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This study provides the critical masses (thresholds) at which the positive incidence of finance and economic growth will be dampened by the negative effects of income inequality and poverty on energy consumption in Sub-Saharan Africa for policy direction.

The study employed the two steps systems GMM estimator for 41 countries in Africa from 2005–2020.

The study found that for finance to maintain a positive effect on energy consumption per capita, the critical thresholds for the income inequality indicators (Atkinson coefficient, Gini index and the Palma ratio) should not exceed 0.681, 0.582 and 5.991, respectively. Similarly, for economic growth (GDP per capita growth) to maintain a positive effect on energy consumption per capita, the critical thresholds for the income inequality indicators (Atkinson coefficient, Gini index and the Palma ratio) should not exceed 0.669, 0.568 and 6.110, respectively. On the poverty level in Sub-Saharan Africa, the study reports that the poverty headcount ratios (hc$144ppp2011, hc$186ppp2011 and hc$250ppp2005) should not exceed 7.342, 28.278 and 129.332, respectively for financial development to maintain a positive effect on energy consumption per capita. The study also confirms the positive nexus between access to finance (financial development) and energy consumption per capita, with the attending adverse effect on CO₂ emissions inescapable. The findings of this study make it evidently clear, for policy recommendation that finance is at the micro-foundation of economic growth, income inequality and poverty alleviation. However, a maximum threshold of income inequality and poverty headcount ratios as indicated in this study must be maintained to attain the full positive ramifications of financial development and economic growth on energy consumption in Sub-Saharan Africa.

The originality of this study is found in the computation of the threshold and net effects of poverty and income inequality in economic growth through the conditional and unconditional effects of finance.

The purpose of this paper is to explore fans’ reactions to corporate naming rights sponsorship of football club stadia and identify a range of contextual factors impacting these reactions.

A qualitative, quasi-ethnographic research design is adopted, focusing on three football clubs in North West England. Data are gathered through online message board discussions, focus groups and auto-ethnographic approaches.

Geographic, image and functional dimensions of sponsorship fit are noted as contextual factors in determining fans’ reactions to corporate stadium names. It is also proposed that some forms of fit (in particular geographic fit) are more important than others in this regard. Beyond issues of fit, three additional contextual factors are identified that potentially influence fans’ reactions to corporate stadium names: prior involvement with the club by the sponsor; fans’ perceived impact of the sponsorship investment; and whether the stadium is new or long-established.

Future research might examine the relative importance and implications of the identified contextual factors, alongside seeking other potential areas of contextual framing.

Sponsorship naming rights negotiations need to be sensitive to a variety of contextual factors. Furthermore, sponsors would do well to have a good awareness of their own brand image and its congruency with the identity of the club and fan base.

This nuanced, qualitative analysis extends existing, quantitative-based research by identifying a range of contextual factors which shape fans’ reactions to corporate stadium naming.

Reality breakdowns generate reflexivity and awareness of the constructed nature of social reality. These pivotal moments can motivate institutional inhabitants to either modify their social worlds or reaffirm the status quo. Thus, reality breakdowns are the initial points at which actors can conceive of new possibilities for institutional arrangements and initiate change processes to realize them. Studying reality breakdowns enables scholars to understand not just how institutional change occurs, but also why it does or does not do so. In this paper, we investigate how institutional inhabitants responded to a reality breakdown that occurred during our ethnography of collegial governance in a large North American university that was undergoing a strategic change initiative. Our findings suggest that there is a consequential process following reality breakdowns whereby institutional inhabitants construct the severity of these events. In our context, institutional inhabitants first attempted to restore order to their social world by reaffirming the status quo; when their efforts failed, they began to formulate alternative possibilities. Simultaneously, they engaged in a distributed sensemaking process whereby they diminished and reoriented necessary changes, ultimately inhibiting the formulation of these new possibilities. Our findings confirm reality breakdowns and institutional awareness as potential drivers of institutional change and complicate our understanding of antecedent microprocesses that may forestall the initiation of change efforts.

The purpose of this paper is to explore Finns’ labor market development predictions for the next ten years and shed light on preferred policy responses to the digital economy.

Nationally representative survey data employed in this paper were collected in autumn 2017. The data collection utilized a multiphase sampling, and the interviews (n=1004) were carried out on telephone to minimize selection-bias and produce demographically balanced data.

Over two-thirds (71 percent) of Finns do not expect technological unemployment to constitute a permanent problem in the digital economy. Nevertheless, 74 percent assume that technological unemployment will increase at least temporarily. A considerable majority (85 percent) also believe that future jobs will be more precarious. Younger generations, despite their currently weak position in the labor market, are surprisingly more optimistic in their predictions. Analysis of preferred policy responses support this paper’s main thesis that the Finnish view on the future of work is rather optimistic: education reforms and streamlining the current social security gather dedicated support, whereas more unconventional ideas such as basic income or work-sharing remain contested.

To predict possible barriers to labor mobility stemming from digital economy discourses and to anticipate possible political fluctuations, studies on the public view are needed. This research aims to provide a solid framework for further comparative explorations of the public view.

According to the Project Management Institute, 70% of projects fail globally. The causes of project failure in many instances can be identified as non-technical or behavioral in nature arising from interactions between participants. These intangible risks can emerge in any project setting but especially in project settings having diversity of cultures, customs, beliefs and traditions of various companies or countries. This paper provides an objective framework to address these intangible risks.

This paper presents a structured approach to identify, assess and manage intangible risks to enhance a project team’s ability to meet its objectives. The authors propose a user-friendly framework, Intangible Risk Assessment Methodology for Projects (IRAMP), to address these risks and the factors that cause them. Meta-network (e.g., a network of networks) simulation and established social network analysis (SNA) measures provide a quantitative assessment and ranking of causal events and their influence on the intangible behavior centric risks.

The proposed IRAMP and meta-network approach were utilized to examine the project delivery process of an international energy firm. Data were gathered using structured interviews, surveys and project team workshops. The use of the IRAMP to highlight intangible risk areas underpinned by the SNA measures led to changes in the company’s organizational structure to enhance project delivery effectiveness.

This work extends the existing project risk management literature by providing a novel objective approach to identify and quantify behavior centric intangible risks and the conditions that cause them to emerge.

Public realm urban regeneration projects aim to provide facilities for the common good such as improved road systems, public parks, museums and cultural institutions. Driven by political priorities, the expected benefits for society comprise of the proposed regeneration outcomes articulated in a masterplan vision. As a philosophical concept, common good in the context of urban regeneration is explored in this study to understand the expectations for major, long-term regeneration projects and the intended project objectives. In the approach to governance, there should be a relationship between monitoring indicators adopted by the regeneration project as part of the governance framework and their alignment with the common good. These concepts are analysed through a case study of the development and reporting of benchmark indicators established at the start of a major 20-year urban redevelopment in 2010. The monitoring and enhancement concept implemented required indicators to be developed and embedded in the regeneration process to, not only monitor, but also enhance sustainability. The longitudinal case study, at the interim point 10 years since the establishment of these indicators, will evaluate the sustainability of the urban regeneration and evaluate current evidence for the common good. The indicators were developed following the principles of a theme orientated framework in line with the UK and Scottish Government approach at that time. The process of indicator development was iterative, refined and finalised through working closely with local authority, Scottish Enterprise and partnership stakeholders (civic oriented organisations) to capture evidence of progress towards the masterplan vision. Ten years on, conclusions examine whether these indicators could be used a proxy for common good. The conclusion will identify the extent to which we would need to revise indicators to address any gaps to become a more accurate measure of common good.

The purpose of this paper is to propose a soft computing model based on multi-objective evolutionary algorithm (MOEA), namely, modified micro genetic algorithm (MmGA) coupled with a decision tree (DT)-based classifier, in classifying and optimising the students’ online interaction activities as classifier of student achievement. Subsequently, the results are transformed into useful information that may help educator in designing better learning instructions geared towards higher student achievement.

A soft computing model based on MOEA is proposed. It is tested on benchmark data pertaining to student activities and achievement obtained from the University of California at Irvine machine learning repository. Additional, a real-world case study in a distance learning institution, namely, Wawasan Open University in Malaysia has been conducted. The case study involves a total of 46 courses collected over 24 consecutive weeks with students across the entire regions in Malaysia and worldwide.

The proposed model obtains high classification accuracy rates at reduced number of features used. These results are transformed into useful information for the educational institution in our case study in an effort to improve student achievement. Whether benchmark or real-world case study, the proposed model successfully reduced the number features used by at least 48 per cent while achieving higher classification accuracy.

A soft computing model based on MOEA, namely, MmGA coupled with a DT-based classifier, in handling educational data is proposed.

Intangible legacy encapsulates the essence of Olympism and its manifestation, the Olympic Games. Despite significant interest in the capacity of the Olympics to produce notable changes in society, conceptual difficulties in defining and measuring intangible legacy persist. The study develops a conceptual definition of intangible Olympic legacy.

The study follows a four-step concept definition approach. It examines and integrates three strands of literature including intangibles, social interactions and public value, which is combined with insights from a longitudinal empirical investigation of intangible Olympic legacy for National Sport Organisations (NSO).

The proposed concept of intangible legacy defines it an emerging combination of attributes, interactions, processes and technology, with the goal of creating public value which is the ultimate goal of the Olympic Games. Since intangible legacy is qualitative rather than quantitative, a reconsideration of the current research paradigm is also proposed.

The study develops a new analytical device for the investigation of intangible legacies for specific publics such as NSO.

The study carries practical implications for Olympic and events/festival promoters as it allows defining and operationalising the key attributes of the concept.

This is the first study to conceptualise intangible legacy of mega events.

The tax burden, defined as the ratio of the collected taxes in a particular period against the total product, is commonly used to determine the effect of fiscal and tax policies on the socioeconomic structure. The purpose of this study is to examine how the changes in some macroeconomic indicators affect the tax burden.

System generalized method of moments approach is used for 34 Organisation for Economic Co-operation and Development (OECD) members in the period of 1993-2016.

Based on the research findings, variables such as income per capita, foreign trading volume, the capacity of employment, unemployment and economic share of industry sector effect tax burden in a statistically significant and positive direction. The reason that lies behind the positive effect of unemployment on tax burden is the fact that the sense of social state is not abandoned. Thus, it is predicted that the state will increase public transfer expenditures in the short term due to unemployment, this increase will impose a financial burden on the public sector both in the medium and long term and finally, there will be an increase in the tax burden.

Results in the literature suggest that there are many reasons for increasing tax burden such as socio-economic development, financial and organizational structure and the globalization process. However, according to this study, it seems that gross domestic product per capita, the size of the industry sector, openness, employment capacity and unemployment rate also have a positive and significant effect on tax burden in the long run. Ultimately, these results demonstrate that tax burden, one of the most important indicators of the public sector size in the sample of the states and period in hand, is influenced positively by all independent variables and increases slightly but surely. These results suggest that the tax state is still a determinative factor in the socioeconomic field within its taxation tools.