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Nowadays, informed decision-making is catching up. Technological advancements and computing ability further fuel and facilitate this tilt toward informed decision-making. In such a scenario, data is cynosure. Therefore, the ability to gather data by a nation (incredibly accurate public data) becomes equally important and relevant, as measured by statistical performance indicators (SPI). This study aims to explore the association of financial inclusion (FI); environmental, social and governance (ESG); poverty; and SPI.

The panel data of 140 nations for nine years are gathered to explore the association of FI, ESG and poverty with the SPI. Panel data estimation is conducted to arrive at the results.

The findings of this study highlight mixed outcomes for FI. ESG is positively associated with SPI, but poverty is not associated with SPI. These findings imply that an increase in FI may reduce the statistical capacity of the nations. An increase in ESG increases the capacity. However, change in poverty does not influence the SPI. The recommendation based on this study’s outcome suggests auditing the FI and poverty vis-à-vis SPI to ensure SPI’s veracity and robustness in the long run.

The way in which the individual social, economic and environmental indicators influence the SPI needs to be tested to establish the veracity and robustness of the SPI, which is barely researched as observed in the literature.

The compressive strength of concrete depends on many interdependent parameters; its exact prediction is not that simple because of complex processes involved in strength development. This study aims to predict the compressive strength of normal concrete and high-performance concrete using four datasets.

In this paper, five established individual Machine Learning (ML) regression models have been compared: Decision Regression Tree, Random Forest Regression, Lasso Regression, Ridge Regression and Multiple-Linear regression. Four datasets were studied, two of which are previous research datasets, and two datasets are from the sophisticated lab using five established individual ML regression models.

The five statistical indicators like coefficient of determination (R²), mean absolute error, root mean squared error, Nash–Sutcliffe efficiency and mean absolute percentage error have been used to compare the performance of the models. The models are further compared using statistical indicators with previous studies. Lastly, to understand the variable effect of the predictor, the sensitivity and parametric analysis were carried out to find the performance of the variable.

The findings of this paper will allow readers to understand the factors involved in identifying the machine learning models and concrete datasets. In so doing, we hope that this research advances the toolset needed to predict compressive strength.

The growing attention to business ethics, integrity and respect for human rights at work has become increasingly relevant. Decent work is an important concept representing the promotion of human rights at work and business, the fulfilling and productive work maintained with social dialogue. This study aims to present the adaptation and validation of the Spanish version of the Decent Work Questionnaire (DWQ), allowing the decent work assessment in Spanish. Initially developed and validated for Portuguese-speaking countries, the DWQ’s Italian version was also recently adapted and validated.

The 31-item scale was applied to a sample of 1,528 Spanish high-skilled workers. Confirmatory factor analysis (CFA) was performed. Convergent and discriminant validity was tested, examining the links of the DWQ to Work Engagement and Burnout measures.

CFA confirmed the original higher-order model with seven factors, a very good model fit and good internal consistency reliability (α = 0.94). Statistical analyzes also supported its convergent and discriminant validity.

The results confirmed the DWQ’s Spanish version as a reliable and valid multidimensional measurement tool and strengthened it as a good cross-cultural measure of decent work.

La creciente atención a la ética empresarial, la integridad y el respeto de los derechos humanos en el trabajo ha sido un tema cada vez más relevante. El trabajo decente es un concepto importante que representa la promoción de los derechos humanos en el trabajo y en las empresas, como un trabajo gratificante y productivo mantenido a través del diálogo social. El presente estudio presenta la adaptación y validación de la versión en español del Cuestionario de Trabajo Decente (CTD), que permite evaluar el trabajo decente en español. Inicialmente desarrollado y validado para los países de habla portuguesa, la versión italiana del CTD también se adaptó y validó recientemente.

La escala de 31 ítems se aplicó a una muestra de 1528 trabajadores españoles altamente cualificados. Se realizó un Análisis Factorial Confirmatorio. La validez convergente y discriminante se probó examinando los vínculos del CTD con las medidas de Work Engagement y Burnout.

El Análisis Factorial Confirmatorio confirmó el modelo original de orden superior con 7 factores, con un muy buen ajuste del modelo y buena consistencia de confiabilidad interna (α = 0.94). También se apoyó su validez convergente y discriminante.

Nuestros resultados confirmaron la versión en español del CTD como una herramienta de medición multidimensional confiable y válida. También reforzaron la idea de que este instrumento es una buena medida intercultural del trabajo decente.

A crescente atenção à ética empresarial, integridade e respeito aos direitos humanos no trabalho tem sido um tema cada vez mais relevante. O trabalho digno é um conceito importante que representa a promoção dos direitos humanos no trabalho e nas empresas, assim como o trabalho realizante e produtivo mantido com o diálogo social. O presente estudo apresenta a adaptação e validação da versão em espanhol do Questionário de Trabalho Digno (QTD), permitindo a avaliação do trabalho digno em espanhol. Inicialmente desenvolvido e validado para países de língua portuguesa, a versão italiana do QTD também foi recentemente adaptada e validada.

A escala de 31 itens foi aplicada a uma amostra de 1528 trabalhadores espanhóis altamente qualificados. A análise factorial confirmatória (AFC) foi realizada. A validade convergente e discriminante foi testada, examinando as ligações do QTD às medidas de Engajamento no Trabalho e Burnout.

AFC confirmou o modelo original de ordem superior com 7 fatores, com um ajuste de modelo muito bom e boa consistência interna de confiabilidade (α = 0,94). Também testamos sua validade convergente e discriminante. Ambas foram suportadas.

Nossos resultados confirmaram a versão em espanhol do QTD como uma ferramenta de medição multidimensional confiável e válida. Também reforçaram a ideia deste instrumento ser uma boa medida transcultural do trabalho digno.

This paper deals with analyzing the relationships between the domains of the Sustainable Development Goals (SDGs) and the Missions envisaged by the National Recovery and Resilience Plan (NRRP). Specifically, the authors refer to Mission 2 (Green revolution and ecological transition) and to the statistical indicators related to the M2C1 component (Circular economy and sustainable agriculture).

The numerous data available were analyzed at a regional level using multivariate statistical methodologies (Totally Fuzzy and Relative method) capable of summarizing the various information to evaluate the current situation relating to the “circular economy and sustainable agriculture” component. The presence of multiple updated data allows for the development of a holistic approach to the evaluation of the local government policies in place and to be able to monitor the progress of the subsequent intervention policies of the Italian government.

No Findings.

NRRP represents an opportunity for development for the area, providing for reforms and substantial investments for the promotion of circular economy solutions, the improvement of the capacity for efficient and sustainable waste management, the strengthening of the infrastructures for treatment of waste and separate collection, the reduction of the North/South gap.

In this study, a novel framework was proposed to assess the trust in e-government (e-Gov) services under an uncertain environment. The proposed framework was applied in Iranian municipality websites of e-Gov services to evaluate the readiness score of trust in e-Gov services.

A unique hybrid research methodology was proposed. In the first phase, a comprehensive set of indices were determined from an extensive literature review and finalized by employing the fuzzy Delphi method. In the second phase, interval-valued intuitionistic fuzzy set (IVIFS) -was utilized to model the problem's uncertainty with analytic called IVIFS- hierarchy process (AHP) to determine the importance of indices and indicators by assigning the weights. In the third phase, the fuzzy evaluation method (FEM) is followed for assessing the readiness score of indices in case studies.

The findings indicated that “Trust in government” is the most significant index affecting citizen's trust in e-Gov services while “Maintenance and support” has the least impact on user's intention to use e–Gov services.

The study contributes by introducing a unique research methodology that integrates three phases, including fuzzy Delphi, IVIFS AHP and fuzzy evaluation method. Moreover, the fuzzy sets theory helps to reach a more accurate result by modeling the inherent ambiguity of indicators and indices. Interval-valued intuitionistic fuzzy models the ambiguity of experts' judgments in an interval.

The study helps policy makers to monitor wider aspects of trust in e-Gov services as well as understanding their importance. The study enables policy makers to apply the framework to any potential case studies to evaluate the readiness score of indices and recognizing strengths and weakness of trust dimensions as well as recommending advice for improving the situation.

The study is one of the few to indicate significant indices of trust in e-Gov services in developing countries. The study shows the importance of indicators and indices by assigning a weight. Additionally, the framework can assess the readiness score of various case studies.

This paper seeks to assess the capabilities and maturity of supply chain planning and product quality management systems implemented by the dairy industries in three different countries: Russia, Kazakhstan, and Lithuania.

Through a systematic analysis of statistical information, the descriptors of the logistics supply chain efficiency were identified. Directions for dairy supply chain management improvement were also highlighted. The study uses secondary statistics from open sources as a basis for the comparative analysis across a range of indicators, including the Logistics Performance Index (LPI), the dairy products quantity, the production volume of milk and dairy products, and other indicators characterizing the dairy industry.

The results of this study suggest the inconsistency and narrowness of single indexes and ranking, which are traditionally used to evaluate the logistics system. LPI values confirmed that the internal efficiency of the Lithuanian logistics system exceeds similar systems in Russia and Kazakhstan.

In this paper, ways to improve supply chain management of dairy products in the context of globalization have been determined, the prerequisites for the formation of the perishable goods market according to the balance of supply and demand and the institutional mechanism of this process, which represents important information for all interested economic agents, have been analyzed.

The proposed approach points to the importance of having detailed information on the supply chain infrastructure and the need to introduce a single information space based on modern information and communication technologies.

The purpose of this research is to determine the nature of the relationship between sporting, financial performance and a stock price of football clubs by adopting the quarterly financial statements of the European clubs that represent the research sample: Juventus, Borussia Dortmund and Olympique Lyonnais, which helps clubs’ managers in evaluating the sporting and financial performance effect on the share price at the quarterly level.

The research is performed using the panel data technique, for Juventus, Borussia Dortmund and Olympique Lyonnais (2007–2016). The sporting performance is represented by the quarterly rate of the number of goals scored by the club to the number of goals scored against it; the quarterly rate of the number of wins to the total number of matches played by the club in local and international competitions. At the same time, financial performance is represented by the quarterly rate of current ratio, the quarterly rate of the leverage ratio, and the quarterly rate of earnings per share (EPS).

The analysis of the results was distributed at two levels: macro and micro. The analysis at the macro-level dealt with the correlation and influence between the sports performance indicators and the financial performance indicators of the three clubs combined on the share prices of those clubs. The micro-level performance is analyzed separately from the macro analysis. The results indicated that there was an effect on macro analysis. As for the microanalysis, the results showed no effect of the sporting performance of the three clubs on their share price.

The main implications of this research reveal the weakness of the correlation between the clubs' share price in the financial market, possibly due to the quarterly rate of the data. But there is a slight change for Juventus. There is a moderate correlation between the quarterly sporting performance indicators of this club and the quarterly average of its share price in the market.

The main implications of this research reveal the weakness of the correlation between the clubs' share price in the financial market, possibly due to the quarterly rate of the data. But there is a slight change for Juventus. There is a moderate correlation between the quarterly sporting performance indicators of this club and the quarterly average of its share price in the market.

The social implications of the current research are clear by dealing with the relationship between the sports and Financial performance of football clubs and its relationship to the price of its shares in the financial market. The success of football clubs in achieving sporting victory attracts more fans. This leads to an increase in the club's profits and consequently to an increase in the price of its shares in the financial markets. Therefore, the societal benefit will be achieved by increasing the enjoyment of the audience and increasing the revenues of the club and the city to which it belongs.

The originality of this research is represented in its use of quarterly data to clarify the relationship between the sporting and financial performance of a sample of European football clubs with the price of its shares in the financial markets. Therefore, this research differs from previous research that used only daily and annual data for clubs to clarify the relationship between their sporting and financial performance.

Commercial real estate (CRE) indicators typically include asset deals and exclude share deals. This study aims to explore the phenomenon of real estate share deals and assess whether omitting these transactions results in indicators that do not accurately reflect the market.

Various registers in the Netherlands were used to estimate transaction volumes, total values and price developments of both share and asset deals. Share deals are company transfers and its transactions cover more than real estate. To estimate the contribution of real estate in share deals, valuations were used.

In the Netherlands, share deals are most prominent for rental dwellings. Adding share deals to volume and value indicators seems required. In price development estimates, significant differences were found for dwellings between share and asset deals. Price indices should, therefore, also include share deals, but in practice this is difficult and has little impact on the outcomes due to the low weight of share deals.

Legislation has a major impact on choosing a share or asset deal. The significance of share deals is expected to vary amongst countries. Performing similar research in other countries will contribute in harmonising real estate indicators.

Statistical agencies face many challenges in the construction of CRE indicators. This study provides statisticians knowledge that can be used to evaluate possible data gaps.

This is the first study to estimate indicators of real estate share deals and compare these to asset deal indicators.

This paper aims to propose a tool to assess local public expenditure effectiveness based on a framework of alignment between outputs, outcomes and impacts – the Index of Municipal Expenditure Effectiveness (IMEE). This index is composed of a set of indicators associated with the typology of local expenditure.

The paper describes the methodological approach used in the development of the Index, considering the insights from the literature review and the opinion of a panel of experts. The indicators of outcomes and social impacts that are part of the Index are intentionally aligned with the UN Sustainable Development Goals (SDGs) as they provide an essential guide to assess public value creation in the current context. For simplicity purposes, three main components of municipal expenditure were considered, namely Education, Essential Public Services and Local Public Transportation. The Index is then illustrated through a pilot application, using data from five Portuguese municipalities.

This study argues that measuring the public expenditure effectiveness based on outcome and impact indicators can provide the data needed for local governments to better understand the effects of their activities over time, ultimately assessing their contribution to public value.

Assessing the impact of local spending is important to ensure the best use of public resources. Linking local public expenditures with the 2030 Agenda and the SDGs is a promising avenue to understand up to what extent the application of the public money is contributing to create public value by impacting on citizens’ lives.

The proposed IMEE contributes to addressing a gap identified in public organizations, including local governments, regarding the lack of consideration of expenditure and outcome/impact relationships, and the use of variables to measure long term impacts.

The purpose of the study is to evaluate the severity of public events in real time from the perspective of social media and to construct the early warning mechanism of public events.

This study constructed the severity assessment system of public events from the dimensions of the netizens' role, the Internet media's role, the spread of public events and the attitudes and feelings of netizens. The method of analyzing the influence tendency of the public event severity indicators was proposed. A total of 1,107,308 microblogging entries regarding four public events were investigated. The severity of public events was divided into four levels.

It is found that serious public events have higher indicator values than medium level events on the microblogging platform. A quantitative severity classification standard for public events was established and the early warning mechanism of public events was built.

Microblogging and other social media platforms provide rich clues for the real-time study and judgment of public events. This study only investigated the Weibo platform as the data source. Other social media platforms can also be considered in future.

Different from the ex-post evaluation method of judging the severity of public events based on their physical loss, this study constructed a quantitative method to dynamically determine the severity of public events according to the clues reflected by social media. The results can help the emergency management departments judge the severity of public events objectively and reduce the subjective negligence and misjudgment.