OPerations research and statistics Research Papers - Academia.edu

OPerations research and statistics Research Papers - Academia.edu
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OPerations research and statistics
OPerations research and statistics
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Operations research and statistics is an interdisciplinary field that applies mathematical models, statistical analysis, and optimization techniques to decision-making processes in complex systems. It aims to improve efficiency, effectiveness, and productivity in various domains by analyzing data and formulating strategies based on quantitative insights.
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About this topic
Operations research and statistics is an interdisciplinary field that applies mathematical models, statistical analysis, and optimization techniques to decision-making processes in complex systems. It aims to improve efficiency, effectiveness, and productivity in various domains by analyzing data and formulating strategies based on quantitative insights.
Key research themes
1. How can empirical research methodologies improve rigor in operations management studies?
This research area focuses on the adoption and enhancement of empirical research practices within operations management (OM) to improve the reliability, relevance, and applicability of findings in real-world settings. It investigates statistical design considerations such as statistical power, sample size, effect size, and the integration of field data to elevate empirical rigor and operational decision-making.
Statistical power in operations management research
by
prahalam m
2017
Key finding: The paper identifies a pervasive issue of low statistical power in empirical operations management studies, analyzing 28 articles with 524 statistical tests to find that approximately 60% do not achieve high power levels....
Key finding: The paper identifies a pervasive issue of low statistical power in empirical operations management studies, analyzing 28 articles with 524 statistical tests to find that approximately 60% do not achieve high power levels. This directly impairs repeatability and weakens the inferences drawn from these studies. The authors elucidate the critical interplay of sample size, effect size, significance level, and power using probability trees, advocating for rigorous power analyses to ensure sensitivity in field-based empirical research.
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Why Empirical Research Is Good for Operations Management, and What Is Good Empirical Operations Management?
by
Marshall Fisher
2021, Manufacturing & Service Operations Management
Key finding: This paper articulates the defining characteristics of empirical OM research, emphasizing the utility of real-world data to generate prescriptive insights and phenomena identification. It highlights the nuanced distinctions...
Key finding: This paper articulates the defining characteristics of empirical OM research, emphasizing the utility of real-world data to generate prescriptive insights and phenomena identification. It highlights the nuanced distinctions of empirical OM from other fields and calls attention to the importance of instrumental data analysis for model calibration and decision improvement, underlining empirical impact on both theory building and practical optimization of operations.
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Planning and performance measurement in higher education: three case studies of operational research application
by
Eric Gómez
2023, Revista Facultad de Ingeniería Universidad de Antioquia
Key finding: By applying various operations research tools—system dynamics for capacity planning, integer programming for resource allocation, and data envelopment analysis for performance measurement—this work demonstrates the pragmatic...
Key finding: By applying various operations research tools—system dynamics for capacity planning, integer programming for resource allocation, and data envelopment analysis for performance measurement—this work demonstrates the pragmatic value of rigorous empirical models in organizational decision-making. Though focused on higher education, it exemplifies how empirical OR methods systematically support planning and performance in complex operational systems.
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2. What advancements and challenges define optimization techniques and models in operations research?
Optimization remains a foundational tool in operations research for identifying best solutions under constraints. This theme encompasses the evolution and breadth of optimization methodologies, including classical analytical solutions, modern heuristic/metaheuristic approaches, and integration of computational capabilities. Focus is also on the literature mapping and classification to guide researchers in navigation and application across diverse OR problems.
A Review on Optimization Literature Related to Operations Research Field
by
İpek Deveci
2025, Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
Key finding: This review systematically classifies 172 operations research optimization books from the last decade, outlining historical developments from classical mathematical programming (e.g., Lagrangian, conjugate gradient methods)...
Key finding: This review systematically classifies 172 operations research optimization books from the last decade, outlining historical developments from classical mathematical programming (e.g., Lagrangian, conjugate gradient methods) to contemporary metaheuristics (genetic algorithms, particle swarm optimization). It addresses methodological gaps and guides researchers in selecting relevant literature aligned with problem characteristics and solution needs.
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Special Issue “Mathematical Methods for Operations Research Problems”
by
Frank Werner
2022, Mathematics
Key finding: The collection of papers presents advances such as polynomial algorithms for scheduling problems, hybrid metaheuristic frameworks integrating machine learning for parameter tuning, and multi-criteria decision-making models...
Key finding: The collection of papers presents advances such as polynomial algorithms for scheduling problems, hybrid metaheuristic frameworks integrating machine learning for parameter tuning, and multi-criteria decision-making models for portfolio selection. These demonstrate methodological innovations that address computational tractability, parameter adaptation, and real-world problem complexity in OR optimization.
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3. How are operations research and statistical methods applied to enhance decision-making and performance measurement across diverse domains?
This theme investigates the practical applications of OR and statistics in sectors such as manufacturing, education, agriculture, and sports. It underscores the deployment of models and quantitative techniques for resource allocation, capacity planning, process optimization, and performance evaluation, often integrating domain-specific constraints and datasets.
Operations Research -Contemporary Role in Managerial Decision Making
by
IJAERS Journal
2017
Key finding: This paper asserts the increasing importance of OR techniques—such as linear programming, simulation, and queuing theory—in facilitating resource allocation and operational efficiency within complex managerial contexts. It...
Key finding: This paper asserts the increasing importance of OR techniques—such as linear programming, simulation, and queuing theory—in facilitating resource allocation and operational efficiency within complex managerial contexts. It underscores the evolution of OR from military and governmental roots to broad-scale industrial applications, advocating a multidisciplinary approach for practical decision support.
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Operations Management of Additive Manufacturing
by
Mika Salmi
2024, Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments. APMS 2024. IFIP Advances in Information and Communication Technology
Key finding: This study categorizes research on additive manufacturing (AM) from an operations management perspective, identifying that while AM enables customization, reduces inventory, and simplifies supply chains, empirical research...
Key finding: This study categorizes research on additive manufacturing (AM) from an operations management perspective, identifying that while AM enables customization, reduces inventory, and simplifies supply chains, empirical research grounded in actual operational data remains sparse. It highlights six emergent research streams focusing on AM's integration with supply chain and production systems, emphasizing the need for empirically validated operational strategies.
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Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysis
by
Shrikant Panigrahi
2023, International Journal of Engineering Business Management
Key finding: Utilizing survey data from manufacturing firms in Oman, this study leverages structural equation modeling to reveal that lean manufacturing practices significantly impact operational performance but have limited direct...
Key finding: Utilizing survey data from manufacturing firms in Oman, this study leverages structural equation modeling to reveal that lean manufacturing practices significantly impact operational performance but have limited direct influence on overall business performance. It identifies small-lot production and quick setups as the most widely adopted lean practices, offering empirical support for targeted lean interventions in emerging industrial contexts.
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Application of Response Surface Analysis of Three Factors of Fertilizer Treatment Combination to Determine the Optimum Plant Height of Maize
by
Olayinka Olusegun Oladipupo
2023, International Journal of Innovative Science and Research Technology
Key finding: Employing response surface methodology, this study concretely optimizes fertilizer combinations to maximize maize plant height. Statistically validated first and second-order models quantify interactions among poultry manure...
Key finding: Employing response surface methodology, this study concretely optimizes fertilizer combinations to maximize maize plant height. Statistically validated first and second-order models quantify interactions among poultry manure and organic minerals, demonstrating an effective use of statistical experimental design to enhance agricultural decision-making with high predictive accuracy and desirability scores.
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A New Mathematical Formula to Determine the Number of the Games in Sports Tournaments
by
Changkuoth J . Chol
2025
Key finding: This work introduces new, accessible mathematical formulas that unify the calculation of total games in leagues and games per team for single-, double-, and higher round-robin tournament scheduling. It resolves complexities...
Key finding: This work introduces new, accessible mathematical formulas that unify the calculation of total games in leagues and games per team for single-, double-, and higher round-robin tournament scheduling. It resolves complexities and misunderstandings found in traditional formulas by providing generalized expressions applicable across various sports tournament formats, thus enhancing scheduling efficiency and stakeholder understanding.
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MAKALAH ANALISIS DESKRIPTIF
by
VIDIA R A H M A PRATIWI
2026
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THE IMPACT OF QUALITY CONTROL ON THE PERFORMANCE OF SELECTED MANUFACTURING FIRMS IN LAGOS STATE, NIGERIA
by
Olawale O . Akinradewo
2026, Olawale Akinradewo
Quality control is a key driver in achieving manufacturing excellence through operational efficiency, product reliability, and market competitiveness. This study investigates the impact of quality control on the performance of...
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Quality control is a key driver in achieving manufacturing excellence through operational efficiency, product reliability, and market competitiveness. This study investigates the impact of quality control on the performance of manufacturing firms, with a specific focus on Coca-Cola Plc in Ikeja, Lagos State Nigeria. The primary objective is to evaluate how quality control dimensions such as quality control techniques, continuous quality improvement practices and physical inspection influence key manufacturing performance indicators such as customer satisfaction, product quality, and resource management. The study adopted a descriptive and mixed method research design within a quantitative framework, utilizing both primary and secondary data sources. Data were collected using structured questionnaires, analyzed with descriptive and inferential statistics. The sample size of 306 was determined using Yamane's formula (1967) from a staff population of 1,300. A stratified random sampling techniques and cross sectional was employed to distribute 306 questionnaires representing the sample size to a staff population of 1,300 across various departments. Of these, 300 responses were validly completed and returned, representing a 98.04% response rate. To ensure the reliability and validity of the research instrument, a pilot study which is a preliminary small-scale investigation undertaken prior to the major study to evaluate feasibility was conducted. Internal consistency was confirmed using Cronbach's Alpha, yielding values of 0.813, 0.749, and 0.721, all within acceptable thresholds. Data analysis was conducted using SPSS software, including Pearson correlation coefficient (r), T-tests, and bar charts. The calculated correlation coefficients (r) which are 0.8576, 0.8396, and 0.8171 demonstrated strong positive relationships, and hypotheses were tested at a 5% (0.05) level of significance to examine the relationships between Quality Control and Performance of the Manufacturing Firms. Based on the findings of this research study, it was revealed that robust quality control positively and significantly improves customer satisfaction, ensure the production of high quality products, and reduce wastage of resources in the manufacturing process. It was therefore recommended that Coca-Cola Plc and similar manufacturing firms should continuously strengthen and invest in advanced quality control practices, promote continuous improvement practices, prioritize and expand effective physical inspection processes to maintain operational efficiency and competitiveness, invest in technology and automation, implement regular training and skill development programs for employees to ensure that all employees, from line workers to managers, are equipped with the knowledge and skills needed to maintain and improve quality standards and to integrate sustainability into its quality control practices.
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A Review of the Factors Influencing Football Players' Performance in the Ethiopian Premier League, with a focus on Modeling and 10-Year National Performance Forecasting
by
Tamene D E K S I S A Geleto
2026, Tamene D. Geleto
Background: Despite Ethiopia's significant athletic heritage and high-altitude physiologica l advantages, the professional football sector has experienced a performance plateau in continenta l rankings. There is a critical need to...
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Background: Despite Ethiopia's significant athletic heritage and high-altitude physiologica l advantages, the professional football sector has experienced a performance plateau in continenta l rankings. There is a critical need to transition from descriptive observations to predictive, datadriven frameworks to optimize the talent pipeline for the national team. Objective: This study aims to identify the multi-dimensional determinants of football performance within the Ethiopian Premier League (EPL) and develop a 10-year predictive model (2025-2035) to forecast the trajectory of the Ethiopian National Team. Methods: Utilizing a longitudinal, correlational research design, the study synthesizes historica l performance data and current physiological metrics. The research employs Multiple Linear Regression (MLR) to weight determinant variables and ARIMA time-series analysis to forecast future performance trends. Key variables include aerobic capacity (VO2 max), hematologica l profiles, organizational factors, and other factors like corruption, socioeconomics, manageme nt, sport injury, and nutrition. Results: Descriptive analysis identifies that Access to Specialized Medical Care (r = 0.72) and Aerobic Capacity (r = 0.68) are the strongest predictors of player success. The regression model achieved an R 2 of 0.58, explaining 58% of the variance in performance. The 10-year forecast indicates that under a "Scientific Intervention" scenario, standardizing medical and nutritio na l protocols, the national squad could achieve a 15% increase in player "Peak Duration" and enhanced competitive stability by 2030, contrasting with the stagnation predicted by the "Status Quo" model. Conclusion: The findings suggest that Ethiopian football's progress is limited more by external constraints than by biological potential. Recommendations include the standardization of sports medicine across all EPL clubs, the establishment of a National Data Repository for longitud ina l tracking, and formal academic-athletic partnerships with institutions like Haramaya University.
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Random Walk Hypothesis : Evidence from Market Efficiency of the Zimbabwe Stock Exchange
by
Owen Jakata
2026
This study examined whether the share prices of companies listed on the Zimbabwe Stock Exchange follow the Random Walk Hypothesis. The research was motivated by the fact that investors are interested in knowing whether past share prices...
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This study examined whether the share prices of companies listed on the Zimbabwe Stock Exchange follow the Random Walk Hypothesis. The research was motivated by the fact that investors are interested in knowing whether past share prices have a propensity to forecast future share prices. The period covered by the research was January 2014 to December 2014. The main objective of the study investigated the possibility that share prices follow the Random Walk Hypothesis. The data was analysed using the Chisquare Test, the Runs Test and the Auto-correlation Test. The findings showed that changes in share prices on the ZSE refute the Random Walk Hypothesis. The study concluded that share price shifts follow some pattern or trend and that historical price changes can be used to predict future price movements. The study also concluded that the ZSE provides an opportunity for investors to create wealth as they take advantage of its weak-form inefficiency.
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APLIKASI ANALISIS DISKRIMINAN DALAM MENENTUKAN KEPUTUSAN PEMBELIAN PRODUK McCafe (Studi Kasus: McDonald’s Jimbaran Bali)
by
Thoriq Ramadhan
2026, E-Jurnal Matematika
McDonald's is one of fast food company that is growing rapidly. McDonald's continues to innovate to satisfy customers. It introduced the concept of a cafe with the name McCafe. Because of the competition with other fast food restaurants,...
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McDonald's is one of fast food company that is growing rapidly. McDonald's continues to innovate to satisfy customers. It introduced the concept of a cafe with the name McCafe. Because of the competition with other fast food restaurants, McDonald's needs to improve the quality of McCafe favored by customers. Thus, this research was conducted to aim at getting the indicators that are best describing customers characteristic. This research used discriminant analysis methods. Discriminant analysis was used to classify customers into groups of loyal customers or non loyal customers.. The indicators that distinguished the decision of the customer to buy McCafe Jimbaran product were affordable prices and locations that are easily accessible to customers. The formed discriminant function had an accuracy of 91,67 percent in classifying the customers.
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Significance of non-Fourier heat flux on the maxwell fluid flow over an inclined vertical plate: A multiple linear regression analysis
by
Dr. Gangaram Theertham
2026, International Journal of Statistics and Applied Mathematics
This study numerically investigates the significance of non-Fourier heat conduction on the magnetohydrodynamic (MHD) flow of a Maxwell fluid over an inclined vertical plate, incorporating the effects of thermal radiation and couple...
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This study numerically investigates the significance of non-Fourier heat conduction on the magnetohydrodynamic (MHD) flow of a Maxwell fluid over an inclined vertical plate, incorporating the effects of thermal radiation and couple stresses. The Cattaneo-Christov heat flux model is employed to account for finite thermal relaxation time, moving beyond the classical Fourier's law. The governing equations are transformed into a system of ordinary differential equations and solved using the bvp4c solver in MATLAB. The results indicate that the fluid velocity declines with increasing Weissenberg and couple stress parameters, while the temperature profile is enhanced by thermal radiation but diminished by the thermal relaxation parameter. Furthermore, a multiple linear regression analysis yields predictive models, revealing that the skin friction coefficient increases with the magnetic field and couple stress parameters, and the Nusselt number is augmented by the Prandtl number and thermal radiation.
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Türki̇ye Konut Fi̇yat Endeksi̇ Öngörüsü: Arima, Rassal Orman Ve Arima-Rassal Orman
by
Ebru Akay
2025
Purpose-The aim of this study is to investigate whether the models developed by using Machine Learning methods are an alternative method for forecasting time series. Methodology-Traditionally, the Autoregressive Integrated Moving Average...
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Purpose-The aim of this study is to investigate whether the models developed by using Machine Learning methods are an alternative method for forecasting time series. Methodology-Traditionally, the Autoregressive Integrated Moving Average (ARIMA) model has been one of the most widely used linear models in time series forecasting. In the study, we use Random Forest and Hybrid Random Forest-ARIMA models besides the ARIMA model and compare their forecasting performance for the Turkish Housing Price Index series. Findings-The hybrid model was found to be more successful than other methods in forecasting the housing price index. Conclusion-As a result, hybrid models that combine ARIMA and machine learning method can be used an alternative method in forecasting economic and financial data.
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Veri̇ Madenci̇li̇ği̇ Yöntemi̇ İle GSM Şebekeleri̇ni̇n Performans Anali̇zi̇
by
Serkan Savaş
2025, DergiPark (Istanbul University)
Bu çalışmada, farklı GSM şebekelerinin çekim gücü verilerini cep telefonlarından alarak veri tabanı oluşturan bir program geliştirilmiştir. Programın rastgele seçilen bir güzergâh olan Kızılcahamam ilçesi ile Gazi Üniversitesi Merkez...
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Bu çalışmada, farklı GSM şebekelerinin çekim gücü verilerini cep telefonlarından alarak veri tabanı oluşturan bir program geliştirilmiştir. Programın rastgele seçilen bir güzergâh olan Kızılcahamam ilçesi ile Gazi Üniversitesi Merkez Kampüsü arasında çalıştırılmasıyla elde edilen verilerden bir veri bankası oluşturulmuştur. Bu veriler, veri madenciliği yöntemlerinden iki aşamalı kümeleme tekniği kullanılarak analiz edilmiştir. Bu çalışmanın sonunda; A, B ve C şebekelerinin performansları belirlenmiş olup, sinyal gücü temel alındığında A şebekesinin en yüksek çekim gücüne ve istikrarlı çekim düzeyine, sinyal gücü aralıkları sınıflandırıldığında ise B şebekesinin en yüksek iyi sinyal oranına sahip olduğu gözlenmiştir.
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Is it possible that combined alpha-tocopherol and CoQ10 can combat testicular injury induced by arsenic
by
Prof. Dr. Hesham N Mustafa 🩺
2025, European Journal of Anatomy (EJA)
Arsenic emerges as a significant public health issue. Therefore, it makes sense to identify appropriate compounds to alleviate arsenic toxicity. Alpha-tocopherol and Coenzyme Q10 were tested for their ability to avert arsenic effects. 30...
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Arsenic emerges as a significant public health issue. Therefore, it makes sense to identify appropriate compounds to alleviate arsenic toxicity. Alpha-tocopherol and Coenzyme Q10 were tested for their ability to avert arsenic effects. 30 mice were recruited and divided into 5 groups, each consisting of six animals. The mice in these 5 groups were exposed to drinking water (136 parts per million of arsenic). The whole duration was 30 days. The control group received only free distilled water. The arsenic (As) group was treated with water containing arsenic. (As+α-tocopherol) group received arsenic and alpha-tocopherol (50 mg/kg bw). The As+CoQ10 group was treated with arsenic and CoQ10 (10 mg/kg b.wt.), while the As+α-tocopherol+CoQ10 group was treated with arsenic and a combination of both. According to biochemical data, the group exposed to arsenic had significantly lower levels of reduced glutathione, total thiol, and superoxide dismutase than the control group, while its level of lipid peroxidation was higher. Antioxidant treatment mitigated these changes. Alpha-tocopherol, CoQ10, and a combination of these substances reduce the changes caused by arsenic, which causes DNA damage in blood cells by exhibiting a significantly lower head DNA percentage and a higher tail DNA percentage, tail length, and tail moment. In conclusion, Alpha-tocopherol and CoQ10 together is more effective than using these antioxidants separately against arsenic.
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Ekonomik Endeksler Kullanılarak Türkiye’deki Altın Fiyatındaki Değişim Yönünün Yapay Sinir Ağları İle Tahmini
by
cevdet ilker kocatepe
2025, Düzce Üniversitesi bilim ve teknoloji dergisi
Bu çalışmada, yapay sinir ağları kullanılarak altın fiyat değişim yönü tahmin edilmiştir. Altın fiyatındaki değişimlerin tahmini araştırmacılar ve özellikle yatırımcı olan karar vericiler açısından önem taşıyan bir konudur. Literatürde...
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Bu çalışmada, yapay sinir ağları kullanılarak altın fiyat değişim yönü tahmin edilmiştir. Altın fiyatındaki değişimlerin tahmini araştırmacılar ve özellikle yatırımcı olan karar vericiler açısından önem taşıyan bir konudur. Literatürde altın fiyatını etkileyen parametrelerin belirlenmesi ve altın değerinin tahmin edilmesi amacıyla farklı yöntemler ile yapılmış birçok çalışma bulunmaktadır. Tahmin yöntemleri, kantitatif ve kalitatif yöntemler olarak ikiye ayrılmaktadır. Bu çalışmada kantitatif yöntemler arasında yer alan yapay sinir ağları kullanılarak altın fiyatındaki değişim yönünün (Artış -Azalış) tahmin edilmesi hedeflenmiştir. Çalışmada 2007 ile 2015 yılları arasındaki aylık veriler kullanılmıştır. Çalışmada bağımlı değişken olarak Türkiye'deki altının gram fiyatı esas alınmış ve bağımsız değişkenler olarak ham petrol fiyatı, dolar endeksi, dolar kuru, Standard&Poor's 500 endeksi, BIST100 endeksi, Türkiye enflasyon, tahvil ve faiz oranları, ABD enflasyon, tahvil ve faiz oranları, gümüş ve bakır fiyatları kullanılmıştır. Çalışmada, bağımlı değişkenin gelecekteki değerinin tahmininin yapılması için, bağımsız değişkenlerin bir ay önceki değerleri kullanılmıştır. Çalışma neticesinde gram altın fiyatındaki değişim yönünün tahmin başarım oranı %75,24 olarak bulunmuştur.
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Laser Incident in the NASA Unitary Plan Wind Tunnel
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James Heineck
2025
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Kamu ve Yükseköğretim Ar-Ge Performansının Özel Sektör Ar-Ge Harcamalarına Etkisi: Seçilmiş OECD Ülkeleri Örneği
by
Mustafa Gömleksiz
2025, Sustainable Welfare
Firmalar bünyesinde gerçekleştirilen yüksek katma değerli mal ve hizmet üretiminin merkezinde yer alan inovasyonlar, modern ekonomilerde sürdürülebilir büyüme ve kalkınmanın temelini oluşturmaktadır. Bu bağlamda, inovasyonları ortaya...
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Firmalar bünyesinde gerçekleştirilen yüksek katma değerli mal ve hizmet üretiminin merkezinde yer alan inovasyonlar, modern ekonomilerde sürdürülebilir büyüme ve kalkınmanın temelini oluşturmaktadır. Bu bağlamda, inovasyonları ortaya çıkaran Ar-Ge faaliyetlerinin finansmanı teknolojik ilerleme ve rekabet gücünün sağlanmasında hayati önemdedir. Bu çalışmada kamu ve yükseköğretim sektörleri tarafından gerçekleştirilen Ar-Ge performansının özel sektör Ar-Ge harcamaları üzerindeki uzun dönem etkisi incelenmektedir. 1997-2021 yılları arası dönemi kapsayan panel veri setine ilişkin bulgular, kamu Ar-Ge harcamalarının özel sektör Ar-Ge faaliyetleri üzerinde anlamlı bir etkisine işaret etmezken, kamu tarafından finanse edilen Ar-Ge'nin özel sektör Ar-Ge harcamalarını önemli şekilde artırdığını göstermektedir. Bu kapsamda kamu Ar-Ge'sinin firmaların kendi Ar-Ge faaliyetleri kapsamında kaldıraç işlevi gördüğü ifade edilebilir. Bu işlev finansman engelleri ve stratejik sektörlerdeki Ar-Ge maliyetlerinin indirgenmesinin yanı sıra Ar-Ge'yi teşvik eden hibe, sübvansiyon ve vergi uygulamaları ile ilişkilendirilebilmektedir. İkinci olarak, yükseköğretim Ar-Ge harcamalarının özel sektör Ar-Ge harcamaları kapsamında tamamlayıcı bir etki yarattığı sonucuna varılmaktadır. Bu etkinin özellikle bilgi taşmaları, uzman işgücü ve iş birliği kanallarıyla ortaya çıktığı söylenebilir. Üçüncü olarak, ülke düzeyinde beşerî sermayenin niteliğine ilişkin ortaya çıkan farklılıkların Ar-Ge faaliyetlerinde insan faktörünün katkısını sınırladığı anlaşılmaktadır. Bu kapsamda, çoğunlukla eğitim sistemindeki yetersizliklere bağlı bilgi ve beceri eksiklikleri, vasıflı işçilerin sektörel dağılımındaki dengesizlik ve işgücüne ilişkin yüksek maliyetlerin beşerî sermayenin Ar-Ge faaliyetlerindeki rolünde ülkeler arası eşitsizliklere yol açabilmektedir. Son olarak, ekonomik gelişmişliğin özel sektör Ar-Ge'sinde kritik bir rol oynadığı görülmektedir. Bu durum özellikle ekonomik gelişmeye paralel olarak güçlü kurumsal yapılara bağlı kanunlar, düzenlemeler ve destekler, gelişmiş araştırma altyapıları, çeşitlenmiş piyasa talebi ve küresel iş birliği ile finansman ağlarının önemine işaret etmektedir.
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Analyzing Financial Risk and Profitability in the UAE Banking Sector
by
mukdad ibrahim
2025, International Journal of Finance & Banking Studies (2147-4486)
The paper examines four main sources of financial risk exposure for four banks in the United Arab Emirates during the years 2003 to 2009. It begins by measuring stability levels for different types of financial risks using the coefficient...
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The paper examines four main sources of financial risk exposure for four banks in the United Arab Emirates during the years 2003 to 2009. It begins by measuring stability levels for different types of financial risks using the coefficient of variation measure. The research then proceeds to investigate the nature of the relationship between financial risk and the actual reported financial performance of each company, namely the return on equity and return on assets. The findings show that all four sources of financial risk showed significant stability while both profitability indicators exhibited significant instability over the same period. Moreover, performance on the return on assets indicator was strongly and positively tied to a company’s return on equity indicator across the four banks but exhibited little or no interconnection with the four types of risks that banks are commonly exposed.
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An algorithm for the minimization of nonsmooth nonconvex functions using inexact evaluations and its worst-case complexity
by
Serge Gratton
2025, Mathematical Programming
An adaptive regularization algorithm using inexact function and derivatives evaluations is proposed for the solution of composite nonsmooth nonconvex optimization. It is shown that this algorithm needs at most O(| log(ǫ)| ǫ -2 )...
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An adaptive regularization algorithm using inexact function and derivatives evaluations is proposed for the solution of composite nonsmooth nonconvex optimization. It is shown that this algorithm needs at most O(| log(ǫ)| ǫ -2 ) evaluations of the problem's functions and their derivatives for finding an ǫ-approximate first-order stationary point. This complexity bound therefore generalizes that provided by [Bellavia, Gurioli, Morini and Toint, 2018] for inexact methods for smooth nonconvex problems, and is within a factor | log(ǫ)| of the optimal bound known for smooth and nonsmooth nonconvex minimization with exact evaluations. A practically more restrictive variant of the algorithm with worst-case complexity O(| log(ǫ)| + ǫ -2 ) is also presented.
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Minimization of nonsmooth nonconvex functions using inexact evaluations and its worst-case complexity
by
Serge Gratton
2025, arXiv (Cornell University)
An adaptive regularization algorithm using inexact function and derivatives evaluations is proposed for the solution of composite nonsmooth nonconvex optimization. It is shown that this algorithm needs at most O(| log(ǫ)| ǫ -2 )...
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An adaptive regularization algorithm using inexact function and derivatives evaluations is proposed for the solution of composite nonsmooth nonconvex optimization. It is shown that this algorithm needs at most O(| log(ǫ)| ǫ -2 ) evaluations of the problem's functions and their derivatives for finding an ǫ-approximate first-order stationary point. This complexity bound therefore generalizes that provided by for inexact methods for smooth nonconvex problems, and is within a factor | log(ǫ)| of the optimal bound known for smooth and nonsmooth nonconvex minimization with exact evaluations. A practically more restrictive variant of the algorithm with worst-case complexity O(| log(ǫ)| + ǫ -2 ) is also presented.
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An algorithm for the minimization of nonsmooth nonconvex functions using inexact evaluations and its worst-case complexity
by
Serge Gratton
2025, Mathematical Programming
An adaptive regularization algorithm using inexact function and derivatives evaluations is proposed for the solution of composite nonsmooth nonconvex optimization. It is shown that this algorithm needs at most O(| log(ǫ)| ǫ -2 )...
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An adaptive regularization algorithm using inexact function and derivatives evaluations is proposed for the solution of composite nonsmooth nonconvex optimization. It is shown that this algorithm needs at most O(| log(ǫ)| ǫ -2 ) evaluations of the problem's functions and their derivatives for finding an ǫ-approximate first-order stationary point. This complexity bound therefore generalizes that provided by [Bellavia, Gurioli, Morini and Toint, 2018] for inexact methods for smooth nonconvex problems, and is within a factor | log(ǫ)| of the optimal bound known for smooth and nonsmooth nonconvex minimization with exact evaluations. A practically more restrictive variant of the algorithm with worst-case complexity O(| log(ǫ)| + ǫ -2 ) is also presented.
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Digital India: A New Change in Gwalior City, Madhya Pradesh
by
Megha soni
2025
Digital India is the most challenging programme in our country. Digital India is the outcome of many innovations and technological development. These transform the lives of people in different standard and will empower the society in a...
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Digital India is the most challenging programme in our country. Digital India is the outcome of many innovations and technological development. These transform the lives of people in different standard and will empower the society in a better manner. The 'Digital India' programme is an initiative of honorable Prime Minister Mr. Narendra Modi. The motive behind the concept is to build participative, transparent and responsive system for next generation. This paper aims to find the new changes of digital India project in Gwalior city, M.P. In this research 150 respondents of different age group were examined. Chronbach alpha reliability and One-Way ANOVA test were applied to test the data. SPSS 21 was used to analyse the data. This research paper will helpful to Gwalior city to know how they should target different age group persons to increase their participation in Digital India project.
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Stock Volatility Prediction using Time Series and Deep Learning Approach
by
Jaydip Sen
2025, arXiv (Cornell University)
Volatility clustering is a crucial property that has a substantial impact on stock market patterns. Nonetheless, developing robust models for accurately predicting future stock price volatility is a difficult research topic. For...
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Volatility clustering is a crucial property that has a substantial impact on stock market patterns. Nonetheless, developing robust models for accurately predicting future stock price volatility is a difficult research topic. For predicting the volatility of three equities listed on India's national stock market (NSE), we propose multiple volatility models depending on the generalized autoregressive conditional heteroscedasticity (GARCH), Glosten-Jagannathan-GARCH (GJR-GARCH), Exponential general autoregressive conditional heteroskedastic (EGARCH), and LSTM framework. Sector-wise stocks have been chosen in our study. The sectors which have been considered are banking, information technology (IT), and pharma. yahoo finance has been used to obtain stock price data from Jan 2017 to Dec 2021. Among the pulled-out records, the data from Jan 2017 to Dec 2020 have been taken for training, and data from 2021 have been chosen for testing our models. The performance of predicting the volatility of stocks of three sectors has been evaluated by implementing three different types of GARCH models as well as by the LSTM model are compared. It has been observed the LSTM performed better in predicting volatility in pharma over banking and IT sectors. In tandem, it was also observed that E-GARCH performed better in the case of the banking sector and for IT and pharma, GJR-GARCH performed better.
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Determinants of Financial Sustainability of Financial Intermediaries
by
Professor H.D.D.Champika Liyanagamage
2025, International Journal of Finance & Banking Studies (2147-4486)
This paper provides interesting insights into the practices of banks and institutional setting in Sri Lanka. The sustainability and stability of banks that makes up an economy’s banking system should be sound at all time. This paper aimed...
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This paper provides interesting insights into the practices of banks and institutional setting in Sri Lanka. The sustainability and stability of banks that makes up an economy’s banking system should be sound at all time. This paper aimed at analyzing the determinants of banking sector stability in Sri Lanka. The study used a broad set of macro and bank level data covering 22 commercial banks for the period 1996-2016. The fixed effect GLS panel data model tested in this paper sets the relationship between bank stability measure; Z-score and business environment which includes bank characteristics and the elements of macro environment. The analysis of the study revealed lower level of Z-scores and thus lower level of bank stability, indicating a higher risk associated with the commercial banking sector in Sri Lanka.  From among the variables tested, strong evidence was found for a positive effect of bank efficiency on bank stability and a negative effect of credit growth on bank stab...
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Bir Kapı-Doğrama Süreci Belirsizlik Analizi için Bulanık Modelleme
by
Selman Karayilmazlar
2025
Isletmeler gunumuz rekabet ortamina ayak uydurabilmek icin yonetim, uretim/hizmet sureclerinin butununde, musteri memnuniyetinin on planda tutuldugu iyilestirme calismalarinda bulunmaktadir. Turkiye’de bu calismalarin en etkili ornekleri...
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Isletmeler gunumuz rekabet ortamina ayak uydurabilmek icin yonetim, uretim/hizmet sureclerinin butununde, musteri memnuniyetinin on planda tutuldugu iyilestirme calismalarinda bulunmaktadir. Turkiye’de bu calismalarin en etkili ornekleri insaat sektorunde gerceklestirilmektedir. Kuresel insaat sanayinde kendini ispatlamis bircok Turk firmasi mevcut kaynak yonetimini iyilestirme ve kontrol altina alma calismalari icerisindedir. Isletmeler bunyelerinde yan sanayi gereksinimlerini karsiladiklari birimler kurmaktadirlar. Bunun yani sira, isletmeler icin surec iyilestirme calismalarinda bilimsel yontemlere dayali degerlendirmelerin onemi artmaktadir. Bu calismada, bir sirketler toplulugunun yan sanayi ihtiyaclarini karsilamak amaci ile kurdugu kapi dograma fabrikasinda birim kapi imalat surecinin modellenmesi icin bir yaklasim onerilmektedir. Bu yaklasim uc asamadan olusmaktadir: i) Birim kapi imalatinda problem kaynaginin tespit edilerek veri tabanlarinin olusturulmasi, ii) Olusturulan ...
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Bir Kapı-Doğrama Süreci Belirsizlik Analizi için Bulanık Modelleme
by
Selman Karayilmazlar
2025, DOAJ (DOAJ: Directory of Open Access Journals)
İşletmeler günümüz rekabet ortamına ayak uydurabilmek için yönetim, üretim/hizmet süreçlerinin bütününde, müşteri memnuniyetinin ön planda tutulduğu iyileştirme çalışmalarında bulunmaktadır. Türkiye'de bu çalışmaların en etkili örnekleri...
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İşletmeler günümüz rekabet ortamına ayak uydurabilmek için yönetim, üretim/hizmet süreçlerinin bütününde, müşteri memnuniyetinin ön planda tutulduğu iyileştirme çalışmalarında bulunmaktadır. Türkiye'de bu çalışmaların en etkili örnekleri inşaat sektöründe gerçekleştirilmektedir. Küresel inşaat sanayinde kendini ispatlamış birçok Türk firması mevcut kaynak yönetimini iyileştirme ve kontrol altına alma çalışmaları içerisindedir. İşletmeler bünyelerinde yan sanayi gereksinimlerini karşıladıkları birimler kurmaktadırlar. Bunun yanı sıra, işletmeler için süreç iyileştirme çalışmalarında bilimsel yöntemlere dayalı değerlendirmelerin önemi artmaktadır. Bu çalışmada, bir şirketler topluluğunun yan sanayi ihtiyaçlarını karşılamak amacı ile kurduğu kapı doğrama fabrikasında birim kapı imalat sürecinin modellenmesi için bir yaklaşım önerilmektedir. Bu yaklaşım üç aşamadan oluşmaktadır: i) Birim kapı imalatında problem kaynağının tespit edilerek veri tabanlarının oluşturulması, ii) Oluşturulan veri tabanları için üyelik değerlerinin hesaplanması, iii) Veri tabanlarının üyelikleri ile birlikte bulanık (regresyon) fonksiyonlar kullanılarak modellenmesi. Fabrikada problem birim kapı imalatının hedeflenenden daha uzun sürmesidir. Birinci aşamada, balıkkılçığı diyagramı ile problemin etkili nedenleri belirlenmektedir. Pareto analizi ile kapı imalatında harcanan süre bakımından etkili olan ana parçalar ve alt işlemleri seçilerek veri tabanları oluşturulmaktadır. İkinci aşamada, bu veri tabanlarının yapısı kaynaklı belirsizlikler için bulanık öbekleme ile üyelik değerleri hesaplanmaktadır. Üçüncü aşamada, veri tabanları ve üyelikleri bulanık (regresyon) fonksiyonları ile modellenmektedir. Önerilen yaklaşıma göre belirlenen kapı kanadı ve kasası veri tabanlarının bulanık öbeklenme yapıları, sırasıyla, %93,0 ve %94,0 doğruluk oranları ile oluşturulmuştur. Sonuç olarak, birim kapı imalat-süreleri için belirlenen bulanık fonksiyon performans sonuçlarının (kapı kanadı için R 2 =%73,8 ve HKOK=0,455; kapı kasası için R 2 =%72,8 ve HKOK=0,553) klasik regresyondan daha iyi olduğu görülmüştür.
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Create an AI-based Model for Dynamic Risk Management in Equity Portfolios that Accounts for Extreme Market Events (e.g., Pandemics, Financial Crises)
by
Shaikh M A Sarfarazurrehman
2025, Journal of Information Systems Engineering and Management
The integration of Artificial Intelligence (AI) into financial risk management has opened new avenues for enhancing the resilience of equity portfolios, particularly during extreme market events such as pandemics and financial...
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The integration of Artificial Intelligence (AI) into financial risk management has opened new avenues for enhancing the resilience of equity portfolios, particularly during extreme market events  such  as  pandemics  and  financial  crises.  This  paper  proposes  an  AI-based  model  for dynamic risk management in equity portfolios, aiming to address the limitations of traditional static risk models by incorporating advanced machine learning techniques and real-time data analysis.  The  model  leverages  diverse  data  sources,  including  market  indicators,  economic indicators,  and  alternative  data,  to  predict  and  manage  risks  effectively.  Through  a comprehensive  literature  review  and  methodological  framework,  this  study  highlights  the potential of AI in transforming risk management practices and improving portfolio performance during periods of heightened market volatility
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Comparison of Different Volatility Model on Dhaka Stock Exchange
by
Imran Parvez
2025
Dhaka stock exchange (DSE) is a very hazardous market, so its volatility forecasting would be a very difficult and necessary task. The behaviour of Stock Market is different from market to market. So a unique time series model couldn’t be...
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Dhaka stock exchange (DSE) is a very hazardous market, so its volatility forecasting would be a very difficult and necessary task. The behaviour of Stock Market is different from market to market. So a unique time series model couldn’t be a best forecasting technique for all stock market because of their varying nature. There are various types of time series model like Expected weighted moving average model, GARCH-type models, Moving Average models, Exponential smoothing model and so on. In this paper our objective is to compare the ability of different types of models to forecast volatility of Dhaka stock exchange.
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Pemilihan Acacia mangium untuk Sumber Benih dengan Teknik Analisis Bip dan Korespondensi di Parungpanjang, Bogor, Jawa Barat Selection of Acacia mangium Willd. Provenances for Seed Source by Technique of Bi-plot and Correspondence Analysis at Parungpanjang, Bogor, West Java
by
Dede J. Sudrajat
2025, Jurnal Manajemen Hutan Tropika
observed in this research were tree height (X 1 ), clear bole (X 2 ), tree diameter (X 3 ), tree volume (X 4 ), stem form (X 5 ), branching system (X 6 ), dan bentuk tajuk (X 7 ). Analisis yang digunakan dalam penelitian ini adalah...
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observed in this research were tree height (X 1 ), clear bole (X 2 ), tree diameter (X 3 ), tree volume (X 4 ), stem form (X 5 ), branching system (X 6 ), dan bentuk tajuk (X 7 ). Analisis yang digunakan dalam penelitian ini adalah analisis biplot dan korespondensi.
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Calculation of Estimated Severity Claim for Property All Risk Insurance Product Using Statistical Distributions
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Handayani Utomo
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Farrah Suhrawarti
2025, AIP Conference Proceedings
An insurance claim is a demand made by the insured, which becomes the obligation of the insurance company (insurer) according to the contract of insurance between policyholders and the insurer. The calculation of estimated claim severity...
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An insurance claim is a demand made by the insured, which becomes the obligation of the insurance company (insurer) according to the contract of insurance between policyholders and the insurer. The calculation of estimated claim severity is necessary so that the company can build claim reserves appropriately and accurately. One of the methods for calculating the estimated claim severity is by using statistical distributions. The author wants to calculate the estimated claim severity using this method to find out which distribution is best for modeling insurance claims data, where the results will later be compared with the initial claim for reserves in the settlement process (initial reserves) PT XYZ. This was done by the author to find out that the claim estimation calculation method using this statistical distribution could be more accurate. In this research, the author used claim data for property all risk insurance product for years of 2017 2021 at PT XYZ and data on the initial reserve value determined by PT XYZ is IDR 100.000.000. Based on the results of the research, the Lognormal distribution is a good statistical distribution for modeling the estimation of claim severity. This can be seen from the Kolmogorov Smirnov test which was carried out with a significance level of 5% and considering the smallest Akaike's Information Criterion (AIC) value. The estimated total value of property all risk insurance product claims using the Lognormal distribution is IDR 103.244.948. This shows that this value is not significantly different from the initial reserve set by PT XYZ. However, the estimated claim severity obtained from this research can be more accurate because it describes the actual value by looking at the entire distribution of the data.
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Dasar Dasar Rancangan Percobaan Sigit Nugroho
by
Ghalis Azzura
2025, Andre
Dasar rancob
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Penggunaan Kernel Principal Component Analysis Fungsi Polinomial Dalam Menyelesaikan Masalah Pengelompokan Plot Peubah Ganda
by
Hanny A H Komalig
2025, d'CARTESIAN
Tujuan dari penelitian ini yaitu mempelajari penggunaan kernel PCA fungsi polinomial untuk membantu menyelesaikan masalah plot peubah ganda terutama yang berhubungan dalam pengelompokan. Data yang digunakan dalam penelitian ini adalah...
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Tujuan dari penelitian ini yaitu mempelajari penggunaan kernel PCA fungsi polinomial untuk membantu menyelesaikan masalah plot peubah ganda terutama yang berhubungan dalam pengelompokan. Data yang digunakan dalam penelitian ini adalah data sekunder yang berupa plot peubah ganda. Metode kernel adalah salah satu cara untuk mengatasi kasus-kasus yang tidak linier. Kernel PCA merupakan PCA yang diaplikasikan pada input data yang telah ditransformasikan ke feature space. Misalkan F: Rn®F fungsi yang memetakan semua input data xiÎRn, berlaku F(xi)ÎF. Salah satu kernel yang banyak digunakan adalah kernel polinomial. Dimana h0 adalah parameter skala yang akan dipilih. Fungsi kernel polynomial  K(xi, xj‘) = (xiT, xj‘ + h0)d. Hasil dari penelitian ini menunjukkan bahwa penggunaan Kernel Principal Component Analysis (KPCA) dengan fungsi kernel polinomial sangat membantu dalam menyelesaikan masalah plot peubah ganda yang belum dapat dikelompokan dengan garis pemisah yang linier. Kata kunci : Ke...
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Representasi Kanonik Untuk Fungsi Karakteristik Dari Sebaran Terbagi Tak Hingga
by
Eka Rahmi Kahar
2025, Jurnal Matematika UNAND
Fungsi karakteristik dari sebaran terbagi tak hingga dapat dikarakterisasi kedalam suatu formula umum yang disebut sebagai representasi kanonik fungsi karakteristik sebaran terbagi tak hingga. Representasi kanonik tersebut dapat dilakukan...
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Fungsi karakteristik dari sebaran terbagi tak hingga dapat dikarakterisasi kedalam suatu formula umum yang disebut sebagai representasi kanonik fungsi karakteristik sebaran terbagi tak hingga. Representasi kanonik tersebut dapat dilakukan denganmenentukan ukuran Levy dari sebaran yang bersesuaian. Sebaran Normal dan SebaranEksponensial merupakan sebaran terbagi tak hingga sehingga dapat dibentuk representasi kanonik fungsi karakteristiknya.
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Provable Phase retrieval via Mirror Descent
by
Claude Amra
2024, HAL (Le Centre pour la Communication Scientifique Directe)
In this paper, we consider the problem of phase retrieval, which consists of recovering an n-dimensional real vector from the magnitude of its m linear measurements. We propose a mirror descent (or Bregman gradient descent) algorithm...
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In this paper, we consider the problem of phase retrieval, which consists of recovering an n-dimensional real vector from the magnitude of its m linear measurements. We propose a mirror descent (or Bregman gradient descent) algorithm based on a wisely chosen Bregman divergence, hence allowing to remove the classical global Lipschitz continuity requirement on the gradient of the non-convex phase retrieval objective to be minimized. We apply the mirror descent for two random measurements: the i.i.d standard Gaussian and those obtained by multiple structured illuminations through Coded Diffraction Patterns (CDP). For the Gaussian case, we show that when the number of measurements m is large enough, then with high probability, for almost all initializers, the algorithm recovers the original vector up to a global sign change. For both measurements, the mirror descent exhibits a local linear convergence behaviour with a dimension-independent convergence rate. Our theoretical results are finally illustrated with various numerical experiments, including an application to the reconstruction of images in precision optics.
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Examining the effect of credit default swap on imports
by
Turgay MÜNYAS
2024, Gazi iktisat ve işletme dergisi
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From error bounds to the complexity of first-order descent methods for convex functions
by
Jérôme Bolte
2024, arXiv (Cornell University)
Dedicated to Jean-Pierre Dedieu who was of great inspiration to us.
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Supply Chain Modelling and Simulation of Hemp Fiber Production in Ireland
by
Mika Salmi
2024, In Proceedings of the 14th International Conference on Simulation and Modeling Methodologies
With the growing concerns of environmental issues and awareness of sustainable materials and energy, industrial hemp has been proposed as one of the strategies to react to the ecological crisis and challenges that are caused by the...
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With the growing concerns of environmental issues and awareness of sustainable materials and energy, industrial hemp has been proposed as one of the strategies to react to the ecological crisis and challenges that are
caused by the transition from the original power plant to a sustainable ecosystem in Midland Ireland, with
the support Just Transition Funds which the Irish government introduced. Industrial hemp has a wide range
of applications and commercial value, and it is a choice that benefits both ecology and the economy in Ireland. However, a very limited focus has been put on hemp fibre production, compared to Cannabidiol-related
products. Few studies have established a hemp production and management framework from raw materials to
sales. Few studies can provide auxiliary information for the feasibility analysis of growing industrial hemp.
This study aims to contribute to the feasibility study of hemp fibre production in Ireland by modelling and
simulations of the supply chain of hemp animal bedding in Ireland. This paper establishes the supply chain
framework for hemp production. It presents the results of the supply chain simulations in 5 scenarios for hemp
animal bedding in Ireland. The supply chain modelling visualizes project structures, provides relevant simulation data results to aid decision-making, and establishes the basis for subsequent models. It is concluded that
there is still potential for hemp fibre production, and it is feasible to adapt hemp fibre production in Midland
Ireland from both sustainable and economic aspects
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Estimasi Parameter Distribusi Pareto
by
Keristina Br Ginting
2024, JURNAL DIFERENSIAL
Distribusi pareto (Generalized Pareto Distribution/GPD) diperkenalkan pertama kali oleh Pickands pada tahun 1975. Distribusi pareto lebih sering digunakan untuk pemodelan data ekstrim seperti hidrologi, klimatologi, dan udara. Distribusi...
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Distribusi pareto (Generalized Pareto Distribution/GPD) diperkenalkan pertama kali oleh Pickands pada tahun 1975. Distribusi pareto lebih sering digunakan untuk pemodelan data ekstrim seperti hidrologi, klimatologi, dan udara. Distribusi Pareto mempunyai dua parameter yaitu parameter skala ( ) dan parameter bentuk (  ). Hasil estimasi parameter menggunakan metode maximum likelihood (MLE) adalah 2
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Model regresi tersensor kiri pada nilai amatan nol
by
Fitria Virgantari
2024
Research aims at estimating censored regression model and ordinary regression model on 500 artificial observations containing zero value of dependent variables have been carried out. Criteria of best model were used according to...
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Research aims at estimating censored regression model and ordinary regression model on 500 artificial observations containing zero value of dependent variables have been carried out. Criteria of best model were used according to properties of unbiasedness and minimum variance estimator. Results show that parameter estimate of censored regression model is more accurate than ordinary regression model. Censored regression model also yield smaller MSE (Mean Square Error) than ordinary regression model indicating that censored regression model is better than ordinary regression model.
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Completion of the standard power-law model by including upper and lower probability bounds
by
Frans J Van Droogenbroeck
2024
Power-laws are assumed to evolve according a loglinear pattern. In practise, they are almost always subject to probability bounds in the upper and lower frequency ranges. This paper focuses on the completion of the standard power-law...
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Power-laws are assumed to evolve according a loglinear pattern. In practise, they are almost always subject to probability bounds in the upper and lower frequency ranges. This paper focuses on the completion of the standard power-law model by including the missing parameters.
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Writing practitioner case studies to help behavioural OR researchers ground their theories: application of the mangle perspective
by
Richard Ormerod
2024, Journal of the Operational Research Society
Behavioural research into the practice of OR needs to be grounded. Case studies written by practitioners can potentially help address this need but currently most do not. The paper explores a way of describing OR projects that place the...
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Behavioural research into the practice of OR needs to be grounded. Case studies written by practitioners can potentially help address this need but currently most do not. The paper explores a way of describing OR projects that place the emphasis on the 'actors' who provide the motivating force and the consequences of their actions. The 'mangle' perspective focuses on the dynamic intertwining of people, technology and concepts; this can provide the basis for an insightful narrative describing the reality of the project in terms of the planned approach, the problems met and the outcomes. Two examples are given, one of a conventional model building exercise, the second of a 'soft OR' intervention: both describe projects conducted by practitioners for commercial purposes. It is concluded that, by using the mangle perspective, the OR case writer can winnow the wheat from the chaff in order to write a succinct informative narrative, a narrative that could be utilized by behavioural OR (BOR) researchers. It is further concluded that BOR researchers should engage with 'practice theory' to deepen their understanding of what actually happens in projects.
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CRITIC-AROMAN Yöntemleri ile Makro Göstergeler Işığında Mınt Ülkelerinin Makroekonomik Performansının Değerlendirilmesi: 2020-2023 Dönemi Analizi
by
Selahattin BEKTAŞ, PhD
2024, Finans Politik ve Ekonomik Yormlar
Bu çalışmanın amacı 2020-2023 dönemi için MINT (Türkiye, Endonezya, Nijerya ve Meksika) ülkelerinin makroekonomik göstergeler ile makroekonomik performanslarının değerlendirmesini amaçlamaktadır. Bu doğrultuda iki farklı ÇKKV yöntemi...
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Bu çalışmanın amacı 2020-2023 dönemi için MINT (Türkiye, Endonezya, Nijerya ve Meksika) ülkelerinin makroekonomik göstergeler ile makroekonomik performanslarının değerlendirmesini amaçlamaktadır. Bu doğrultuda iki farklı ÇKKV yöntemi kullanılmıştır. Bu yöntemler CRITIC ve AROMAN yöntemleridir. CRITIC yöntemi ile kriterlere ilişkin önem ağırlıkları hesaplanmıştır. AROMAN yöntemiyle de karar birimlerine ilişkin performans sıralaması gerçekleştirilmiştir. CRITIC yönteminin sonuçlarına göre en önemli kriter ağırlığının İşsizlik (N5) olduğu tespit edilmiştir. AROMAN yöntemine göre tüm yıllarda en iyi makroekonomik performansı gösteren ülkeler sırasıyla Türkiye, Endonezya ve Meksika olurken, en kötü performans gösteren ülkenin Nijerya olduğu belirlenmiştir. Ayrıca ülkelerin Borda puanlarına göre de analiz dönemi boyunca en iyi makro performansı sergileyen ülke Türkiye’dir.
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Investigating the Impact of Greenhouse Gases on Climate Change through SPSS-Based Analysis
by
Khatun A Jannat Chowdhury
2024
The primary objective of this paper is to thoroughly investigate the impact of greenhouse gas emissions on the global temperature of planet Earth by employing a comprehensive statistical analysis via SPSS software.
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Operations Management of Additive Manufacturing
by
Mika Salmi
2024, Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments. APMS 2024. IFIP Advances in Information and Communication Technology
This article reviews the growing literature on additive manufacturing (AM) operations management and sheds light on the emerging research areas in this field. As the AM use cases of final parts rapidly expand, it is essential to focus on...
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This article reviews the growing literature on additive manufacturing (AM) operations management and sheds light on the emerging research areas in this field. As the AM use cases of final parts rapidly expand, it is essential to focus on the operations management of this technology and determine the primary current and future research streams. A literature study method is utilized to select, review, and categorize articles in the field of AM. The 108 articles selected after the initial evaluation were carefully examined and categorized. The selected papers evaluate AM from an operations management perspective. This article categorizes the body of knowledge studying the application and operations management of additive manufacturing into three categories: studies concerned with the industry's current state, forward-looking studies with a conceptual approach, and forward-looking papers with empirical grounding. Different AM processes studied are also considered. Our categorization showed that the latter category is still under-researched and presents an opportunity for future investigations. Moreover, six emerging streams of research in the third category were recognized. In addition to pointing out the areas of research that require more attention, this article aims to assist the researchers in better positioning their research.
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Gözaltıların İnsan Hakları ve Demokratik Şeffaflık Çerçevesinde Denetimi
by
Bayram Erzurumluoglu
2024
Ulkemizde polis veya jandarma tarafindan gozaltinda alinan kisilere kotu muamele veya iskence yapildigi iddialari kamuoyunun gundemini zaman zaman mesgul edebilmektedir. Bir insanlik sucu olan iskence veya kotu muamelenin butun medeni...
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Ulkemizde polis veya jandarma tarafindan gozaltinda alinan kisilere kotu muamele veya iskence yapildigi iddialari kamuoyunun gundemini zaman zaman mesgul edebilmektedir. Bir insanlik sucu olan iskence veya kotu muamelenin butun medeni ulkeler gibi ulkemizde de onlenmesi icin gerekli tedbirler almaya calisilmaktadir. Ancak, alinan bircok tedbire ragmen, ulkemizde bagimsiz bir gozalti gozlemciligi sisteminin bulunmamasindan kaynaklanan sikintilar, hak ihlalleri yasanabilmektedir. Bu yazida nezaret altina alinan suc suphelilerinin haklarinin korunmasi konusunda Ingiltere ’de uygulanan ve Avrupa Birligi Iskenceyi Onleme Komitesi tarafindan butun ulkelerde uygulanmasi tavsiye edilen Bagimsiz Gozalti Gozlemciligi’sistemi incelenerek ulkemizde de benzer bir uygulamanin suc zanlilarinin haklarinin korunmasi ve toplumsal acidan etkileri degerlendirilmektedir
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A Case Study on Outpatient Waiting Time for Treatment with Single Server Queuing Model at Public Eye Hospital in Bangladesh
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Obaidul Haque
2024
In public hospital outdoor patient services all over the world have become an important component of health care. Queuing is a major challenge for healthcare service particularly in developing countries, queuing theory helps decision...
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In public hospital outdoor patient services all over the world have become an important component of health care. Queuing is a major challenge for healthcare service particularly in developing countries, queuing theory helps decision making to improve waiting problem is not commonly used by managers in developing countries in contrast to their counterparts in the developed world. In this paper we introduce data analysis of observation to reduce outdoor patients waiting time without cost consideration at public hospital.
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Time Series Forecasting of MSCI Indices with Machine Learning
by
Dr. Öğretim Üyesi Diler Gökbayrak Türkoğlu
2024, International Congress of Business, Econometrics and Statistics
Forecasting can be defined as the prediction of some future event or events by analyzing past data. It covers many fields such as business and industry, economics, environmental science and finance (Selvin et al., 2017). Time series...
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Forecasting can be defined as the prediction of some future event or events by analyzing past data. It covers many
fields such as business and industry, economics, environmental science and finance (Selvin et al., 2017). Time
series forecasting is an important area of forecasting where past observations of the same variable are collected
and analyzed to develop a model that explains the underlying relationship. The model is then used to forecast the
time series into the future (Zhang, 2003). In addition to traditional forecasting methods, analyses conducted with
Machine Learning methods stand out in the literature. Machine learning methods in particular have become an
important forecasting, model selection and prediction tool for applied researchers in Economics and Finance
(Masini et al., 2023). For both methods, more practice and therefore more evidence is needed on how they perform
in terms of accuracy and reliability. With this motivation, this study aims to determine the most successful model
as a result of the forecasts made by ARIMA, XGBoost, LSTM and Prophet methods with the 15-year daily data
of MSCI Türkiye and MSCI Germany Indices between 29.03.2009 and 28.03.2024.
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Türkiye İhracat Birim Değer Endeksi ve İhracat Miktar Endeksinin Markov Süreçleri ile Uzun Dönem Analizi
by
handan öztemiz
2024, Gümrük ve Ticaret Dergisi
İhracat birim değer ve ihracat miktar endeksi Türkiye İstatistik Kurumu tarafından aylık periyotlarda hesaplanan dış ticaret endeksleridir. Bu çalışmada söz konusu endekslere ait 2013-2020 dönemindeki birer aylık periyotlardaki veriler...
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İhracat birim değer ve ihracat miktar endeksi Türkiye İstatistik Kurumu tarafından aylık periyotlarda hesaplanan dış ticaret endeksleridir. Bu çalışmada söz konusu endekslere ait 2013-2020 dönemindeki birer aylık periyotlardaki veriler kullanılmış ve stokastik süreçlerden Markov zincirleri analizi ile her iki endeks değerinin zamana bağlı genel seyrinden yola çıkılarak uzun dönemdeki tahmin değerleri hesaplanmıştır. Analiz sonucunda ihracat birim değer endeksinin uzun dönemde %50 olasılıkla 95,6 ile 101,1 aralığında olacağı tahminlenmiştir. İhracat birim değer endeksinin uzun dönemde alabileceği en düşük değer 90,5 (%40 olasılık) en yüksek değer ise 105,2 (%10 olasılık) olarak hesaplanmıştır. İhracat miktar endeksinin uzun dönemde alacağı tahmini değerinin ise %18 olasılıkla 96,6 ila 102,4 aralığında, %17 olasılıkla da 116,8 ila 122,6 aralığında olacağı tahmin edilmiştir. İhracat miktar endeksinin 2020 yılının son aylarında yakaladığı en yüksek skoru olan 146,5 değerine ulaşma olasılığı ise %3 olarak hesaplanmıştır.
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Gözaltıların İnsan Hakları ve Demokratik Şeffaflık Çerçevesinde Denetimi
by
Bayram Erzurumluoglu
2024, Ankara Barosu dergisi
Ülkemizde polis veya jandarma tarafından gözaltında alınan kişilere kötü muamele veya işkence yapıldığı id diaları kamuoyunun gündemini zaman zaman meşgul edebilmektedir. Bir insanlık suçu olan işkence veya kötü muamelenin bütün medeni...
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Ülkemizde polis veya jandarma tarafından gözaltında alınan kişilere kötü muamele veya işkence yapıldığı id diaları kamuoyunun gündemini zaman zaman meşgul edebilmektedir. Bir insanlık suçu olan işkence veya kötü muamelenin bütün medeni ülkeler gibi ülkemizde de önlenmesi için gerekli tedbirler almaya çalışılmaktadır. Ancak, alınan birçok tedbire rağmen, ülkemizde bağımsız bir gözaltı gözlemciliği sisteminin bulunmamasın dan kaynaklanan sıkıntılar, hak ihlalleri yaşanabilmektedir. Bu yazıda nezaret altına alınan suç şüphelilerinin haklarının korunması konusunda İngiltere 'de uygulanan ve Avrupa Birliği İşkenceyi Önleme Komitesi tarafın dan bütün ülkelerde uygulanması tavsiye edilen Bağımsız Gözaltı Gözlemciliği'sistemi incelenerek ülkemizde de benzer bir uygulamanın suç zanlılarının haklarının korunması ve toplumsal açıdan etkileri değerlendiril mektedir.
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İmalat Sektöründe Yeşil Tedarik Zinciri Uygulamalarına İlişkin Zorluklar Ve Çözüm Önerileri (Yüksek lisans tezi)
by
Alper Özaşkın
2024, İstanbul Ticaret Üniversitesi Sosyal Bilimler Enstitüsü
18. yüzyılda ortaya çıkan Sanayi Devrimi dünya nüfusunda önemli bir artışa neden olmuştur. Doğal kaynakların kontrolsüz kullanılması nedeniyle kaynaklar hızlıca tükenmeye başlamış ve artan nüfusun ihtiyaçlarını karşılamak için hızlanan...
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18. yüzyılda ortaya çıkan Sanayi Devrimi dünya nüfusunda önemli bir artışa neden olmuştur. Doğal kaynakların kontrolsüz kullanılması nedeniyle kaynaklar hızlıca tükenmeye başlamış ve artan nüfusun ihtiyaçlarını karşılamak için hızlanan üretim faaliyetleri sonucu ortaya çıkan atıklar ve atmosfere salınan çeşitli biçimlerdeki emisyonlardaki artış çevreye büyük ölçüde zarar vermiştir. Çevre sorunlarının insanoğlunun yaşam koşulları üzerindeki etkilerinin belirgin hale gelmesiyle beraber dünya genelinde çevre sorunlarına yönelik farkındalık artmıştır. Yaşanan bu gelişmeler sonucu tedarik zincirindeki çevresel sorunları en aza indirmek için ortaya çıkan “yeşil tedarik zinciri” kavramı tedarik zincirindeki çevresel etkileri ve kaynak kullanımını dikkate almayı amaçlamaktadır. Hammadde kaynaklarının giderek azalmaya başlaması, atık alanlarının dolması ve sürekli artan kirlilik seviyeleri gibi çevresel sorunlar yeşil tedarik zincirinin önemini giderek arttırmıştır.
Yeşil tedarik zinciri uygulamalarının benimsenmesi sırasında, işletmeler bazı zorluklarla karşılaşmaktadır. Bu çalışmada, imalat sektöründe yeşil tedarik zinciri uygulamalarına ilişkin zorlukların ve çözüm önerilerinin analizi amaçlanmaktadır. Araştırmanın verileri, imalat sektöründe bulunan ve yeşil tedarik zinciri uygulamaları hakkında bilgi sahibi olan on bir katılımcı ile yüz yüze yapılan görüşmeler sonucu elde edilmiştir. Çalışmada, yeşil tedarik zinciri uygulamalarının hayata geçirilmesinde etkili olan zorlukları analiz etmek için çok kriterli karar verme yöntemlerinden biri olan DEMATEL yöntemi kullanılmıştır. Çözüm önerilerinin değerlendirilmesi aşamasında ise EDAS ve COPRAS yöntemleri bulanık mantık ile bütünleştirilerek kullanılmıştır. Ortaya çıkan sonuçlar COPELAND yöntemi kullanılarak birleştirilmiş ve çözüm önerilerinin nihai sıralama sonucuna ulaşılmıştır. Yapılan çalışma sonucu en önemli zorluklar “teknolojik donanım ve yazılım altyapısı eksikliği”, “başarısız olma endişesi” ve “teknolojik anlamda ilerlemenin benimsenmemesi” olarak ortaya çıkmıştır. Uygulama aşamasında kullanılabilecek çözümler ise “çalışanların eğitilmesi”, “farklı işletmelerle iş birlikleri yapılması” ve “hükümet desteğinin ve teşviklerin arttırılması” olarak bulunmuştur.
Anahtar Kelimeler: Yeşil Tedarik Zinciri, DEMATEL, Bulanık EDAS, Bulanık COPRAS, COPELAND
The Industrial Revolution that emerged in the 18th century caused a significant increase in the world population. Due to uncontrolled use of natural resources, resources began to be depleted rapidly, and the increase in wastes and various forms of emissions released into the atmosphere as a result of accelerated production activities to meet the needs of the increasing population has greatly damaged the environment. As the effects of environmental problems on the living conditions of human beings have become apparent, awareness of environmental problems has increased throughout the world. As a result of these developments, the “green supply chain” concept that has emerged to minimize environmental problems in the supply chain aims to take into account environmental impacts and resource use in the supply chain. Environmental problems such as decreasing raw material resources, filling up of waste areas and constantly increasing pollution levels have increased the importance of the green supply chain.
During the adoption of green supply chain practices, enterprises face some barriers. In this study, it is aimed to analyze the barriers and solution proposals related to green supply chain applications in the manufacturing sector. The data of the research were obtained as a result of face-to-face interviews with eleven participants who are in the manufacturing sector and have knowledge about green supply chain practices. In this study, the DEMATEL method, which is one of the multi-criteria decision-making methods, was used to analyze the barriers that are effective in implementing green supply chain practices. In the evaluation phase of the solution proposals, the EDAS and COPRAS methods was used by integrating it with fuzzy logic. The resulting results were combined using the COPELAND method and the final ranking result of the solution proposals was reached. As a result of the study, the most important barriers emerged as “lack of technological hardware and software infrastructure”, “fear of failure” and “non-adoption of technological improvements”. The solutions that can be used in the implementation phase are "training of employees", "collaborating with other businesses" and "increasing government support and incentives".
Keywords: Green Supply Chain, DEMATEL, Fuzzy EDAS, Fuzzy COPRAS, COPELAND
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Türki̇ye’De İşsi̇zli̇k Oraninin Temel Bi̇leşenli̇ Regresyon Anali̇zi̇ İle Beli̇rlenmesi̇
by
Öznur İşçi
2024, Sosyal Ve Ekonomik Arastırmalar Dergisi
Bugünün dünyasında ekonomik ve sosyal etkilerinin yer aldığı işsizlik, bir ülkenin çok yönlü problemler ile karşı karşıya kalmasıdır. Bir ülkedeki iş gücünün durumu ve niteliği ekonomik gelişimleri göstermektedir. Bu gerçekler ışığında,...
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Bugünün dünyasında ekonomik ve sosyal etkilerinin yer aldığı işsizlik, bir ülkenin çok yönlü problemler ile karşı karşıya kalmasıdır. Bir ülkedeki iş gücünün durumu ve niteliği ekonomik gelişimleri göstermektedir. Bu gerçekler ışığında, gelişmekte olan bir ülke işsizlik probleminin üstesinden gelmesi gerekmektedir. Türkiye İstatistik Kurumu'na göre, iş gücünü oluşturan 15 ve 60 yaş arasındaki aktif bireyler kurumsallaşmamış nüfustan oluşmaktadır. İşsizlik, herhangi bir işe sahip olmayan ve mevcut ödeme düzeyinde bir iş teklifi arayan bireylerin oluşturduğu bir kavramdır. İşsizliği etkileyen bazı faktörler, ithalat, ihracat, ithalat ve ihracatın dolar kuru, ithalat ve ihracat değişim oranı, döviz kuru, nüfus artış hızı, GSMH, cari fiyatlarla GSMH büyüme hızı, sabit fiyatlarla GSMH büyüme hızı, kamu yatırımları, özel yatırımlar, GSMH deflatörüdür. Çalışmanın amacı işsizlik oranını etkileyen faktörlerdeki çoklu bağlantı sorununu ortadan kaldırmak olup, temel bileşenler kullanılarak bu faktörlerden yeni değişkenler elde etmektir. Açıklayıcı değişkenler olan bu yeni değişkenler işsizlik regresyon modelini oluşturmada kullanılmaktadır. İstatistiksel çıkarım varsayımları kontrol edildikten sonra, Türkiye'deki işsizlik öngörüsü yapılmıştır.
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KERAGAAN REGRESI LS, LAD, DAN MLAD PADA DATA DELIVERY TIME (The Performance of LS, LAD, and MLAD Regression on Delivery Time Data)
by
Setyono Setyono
2024
Pendugaan koefisien regresi berbasis optimasi sisaan yang dikenal adalah dengan cara meminimumkan jumlah kuadrat sisaan (LS) dan meminimumkan jumlah sisaan mutlak (LAD). Pendugaan dengan cara meminimumkan maksimum sisaan mutlak (MLAD)...
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Pendugaan koefisien regresi berbasis optimasi sisaan yang dikenal adalah dengan cara meminimumkan jumlah kuadrat sisaan (LS) dan meminimumkan jumlah sisaan mutlak (LAD). Pendugaan dengan cara meminimumkan maksimum sisaan mutlak (MLAD) belum dikembangkan. Tujuan penelitian ini adalah untuk mengetahui apakah program linier dapat digunakan untuk mendapatkan penduga koefisien regresi yang meminimumkan maksimum sisaan mutlak dan membandingkan hasilnya dengan hasil pendugaan menggunakan metode LS dan LAD. Data yang digunakan adalah data Delivery Time yang biasa digunakan untuk uji coba metode regresi. Hasil penelitian menunjukkan bahwa program linier dapat digunakan untuk mendapatkan penduga koefisien regresi yang meminimumkan maksimum sisaan mutlak, pada data Delivery Time regresi LAD paling baik menurut kriteria validasi silang, sedangkan regresi LS paling stabil menurut semua kriteria. Dalam metode MLAD dimungkinkan diperoleh subset pengamatan yang menghasilkan penduga koefisien regres...
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Modifikasi Kendala Pada Regresi Yang Meminimumkan Maksimum Sisaan Mutlak Untuk Pemodelan Maksimum Dan Minimum Respons
by
Setyono Setyono
2024
Regresi merupakan analisis yang banyak digunakan baik pada penelitian percobaan maupun survei. Metode kuadrat terkecil mampu memodelkan rataan dengan baik, tetapi mungkin saja menghasilkan sisaan yang besar. Dalam model populasi yang...
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Regresi merupakan analisis yang banyak digunakan baik pada penelitian percobaan maupun survei. Metode kuadrat terkecil mampu memodelkan rataan dengan baik, tetapi mungkin saja menghasilkan sisaan yang besar. Dalam model populasi yang menghendaki tidak pernah ada sisaan yang besar dibutuhkan metode yang meminimumkan maksimum sisaan mutlak ( minimum largest absolute deviation disingkat MLAD). Kebutuhan di lapangan tidak hanya berupa regresi model rataan, melainkan juga regresi yang memodelkan maksimum respons atau minimum respons, misalnya memodelkan luasan minimum yang masih mampu menjemur hasil panen atau memodelkan volume maksimum hasil panen yang masih tertampung di gudang. Modifikasi kendala pada regresi MLAD mampu mengubah model rataan menjadi model maksimum atau model minimum. Hasil ini bermanfaat sebagai alternatif bagi analisis regresi kuantil dan analisis pengamplopan data ( envelopment data analysi s disingkat EDA).
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Pengendalian Koefisien Regresi Least Absolute Deviation Pada Rentang Bermakna Menggunakan Program Linier
by
Setyono Setyono
2024, Informatika Pertanian
Selama ini analisis regresi digunakan untuk memodelkan nilai tengah respons sebagai fungsi dari beberapa peubah bebas, menggunakan metode kuadrat terkecil (least squares-LS). Secara umum metode LS mampu menggambarkan ukuran pemusatan...
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Selama ini analisis regresi digunakan untuk memodelkan nilai tengah respons sebagai fungsi dari beberapa peubah bebas, menggunakan metode kuadrat terkecil (least squares-LS). Secara umum metode LS mampu menggambarkan ukuran pemusatan dengan baik, tetapi tidak kekar terhadap pencilan. Oleh sebab itu, pada kasus tertentu dibutuhkan regresi yang meminimumkan jumlah sisaan mutlak (least absolute deviation-LAD), yang dikenal lebih kekar. Sejauh ini, nilai koefisien regresi tidak pernah dimodelkan dan bergantung sepenuhnya pada data yang diolah. Pada beberapa kasus, tanda dan nilai koefisien regresi perlu dikendalikan agar berada pada rentang yang bermakna. Hasil penelitian ini menunjukkan modifikasi kendala pada regresi LAD mampu mengendalikan koefisien regresi untuk berada pada rentang yang bermakna. Hasil bootstrap menunjukkan sebaran koefisien regresi yang dikendalikan berbeda dengan yang tidak dikendalikan.
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The Pervasiveness and Implications of Statistical Misconceptions Among Academics with a Special Interest in Business Research Methods
by
Frank Bezzina
2024
Statistics play a very important role in business research, particularly in studies that choose to use quantitative or mixed methods. Alongside statistical analysis, aspects related to research design (such as sampling, reliability and...
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Statistics play a very important role in business research, particularly in studies that choose to use quantitative or mixed methods. Alongside statistical analysis, aspects related to research design (such as sampling, reliability and validity issues) require a good grounding in statistical concepts reinforced by careful practice to avoid potential mistakes arising from statistical misconceptions. Although quite a considerable number of published studies have focused on students' faulty thinking regarding statistical concepts, little research explores the extent to which these are also held by academics who are their instructors. This empirical study addresses this by answering the following questions: First, are statistical misconceptions pervasive among academics with a special interest in business research methods? If so, second, is there an association between the pervasiveness of statistical misconceptions and the preferred research tradition (qualitative, quantitative, mixed methods)? Data were collected via a web questionnaire from a purposive sample of academics with an expressed interest in business research methods. The questionnaire comprised 30 categorical statements (agree, disagree, don't know) focusing on statistical misconceptions (and conceptions) relating to descriptive statistics, design strategies, inferential statistics and regression, and five demographic questions. We targeted a critical case purposive sample of 679 potential respondents. Although 166 consented to take part, only 80 completed the questionnaire and their responses form the basis of the statistical analysis, a response rate of 11.8 %. The study provides empirical evidence of both an absence of knowledge and a high pervasiveness of faulty notions that have infected the thinking of academics relating to both research design and the use of statistics. This is particularly so for academics who prefer quantitative methods, those preferring qualitative methods being more likely to admit that they do not know. The study argues that such lack of knowledge and misconceptions reduce the true utility of statistics in research. Recommendations are offered regarding the teaching of statistics within business research methods.
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