Article
Economics
Oliver Meier, Tim Gruchmann, Dmitry Ivanov
Summary: Achieving a circular economy is a significant challenge in the face of increasing environmental challenges and social discrepancies. Blockchain technology has the potential to help implement circular supply chain management, offering benefits such as supply chain traceability and sensing capabilities. This study identifies the necessary dynamic capabilities for successful implementation of circular supply chain management through blockchain technology, highlighting the contingencies associated with business models.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Biochemical Research Methods
Ruoyu Tang, Xinyu He, Ruiqi Wang
Summary: The study presents a general computational method for constructing maps between different cell fates and parametric conditions by systematic perturbations. The method does not require accurate parameter measurements or bifurcations. The maps obtained can help in understanding how systematic perturbations drive cell fate decisions and transitions, providing valuable information for predicting and controlling cell states.
Article
Business
Natalie McDougall, Beverly Wagner, Jill MacBryde
Summary: This paper aims to develop frameworks to support implementation and competitive leveraging of distinct sustainable supply chain operations. Specific interrelations between each NRBV resource and corresponding supply chain strategies are conceptualised, resulting in definition of 107 dynamic NRBV capabilities. The research contributes to practical guidance for firms in operationalizing NRBV resources and offers a broader research agenda for the NRBV in sustainable supply chain management.
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL
(2022)
Article
Management
Yashoda Devi, Abhishek Srivastava, Nitin Koshta, Atanu Chaudhuri
Summary: This study aims to examine the role of operations and supply chain management (OSCM) in promoting social sustainability and proposes the stakeholder dynamic capabilities (SDC) view as a way to address the social challenges caused by COVID-19.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2023)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Xiaojing Chen
Summary: This paper proposes a robust method for PLS based on the idea of least trimmed squares (LTS), which effectively deals with high-dimensional regressors. By formulating the LTS problem as a concave maximization problem, the complexity of solving LTS is simplified. The results from simulation and real data sets demonstrate the effectiveness and robustness of the proposed approach.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Thamir Hamad Alaskar
Summary: This study adopts the TOE framework to evaluate the impact of business analytics (BA) capabilities on firm performance and addresses the mediating role of innovation capabilities. The results show that organizational factors have a significant impact on firm performance, while IT infrastructure and information quality have no significant and positive effect. Moreover, the findings reveal that innovation capabilities positively mediate the link between IT infrastructure and information quality and firm performance.
Article
Business
Mohsin Malik, Hadi Ghaderi, Amir Andargoli
Summary: This study suggests that the ability of firms to leverage supply chain traceability to improve financial performance is contingent upon creating a perception of transparency in the supply chain with a wide range of stakeholders. Additionally, firm size and international presence were found to have a significant impact on firms' ability to utilize supply chain traceability and transparency capabilities for competitive advantage.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2021)
Article
Multidisciplinary Sciences
Emilio Gomez-Gonzalez, Alejandro Barriga-Rivera, Beatriz Fernandez-Munoz, Jose Manuel Navas-Garcia, Isabel Fernandez-Lizaranzu, Francisco Javier Munoz-Gonzalez, Ruben Parrilla-Giraldez, Desiree Requena-Lancharro, Pedro Gil-Gamboa, Cristina Rosell-Valle, Carmen Gomez-Gonzalez, Maria Jose Mayorga-Buiza, Maria Martin-Lopez, Olga Munoz, Juan Carlos Gomez-Martin, Maria Isabel Relimpio-Lopez, Jesus Aceituno-Castro, Manuel A. Perales-Esteve, Antonio Puppo-Moreno, Francisco Jose Garcia-Cozar, Lucia Olvera-Collantes, Raquel Gomez-Diaz, Silvia de los Santos-Trigo, Monserrat Huguet-Carrasco, Manuel Rey, Emilia Gomez, Rosario Sanchez-Pernaute, Javier Padillo-Ruiz, Javier Marquez-Rivas
Summary: This study demonstrates the feasibility of using hyperspectral image analysis in the visible and near-infrared range for primary screening of SARS-CoV-2. By applying spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence, information can be extracted from fluid samples and analyzed quantitatively and descriptively. The proposed technology is reagent-free, fast, scalable, and could significantly reduce the number of molecular tests required for COVID-19 mass screening, even in resource-limited settings.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Freeh N. Alenezi
Summary: The study introduces a method for variable selection in high dimensional data modeling, using majority scoring with backward elimination in PLS to improve prediction accuracy. The method performs well in predicting corn and diesel contents, while also examining the impact of data properties on prediction behavior.
SCIENTIFIC REPORTS
(2021)
Article
Automation & Control Systems
Matteo Stocchero, Martino De Nardi, Bruno Scarpa
Summary: In this study, an alternative formulation of PLS2 based on gradient descent method is proposed and a new algorithm called gradient descent PLS2 is introduced to solve the least squares problem. The algorithm uses well-defined elements of linear algebra and is developed within the field of non-linear programming, showing equivalent performance to the standard eigenvalue PLS2 algorithm.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Chemistry, Analytical
Marina Antonio, Renato L. Carneiro, Ruben M. Maggio
Summary: This study evaluated the feasibility of using middle- and near-infrared spectroscopy, as well as Raman spectroscopy, coupled with multivariate calibration to quantify MLXForm I in commercial raw material. The results showed that NIR-PLS had the best predictive capacity.
MICROCHEMICAL JOURNAL
(2022)
Article
Management
Khaled Hussein, Dong-Wook Song
Summary: This paper investigates the impact of port supply chain integration (PSCI) on port economic and environmental sustainability. The findings reveal that adopting an integrative strategy can improve cost efficiency, financial situation, and service quality of a port, as well as promote pollution management, energy efficiency, and green port practices.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2023)
Article
Environmental Sciences
Onuwa Okwuashi, Christopher E. Ndehedehe, Dupe Nihinlola Olayinka
Summary: This research explores the novel application of Tensor Partial Least Squares (TPLS) for hyperspectral image classification. The results show that TPLS performed better than unfolded PLS, but fell short of traditional classifiers.
GEOCARTO INTERNATIONAL
(2022)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Limin Li, Xiaojing Chen
Summary: In this study, a new robust PLS method called partial least median of squares (PLMS) regression is proposed by incorporating the idea of least median of squares. Unlike most existing robust methods, the PLMS problem is solved using modern optimization techniques rather than heuristic processes or reweighting strategies. Comparisons are made with a classical PLS method and two efficient robust PLS methods, demonstrating the effectiveness and robustness of the proposed approach through simulations and real-world data sets.
JOURNAL OF CHEMOMETRICS
(2022)
Article
Business
Syed Abdul Rehman Khan, Zhang Yu, Muhammad Umar, Muhammad Tanveer
Summary: This study investigates the role of green capabilities in the adoption of green purchasing practices in manufacturing firms. The findings highlight the positive impact of green purchasing practices on economic and environmental performance, while social performance remains unaffected.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2022)
Article
Management
Sadaf Aman, Stefan Seuring
Summary: This study investigates the resilience factors in developing regions such as Pakistan, India, and Iran, and finds that supply chain disruption is a major vulnerability. The study suggests that resource reconfiguration and social capital play a crucial role in enhancing resilience.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2023)
Article
Operations Research & Management Science
Kongmanas Yavaprabhas, Mehrdokht Pournader, Stefan Seuring
Summary: This paper investigates the impact of blockchain application on trust levels in supply chains by reviewing relevant literature. The study finds that blockchain implementation involves three pairs of trustors and trustees, and it is likely to enhance cognition-based and institution-based trust. Blockchain technology can facilitate swift trust-building between unknown supply chain partners. However, there are contradicting assertions among scholars regarding the implications of blockchain for trust in supply chains.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Management
Xun Tong, Kevin Linderman, Qinghua Zhu
Summary: This research examines the impact of a firm's environmental project portfolio on its ability to improve environmental outcomes efficiently. The findings suggest that reducing heterogeneity in the types of environmental projects in a firm's portfolio can lead to more efficient environmental improvement. However, introducing diversity in the portfolio without negatively impacting outcomes is also important. The study also highlights the importance of balancing socially oriented projects with technically oriented projects in managing portfolio diversity.
JOURNAL OF OPERATIONS MANAGEMENT
(2023)
Article
Management
Davood Andalib Ardakani, Asieh Soltanmohammadi, Stefan Seuring
Summary: This study examines the influence of institutional pressures on supplier and customer collaboration in achieving green supply chain performance, using empirical evidence from Iranian industrial managers. The findings indicate that regulatory requirements and internal motivators enable customer and supplier collaboration, with customer collaboration having a positive effect on both supplier collaboration and performance, while supplier collaboration only positively affects environmental performance.
BENCHMARKING-AN INTERNATIONAL JOURNAL
(2023)
Review
Engineering, Industrial
Abhijeet Ghadge, Michael Bourlakis, Sachin Kamble, Stefan Seuring
Summary: Research on Blockchain implementation in the Pharmaceutical Supply Chains (PSC) is lacking, but this study provides critical insights into the relationship between Blockchain and PSC, and develops a conceptual framework for implementing Blockchain in the pharmaceutical industry. The study finds that Blockchain's development in PSC is still in its early stages, and further research on adoption drivers, barriers, and applications is needed. The research on Blockchain for PSC has accelerated since the Covid-19 pandemic.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Yuan Chen, Qinghua Zhu, Joseph Sarkis
Summary: This study applies cumulative capability theory to examine the sequence of green supply chain management practices and provides a framework for businesses. The results suggest that encouraging suppliers to disclose environmental data and respond to inquiries should be the initial step, followed by promoting compliance with regulations and responsible recycling.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Business
Sadaf Aman, Stefan Seuring, Raja Usman Khalid
Summary: This study examines the relationship between base of the pyramid (BoP) supply chain management and risk management through a literature review. The findings show that there are various risk factors in BoP supply chains, which require corresponding management strategies and performance measures. The study also highlights the significant impact of performance process measures and management practices on firm's performance outcomes.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Engineering, Industrial
Ali Esfahbodi, Yufeng Zhang, Yang Liu, Duanyang Geng
Summary: This study examines the trade-offs between sustainability and profitability in the adoption of green supply chain management (GSCM) practices, and the moderating effects of green information systems (GIS) on performance improvement. The results suggest that pursuing GSCM can lead to trade-offs, and high levels of GIS positively moderate the relationship between GSCM practices and economic performance. The study contributes to the understanding of the mixed views on GSCM adoption and its economic effects and provides new directions for balancing sustainability and profitability.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Engineering, Industrial
Xiongyong Zhou, Qinghua Zhu, Zhiduan Xu
Summary: Digital traceability is crucial for food producers to ensure food safety. This study found that contractual governance adopted by food producers can promote the success of digital traceability, and the impact of contractual governance is contingent on relational governance.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Review
Management
Abraham Zhang, Linh Duong, Stefan Seuring, Janet L. L. Hartley
Summary: This study aims to clarify the concepts in the field of circular supply chain management (CSCM) and provide a comprehensive review of its development trends. It identifies research gaps and important directions for future research.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2023)
Article
Business
Lara Schilling, Stefan Seuring
Summary: This article analyzes the role of information and communication technology (ICT) in reducing transaction costs and improving supply chain management (SCM) in the agricultural sector. The study finds that ICT enables the base-of-the-pyramid (BoP) market to improve its SCM activities. Three different ICT models are identified, with TC reductions serving as explanations and theoretical foundations. Future research should further evaluate the application of ICTs and validate the proposed framework.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Management
Chen Qian, Paul A. A. Dion, Ralf Wagner, Stefan Seuring
Summary: This paper examines the impact of trust, commitment, and relationship specific investment (RSI) on firms' cooperation, innovation, and financial performance in the Chinese business market. The study collected data from 101 business buyers and 108 suppliers in mainland China. The results show that the effectiveness of these relationship factors differs between buyers and suppliers. Trust and RSI directly affect buyers' cooperation performance, while commitment is the immediate precursor of suppliers' cooperation performance. Trust and commitment lead to buyer's innovation performance directly, while RSI is a direct driver of supplier's innovation performance. These findings provide important insights for relationship management in the Chinese business market.
OPERATIONS MANAGEMENT RESEARCH
(2023)
Article
Economics
Kee-hung Lai, Yunting Feng, Qinghua Zhu
Summary: This study identifies and develops GSCDT practices with support from the literature and case studies of six manufacturers with operational GSCDT in diversified industries to explore the practice adoption enablers of GSCDT and contingency factors for performance improvement through GSCDT for manufacturers. Our research findings contribute to academic knowledge by unraveling critical factors that affect the digital transformation process in GSCM and managerial insights by identifying pathways for the successful adoption of GSCDT practices.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Business
Yuan Chen, Qinghua Zhu, Joseph Sarkis
Summary: This study explores the heterogeneity in green supply chain management (GSCM) practice adoption by considering different firm characteristics using institutional field theory. The results show the existence of four organizational groupings-brown, light brown, light green, and green-firms among 394 firms operating in China. Multinomial logistic regression analysis reveals that larger firms and firms in the electronics industry are more likely to adopt greener practices, indicating the significant role of firm size and industry in discriminating GSCM practice adoption. Interestingly, there are no differences between domestic and foreign-owned firms, suggesting the disappearing gaps in institutional perspectives between Chinese domestic and non-domestic ownership.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Management
Junjun Liu, Yuan Chen, Qinghua Zhu
Summary: This study aims to develop a comprehensive green supplier governance (GSG) concept and investigate the impact of specific GSG approaches on environmental and economic performance. It also reveals the synergistic effect of these approaches on performance improvement.
INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT
(2023)
Article
Engineering, Industrial
Hiroshi Matsuhisa, Nobuo Matsubayashi
Summary: This study investigates the formation of an alliance between competing manufacturers and a monopolistic platform retailer, and analyzes the impact of the degree of differentiation among manufacturers on the formation of the alliance and the profitability of the retailer.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Lingxuan Kong, Ge Zheng, Alexandra Brintrup
Summary: Supply Chain Financing is used to optimize cash flows in supply networks, but recent scandals have shown inefficiencies in risk evaluation. This paper proposes a Federated Learning framework to address order-level risk evaluation.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Jing Gu, Xinyu Shi, Junyao Wang, Xun Xu
Summary: The asymmetric market power between a firm and its partners negatively affects the firm's financial performance. Building relationships with suppliers or customers that have matched market power is the best approach. The strength of the buyer-supplier relationship amplifies the negative impact of asymmetric market power, while the level of relationship embeddedness reduces its negative effect. Moreover, firm-specific institutional, industry, and regional economic heterogeneities also influence the financial impact of asymmetric market power.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yu Du, Jun-qing Li
Summary: This study investigates the group scheduling of a distributed flexible job shop problem using the concrete precast process. The proposed solution utilizes three coordinated double deep Q-networks (DQN) as a learn-to-improve reinforcement learning approach. The algorithm shows superiority in minimizing costs and energy consumption.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Xiaoyu Yan, Weihua Liu, Ou Tang, Jiahe Hou
Summary: This study analyzes the market amplification effect and the impact of entrant's overconfidence on a two-sided platform. The results show that overconfident entrants can lead to price increases and benefit both the existing firms and themselves to a certain extent.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Illya Kaynov, Marijn van Knippenberg, Vlado Menkovski, Albert van Breemen, Willem van Jaarsveld
Summary: The One-Warehouse Multi-Retailer (OWMR) system is a typical distribution and inventory system. Previous research has focused on heuristic reordering and allocation strategies, which are time-consuming and problem-specific. This paper proposes a Deep Reinforcement Learning (DRL) algorithm for OWMR problems, which infers a multi-discrete action distribution and improves performance with a random rationing policy.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yimeng Sun, Ruozhen Qiu, Minghe Sun
Summary: This study considers a multi-period inventory management problem for a retailer offering limited-time discounts and having a joint service-level requirement under demand uncertainty. It proposes a double-layer iterative approach to solve the problem and maximize total profit while balancing the service level using a posteriori method and an affinely adjustable robust chance-constrained model.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Anas Neumann, Adnene Hajji, Monia Rekik, Robert Pellerin
Summary: This paper presents a new mathematical formulation for planning and scheduling activities of Engineer-To-Order (ETO) projects, along with a new ETO strategy to reduce the impacts of design uncertainty. The study proposes a hybrid Layered Genetic Algorithm combined with an adaptive Lamarckian learning process (LLGA) and compares it with the branch-and-cut procedure of CPLEX. The results show good performance of the proposed mathematical model for small and medium-sized instances.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Thilini Ranasinghe, Chanaka D. Senanayake, Eric H. Grosse
Summary: Production systems are undergoing transformative changes, necessitating adaptability from human workers. This study developed an analytical model to account for stochastic processing times and learning heterogeneity, revealing insights into system performance.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Sunil Tiwari, Pankaj Sharma, Ashish Kumar Jha
Summary: Black Swan events such as the COVID-19 pandemic and the Suez Canal blockage have a significant impact on firms' technology adoption decisions, especially in terms of disruptions and digitalization in the supply chains. This study investigates the influence of institutional forces and environmental contingencies on supply chain digitalization from an institutional and contingency theory perspective. The findings emphasize the importance of organizational readiness and people readiness, including top management involvement and employee training, in facilitating digitalization.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Fabio Neves-Moreira, Pedro Amorim
Summary: Omnichannel retailers are using stores as distribution centers to provide faster online order fulfillment services. However, in-store picking operations can impact the offline customer experience. To address this, we propose a Dynamic In-store Picker Routing Problem (diPRP) that minimizes customer encounters while fulfilling online orders. Our solution approach combines mathematical programming and reinforcement learning to find efficient picking policies that reduce customer encounters.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Richard Kraude, Ram Narasimhan
Summary: In this study, the relationship between Vertical Integration (VI) and Environmental Performance (EP) is examined, revealing that highly integrated firms produce less waste but engage in fewer environmental initiatives. These findings are crucial for understanding the impact of stakeholder exposure on organizational behavior.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Review
Engineering, Industrial
Korina Katsaliaki, Sameer Kumar, Vasilis Loulos
Summary: This research conducts a systematic literature review (SLR) and content analysis on Supply Chain Coopetition (SCC) through the PRISMA framework. It examines the theory of coopetition and organizational relationships in intra-firm and inter-firm supply chains, focusing on collaboration between rival manufacturers. The study identifies structures and mechanisms of coopetition, such as buyer-supplier coopetition, supply networks coopetition, and production and distribution/logistics coopetition. It provides a holistic approach to SCC management practices and serves as a guide for future research.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)