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Article Citation - WoS: 40Citation - Scopus: 49Analyzing Human Resource Management Practices Within the Gsd Context(Taylor & Francis inc, 2012) Colomo-Palacios, Ricardo; Casado-Lumbreras, Cristina; Soto-Acosta, Pedro; Misra, Sanjay; Garcia-Penalvo, Francisco JoseThe development of software across different countries (and time zones) differs substantially from software development in one single country or region. The management of processes and people, who work in globally distributed teams, requires a high level of coordination and collaboration which needs to be based on established human resource management practices. The People Capability Maturity Model (People-CMM) provides a complete framework that enables quality in human resource management to be improved. However, today, the adoption of the People-CMM within organizations using Global Software Development (GSD) is not an easy task. This paper uses an empirical study to analyze the implementation of the People-CMM within the GSD context. Results confirm that cultural and communication problems are the main challenges in the implementation of the People-CMM adoption within GSD scenarios.Article Citation - WoS: 18Citation - Scopus: 21Research Trends in Management Issues of Global Software Development: Evaluating the Past To Envision the Future(Taylor & Francis inc, 2011) Mishra, Deepti; Mishra, AlokThis paper presents research trends in management issues (project management, process management, knowledge management, requirements management, configuration management, risk management, quality management) of distributed/global information system development. The main objective is to highlight the current research and practice direction in these areas. The results are based on peer-reviewed conference papers/journal articles, published between 2000 and early 2011. The analysis revealed that most research has been done in project management, process management, knowledge management and requirements management areas while configuration, risk, and quality management issues could get only limited attention in global/distributed information system development. This indicates the need for future research (quantitative and qualitative) in these areas.Article Citation - WoS: 5Citation - Scopus: 5Electrochemical Polymerization of Para-Substituted Haloanilines(Taylor & Francis inc, 2006) Cihaner, A; Önal, AMPolyhaloanilines: poly(4-fluoroaniline) (P4FAN), poly(4-chloroaniline) (P4CAN), and poly(4-bromoaniline) (P4BAN), are synthesized from para-substituted haloaniline monomers; 4-fluoroaniline (4FAN), 4-chloroaniline (4CAN), and 4-bromoaniline (4BAN), respectively, via constant potential electrolysis (CPE) in acetonitrile-water mixture (1:1 v/v) with NaClO4 as supporting electrolyte. Prior to CPE, electrochemical behavior of the monomers were investigated in organic medium utilizing cyclic voltammetry (CV). The course of CPE was monitored using in-situ UV-VIS spectroscopic technique. Characterization of polymer products have been carried out using FT-IR and NMR spectroscopic techniques and thermal behaviors were studied using differential scanning calorimeter (DSC). Polyhaloanilines synthesized by electrochemical oxidation were doped using iodine and the change in the paramagnetic behavior was monitored by ESR, UV-VIS, and FT-IR.Article Citation - WoS: 28Citation - Scopus: 33System Reliability Under Δ-Shock Model(Taylor & Francis inc, 2018) Tuncel, Altan; Eryilmaz, Serkandelta-shock model is one of the widely studied shock models in reliability. Under this model, the system fails when the time between two consecutive shocks falls below a fixed threshold . In this paper, the survival function and the mean time to failure of the system are obtained when the times between successive shocks follow proportional hazard rate model.Article Citation - Scopus: 1Critical Connections: Network Analysis of Human Errors in Aviation Accidents(Taylor & Francis inc, 2025) Yilmaz, Ayse AsliObjectiveThis study aims to explores the systemic role of human factors in aviation safety by integrating the Human Factors Analysis and Classification System (HFACS) with network analysis.BackgroundHuman factors contribute to over 70% of aviation accidents, emphasizing their importance in safety research. This study uses the National Transportation Safety Board (NTSB), 2024 accident database to uncover systemic vulnerabilities through network analysis.MethodologyA bipartite network of 150,000 nodes and 250,000 edges was constructed using Python's NetworkX and visualized in Gephi. Centrality metrics identified systemic vulnerabilities, analyzing pilot error, crew error, and maintenance issues across general aviation, commercial jets, and rotary-wing aircraft.ResultsPilot error dominated general aviation accidents (70%), linked to single-pilot demands. Crew error was most prevalent in commercial jets (50%), highlighting multi-crew coordination challenges. Maintenance oversights in rotary-wing aircraft (45%) showed the highest betweenness centrality, underscoring their systemic impact.ConclusionTargeted safety measures include advanced training for general aviation pilots, optimized Crew Resource Management (CRM) for jet crews, and stricter maintenance protocols for helicopters. Integrating HFACS with network analysis provides a robust framework for mitigating systemic vulnerabilities and enhancing aviation safety.Review Citation - WoS: 2Citation - Scopus: 5Machine Learning for Sustainable Reutilization of Waste Materials as Energy Sources - a Comprehensive Review(Taylor & Francis inc, 2024) Peng, Wei; Sadaghiani, Omid KarimiThis work reviews Machine Learning applications in the sustainable utilization of waste materials as energy source so that analysis of the past works exposed the lack of reviewing study. To solve it, the origin of waste biomass raw materials is explained, and the application of Machine Learning in this section is scrutinized. After analysis of numerous papers, it is concluded that Machine Learning and Deep Learning are widely utilized in waste biomass production areas to enhance the quality and quantity of production, improve the predictions, diminish the losses, as well as increase storage and transformation conditions. The positive effects and application with the utilized algorithms and other effective information are collected in this work for the first time. According to the statistical analysis, in 20% out of the studies conducted about the application of Machine Learning and Deep Learning in waste biomass raw materials, Artificial Neural Network (ANN) algorithm has been applied. Afterward, the Super Vector Machine (SVM) and Random Forest (RF) are the second and third most-utilized algorithms applied in 15% and 14% of studies. Meanwhile, 27% of studies focused on the applications of Machine Learning and Deep Learning in the Forest wastes.Article Citation - WoS: 1Citation - Scopus: 2On the First Time of Ruin in Two-Dimensional Discrete Time Risk Model With Dependent Claim Occurrences(Taylor & Francis inc, 2018) Eryilmaz, SerkanThis article is concerned with a two-dimensional discrete time risk model based on exchangeable dependent claim occurrences. In particular, we obtain a recursive expression for the finite time non ruin probability under such a dependence among claim occurrences. For an illustration, we define a bivariate compound beta-binomial risk model and present numerical results on this model by comparing the corresponding results of the bivariate compound binomial risk model.Article Citation - WoS: 19Software Development Outsourcing: Challenges and Opportunities in Nigeria(Taylor & Francis inc, 2014) Casado-Lumbreras, Cristina; Colomo-Palacios, Ricardo; Ogwueleka, Francisca N.; Misra, SanjayIn recent years, several emergent regions have become software development sourcing countries. This article investigates the possibilities of sub-Saharan Africa as a sourcing destination in the software field. To find out the reasons why sub-Saharan Africa countries, in general, and Nigeria, in particular, are not considered a destination for global software development projects, the authors interviewed a set of professionals from Europe and Africa. Results indicate that there are many disadvantages and difficulties impeding Nigeria from becoming a preferred sourcing destination, mainly the absence of a strong software industry and the concerns about legislative, fiscal, and commercial premises. On the other hand, it is observed that there are also relevant added values and competitive advantages in Nigeria (English-speaking country, same time zone, and cost); therefore, it can become a potential target for software development outsourcing in the medium and long terms.Article Citation - WoS: 22Citation - Scopus: 22The impact of the using high-fidelity simulation and standardized patients to management of postpartum hemorrhage in undergraduate nursing students: A randomized controlled study in Turkey(Taylor & Francis inc, 2019) Karadas, Merve Mert; Terzioglu, FusunWe examined the efficiency of different simulation methods for the improvement of knowledge and skills of nursing students in the management of postpartum hemorrhage. A total of 84 nursing students participated in the study. Data were obtained using a Semi-Structured Questionnaire Form, Student Satisfaction Evaluation Form, Effective Communication Skills Checklist, Spielberger's State-Trait Anxiety Inventory, and Skills Evaluation Form for Postpartum Bleeding Management. We suggest that the use of different simulation methods may be effective in improving the knowledge and skills of nursing students in the management of postpartum hemorrhage.Article Citation - WoS: 6Citation - Scopus: 6Discrete Time Cold Standby Repairable System: Combinatorial Analysis(Taylor & Francis inc, 2016) Eryilmaz, SerkanIn this article, we obtain exact expression for the distribution of the time to failure of discrete time cold standby repairable system under the classical assumptions that both working time and repair time of components are geometric. Our method is based on alternative representation of lifetime as a waiting time random variable on a binary sequence, and combinatorial arguments. Such an exact expression for the time to failure distribution is new in the literature. Furthermore, we obtain the probability generating function and the first two moments of the lifetime random variable.
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