Article
Business
George Onofrei, Hung Nguyen, Ying Yang, Raffaele Filieri
Summary: This article examines the impact of entrepreneurial orientation on the triple bottom line through the conduit role of supply chain learning. Findings from 526 firms across nine countries show that entrepreneurial orientation enhances the supply chain learning process and impacts environmental and business performance, while having no effect on social performance. Supply chain learning acts as a mediator in the relationship between entrepreneurial orientation and the triple bottom line.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Engineering, Industrial
P. K. Senyo, Ellis L. C. Osabutey
Summary: This study reviews 64 articles through the lens of the triple bottom line theory, develops a framework for sustainable multi-tier supply chains, and provides direction for future research.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Alessandra Neri, Enrico Cagno, Marco Lepri, Andrea Trianni
Summary: This study proposes a novel set of KPIs based on a Balanced Scorecard - Supply Chain Operations Reference framework, ensuring balanced coverage of sustainability pillars, addressing different decision-making levels and financial bases, and simultaneously tackling the sustainability performance of an entire supply chain.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Business, Finance
Sandeep Singh, Samir K. Srivastava
Summary: The paper identifies key enablers for TBL sustainability in the agriculture supply chain, analyzing their causal relationships and interactions. A decision support framework is developed and validated through a case study. Social enablers enhance the effects of economic and environmental enablers, contributing to sustainable practices in the agriculture sector.
SUSTAINABILITY ACCOUNTING MANAGEMENT AND POLICY JOURNAL
(2022)
Review
Green & Sustainable Science & Technology
Vincenzo Varriale, Antonello Cammarano, Francesca Michelino, Mauro Caputo
Summary: This article investigates the relationship between digital technologies and sustainable practices in supply chain management (SCM). Through a systematic literature review, 11 technologies were considered and analyzed to identify their favorability in promoting sustainable emerging practices. By utilizing four indices to measure sustainability, the study provides a comprehensive overview of the use of digital technologies in SCM. This research is valuable for academics and practitioners as it enhances understanding, highlights research gaps, and identifies implementation opportunities.
Review
Green & Sustainable Science & Technology
Hendrik Birkel, Julian M. Muller
Summary: This study provides a comprehensive overview of the relationship between Industry 4.0 and supply chain management in the context of the triple bottom line. It highlights research gaps and implications for managerial practice, as well as identifies areas that require further understanding, such as the role of small and medium-sized enterprises in Industry 4.0 and information sharing across the supply chain.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Blanka Tundys, Tomasz Wisniewski
Summary: The purpose of this paper is to investigate the use of sustainability elements in the context of triple bottom line (TBL) to build sustainable supply chain resilience. The paper contributes to the literature by utilizing structural equation modelling to relate TBL context to the building of sustainable supply chain resilience. The research findings highlight the significance of individual sustainability factors in the context of supply chain resilience.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Computer Science, Cybernetics
Peng Ma, Yujia Lu
Summary: This study examines the operational decisions of low-carbon supply chains with the triple bottom line under the carbon tax policy using the Stackelberg game theory. The main findings include the optimal prices, sales quantities, and carbon emissions in different cases, as well as the impact of the carbon tax policy.
Article
Engineering, Mechanical
Marco Bellini, Sara Bianchi, Federica Zaccheria, Nicoletta Ravasio
Summary: This paper presents an innovative technological and preventive approach of substituting base fluids with natural vegetable oil based esters in metal working fluids, reducing air pollution significantly. Additionally, an innovative selective hydrogenation process is introduced to enhance the oxidative stability of rapeseed oil, resulting in increased stability while maintaining acceptable cold properties compared to High Oleic Sunflower Oil.
TRIBOLOGY INTERNATIONAL
(2021)
Review
Agriculture, Multidisciplinary
Dun-chun He, Jeremy J. Burdon, Lian-hui Xie, Jiasui Zhan
Summary: Plant disease management is crucial for achieving goals such as food security, economic development, resource conservation, and ecological restoration. Comprehensive evaluation of economic, sociological, and ecological effects is needed to guide sustainable disease management, along with an emphasis on technology development and information exchange.
JOURNAL OF INTEGRATIVE AGRICULTURE
(2021)
Article
Green & Sustainable Science & Technology
Bart J. A. van Bueren, Mark A. A. M. Leenders, Usha Iyer-Raniga, Kevin Argus
Summary: Eco-champions in eco-communities provide valuable lessons for solving the triple-bottom-line challenge. Through their lifestyle, they have successfully addressed TBL issues that mainstream society struggles with. The study recommends establishing eco-innovation networks in mainstream societies to promote sustainable transitions.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Studies
Lijun Liu, Jingjie Chu, James L. Anderson, Jintao Xu
Summary: This paper compares nine Chinese fisheries with the top 10% performing fisheries globally using Fishery Performance Indicators (FPIs). The results reveal significant differences in ecological sustainability, harvest sector performance, and economic performance between Chinese fisheries and top performing fisheries, with smaller gaps in community sustainability and post-harvest performance. Zhejiang province shows signs of better fishery management with higher scores in ecological, economic, and social dimensions.
Article
Green & Sustainable Science & Technology
Insung Son, Sihyun Kim
Summary: Supply chain management plays a vital role in international work distribution, and competition in the global market has shifted to SCM-to-SCM competition. Apple and Samsung, as major global ICT companies, have adopted different SCM strategies. The study finds that Apple suppliers have a slightly higher debt ratio compared to US companies, while primary suppliers of Samsung have a lower debt ratio than secondary suppliers.
Article
Green & Sustainable Science & Technology
Fathi Alarabi Yosef, Luay Jum'a, Muntasir Alatoom
Summary: Recent research has focused on sustainable supply chain management (SSCM) in the manufacturing sector, particularly within the cement industry. This study aims to identify and categorize SSCM practices based on sustainability dimensions and assess their implementation in Jordanian cement manufacturers. By developing a tailored model of SSCM practices, the study provides insights for decision-makers and academics to evaluate and enhance sustainability practices in the industry. The findings reveal a moderate level of implementation for SSCM practices, with environmental factors at a medium level, social factors at a high level, and economic factors at a medium level. These results highlight the importance of sustainable practices and suggest areas for improvement.
Article
Green & Sustainable Science & Technology
Abhishek Sahu, Saurabh Agrawal, Girish Kumar
Summary: This study proposes a value engineering methodology that integrates circular economy concepts to achieve sustainable product development objectives. The results show that the proposed methodology significantly reduces product development costs and improves productivity, while also reducing power consumption, CO2 emissions, and water consumption. These findings have the potential to improve the social, economic, and environmental performance of organizations.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Computer Science, Artificial Intelligence
James A. Rodger
Article
Computer Science, Artificial Intelligence
Parag C. Pendharkar, James A. Rodger
Article
Computer Science, Artificial Intelligence
James A. Rodger
EXPERT SYSTEMS WITH APPLICATIONS
(2013)
Article
Computer Science, Artificial Intelligence
James A. Rodger
EXPERT SYSTEMS WITH APPLICATIONS
(2014)
Article
Computer Science, Artificial Intelligence
James A. Rodger
EXPERT SYSTEMS WITH APPLICATIONS
(2014)
Article
Automation & Control Systems
James A. Rodger, Pankaj Pankaj, Stephen P. Gonzalez
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2014)
Article
Computer Science, Information Systems
James A. Rodger, Stephen P. Gonzalez
JOURNAL OF COMPUTER INFORMATION SYSTEMS
(2014)
Article
Physics, Multidisciplinary
James A. Rodger
Article
Computer Science, Artificial Intelligence
James A. Rodger
EXPERT SYSTEMS WITH APPLICATIONS
(2020)
Article
Computer Science, Artificial Intelligence
Justin Piper, James A. Rodger
Summary: This study employs word sense disambiguation to examine voter intentions in the 2016 Presidential election. Using a developed website, the authors analyze candidates' assets and competencies in eligibility, education, and experience. Data envelope analysis is used to determine underlying word instances for elected and successful outcomes. The findings also extend to potential election fraud detection in the 2020 Presidential election using Benford's Law, shedding new light on word sense disambiguation literature.
INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Ahmad Al-Marsy, Pankaj Chaudhary, James Allen Rodger
Summary: The adoption of cloud computing in Health Information Systems (HIS) requires consideration of financial performance, IT operational excellence, and security challenges, with a proposed model for executive management to make informed decisions.
APPLIED SYSTEM INNOVATION
(2021)
Article
Information Science & Library Science
Ganesh D. Bhatt, Ziping Wang, James A. Rodger
INFORMATION RESOURCES MANAGEMENT JOURNAL
(2017)
Article
Engineering, Electrical & Electronic
James A. Rodger
IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION
(2017)
Article
Psychology, Multidisciplinary
James A. Rodger
COMPUTERS IN HUMAN BEHAVIOR
(2014)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)