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Building on the introduction to positive psychology and positive education in Chapter 1, the aim of Chapter 3 is to focus on wellbeing and positive education in secondary schools. This includes an overview of approaches to intervening in mental health (‘traditional’ and those which draw on the principles of positive psychology) that have been used in schools, and the factors that can influence their outcomes. When and how to apply interventions across three levels: the system, the community, and the individual, are also explored, alongside four different approaches: whole school, whole class, small group, and one-to-one. The chapter draws on up-to-date research and practical experience in secondary school settings, and includes a case study of Positive Psychology in Practice, based on the delivery (by the author) of a multi-component PPI (mPPI) – The Hummingbird Project, which has now been delivered to approximately 4,000 students in 24 secondary schools across the North West of England. The effectiveness of the mPPI, key lessons learned and insights gained are shared, including how to overcome the challenges of working in a culture not conducive to positive education.

A considerable amount of police evaluation research focuses on innovative approaches to reduce crime at places. This is hardly coincidental; policing and place-based scholars have found crime is highly concentrated, and when police focus on these places, they can prevent and reduce crime. The regularity of such findings led Weisburd (2015) to assert the existence of a “law of crime concentration.” Given that bold assertion, the authors test whether the law of crime concentration is generalizable to one of the most common public safety concerns that police handle—traffic crashes.

To determine whether the law of crime concentration applies to traffic crashes, the authors examined crash locations and times in all counties in Utah across four years. Following and expanding on Weisburd's methods, the authors calculate the bandwidth of concentration for these crashes and analyze various types by severity and possible explanations for variations in crash concentrations across the state.

A small proportion of street segments and intersections experience a disproportionately high number of crashes, and the degree of concentration of crashes may be even higher than that of crime. Further, there are variations in the levels of crash concentration across counties and in the severity of injuries resulting from the crashes.

Place-based criminologists and policing scholars have not often explored traffic crashes in their analyses. Yet, traffic problems take up a significant amount of law enforcement time and resources and are often priorities for most law enforcement agencies. Given what the authors know from traffic, policing and crime and place research, targeted approaches at micro traffic crash hot spots can be beneficial for public safety prevention.

This study is the first to explore the application of Weisburd's Law of Crime Concentration to traffic crashes. Given that police spend a significant amount of time and resources on traffic-related problems in their jurisdiction, finding more effective, evidence-based approaches to address this public safety concern should be a high priority for police and researchers alike.

This study was conducted to forecast the monthly number of tuna landings between 2023 and 2030 and determine whether the estimated number meets the government’s target.

The ARIMA and seasonal ARIMA (SARIMA) models were employed for time series forecasting of tuna landings from the Malaysian Department of Fisheries. The best ARIMA (p, d, q) and SARIMA(p, d, q) (P, D, Q)¹² model for forecasting were determined based on model identification, estimation and diagnostics.

SARIMA(1, 0, 1) (1, 1, 0)¹² was found to be the best model for forecasting tuna landings in Malaysia. The result showed that the fluctuation of monthly tuna landings between 2023 and 2030, however, did not achieve the target.

This study provides preliminary ideas and insight into whether the government’s target for fish landing stocks can be met. Impactful results may guide the government in the future as it plans to improve the insufficient supply of tuna.

The outcome of this study could raise awareness among the government and industry about how to improve efficient strategies. It is to ensure the future tuna landing meets the targets, including increasing private investment, improving human capital in catch and processing, and strengthening the system and technology development in the tuna industry.

This paper is important to predict the trend of monthly tuna landing stock in the next eight years, from 2023 to 2030, and whether it can achieve the government’s target of 150,000 metric tonnes.

The purpose of this study is to examine the effectiveness of two intervention strategies – identifying the global letter of Navon letters and verbally describing a face – in improving face recognition abilities of adolescents with autism spectrum disorder (ASD).

A total of 15 adolescents with ASD and 15 typically developing (TD) adolescents participated in this study, which consisted of three experimental conditions: verbalization, Navon and control. Participants were presented with a target face for a short period of time, then completed a task specific to the condition in a counterbalanced order, followed by a face recognition task.

The results of this study showed no significant interaction effects between groups and conditions, either in accuracy or reaction time. However, TD adolescents performed better than ASD adolescents in terms of accuracy. In addition, the verbalization condition resulted in better performance with slower response times compared to the control condition.

These findings suggest that verbalization may be a useful strategy to enhance face recognition abilities in ASD and TD individuals.

The purpose of this paper is to interrogate if the legal status of a cannabis affects money laundering activity. The legal status of cannabis continues to evolve globally; at the same time, its market remains enormous. Much of this market represents dirty money from criminal acts, which often requires laundering. In the context of changing cannabis regulations, legislation, and policies, the authors propose the possible implications such changes may have on the extent of money laundering.

This paper proposes the implications of the evolution of cannabis regulations on money laundering activities, using the theoretical underpinning of rational choice. Using Australia as a replicable critical case study, the paper, using the Walker gravity model and using United Nations Office on Drugs and Crime-reported prices of cannabis from 2003 to 2017 and Australian Criminal Intelligence Commission reports empirically validates the effects of cannabis regulations on the proceeds available for laundering.

This study finds support for the argument that prohibitive measures toward cannabis use contribute to increases in the need to launder generated proceeds.

The findings can be replicated in other countries and may contribute to novel propositions within the debate on the legalization of cannabis use, which has, thus, far primarily focused on the areas of health, crime, taxation and education.

To the best of the authors’ knowledge, no study has yet attempted to provide an economic analysis of the effects of cannabis policy changes on money laundering.

This paper aims to identify the combination of innovation determinants driving the creation of innovative products amongst market leaders and market followers in food and beverage (F&B) firms.

This research is based on the case study methodology by using two types of data sources: (1) semi-structured interviews with industry experts and (2) in-depth interviews with managers. In addition, a questionnaire adapted from prior research was used to consider market and firm types.

Suggesting an integrated theoretical framework based on firm-based factors and market-based factors, this study identified a combination of determinants significantly impacting innovative products in the market. Specifically, these determinants are competition intensity and innovation capability (a combination of research and development (R&D) investment and marketing capabilities). The study also examined how these determinants vary depending on whether the firms are market leaders or market followers.

This research provides practical insights for managers working in the F&B industry by using case studies and exploring the determinants of developing innovative products. In doing so, suitable strategies can be selected according to the market and firm situations.

The originality of the study is shown by focussing on how different combinations of market and firm factors could be applied in creating successful innovative products in the food sector.

This work aims to investigate the current financial structure of Italian agri-food micro, small and medium enterprises (MSMEs) to understand how MSMEs face innovation challenges, which are also required to support sustainable development.

To reach the goal, an empirical longitudinal analysis is performed on a sample of Italian agri-food firms. In detail, to highlight the changes in the use of financial sources between 2013 and 2019, a descriptive ratio analysis is carried out on the data extracted by the AIDA database. In addition, statistical analyses were performed, including t-tests and U Mann–Whitney. Finally, a fixed-effects model is created to analyse the panel data. To ensure homogeneity, the sub-sectors of production and transformation are separately considered.

The financial structure analysis shows an increase in the equity percentage in the funding sources, attributable to an attempt to compensate for the reduction of banks' funding. However, even though this change has not compromised firms' profitability, the undercapitalisation of companies is still present. Therefore, more equity investments are required to support the innovation process.

The value of the present research is to highlight the choice of using new alternative financing sources instead of traditional banks' credit to implement sustainable and innovative development Italian agri-food sector (AFS). This choice is forced by reducing finance from banks and other financial institutions because of the credit crunch. This issue is even more relevant, considering that MSMEs have structural financial problems but have to fulfil the mission of pursuing innovation in the same way as large companies. Therefore, this paper expands the literature on agri-food, delving into an issue typical of MSMEs and combining agri-food with the need for innovation.

Innovation has become extremely important, especially concerning manufacturing firms, as it is known to foster robust and healthy competition. The study aims to examine the effect of innovation orientation and supply chain integration on structural flexibility and strategic business performance.

Using the quantitative approach, 315 questionnaires were distributed to manufacturing firms in three cities (Accra, Kumasi and Takoradi) in Ghana out of which 305 usable responses were retrieved. The partial least square structural equation modeling technique and the statistical package for social sciences software version 27 were used for the data analysis.

The findings showed that supply chain integration and innovation orientation have a strong beneficial association. A substantial favorable association between structural flexibility and supply chain integration was found in the study once more. What is more, the research revealed a strong positive relationship between supply chain integration and strategic business performance. Furthermore, the study found a strong relation between innovation orientation and strategic business performance.

The research paper adds to the body of knowledge by examining how supply chain integration affects the relationship between innovation orientation, structural flexibility and strategic business performance.