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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.

Betting games have become a global industry worth billions of dollars providing employment to millions and contributing to the gross domestic product (GDP) of several countries. While there are debates and controversies surrounding betting games discourse, a growing body of literature shows that it has been exacerbated by growing unemployment rates. This paper aims to examine the nexus between the increasing involvement of youth in betting games and unemployment from the Nigerian perspective.

The study adopts simple random and stratified sampling techniques to select participants for the study. Three hypotheses were tested for this study and confirmatory factor analysis (CFA) and structural equation model (SEM) was used to test the hypotheses.

The three hypotheses tested in this study were coined from previous literature. The study established a direct link between technology advancement, promises of winning big coupled with bonuses while unemployment was not significant to youth involvement in betting games. The study also showed that playing betting games provides another source of income to the youth, who are already engaged in one form of work or another. Finally, youth involvement in betting games has created awareness regarding different sports in the world, while contributing to Nigeria’s economy.

As betting games centre as a business in Nigeria has contributed substantially and positively to unemployment in Nigeria; the Government of Nigeria are encouraged to streamline and regulate the activities of the sector such that they can contribute significantly to the country GDP and provide employment opportunities to the youths.

The research shows that the reason why betting games have a massive turnaround of youths in Nigeria is not majorly because of unemployment but as another means to a substantial financial individual/family income. Thus, Nigerian youths see betting games as an avenue to make more money. The study is the first of its kind to examine the nexus between betting games, technology and unemployment hence, its contribution to knowledge.

This study aims to identify institutional work mechanisms that public actors employ in market shaping.

The paper uses an abductive theorizing process, combining a literature review with an empirical exploration of three different market-shaping contexts.

The study identifies 20 granular mechanisms of institutional work that market-shaping public actors employ. These mechanisms are all potentially employable in creating, maintaining or disrupting markets. Institutional work vis-à-vis individual institutions may differ in direction from the institutional work vis-à-vis the market system. Public actors are not a homogeneous group but may have different values and support competing institutional logics even when operating in the same market.

The empirical data were limited to three cases in three small open economies. Data collected from other markets and with other methods would provide more rigorous insight into market-shaping public actors.

The findings revealed institutional work mechanisms that public actors can use to shape markets. Companies wanting to engage public actors in market shaping should be aware of the values and institutional logics that influence market-shaping public actors.

The paper unites and expands on the scattered knowledge regarding institutional work in market shaping. It illuminates and dissects the role of public actors in market shaping, challenging the reactive stance that is often assigned to them. The study provides a better understanding of how conflicting market views affect markets. It also brings insights into the interplay between market-shaping actions and the multiple levels of market systems.

This paper investigates the stock market reaction to three different events related to the UEFA Champions League – the announcements of draws, odds and match results. The aim of the paper is to test whether these events are informative for stock market operators, i.e. whether they produce abnormal returns.

Applying the event study methodology, the authors investigate the stock market reaction before (at two events: the draw date and on the release of betting odds) and after the matches of 11 listed soccer teams in the period 2003–2019. The authors also conduct OLS regression analyses in order to disentangle the impact of firm specific variables and match characteristics on cumulative abnormal returns.

This paper finds that match outcomes affect the stock market performance of listed teams, while the announcements of draws and odds do not. More specifically, the market does not consider match outcomes involving wins and ties as informative events, while it penalizes losing teams. Moreover, investor reactions to events related to the UCL competition depend more on match characteristics than on company specific variables.

The study enriches the ongoing debate about the impact of soccer team results on stock market performance in several ways: using the widest time span ever adopted in this area; focusing on UCL, which is the most important soccer competition played by private clubs; disentangling for the first time the effects of draws, odds release and sporting outcome on stock returns of listed soccer clubs.

The purpose of this paper is to identify if fraud theory models suggested over the years are applicable to match-fixing and if so, whether the Krambia-Kapardis’ (2016) holistic fraud and corruption prevention model can be used to reduce significantly match-fixing in football.

An online survey was developed by the authors and was administered to football stakeholders in Cyprus, namely, players, referees, coaches and team management.

The research questions, who are the initiators of match-fixing, why is match-fixing taking place and what is the best way to prevent or reduce match-fixing, have been answered, and these findings have enabled the authors to make policy recommendations.

The survey considered match-fixing in only one sport (football) while the number of respondent categories and the 335 usable questionnaires returned did not allow advanced statistical analysis of the data obtained.

The findings point to the need both for ethics and moral values to be installed in all the stakeholders through training and continuing education. It is also suggested that teams/clubs and related associations acting as regulators ought to implement governance principles and ethical programs, including whistleblowing lines and appoint integrity officers to minimize the match-fixing phenomenon. Furthermore, society, as well as government, sport regulators and sponsors, ought to encourage and demand fair play and integrity in sport through improved measures of governance and accountability and the implementation of ethical audits and public disclosure of audited financial statements of teams. Finally, sports integrity ought to be embedded in school curriculum from a very young age.

To the best of the authors’ knowledge, this is an original contribution to knowledge that has impact on the future of sporting fairness and social legitimacy.

Indian Premier League (IPL) is one of the more popular cricket world tournaments, and its financial is increasing each season, its viewership has increased markedly and the betting market for IPL is growing significantly every year. With cricket being a very dynamic game, bettors and bookies are incentivised to bet on the match results because it is a game that changes ball-by-ball. This paper investigates machine learning technology to deal with the problem of predicting cricket match results based on historical match data of the IPL. Influential features of the dataset have been identified using filter-based methods including Correlation-based Feature Selection, Information Gain (IG), ReliefF and Wrapper. More importantly, machine learning techniques including Naïve Bayes, Random Forest, K-Nearest Neighbour (KNN) and Model Trees (classification via regression) have been adopted to generate predictive models from distinctive feature sets derived by the filter-based methods. Two featured subsets were formulated, one based on home team advantage and other based on Toss decision. Selected machine learning techniques were applied on both feature sets to determine a predictive model. Experimental tests show that tree-based models particularly Random Forest performed better in terms of accuracy, precision and recall metrics when compared to probabilistic and statistical models. However, on the Toss featured subset, none of the considered machine learning algorithms performed well in producing accurate predictive models.

The purpose of this paper is to present a conceptual model of business development that provides operational ways to increase the competitive presence of more micro and small ventures (both actual and new) in enlarged markets, including international ones.

The paper develops a conceptual model starting from the identification of the most usual constraints limiting the SMEs and entrepreneurship development and success. After this stage, the model was built with the help of selected concepts, which represent a theoretical framework of support.

Regarding the universe of SME and entrepreneurship, the authors usually find some weaknesses: markets mainly local/regional, absence of growth, cooperative networks and/or international operations, because of several usual constraints: limited competences and resources, absence of critical mass on buying/selling and difficulty to cooperate. These shortcomings represent an economic waste when there are competitive offers and/or endogenous resources.

The model will be applied in a Portuguese county, in this way the authors expect to make an empirical research in the near future.

The model surpasses the, usual, limited skills of people and organisations betting in their competitive specialisation, with the assumptions that few people can be successful entrepreneurs/managers, but quite everyone can perform something competitively. The organisation/structure – Local Development Platform (LDP) – has the responsibility to assure the competitiveness of value chains built over networks of these agents. Additionally, the LDP should provide collective resources to lower the investments and operational needs of the agents involved, provide the added value services necessary for offers and agents’ competitiveness, achieve critical mass on buying and selling and enlarge/open new markets. These resources are organised in up to five specialised platforms, to service a strategy structured along five axes of development.

With this model, it is possible to increase the levels of employment and welfare.

A practical/operational integrated model able to be applied in different contexts will help private and public agents to define and implement strategies of development to enable the growth and success of SMEs and entrepreneurial initiatives in the international markets context.

The authors analyze the relationship between different consumer attitudinal variables and a number of variables related to consumer perception of the store and purchasing behavior, in assortments composed exclusively of private labels (PLs).

The authors developed an experiment based on an online survey to test the hypotheses formulated. The model’s causal relationships are established using structural equations.

The image of stores that only offer their own brand is mainly configured by price consciousness and the attitude toward the private label. The private label purchase intention is strongly influenced by the store image and a favorable attitude toward the brand, and loyalty strategies should be aimed at securing a clear perception of providing real value.

For retailers who only offer their own brands, an assortment with price-competitive PLs is key to the strategy of differentiating them from other retailers. It is reasonable to assume that, if retailers have a favorable image, customers transfer this brand value to their PLs and trust them. Customer loyalty strategies of these retailers should be aimed at ensuring that consumers clearly perceive that their assortment provides real value and that, although it is limited in terms of number of brands, it can meet all their needs.

This research represents a significant contribution to brand management literature because, includes, together with loyalty to the store, its image and the PL purchase intention as consumer response variables. Another differentiating feature is the methodology used. Estimation of the structural equation model permits the simultaneous estimation of the relationships between the variables.

Analizamos la relación entre diferentes variables actitudinales de los consumidores y un número de variables relativas a la percepción de los consumidores con respecto al establecimiento y el comportamiento de compra, todo ello en surtidos compuestos exclusivamente por marcas de distribuidor.

Desarrollamos un experimento online, basado en una encuesta, para testar las hipótesis planteadas. Utilizamos ecuaciones estructurales para determiner las relaciones causales del modelo.

La imagen de los establecimientos que ofrecen exclusivamente su propia marca se configura, principalmente, por la conciencia de precio y por la actitud de los consumidores hacia la marca privada. La intención de compra de la marca de distribuidor está fuertemente influenciada por la imagen del establecimiento y por una actitud favorable hacia dicha marca, por lo que las estrategias de fidelización de clientes deberían estar orientadas a asegurar una clara percepción de proporcionar valor real a los consumidores.

Para los minoristas que ofertan exclusivamente sus propias marcas, un surtido con marcas de distribuidor muy competitivas en precio es fundamental en su estrategia de diferenciación de sus competidores. Además, es razonable suponer que si los minoristas cuentan con una imagen favorable, los consumidores trasladarán este valor de marca a sus propias marcas propias y confiarán en ellas. Las estrategias de fidelización de este tipo de minoristas deberían ir enfocadas a asegurarse de que los consumidores perciben claramente el valor real que aporta su surtido y que, aunque limitado en términos de número de marcas y alternativas, les permite cubrir todas sus necesidades.

Esta investigación supone una significativa contribución a la literatura sobre gestión de marcas al incluir, conjuntamente con la lealtad al establecimiento, su imagen y la intención de compra de la marca de distribuidor como variables respuesta del consumidor. Otro elemento diferenciador es la metodología empleada, ya que la estimación del modelo de ecuaciones estructurales permite la estimación simultánea de las relaciones entre las distintas variables.

This study investigates three issues associated with playing sports video games: the correlates of participation (and its intensity) in this type of activity, their complementarity with traditional sports and their perception as sport. Given the scarcity of data on esports participation, these results can be seen as an initial approach to these issues with regard to esports.

Sequential, two-part and regression models are estimated using a sample of 11,018 individuals from the Survey of Sporting Habits in Spain 2015.

First, the association of the correlates follows different patterns for participation in sports video games and its intensity. Second, complementarity with traditional sports is found using different approaches. Third, young people consider this activity as a dimension of their overall interest in sports.

The different association of the correlates with participation in esports and its intensity can be used to define marketing and brand investment strategies. The complementarity between esports and traditional sports should influence how the actual stakeholders in sport define future strategies to favour the growth of both industries. Finally, the increasing perception of esports as a sport should influence the future organisation of multi-sport events like the Olympic Games.

Using sports video games participation as a proxy of esports participation, this study is the first to provide empirical evidence of the relevance of distinguishing between participation in esports and its intensity, their complementarity with traditional sports and their perception as sport.