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The aim of this chapter is to examine the way in which small- and medium-sized enterprises (SMEs) adapt their financial and operational planning in order to develop green entrepreneurship. This is examined through two different practices which may be followed by companies: policies and strategies that lead enterprises to energy upgrade and policies and strategies relating to environmental protection. This chapter draws upon the dataset from 100 Greek SMEs. The process of data collection was conducted by delivering questionnaires to the sample of companies in question. The novelty of this research, in comparison with other surveys, is that the level of adopting green strategies is approached not only in the fields of energy or environmental efficiencies but also attempts to introduce techno-economic parameters with related items in the questionnaires delivered to the SMEs. Hence, a more thorough analysis for the greenness of Greek SMEs is discussed based on 10 (i.e. techno-economic) research hypotheses. The results indicate that the SMEs should be supported more effectively by the Greek government and European Union through funding initiatives. The funding initiatives do not have the expected results so far towards this direction. However, it seems that the SMEs realize the importance of green strategies as they believe the consumers are willing to pay more for green products.

This chapter explores the impact of equality, diversity, and inclusivity (EDI) on internal change agents’ (ICAs) personal and professional development. We have surveyed 117 ICAs that undergo a four-year digital development programme at Edinburgh Business School (EBS). Our survey design draws from expectancy, surprise, sensemaking, and attribution theories to test four hypotheses using Spearman’s rank. We found that diversity features such as gender, age, sector affiliation, work experience, management responsibility, and programme stage do not strongly impact ICAs’ experience of personal and professional development. Surprisingly, some diversity features had a modest or moderate impact on ICAs’ experience of personal and professional development. This disconfirmed our basic assumption about the effectiveness of inclusivity practices in the digital development programme at EBS. We conclude that future research should further investigate the impact of evaluation on ICAs’ personal and professional development and how we can secure it in a digital Business School context.

The chapter investigates: (1) Do married parents efficiently allocate time to children’s health care? (2) Are parents willing to sacrifice consumption for health improvements at an equal rate for all family members? (3) How does family structure affect health trade-offs parents make? (4) Are parental choices consistent with maximization of a single utility function?

A model is specified focusing on how parents allocate resources between consumption and goods that relieve acute illnesses for family members. Equivalent surplus functions measuring parental willingness to pay to relieve acute illnesses are estimated using data from a stated-preference survey.

Results provide limited support for the prediction that married parents allocate time to child health care according to comparative advantage. Valuations of avoided illness vary between family members and are inconsistent with the hypothesis that fathers’ and mothers’ choices reflect a common utility function.

Prior research on children’s health valuation has relied on a unitary framework that is rejected here. Valuation researchers have focused on allocation of resources between parents and children while ignoring allocation of resources among children, whereas results suggest significant heterogeneity in valuation of health of different types of children and of children in different types of households.

Results may provide a justification on efficiency grounds for policies to provide special protection for children’s health and suggest that benefit–cost analyses of policies affecting health should include separate estimates of the benefits of health improvements for children and adults.

This chapter examines the dynamic of state-society interaction during the events of the winter 2013–2014 Ukrainian Maidan Revolution. Using a new dataset, containing responses from the activists of the dissent movement, the study uncovers the “tipping point” at which revolutionaries were much more likely to support violent tactics. The study adds to the scholarly debate on repression-dissent, showing that social interpretation of state repression is essential in affecting social support for political violence. In addition to the theoretical contribution, this article presents the first systematic scholarly account of the repression-dissent dynamic of the 2013–2014 Ukrainian revolution, implementing original empirical and interview data.

This is the third in a series of papers aimed at providing models effective in predicting the degree of pain and discomfort in canines. The first two papers provided benchmarking and examination of dogs suffering from osteoarthritis (OA). In this chapter, we extend the study to include dogs suffering from OA, sarcoma, and oral mucositis (a side effect of chemotherapy and radiation treatments). The R programming language and SAS JMP are used to clean data, generate ANOVA, LSR regression, decision tree, and nominal logistic regression models to predict changes in activity levels associated with the progression of arthritis. The predictive models provide a diagnostic basis for determining the degree of disease in a dog (based on demographics and activity levels) and provide forecasts that assist in establishing appropriate medication dosages for suffering dogs.

Educational policies are widely recognized as the means par excellence to equalize opportunities among children with different social and family backgrounds and to promote intergenerational mobility. In this chapter, we focus on the French case and we apply the opportunity equalization criterion proposed by Andreoli, Havnes, and Lefranc (2019) for evaluating the effect of rising compulsory schooling requirements in secondary education. Our results show that such education expansion has a limited redistributive effect on students’ earnings distribution. Nonetheless, we provide evidence of opportunity equalization among groups of students defined by family background circumstances.

The purpose of the chapter is to contribute to the discussion as to whether some sort of regulation of professional accountants is warranted, by analysing whether professional qualification of accountants affects the provision of accounting services.

A survey method is used. From a sample of 96 accountants providing accounting services in Slovenia, we estimate the structural equation model and measure competences, knowledge, service mix, customer loyalty and litigation risk.

We find that professional qualification is positively associated with competences. Competences, in turn, are positively associated with knowledge and wider service product mix, but not with customer loyalty and litigation risk.

The respondents are practicing accountants. Their self-evaluation of their knowledge should be treated with caution in terms of the absolute values of assessed knowledge as they are inevitably subjective. For other variables, more objective measures are used.

In the absence of accounting profession regulation, the quality of financial reporting may be particularly vulnerable in micro companies. Although answering the question of whether provision of accounting services should be subject to regulation is not straight-forward, the results of our study provide some guidance for regulatory decision making.

Advancements in digital technology, collectively known as Industry 4.0, are profoundly changing dynamics in multiple industries. The coaching industry is impacted by this shift, as companies offering digital coaching technologies begin to take market share. To effectively serve clients in this rapidly changing market, coaches must adopt a digital mindset, upskill their capabilities, and transform their business models to leverage current and nascent technology.

Organizations are increasingly including executive coaching as part of their leadership development interventions to improve their executive leaders' abilities. Previous studies have linked outstanding leader performance to an intentionally developed relational climate. Therefore, the relational climate crafted between the coach and executive leader is critically important to create shared purpose, experience compassion, energize interactions, impact performance, and realize a quality, effective executive coaching engagement.

This is the first study to explore relational climate as a driver of coaching relationship quality. My empirical findings reflect that relational climate has a significant, positive impact on coaching relationship quality, which in turn contributes to an executive leader's effectiveness. The three goals of this study are: (1) to understand the factors that contribute to crafting a quality and effective coaching relationship; (2) to address scholarly gaps in past research regarding the relationship between a coach and client; and (3) to provide clarity for coaches how to better address, leverage, and realize an executive coaching relational climate within the context of Industry 4.0. Those crafting effective and quality coaching relationships should ensure that there is shared vision between the coach and client, that both parties demonstrate compassion, and that the coach and client each infuse the relationship with positive energy and vitality to create relational energy.

Purpose: Risk is a multifaceted concept, and its identification requires complex approaches that are often misunderstood. The consequence is that decisions are based on limited perception rather than the full value and meaning of what risk is, as a result, the way it is being tackled is incorrect. The individuals are often limited in their perceptions and ideas and do not embrace the full multifaceted nature of risk. Regulators and individuals want to follow norms and checklists or overuse models, simulations, and templates, thereby reducing responsibility for decision-making. At the same time, the wider use of technology and rules reduces the critical thinking of individuals. We advance the automation process by building robots that follow protocols and forget about the part of risk assessment that cannot be programed. Therefore, with this study, the objective of this study was to discover how people define risk, the influencing factors of risk perception and how they behave toward this perception. The authors also determine how the perception differed with age, gender, marital status, education level and region. The novelty of the research is related to individual risk perception during COVID-19, as this is a new and unknown phenomenon. Methodology: The research is based on the analysis of the self-administered purposely designed questionnaires we distributed across different social media platforms between February and June 2020 in Europe and in some cases was carried out as a interview over communication platforms such as “Skype,” “Zoom” and “Microsoft Teams.” The questionnaire was divided into four parts: Section 1 was designed to collect demographic information from the participants; Section 2 included risk definition statements obtained from literature and a preliminary discussion with peers; Section 3 included risk behavior statements; and Section 4 included statements on risk perception experiences. A five-point Likert Scale was provided, and participants were required to answer along a scale of “1” for “Strongly Agree” to “5” for “Strongly Disagree.” Participants also had the option to elaborate further and provide additional comments in an open-ended box provided at the end of the section. 466 valid responses were received. Thematic analysis was carried out to analyze the interviews and the open-ended questions, while the questionnaire responses were analyzed using various quantitative methods on IBM SPSS (version 23). Findings: The results of the analysis indicate that individuals evaluate the risk before making a decision and view risk as both a loss and opportunity. The study identifies nine factors influencing risk perception. Nevertheless, it must be emphasized that we can continue to develop models and rules, but as long as the risk is not understood, we will never achieve anything.