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The advancement of artificial intelligence (AI) has brought intelligent online shopping experiences to customers. AI-powered retail platforms deliver personalized shopping experiences through tailored recommendations, promotions and assistance. Given the increasing preference for online shopping, it is crucial to explore methods to optimize the adoption of AI-powered retail platforms. To address this, this study aims to examine the impact of technology readiness motivators (optimism and innovativeness) and inhibitors (discomfort and insecurity) on perceived trust, perceived usefulness and purchase intention toward AI-powered retail platforms.

Data were collected from 276 customers in Egypt, primarily from the millennial and Gen Z demographic segments. The collected data were then analyzed using the statistical package for social sciences (SPSS) and partial least squares structural equation modeling (PLS-SEM).

The findings revealed that optimism, innovativeness and discomfort significantly influence perceived trust, while optimism, insecurity and perceived trust significantly influence perceived usefulness. Both perceived trust and usefulness are significant predictors of purchase intention. Perceived trust mediates the effects of technology readiness motivators on perceived usefulness and purchase intention. Moreover, perceived usefulness mediates the effects of technology readiness motivators, insecurity and perceived trust on purchase intention.

To date, there are few investigations regarding the acceptance and adoption of AI-powered retail platforms in developing countries. Thus, this study offers valuable theoretical and practical implications in the context of smart retail technology adoption.

A range of intricate finished seamless shaped garments have been developed with the aim to fit predetermined sizes. The shape is created by using woven tubular fabrics with differential shrinkage in the same garment. The differential shrinkage is obtained by altering the fabric construction parameters at strategic locations along the length of the garment. The construction arameters include different weaves (plain, 2/2 basket, 1/3 twill, 2/2 twill, and crowfoot), weft densities, weft yarn counts, and weft yarns with different shrinkages (cotton, cotton that contains spandex, and cotton/polyester yarns). The weft yarn tension is used as an additional parameter to influence fabric shrinkage. A total of thirty-three woven fabrics are formed to establish the relationship between the construction parameters, weft tension, and shrinkage of the finished woven fabric. The relationship is used to produce a range of intricate garments with inherent shapes and predetermined sizes.

Although there are over 55,000 social enterprises operating in Egypt, the social entrepreneurship field is still failing to create the desired social change. This paper aims to explore the challenges faced by the field with a special focus on government related challenges as well as offer a set of recommendations to the Egyptian government to enhance the field.

The research was carried out in two phases; reviewing the literature around the topic through a secondary research followed by an empirical research interviewing four social enterprises, the ministry of social solidarity and experts in the field of social entrepreneurship.

The paper arrived to several challenges and they were organized into three main themes: challenges related to policy-making and other legal aspects; challenges related to institutional and operational support; and challenges related to social, educational and cultural awareness of the field and its ecosystem. The paper also came up with a set of nine recommendations directed to the Egyptian Government.

The originality and value of this research is that it offers first hand viewpoints of the challenges facing the field of social entrepreneurship in Egypt as well as offer practical recommendations to the Egyptian Government to overcome them.