{"results":[{"id":"arxiv_2601.18833","title":"Agentic Business Process Management Systems","authors":[{"name":"Marlon Dumas"},{"name":"Fredrik Milani"},{"name":"David Chapela-Campa"}],"abstract":"Since the early 90s, the evolution of the Business Process Management (BPM) discipline has been punctuated by successive waves of automation technologies. Some of these technologies enable the automation of individual tasks, while others focus on orchestrating the execution of end-to-end processes. The rise of Generative and Agentic Artificial Intelligence (AI) is opening the way for another such wave. However, this wave is poised to be different because it shifts the focus from automation to autonomy and from design-driven management of business processes to data-driven management, leveraging process mining techniques. This position paper, based on a keynote talk at the 2025 Workshop on AI for BPM, outlines how process mining has laid the foundations on top of which agents can sense process states, reason about improvement opportunities, and act to maintain and optimize performance. The paper proposes an architectural vision for Agentic Business Process Management Systems (A-BPMS): a new class of platforms that integrate autonomy, reasoning, and learning into process management and execution. The paper contends that such systems must support a continuum of processes, spanning from human-driven to fully autonomous, thus redefining the boundaries of process automation and governance.","source":"arXiv","year":2026,"language":"en","subjects":["cs.AI","cs.SE"],"url":"https://arxiv.org/abs/2601.18833","pdf_url":"https://arxiv.org/pdf/2601.18833","is_open_access":true,"published_at":"2026-01-25T20:13:57Z","score":70},{"id":"arxiv_2510.23356","title":"IoT-Driven Smart Management in Broiler Farming: Simulation of Remote Sensing and Control Systems","authors":[{"name":"Sandra Coello Suarez"},{"name":"V. Sanchez Padilla"},{"name":"Ronald Ponguillo-Intriago"},{"name":"Albert Espinal"}],"abstract":"Parameter monitoring and control systems are crucial in the industry as they enable automation processes that improve productivity and resource optimization. These improvements also help to manage environmental factors and the complex interactions between multiple inputs and outputs required for production management. This paper proposes an automation system for broiler management based on a simulation scenario that involves sensor networks and embedded systems. The aim is to create a transmission network for monitoring and controlling broiler temperature and feeding using the Internet of Things (IoT), complemented by a dashboard and a cloud-based service database to track improvements in broiler management. We look forward this work will serve as a guide for stakeholders and entrepreneurs in the animal production industry, fostering sustainable development through simple and cost-effective automation solutions. The goal is for them to scale and integrate these recommendations into their existing operations, leading to more efficient decision-making at the management level.","source":"arXiv","year":2025,"language":"en","subjects":["eess.SY","cs.ET"],"doi":"10.1109/TEMSCONLATAM65810.2025.11238529","url":"https://arxiv.org/abs/2510.23356","pdf_url":"https://arxiv.org/pdf/2510.23356","is_open_access":true,"published_at":"2025-10-27T14:06:13Z","score":69},{"id":"arxiv_2502.12174","title":"Robust blue-green urban flood risk management optimised with a genetic algorithm for multiple rainstorm return periods","authors":[{"name":"Asid Ur Rehman"},{"name":"Vassilis Glenis"},{"name":"Elizabeth Lewis"},{"name":"Chris Kilsby"},{"name":"Claire Walsh"}],"abstract":"Flood risk managers seek to optimise Blue-Green Infrastructure (BGI) designs to maximise return on investment. Current systems often use optimisation algorithms and detailed flood models to maximise benefit-cost ratios for single rainstorm return periods. However, these schemes may lack robustness in mitigating flood risks across different storm magnitudes. For example, a BGI scheme optimised for a 100-year return period may differ from one optimised for a 10-year return period. This study introduces a novel methodology incorporating five return periods (T = 10, 20, 30, 50, and 100 years) into a multi-objective BGI optimisation framework. The framework combines a Non-dominated Sorting Genetic Algorithm II (NSGA-II) with a fully distributed hydrodynamic model to optimise the spatial placement and combined size of BGI features. For the first time, direct damage cost (DDC) and expected annual damage (EAD), calculated for various building types, are used as risk objective functions, transforming a many-objective problem into a multi-objective one. Performance metrics such as Median Risk Difference (MedRD), Maximum Risk Difference (MaxRD), and Area Under Pareto Front (AUPF) reveal that a 100-year optimised BGI design performs poorly when evaluated for other return periods, particularly shorter ones. In contrast, a BGI design optimised using composite return periods enhances performance metrics across all return periods, with the greatest improvements observed in MedRD (22%) and AUPF (73%) for the 20-year return period, and MaxRD (23%) for the 50-year return period. Furthermore, climate uplift stress testing confirms the robustness of the proposed design to future rainfall extremes. This study advocates a paradigm shift in flood risk management, moving from single maximum to multiple rainstorm return period-based designs to enhance resilience and adaptability to future climate extremes.","source":"arXiv","year":2025,"language":"en","subjects":["cs.NE","cs.CE","cs.CY"],"doi":"10.1111/jfr3.70118","url":"https://arxiv.org/abs/2502.12174","pdf_url":"https://arxiv.org/pdf/2502.12174","is_open_access":true,"published_at":"2025-02-13T21:42:08Z","score":69},{"id":"arxiv_2502.10407","title":"Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management","authors":[{"name":"Xiahua Wei"},{"name":"Naveen Kumar"},{"name":"Han Zhang"}],"abstract":"Generative AI technologies, particularly Large Language Models (LLMs), have transformed information management systems but introduced substantial biases that can compromise their effectiveness in informing business decision-making. This challenge presents information management scholars with a unique opportunity to advance the field by identifying and addressing these biases across extensive applications of LLMs. Building on the discussion on bias sources and current methods for detecting and mitigating bias, this paper seeks to identify gaps and opportunities for future research. By incorporating ethical considerations, policy implications, and sociotechnical perspectives, we focus on developing a framework that covers major stakeholders of Generative AI systems, proposing key research questions, and inspiring discussion. Our goal is to provide actionable pathways for researchers to address bias in LLM applications, thereby advancing research in information management that ultimately informs business practices. Our forward-looking framework and research agenda advocate interdisciplinary approaches, innovative methods, dynamic perspectives, and rigorous evaluation to ensure fairness and transparency in Generative AI-driven information systems. We expect this study to serve as a call to action for information management scholars to tackle this critical issue, guiding the improvement of fairness and effectiveness in LLM-based systems for business practice.","source":"arXiv","year":2025,"language":"en","subjects":["cs.CY","cs.AI","cs.HC"],"doi":"10.1016/j.im.2025.104103","url":"https://arxiv.org/abs/2502.10407","pdf_url":"https://arxiv.org/pdf/2502.10407","is_open_access":true,"published_at":"2025-01-22T10:14:31Z","score":69},{"id":"arxiv_2504.19307","title":"Physical Climate Risk in Asset Management","authors":[{"name":"Michele Azzone"},{"name":"Matteo Ghesini"},{"name":"Davide Stocco"},{"name":"Lorenzo Viola"}],"abstract":"Climate-related phenomena are increasingly affecting regions worldwide, manifesting as floods, water scarcity, and heat waves, significantly impairing companies' assets and productivity. It is essential for asset managers to quantify the exposure of their portfolios to such risk. To this aim, we develop a framework based on the Vasicek model for credit risk that introduces downward jumps due to climate phenomena in a company asset's dynamics. These negative shocks are designed to mirror the negative effect of extreme climate events. The model calibration relies on companies' asset intensity and geographical exposure. We apply the new multivariate firm value model with jumps to assess the impact of climate-related extreme events on expected and unexpected portfolio losses. Our findings indicate that expected losses increase over time, with pronounced differences in exposure observed across sectoral indices. From an environmental policy perspective, these results suggest the need for additional capital buffers to offset losses arising from physical climate risks, particularly in sectors with high asset intensity.","source":"arXiv","year":2025,"language":"en","subjects":["q-fin.RM"],"doi":"10.1002/csr.70215","url":"https://arxiv.org/abs/2504.19307","pdf_url":"https://arxiv.org/pdf/2504.19307","is_open_access":true,"published_at":"2025-04-27T17:12:31Z","score":69},{"id":"doaj_10.1051/itmconf/20257701018","title":"Experiment and analysis of water droplet wettability on superhydrophobic surfaces manipulated by electric field","authors":[{"name":"Wang Qingcheng"},{"name":"Lou Yi"},{"name":"Zhang Deqing"},{"name":"Yang Xiaodong"}],"abstract":"Electric field manipulates the change of droplets wettability on superhydrophobic surfaces, which is widely used in many fields such as electronic zoom microlens and electro wetting displays, and has an important research value. This paper prepared a superhydrophobic acetate film applied electrostatic spinning technique,the maximum contact angle of acetate film is 152.6°, conducted electric field-regulated water droplet wettability change tests, applied voltage to water droplets on acetate film. it was found that the contact angle of the droplets decreased with the increase of the electric field strength, and the electric field regulated the contact angle of the droplets to change in the range of 92.7-142.3°. When the power supply is turned off, the contact angle of the droplet can gradually recover, but not completely restored to the original state.","source":"DOAJ","year":2025,"language":"","subjects":["Information technology"],"doi":"10.1051/itmconf/20257701018","url":"https://www.itm-conferences.org/articles/itmconf/pdf/2025/08/itmconf_emit2025_01018.pdf","pdf_url":"https://www.itm-conferences.org/articles/itmconf/pdf/2025/08/itmconf_emit2025_01018.pdf","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.1038/s41598-025-15011-x","title":"Vehicular ad hoc networks verification scheme based on bilinear pairings and networks reverse fuzzy extraction","authors":[{"name":"Zaid Ameen Abduljabbar"},{"name":"Vincent Omollo Nyangaresi"},{"name":"Ahmed Ali Ahmed"},{"name":"Junchao Ma"},{"name":"Mustafa A. Al Sibahee"},{"name":"Mohammed Abdulridha Hussain"},{"name":"Zaid Alaa Hussien"},{"name":"Ali Hasan Ali"},{"name":"Abdulla J. Y. Aldarwish"},{"name":"Husam A. Neamah"}],"abstract":"Abstract Vehicular Ad-Hoc Networks (VANETs) have facilitated the massive exchange of real-time traffic and weather conditions, which have helped prevent collisions, reduce accidents, and road congestions. This can effectively enhance driving safety and efficiency in technology-driven transportation systems. However, the transmission of massive and sensitive information across public wireless communication channels exposes the transmitted data to a myriad of privacy as well as security threats. Although past researches has developed many vehicular ad-hoc networks security preservation schemes, several of them are inefficient or susceptible to attacks. This work, introduces an approach that leverages reverse fuzzy extraction, bilinear pairing, and Physically Unclonable Function (PUF) to design an efficient and anonymity-preserving authentication scheme. We conduct an elaborate formal security analysis to demonstrate that the derived session key is secure. The semantic security analyses also demonstrate its resilience against typical VANET attacks such as impersonations, denial of service, and de-synchronization, instilling confidence in its effectiveness. Moreover, our approach incurs the lowest computational overheads at relatively low communication costs. Specifically, our protocol attains a 66.696% reduction in computation costs, and a 70% increment in the supported security functionalities.","source":"DOAJ","year":2025,"language":"","subjects":["Medicine","Science"],"doi":"10.1038/s41598-025-15011-x","url":"https://doi.org/10.1038/s41598-025-15011-x","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.1016/j.padiff.2025.101131","title":"Solving a class of distributed-order time fractional wave-diffusion differential equations using the generalized fractional-order Bernoulli wavelets","authors":[{"name":"Ali AbuGneam"},{"name":"Somayeh Nemati"},{"name":"Afshin Babaei"}],"abstract":"In this research, we propose a new numerical method for solving a class of distributed-order fractional partial differential equations, specifically focusing on distributed-order time fractional wave-diffusion equations. The method begins by introducing a novel generalization of Bernoulli wavelets and deriving an exact result for the Riemann–Liouville integral of these new basis functions. Utilizing the Gauss–Legendre quadrature formula and a strategically chosen set of collocation points, along with approximations for the unknown function and its derivatives, we transform the problem into a system of algebraic equations. An error analysis is then conducted for the approximation of a bivariate function using fractional-order Bernoulli wavelets. Finally, three examples are solved to demonstrate the method’s applicability and accuracy, with the numerical results confirming its effectiveness. These findings demonstrate that the parameters of the basis functions can be adjusted to suit the given problem, thereby enhancing the accuracy of the method.","source":"DOAJ","year":2025,"language":"","subjects":["Applied mathematics. Quantitative methods"],"doi":"10.1016/j.padiff.2025.101131","url":"http://www.sciencedirect.com/science/article/pii/S2666818125000580","is_open_access":true,"published_at":"","score":69},{"id":"crossref_10.1016/j.indmarman.2025.06.009","title":"2nd Industrial Marketing Management Oceania and Asia Summit","authors":[{"name":"Adam Lindgreen"}],"abstract":"","source":"CrossRef","year":2025,"language":"en","subjects":null,"doi":"10.1016/j.indmarman.2025.06.009","url":"https://doi.org/10.1016/j.indmarman.2025.06.009","is_open_access":true,"published_at":"","score":69},{"id":"arxiv_2407.16854","title":"Impacts of National Cultures on Managerial Decisions of Engaging in Core Earnings Management","authors":[{"name":"Muhammad Rofiqul Islam"},{"name":"Abdullah Al Mehdi"}],"abstract":"This study investigates the impact of Hofstede's cultural dimensions on abnormal core earnings management in multiple national cultural contexts. We employ an Ordinary Least Squares (OLS) regression model with abnormal core earnings as the dependent variable. The independent variables analyzed include Hofstede's dimensions: Power Distance Index (PDI), Individualism (IDV), Masculinity (MAS), and Uncertainty Avoidance Index (UAI). Our findings reveal that individualism is positively associated with abnormal core earnings, suggesting that cultures characterized by high individualism may encourage practices that inflate earnings due to the prominence of personal achievement and rewards. In contrast, masculinity negatively correlates with abnormal core earnings, indicating that the risk-taking attributes associated with masculine cultures may deter earnings management. Interestingly, uncertainty avoidance is positively linked to abnormal core earnings, supporting the notion that managers tend to engage more in earnings management to minimize fluctuations in financial reports in cultures with high uncertainty avoidance. The relationship between power distance and abnormal core earnings is found to be non-significant, indicating no substantial effect in this context. These findings contribute to the literature on cultural influences in financial reporting, providing valuable insights for policymakers and multinational firms concerning the cultural contexts within which financial decisions and reporting occur.","source":"arXiv","year":2024,"language":"en","subjects":["econ.GN"],"doi":"10.7176/EJBM/16-4-07","url":"https://arxiv.org/abs/2407.16854","pdf_url":"https://arxiv.org/pdf/2407.16854","is_open_access":true,"published_at":"2024-07-23T21:41:40Z","score":68},{"id":"arxiv_2402.10067","title":"LLM-based policy generation for intent-based management of applications","authors":[{"name":"Kristina Dzeparoska"},{"name":"Jieyu Lin"},{"name":"Ali Tizghadam"},{"name":"Alberto Leon-Garcia"}],"abstract":"Automated management requires decomposing high-level user requests, such as intents, to an abstraction that the system can understand and execute. This is challenging because even a simple intent requires performing a number of ordered steps. And the task of identifying and adapting these steps (as conditions change) requires a decomposition approach that cannot be exactly pre-defined beforehand. To tackle these challenges and support automated intent decomposition and execution, we explore the few-shot capability of Large Language Models (LLMs). We propose a pipeline that progressively decomposes intents by generating the required actions using a policy-based abstraction. This allows us to automate the policy execution by creating a closed control loop for the intent deployment. To do so, we generate and map the policies to APIs and form application management loops that perform the necessary monitoring, analysis, planning and execution. We evaluate our proposal with a use-case to fulfill and assure an application service chain of virtual network functions. Using our approach, we can generalize and generate the necessary steps to realize intents, thereby enabling intent automation for application management.","source":"arXiv","year":2024,"language":"en","subjects":["cs.DC","cs.AI","cs.FL","cs.HC","cs.LG"],"doi":"10.23919/CNSM59352.2023.10327837","url":"https://arxiv.org/abs/2402.10067","pdf_url":"https://arxiv.org/pdf/2402.10067","is_open_access":true,"published_at":"2024-01-22T15:37:04Z","score":68},{"id":"doaj_10.3390/fi16110412","title":"Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum","authors":[{"name":"J. de Curtò"},{"name":"I. de Zarzà"},{"name":"Juan-Carlos Cano"},{"name":"Carlos T. Calafate"}],"abstract":"This paper presents a novel approach to enhancing the security and reliability of drone communications through the integration of Quantum Random Number Generators (QRNG) in Frequency Hopping Spread Spectrum (FHSS) systems. We propose a multi-drone framework that leverages QRNG technology to generate truly random frequency hopping sequences, significantly improving resistance against jamming and interception attempts. Our method introduces a concurrent access protocol for multiple drones to share a QRNG device efficiently, incorporating robust error handling and a shared memory system for random number distribution. The implementation includes secure communication protocols, ensuring data integrity and confidentiality through encryption and Hash-based Message Authentication Code (HMAC) verification. We demonstrate the system’s effectiveness through comprehensive simulations and statistical analyses, including spectral density, frequency distribution, and autocorrelation studies of the generated frequency sequences. The results show a significant enhancement in the unpredictability and uniformity of frequency distributions compared to traditional pseudo-random number generator-based approaches. Specifically, the frequency distributions of the drones exhibited a relatively uniform spread across the available spectrum, with minimal discernible patterns in the frequency sequences, indicating high unpredictability. Autocorrelation analyses revealed a sharp peak at zero lag and linear decrease to zero values for other lags, confirming a general absence of periodicity or predictability in the sequences, which enhances resistance to predictive attacks. Spectral analysis confirmed a relatively flat power spectral density across frequencies, characteristic of truly random sequences, thereby minimizing vulnerabilities to spectral-based jamming. Statistical tests, including Chi-squared and Kolmogorov-Smirnov, further confirm the unpredictability of the frequency sequences generated by QRNG, supporting enhanced security measures against predictive attacks. While some short-term correlations were observed, suggesting areas for improvement in QRNG technology, the overall findings confirm the potential of QRNG-based FHSS systems in significantly improving the security and reliability of drone communications. This work contributes to the growing field of quantum-enhanced wireless communications, offering substantial advancements in security and reliability for drone operations. The proposed system has potential applications in military, emergency response, and secure commercial drone operations, where enhanced communication security is paramount.","source":"DOAJ","year":2024,"language":"","subjects":["Information technology"],"doi":"10.3390/fi16110412","url":"https://www.mdpi.com/1999-5903/16/11/412","is_open_access":true,"published_at":"","score":68},{"id":"doaj_Structural+Modeling+Based+on+Supply+Chain+Integration+in+Relation+to+Supply+Chain+Risk%2C+Product+Quality+and+Innovation+Capability","title":"Structural Modeling Based on Supply Chain Integration in Relation to Supply Chain Risk, Product Quality and Innovation Capability","authors":[{"name":"Abolfazl Kazzazi"},{"name":"Amir Mohammad khani"}],"abstract":"\u003cp\u003eThis study aims to investigate the unique features of the food supply chain, examining the impact of food supply chain integration, consisting of internal integration, supplier and customer, the quality of food products and product innovation capability. Managers need to understand the importance of supplier and customer integration when responding to supply chain risk and company uncertainty. The data were collected from 168 managers active in the food industry in Tehran province. The partial least squares tool (SmartPLS 3.0) was used to analyze the data using Structural Equation Modeling (SEM) technique. The results show that there is a strong relationship between uncertainty and supply chain integration including customer, supplier and internal integration. The findings indicate that customer integration and supplier integration are critical factors in improving product quality in the food supply chain. The results can be related to the prominent role of customer relations and contact in the development of innovation capabilities in manufactured products, which has also been approved by some previous studies. Additionally, analyzing the various dimensions of supply chain integration separately revealed that internal integration is a capability factor for external integration. This study can help businesses in the food industry understand the value-creating roles of food supply chain integration and provide valuable guidance for them to decide how to meet the various challenges and manage food supply chain integration in order to improve product quality and product innovation capability.\u003c/p\u003e","source":"DOAJ","year":2024,"language":"","subjects":["Management. Industrial management"],"url":"https://sanad.iau.ir/journal/jpm/Article/975230","is_open_access":true,"published_at":"","score":68},{"id":"doaj_10.1007/s40747-024-01350-1","title":"CL-BPUWM: continuous learning with Bayesian parameter updating and weight memory","authors":[{"name":"Yao He"},{"name":"Jing Yang"},{"name":"Shaobo Li"},{"name":"Jianjun Hu"},{"name":"Yaping Ren"},{"name":"Qing Ji"}],"abstract":"Abstract Catastrophic forgetting in neural networks is a common problem, in which neural networks lose information from previous tasks after training on new tasks. Although adopting a regularization method that preferentially retains the parameters important to the previous task to avoid catastrophic forgetting has a positive effect; existing regularization methods cause the gradient to be near zero because the loss is at the local minimum. To solve this problem, we propose a new continuous learning method with Bayesian parameter updating and weight memory (CL-BPUWM). First, a parameter updating method based on the Bayes criterion is proposed to allow the neural network to gradually obtain new knowledge. The diagonal of the Fisher information matrix is then introduced to significantly minimize computation and increase parameter updating efficiency. Second, we suggest calculating the importance weight by observing how changes in each network parameter affect the model prediction output. In the process of model parameter updating, the Fisher information matrix and the sensitivity of the network are used as the quadratic penalty terms of the loss function. Finally, we apply dropout regularization to reduce model overfitting during training and to improve model generalizability. CL-BPUWM performs very well in continuous learning for classification tasks on CIFAR-100 dataset, CIFAR-10 dataset, and MNIST dataset. On CIFAR-100 dataset, it is 0.8%, 1.03% and 0.75% higher than the best performing regularization method (EWC) in three task partitions. On CIFAR-10 dataset, it is 2.25% higher than the regularization method (EWC) and 0.7% higher than the scaled method (GR). It is 0.66% higher than the regularization method (EWC) on the MNIST dataset. When the CL-BPUWM method was combined with the brain-inspired replay model under the CIFAR-100 and CIFAR-10 datasets, the classification accuracy was 2.35% and 5.38% higher than that of the baseline method, BI-R + SI.","source":"DOAJ","year":2024,"language":"","subjects":["Electronic computers. Computer science","Information technology"],"doi":"10.1007/s40747-024-01350-1","url":"https://doi.org/10.1007/s40747-024-01350-1","is_open_access":true,"published_at":"","score":68},{"id":"arxiv_2310.10797","title":"Understanding and managing blockchain protocol risks","authors":[{"name":"Alex Nathan"},{"name":"Dimosthenis Kaponis"},{"name":"Saul Lustgarten"}],"abstract":"This paper addresses the issue of blockchain protocol risks, a foundational category of risks affecting Distributed Ledger Technology (DLT) which underpins digital assets, smart contracts, and decentralised applications. It presents a comprehensive risk management framework developed in collaboration with financial institutions, blockchain development teams and regulators that applies a traditional risk management taxonomy to address certain overlooked blockchain protocol risks. The approach offers a structured way to identify, measure, monitor and report blockchain protocol risks. The paper provides real-world use cases to demonstrate the practicality and implementation of the proposed framework. The findings of this work contribute to the evolving understanding of blockchain protocol risks and provide valuable insights on how these risks affect the adoption of DLT by financial institutions.","source":"arXiv","year":2023,"language":"en","subjects":["q-fin.RM","cs.DC"],"url":"https://arxiv.org/abs/2310.10797","pdf_url":"https://arxiv.org/pdf/2310.10797","is_open_access":true,"published_at":"2023-10-16T19:58:28Z","score":67},{"id":"arxiv_2310.11987","title":"A Framework for Treating Model Uncertainty in the Asset Liability Management Problem","authors":[{"name":"Georgios I. Papayiannis"}],"abstract":"The problem of asset liability management (ALM) is a classic problem of the financial mathematics and of great interest for the banking institutions and insurance companies. Several formulations of this problem under various model settings have been studied under the Mean-Variance (MV) principle perspective. In this paper, the ALM problem is revisited under the context of model uncertainty in the one-stage framework. In practice, uncertainty issues appear to several aspects of the problem, e.g. liability process characteristics, market conditions, inflation rates, inside information effects, etc. A framework relying on the notion of the Wasserstein barycenter is presented which is able to treat robustly this type of ambiguities by appropriate handling the various information sources (models) and appropriately reformulating the relevant decision making problem. The proposed framework can be applied to a number of different model settings leading to the selection of investment portfolios that remain robust to the various uncertainties appearing in the market. The paper is concluded with a numerical experiment for a static version of the ALM problem, employing standard modelling approaches, illustrating the capabilities of the proposed method with very satisfactory results in retrieving the true optimal strategy even in high noise cases.","source":"arXiv","year":2023,"language":"en","subjects":["q-fin.PM"],"doi":"10.3934/jimo.2023021","url":"https://arxiv.org/abs/2310.11987","pdf_url":"https://arxiv.org/pdf/2310.11987","is_open_access":true,"published_at":"2023-10-18T14:18:08Z","score":67},{"id":"doaj_10.35692/07183992.16.1.4","title":"Influencia conjunta de la autoestima y la motivación escolar en la elección de un programa universitario","authors":[{"name":"Elías Jordan Karmach-Sánchez"},{"name":"Carlos Leandro Delgado-Fuentealba"},{"name":"Paola Giuliana Zerega-Tallia"},{"name":"Carlos Alberto Figueroa-Moreno"}],"abstract":"\nPara los jóvenes, la elección acertada de un pro-grama universitario constituye un desafío para ellos, su familia y la sociedad, puesto que el desarrollo personal, el éxito profesional, los valores y el servicio a la comunidad dependen de ella. Considerando que los factores que intervienen en esta elección son variados, el estudio buscó determinar, empíricamente, si el grado de autoestima y moti-vación escolar tiene efecto en la matrícula de un programa universitario, como primera preferencia. La muestra corresponde a los 2626 jóvenes que ingresaron a la Universidad de Concepción, Cam-pus Chillán, en 2016-2021. Se utilizó un modelo pro-bit binario, pues la variable dependiente toma uno de dos valores discretos. El grado de autoestima y motivación se midió a partir de uno de los índices de desarrollo personal y social (IDPS), entregado por la Agencia de Calidad del Ministerio de Educación de Chile para cada establecimiento de egreso de enseñanza media. Se incorporaron variables de control, como las características personales del estudiante y del establecimiento. Los resultados confirman que, cuanto mayor es el índice de autoestima y moti-vación escolar, mayor es la probabilidad de que el estudiante ingrese al programa de su primera preferencia. Este análisis confirma (1) la importancia de este Indicador y (2) que aún faltan avances para fortalecer programas escolares que pongan el énfasis en propiciar condiciones que permitan el desarrollo integral de los estudiantes, destacando las fortalezas por sobre las debilidades.\n","source":"DOAJ","year":2023,"language":"","subjects":["Business","Management. Industrial management"],"doi":"10.35692/07183992.16.1.4","url":"https://journalmbr.net/index.php/mbr/article/view/6478","is_open_access":true,"published_at":"","score":67},{"id":"arxiv_2212.12891","title":"Analysis of the Driving Factors of Implementing Green Supply Chain Management in SME in the City of Semarang","authors":[{"name":"Nanang Adie Setyawan"},{"name":"Hadiahti Utami"},{"name":"Bayu Setyo Nugroho"},{"name":"Mellasanti Ayuwardani"},{"name":" Suharmanto"}],"abstract":"This study set out to determine what motivated SMEs in Semarang City to undertake green supply chain management during the COVID-19 and New Normal pandemics. The purposive sampling approach was used as the sampling methodology in this investigation. There are 100 respondents in the research samples. The AMOS 24.0 program's structural equation modelling (SEM) is used in this research method. According to the study's findings, the Strategic Orientation variable significantly and favourably affects the Green Supply Chain Management variable expected to have a value of 0.945, and the Government Regulation variable has a positive and strong influence on the variable Green Supply Chain Management with an estimated value of 0.070, the Green Supply Chain Management variable with an estimated value of has a positive and significant impact on the environmental performance variable. 0.504, the Strategic Orientation variable with an estimated value of has a positive and significant impact on the environmental performance variable. 0.442, The Environmental Performance variable is directly impacted positively and significantly by the Government Regulation variable, with an estimated value of 0.041. This significant positive influence is because SMEs in Semarang City have government regulations, along with government support for facilities regarding efforts to implement the concept of environmental concern, causing high environmental performance caused by the optimal implementation of Green supply chain management is built on a collaboration between the government and the supply chain's participants.","source":"arXiv","year":2022,"language":"en","subjects":["econ.GN"],"doi":"10.56472/25835238/IRJEMS-V1I2P107","url":"https://arxiv.org/abs/2212.12891","pdf_url":"https://arxiv.org/pdf/2212.12891","is_open_access":true,"published_at":"2022-12-25T11:17:17Z","score":66},{"id":"doaj_10.30656/jsii.v9i1.4390","title":"PENERAPAN CUSTOMER RELATIONSHIP MANAGEMENT (CRM) PADA SISTEM INFORMASI PELAYANAN JASA METEOROLOGI BERBASIS WEB ","authors":[{"name":"Imam Agustian  Nugraha"},{"name":"Vidilla  Rosalina"},{"name":"Suherman"}],"abstract":"\nPelayanan jasa informasi meteorologi yang cepat, tepat akurat dan mudah dipahami merupakan salah satu tugas Stasiun Meteorologi (STAMET) Kelas I Maritim Serang. Namun berdasarkan wawancara dan observasi yang dilakukan, menunjukan bahwa pelayanan yang dilakukan belum efisien dan praktis karena pengguna jasa harus datang ke kantor untuk memperoleh data yang diinginkan. Selain itu petugas pelayanan masih mencatat transaksi dalam buku yang kemudian diketik kembali pada aplikasi Microsoft Word, dan mengalami kesulitan dalam mencari berkas yang akan diberikan kepada pengguna jasa. Penelitian ini bertujuan untuk membuat sistem yang dapat membantu tugas STAMET untuk meningkatkan pelayanan jasa meteorologi dengan menggunakan pendekatan Customer Relationship Management (CRM). Metode pengembangan yang digunakan yaitu model prototype dengan perancangan diagram Unified Modelling Language (UML). Sistem dibuat menggunakan Framework Codeigniter dengan Bahasa pemograman Hypertext Preprocessing (PHP) sebagai Server side Programing dan MySQL sebagai Database Server. Metode pengujian sistem yang digunakan adalah Blackbox. Hasil akhir yang diharapkan adalah sebuah sistem informasi pelayanan jasa meteorologi berbasis Web, yang dapat membantu pengguna jasa mendapatkan informasi meteorologi, mempermudah petugas dalam memberikan pelayanan jasa, pembuatan jadwal kunjungan atau pertemuan, mengajukan komplain pelayanan jasa, memberikan kritik dan saran serta mengukur kepuasan pengguna jasa terhadap pelayanan yang diberikan oleh petugas STAMET Kelas I Maritim Serang.\n\r\n\n \n\r\n\nKata Kunci: Customer Relationship Management (CRM), Pelayanan Jasa Meteorologi, Sistem\n","source":"DOAJ","year":2022,"language":"","subjects":["Information technology"],"doi":"10.30656/jsii.v9i1.4390","url":"https://e-jurnal.lppmunsera.org/index.php/jsii/article/view/4390","is_open_access":true,"published_at":"","score":66},{"id":"doaj_Instrumentos+de+control+documental+para+la+Direcci%C3%B3n+de+Planificaci%C3%B3n+F%C3%ADsica+de+un+municipio+","title":"Instrumentos de control documental para la Dirección de Planificación Física de un municipio ","authors":[{"name":"Lauren Reyis Canto Hernández"},{"name":"Yusilka Martínez Veitía"},{"name":"Luis Ernesto Paz Enrique"}],"abstract":"\nObjetivo: Diseñar instrumentos de control documental para la Dirección Municipal de Planificación Física de Santo Domingo, provincia Villa Clara, Cuba, para fortalecer dicha gestión de documentos.\n\r\n\nMétodos: El estudio se clasifica como descriptivo. Para la obtención de resultados se utilizaron los métodos inducción-deducción, analítico-sintético, análisis documental y la encuesta.\n\r\n\nPrincipales resultados: Se diseñaron dos instrumentos de control documental para la entidad; estos fueron: cuadro de clasificación documental y tabla de retención; se estableció además una Comisión De Valoración Documental.\n\r\n\nConclusiones: Se evidenciaron condiciones desfavorables para la gestión documental en el Archivo Central de la organización. Se identifica la falta de espacio para los documentos, así como la ausencia de sistemas de gestión para automatizar los procesos de transferencia documental y digitalizar las series documentales. Se diseñaron instrumentos de gestión documental que contribuyen a minimizar los riesgos a los que se expone la organización y mejorar su gestión. \n","source":"DOAJ","year":2022,"language":"","subjects":["Management. Industrial management","Business"],"url":"https://retos.reduc.edu.cu/index.php/retos/article/view/255","is_open_access":true,"published_at":"","score":66}],"total":5269926,"page":1,"page_size":20,"sources":["arXiv","DOAJ","CrossRef"],"query":"Management. Industrial management"}