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Despite increasingly persuasive women-focused marketing of gambling products, there has only been limited investigation around women sports betting. Men remain the focus of much of the conversation about sports betting as they have generally been found to be the most active sports bettors and the most at risk of experiencing harms associated with their behaviour. This chapter aims to fill this gap by exploring the characteristics of young women sports bettors in the United Kingdom and the relationship between sports betting and the experience of gambling harms. To do this, we created two models of analysis. Our analysis is based on data from the first wave (2019) of the Emerging Adults Gambling Survey (EAGS) dataset (n = 3,549). The EAGS is a non-probability longitudinal survey that includes individuals between the ages of 16 and 24 who were residents in Britain at the time of data collection. Firstly, we examined the associations between women sports bettors and several factors identified as important predictors of sports betting. Secondly, we sought to understand the relationship between women's sports betting and the harms associated with this activity. From these models, we found that women's sports betting was most reliably predicted according to fandom and peer influence. We also found that women sports bettors were more at risk of experiencing harms associated with difficulties with family and friends than women gamblers using other products.

Complying with the code of conduct by professionals in the construction industry worldwide has become a significant issue over the years. This has led to projects' failure, leading to losses to both the client and contractors. The study's objective is to identify the challenges of construction professionals in complying with their code of conduct and preventing corrupt practices.

Quantitative approach was used to collect empirical data by sending questionnaires to 56 construction professionals in South Africa. Data gathered were analysed through Excel statistical tool. Mean values were calculated for the quantitative data, whilst thematic content analyses were used to generate frequencies and percentages for qualitative data.

The findings indicate that construction professionals experience many unethical issues in their work duties such as inflated tender prices, overpricing the rates, tender-based kickbacks, bribes for projects, unethical methods of project execution, use of lower grade materials than specified, discrimination, among others. However, issues such as greediness, acceptance of corruption as usual practice, lack of knowledge about the code of conduct, the only way to get contracts, part of the process, and peer pressure create a challenge in complying with the code of conduct and preventing corrupt practices among construction professionals.

Construction professionals face many unethical and corrupt practices in their project management and execution, which they cannot overcome due to many factors. Therefore, there is the need to sensitise the professionals in the construction industry regarding their code of conduct as well as the danger associated with engaging in corrupt practices in their work and their implication on project performance.

The findings give an insight into the critical factors curtailing the construction professional's ability to comply with their code of conduct and be corrupt-free in their line of duty. Thus, professional associations can use the findings in guiding their members.

This article advances a conceptual typology delineating the differences and similarities between business- and social-sector new venture creators. Our classification scheme differentiates business and social entrepreneurs, considering characteristics of social entrepreneurs in a larger entrepreneurial context.Within a conceptual 2x2 typology based on two dimensions: drive (passion vs. business) and desired return (financial ROI vs. social ROI), we identify and classify 80 examples of new venture creators into one of the quadrants of an enterprise model of entrepreneurs. Preliminary results reveal similarities between social and traditional entrepreneurs and differentiate social entrepreneurs in terms of traits, goals, tendencies, and motivational sources.