Management Decision-making Process Research Articles

Urinary Incontinence in Active Female Young Adults: Healthcare Preferences, Priorities and Experiences.

There is a paucity of evidence on the healthcare preferences of active female young adults with urinary incontinence (UI). This research is aimed at examining the population's healthcare preferences and priorities and their characteristics and experiences to improve access to and use of services. This cross-sectional online survey study used a convenience community sample. Participants resided in Australia, were 18-30years old, had self-reported engagement in physical activity of any frequency and self-reported urine leakage in the previous 4 weeks and met other eligibility criteria. Data were analysed using descriptive analyses. Thirty-nine participants took part in the study. The majority engaged in recreational exercise (74.2%) and experienced UI of slight to moderate severity (82.9%). Participants preferred to access information and support anonymously online (71.4%) from general practitioners (58.8%), medical specialists (50.0%) or physiotherapists (44.1%). All participants wanted to be involved in the UI management decision-making process. Participants prioritised knowing information over cost (38.2%), changes to daily habits (35.3%) and potential risks or side effects (23.5%) when making decisions about management of UI. The results highlight the diversity among active female young adults with UI. They emphasise the need for shared decision making and highlight key information needs, providing the basis for the development of decision-making tools and protocols specific to this population. They demonstrate the need for anonymous online information and support, and draw attention to the presence of UI among young recreational exercisers, highlighting the importance of ensuring that information and support is available within this demographic.

Spatial heterogeneity of the effects of river network patterns on water quality in highly urbanized city

River water quality deterioration is a serious problem in urban water environments. River network patterns affect water quality by influencing the flow, mixing, and other processes of water bodies. However, the effects of urban river network patterns on water quality remain poorly understood, thereby hindering the urban planning and management decision-making process. In this study, the geographically weighted regression (GWR) model was used to explore the spatial heterogeneity of the relationship between river network pattern and water quality. The results showed that the river network has a complex structure, high connectivity, and relatively even distribution and morphology. Important river structure indicators affecting water quality included the water surface ratio (Wp) and multifractal features (∆α, ∆f) while important river connectivity indicators included circuitry (α) and network connectivity (γ). River structure has a more complex effect on water quality than connectivity. This study recommends that the Wp should be increased in agricultural areas and appropriately reduced in urban built-up areas, and the number of river segments and nodes should be controlled within a rational configuration. Our study provides key insights for evaluating and optimizing the river network patterns to improve water quality of urban rivers. In the future, the land use intensity, hydrological processes, and human activities should be coupled with the river network pattern to deepen our understanding of urban river environment.

Teachers’ Involvement in Managerial Decision-Making Processes in Schools

Due to the global movement of educational reforms, teachers’ new empowered roles in school had been discussed and promoted. In schools, effective teacher involvement in decision making can be an approach to practicing participatory management. Thus, the author systematically searched for and synthesized evidence from certain studies related to teachers’ involvement in school managerial decision-making to encourage research on diverse participation in school administration. This paper uses a systematic literature review, which is a research method for identifying and critically reviewing other related research, as well as for collecting and interpreting data from such studies. Subsequently, managerial decision-making processes, Strategies of participation in decision-making at the school level, and factors that influence teachers’ involvement in the decision making will be discussed in this study. It is assumed that educational leaders should encourage ways of involvement in decision-making that improve teachers' participation in managerial decisions concerning their roles and opportunities for development and allow for further sharing on issues concerning school management. Then, the results can be used to determine whether the effects of teacher involvement constant across studies and discover whether studies conducted in one context show significantly different results from those conducted in other contexts.

Evaluation of the contribution of the automated accounting information system to the managerial decision-making process in the commercial bank of Bangladesh

Accounting Information Systems (AIS) are becoming widespread among Bangladeshi banks. The purpose of this study is to assess how automated AIS affects Bangladeshi commercial banks. Purposeful sampling and a randomized block design were used to disseminate questionnaires to 400 respondents from Chattogram, Bangladesh, a commercial port city. Five-point Likert scale close-ended questions assess eight aspects of AIS usage and benefits: infrastructure, technological resources, understanding ability, operational comparability, relevance, reliability, decision-making, and organizational performance. Descriptive analysis, Kolmogorov–Smirnov test, Shapiro-Wilk test, factor analysis with Kaiser-Meyer-Olkin test, Cronbach's alpha, one-sample Wilcoxon Signed Rank Test, Kendall's tau-b Correlation Coefficient, Mann-Whitney test, Kruskal-WallisH test, and structural equation model were performed using MS Excel 2016, IBM SPSS Statistics 26, and IBM SPSS. The model was validated using convergent and discriminant validity tests. The study found that technological resources, operational comparability, relevance, and dependability influence AIS-based decision-making, while infrastructure and understandability do not. Private banks and AIS-trained personnel make more AIS-based decisions than public banks and non-AIS-trained workers. Regular and frequent decision-makers use AIS more than sporadic decision-makers. There is no effect of gender or job experience on AIS-based decision-making. Finally, AIS-based decision-making improved organizational performance. Therefore, the study results may assist Bangladeshi commercial banks in adopting AIS.

Совершенствование процесса принятия управленческих решений в сельском хозяйстве с применением систем искусственного интеллекта

Abstract. The problem of the quality of managerial decisions is one of the most acute problems of agriculture. Their quality can be improved with the use of digital technologies, including the use of artificial intelligence (AI) systems. The purpose of the study is to clarify the main stages of managerial decision-making, taking into account the use of AI systems. The scientific novelty lies in the development of a structural model for making a managerial decision, taking into account the use of AI systems, the main components of this process are identified. The research methods were the analysis of publications in the WoS scientific citation network on the topics “agriculture” and “artificial intelligence”, as well as the abstract-logical method in the analysis of the main stages of making a managerial decision. The results of the study were the determination of the composition and content of the stages of the procedural decision invariant, taking into account the use of artificial intelligence systems. The use of artificial intelligence systems allows diagnosing the occurrence of problems in crop production, animal husbandry, and technical systems at an early stage. Data collection and analysis in the process of making a managerial decision using AI systems includes direct data collection using sensors, cameras, scanners, etc., their cleaning and preliminary analysis, exploratory and statistical analysis, data modeling and interpretation of results. The use of AI systems will make it possible to operate with large data sets from agricultural production facilities, which will reduce uncertainty in making managerial decisions. The analysis of alternatives and the development of a management decision using AI systems turns off the forecasting of agricultural development indicators in a given system of constraints, the generation of alternative solutions and the choice of the optimal alternative, the acceptance or ignoring of the proposed alternatives. AI systems can be used to automate and optimize the process of implementing management decisions, monitoring and controlling management decisions. The use of AI systems to automate management decision-making processes in agriculture can help improve management efficiency.

Evolution of digital transformations in IT companies

This article discusses the evolution and approaches of digitalization of business processes within IT companies, highlighting the transformative effects of this shift on operational efficiency and strategic management. By integrating digital technologies like artificial intelligence, blockchain, and cloud computing, IT companies are redefining the landscape of business process management. The paper examines how IT companies' digital technologies have evolved as business processes have been optimised, management decision-making processes have been improved, and service quality has been enhanced. It also looks at issues such as data security, privacy concerns and the need for skilled labour. The evolution of digitalization in IT Companies is investigated through the prism of retrospective historical analysis of how digitalization has evolved in the IT sector and early adaptations, the shift towards more integrated digital solutions. The research methodology includes a blend of qualitative and quantitative approaches, analyzing case studies from various IT companies that have successfully navigated the digital transformation journey. The findings indicate that digitalization, when strategically implemented, leads to significant improvements in process efficiency, cost reduction, and competitive advantage. However, it also necessitates a cultural shift within organizations, emphasizing the importance of continuous learning and adaptation to technological advancements. The paper concludes by proposing strategies for effectively managing the transition towards a digitally empowered business environment.

Significance of Aneuploidy in Predicting Prognosis and Treatment Response of Uveal Melanoma.

This study aimed to improve personalized treatment strategies and predict survival outcomes for patients with uveal melanoma (UM). Copy number aberrations (CNAs) have been considered as a main feature of metastatic UM. This study was designed to explore the feasibility of using copy number variation (CNV) in UM classification, prognosis stratification and treatment response. The CNV data in the TCGA-UVM cohort were used to classify the samples. The differentially expressed genes (DEGs) between subtypes were screened by the "Limma" package. The module and hub genes related to aneuploidy score were identified by performing weighted gene co-expression network analysis (WGCNA) on the DEGs. Univariate Cox and least absolute shrinkage and selection operator (LASSO) regression analysis were employed to train the hub genes for developing a prognosis model for UM. Finally, the expression levels of the screened prognostic key genes were verified in UM cells, and the cell migration and invasion abilities were detected using real-time quantitative PCR (qRT-PCR) and transwell assay. The UM samples were divided into 3 CNV subtypes, which differed significantly in overall survival (OS) and disease-specific survival (DSS). C1 had the shortest OS and DSS and the highest level of immune infiltration. A total of 2036 DEGs were obtained from the three subtypes. Eighty hub genes with the closest correlation with aneuploidy scores were selected by WGCNA. Univariate Cox and LASSO regression-based analyses finally determined eight genes as the key prognostic genes, including HES6, RNASEH2C, NQO1, NUDT14, TTYH3, GJC1, FKBP10, and MRPL24. A prognostic model was developed using the eight genes, demonstrating a strong prediction power. Differences in the response to immunotherapy among patients in different risk groups were significant. We found that high-risk patients were more sensitive to two drugs (Palbociclib_ 1054 and Ribociclib_1632), while low-risk patients were more sensitive to AZD1208_1449, ERK_2440_1713, Mirin_1048, and Selumetinib_1736. UM in this study was divided into three CNV subtypes, and a model based on eight aneuploidy score-related genes was established to evaluate the prognosis and drug treatment efficacy of UM patients. The current results may have the potential to help the clinical decision-making process for UM management.

Forest harvest operations productivity forecasting: a decisions tree approach

ABSTRACT In recent years, machinery used in forest harvesting operations has incorporated the ability to collect data during the harvesting operation automatically. The processing of these data allows for obtaining new perspectives on the harvest characteristics. In this sense, it is that the development of predictive models for harvest productivity is approached by processing the automatically retrieved data. In turn, these new models pave the way to develop new tools for operations management decision-making processes, providing a data-driven approach. In this case, forest productivity is analyzed based on different harvesting operational configurations defined by stand, trees, species, operators, shifts, etc. which make it possible to adequately predict what the wood-harvested volume will be, and thus, synchronize the rest of the supply chain logistics operations. The data processing is done through decision tree methods. Different methods of decision trees based on exhaustive Chi-square automatic interaction detection (CHAID), recursive binary partition, and conditional inference based that also uses binary recursive partition are tested. The results show that decision recursive binary partition methods tend to model the entire spectrum of the target variable in a more balanced manner. While exhaustive CHAID-based methods tend to be more accurate in global terms but more unbalanced. As a general comment of the method, global confusion matrices are around 50% accurate, and some operational configurations and productivity classes are predicted with almost 90% accuracy.

Expert Opinion on Current Trends in the Use of Insulin in the Management of People with Type 2 Diabetes from the South-Eastern European Region and Israel.

Despite the availability of various antihyperglycaemic therapies and comprehensive guidelines, glycaemic control in diabetes management has not improved significantly during the last decade in the real-world clinical setting. Treatment inertia arising from a complex interplay among patient-, clinician- and healthcare-system-related factors is the prime reason for this suboptimal glycaemic control. Also, the key factor leading to inadequate glycaemic levels remains limited communication between healthcare professionals (HCPs) and people with type 2 diabetes (PwT2D). Early insulin administration has several advantages including reduced glucotoxicity, high efficacy and preserved β-cell mass/function, leading to lowering the risk of diabetes complications. The current publication is based on consensus of experts from the South-Eastern European region and Israel who reviewed the existing evidence and guidelines for the treatment of PwT2D. Herein, the experts emphasised the timely use of insulin, preferably second-generation basal insulin (BI) analogues and intensification using basal-plus therapy, as the most-potent glucose-lowering treatment choice in the real-world clinical setting. Despite an increase in the use of glucagon-like peptide-1 receptor agonists (GLP-1 RAs), the experts urged timely insulin initiation for inadequate glycaemic control in PwT2D. Furthermore, the combination of BI and GLP-1 RA addressing both fasting plasma glucose and post-prandial excursions as a free- or fixed-ratio combination was identified to reduce treatment complexity and burden. To minimise discontinuation and improve adherence, the experts reiterated quality, regular interactions and discussions between HCPs and PwT2D/carers for their involvement in the diabetes management decision-making process. Clinicians and HCPs should consider the opinions of the experts in accordance with the most recent recommendations for diabetes management.

Evidence-based management and the nurse's decision-making process

The managerial decision-making process is a competence of nurses in the hospital and primary care context, which makes them a highly requested professional for solving problems involving the unit and the care provided to the user. Such a process must be informed by evidence, with a view to achieving the best results. To discuss the use of scientific evidence by nurses in the health management process. An integrative literature review, carried out in the PubMed/MEDLINE, LILACS, BDENF, and SciELO databases, through the DeCS/MESH "Evidence-Based Nursing" AND "Health Management" OR "Evidence-Informed Policy", 694 studies were identified and 07 were included. Evidence-based decision-making is important for the delivery of effective and cost-effective public health services, this decision-making process consists of the integration of the best available research evidence, along with consideration of local context, community and policy preferences, professional experience, and resources in public health decision-making. It is, therefore, crucial to improve the quality of management decisions, consequently improving service delivery, and increasing effectiveness and efficiency, in addition to contributing to patient safety. It is concluded that evidence-based management is essential to improve the quality of management decisions and, therefore, to improve the optimization and allocation of resources in the health system.

Fulfilling fiduciary duties in the ai era: emerging risks and responsibilities in ai-assisted corporate financial oversight

This article examines emerging legal issues and theories of liability for directors involved in the management of AI financial instruments that are protected as trade secrets. The main question of the article is whether excessive delegation of functions or lack of transparency of AI algorithms can undermine the performance of fiduciary duties by directors. By reviewing case law in the context of strict oversight of past technological failures, the article proposes a renewed approach to the use of blockchain tools that will maintain efficiency benefits while ensuring necessary reporting and accountability. The study suggests that governance based on the principles of auditing AI performance and setting minimum standards for explainability can help strike a balance between driving innovation, addressing liability issues, and aligning with modern doctrines that hold boards accountable for key decision-making. new technologies. As algorithms become increasingly integrated into senior management decision-making processes, there is a need to further explore transparency mechanisms and monitoring processes that will support evolving fiduciary responsibilities in relation to evolving automation capabilities that impact shareholder interests.

The Influence of Students’ Perceptions and Motivation on Accounting and Taxation Careers

Companies depend on the trust and confidence of the general public to thrive. The integrity of financial reporting practices plays a pivotal role in establishing and sustaining stakeholders’ confidence. This trust serves as a foundational cornerstone in managerial decision-making processes and in facilitating the active participation of a diverse spectrum of stakeholders within organizational frameworks. Despite its reputation for ethical and transparent conduct, the field of accounting often grapples with a perception of mundanity, particularly among student populations. This study uses a structural equation modeling approach to assess the impact of students’ perceptions of the accounting profession on their motivation in academic coursework, using a sample of 92 undergraduate students of accounting and taxation subjects. Additionally, it seeks to investigate how this motivation directly influences their perceptions of future career and how it operates indirectly through their active engagement in accounting and taxation courses. The research findings indicate that students’ perceptions of the accounting profession have a direct and positive effect on the perceptions of future career of individuals enrolled in both accounting and taxation courses. This influence is further mediated by the levels of motivation and engagement observed in the academic domain. Moreover, the results highlight the direct and positive influence of students’ motivation and engagement in their coursework on their perceptions of future career.

Assessment of Knowledge of Health Economics among Healthcare Professionals in the Kingdom of Saudi Arabia: A Cross-Sectional Study.

Addressing the ongoing challenge of rising healthcare spending is crucial for ensuring the health quality of a population. At the core of healthcare systems, health professionals play a vital role in patient care and resource utilization. Despite healthcare cost concerns, health professionals often lack an understanding of health economics for optimal decision making. Accordingly, the aim of this study was to assess the knowledge of health economics among healthcare professionals in the Kingdom of Saudi Arabia. The broader goal was to identify knowledge gaps crucial for developing targeted interventions to maintain quality healthcare within the context of resource constraints. We used cross-sectional data collected from January to June 2023 and employed univariate, bivariate, and multivariable techniques for analysis. Univariate analyses were used to compare respondent proportions in socio-economic and demographic categories, bivariate analysis was used to examine the frequencies of independent variables related to the dependent variable, and a multivariate logistic regression model was used to identify the factors associated with knowledge of health economics among healthcare professionals. A total of 1056 responses were included for analysis. Approximately 35.35% of the sample possessed optimal knowledge of healthcare economics. Additionally, 58.14% of respondents considered health economics knowledge essential in their job practice, 16.95% regularly read articles on health economics, 22.06% engage in economic decision making at work, and 20.17% apply health economics techniques in their decision making. Health economics knowledge varied according to profession status, work experience, perceptions about health economics, and involvement in management tasks and decision-making processes. Generally, knowledge of health economics tended to increase with experience, positive perceptions, and engagement in administrative or management tasks. Nevertheless, knowledge of health economics is largely limited among health professionals in Saudi Arabia. Policymakers should address disparities in knowledge and perceptions of health economics through ongoing training courses and workshops. These interventions will ensure the presence of highly skilled professionals capable of implementing effective healthcare decisions and managing the increasing costs of healthcare.

Total neoadjuvant therapy: A new standard of care for locally advanced rectal cancer?

Delivering chemotherapy before surgery is a newer treatment approach called total neoadjuvant therapy (TNT), and the National Comprehensive Cancer Network guidelines recommend it for locally advanced rectal cancer (LARC) with cT3 / cN+ / cT4, in contrast with the European Society for Medical Oncology guidelines, in which most rectal cancers can be treated with surgery alone if good quality mesorectal resection is assured. Neoadjuvant or adjuvant treatments are reserved for patients with high-risk tumours, including cT3c/d or cT4, or that threaten the mesorectal fascia. The favourable outcomes in the RAPIDO trial for high-risk rectal cancers with a lower incidence of distant metastasis in the TNT group were observed but with an unexpected increase in the local recurrence with more extended follow-up. This suggests early surgery for nonresponding tumours. The TNT approach was also evaluated in the OPRA trial with long-course chemoradiotherapy and induction versus consolidation chemotherapy. Half the patients presented complete clinical responses and were enrolled in the watch-and-wait (WW) approach. Given the high number of trials and guidelines in this subject, the multidisciplinary team's decision-making process in rectal cancer management is complex. Looking at the actual data, it was concluded that TNT is not for all patients with LARC and is an option if organ preservation is a priority, although with a high regrowth rate in a WW strategy and increasing risk of distant metastasis, questioning the deleterious effect of deferral of surgery.

The Effect of Wearable and Tearable Climate and Weather on Wearable Technology

This article discusses the effect of wearable tearable climate and weather on wearable technology. Climate change refers to long term shifts in temperature and weather patterns, mainly caused by human activities, especially the burning of fossil fuels and unsustainable infrastructural development. Strategic environmental assessment (SEA) process can be broadly defined as a study of the impacts of a proposed project, plan, project, policy, or legislative action on the environment and sustainability. The significance of the work entitled “Sustainable Wearable Climate and Weather Management” is mainly confirmatory as it solves environmental and social problems. In this research, the SEA process has been aimed to incorporate environmental and sustainability factors into wearable climate and weather management includes climate change and control as an example like production and manufacturing process project planning and decision-making processes such as project formulation and appraisal of wearable climate and weather projects like wear and tear of dust-producing grinding chrome composite leather clad rollers and washers commonly used in seed-cotton Indian roller ginning machines, wastewater treatment process, rotating biological contactors, trickling filter bed, biomedical parts, marine biopolymers, Indo-Matsushita midget electrode (battery carbon rod) plant in 1979 at Tada, sustainable bridge, road, and sanitation structure, green building, nuclear power plant, cotton roller ginning plant and concrete that included policies, programs, plans, and legislative actions. Sustainable materials for manufacturing process development is a kind of development that meets the needs of the present without compromising the ability and efficacy of future generations to meet their own needs. Environmental Impact Assessment (EIA) process can be defined as the systematic study of the potential impacts (effects) of proposed projects, plans, programs, policies, or legislative actions relative to the physical-chemical, biological, bio-medical, cultural, and socioeconomic components of the total environmental product life cycle. The primary purpose of the EIA process is to encourage the consideration of the environment in the Organizational ’s wearable and tearable climate and weather management project planning and decision-making process and to arrive at environmentally compatible actions. The sustainable wearable climate and weather management process should include the integrated consideration of technical or engineering, economic, environmental, safety, and health, social, and sustainability factors to achieve business excellence as per post COVID-19 World Scenario. Before the National Environmental Policy Act (NEPA) process in 1970 in the USA, technical and economic factors dominance the World’s manufacturing process projects. The objective of the study is to conceptualize a training course module incorporating the SEA process for the Sustainable Environmental Wearable and Tearable Climate Change and Weather Control for the officers of Bihar Institute Public Administration and Rural Development (BIPARD), Patna, Bihar, India during the Research Year (RY) 2023-2024. The design of the study is cross-sectional. The limitation or recommendation of the study and check is to apply strategic environmental assessment process for sustainable environmental climate change and control towards sustainable development.

HYDROLOGICAL MODELING USING SWAT IN THE DECISION-MAKING PROCESS FOR THE CONSERVATION OF RIVER BASINS.

The conservation of watersheds is a concern in all countries because of the scarcity of water for capitation and use and the anthropogenic degradation of this natural resource. Thus the objective of this study is to make a systematic review on the themes ecosystem service, hydrological modeling using the SWAT model. Emphasizing the importance of this theme in the decision-making process in the management of water resources. The research is exploratory, having as main method the literature/scientific review. The bibliographic survey used was carried out on the Scopus platform, in chronological order in the range from 2018 to 2022. The two years of the health crisis were the years of greatest scientific production. Two publications stood out for the number of citations: A review of SWAT Applications, performance and Future needs for Simulation of Hydro-Climatic Extremes and, Comparison of the SWAT and Invest models to determine hydrological Ecosystem service Spatial Patterns, Priorities and trade-offs in a Complex Basin, both published in 2020. The most prominent countries in research publications in the area of Environmental Science were China, USA, Canada, Germany, Brazil and Norway. The relevance of studies involving this theme become evident because they are tools used in the decision-making process in water management, showing up as a vast field for research in Latin America and South America, but specifically in Brazil for its continental dimension and its diversity.

Theoretical Approaches Before the Adoption of Administrative Decisions in the Area of Public Administration

The article is devoted to the problem of researching theoretical approaches to the process of making managerial decisions in the field of public administration. It is noted that considering the process of making managerial decisions as an object of public management, it is emphasized that the decision-making process is multi-level. Such are the models and concepts on the basis of which decision-making can be explained, and which are multidimensional and interdisciplinary in their content. It is important to emphasize that decision-making is often perceived as a deliberative process that can be both rational and irrational, based on well-stated or only implicit assumptions Most scientific sources present a traditional linear concept of decision making, in other words, a sequence of steps is presented that helps the decision maker to make the best decision. There are many formal decision-making models, but it can be argued that the basis of managerial decision-making theories are the three most important and widely known theories of such decision-making, which emphasize the intellectual activity of decision-makers and the procedural aspect - the theory of rational complexity, the theory of incrementalism and mixed scanning theory. Touching upon the conditions and criteria of the managerial decision-making process in public administration, it is worth noting that there are many theories of decision-making, most of which have a descriptive element, that is, how decisions should be prepared, and normative guidance on how decisions should be made. Each of these approaches offers a framing mechanism and describes fundamental decision-making issues. Thus, the preparation of decisions in public administration is directly related to legislation, as they are limited and influenced by various factors and conditions, therefore absolutely objective decisions do not exist in public administration, there are only less subjective and more subjective decisions . It was concluded that management decision-making is one of the most difficult issues in the process of functioning of public administration, since management decision-making is influenced by many different factors and processes. Most of the models that explain management decision-making are descriptive and aim to emphasize the quality of information processing necessary for management decision-making. No single method of managerial decision-making can be singled out as the best, because different circumstances, different values of those who make managerial decisions, different goals or methods of managerial decision-making, and the situation in an organization or institution are different in each situation. It can be argued that rational or stepwise management decision-making methods are better in some situations, and mixed-scan management decision-making methods or a combination thereof in others.

MANAGEMENT SOLUTIONS FOR THE INNOVATIVE DEVELOPMENT OF ENTERPRISES USING A CONTROLLING SYSTEM WITH INFORMATION AND ANALYTICAL SUPPORT

The subject of the study is the controlling system in an organisation, which is necessary for information support of the management decision-making process. Methodology. The research applied the methods of economic research: monographic method (when processing scientific sources and reviewing thematic literature); scientific abstraction and generalisation (when studying various methodological approaches to support processes of management decision-making); abstract-logical method (when substantiating key factors that have an impact on processes of management decision-making in the organisation, formulating conclusions of the research conducted); methods of analysis and synthesis (when justifying the phasing of the process of making and implementing management decisions based on innovative development). The purpose of the publication is to substantiate directions for improving the process of making managerial decisions by improving the controlling support. Conclusion. The controlling process is an important function and stage of the management process in general and of the organisation's management decision-making in particular. The information support of the controlling system is of great importance for the formation of analytical support for the decision-making process. The strategic vector of the organisation's development in the current and future conditions is the innovation component, which must be taken into account when making, implementing and monitoring the implementation of management decisions. In addition to the innovative component, the management decision-making process must take into account external and internal factors of the company's activity, which must be subject to constant monitoring and control. In order to increase the validity of management decisions, it is necessary to have a controlling system in the management of innovative processes based on an innovative anticipatory element. The paper offers a model of managerial decision-making with the use of controlling support, which is aimed at increasing the competitiveness of an organisation on the basis of innovative development.

Social innovation in working management practices to support facilities management at Malaysian polytechnics

Purpose Operation and maintenance (O&M) processes projects such as identification, assessment, planning and execution, embody a variety of standards such as technical (method of statement), environmental, economic (campus development) and social (health and wellbeing). Because these standards have proven to be challenging to integrate, local governments are increasingly experimenting with social innovation (SI) as a bottom-up form of standard integration. This study aims to apply the concept of SI to the O&M processes of facilities management at polytechnics in Malaysia to identify problems with conventional working practices in this area and to recommend potential solutions. Design/methodology/approach The paper reviews evidence that conventional working methods generate significant problems related to paper-based forms, improper database management and flawed decision-making processes. Because of the lack knowledge about different ways of how standard integration is achieved, the comparison of three polytechnic institutions which are Rensselaer Polytechnic Institute (RPI) and Southern Polytechnic College of Engineering and Engineering Technology (SPCEET) in USA as well as Seberang Perai Polytechnic, Pulau Pinang (PSP) in Malaysia shares the ambition to realise standard integration of O&M through SI. Findings The findings reveal that SI leads to four ways of standard integration: computerised maintenance management system, online customer complaint, electronic form and relational database. Application of the concept of SI reveals the need for more sophisticated management solutions in the O&M processes of facilities management. Originality/value These standard integration arrangements unfortunately seem to mainly contribute to greater alignment between standard rather than true standard integration. The concept of SI will guide future improvements and developments in maintenance management systems to fulfil requirements in this area.

Peculiarities of the objective side of the failure of the declarant to submit a declaration of a person authorized to perform the functions of the state or local self-government

Peculiarities of the objective side of the failure of the declarant to submit a declaration of a person authorized to perform the functions of the state or local self-government