<abstract xmlns="http://www.w3.org/1999/xhtml">
This multi-site study measures different aspects of patient safety culture within selected secondary and tertiary care NHS hospitals by applying High Reliability Organisations (HRO) principles. We propose a new balanced definition of HRO within health setting with a new maturity grid, and use an instrument to survey various staff across hospitals. An electronic online questionnaire surveyed all staff grades across three NHS hospital trusts. The sample consisted of 1,243 randomly selected staff. We used a high reliability organisation (HRO) framework consisting of five dimensions to estimate maturity levels linked to patient safety culture to create a measurable and replicable process for benchmarking and improvement. The proposed maturity grid provides a clear and concise road map to support senior managers in formulating a patient safety strategy based on a higher level in maturity with respect to HRO five principles. The proposed methodology can also predict the likely direction of improvement, or deterioration, if no action is taken with respect to each of the HRO principles. Although healthcare leaders consider the principles of high reliability organisations (HROs) as a guide for strategy to improve patient safety, there is evidence that these principles are underused in the measurement and subsequent analysis of their impact on patient safety culture. Our approach provides a structured methodology that aims to contribute to streamlining implementation and monitoring of HRO principles towards improving safety and resilience.
</abstract>

Faculty of Science & Health, Department of Psychology

Faculty of Science and Health, University of Portsmouth

No Harm in Learning – A Balanced High Reliability Organisation (HRO) Approach in Healthcare

<abstract xmlns="http://www.w3.org/1999/xhtml">
Due to the fact that the planet’s resources are limited and human exploitation has led to unprecedented environmental pollution, sustainability has become a concept of great importance in recent years, especially in the context of very rapid and large-scale urban development. The green city is a form of sustainable city focused mainly on the creation of green spaces, which helps, among other things, to reduce pollution, to combat climate change and to create a more favorable environment for people. Green infrastructure is the main element that characterizes this type of sustainable city, the dynamics of the use of the term in specialized studies showing an upward trend. Interest in the notion of green city has seen a major increase in the last 8 years, highlighting the need to create a more nature-friendly way of urban development. The country that stands out regarding its contribution in terms of studies carried out on the theme of green city is China, while Romania is one of the countries where this subject is very little researched. A cluster analysis of cities in Romania, Denmark and Canada provides a valuable perspective, namely that Romanian cities are the most polluted and have very few green spaces per capita, suggesting the existence of problems with government policies to transform the cities into ones that respect the environment more.
</abstract>

Green and Smart Urban Development: A Comparative Studies Between Cities of Romania, Canada and Denmark

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This study presents an econophysics based approach to the study of lotteries. By treating lotteries as complex systems we analyse the guiding dynamics of real-world lotteries. We found that the growth of the jackpot, that can be won, between two successive draws is proportional to its preceding value. This growth is best described as a linear function with two parameters a and b reflecting foundational player pool sales and the excitement generated by the current jackpot respectively. A computer simulation considering additional parameters (such as the price of a ticket: s, and the format of the lottery: p) is used to study the statistical features of simulated lotteries covering a vast parameter space. This approach enables us to construct a detailed map of how various parameters influence lottery behaviour by examining the statistical characteristics of the simulated lotteries. The findings emphasize the need for thoughtful pricing strategies in real-world lotteries and suggest that simulations can assist organizers in making informed decisions.
</abstract>

Mapping the Parameter Space of Simulated Lotteries

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This article surveys the main effects of remittances on economic development. The focus is to emphasise how the money sent back by emigrants in their home countries impacts factors such as imports or foreign direct investment that can influence the economy’s evolution. All countries from European Union countries were included in the analysis, but we have been focusing on the post-communist EU countries, which were the focus of this article. The econometric model used is the multiple regression with the fixed-effect model (FEM) and the random effect model (REM) based on panel data. Our findings underline that remittances have a solid and significant influence on the economic development of emigration countries, especially among former communist countries. Finally, the research strengthens the current literature on remittances and economic development through an empirical analysis that focuses on recent data.
</abstract>

Global Connections: Examining the Role of Remittances in Economic development

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In today’s dynamic and interconnected business landscape, organizational performance optimization is imperative for sustained success. To achieve this, it is essential to discern and address the complex cause-and-effect relationships within an organization. This article introduces the Fuzzy Decision-Making Trial and Evaluation Laboratory (Fuzzy DEMATEL) method as a powerful tool for evaluating and enhancing organizational performance. The Fuzzy DEMATEL method, an extension of the traditional DEMATEL approach, accommodates the inherent ambiguity and uncertainty in real-world data, offering a more robust and accurate analysis. This method enables decision-makers to identify causal relationships among various factors impacting organizational performance, classify these factors as cause or effect, and quantify the degree of their influence using fuzzy logic.
</abstract>

Enhancing Organizational Performance Through The Fuzzy Dematel Method

<abstract xmlns="http://www.w3.org/1999/xhtml">
This study develops a scorecard validation model for evaluating key Artificial Intelligence (AI) indexes, aiming to provide a comprehensive framework for assessing the multifaceted nature of AI development. Focusing on four significant AI indexes and one AI report from 2021 to 2023, the research employs both expert judgment and advanced text mining techniques, including k-means clustering. This dual approach facilitates a detailed examination of AI indexes, highlighting their strengths, weaknesses, and overall market comprehensiveness. The findings contribute to understanding the AI sector’s evolution, offering critical insights for policy formulation and strategic decision-making in AI. Acknowledging the inherent subjectivity in the evaluation process and potential data biases, the paper suggests future research avenues, including cross-sectoral and regional analyses of AI trends and a deeper exploration of ethical considerations in AI. This study serves as a valuable resource for stakeholders navigating the complex AI landscape, providing a structured method for comparing and understanding AI advancements.
</abstract>

Clustering the AI Landscape: Navigating Global Insights from Leading AI Indexes

AHEAD OF PRINT

Volume 12 (2023): Issue 2 (December 2023)

Volume 12 (2023): Issue 1 (July 2023)

Volume 11 (2022): Issue 1-2 (December 2022)

Volume 10 (2021): Issue 1-2 (December 2021)

Volume 9 (2020): Issue 2 (December 2020)

Volume 9 (2020): Issue 1 (August 2020)

Volume 8 (2019): Issue 2 (December 2019)

Volume 8 (2019): Issue 1 (July 2019)

Journal of Social and Economic Statistics

 The Journal of Social and Economic Statistics (JSES) is an electronic open access journal that aims to publish original papers that make interesting and novel contributions to statistical theory and its applications to real life problems.  JSES is a publication of the Department of Statistics and Econometrics of the Bucharest Academy of Economic Studies.  The journal is published two times a year (Summer and Winter issues).  The Journal is indexed in the following databases: EBSCO, RePEc, and ERIHPLUS.  As information is increasingly gaining prominence in today’s globalised society, statistical methods represent a tool of constant interest and usage. There is a multitude of issues which deserve to be studied theoretically and empirically, which are useful for researchers, managers and policy makers alike.  To gain a more comprehensive and deeper understanding on how statistical methods can be conceptualized and understood, the Journal of Social and Economic Statistics aims to present new research on the theory and practice of statistics.  The goal of JSES is to bring together articles which contribute new research ideas in all areas of statistical science, the latest theoretical and applied research in statistics. JSES calls for contributions on how statistical methods can be conceptualized, developed and applied in social and economic practical settings. We welcome empirical papers, especially papers addressing insights from case study research, which can contribute to advancing our knowledge in this important area.  Theoretical, methodological and/or empirical research papers in any sector of the economy and society, qualitative and quantitative studies, as well as conceptual approaches are invited. Suitable topics include but are not limited to:   Theoretical, applied, computational or conceptual papers related to statistics and econometrics  Modelling and simulation  Studies that focus on how statistical methods can be employed to investigate microeconomic, macroeconomic, forecasting, business, and finance related topics  Decision analysis and decision techniques  Research methods   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 