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How can artificial intelligence impact sustainability: A systematic literature review

JOURNAL OF CLEANER PRODUCTION (2022)

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Article Computer Science, Information Systems

How Do Users Feel When They Use Artificial Intelligence for Decision Making? A Framework for Assessing Users' Perception

Amit Kumar Kushwaha et al.

Summary: This study examines how text-based users' data from social media contributes to users' perspectives of decision-making systems, particularly focusing on the concerns and factors influencing perception. The findings suggest that users are primarily concerned about the risks involved in using decision-making systems, and factors such as accountability, self-efficacy, and knowledge impact individuals' perception of these systems.

INFORMATION SYSTEMS FRONTIERS (2023)

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Article Environmental Sciences

A novel machine-learning approach for evaluating rebounds-associated environmental footprint of households and application to cooperative housing

Rhythima Shinde et al.

Summary: A supervised machine-learning model is developed to quantify consumption rebound effects, allowing for estimation of income-related rebounds at the household level. By considering socio-economic properties of households, the method helps detect dependent consumption expenses and can be used for understanding rebounds and developing targeted measures.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2022)

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Article Computer Science, Information Systems

An Adaptive Fuzzy Multi-Criteria Model for Sustainability Assessment of Sugarcane Agroindustry Supply Chain

Mohamad Yani et al.

Summary: This study designs an adaptive fuzzy multi-criteria sustainability assessment and improvement model for the sugarcane agroindustry supply chain. The model is effective in evaluating supply chain sustainability and provides accurate results. Strategies for improving sustainability performance are also proposed.

IEEE ACCESS (2022)

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Article Business

Artificial intelligence: Catalyst or barrier on the path to sustainability?

Alexander Kopka et al.

Summary: Artificial intelligence (AI) is seen as a key technology for future economic growth, but its concrete socio-economic effects have not been thoroughly researched. This paper focuses on the impact of AI on regional energy systems and finds that its effect on energy consumption depends on regional circumstances, technological factors, and industrial portfolios.

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2022)

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Article Engineering, Manufacturing

Dynamic Pricing and Information Disclosure for Fresh Produce: An Artificial Intelligence Approach

Cenying Yang et al.

Summary: This study combines dynamic pricing and information disclosure to help retailers effectively sell fresh produce, increase profits, and reduce food waste. Quality-based pricing strategy can lower prices and drive demand, while information disclosure helps align customers' biased perceptions on food quality with the actual levels.

PRODUCTION AND OPERATIONS MANAGEMENT (2022)

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Article Information Science & Library Science

Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action

Yogesh K. Dwivedi et al.

Summary: The UN COP26 2021 conference on climate change provides an opportunity for world leaders to take action and make urgent commitments to reduce emissions and limit global temperatures. Digital and IS technology play a role in monitoring potential solutions and are integral to addressing climate change. Technology is recognized as both a crucial part of the solution and a part of the problem.

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2022)

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Article Management

Digital technologies as enablers of supply chain sustainability in an emerging economy

Mohammadreza Akbari et al.

Summary: Vietnam has significant potential to become a global manufacturing center by embracing Industry 4.0 digital technologies, which can drive supply chain sustainability and reduce waste production and energy consumption.

OPERATIONS MANAGEMENT RESEARCH (2022)

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Article Computer Science, Artificial Intelligence

Customer models for artificial intelligence-based decision support in fashion online retail supply chains

Artur M. Pereira et al.

Summary: Fashion industry is a global, multi-trillion dollar industry that faces social and environmental sustainability challenges and digital transformation. Decision support systems are in high demand in the fashion retail sector, and the combination of customer models with recommender systems can provide personalized product recommendations. However, research on enhancing customer models is currently limited.

DECISION SUPPORT SYSTEMS (2022)

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Review Business

Impact assessment of social media usage in B2B marketing: A review of the literature and a way forward

Nishant Kumar Tiwary et al.

Summary: Social media has great potential in B2B transactions, but many companies have not fully utilized it. B2B firms face limitations in leveraging social media compared to B2C firms. However, social media can assist B2B marketers in establishing brand presence and trust globally.

JOURNAL OF BUSINESS RESEARCH (2021)

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Article Engineering, Industrial

A blockchain-based evaluation approach for customer delivery satisfaction in sustainable urban logistics

Zonggui Tian et al.

Summary: Urbanisation and changing consumer demands pose challenges to improve customer satisfaction in urban logistics. Current satisfaction evaluations are time-consuming and lack transparency. A blockchain-based approach with machine learning is proposed to predict satisfaction and enhance transparency in the industry.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)

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Article Engineering, Industrial

A supervised machine learning approach for the optimisation of the assembly line feeding mode selection

Francesco Zangaro et al.

Summary: This study utilizes the CART algorithm to develop a decision tree for solving the Line Feeding Problem, achieving an average classification accuracy of 78.49%. After implementation, potentially infeasible solutions may arise, but a repair approach is developed to address this issue with an average cost deviation of 0.38% from the optimal solution.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)

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Review Engineering, Industrial

Artificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: a review

Chandan K. Sahu et al.

Summary: Augmented reality (AR) is valuable in manufacturing for tasks like assembly and maintenance, but current strategies rely on traditional non-AI methods. The incorporation of AI strategies like deep learning can greatly enhance classical AR methods. Future research should focus on exploring AI strategies for improving AR systems in broader scene variations.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)

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Review Green & Sustainable Science & Technology

Artificial intelligence in nuclear industry: Chimera or solution?

Siddharth Suman

Summary: The nuclear industry is in crisis, with innovation being the key to its survival. Recent advancements in artificial intelligence have potential applications in the nuclear power industry. Collaborative research based on the same dataset could be crucial in improving accuracy despite current disagreements on the best AI techniques.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Green & Sustainable Science & Technology

Planetary demands: Redefining sustainable development and sustainable entrepreneurship

Harry Hummels et al.

Summary: In 1987, the WECD provided a definition of sustainable development, but its nuanced approach threatens the Earth system's boundaries. Governments and enterprises fail to respect these boundaries, compromising the needs of future generations. A revised definition of sustainable development is needed to promote economic growth while complying with planetary boundaries.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Thermodynamics

A hybrid adaptive neuro-fuzzy inference system integrated with equilibrium optimizer algorithm for predicting the energetic performance of solar dish collector

Mohamed E. Zayed et al.

Summary: This study proposes an improved method combining ANFIS with EO for predicting the thermal performance parameters of SPDC, showing the best prediction accuracy among the three models and can be regarded as a powerful optimization tool for predicting the energetic performance of SPDC. The predicted results obtained by the ANFIS-EO have an excellent determination coefficient of 0.99999 for all predicted responses.

ENERGY (2021)

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Article Thermodynamics

Integration of solar energy by nature-inspired optimization in the context of circular economy

Ivan Stevovic et al.

Summary: This research focuses on the integration of solar power plants in an electric power system, considering circular economy criteria. Nature-inspired optimization and evolutionary multiobjective genetic algorithm are used to analyze and optimize four scenarios of solar power plant installation. The study aims to maximize electricity production, minimize total costs, and reduce greenhouse gas emissions by introducing solar capacities, which proves effective in lowering costs and emissions.

ENERGY (2021)

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Article Engineering, Civil

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Sampo Kuutti et al.

Summary: Deep learning methods have shown great promise in providing excellent performance for complex and non-linear control problems, as well as generalising previously learned rules to new scenarios. While there have been important advancements in using deep learning for vehicle control, there are still challenges to overcome, such as computation, architecture selection, goal specification, generalisation, verification and validation, as well as safety.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

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Article Green & Sustainable Science & Technology

Artificial intelligence-enabled environmental sustainability of products: Marketing benefits and their variation by consumer, location, and product types

Bjorn Frank

Summary: Firms are developing AI-enhanced products that can autonomously interact with the environment to tackle environmental problems, but the literature lacks knowledge on how to utilize these benefits to attract new customers. This study finds that both static and autonomous perceived environmental benefits positively influence purchase intent and that the effects vary across gender, target audience, cognitive needs, and environmental well-being.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Construction & Building Technology

Measuring and benchmarking the productivity of excavators in infrastructure projects: A deep neural network approach

Mohamad Kassem et al.

Summary: This paper developed and tested a Deep Neural Network (DNN) model for estimating excavator productivity, achieving an accuracy of 0.87 and 69.64% in terms of R2 and WAPE. Results showed better precision on high excavation volume days compared to low volume days. The proposed approach is more accurate in highly mechanised environments and a bottom-up benchmark measure for excavation rate was also discussed.

AUTOMATION IN CONSTRUCTION (2021)

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Review Green & Sustainable Science & Technology

Component design optimisation based on artificial intelligence in support of additive manufacturing repair and restoration: Current status and future outlook for remanufacturing

Nurhasyimah Abd Aziz et al.

Summary: The paper discusses the importance of design optimization and artificial intelligence in repair and restoration for remanufacturing, emphasizing the efficiency and lifespan of components. It highlights the increasing interest in using additive manufacturing technology, while pointing out the limited reports on the application of AI for design optimization specific to repair and restoration. The conclusion suggests further research and a future outlook on AI-based optimization for component design in order to facilitate repair and restoration using additive manufacturing and automation.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Business

What impacts customer experience for B2B enterprises on using AI-enabled chatbots? Insights from Big data analytics

Amit Kumar Kushwaha et al.

Summary: This study investigates the influencing factors of AI-based chatbots in B2B firms from the perspective of CX theories, proposing an organizational model for CX using various theories. The research utilizes social media data for validation, revealing that CX in B2B enterprises using chatbots is influenced by overall system design, customers' ability to use technology, and customer trust towards the brand and system.

INDUSTRIAL MARKETING MANAGEMENT (2021)

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Article Engineering, Civil

A Hierarchical Blockchain-Enabled Federated Learning Algorithm for Knowledge Sharing in Internet of Vehicles

Haoye Chai et al.

Summary: This paper proposes a hierarchical blockchain framework and a hierarchical federated learning algorithm for knowledge sharing among vehicles, ensuring the security and privacy of knowledge while improving sharing efficiency and learning quality.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

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Article Business

TRANSACTION COST THEORY: PAST PROGRESS, CURRENT CHALLENGES, AND SUGGESTIONS FOR THE FUTURE

Ilya R. P. Cuypers et al.

Summary: The essay discusses a path towards a pluralistic view of Transaction Cost Theory (TCT) by incorporating insights from various fields, primarily strategy and international business, and critically evaluating the assumptions, key constructs, and evolving theoretical logic of TCT. The proposed future research agenda includes expanding and deepening the exchange of insights between strategy and international business, integrating TCT with trust literature, behavioral economics, and psychology, and further applying TCT to study recent phenomena such as platforms, two-sided markets, and artificial intelligence implications for governance decisions.

ACADEMY OF MANAGEMENT ANNALS (2021)

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Article Business

AI-enabled business-model innovation and transformation in industrial ecosystems: A framework, model and outline for further research

Thommie Burstrom et al.

Summary: This paper investigates how four large global manufacturing incumbents utilize AI to achieve business model innovation, emphasizing alignment with ecosystem in AI business model innovation. Short-term strategies may involve ecosystem reconfiguration, while long-term strategies are related to ecosystem revitalization and resilience.

JOURNAL OF BUSINESS RESEARCH (2021)

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Review Business

Artificial intelligence in supply chain management: A systematic literature review

Reza Toorajipour et al.

Summary: This study aims to identify the contributions of AI to SCM through a systematic review of existing literature, highlighting both current and potential AI techniques in SCM, as well as identifying gaps that need to be addressed through further scientific research. Insights provided through systematic analysis and synthesis offer a comprehensive understanding of the impact of AI on SCM.

JOURNAL OF BUSINESS RESEARCH (2021)

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Article Management

Iot in supply chain management: a narrative on retail sector sustainability

Tharaka de Vass et al.

Summary: The Internet of Things (IoT) is a global platform of Internet-connected smart devices that enhances the supply chain infrastructure, improving integration within organizations and with suppliers and customers. Through a study on the impact of IoT on supply chain integration and performance in the Australian retail industry, it was found that IoT provides additional capabilities in data capture, visibility, intelligence, and information sharing, leading to improved supply chain performance in cost, quality, delivery, and flexibility dimensions, thus enhancing firm financial, social, and environmental sustainability.

INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS (2021)

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Review Engineering, Industrial

Blockchain applications in supply chains, transport and logistics: a systematic review of the literature

Mehrdokht Pournader et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020)

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Article Green & Sustainable Science & Technology

A playwriting technique to engage on a shared reflective enquiry about the social sustainability of robotization and artificial intelligence

Marco Casazza et al.

JOURNAL OF CLEANER PRODUCTION (2020)

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Review Multidisciplinary Sciences

The role of artificial intelligence in achieving the Sustainable Development Goals

Ricardo Vinuesa et al.

NATURE COMMUNICATIONS (2020)

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Article Engineering, Electrical & Electronic

Federated Learning: Challenges, Methods, and Future Directions

Tian Li et al.

IEEE SIGNAL PROCESSING MAGAZINE (2020)

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Article Green & Sustainable Science & Technology

Sustainability assessment and modeling based on supervised machine learning techniques: The case for food consumption

Galal M. Abdella et al.

JOURNAL OF CLEANER PRODUCTION (2020)

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Article Green & Sustainable Science & Technology

=cmarkid_∧{11502}}Designing sustainable concrete mixture by developing a new machine learning technique

Hamed Naseri et al.

JOURNAL OF CLEANER PRODUCTION (2020)

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Article Environmental Sciences

Assessing the biophysical and social drivers of burned area distribution at the local scale

Sandra Oliveira et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2020)

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Article Computer Science, Artificial Intelligence

Metaheuristics for solving the vehicle routing problem with the time windows and energy consumption in cold chain logistics

Mei-xian Song et al.

APPLIED SOFT COMPUTING (2020)

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Article Environmental Sciences

A two-stage clustering approach to investigate lifestyle carbon footprints in two Australian cities

Andreas Froemelt et al.

ENVIRONMENTAL RESEARCH LETTERS (2020)

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Article Green & Sustainable Science & Technology

Artificial intelligence-enabled context-aware air quality prediction for smart cities

Daniel Schurholz et al.

JOURNAL OF CLEANER PRODUCTION (2020)

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Addressing the train-test gap on traffic classification combined subflow model with ensemble learning

Changyu Wang et al.

KNOWLEDGE-BASED SYSTEMS (2020)

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Review Business

Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review

Assunta Di Vaio et al.

JOURNAL OF BUSINESS RESEARCH (2020)

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Article Business

Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process

Gianluca Elia et al.

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2020)

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Review Hospitality, Leisure, Sport & Tourism

Entrepreneurship in island contexts: A systematic review of the tourism and hospitality literature

Paul Booth et al.

INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT (2020)

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Article Information Science & Library Science

Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda

Rohit Nishant et al.

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2020)

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Article Business

Artificial intelligence and big data in entrepreneurship: a new era has begun

Martin Obschonka et al.

SMALL BUSINESS ECONOMICS (2020)

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Article Engineering, Electrical & Electronic

Enhanced Device-Free Human Detection: Efficient Learning From Phase and Amplitude of Channel State Information

Shih-Hau Fang et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)

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Article Engineering, Industrial

Human-robot collaboration in disassembly for sustainable manufacturing

Quan Liu et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

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Article Green & Sustainable Science & Technology

Sustainable transportation management: Integrated modeling and support

Yangyan Shi et al.

JOURNAL OF CLEANER PRODUCTION (2019)

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Article Transportation Science & Technology

Deep reinforcement learning enabled self-learning control for energy efficient driving

Xuewei Qi et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

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Review Green & Sustainable Science & Technology

Decision support systems for sustainable manufacturing surrounding the product and production life cycle - A literature review

Maximilian Zarte et al.

JOURNAL OF CLEANER PRODUCTION (2019)

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Article Environmental Sciences

Fire and burn severity assessment: Calibration of Relative Differenced Normalized Burn Ratio (RdNBR) with field data

Adrian Cardil et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2019)

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Environmental Regulation Intensity, Foreign Direct Investment, and Green Technology SpilloverAn Empirical Study

Jiangfeng Hu et al.

SUSTAINABILITY (2019)

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Moving beyond Smart Cities: Digital Nations for Social Innovation & Sustainability

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INFORMATION SYSTEMS FRONTIERS (2019)

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Toward an Efficient and Sustainable Use of Energy in Industries and Cities

Francesco Calise et al.

ENERGIES (2019)

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Decision support for collaboration planning in sustainable supply chains

Hamid Allaoui et al.

JOURNAL OF CLEANER PRODUCTION (2019)

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Article Engineering, Civil

A Survey on 3D Object Detection Methods for Autonomous Driving Applications

Eduardo Arnold et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)

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Monitoring production time and cost performance by combining earned value analysis and adaptive fuzzy control

Bahareh Zohoori et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2019)

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A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data

Jie Bao et al.

ACCIDENT ANALYSIS AND PREVENTION (2019)

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Article Green & Sustainable Science & Technology

Growth, degrowth, and the challenge of artificial superintelligence

Salvador Pueyo

JOURNAL OF CLEANER PRODUCTION (2018)

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Review Engineering, Industrial

Supply chain finance: A systematic literature review and bibliometric analysis

Xinhan Xu et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2018)

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Tapping into the wearable device revolution in the work environment: a systematic review

Jayden Khakurel et al.

INFORMATION TECHNOLOGY & PEOPLE (2018)

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The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment

Daron Acemoglu et al.

AMERICAN ECONOMIC REVIEW (2018)

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Robust supply chain networks design and ambiguous risk preferences

Guodong Yu et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2017)

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A huge number of artificial waste material can be supplementary cementitious material (SCM) for concrete production - a review part II

Evi S. Aprianti

JOURNAL OF CLEANER PRODUCTION (2017)

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A state-of-art literature review reflecting 15 years of focus on sustainable supply chain management

Zulfiquar N. Ansari et al.

JOURNAL OF CLEANER PRODUCTION (2017)

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Artificial intelligence in healthcare: past, present and future

Fei Jiang et al.

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A data-driven predictive model of city-scale energy use in buildings

Constantine E. Kontokosta et al.

APPLIED ENERGY (2017)

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SmartSite: Intelligent and autonomous environments, machinery, and processes to realize smart road construction projects

Robin Kuenzel et al.

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Classification and Clustering Methods for Multiple Environmental Factors in Gene-Environment Interaction Application to the Multi-Ethnic Study of Atherosclerosis

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Bio inspired computing - A review of algorithms and scope of applications

Arpan Kumar Kar

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AMAL: High-fidelity, behavior-based automated malware analysis and classification

Aziz Mohaisen et al.

COMPUTERS & SECURITY (2015)

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Energy conservation in manufacturing operations: modelling the milling process by a new complexity-based evolutionary approach

A. Garg et al.

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Article Green & Sustainable Science & Technology

A decision support framework considering sustainability for the selection of thermal food processes

Thi-Thu-Huyen Do et al.

JOURNAL OF CLEANER PRODUCTION (2014)

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Classification of EU countries' progress towards sustainable development based on ordinal regression techniques

M. Perez-Ortiz et al.

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A framework for an intelligent decision support system: A case in pathology test ordering

Zoe Y. Zhuang et al.

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Monitoring of wind farms' power curves using machine learning techniques

Antonino Marvuglia et al.

APPLIED ENERGY (2012)

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Article Engineering, Industrial

Sustainable benchmarking of supply chains: the case of the food industry

Natalia Yakovleva et al.

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A Bayesian network based framework for real-time crash prediction on the basic freeway segments of urban expressways

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A multi-objective optimization for green supply chain network design

Fan Wang et al.

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Analyzing angle crashes at unsignalized intersections using machine learning techniques

Mohamed Abdel-Aty et al.

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A computational model for developing semantic web-based educational systems

Ig Lbert Bittencourt et al.

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Solutions applicable by local administrations for urban logistics improvement

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Movement of people across the landscape: a blurring of distinctions between areas, interests, and issues affecting natural resource management

JF Dwyer et al.

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The enabling role of decision support systems in organizational learning

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EnergyPlus: creating a new-generation building energy simulation program

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