Article
Computer Science, Interdisciplinary Applications
Bangdong Zhi, Xiaojun Wang, Fangming Xu
Summary: Portfolio optimization using copula models was studied to investigate how inventory financing providers can utilize timely market information of collaterals to mitigate default risks. The general canonical vine copula demonstrated superior predictive performance over MVN and other copulas, suggesting its potential in constructing portfolio strategies for risk mitigation.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Multidisciplinary Sciences
Bradley R. King, Mareike A. Gann, Dante Mantini, Julien Doyon, Genevieve Albouy
Summary: Research suggests that neural activity patterns related to motor learning persist during post-learning rest, and hippocampal reactivation reflects the spatial representation of the learned motor sequence.
Article
Business
Nitish Gupta, Hyunkyu Park, Rob Phaal
Summary: This study, based on qualitative research in the electrical machinery, medical device, and pharmaceutical sectors, reveals the five phases of portfolio management process and the four actors involved. It also identifies three levers that shape the portfolio management process. Implications for portfolio management studies and practices are discussed based on these findings.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Environmental Studies
Wajdi Moussa, Nidhal Mgadmi, Azza Bejaoui, Rym Regaieg
Summary: This study investigates the dynamic relationships between Bitcoin, Oil, Natural Gas, Gold, and Coal over the period 2011-2018. The results show significant long-term equilibrium links between them. Bitcoin exhibits asymmetric and nonlinear behavior in the adjustment process. Gold and Oil prices significantly influence Bitcoin prices, and current Bitcoin prices have a significant impact on their past prices, suggesting symmetric memory effects over time.
Article
Business, Finance
Mehmet Umutlu, Seher Goren Yarg
Summary: Using alternative measures of return correlations, this study finds that neither industry nor country correlations exhibit an ever-increasing trend. Instead, correlations spike during recessions and tend to revert in stable periods. The mean of industry correlations is lower than that of country correlations, suggesting that cross-industry diversification is more efficient. Furthermore, diversifying through industries in emerging markets results in lower mean correlations compared to diversifying through industries in developed markets.
FINANCE RESEARCH LETTERS
(2022)
Article
Management
Brent B. Moritz, Arunachalam Narayanan, Chris Parker
Summary: The study examines the impact of human behavior on the bullwhip effect in supply chains. It distinguishes between rational and irrational ordering, finding that behavioral ordering can lead to uneven cost increases across different echelons. The results suggest that managers should focus on mitigating the impact of behavioral ordering, with retailers having a disproportionately high impact on supply chain costs.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Industrial
Lin Li, Ou Tang, Wei Zhou, Tijun Fan
Summary: This study introduces the concept of the backroom effect and investigates the impact of the deterioration rate difference between perishable products in the backroom and on retail shelves on joint shelf-space and inventory decisions. By developing a decision-making model that determines both inventory replenishment policy and shelf space allocation, the study finds that a strategy considering the backroom effect can increase profit.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Environmental Studies
Ela Ertunc
Summary: In this study, the transportation-induced carbon footprint values were calculated before and after land consolidation projects in two similar agricultural areas. The study used the IPCC Tier 1 method to calculate the carbon footprint and also determined the effects of changes in road lengths and routes on fuel consumption and CO2 emissions. The results showed a decrease of 10% and 33% in carbon footprint values after the land consolidation project in the Fatih and Selimiye neighborhoods respectively. The reduction in GHG emissions was measured at 490.21 kg CO2 center dot ha(-1). These findings highlight the potential benefits of land consolidation in mitigating greenhouse gas emissions and improving agricultural productivity in rural areas.
Article
Engineering, Manufacturing
Haijian Si, Stylianos Kavadias, Christoph Loch
Summary: This study provides an overview of portfolio management approaches and research advances in innovation management, and identifies an overemphasis on project selection as the root cause of challenges in innovation portfolio management.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Multidisciplinary Sciences
Seddigheh Edalat Sarvestani, Nahid Hatam, Mozhgan Seif, Leila Kasraian, Fazilat Sharifi Lari, Mohsen Bayati
Summary: This study aimed to predict the demand for different blood groups in Shiraz using ARIMA, ANN, and a hybrid model. Based on the MSE and MAE criteria, ARIMA had the best prediction for most blood groups. Overall, the blood demand showed a downward trend, with an increasing demand for four negative blood groups.
SCIENTIFIC REPORTS
(2022)
Article
Economics
Adam Makkonen, Daniel Vallstrom, Gazi Salah Uddin, Md Lutfur Rahman, Michel Ferreira Cardia Haddad
Summary: This study examines the dynamic impact of temperature anomaly and macroeconomic fundamentals on agricultural commodity futures returns using quantile regression. The results show that temperature anomaly has a significant impact on futures returns in extreme market conditions, and that agricultural commodity futures returns respond positively to stock returns and are negatively influenced by exchange rate changes. Additionally, economic activities and uncertainty measures do not have a strong impact on agricultural commodity futures returns.
Article
Operations Research & Management Science
Yulan Zhou, Hao Li, Shuoqi Hu, Xiaozhong Yu
Summary: This paper studies the sulfur product supply chain and identifies the bullwhip effect. It proposes optimization suggestions including establishing an information sharing platform, implementing visual information management, and adopting logistics transportation service outsourcing to improve the operational efficiency of the entire supply chain.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Business, Finance
Luis Chavez-Bedoya, Francisco Rosales
Summary: This document provides a theoretical analysis of the effects of redundant constraints on the out-of-sample performance of optimal MV portfolios, showing that adding any set of redundant linear constraints can improve the out-of-sample performance of the plug-in estimator of the optimal MV portfolio. The study also illustrates a trade-off between diversification and estimation risk when risky assets are equally correlated and identically distributed, with the allocation of estimation risk across portfolios forming the optimal solution changing dramatically in terms of number of assets and correlations.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2021)
Article
Management
Jadena Bechtel, Carsten Kaufmann, Alexander Kock
Summary: Recent literature highlights the importance of agility in a dynamic environment for the success of a project portfolio. Dynamic capabilities, which assist organizations in coping with dynamic environments, should serve as relevant antecedents to portfolio agility. These capabilities are composed of three dimensions: sensing, seizing, and reconfiguring. While previous literature has emphasized the importance of dynamic capabilities in project portfolio management (PPM), empirical analysis of these capabilities in PPM has been scarce. Furthermore, different conceptualizations of dynamic capabilities coexist and their effects on research results remain unclear.
INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT
(2023)
Article
Business, Finance
Thomas Cauthorn, Maurice Dumrose, Julia Eckert, Christian Klein, Bernhard Zwergel
Summary: This paper provides important evidence on the effects of ESG rating changes on companies' stock performance by replicating the calendar-time portfolio analysis for US stocks. Contradictory results are found, which are robust to the omnipresent rating heterogeneity problem. The differences in the results can be explained by four methodological mistakes in the original study.
FINANCE RESEARCH LETTERS
(2023)
Article
Management
Javad Gerami, Mohammad Reza Mozaffari, Peter F. Wanke, Henrique L. Correa
Summary: In this paper, a novel general inverse data envelopment analysis model is presented for evaluating the restructuring of decision-making units. The proposed model shows improvements in estimating the input/output levels, handles decision-maker's preferences, and provides an algorithm for determining the worst case-scenario in restructuring.
IMA JOURNAL OF MANAGEMENT MATHEMATICS
(2023)
Article
Management
Peter Wanke, Sahar Ostovan, Mohammad Reza Mozaffari, Javad Gerami, Yong Tan
Summary: This paper presents a two-stage network model based on stochastic ratio data. Different techniques are used to analyze the internal relationships of the two-stage network, and the efficiency scores obtained from three different strategies are compared. The results show that the models generate similar efficiency scores within a certain range, but there is a relatively higher degree of variation in some cases.
JOURNAL OF MODELLING IN MANAGEMENT
(2023)
Article
Computer Science, Artificial Intelligence
Peter Wanke, Fernando Rojas, Yong Tan, Jorge Moreira
Summary: This study addresses two gaps in the literature regarding the black-box conversion process of financial ratios and the temporal dependence in the input/output set. It proposes an innovative DEA-Ratio model for undesirable financial output ratios and applies a generalized Auto-Regressive Moving Average model to analyze temporal dependence. The study provides insights into efficiency levels and future trends of financial ratios.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
A. Hadi-Vencheh, P. Wanke, A. Jamshidi, Jorge Antunes
Summary: This paper proposes a robust ABC inventory classification method using a hybrid technique to calculate and rank importance scores for each inventory item. The method mitigates multicollinearity among different inventory criteria by applying the TOPSIS-AFEA approach. Additionally, information reliability techniques such as information entropy and gray relational analysis are used to differentiate alternative ABC methods based on the principle of maximal entropy. The results demonstrate that the proposed method provides an adequate representation of score ranks and is applicable to different datasets.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
(2023)
Article
Computer Science, Interdisciplinary Applications
Amir Karbassi Yazdi, Farhan Muhammad Muneeb, Peter Fernandes Wanke, Thomas Hanne, Adnan Ali
Summary: This research proposes a novel multi-attribute decision-making (MADM) model to determine how, when, and where temporary hospitals should be installed during the uncertain COVID-19 pandemic. The study uses critical success factors (CSFs) to evaluate and rank temporary facilities, aiming to improve services and resource utilization. The research introduces hybrid Pythagorean fuzzy numbers for weight determination and an area-based method for ranking. Policy implications and future directions are also discussed.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Management
Chowdhury Noushin Novera, Regina Connolly, Peter Wanke, Md. Azizur Rahman, Md. Abul Kalam Azad
Summary: This study conducted a comprehensive review on the mental health of health workers and their social media habits using text mining and bibliometric analysis. The findings identified thematic networks in the literature and revealed ten topic models. These results are important for academics, health practitioners, and medical specialists to better support the mental health of health workers through social media.
JOURNAL OF MODELLING IN MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Jorge Antunes, Peter Wanke, Thiago Fonseca, Yong Tan
Summary: This study investigates the relationship between financial distress and ESG through a dynamic network DEA model, where financial-distress efficiency scores are computed based on accounting and financial indicators. The results suggest that firms with an ESG Risk Score are less likely to experience financial distress, and Governance Score is negatively associated with financial distress efficiency.
Article
Chemistry, Multidisciplinary
Peter Fernandes Wanke, Roberto Pimenta, Jorge Antunes, Yong Tan, Abdollah Hadi-Vencheh
Summary: This paper investigates the endogenous source of railway performance in Brazil with a focus on multiple rail sections. A new Two-Dimensional Fuzzy-Monte Carlo Analysis (2DFMC) approach is proposed, which includes a multi-attribute decision-making (MADM) model based on type-2 fuzzy sets (T2FS) and a Stochastic Structural Relationship Programming (SSRP) Model based on neural networks. The results suggest that the inclination of rail operators to use bottlenecked rail sections has a chained effect on the measurement of idleness. It is recommended that balancing and coordinating bottleneck, minimum curve radius, and installed capacity are prerequisites for improving railway performance.
APPLIED SCIENCES-BASEL
(2023)
Article
Economics
Jorge Antunes, Yong Tan, Peter Wanke, Charbel Jose Chiappetta Jabbour
Summary: This study uses a novel TEA-IS model to assess the road transportation sustainability performance of 29 Chinese provinces over a 14-year period, and employs machine learning techniques to predict high-low performance and synergistic provinces. The results indicate that TEA-IS has good discriminatory power and there is high synergy in sustainable road transportation in China. Additionally, there is a high level of heterogeneity in road transportation sustainability among different geographical locations in China. Innovation index, foreign direct investment, and non-coastal cities are associated with higher performance and synergy levels. The Chinese government is recommended to provide favorable policies to enhance innovation and attract more foreign direct investment, and to further develop and utilize other modes of transportation such as air and sea.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Management
Peter Wanke, Jorge Junio Moreira Antunes, Antonio L. L. Filgueira, Flavia Michelotto, Isadora G. E. Tardin, Yong Tan
Summary: This study aims to investigate the long-term productivity performance of OECD countries from 1975 to 2018. The findings suggest that countries with higher freedom of religion and with Presidential democracy regimes are positively associated with higher productivity.
BENCHMARKING-AN INTERNATIONAL JOURNAL
(2023)
Article
Management
Amir Homayoun Sarfaraz, Amir Karbassi Yazdi, Thomas Hanne, Peter Fernandes Wanke, Raheleh Sadat Hosseini
Summary: This paper investigates the efficiency indices of Tehran water utility maintenance teams using different DEA models and then assesses the efficiency of these maintenance units using a FIS. Two performance indicators, Availability efficiency and Repair time efficiency, are introduced for performance assessment. In addition, a new index named MRRW is suggested by combining DEA efficiency with the RRW index. The study presents future improvement strategies based on the output of the FIS.
OPERATIONS MANAGEMENT RESEARCH
(2023)
Article
Engineering, Chemical
Mauricio Huerta, Victor Leiva, Fernando Rojas, Peter Wanke, Xavier Cabezas
Summary: This article investigates the effect of time-dependence on inventory consolidation using an autoregressive moving average model. The results show that consolidation can reduce inventory costs under time-dependence, and dedicated locations are beneficial for inventory replenishment. In addition, temporal structures can also lower the costs of maintaining safety stocks.
Article
Management
Rafael Teixeira, Jorge Junio Moreira Antunes, Peter Wanke, Henrique Luiz Correa, Yong Tan
Summary: This study aims to measure and reveal the relationship between customer satisfaction and efficiency levels in the most relevant Brazilian airports. The authors utilize a two-stage network DEA and AHP model as the cornerstones of the study. The results indicate that the impact of efficiency levels on customer satisfaction is mediated by a set of socio-economic and demographic variables. Furthermore, encouraging investment in airports is necessary to improve customer satisfaction.
BENCHMARKING-AN INTERNATIONAL JOURNAL
(2023)
Article
Energy & Fuels
Amir Mehdiabadi, Amir Karbassi Yazdi, Peter Fernandes Wanke, Henrique Luiz Correa
Summary: This study uses soft computing to rank Iranian LPG companies' after-sales service in terms of global competitors' best practices, comparing with four global companies as benchmarks. Fuzzy importance and performance analysis (FIPA) is used to identify customary after-sales performance indicators, and then step-wise weight assessment ratio analysis (SWARA) is employed to determine their relative weights. Using fuzzy complex proportional assessment (FCOPRAS), the top 12 Iranian LPG companies are ranked in terms of market share. This paper combines FIPA, SWARA, and FCOPRAS for the first time to identify the most important factors for ranking LPG companies in the world-class after-sales services category.
INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Jorge Antunes, Abdollah Hadi-Vencheh, Ali Jamshidi, Yong Tan, Peter Wanke
Summary: This study contributes to the empirical literature by proposing innovative models to estimate the cost efficiency of Chinese banks and evaluate the interrelationships between efficiency and other bank-specific variables. The findings show that Chinese commercial banks experienced an increase in efficiency from 2010 to 2015, followed by slight volatility. Banks with lower efficiency levels benefit from improving their efficiency, while banks with higher efficiency levels need alternative profitable businesses to sustain their efficiency.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
