Organizational Modeling Research Articles

Optimizing health organization performance and patient care outcomes via predictive analytics: implications for data science and artificial intelligence research

PurposeThis commentary presents the analytic development of patient classification, health resource use and outcome research and identifies opportunities to perform longitudinal research.Design/methodology/approachThe authors use a transdisciplinary framework to formulate multilevel models for ascertaining the causal relationship between hospital efficiency and effectiveness in panel data analysis.FindingsThe longitudinal design of organization research enables to delineate the relationship between hospital performance and quality of care in future research.Research limitations/implicationsThe inclusion of multivariates in health organization research and modeling is pivotal to the identification of a comprehensive set of predictor variables. The authors signify the need to build a systems-oriented theoretical framework to integrate micro- and macro-level predictor variables in conducting data analysis.Practical implicationsThe authors signify the need to build a theoretical framework to integrate micro- and macro-level predictor variables in conducting data analysis.Social implicationsHealth organization research is essential to broaden the scope of health services research and policy development, particularly related to global health as noted in the promotion of sustainable development and health goals.Originality/valueHealth organization research should include a complex set of exogenous and endogenous variables in designing and modeling the determinants of hospital performance and patient care outcomes.

Construction and Validation of a Secure-base Leadership Model in Educational Organizations: A Mixed-methods Exploratory Study

There is no doubt about the importance of leadership and attachment styles on individual behavior and organizational outcomes. However, researchers have neglected to apply and integrate attachment concepts in management and organizational studies for years. One of the basic concepts in attachment theory is the secure base. In 2010, Coombe considered the application of this concept in leadership, which resulted in representing the theory of secure base leadership. The present study aimed at constructing and validating a secure base leadership model. The research method is a mixed exploratory method composed of qualitative and quantitative measures including thematic analysis and survey, respectively. The participants of the qualitative section were 14 faculty members, specialists, and experts in the field of educational management and psychology selected using the purposive sampling method and snowball technique. Besides, the participants of the quantitative part included 441 administrative staff and teachers in Tehran were by cluster sampling. Open, axial, and selective coding was used to analyze interview data in the former part, while in the latter, structural equations were used. The results of the qualitative analysis indicated that secure base leadership includes three main aspects, namely security (accepting people (acceptance), support, providing security, mutual trust, independence, fairness, staying calm (controlling and adjusting emotions)), exploration (risk-taking, increasing individual capacities, being responsive and sensible, intellectual stimulation), and deep intellectual bond (positive attitude, high emotional capacity, transparency in relationships, compatibility, being a good listener). Also, the quantitative part of the research results showed validity and reliability as well as a good fit of the proposed model.

Rehabilitation of Cardiovascular Diseases in China.

The Annual Report on Cardiovascular Health and Diseases in China (2022) intricate landscape of cardiovascular health in China. In connection with the previous section, this 12th section of the report offers a comprehensive analysis of rehabilitation of cardiovascular diseases. In recent years, China's cardiac rehabilitation has developed vigorously, and its clinical benefits have been proven by more and more evidences. More cardiac rehabilitation centers are built and standards are constantly being promoted. Despite the rapid development and progress, there are still major shortcomings in the current situation, such as lack of awareness among patients and families about the significance and importance of cardiac rehabilitation, and under participation in cardiac rehabilitation; the development of cardiac rehabilitation is uneven, with the majority concentrated in tertiary hospitals in economically developed areas; lack of high-level evidence-based evidences, quality control and safety standards need to be improved; the medical payment system is not thorough; lack of a systematic training and admission system, hindering the development of cardiac rehabilitation in China. Therefore, continuous efforts are needed to strengthen the construction of cardiac rehabilitation centers, which should sink from tertiary hospitals to secondary and primary medical service centers; encourage clinical research on cardiac rehabilitation; introduce consensus on quality control and safety standards; explore more on phase III cardiac rehabilitation; increase investment in integrating high-tech, artificial intelligence, etc. With the unique advantages of traditional Chinese medicine, exploring a Chinese characteristic cardiac rehabilitation model that is in line with China's national conditions. Evidence-based medicine has confirmed that rehabilitation is the most effective method to reduce the disability rate of stroke, and it is also an indispensable key sector in the organized management model of stroke. Rehabilitation should span the entire process of stroke treatment. Perfecting the rehabilitation medical management system, steadily improving the rehabilitation medical service capacity, expanding diversified service methods, and emphasizing early and whole-range rehabilitation treatment have important clinical value and social significance for stroke rehabilitation.

Towards a Data Governance Model for Enhanced Data Quality Management: A study of Public Sector Organizations in Guyana

Public sector organisations in Guyana recognise the need to handle and manage sensitive data properly. Proper data governance is the solution. Identifying the factors that would influence the design of data governance models helps to ensure the creation of a solid model and data quality management. This study accumulated factors from the literature and presented them to IT professionals in Guyana. The Contingency Model served as a base for the identified factors to work together to create a company-specific model for data quality management. Thematic analysis was employed to analyse nine (9) interview transcriptions from medium to high-level personnel across different public sector organisations in Guyana. The factors identified were refined to the Guyanese context. Culture emerged as an indigenous factor in this study. This research resulted in an emergent model that can now be used to design data governance models for public sector organisations in Guyana

Students’ subjective perceptions of extremism in the Russian Arctic

Young people are a traditional risk group for radicalization and involvement in protest and extremist activities. The relevance of this topic is due to the growing threat of youth radicalization, the expansion of the activities of extremist organizations, and the need to organize high-quality preventive work in educational organizations at various levels. The article provides an overview of research on the topic under consideration and also presents the results of a series of surveys in general educational institutions and organizations of secondary vocational education (n = 11,052), universities (n = 3966) located in the Arctic zone of the Russian Federation. The results of the study on aspects of students’ ideas about extremism are presented in terms of assessing their own knowledge about extremism, the presence/absence of radically minded people around them, determining the degree of threat from the activities of extremist groups for themselves and their social environment, and identifying approaches to preventing the growth of extremism in society. Conclusions are drawn about the need to improve preventive work models in educational organizations towards a targeted (group) approach.

Design a knowledge-based governance model in executive organizations

Design a knowledge-based governance model in executive organizations

The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations

Calls to use open generative language models in academic research have highlighted the need for reproducibility and transparency in scientific research. However, the impact of generative AI extends well beyond academia, as corporations and public interest organizations have begun integrating these models into their data science pipelines. We expand this lens to include the impact of open models on organizations, focusing specifically on fact-checking organizations, which use AI to observe and analyze large volumes of circulating misinformation, yet must also ensure the reproducibility and impartiality of their work. We wanted to understand where fact-checking organizations use open models in their data science pipelines; what motivates their use of open models or proprietary models; and how their use of open or proprietary models can inform research on the societal impact of generative AI. To answer these questions, we conducted an interview study with N=24 professionals at 20 fact-checking organizations on six continents. Based on these interviews, we offer a five-component conceptual model of where fact-checking organizations employ generative AI to support or automate parts of their data science pipeline, including Data Ingestion, Data Analysis, Data Retrieval, Data Delivery, and Data Sharing. We then provide taxonomies of fact-checking organizations' motivations for using open models and the limitations that prevent them for further adopting open models, finding that they prefer open models for Organizational Autonomy, Data Privacy and Ownership, Application Specificity, and Capability Transparency. However, they nonetheless use proprietary models due to perceived advantages in Performance, Usability, and Safety, as well as Opportunity Costs related to participation in emerging generative AI ecosystems. Finally, we propose a research agenda to address limitations of both open and proprietary models. Our research provides novel perspective on open models in data-driven organizations.

Artificial evolution summer school and winter camp: An organized early talent development model for innovation

Artificial evolution summer school and winter camp: An organized early talent development model for innovation

Analysis of existing management models in organizations using digital technologies

Analysis of existing management models in organizations using digital technologies

Выбор элемента(ов) прототипа модели медицинской организации в целях оптимизации процессов регионального проекта с использованием методов динамического программирования.

Changes in federal legislation regulating the provision of patients suffering from cardiovascular diseases initiate a revision of the regional legislation, and inevitably raises questions of practical adaptation and optimization of the processes of ongoing projects, taking into account resources in the established management model in medical organizations. Finding elements of a prototype model of a medical organization implementing a regional project as objects of influence for theoretical proof of hypotheses using the dynamic programming method (callback function, recursion) is the task of optimizing the project processes considered in this article. The purposeof the research question was to optimize the processes of a regional project using the dynamic programming method, which is focused on finding the objective function F(i) – the number of ways to return the function. The subgoal was to justify the use of dynamic programming methods. Materials and methods. The information base for the study was federal and regional regulatory legal acts published in the legislative reference and legal systems of the Russian Federation, and electronic resources. The study was carried out using methods of dynamic programming, optimization, recursion, and modeling. Results. We did not find similar studies in the available literature. This study was carried out using the dynamic programming method, which is designed to solve the problem of finding the target function(s) F(i) of regional projects. The authors attempted to find a prototype of an operating procedure at the level of project executors, which is indivisible and elementary for subsequent optimization of the variable (non-constant) elements of the prototype of a medical organization model from the found objective function. Finding F(i) by categories of patients (object of influence) registered at the dispensary, obtained using the callback function F(0), F(1), F(2), F(3), …F(k); F (0) ←F (1) ←F (2) ← F (3) ……F(n‑1) ← Fn (recursion) consists of decomposing the problem into smaller subproblems, finding the optimal solution to the subproblems recursively and using the resulting solution subtasks for constructing a solution to the original problem – optimizing an element of a prototype model of a medical organization, a regional project as a whole. Conclusion. The main tasks associated with project optimization are the tasks of minimizing the cost of the project for a given deadline for its implementation and minimizing (maximizing) the project completion period for a given marginal cost of its implementation. In search of a solution to optimization issues, the authors proposed finding F(i) by categories of patients (object of influence) registered as “D”, obtained using the callback function F (0) ←F (1) ←F (2) ← F (3) ……F(n‑1) ← Fn (recursion).

ASSESSMENT OF COMPONENTS OF THE INTERNAL CONTROL SYSTEM FOR THE PURPOSE OF RISK MANAGEMENT OF ORGANIZATIONS

An effective internal control system is closely related to the risk management of the organization, namely, it reduces the risks of failure to achieve the set goals and, according to the COSO concept, provides reasonable assurance of their achievement. The subject of the study is the assessment of the components of the internal control system for the purpose of risk management of organizations. The object of the study is the internal control system of the organization. The article raises the problem of developing a methodology for assessing the formation of all components of the ICS in accordance with the COSO model. The problem lies in the insufficient number of studies on the systematization of control procedures for each component of the ICS in the context of assessing the system, describing standard and non-standard situations that must be responded to promptly and how to assess such situations in the context of internal control and risk management through qualitative indicators that are not measurable. Model. To substantiate the methodology for assessing the formation of all components of the ICS in accordance with the COSO model, the criterion for assessing and measuring non-financial indicators of financial stability of organizations is presented. The study uses the grouping method, which allows studying the interrelations of phenomena, as well as their interdependencies, to identify the influence of certain factors and trends. The article uses the comparative method as the most common method of analysis, as well as the methods of induction and synthesis. Conclusions. The methodology for assessing the formation of ICS components in accordance with the COSO model in organizations is of theoretical significance in terms of developing scientific and theoretical provisions concerning the construction of internal control and improving the effectiveness of ICS, as well as practical significance in the context of applying the developed package of documents. Practical significance. As a result, the methodology for assessing the formation of all ICS components in accordance with the COSO model was substantiated, a number of documents were developed that systematized the indicators for assessing the ICS components, including non-financial indicators. It is proposed to form a map of typical situations: standard and non-standard, as well as situations with increased complexity, allowing you to create new algorithms for action to reduce risk. Originality. The author's contribution is to develop a methodology for assessing the formation of all ICS components in accordance with the COSO model.

(Invited) Point-of-Care Biomembrane-Based Electronic Sensors

The development of medical devices that comply with the soft mechanics of biological systems at different length and complexity levels is highly desirable. With the emergence of conducting polymers exciting directions opened up in bioelectronics research, bridging the gap between traditional electronics and biology. With the ultimate goal of fully integrated devices, organic bioelectronic technologies have been heavily explored the past decade resulting in novel materials/device configurations. Multiplexing capability, ability to adopt to complex performance requirements in biological fluids, sensitivity, stability, literal flexibility and compatibility with large-area processes are only some of the merits of this technology for biomedical applications. A recent example of a bio-integrated electronic device, the BiOET, is based on polymeric semiconductor technology and is fabricated using nano/micro-fabrication methods in conjunction with synthetic biology approaches to incorporate hierarchically organized biological models of the cell membrane. Despite their significance, cell membranes are still an underexplored target for studying the mechanisms of diseases or drug therapies. Cell-free commercially available technologies for cell membrane studies have been limited to synthetic membranes that lack the inherent complexity found in the membrane of the cell. In this talk I will describe a method to create native cell membranes, using vesicles derived from live cells, on top of conducting polymer- based microfabricated electrodes and transistors. The activity of transmembrane proteins in response to different stimuli can be electrically monitored, offering a direct means to characterize drug toxicity or potency at the critical first contact point: membrane interaction.

A visualized and bibliometric analysis of nursing research during the COVID-19 pandemic.

The global spread of Coronavirus disease 2019 (COVID-19) has been increasing since December 2019. A total of 8460 publications were obtained from the Web of Science Core Collection from 2019 to 2023, providing insights into the progress of nursing research throughout the COVID-19 pandemic. Bibliometric analysis was conducted on these articles using CiteSpace. The analysis focused on examining the distribution of these publications in terms of space and time, distribution of authors, subject categories, distribution of topics, and cited references. These results may be explained from 3 perspectives. Initially, the number of yearly publications on nursing research consistently increased during the COVID-19 pandemic. Furthermore, a co-occurrence analysis of the countries and the authors revealed that certain countries, including the United States, China, and England, have successfully implemented organized and standardized nursing models. These countries also have well-developed and established nursing research systems. Notably, academic communities in specific regions, such as the team led by MD Stefan Gravenstein, Mor Vincent, and White Elizabeth at Brown University in the United States, have emerged as leaders in this field. Furthermore, examining the papers' subject categories and topic distribution indicate that nursing during the COVID-19 pandemic has been predominantly interdisciplinary, encompassing various disciplines such as clinical medicine, essential medicine, psychology, public health management, and even telematics science. Our study provided valuable insights into acquiring knowledge on nursing research during the COVID-19 pandemic, pinpointed possible partners for researchers interested in nursing, and uncovered prevalent research patterns and popular subjects.

The impact of blockchain on Brazilian public procurement processes from the perspective of transaction costs: scenarios as perceived by experts

PurposeThis paper aims to explore the impacts of a blockchain network implementation to support purchasing processes of a Brazilian public organization.Design/methodology/approachThe Grumbach method was used to build the scenarios. Five experts with knowledge in blockchain and experience in public procurement were consulted on 20 possible preliminary events, defining their probability of occurrence and relevance. The data obtained were processed in Puma software, which returned a selection of ten definitive events, based on probability, relevance and standard deviation indicators, generating a map of prospective scenarios.FindingsThree following scenarios are shown, the ideal scenario, the one with greater implantation benefits and fewer complications; the trend scenario, more likely to occur under current conditions; and the most likely scenario of occurrence, according to experts. The results indicated which simulated events are drivers (motives), and which are influenced (dependent). They were categorized as opportunities or threats to the deployment of the technology.Research limitations/implicationsAlthough public procurement processes are standardized by Brazilian legislation, new events may arise from the replication of the model in different organizations. The research revealed the need for practical testing in a simulated public procurement environment.Originality/valueThe article explores the interaction between disruptive network technology and processes linked to public sector efficiency. Studies on electronic government point to the future of public management.

Review of the Adoption of TQM Models and the Achieved Sustainable Business Results in the MENA Telecommunication Industry

Purpose: Understanding the criticality of the telecommunication industry in the current time and appreciating the significance of adopting total quality management models in organizations to extend business sustainability. This paper provides a comparison between two telecommunication leaders in the MENA region: Zain & Etisalat, to assess their adoption of TQM models and the impact on their organizational and market success. Methodology: this study uses a comparative case study. a mixed-methods methodology was applied, combining quantitative and qualitative data. Primary data collection methods included surveys given to employees at different levels to gauge the internal effects of TQM models on operational efficiency and employee satisfaction, as well as semi-structured interviews with key management personnel from both companies, aimed at gaining insights into the implementation and outcomes of TQM practices. Secondary data came from a number of sources, such as government publications that described TQM adoption and telecommunication trends, market analysis and financial performance data from industry databases like Statista, annual reports and official documentation from Zain and Etisalat, and relevant quality management certifications and standards (like ISO 9001:2015). Thematic analysis of interview transcripts to find recurring themes and implementation insights, content analysis of company reports and publications to evaluate the strategic alignment and integration of TQM models, and case study analysis to compare and contrast Zain and Etisalat's approaches to adopting and implementing TQM models were some of the qualitative data analysis techniques used. Findings: The study found that the adoption of TQM models like EFQM, Kaizen and Lean six sigma across the whole organization is more effective than localizing the application to one aspect as indicated by the comparison between Zain & Etisalat. The comparison indicated that the application of TQM extended the sustainability and resilience of Etisalat and Zain in the face of business challenges by improving performance and streamlining processes to increase customer satisfaction. Unique Contribution to Theory, Practice and Policy: The study recommended that both Etisalat and Zain should consider incorporating sustainability practices into their TQM frameworks, given the growing focus on corporate social responsibility and sustainability. This could be illustrating a dedication to sustainable business practices by coordinating Kaizen and Lean Six Sigma initiatives with objectives related to social responsibility and the environment. To improve the synergy between Kaizen, EFQM, and Lean Six Sigma initiatives, both companies should foster cross-functional collaboration.

Rise above prejudice against personality: Association with personality and interactive collaboration in team creativity performance

Creative discussions and interactions represent the main work model in many organizations. Team collaboration usually turns out to be more creative than individual work because, for example, it is able to gather information from different fields. However, differences in personality among team members may trigger conflicts, affect collaboration efficiency, and potentially affect the team's creative outcomes. Therefore, it is essential to explore the relationship between team members' personalities and their interactions within the team in the context of creativity.Initially, this study confirmed significant correlations between the personality traits of team members and their collaborative behaviors at an individual level. Furthermore, it verified significant correlations between individual interactive behaviors and team creativity. The study noted that groups characterized by low agreeableness and high neuroticism traits were more likely to achieve heightened levels of creativity. Quantitative analysis of team interaction behavior data revealed significant correlations between agreeableness and spontaneous behaviors, as well as neuroticism traits and contending behaviors. Qualitative analysis of teamwork unveiled that an increase in behaviors linked to these traits effectively enhanced the diversity and equilibrium of team interaction. Finally, qualitative analysis extracted interactive features of highly creative teamwork performances, such as more balanced durations of team member speaking times and relatively consistent interaction frequencies among members across various design stages.These findings establish a solid foundation for accommodating and supporting members with diverse personality traits within creative teams. They also indicate we can create a collaborative environment beneficial for team creativity by recruiting the right members or adjusting intra-team interactions. Moreover, these insights shed light on how design teams can improve their project management and creative performance.

Collaborative Relationship Modeling and Analysis of Natech Emergency Response Organizations Based on Stochastic Petri Net

Collaborative Relationship Modeling and Analysis of Natech Emergency Response Organizations Based on Stochastic Petri Net

Fostering Eco-literacy and Naturalistic Intelligence through Environmentally Based Education in Coastal Preschool

This research aims to analyze environmental-based education to increase environmental literacy and naturalistic intelligence. This research uses a qualitative descriptive method with interviews, observation, and document analysis as data collection techniques. Informants were selected using purposive sampling techniques. The criteria for selecting informants are teachers who have a minimum of five years of teaching experience and the ability to make environment-based learning plans. The sampling results were 15 teachers from five kindergartens in the coastal area. The research results show that Environment-Based Education (EBE) can increase children's eco-literacy and naturalistic intelligence which focuses on four main dimensions, such as knowledge, understanding, skills, values ​​, and attitudes. Increasing children's positive attitudes and behavior towards the environment can increase awareness of coastal environmental preservation. Results also show increased acquisition of practical knowledge, skills, and positive attitudes towards the preservation and sustainability of the coastal environment. The findings of the above studies allow recommendations for understanding the long-term impact of such teaching on environmental literacy in children that requires long-term studies. A more organized learning model that other educational institutions may employ, and includes the creation of unique curricula, including outdoor education programs, and efforts in environmental initiatives. Keywords: eco-literacy, naturalistic intelligence, environmental-based education, coastal ECCE

An Artificial Intelligence (AI) Framework to Predict Operational Excellence: UAE Case Study

Implementing the European Foundation for Quality Management (EFQM) business excellence model in organizations is time- and cost-consuming. The integration of artificial intelligence (AI) into the EFQM business excellence model is a promising approach to improve the efficiency and effectiveness of excellence in organizations. This research paper’s integrated framework follows the ISO/IEC 23053 standard in addressing some of the concerns related to time and cost associated with the EFQM model, achieving higher EFQM scores, and hence operational excellence. A case study involving a UAE government organization serves as a sample to train the AI framework. Historical EFQM results from different years are used as training data. The AI framework utilizes the unsupervised machine learning technique known as k-means clustering. This technique follows the ISO/IEC 23053 standard to predict EFQM output total scores based on criteria and sub-criteria inputs. This research paper’s main output is a novel AI framework that can predict EFQM scores for organizations at an early stage. If the predicted EFQM score is not high enough, then the AI framework provides feedback to decision makers regarding the criteria that need reconsideration. Continuous use of this integrated framework helps organizations attain operational excellence. This framework is considered valuable for decision makers as it provides early predictions of EFQM total scores and identifies areas that require improvement before officially applying for the EFQM excellence award, hence saving time and cost. This approach can be considered as an innovative contribution and enhancement to knowledge body and organizational practices.

Abstract P145: Randomized Trial of an Integrated Care Intervention Among Latino Adults: Sustained Effects on Diabetes Management

Purpose: Adequate diabetes management is challenging to sustain. In healthcare practices serving under-resourced communities, the development of cost-efficient interventions with a sustainable impact are crucial. We examined the 12-month maintenance effects of a previously successful integrated model of diabetes care at improving glycemic management and psychological well-being among Latino adults with type 2 diabetes (T2D). Methods: A randomized controlled trial (2015-2019) compared an Integrated Care Intervention (ICI) with Usual Care (UC) among 456 adults with T2D. The ICI included integrated medical and behavioral care and health education over 6 months. Assessments were completed at baseline, 3-, 6-, 9-, and 12-months. Results: Most participants were female (63.7%), with a mean age of 55.7 years. In multi-level models, significant group x time (quadratic) interaction effects were found for HbA1c ( ß = .10, 95% CI .02,.17, p < .01) and anxiety ( ß = .20, 95% CI .05,.35, p < .009), but not depression symptoms ( ß = .15, 95% CI -.01,.31, p < .07). Analyses of instantaneous rate of change in the ICI group showed significant decreases at 3- and 6-months for HbAc1 ( ß = -.31 at 3-months; ß = -.12 at 6-months) and anxiety symptoms ( ß = -.92 at 3-months; ß = -.46 at 6-months), and no significant changes at 9- or 12-months, suggesting that initial improvements were largely maintained. The UC group showed a small decrease in anxiety symptoms at 6 months ( ß = -.17), but no other significant changes (all ps > .05). (See Figure 1). Conclusions: This culturally tailored integrated care model that included both medical and behavioral care and health education programs, shows potential in producing and sustaining positive effects on clinical and psychological outcomes above standard care. Findings have implications for practice and policies that facilitate implementing these models in healthcare organizations.