From service design thinking to the third generation of activity theory: a new model for designing AI-based decision-support systems.

Introduction: The rise of Artificial Intelligence (AI), particularly machine learning, has brought a significant transformation in decision-making (DM) processes within organizations, with AI gradually assuming responsibilities that were traditionally performed by humans. However, as shown by recent findings, the acceptance of AI-based solutions in DM remains a concern as individuals still strongly prefer human intervention. This resistance can be attributed to psychological factors and other trust-related issues. To address these challenges, recent studies show that practical guidelines for user-centered design of AI are needed to promote justified trust in AI-based systems. Methods and results: To this aim, our study bridges Service Design Thinking and the third generation of Activity Theory to create a model which serves as a set of practical guidelines for the user centered design of Multi-Actor AI-based DSS. This model is created through the qualitative study of human activity as a unit of analysis. Nevertheless, it holds the potential for further enhancement through the application of quantitative methods to explore its diverse dimensions more extensively. As an illustrative example, we used a case study in the field of human capital investments, with a particular focus on organizational development, which involves managers, professionals, coaches and other significant actors. As a result, the qualitative methodology employed in our study can be characterized as a "pre-quantitative" investigation. Discussion: This framework aims at locating the contribution of AI in complex human activity and identifying the potential role of quantitative data in it.

From risk to resilience: Climate change risk, ESG investments engagement and Firm's value.

In line with Sustainable Development Goals, firms are increasingly incorporating Environmental, Social, and Governance (ESG) considerations in their investment strategies. The effect of firms' climate change risk (FCCR) on firms' Value (FV), and how such investment engagements moderate this effect, is a prominent subject of debate among scholars, investors, and policymakers. To examine these dynamics, we analyze a dataset of 1771 United States (US)-listed firms from 2006 to 2021 to quantify the effect of FCCR on FV. We use the generalized method of moments model to achieve our objectives. The major findings are summarized as follows: First, FCCR has a negative and significant effect on FV. Second, ESG investments positively and significantly influence FV. Third, ESG investments significantly moderate the FCCR-FV relationship. We confirm our estimations are robust under different estimations strategies. Finally, this article provides a fresh perspective on risk management with significant policy implications for investors, managers, and regulators in the US. We suggest that ESG investing is an important strategic catalyst for US firms.

An examination of motivation factors driving investor behaviours towards socially responsible community energy initiatives.

Community energy initiatives play a significant role at the grassroots level in the transition to Renewable Energy Communities and a low-carbon economy. However, these initiatives are hampered by multiple barriers at the market, institutional, organisational, and individual level. Funding cuts of state-supported feed-in tariff (FiT) policy in major markets such as Germany, Japan, China and the additional capping of the number of new installations that could be accredited under the FiT scheme in the UK. In light of these market changes and the need to accelerate the development and growth through the creation of new and/or complementary future community energy models consisting of private investors, a detailed understanding of the dynamics of community energy investor characteristics and socio-psychological motivations is increasingly important. First, a review is conducted including the theories that underpin and explain the factors that affect investor behaviour, after which a conceptual framework to examine investor behaviours towards socially responsible community energy initiatives is developed. The framework is used as the basis to construct and administer a survey involving sampling of 295 UK investors in community energy initiatives and the subsequent statistical analysis of the survey data and discussions of the findings. The results first capture the differences among investors with differing regional affect and investment behaviours. The study also provides the needed insight into better understanding the dynamics of investor characteristics and motivations of community energy initiatives. Results also indicate that investors are predominantly ethically-oriented, particularly toward environmental concerns. Additionally, community and social factors also appear to play significant roles in investor participation while financial orientation is least dominant.

Sibling spillovers and the choice to get vaccinated: Evidence from a regression discontinuity design.

We investigate the effects of introducing population-wide free-of-charge Human Papillomavirus (HPV) vaccination programs on the targeted adolescent cohorts and their siblings. For identification, we rely on regression discontinuity designs and high-quality Danish administrative data to exploit that date of birth determines program eligibility. We find that the programs increased the HPV vaccine take-up of both the targeted children (53.2 percentage points for girls and 36.0 percentage points for boys) and their older same-sex siblings (4.5 percentage points for sisters and 3.5 percentage points for brothers). We show that while the direct effects of the programs reduced HPV vaccine take-up inequality, the spillover effects, in contrast, contributed to an increase in vaccine take-up inequality highlighting the potential importance of spillover effects in the determination of distributional consequences of public health programs. Finally, we find some evidence of cross-vaccine spillovers.

Foreign investments and load capacity factor in BRICS: the moderating role of environmental policy stringency.

This research examines whether environmental regulations have a moderating effect on the link between foreign direct investment and the environment, as well as the effect of foreign capital investments on environmental quality for BRICS nations. In this approach, using second-generation panel data methodologies for the period 1992-2020, the impacts of foreign direct investments, real national income, consumption of renewable energy, and environmental stringency index on the load capacity factor are explored in the base empirical model. In order to test if there is any evidence of a potential parabolic link between economic growth and environmental quality, the model also includes the square of real national income. In addition, in the robustness model, the moderating role of environmental policy on foreign investment and environmental quality is checked. Empirical results show a U-shaped association between environmental quality and economic development. The usage of renewable energy and the environmental stringency index is also shown to improve environmental quality, although foreign direct investments decrease it. Finally, it is determined that environmental regulations are effective in undoing the negative impacts of foreign capital investments on environmental quality, demonstrating the validity of their moderating function.

Association between property investments and crime on commercial and residential streets: Implications for maximizing public safety benefits.

Physical property investments enhance public safety in communities while alleviating the need for criminal justice system responses. Policy makers and local government officials must allocate scare resources for community and economic development activities. Understanding where physical property investments have the greatest crime reducing benefits can inform decision making to maximize economic, safety, and health outcomes. This study uses Spatial Durbin models with street segment and census tract by year fixed effects to examine the impact of physical property investments on changes in property and violent crime over an 11-year period (2008-2018) in six large U.S. cities. The units of analysis are commercial and residential street segments. Street segments are classified into low, medium, and high crime terciles defined by initial crime levels (2008-2010). Difference of coefficients tests identify significant differences in building permit effects across crime terciles. The findings reveal there is a significant negative relationship between physical property investments and changes in property and violent crime on commercial and residential street segments in all cities. Investments have the greatest public safety benefit where initial crime levels are the highest. The decrease in violent crime is larger on commercial street segments, while the decrease in property crime is larger on residential street segments. Targeting the highest crime street segments (i.e., 90th percentile) for property improvements will maximize public safety benefits.

Heterogeneous effects of emigration on labor market activity and investment decisions in Punjab, Pakistan.

We investigate the impacts of emigration on the labor market and investment decisions of migrant-sending households in Pakistan by constructing a large individual-level dataset, using several rounds of the Multiple Indicator Cluster Survey conducted between 2003 and 2014. We add to the literature by introducing a new time-varying instrumental variable to control for endogenous migration decisions, constructed as a composite of three variables that represent opportunities to work abroad: (i) the household's number of adult males, (ii) historic diaspora rates, and (iii) deviations of nighttime light intensity from its trend in migrant-receiving countries. We find a significant shift in domestic labor market activity from lower-status employment categories (not working at all, unpaid family work and manual labor) toward higher-status activities and entrepreneurship such as self-employment and becoming an employer within migrant-sending households. We also find higher investment in property, bank deposits, agricultural land, livestock, poultry and fisheries by individuals in migrant-sending households. The results are stronger for vulnerable groups, implying that migration can be a force for good for rural development, the welfare of women, and less-educated individuals.

How the implementation of internal carbon pricing impacts on carbon reduction: facilitating or hindering.

A growing number of companies are incorporating internal carbon pricing into their climate management strategies, making it one of the ways in which the private sector can combat carbon emissions and respond to the climate crisis. In this study, we used the synthetic control method in an attempt to discover whether the implementation of internal carbon pricing has an impact on the carbon reduction of typical firms at an individual level. As some of the firms cannot be properly fitted, statistical approaches were then applied to the S&P 500 constituent firms to test if there is any correlation between the emission cuts and internal carbon pricing. We also conducted a channel analysis. Through examining three possible channels, internal carbon pricing is found to affect firms' carbon reduction mainly through two channels, namely the level of energy intensity and R&D investments. Among them, the energy intensity plays a positive mediating role between emission reduction and internal carbon pricing. As to another channel, contrary to expectations, internal carbon pricing, to some extent, suppresses the R&D investments which will promote carbon emission reduction. That is, the size of R&D investments has masking effects in the relationship between emission cuts and internal carbon pricing. Our findings contribute to researches on the carbon pricing, emission reduction, and climate management efforts from the private sector and have implications for practices.

Expecting the Unexpected: Entropy and Multifractal Systems in Finance.

Entropy serves as a measure of chaos in systems by representing the average rate of information loss about a phase point's position on the attractor. When dealing with a multifractal system, a single exponent cannot fully describe its dynamics, necessitating a continuous spectrum of exponents, known as the singularity spectrum. From an investor's point of view, a rise in entropy is a signal of abnormal and possibly negative returns. This means he has to expect the unexpected and prepare for it. To explore this, we analyse the New York Stock Exchange (NYSE) U.S. Index as well as its constituents. Through this examination, we assess their multifractal characteristics and identify market conditions (bearish/bullish markets) using entropy, an effective method for recognizing fluctuating fractal markets. Our findings challenge conventional beliefs by demonstrating that price declines lead to increased entropy, contrary to some studies in the literature that suggest that reduced entropy in market crises implies more determinism. Instead, we propose that bear markets are likely to exhibit higher entropy, indicating a greater chance of unexpected extreme events. Moreover, our study reveals a power-law behaviour and indicates the absence of variance.

The benefits of banks' IT investments in times of trouble: evidence from loan loss accruals during the COVID-19 pandemic.

Motivated by diverging results from the literature, we investigate whether investments in information technology (IT) help banks to assess their loan portfolio. More specifically, we focus on the consequences of accumulated expenses for data processing on banks' ability to estimate their loan loss accruals. We further test for differences when the banks' borrowers get hit by the economic trouble from the COVID-19 pandemic. Using a sample of US commercial banks before and during the COVID-19 pandemic, we find more precise estimates of loan loss accruals during these troublesome times in banks that accumulated higher data processing expenses. Surprisingly, we do not find significant differences in the precision of loan loss accruals by banks' IT investments during normal times. Our findings contribute to consolidate previously diverging results by showing that IT investments help banks following a structural break, such as the COVID-19 pandemic.

Mapping the European cancer prevention research landscape: A case for more prevention research funding.

Despite the strong evidence of prevention as a prime defence against the disease, the majority of cancer research investment continues to be made in basic science and clinical translational research. Little quantitative data is available to guide decisions on the choice of research priorities or the allocation of research resources. The primary aim of the mapping of the European cancer prevention research landscape presented in this paper is to provide the evidence-base to inform future investments in cancer research. Using bibliometric data to identify funders that are active in prevention research in Europe and in the world, we have identified that 14% of cancer research papers had a focus on prevention research and those were funded by 16% of all the European cancer research funders. An important finding of our study is the lack of research on primary prevention with primary prevention funders accounting for 25% of European cancer prevention funders, meaning that less than 4% of all European cancer research funders identified show an interest in primary prevention. An additional analysis revealed that 7% of European cancer prevention research papers are categorised as implementation projects, meaning that only 1% of all cancer research publications are implementation research in cancer prevention. This paper highlights that the narrow focus on biology and treatment in Europe needs to be widened to include such areas as primary prevention and secondary prevention and a larger concentration on implementation research. These data can help support a more policy-focused cancer research agenda for individual European governments and charitable and philanthropic organisations and stimulate joining efforts across Europe to create a more systematic and structured approach to cancer prevention.

Paid family leave and parental investments in infant health: Evidence from California.

This paper evaluates the effect of Paid Family Leave (PFL) on breastfeeding and immunizations- two critical parental investments in infant health - which we identify using California's 2004 PFL policy that ensured mothers up to six weeks of leave at a 55% wage replacement rate. We employ difference-in-difference and difference-in-difference-in-differences models for a large, representative sample of children (N = 314,532) born between 2000 and 2013 drawn from the restricted-use versions of the 2003-2014 National Immunization Surveys. Our most conservative estimates indicate that access to PFL is associated with at least a 15% increase in breastfeeding exclusively for at least six months. We find substantially large effects for disadvantaged mothers, adding to the existing evidence that access to state-sanctioned paid family leave might benefit children overall and disadvantaged children in particular.

Impact of renewable energy investments in curbing sectoral CO2 emissions: evidence from China by nonlinear quantile approaches.

The study analyzes the impact of renewable energy investments (RENIV) on the environment in China. In doing so, the study uses sectoral carbon dioxide (CO2) emissions as the environment indicator, considers RENIV as the explanatory variable, includes monthly data from 2004/1 to 2020/6, runs quantile on quantile regression approach as the fundamental model, and further performs quantile regression for the controlling. The study reveals that RENIV curb CO2 emissions in all sectors at higher levels of sectoral CO2 emissions. Also, RENIV have a varying impact based on quantiles and sectors. Moreover, the results are robust based on the alternative approach. Thus, RENIV have a significantly decreasing impact on sectoral CO2 emissions in China. Accordingly, China policymakers should continue to focus on providing a decrease in energy and industrial sector CO2 emissions as the highest emitting sectors.

Cross-country comparison: does social democratic party power increase an employee's perceived employability?

Individuals strive to be highly employable, yet, we lack a uniform definition of 'employability'. Within the labour market, employability can be seen as a product of individual human capital resources. However, this study argues that employability is also affected by the structure of the labour market and therefore also considers a country's economic situation and political power to quantify employees' perceived employability. Using data from the International Social Survey Programme, the Manifesto Project Dataset, and the International Labour Organization, this study uses a multilevel regression model with data from 30 countries. This paper disentangles the impact of individual careers and country policies (micro-macro linkage) on the perceived employability of their employees. At the individual level, initial education is the main predictor of employees' current perceived employability, but vocational training is not. At the country level, the share of social democratic party power in each country, as a driver of active labour market policies, has a net effect on employee's perceived employability, irrespective of their individual human capital investments. The generalisability of the findings is relevant to current debates about whether workers should become managers of their own careers or whether policymakers should take responsibility.

Water utility engagement in wildfire mitigation in watersheds in the western United States.

Scaling up climate-adaptation in wildfire-prone watersheds requires innovative partnerships and funding. Water utilities are one stakeholder group that could play a role in these efforts. The overarching purpose of this study was to understand water utility engagement in wildfire mitigation efforts in the western United States. We conducted an online survey of water utilities in nine states and received 173 useable responses. While most (68%) respondents were concerned or very concerned about future wildfire events and the impact of wildfire on their operations, only 39% perceived their organization as responsible for mitigating wildfire risk. Federal land ownership decreased feeling responsible for wildfire mitigation, while concern for and information on wildfire increased feeling responsible for mitigation. The perception of response efficacy of mitigation actions for the 68 water utilities engaged in wildfire risk mitigation activities was very high, with most agreeing that mitigation actions are effective. Self-efficacy to implement mitigation actions, however, was mixed, with most utilities wanting more information on wildfire risk and impacts to watershed services. The most reported wildfire mitigation actions were forest thinning and stream restoration. Water utilities engaging in these actions typically partnered with government agencies or other water utilities to complete the work and funded these activities through water user fees and grants. Our findings suggest that water utility engagement in wildfire mitigation for water security could be increased through providing more assessments of wildfire risk to water utilities and through more outreach and engagement with water utilities operating on federal lands.

Large-scale agricultural land investments and food security in Nigeria.

The study examines how large-scale agricultural land investments (LIs) affect household food security in Nigeria. It is one of the few studies in Nigeria that offers new empirical insights into household food security. Precisely, it unravels how LIs affect the livelihood outcomes of households in communities where LIs operate compared to households in communities without such LIs. This study engages the mixed methods of analysis involving quantitative and qualitative techniques. The quantitative data is drawn from the Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) utilising the Logistic regression technique. The qualitative aspect of this study involved fieldwork conducted in two distinct Nigerian states: Kwara State, situated in the North-Central region, and Ogun State, located in the South-West region. The qualitative findings further enrich the quantitative findings. It also helped to investigate the nature of jobs households engaged in and also the employment density of the investors' farms which could not be done using the national representative data (LSMS). The results indicate that households in communities without land investments have 0.2% higher likelihood of being more food secure than households in communities with land investments and it is significant at 5%. The qualitative analysis reveals several key insights, including the observation that female headed households in communities with LIs are less likely to be food secure, receive less wages, and spend more time in communities with LIs. Government should put in place policies (for example, compensation policies) that will ensure that land deals are properly monitored and structured to benefit and protect the host communities. If the government fails to properly regulate land deals, rural people will always suffer. Also, they should monitor and control the activities, and the type of crops grown in investment farms so that land investments can bring about the desired benefits such as improvement in household livelihood and enhance food security in the communities where they exist.

Assessing physical activity promotion in different settings and how its associated with public participation during COVID-19 epidemic: evidence from national policy evaluation.

BACKGROUND: Various interventions, programs and policies have been implemented to improve physical activity (PA) levels worldwide. However, countries continue to face barriers and challenges in achieving their targets. To date, there is a lack of study on the evaluation of physical activity (PA) promotion and how it's associated with public participation. METHODS: This study assessed PA promotion in eight different settings in terms of policy availability, policy implementation, and public participation in PA programs. Policy availability was assessed by reviewing 384 policy and strategy documents, rules, regulations, legislation, and guidelines on PA. We scored the documents by using the Comprehensive Analysis of Policy on Physical Activity (CAPPA) framework. Data to assess policy implementation and public participation were taken from the Thailand Report Card Survey 2021 (TRC2021), and the Thailand Surveillance on Physical Activity (SPA) 2021. Both surveys comprised over 5,000 nationally-representative samples from on-screen, face-to-face interviews, and an online self-administered survey. We scored the policy implementation and public participation based on respondents' response towards policy implementation and participation indicators. A grading scheme was applied to indicate how successful an investment has been made. RESULTS: Public education and mass media received the highest average score in policy availability, implementation and public participation in PA program (67.9%, grade B), followed by active urban design (66.1%, grade B-) and active transport (63.7%, grade B-). Workplace, whole-of-school, and community-wide initiatives were the investments with the lowest scores, implying low availability, limited implementation, and less accessibility to public. Females were less likely to participate in active transport, active urban design, sports/recreation for all, workplace activity, and community-wide initiatives. Age and educational attainment were consistent predictors of utilization in all investments. CONCLUSIONS: With varying degrees of policy availability and accessibility, public participation in PA investments is likely to be constrained by biological and socioeconomic inequality. Future investments should aim at providing generalized or tailored interventions to ensure equal access and participation for all segments of the population.

Tracking global resources and capacity for health research: time to reassess strategies and investment decisions.

The COVID-19 pandemic and more recently the Monkeypox outbreak emphasize the urgency and importance of improving the availability and equitable distribution of resources for health research across rich and poor countries. Discussions about the persistent imbalances in resource allocation for health research between rich and poor countries are not new, but little or no progress has been made in redressing these imbalances over the years. This is critical not only for emergency preparedness, but for the worlds' ability to improve population health in an equitable manner. Concerned with the lack of progress in this area, Member States of the World Health Organization requested the establishment of a Global Observatory on Health Research and Development, with the aim of consolidating, monitoring and analyzing relevant information on health research and development, with a view to informing the coordination and prioritization of new investments. In this commentary, we highlight some of the striking disparities from the Observatory's analysis over the 5 years since its establishment and reflect on what is needed to overturn stagnant progress.

Green finance, renewable energy investments, natural resources, and sustainable economic advancements in China: evidence from pre-post COVID-pandemic.

Since the start of twenty-first century, the globe has bumped into several crises, such as the sudden rise of oil prices in 2003 and the large-scale global financial crisis in 2007-2008. However, the most recent COVID-19 outbreak has slowed fiscal progress and initiated instability in the prices of commodities-based natural resources. The instability of prices of natural resources attracted the focus of academicians and policymakers. Moreover, the recent pandemic also pushed up the need of green finance and renewable energy investment for renewable energy development. The current study, thus, explores sustainable economic advancements via natural resource rents, green financing, renewable electricity energy, and investment in renewable energy projects in China over the period of 2000 to 2023 including years of pre-post COVID-pandemic. The current paper used CCR (canonical cointegrating regression), DOLS (dynamic ordinary least squares), and FMOLS (fully modified ordinary least squares), for its empirical investigation. The results demonstrate the cointegration of first-differenced stationary variables in the longer run. The parameter of natural resource rents shows that the volatility of natural resource prices adversely influences the sustainable economic advancement of China. Findings also demonstrate that green finance strategy can simultaneously control the high-emission situation and increase economic development of country. Additionally, the findings reveal the positive effects of renewable electricity energy output, and investment in renewable energy projects for sustainable economic advancements.

Overview of policy and market dynamics for the deployment of renewable energy sources in Italy: Current status and future prospects.

In recent years, the international community has been strongly committed to promoting energy transition due to the various challenges presented by the global energy market. In this context, renewable sources have increasingly assumed a significant role, representing a viable solution to accelerate decarbonization and promote diversification of energy mix. This paper examines Italian energy profile, its status, and future prospects. Policies and incentives on a European and national scale have been analysed to observe the commitment of institutions in promoting energy transition. Policies and incentives on a European and national scale have been analysed to observe the commitment of institutions in promoting energy transition. Projections on future investments (2030) and economic and employment implications have also been provided. The analysis shows that shared investments are essential to achieve climate goals in the short term and that existing plants need to be converted through the use of new, more effective, cost-efficient technologies. Thus, innovation and investments in research and development are key drivers of energy transition, and with proper management, climate change mitigation can be ensured. The analysis provides some useful implications for policymakers who should ensure tax incentives, feed-in tariffs, and clear regulation at the national and regional levels that do not hinder the deployment of renewable energy infrastructure.