Good Decisions Research Articles

Secured finance handling for supply chain integrated business intelligence using blockchain application scenarios

Business intelligence is becoming more essential for supply chain administrators to make good decisions. The globalization of supply chains makes their management and control more challenging. Blockchain is a distributed digital ledger technology that guarantees traceability, transparency, and security and promises to ease global supply chain management issues. This paper proposes the Blockchain-assisted Secure Data Management Framework (BSDMF) for financial data handling for supply chain integrated business intelligence models. Analyzing, collecting, and demonstrating data could be important to a business, its supply chain performance, and sustainability. The blockchain can interrupt supply chain processes for improved finance handling, distributed management, and process automation. The study’s experimental result will help organizations deploy blockchain applications with intelligent business strategies to support supply chain management effectively. The simulation outcome has been implemented, and the recommended method achieves a computation time of fewer than 2 hours, an efficiency ratio of 97.4%, an error ratio of 94.1%, data authentication of 92.1%, and a data management ratio of 98.7%.

AN APPLICATION OF GRAPH COLORING: NURSE SCHEDULING PROBLEM

The Nurse Rostering Problem (NRP), also known as the Nurse Scheduling Problem (NSP), represents a challenging scheduling issue that significantly impacts hospital staff worldwide on a daily basis. Nursing staff scheduling is one of the most important but complex problem for the hospital management. NSP is a critical subclass of scheduling problems known for their complexity. This paper introduces an efficient approach to solving the Nurse Scheduling Problem (NSP), aiming to meet the needs of nurses, patients, and hospital management. It requires critical thinking and good decision-making skills to develop a roster that effectively balances patient care, employee and other needs in the organization. To reduce the problem's complexity, graph coloring techniques have been utilized.

EUROPEAN SOCIETY OF ENDODONTOLOGY Undergraduate Curriculum Guidelines for Endodontology.

Undergraduate education should accomplish graduates who are skilled to provide quality care for patients, who are aware of their scope of practice, competency level and limits and who are open to referring patients whose needs are beyond their own skills and experience. They should also become self-efficacious. Quality performance begins with good diagnosis and decision-making. Graduates should understand when to treat, why to treat, what to treat and how to treat. These guidelines include a list of capabilities that the graduating student will be expected to have achieved to provide a minimum level of competency in endodontics. Theoretical knowledge, practical skills, understanding and insight should be assessed, with both formative and summative assessment procedures, making use of reflection and feedback. Endodontic procedures should be undertaken within the context of comprehensive patient care and should be evidence based. Students should not perform treatments on patients until they have demonstrated in a pre-clinical setting that they possess the required skills. Only if it is not possible to simulate a specific procedure sufficiently in a pre-clinical setting should students learn this procedure by performing it clinically under close supervision. Clinical endodontics should ideally be supervised by endodontists or by staff with special knowledge, interest and self-efficacy in endodontics. It is advised to ensure that students apply their knowledge and practice their skills periodically throughout the continuum of endodontic education until graduation. A philosophy of lifelong learning and evidence-based practice should be instilled in all dental undergraduates.

It Takes a Campus: Agility in the Development of Directed Self-Placement

Transitioning from a conventional placement model for first-year writing to a student self-placement (SSP) model requires many stakeholders to shift their perspectives on students, assessment, and the nature of the work of writing program administrators (WPAs). This article recounts the communicative and administrative agility involved in launching SSP while simultaneously researching its effects on student success. It also foregrounds the shifts in numerous roles--including those of instructors, students, and advisors, and even our own roles as WPA-researchers--that have been prompted by the transition to SSP. In particular, this article explores the connections between those roles and academic paternalism--an attitude that presumes to know what is best for students, that doubts students' abilities to make good placement decisions, and that treats conventional placement outcomes as the measure against which SSP should be judged. Adherence to academic paternalism and its investment in "expert" assessment of student writing ability emerges as an obstacle to realizing the full potential of SSP to support equitable placement practices.

Analisis CSR, GCG dan Keputusan Investasi pada Perusahaan Konstruksi yang Terdaftar di Bursa Efek Indonesia

Profitability of a company is the company's ability to obtain net profit from activities carried out during the accounting period. The purpose of this research is to examine and describe the effect of corporate social responsibility, good corporate governance, and investment decisions on profitability. The number of samples is 48 construction company data with purposive sampling criteria. The analysis technique used is the F-test, and multiple linear regression with the t hypothesis test. The results of the study show that corporate social responsibility has a significant negative effect on profitability, while good corporate governance and investment decisions have an insignificant negative effect on profitability.

Considerations for Industry-Preparing for the FDA Model-Informed Drug Development (MIDD) Paired Meeting Program.

A recent industry perspective published in this journal describes the benefits received by drug companies from participation in the MIDD Pilot Program. Along with the primary objectives of supporting good decision-making in drug development, there were substantial savings in time and development costs. Furthermore, many sponsors reported qualitative benefits such as new learnings and clarity on MIDD strategies and methodology that could be applied to other development programs. Based on the success of the Pilot Program, the FDA recently announced the continuation of the MIDD Paired Meeting Program as part of the Prescription Drug User Fee Act (PDUFA VII). In this report, we describe the collective experiences of industry participants in the MIDD Program to date, including all aspects of the process from meeting request submission to follow-up actions. The purpose is to provide future participants with information to optimize the value of the MIDD Program.

Frequency regulation with storage: On losses and profits

Low-carbon societies will need to store vast amounts of electricity to balance intermittent generation from wind and solar energy, for example, through frequency regulation. Here, we derive an analytical solution to the decision-making problem of storage operators who sell frequency regulation power to grid operators and trade electricity on day-ahead markets. Mathematically, we treat future frequency deviation trajectories as functional uncertainties in a receding horizon robust optimization problem. We constrain the expected terminal state-of-charge to be equal to some target to allow storage operators to make good decisions not only for the present but also the future. Thanks to this constraint, the amount of electricity traded on day-ahead markets is an implicit function of the regulation power sold to grid operators. The implicit function quantifies the amount of power that needs to be purchased to cover the expected energy loss that results from providing frequency regulation. We show how the marginal cost associated with the expected energy loss decreases with roundtrip efficiency and increases with frequency deviation dispersion. We find that the profits from frequency regulation over the lifetime of energy-constrained storage devices are roughly inversely proportional to the length of time for which regulation power must be committed.

PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters

Multi-tenant GPU clusters are common, where users purchase GPU quota to run their neural network training jobs. However, strict quota-based scheduling often leads to cluster under-utilization, while allowing quota groups to use excess GPUs improves utilization but results in fairness problems. We propose PPS, a probabilistic prediction based scheduler, which uses job history statistics to predict future cluster status for making good scheduling decisions. Different from existing schedulers that rely on deep learning frameworks to adjust bad scheduling decisions and/or require detailed job information, PPS treats jobs as black boxes in that PPS runs a job to completion without adjustment once scheduled and requires only aggregate job statistics. The black-box feature is favorable due to its good generality, compatibility and security, and made possible by the predictability of aggregate resource utilization statistics of large clusters. Extensive experiments show that PPS achieves high cluster utilization and good fairness simultaneously.

Business Intelligence (BI)

Generally, BI plays a very significant role in promoting the success of any organization, particularly the universities; however, not all BI projects have been implemented successfully by the universities across the word, suggesting that only a few universities appear to have faith in BI as strategy for success and sustainability particularly in this era where data speak. As a result, this study attempts to establish the relationship between BI and university sustainability and success. Therefore, the major objective of the study is to find an empirical link between BI and university sustainability and success with particular interest in Saudi Arabia. Overall, the study found that business intelligence affects the university sustainability but not its success. It shows that BI assists the university in making good decisions that may sustain the university while ensuring that the university does not fall below break-even in terms of success. By implication, the university can use business intelligence as a strategy for sustainability but not work well for achieving the desired success.

The Cycle of Stress: From Individuals to the World and Back

Stress is a feeling of being worried, scared, or overwhelmed, caused by challenging situations or big life changes. Not all stress is bad, and some kinds of stress, like exercise, can even be good for us. However, when stress is severe or lasts a long time, it can harm our health. Severe stress causes inflammation, which is the body’s way of protecting itself. Inflammation helps the body heal, but long-lasting inflammation can lead to health problems. Stress can also affect the brain, making it hard to think clearly or make good decisions. In our work, we linked all these stress-related factors together (using math) to explain our hypothesis that stress can spread from person to person through our actions, words, and body language—and even over social media—until it affects whole societies and eventually the entire planet! This is a dangerous cycle that can lead to even more stress and inflammation, making problems worse. To break the cycle, we each need to focus on reducing stress in our own lives.

The Meaning of Studying Batik Art to Create Character Education in Cultural History

The aim of writing this article is to analyze the importance of studying Batik art in order to create character in cultural history, which is important to prevent moral degradation in young people. The research method used is a literature study prepared in the same way as other studies; however, data was collected through library sources by reading, taking notes, and analyzing research materials from papers about the variables studied. The results of the research show changes in the use of Batik art in ancient times and now, which in the past was only used by the kings and their families, which is different from now which can be used by all groups and other regions also have batik with their own regional characteristics. Character education includes education on values, manners, morals and character which aims to develop students' ability to make good and bad decisions, maintain the good and realize that goodness in everyday life wholeheartedly, considering how important the scope of character education is, it is a The character education process must include the totality of students' potential, both in cognitive, affective and psychomotor aspects.

The Analytic Network Process for Identifying the Potential Sub-Sectors of Creative Industry: Empirical Finding from Semarang, Indonesia

Objective: The aims of the present study is to identify the most potential sub-sector of creative industry in Semarang, Indonesia. Theoretical Framework: The creative industry is considered to promote human development while promoting the economic growth. It maintains and protects cultural and historical heritage, foster individual and communities’ creativities, as well as improve cultural capital. Although there is widespread classification of creative industry, the Indonesian Ministry of Tourism has classified the creative industry into 16 sub-sectors, namely, (1) advertising, (2) application and game developers, (3) architecture, (4) craft, (5) fashion, (6) film, animation, and video, (7) fine arts, (8) gastronomy/culinary, (9) interior design, (10) music, (11) performing arts, (12) photography, (13) product design, (14) publishing, (15) TV and radio (broadcasting), and (16) visual communication design. Methodology: The analytic network process (ANP) is used to identify the most potential sub-sector of creative industry. A case study is conducted in Semarang, a capital city of Central Java Province, Indonesia. There are four criteria to be considered, i.e., economic, technology, social, and cultural indicator. Data are collected from in-depth interviews with experts in the field of creative industry. Results and Conclusion: According to the four criteria, it is revealed that the social indicator has the greatest weight among others with value of 0.338. Next, the fashion sub-sector is considered as the most potential sub-sector of creative industry in Semarang with the weight of 0.428. A consistency checking is also performed to test whether the answers of the experts contradict each other or not. The result shows that the value of consistency ratio is 0.049 or less than 0.1, indicating consistency. Implication of Research: The findings of this study can provide local government with valuable insights to prioritize the most potential sub-sector to be developed to actualized Semarang as a creative city. Originality/value: Decision-making is of vital importance as it can help management to make good decision.

Giving children pocket money to help them understand economic principles in personal budget management and reduce gender gaps in financial matters: Does it work?

AbstractMost children who receive pocket money have no idea how to manage it as they have never been taught financial literacy. However, the existing literature does not focus on the level of financial education and guidance children receive or the degree to which parents supervise their children in making decisions about pocket money. This research aims to fill the gap. This study focuses on the financial decisions of children aged 12–16, comparing 105 parent–child dyads in which the child gets pocket money to 101 parent–child dyads in which the child does not get pocket money. The study's results demonstrate that, unlike previous studies, getting pocket money has no impact on children's excessive consumption of fast food and sweets, whereas society's impact on children's consumer decisions increases when they are given pocket money. In contrast, if children believe their parents make good financial decisions and if parents share the household financial decisions with them, children will make better financial decisions themselves. In addition, consistent with previous research, girls – more than boys – see themselves as influenced by their friends in the context of consumer decisions and perceive of themselves as excessive consumers. Implications for parents as well as government policy are discussed.

Industrial Engineering Using IBM SPSS Statistics

Industrial Engineering, Most historians agree that the Industrial Revolution is when the profession of industrial engineering had its start. The invention, the spinning jenny, and—possibly most significantly—the steam engine were among the innovations that helped mechanize traditional manual tasks in the textile industry. These innovations also created scale savings that for the first time that made commercial production in centralized facilities appealing. The factories built as a result of these developments are where the idea of something like the production system originated. Also, it has been proposed that Leonardo Vinci may have been the first manufacturing engineer as there is proof that he used science to analyze human labor by observing how quickly a laborer could shovel soil approximately in 1500.Both the producers and the final consumers of a product value industrial engineering. To improve efficiency, industrial engineers enhance designs and procedures. This benefits businesses since it conserves people, raw materials, time, and money. IBM SPSS Statistics Your firm can easily derive useful insights from your data because to its user-friendly interface and extensive feature set. High accuracy and good decision-making are ensured by advanced statistical techniques. The entire analytics lifecycle is covered, from data administration and preparation to reporting and analysis. Perceived quality, Customer expectations, Perceived value, Customer satisfaction, Customer complaints, and Customer loyalty. The Cronbach's Alpha Reliability result. The overall Cronbach's Alpha value for the model is .581 which indicates 58% reliability. From the literature review, the above 46% Cronbach's Alpha value model can be considered for analysis. the outcome of Cronbach's Alpha Reliability. The model's total Cronbach's Alpha score is .581, which denotes a 58% dependability level. The 46% Cronbach's Alpha value model mentioned above from the literature review may be used for analysis.

Nomogram to predict recurrence risk factors in patients with non-valvular paroxysmal atrial fibrillation after catheter radiofrequency ablation.

Radiofrequency catheter ablation (RFCA) is an effective method for controlling the heart rate of paroxysmal atrial fibrillation (PAF). However, recurrence is trouble under the RFCA. To gain a deeper understanding of the risk factors for recurrence in patients, we created a nomogram model to provide clinicians with treatment recommendations. A total of two hundred thirty-three patients with PAF treated with RFCA at Guizhou Medical University Hospital between January 2021 and December 2022 were consecutively included in this study, and after 1 year of follow-up coverage, 166 patients met the nadir inclusion criteria. Patients with AF were divided into an AF recurrence group and a non-recurrence group. The nomogram was constructed using univariate and multivariate logistic regression analyses. By calculating the area under the curve, we analyzed the predictive ability of the risk scores (AUC). In addition, the performance of the nomogram in terms of calibration, discrimination, and clinical utility was evaluated. At the 12-month follow-up, 48 patients (28.92%) experienced a recurrence of AF after RFCA, while 118 patients (71.08%) maintained a sinus rhythm. In addition to age, sex, and TRV, LAD, and TTPG were independent predictors of recurrence of RFCA. The c-index of the nomogram predicted AF recurrence with an accuracy of.723, showing good decision curves and a calibrated nomogram, as determined by internal validation using a bootstrap sample size of 1000. We created a nomogram based on multifactorial logistic regression analysis to estimate the probability of recurrence in patients with atrial fibrillation 1 year after catheter ablation. This plot can be utilized by clinicians to predict the likelihood of recurrence.

Asymmetric Information and Privatization of Health Care

In the 21st Century, knowledge is seen as a commercial meta. Via knowledge we obtain reputation and the power in everyday life, and, knowledge is a source of profit in the commercial life. Accessing information has become easier through, the mass media becoming widespread. However, in some complex products or services, superficial information may not be enough to differentiate effectively among the choices and make a good decision. Buyers and sellers should have the necessary knowledge about the goods on the market, the costs, the profit and the quality factors in order for the market to function effectively. Buyers and sellers should also have the same level of information so that health care could become a marketable service in a perfectly competitive market. This situation, which is known in health economics, will be examined through knowledge and asymmetric information issues within the scope of the study.

Sales Analysis on Garment Industry with Datawarehouse and ETL Implementation on Star Schema

In the current industrial era, clothing companies face increasingly complex challenges in maintaining the quality and sales of their products. To overcome these obstacles, companies must have a good vision, mission, and decision-making capabilities supported by efficient data management. Data is becoming a valuable asset in Industry 4.0, pivotal in process management, increased productivity, and competitive advantage. This research explores the implementation of Data Warehouse (data warehouse) and ETL (Extraction, Transformation, and Load) processes on star schema for PT Golden Flower Tbk. A data warehouse is a container for storing company data, supporting decision-making, and providing business insights. Meanwhile, the ETL process ensures that the data entered into the warehouse is clean, structured, and ready for analysis. PTA garment manufacturing and exporter company, USPT Golden Flower Tbk, uses the Pentaho application to carry out the ETL process. Pentaho, a Business Intelligence tool, facilitates easy data processing and analysis. This research also explains the use of dimension tables and fact tables in star schemas, which form the basis for more in-depth data analysis. Through visualization and analysis using star schema, Mondrian, and schema workbench, companies can identify sales patterns in each branch and understand which products are most in demand by consumers. The results of the star schema, moMondrianand schema workbench provide a better understanding of the company's sales performance, enabling more informed decision-making and more effective strategies.

PERSONALITY-RELATED DETERMINANTS OF ENTREPRENEURSHIP IN THE LIGHT OF OWN RESEARCH IN THE AGRIBUSINESS SECTOR

The aim of this article is to identify the personality traits that can characterise entrepreneurial people and to determine what they believe to be important in achieving success. Entrepreneurship is defined very broadly in the literature and researchers consider different approaches to this issue. Certainly, being entrepreneurial is a combination of knowledge, passion, hard work and active learning. What is more, in many studies there are hypotheses indicating a correlation between the possession of certain character traits, or even temperament, and the propensity to start a business. In this article, an analysis of the behavioural and attitude approach to entrepreneurship is undertaken, which means that some personal traits and behaviour of the entrepreneurial person are analysed, as well as their perceptions of the issue. A descriptive-inductive method was used, using simple statistical methods. A survey method was used to obtain empirical data. An online survey form was sent to agribusiness entrepreneurs from Poland, the entrepreneurs were randomly selected. The respondents were primarily active in industries such as fruit, vegetable processing, as well as meat. A total of 57 returns were received between January and March 2023. The questionnaire included questions on personality traits that may be conducive to an entrepreneurial attitude, as well as identifying attitudes towards certain management situations. The respondents rated themselves as extroverted and open-minded, confident in their abilities. Most respondents described themselves as sanguines. A number of scientific studies confirm that sanguines and extroverts are the people who are most successful as entrepreneurs. Considering the statements of the respondents, there was a significant difference in the inconsistency of the responses from those labelled choleric and phlegmatic. The most consistent statements were obtained from sanguinis. Sanguinis were the most likely of all respondents to believe in the strength of their predispositions and character traits. Cholerics, due to their explosive nature and not always good decisions, felt that it was appropriate to monotone external factors, as this was the basis for decision-making. As a result of the survey and the literature review, it can be confirmed that entrepreneurial personality traits play an important role when setting up one's own business and also when continuing to manage it, but also an external situation and business environment play an important role in decision-making process. All these factors should be correlated and a good entrepreneur should be able to use his/her strengths to exploit market opportunities. According to the authors of this article, it is necessary to integrate one's personality traits and aptitudes with market information and ongoing monitoring of the industry to achieve success. Key words: personal traits, entrepreneurship, business motives JEL code: Q13, L26

Financial Comparison of Continuous-Cover Forestry, Rotational Forest Management and Permanent Carbon Forest Regimes for Redwood within New Zealand

Continuous-cover forestry (CCF), which maintains a relatively intact forest cover through selective harvesting, has emerged over the last few decades as a popular alternative to rotational forest management (RFM). Coast redwood, which is native to the western United States, grows rapidly in New Zealand and is well suited to CCF as it has high shade tolerance, an ability to coppice from the cut stem, and resistance to pests, diseases, wind and fire. A forest estate model was used to compare the carbon sequestration, timber production and profitability of redwood CCF, RFM and permanent carbon forestry (PCF) regimes at a regional level within New Zealand. Through linear programming, this model optimised carbon accumulation and harvesting decisions across a large forest to meet a series of constraints associated with each regime. All three regimes represented good investment decisions, but CCF had the highest soil expectation value (SEV) within most North Island regions while PCF had a slightly higher SEV within the South Island regions. Under the transitional CCF (CCFt), revenue from carbon initially increased before levelling out at 40 years, after which time a sustainable harvest of high-value timber commenced in perpetuity without additional revenue from carbon. The CCFt regime transitioned to a steady-state condition, with a uniform age class distribution from year 150 onwards (CCFs), after which time a very high SEV was attained that exceeded that of CCFt by four-fold in the North Island (NZD 136,126/ha vs. NZD 34,430/ha) and seven-fold (NZD 44,714 vs. NZD 6267/ha) in the South Island. This study highlights the profitability of managing redwood under CCF and how initial carbon revenue can be used to finance the transition of the forest to a steady-state condition that produces a stream of valuable timber with a very high rate of return.

Incorporating financial literacy in video clips amongst high school students

<span lang="EN-US">Young adults with enough financial knowledge can commonly make good financial decisions, whereas those who lack financial literacy are always burdened by student loans and credit card debts. Acquiring adequate financial knowledge has become crucial among young adults. The present study investigated the effectiveness of incorporating financial literacy into videos among high school students. The video clips were incorporated into financial literacy in the economics curriculum to engage students and facilitate their learning of financial literacy. This study employed the mixed-methods explanatory design. The data analysis procedures in this design involved collecting the quantitative data, analyzing the data, and using the data to guide the follow-up interviews. A total of 327 students participated in this study. The results showed a significant change in students’ behavior regarding financial literacy (F=271.847, p<.05). Financial literacy should be instilled to students from primary school through tertiary education to ensure long-term sustainability effects.</span>