Article
Computer Science, Interdisciplinary Applications
Cecilia Daquin, Hamid Allaoui, Gilles Goncalves, Tiente Hsu
Summary: Currently, the production, distribution, and consumption modes have negative effects on ecosystems. To protect the environment, circular economy proposes reducing the environmental footprint through a societal approach. Industrial ecology, as a principle of circular economy, aims to minimize industries' impact on the environment by promoting collaboration through industrial symbioses.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Business
Curtis Goldsby, Marvin Hanisch
Summary: This article provides a guide for scholars and practitioners in the blockchain field, based on interviews with 153 blockchain executives and an analysis of publicly documented use cases. It highlights the coordination and control challenges in blockchain governance contexts and presents four generic governance modes: chief, clan, custodian, and consortium. Managers can use these modes to address blockchain governance challenges.
CALIFORNIA MANAGEMENT REVIEW
(2022)
Article
Development Studies
Nuray Colak Tatli, Sevkiye Sence Turk
Summary: This study compares the transaction costs of two large-scale housing projects in Istanbul to analyze TOKI's impact. It found that TOKI reduced transaction costs in the planning process, but the PPP collaboration with TOKI in land development was less efficient than a private sector project. Time-related costs mainly arose during negotiations in land acquisition and construction phases when partnering with TOKI.
HABITAT INTERNATIONAL
(2022)
Article
Engineering, Industrial
B. David Audretsch, Maksim Belitski
Summary: This study examines the variations in open knowledge collaboration for innovation performance among UK firms in different sectors and geographical locations. By adopting transaction cost theory and appropriability of knowledge, the study takes a resource-based view and emphasizes the limits to open innovation. Using a generalized multi-level mixed model, the hypotheses are tested, while controlling for time, regional, and firm unobserved characteristics. The findings indicate that the limits to open innovation differ across knowledge-intensive sectors and geographic dimensions, with creative sectors experiencing the highest restrictions in knowledge collaboration in both domestic and international markets. The implications for theory and policy are discussed.
Article
Economics
Shantala Samant, Jongwook Kim
Summary: This study examines the development of common benefits and private benefits from alliances, suggesting that a commitment to exchange know-how encourages cooperation and leads to common benefits, while differences in absorptive capacity and knowledge base affect partner relationships, thus influencing private benefits. The hypotheses are tested by analyzing patents filed separately and jointly by partners in the biopharmaceutical industry in the United States.
MANAGERIAL AND DECISION ECONOMICS
(2021)
Article
Environmental Studies
G. GeiBler, K. Tokarczyk-Dorociak, A. Jiricka-Puerrer, T. B. Fischer
Summary: The main objective of this paper is to reflect on the benefits and challenges of collaboration between academics and practitioners in SEA processes. Three non-routine SEA case studies from Central Europe are explored, focusing on the perceptions and roles of academics and SEA actors. The results show a positive perception of collaboration, with benefits including the introduction of novel ideas and assessment methods, contribution of knowledge from academic literature, and scientific backing for new approaches. Challenges include negative previous experiences and contextual factors. Academics benefit from implementing research knowledge in practice, and teaching becomes more informed by real life situations.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Telecommunications
Amir Alipour-Fanid, Monireh Dabaghchian, Raman Arora, Kai Zeng
Summary: This research focuses on the spectrum allocation issue in cognitive radio networks, proposing two online learning algorithms for CBS scheduling with proven sublinear optimal regret performances. Experimental results support the theoretical findings.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2022)
Article
Computer Science, Information Systems
Liang Qiao, Hongcheng Yan, Xiaoyi Zhou, Yong Xu, Luyuan Wang, Xin Wen
Summary: In this paper, we propose an onboard centralized inter-satellite link (ISL) building planning scheme for autonomous topology management in large-scale low earth orbit (LEO) satellite constellation projects. We provide a multi-antenna visibility calculation method and formulate the link-building planning process using integer linear programming (ILP). Furthermore, we present a link-building planning method based on topology stability optimization to tackle the computational complexity problem of ILP. Simulation results demonstrate the successful realization of network status collection, visibility calculation, link-building planning, and planning result distribution by the proposed scheme.
Article
Management
Xuechun Wang, Ziteng Fan
Summary: This study explores the conditions under which cities collaborate more with one another in interlocal collaboration for service delivery for migrant workers in Guangdong Province, China. The study finds that geographical proximity, workforce similarity, and administrative status asymmetry are positively related to partner selection and collaboration degree.
PUBLIC MANAGEMENT REVIEW
(2022)
Article
Computer Science, Information Systems
Xiang Yan, Jun Li, Bizhou Mei
Summary: This paper introduces a collaborative optimization design for a centralized networked control system based on jitter, which modifies the media allocating model of MVB to minimize network resource occupancy rate of the subsystem. The proposed strategy is further optimized using an algorithm based on EDA to enhance the performance of the control system.
Article
Engineering, Industrial
Peter Burggraef, Matthias Dannapfel, Dennis Schneidermann, Matthias Ebade Esfahani
Summary: Industrial sectors are facing challenges in production and control processes due to macroeconomic trends such as digitisation. SMEs, which often play a subordinate role in factory planning and have limited resources, manifest resentments towards network collaborations despite the potential benefits of sharing resources and risks.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Energy & Fuels
Xiaobo Mao, Mingfeng Xue, Tianhan Zhang, Weitao Tan, Zhi Zhang, Yongtao Pan, Hansong Wu, Zhenzhi Lin
Summary: A blockchain-based framework is proposed to address the challenges in demand response programs, and its feasibility is demonstrated through simulation experiments.
Article
Business, Finance
Leonhard Brinster, Tereza Tykvova
Summary: The study shows that portfolio companies benefit from ties among venture capitalists, improving their access to strategic alliance partners and mitigating asymmetric information problems. Companies sharing the same VC tend to form more frequent strategic alliances, which tend to perform well. alliances between companies from connected VCs' portfolios tend to have higher IPO chances.
JOURNAL OF CORPORATE FINANCE
(2021)
Article
Thermodynamics
Ni Wang, Remco A. Verzijlbergh, Petra W. Heijnen, Paulien M. Herder
Summary: Energy system optimization models are commonly used to assist in long-term investment decision-making. Existing models primarily focus on cost modeling of the technical subsystem, while neglecting the indirect costs associated with the social subsystem. This paper introduces indirect costs into the model, including those related to generation capacity, energy production, and bilateral trades. Through a case study of the Dutch power system, it is shown that incorporating indirect costs significantly alters optimal investment capacities and associated costs compared to traditional models. Furthermore, the model is used to address a potential free-rider problem and help achieve socially acceptable investment plans.
Review
Green & Sustainable Science & Technology
Salomon Espinosa Diaz, Francesco Riccioli, Francesco Di Iacovo, Roberta Moruzzo
Summary: Agri-environment-climate measures (AECMs) involve transaction costs (TC) in the ecological capital exchange between the government and farmers. However, the analysis of TC in AECMs has been limited and lacks a systematic approach. This review aims to provide an overview of the current research on TC in AECMs, exploring methodological differences and summarizing significant findings. The studies show variations in TC based on geographical context, program actors, and methodological approaches, with factors such as schemes, institutional environment, and farmer characteristics influencing TC magnitude.
Article
Operations Research & Management Science
Ali Diabat, Claudia Archetti, Waleed Najy
Summary: This paper introduces a variant of the inventory routing problem called the fixed-partition policy IRP (FPP-IRP), which partitions customers into fixed clusters for distribution. By restricting flexibility, FPP-IRP can improve operational efficiency, robustness, and consistency in distribution policy. Two fixed-partition policies are presented along with mathematical formulations and valid inequalities, and a worst-case analysis of their performance is conducted. Extensive computational results demonstrate the potential benefits of these policies.
TRANSPORTATION SCIENCE
(2021)
Article
Management
Claudia Archetti, Gianfranco Guastaroba, Diana L. Huerta-Munoz, M. Grazia Speranza
Summary: This paper studies an inventory routing problem and presents a matheuristic approach that uses information gathered by tabu search to build small-sized mixed-integer linear programming problems. Experimental results show that this approach outperforms other state-of-the-art algorithms in terms of solution quality.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2021)
Article
Management
Manuel Trotta, Claudia Archetti, Dominique Feillet, Alain Quilliot
Summary: In this paper, we introduce a new class of Pickup and Delivery problems on circles and discuss their classification scheme. We address the variants of these problems in which vehicles are allowed to move in a single direction on the circle and the objective is to minimize the number of tours while serving all the requests. We provide complexity analysis, develop polynomial time algorithms, and prove NP-hardness for certain variants. Additionally, we present mathematical formulations and computational tests to assess the effectiveness of the solutions. Finally, we compare optimal solutions with a greedy algorithm.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Wenjuan Gu, Claudia Archetti, Diego Cattaruzza, Maxime Ogier, Frederic Semet, M. Grazia Speranza
Summary: This paper addresses a Multi-Commodity two-echelon Distribution Problem (MC2DP) involving suppliers, distribution centers, and customers. The goal is to minimize transportation cost from suppliers to customers by using consolidation at distribution centers. The paper proposes two sequential schemes to solve the problem and evaluates different strategies.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Review
Management
Claudia Archetti, Ivana Ljubic
Summary: This paper proposes an analysis and comparison of the strength of lower bound in different formulations for the Inventory Routing Problem (IRP). It investigates the equivalence between aggregated formulations and formulations with exponentially many constraints, as well as between aggregated and disaggregated formulations in terms of linear relaxation value. The analysis fills a research gap in the field of IRP and presents competitive exact solution approaches based on aggregated formulations.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Melih Celik, Claudia Archetti, Haldun Sural
Summary: This study focuses on the efficient management of storage replenishment operations in warehouses to ensure the availability of items for picking and reduce operating costs. By defining the storage replenishment routing problem and using a heuristic approach, the effects of different factors on replenishment performance were analyzed and compared to benchmarks in practice.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Andrea Mor, Claudia Archetti, Ola Jabali, Alberto Simonetto, M. Grazia Speranza
Summary: This study addresses the long-haul truck scheduling problem by optimizing fuel costs and path duration through a bi-objective algorithm, demonstrating significant improvements in fuel cost efficiency while maintaining stable path duration.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Diana L. Huerta-Munoz, Claudia Archetti, Elena Fernandez, Federico Perea
Summary: This paper introduces the Flexible Periodic Vehicle Routing Problem with Heterogeneous Fleet, a variant of the Periodic Vehicle Routing Problem. It proposes three Mixed-Integer Linear Programming formulations and a matheuristic based on Kernel Search. Computational tests are conducted to evaluate the performance of the formulations and assess the quality of the solutions provided by the matheuristic.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Review
Management
Claudia Archetti, Lorenzo Peirano, M. Grazia Speranza
Summary: This article provides an overview of the state of the art in multimodal freight transportation optimization, including different combinations of modes and emerging trends for future research.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Andrea Di Placido, Claudia Archetti, Carmine Cerrone
Summary: This paper introduces the Close-Enough Traveling Salesman Problem and proposes a genetic algorithm to optimize the solution. Test results show that the GA produces better or similar solutions compared to existing algorithms. Different metrics are proposed to classify problem instances and the previously proposed metric, Overlap Ratio, is revised. A case study related to solar panel diagnostic reconnaissance is presented to demonstrate the benefits of applying the GA approach.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Transportation Science & Technology
Waleed Najy, Claudia Archetti, Ali Diabat
Summary: With the retail market being highly competitive, it is crucial for businesses to conduct cost-efficient operations. Therefore, the logistics industry has started incorporating drones into the delivery cycle to reduce transportation costs. The concept of collaborative truck-and-drone operation has been proposed as a way to combine the advantages of both modes of delivery while minimizing their downsides.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Computer Science, Interdisciplinary Applications
Javaiz Parappathodi, Claudia Archetti
Summary: This paper proposes a crowdsourced humanitarian relief vehicle routing problem and presents a heuristic algorithm to generate high-quality solutions. Extensive computational studies are conducted to analyze the algorithm's performance and the impact of problem features on solution quality.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Economics
Diego Delle Donne, Laurent Alfandari, Claudia Archetti, Ivana Ljubic
Summary: In this study, we propose a delivery strategy called Freight-On-Transit (FOT) that combines freight transportation with mass mobility systems in urban areas to minimize negative externalities caused by transportation. The system utilizes the residual capacity on public transport means to transport parcels from distribution centers to stop locations on public vehicle itineraries, and then they are delivered to the final destination using green vehicles. We focus on the strategic decisions related to defining the public transportation network and propose different formulations for the problem and effective heuristic solution approaches based on column generation.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Management
Martina Cerulli, Domenico Serra, Carmine Sorgente, Claudia Archetti, Ivana Ljubi
Summary: This study introduces a solution for finding the k-core and Collapsed k-Core Problem using mathematical programming for the first time, providing two bilevel programs and comparing their performance with existing solvers.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Andrea Di Placido, Claudia Archetti, Carmine Cerrone, Bruce Golden
Summary: This paper studies the generalized close enough traveling salesman problem (GCETSP), which involves associating each customer with a set of disks of different radii. The goal is to determine the route that maximizes the difference between the total collected prize and the route length. The proposed genetic algorithm (GA) shows promising results in finding high-quality solutions with a short computing time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Hengyu Liu, Kai Zheng
Summary: Since August 2018, African swine fever (ASF) has caused over one million pig deaths in China and led to a surge in pork prices. To address this issue, the Chinese government has implemented two farm subsidies: the compulsory culling subsidy (CCS) and the large-scale breeding subsidy (LBS). Through a game-theoretic model, the study explores the optimal design of these subsidy programs and their impacts on different stakeholders.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Reza Azad Gholami, Leif Kristoffer Sandal, Jan Uboe
Summary: This paper investigates a decentralized supply channel where a manufacturer and a retailer compete in a multi-period discrete time setting, addressing uncertain demand through dynamic channel optimization. The paper proposes solution algorithms and theorems that highlight the benefits of postponement strategies for the follower and potential harm for the manufacturer in a decentralized channel.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Anne G. Balter, Ki Wai Chau, Nikolaus Schweizer
Summary: This study examines whether the threshold parameter in the Omega ratio represents risk aversion by analyzing the asymptotic expansions for risk premia. The results suggest that the threshold in the Omega ratio represents risk aversion when the variance of the additional risk decreases with the background risk and when the density of the background risk is log-concave. Comparisons with expected utility criteria indicate that the conditions for the Omega threshold to represent risk aversion are comparable to those for exponential utility functions.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Baozhuang Niu, Fengfeng Xie, Lei Chen
Summary: This paper examines the strategic sourcing decisions of a local brand (BOP) when purchasing remanufactured components from a local supplier (LSP). The study finds that the BOP tends to decrease its purchasing orders from the LSP when the probability of overseas supply disruption is high, while the LSP is willing to sell components to the BOP when the probability is in a moderate range.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Chiang Kao
Summary: This study develops a model to calculate the maximum SBM efficiency for general network production systems, and applies it to a garment manufacturing company. The results show that the sewing operation contributes more to the system efficiency than the cutting operation does.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Baozhuang Niu, Jiayun Liu, Jianhua Zhang, Kanglin Chen
Summary: This study examines a brand's decision on reselling through a platform by using game-theoretical analysis and big data validation based on transaction-level data from JD.com. The study finds that the platform's channel advantage and high logistics service level encourage brands to choose the reselling mode, and the impact of the platform's private label competition is non-monotonic.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Ali Fereydooni, Sasan Barak, Seyed Mehrzad Asaad Sajadi
Summary: This study develops an online portfolio selection strategy that considers Environmental, Social, and Governance factors in addition to return and risk. The results indicate the superiority of the approach that considers Environmental, Social, and Governance factors in terms of profit, volatility, and the highest deflated Sharpe ratio.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Sally Giuseppe Arcidiacono, Salvatore Corrente, Salvatore Greco
Summary: This paper introduces a method to handle multiple compatible value functions in multi-criteria decision making by building a probability distribution. Stochastic multicriteria acceptability analysis provides statistical information based on the decision maker's preferences. Extensive simulations and sensitivity analysis have been conducted to demonstrate the superiority of the proposed method.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Junlin Chen, Zewu Jiang, Xiaobo Zhao, Wanshan Zhu, Jinxing Xie
Summary: In this study, we investigate a supply chain system consisting of a retailer and a supplier. We examine the threshold problem in contract design and take into account the risk preference of the retailer and the fairness concern of the supplier. The experiment shows that the behavior of the retailer affects the threshold of the optimal contract design, while the behavior of the supplier only affects the optimal wholesale price. These findings suggest that the behavior of retailers and suppliers play a crucial role in the mechanism design of supply chains.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Shuxia Peng, Bo Li, Wei Zheng
Summary: This study examines the impact of consumers' valuation updating on optimal pricing decisions and market structure in a competitive software market. The results show that with consumers' valuation updating, the incumbent can maximize profits through market segmentation, dominance, or entry deterrence strategies, and is willing to share the market with the entrant, achieving a win-win situation.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Victor Gimenez, Diego Prior, Claudio Thieme, Emili Tortosa-Ausina
Summary: This study proposes a nonparametric activity analysis methodology to assess the effectiveness of pandemic management in 61 countries nine months into the COVID-19 pandemic. The results show that effectiveness is strongly influenced by socioeconomic and cultural factors and reveal three main groups of countries based on their management level. This highlights the importance of operations research methods in accurately assessing pandemic management.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Narges Sereshti, Yossiri Adulyasak, Raf Jans
Summary: This paper investigates the stochastic multi-level lot sizing problem with a service level and explores the value of adding flexibility in such context. By modeling the problem as a two-stage stochastic program with uncertain demand and considering different demand scenarios, the study shows that adding flexibility to the system can result in cost savings, even with a small degree of flexibility.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Jafar Chaab, Georges Zaccour
Summary: This paper examines the pricing of a new product in the presence of sophisticated consumer behaviors. The study finds that forward-looking consumer behavior can either strengthen or weaken the effectiveness of a penetration pricing strategy, while the superiority of committed pricing in terms of firm's profit heavily depends on consumer behaviors.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Amelia Bilbao-Terol, Celia Bilbao-Terol
Summary: This paper presents a methodology that combines the hedonic pricing method and the Choquet integral for modelling the hotel selection process. This hybrid technique takes into account both market valuation and the importance of criteria, and holds potential benefits.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Hui Li, Dongdong Wu
Summary: This study aims to investigate the impact of scale effects from restructuring on performance in tourism firms, and examine the influence of investor attention on restructuring performance. The findings reveal that restructuring activities can enhance scale effects, but the benefits decrease over time, and investor attention online also plays a role in determining restructuring performance.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)