-dominance theory and technology readiness index), the author uses deductive quantitative research to develop a model, explaining IoT adoption intentions. Administrated questionnaires are distributed in Egypt among generation-Z and millennials in malls. A total of 400 questionnaires are used for hypotheses testing, applying structural equation modeling (SEM) path coefficient analysis.

Results of this study show that attitude, dominance, perceived usefulness, innovativeness and insecurity impact consumers' IoT adoption intentions; subjective norms, perceived behavior control, pleasure, arousal, perceived ease, optimism and discomfort hold insignificant impact on consumers' IoT adoption intentions.

Exploring IoT facets and how these facets impact consumers' adoption intentions, this study helps grasp technology acceptance in theory and practice, guiding scholar and practitioners (e.g. IoT developers, retailers, marketers and other field experts) to consider consumers' mindset when developing, improving and marketing IoT.

The contribution stems from the incorporation of various frameworks used to explain technology acceptance. By studying several theories jointly, the research extracts and identifies a significant set of facets (technical and psychological) to build a comprehensive theory of IoT acceptance, showing consumers' IoT adoption is not entirely similar to adoption of other past innovations. This understanding allows marketers to focus on content that needs to be promoted to boost consumers' IoT purchase plans. Future researchers could replicate the results to IoT categories (e.g. home appliances, cars, healthcare, education, sportswear, etc.) to improve external validity of the findings, among other future research opportunities.