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Over a decade since the Special Criminal Court (SCC) was established in Cameroon, hundreds of individuals have been indicted, tried and convicted. Sentences have been imposed, most of which include a term of imprisonment (principal punishment/penalty) and confiscation as accessory penalty or punishment. Research focus has not been directed at the sentences which, as argued in this paper, are inconsistent, incommensurate with the amounts of money stolen and a significant departure from the Penal Code. This paper aims to explore the aspect of sentencing by the SCC.

To identify, highlight and discuss the issue of sentencing, the paper looks at a blend of primary and secondary materials: primary materials here include but not limited to the judgements of the SCC and other courts in Cameroon and the Penal Code. Secondary materials shall include the works of scholars in the fields of criminal law, criminal justice and penal reform.

A few findings were made: first, the judges are inconsistent in the manner in which they determine the appropriate sentence. Second, in making that determination, the judges would have been oblivious to the prescripts in the Penal Code, which provides the term of imprisonment, and in the event of a mitigating circumstance, the prescribed minimum to be applied. Yet, the default imposition of an aggravating circumstance (being a civil servant) was not explored by the SCC. Finally, whether the sentences imposed are commensurate with the amounts of monies stolen.

This research unravels key insights into the functioning of the SCC. It advances the knowledge thereon and adds to the literature on corruption in Cameroon.

The prosecution and judges at the SCC should deepen their knowledge of Cameroonian criminal law, especially on the nature of liberty given to judges to determine within the prescribed range of the sentence to be imposed but also consider the existence of an aggravating factor – civil servant. They must also consider whether the sentences imposed befit the crime for which they are convicted.

The paper is an original contribution with new insights on the manner in which sentencing should be approached by the SCC.

The purpose of this study is to analyze the relationship between citizen participation and the level of trust in government’s decisions and policies; as well as examining the impact of disclosure of information on the level of citizens’ engagement with governments’ projects. In addition, testing the real motives behind Egyptian citizens’ participation in financing national projects. The study is applied to the “New Suez Canal,” which was finished in only one year opposing the three years implementation period suggested by some studies.

The researcher depended on secondary and primary data as well in working on this paper. She used secondary data gathered from scholars and from domestic and international institutions. Then, she conducted a field study and collected data through distributing 384 Likert Scale questionnaires containing 34 self-administered among respondents to test the following: 1. Citizens perceptions regarding the level of trust in government’s decisions and policies. 2. The impact of citizens’ trust on their willingness to participate in governments’ projects. 3. Is ‘public service motivation’ (PSM) behind citizens’ willingness of participating in national projects. 4. Is the ‘high expected profit of Suez Canal Investment Certificates’ behind citizens participation in national projects.

H1 and H2 have been accepted as trust, transparency and citizen participation proved to be important pillars of building a participatory government. Moreover, citizens’ participation in national projects encouraged national and international enterprises to invest in the canal provision. H3 and H4 are accepted and the statistical study revealed dual contradicting results regarding the motive of citizens’ financial participation in the New Suez Canal project. The justification for the contradiction is that right after the 2011 up-rise, Egyptian citizens were overwhelmed with patriot emotions and feelings pushing them to participate in national projects. At the same time this patriot drive was moderated by the “performance-based rewards and citizens” self-interests’ pushed by the Egyptian government (offering a high-interest rate for Suez Canal Certificates at that time). Citizens might be motivated to participate in national projects triggered by many factors: public service drive – patriotism or self-interest.

The study needs further deeper investigation and empirical pieces of evidence to answer the following questions: would different participatory actions result differently in other circumstances? Do individuals’ levels of PSM vary over time? Besides, the researcher needs to find ways to test PSM against various motives such as self-interest, which needs to be confirmed empirically.

The author came up with important recommendations for central government and decision-makers in Egypt and is based upon the study’s statistical results. The most important recommendations were: central government and decision-makers should frame a policy designed to promote citizens’ participation in decision-making drawing on the guidelines for civil participation in political decision-making. Decision-makers in the central government should work local and regional authorities to update and improve local and regional regulations concerning the participation of citizens in local public life and promote a culture of democratic participation shared by communities and local authorities. Performance-based rewards (high-interest rate) are moderating the citizens’ public service motivation (PSM – patriot sense) and citizens may be motivated by different factors such as public service drive – patriotism or self-interest.

The study is tackling an important issue, which is civil participation in political decision-making. It is also discussing promoting cultural awareness regarding the importance of democratic participation shared by communities and local authorities. The study came up with certain findings proving Egyptian civil society’s willingness in participating with the government in national projects; believing in its socio-economic benefits.

Finally, the study is of value, as it could be considered a pilot study representing the outcomes of citizen participation in national projects; in addition, it can be considered as a road map to policymakers. Moreover, the findings provide a set of recommendations and policies for governments and decision-makers to undertake tangible actions to accelerate citizen participation in further projects and decisions and be able to establish a democratic system in developing countries.

The concept of personal recovery is now a key pillar of service delivery. It aims to support individuals to flourish and establish a new identity following an acute episode or diagnosis. This view of recovery is unique to each person on that journey. However, there has been a significant focus on measuring these experiences. This paper aims to explore the influence of social constructionism on the concept of recovery within an Irish context, seeking to understand the influence of language, discourse and power on service users’ experiences.

A qualitative, interpretivist methodology was adopted for this case study design. Semi-structured interviews were conducted with 12 service users. Thematic analysis was chosen as the method of analysis.

Personalising recovery did not always lead to the removal of biological symptoms, but with the appropriate supports, individual’s recovery journey was greatly enhanced. On the contrary, personal recovery places overwhelmingly responsibility on the individual to succeed, largely driven by neoliberal discourse. This focus on individualism and the pressure to succeed was further experienced when people sought to re-integrate into society and participate in normalised social order. Ultimately, for many service users, they viewed personal recovery as an unfulfilled promise.

It is not a representative sample of service users within an Irish context.

To the best of the authors’ knowledge, this is the first study to explore influence of social constructionism on the concept of personal recovery within a mental health service context.

This paper examines the theoretical issues and research themes of business and management impact. Our empirical setting is the UK Research Excellence Framework 2014 (REF 2014) and the focus is on the nature of research impact. Stakeholders, including Governments, now expect academic outputs to translate to real world benefits beyond the narrow bibliometric type metrics.

Despite decades of academic literature devoted to business and management research impact, current theories cannot explain the apparent disconnect between academic, economic and societal practice. Adopting a UK Business and Management perspective to frame our investigation, we consider the highly contested rhetorical question – What are the current themes and impacts of Business and Management research?

We propose a definition for research impact and consider its measurement. Then, using the 410 Impact Case Studies submitted to REF 2014 #x2013; Unit of Assessment 19, business and management, we examine how high impact unfolds. The implications for business and management research impact from the perspectives of economic, knowledge and responsibility impacts are considered.

Prediction is a critical task in targeted online advertising, where predictions better than random guessing can translate to real economic return. This study aims to use machine learning (ML) methods to identify individuals who respond well to certain linguistic styles/persuasion techniques based on Aristotle’s means of persuasion, rhetorical devices, cognitive theories and Cialdini’s principles, given their psychometric profile.

A total of 1,022 individuals took part in the survey; participants were asked to fill out the ten item personality measure questionnaire to capture personality traits and the dysfunctional attitude scale (DAS) to measure dysfunctional beliefs and cognitive vulnerabilities. ML classification models using participant profiling information as input were developed to predict the extent to which an individual was influenced by statements that contained different linguistic styles/persuasion techniques. Several ML algorithms were used including support vector machine, LightGBM and Auto-Sklearn to predict the effect of each technique given each individual’s profile (personality, belief system and demographic data).

The findings highlight the importance of incorporating emotion-based variables as model input in predicting the influence of textual statements with embedded persuasion techniques. Across all investigated models, the influence effect could be predicted with an accuracy ranging 53%–70%, indicating the importance of testing multiple ML algorithms in the development of a persuasive communication (PC) system. The classification ability of models was highest when predicting the response to statements using rhetorical devices and flattery persuasion techniques. Contrastingly, techniques such as authority or social proof were less predictable. Adding DAS scale features improved model performance, suggesting they may be important in modelling persuasion.

In this study, the survey was limited to English-speaking countries and largely Western society values. More work is needed to ascertain the efficacy of models for other populations, cultures and languages. Most PC efforts are targeted at groups such as users, clients, shoppers and voters with this study in the communication context of education – further research is required to explore the capability of predictive ML models in other contexts. Finally, long self-reported psychological questionnaires may not be suitable for real-world deployment and could be subject to bias, thus a simpler method needs to be devised to gather user profile data such as using a subset of the most predictive features.

The findings of this study indicate that leveraging richer profiling data in conjunction with ML approaches may assist in the development of enhanced persuasive systems. There are many applications such as online apps, digital advertising, recommendation systems, chatbots and e-commerce platforms which can benefit from integrating persuasion communication systems that tailor messaging to the individual – potentially translating into higher economic returns.

This study integrates sets of features that have heretofore not been used together in developing ML-based predictive models of PC. DAS scale data, which relate to dysfunctional beliefs and cognitive vulnerabilities, were assessed for their importance in identifying effective persuasion techniques. Additionally, the work compares a range of persuasion techniques that thus far have only been studied separately. This study also demonstrates the application of various ML methods in predicting the influence of linguistic styles/persuasion techniques within textual statements and show that a robust methodology comparing a range of ML algorithms is important in the discovery of a performant model.