Institute of Innovation and Circular Economy
The innovation initiative bridges the gap between research and the market. It helps good ideas for innovative products, services and processes that protect the environment become full-fledged commercial prospects, ready for use by business and industry. The innovation is about reducing our environmental impact and making better use of resources. This means developing products, techniques, services and processes that reduce CO2 emissions, use resources efficiently, and promote recycling and so on. There are five main strands of this initiative:
- Materials recycling and recycling processes
- Sustainable building products
- Food and drink sector
- Water efficiency, treatment and distribution
- Greening business.
※※In economic activities, both the resources used and the environmental impact must be decoupled from the economy, thus contributing to the socio-economic growth and human well-being.
At the company level, a growing number of businesses have demonstrated profit opportunities identified along the value chain through implementing innovation. It has helped them to achieve a significant advantage over their competitors and to generate business growth while others in the respective markets have remained stagnant. The potential of small and medium sized enterprises to bring about system-wide change is particularly high as they are the most numerous type of companies and contributing to two thirds of formal employment in developing and emerging economies. Their impact on both the environment and society is significant, while their small size enables more agile decision-making and more flexibility for eco-innovative changes compared to larger companies.
At the government level, many have realized the win-win opportunities for innovation to significantly enhance competitiveness and economic development. More widespread implementation of innovation in companies and especially small and medium sized enterprises pushed and pulled by effective combinations of policies can contribute to the alleviation of resource constraints and environmental degradation, improvement of social welfare and local community engagement, job creation and attracting financial resources.
The process of innovation also enhances in country knowledge and skills, while increasing productive capacity and competitiveness of the economy. As an example, a combination of regulatory framework and economic incentives has spurred investment and innovations which paved the way for the emergence of new markets for innovative solutions. Innovation in the areas of renewable energy generation, energy and material efficiency, sustainable water management and mobility.
Innovation also holds multiple benefits for society at large by reducing health risks from environmental degradation from the decrease in the use of hazardous and toxic chemicals. At the same time, it can improve income through job creation and from generating new sources of value for productive growth. These can be jobs, generated by emerging industries for sustainable products and services as well as in supplier companies following the higher demand for inputs to these emerging industries. Innovative solutions also bring crucial social benefits such as improved access to energy, water and sanitation which is particularly relevant for developing countries to meet basic needs.
Innovation, therefore, actively contributes to decoupling economic growth from resource consumption and helps achieve the Sustainable Development Goals. This can be only achieved in an integrated way and with concerted efforts of all stakeholders with the active role of the private sector. Innovation applied by businesses with solutions scaled through their value chains has the potential to reduce resource consumption and stabilize the resource supply and prices for longer term prospects of productive growth, which is important for human development. Thus, the promotion of innovation can be an important policy objective within the overall development framework of a country.
The conventional understanding of economic activity is based on a linear model. Natural resources are extracted and transformed into products; the products are bought and used by consumers who, as soon as the products no longer fulfill their needs, throw them away. However, this model ignores the high economic, environmental and social costs related to the extraction, transformation and disposal of resources, and is therefore unsustainable in the long term. A CE offers an alternative model where the value of products, materials and resources is maintained for as long as possible and waste is significantly reduced or even eliminated. Keep resources in use for as long as possible, extract the maximum value from them whilst in use, then recover and regenerate products and materials at the end of each service life. Focused on “closing the loops”, a CE is a practical solution for living within our planetary boundaries. The transition towards a CE affects different policy areas, ranging from mobility, agriculture, land use and waste management, to business development and consumer education, concerning actors across all sectors and levels of governance. A CE is not something that any single institution or company can do alone. By its very nature, CE fosters connections across individual stakeholders and sectors. However, a transition to a CE is both a necessity and an opportunity, with the potential to offer long-lasting economic, environmental and social benefits. CE highlights that the majority focus on four essential build blocks.
- Circular Product Design (Focus Area-New Design)
- New Business Model (Production Remanufacturing)
- Reverse Cycles and Cascades (Consumption – Use, Reuse, Repair)
- System Conditions (Waste Management)
When it comes to the product design stage, local and regional authorities can lead by example in purchasing products and solutions that are resource-efficient and durable, can be easily repaired or upgraded and finally recycled or reused. This encourages the market to develop such solutions and makes them not only more accessible, but also more affordable for other actors. The following are three features of the new design phase: material selection (Design for easier disassembly/Design flexible), modularization (Design to last), and standardization (Production process efficiencies to minimize waste).
Taking the lifecycle perspective. The waste builds capital rather than reduce it. Moving from a linear (Take-Make-Dispose) to a more CE (Make-Use-Return) calls for new business models, new modes of consumer behavior and new solutions for turning waste into resources. Looking further at the production stage, cities and regions can work with other stakeholders to promote sustainable sourcing of raw materials and different modes of resource circulation, such as industrial symbiosis, chemical leasing or remanufacturing.
Cost efficient, better quality collection, treatment system with effective segmentation of end-of-life products will be crucial to enable economically attractive circular designs. Building up the capabilities and infrastructure to close the loops is critical. Local and regional authorities are also well positioned to actively influence consumption patterns of households, businesses and organizations. This might include education and awareness campaigns, promoting the sharing economy approaches, as well as encouraging reuse and repair. There are three success factors for collection systems (1) Be user-friendly (2) Be located in areas accessible to customers and end-of-life specialists (3) Be capable of maintaining the quality of materials reclaimed.
Effective cross-chain and cross sector collaboration are imperative for the large-scale establishment of a circular system. Market mechanisms will have to play a dominant role, but they will benefit from support by policy makers, educational institutions and popular opinion leaders. The waste collection and recycling are two of the responsibilities most often associated with the municipal level. Improved waste collection can be a first step towards a CE, but many cities and regions are also looking into extended producer responsibility or high-quality recycling and biological treatment of waste (e.g. bio-refining, composting or anaerobic digestion). Furthermore, system optimization that the main focus on the following factors of development and reinforce cross-value chain collaboration (1) Cross-value chain business models (2) Visibility of material flow (3) Industry standards and match- maker mechanisms.
Innovation is critical for new business model, not just technology. There is no one-size-fits-all solution for product design, and that existing frameworks for eco-design and green public procurement could improve material efficiency through requirements on reparability, durability and recyclability. When it comes to secondary use of raw materials, digital technology could provide online information about recyclable materials in products, keep track of stocks and flows, improve traceability and facilitate more transparent extended producer responsibility schemes. Looking at the consumption phase, existing instruments such as eco-design and the EU eco-label and Energy Label, could address the durability and reparability. Innovation could improve access to spare parts, as well as repair services, information and manuals – and improved information on lifespan of products. Innovation could also help design for greater durability, recyclability of materials and constituent chemicals, and promote traceability of virgin and recycled materials.
CE and the role of innovation ranged far wider than simply reducing waste and increasing recycling, often touching on the role of innovation in closing the loop earlier in product lifecycles through eco-design, and in pioneering and incentivizing new business models that use resources more effectively.
The CE refers to an industrial economy that is, by design or intention, restorative and which focuses on cradle-to-cradle principles and materials sustainability. Resources are used to enable high-quality design without contaminating the biosphere. The CE will benefit all business, especially small and medium-sized enterprises, and identified the use of incentives to stimulate the necessary innovation, from green public procurement to completing the single market. In particular, commercial opportunities may be found in providing services rather than manufacturing products.
The CE focusses on efficient and sustainable resource use by individuals, companies, and governments. The future is providing services to our citizens in a long-term process and products that are used and re-used time and time again, so that people reduce the use of raw materials and don’t deplete the earth’s natural resources.
There have the following of six ways to address waste and improve incentives: regenerate (repair), share (reuse), optimize (to find efficiency gains), loop (recycles), virtualize (use software on generic machines rather than manufacturing specialized machines) and exchange (replace traditional materials with recoverable, renewable or bio-based ones).
2018 - Now
|1||Aviso, K. B., Chiu, A.S. F., Demeterio III, F.P. A., Lucas, R.G; Tseng, ML., Tan, R.R. (2019). Optimal Human Resource Planning with P-graph for Universities Undergoing Transition. Journal of Cleaner Production 224, 811-822(2016: SCI, IF:5.6)|
|2||Hu, J., Lim, MK., Tan, K., Tseng, ML. (2018). Big data application in sustainable supply chain: a transportation industry case. HANDBOOK Sustainable supply Chain Edited by Joseph Sarkis|
|3||Islam, Md S., Tseng, ML.*, Karia, N. (2019). Assessment of corporate culture in sustainability performance using a hierarchical framework and interdependence relations. Journal of Cleaner Production (2016: SCI, IF:5.6) 201805220903 Submitted|
|4||Kuo, TC., Chiu, M.C., Hsu, C.W., Tseng, M.L. (2019). Supporting sustainable product service systems: A product selling and leasing design model. Resources, Conservation and Recycling 146, 384-394 (SCI, IF: 5.12)|
|5||Kuo, TC., Lin, SH., Tseng, ML., Chiu, ASF., Hsu, CW. (2019). Biofuels for vehicle in Taiwan: using system dynamics modeling to evaluate government subsidy policies of rice straw. Resources, Conservation and Recycling 145, 31-39 (SCI, IF: 5.12)|
|6||Li, L., Liu, ZF., Tseng, ML. Enhancing the lithium-ion battery life predictability using a hybrid method. Applied Soft Computing 74, 110-121 (2015: SCI, IF:3.95)|
|7||Li, L., Sun, J., Wu, K.J., Tseng, ML.*, Li,Chi-Kang(2017). Assessing electric vehicle inverter to reduce energy consumption: using insulated gate bipolar transistor module to prevent the power loss and junction temperature. Journal of Cleaner Production 224, 60-71 (2016: SCI, IF:5.6)|
|8||Li, L., Zhang, Z.B., Tseng, ML., Zhou, YT (2018). Optimal scale Gaussian process regression model in Insulated Gate Bipolar Transistor remaining life prediction. Applied Soft Computing (2017: SCI, IF:3.95)|
|9||Li, LL., Sun, J., Tseng, ML., Li, ZG. (2019). Extreme learning machine optimized by whale optimization algorithm using Insulated Gate Bipolar Transistor module aging degree evaluation. Expert Systems with Applications 127, 58-67 (SCI, If: 3.78)|
|10||Li, Y., Lim, M.K., Tseng, M.L. (2019). A green vehicle routing model based on modified particle swarm optimization for cold chain logistics. Industrial Management and Data Systems 119(3), 473-494 (2017: SCI, IF:2.9)|
|11||Lin, CWR., Jeng S.Y. Tseng, M.L., Tan, R.G. (2018). A cradle-to-cradle analysis in the toner cartridge supply chain using fuzzy recycling production approach. Management of Environmental Quality: an international Journal 30(2), 329-345 (ESCI) (EI)|
|12||Peng, H., Wen, WS., Tseng, ML., Li, L.L. (2019). Joint optimization method for task scheduling time and energy consumption in mobile cloud computing environment. Applied Soft Computing 80, 534-545 (SCI, IF:3.95)|
|13||Tseng ML., Phan, AT., Lin, CW., Jeng SY., Negash, Y., Darsono, SNA (2019). Sustainable Investment: interrelated among corporate governance, economic performance and market risks using investor preference approach. Sustainability journal 11, 2108 (SSCI, IF: 2.02)|
|14||Tseng, ML., Islam, MS., Karia, M., Fauzi, F.A., Afrin, S. (2019) A literature review on green supply chain management: challenges and trends. Resources, Conservation and Recycling 141, 145-162(SCI, IF: 5.12)|
|15||Tseng, ML., Tan, R.R., Chien, CF., Chiu, ASF (2019). Pathways and barriers to circularity in food systems. Resources, Conservation and Recycling 143,236-237 (SCI, IF: 5.12)|
|16||Tseng, M.L., Wu, K.J., Lim, M.K., Wong, W.P. (2019). Improving sustainable supply chain capabilities using social media in decision-making model. Journal of Cleaner Production 227, 700-711 (2016: SCI, IF:5.6)|
|17||Tseng, M.L., Wu, K.J., Lim, MK., Wong, WP. (2018). Data-driven sustainable supply chain management performance: a hierarchical structure assessment Journal of Cleaner Production 227, 760-771 (2016: SCI, IF:5.6)|
|18||Tseng, M.L., Lin, C.Y., Lin C.W.R., Wu, K.J., Sriphon, T. (2019). Ecotourism development in Thailand: community participation leads to the value of attractions using linguistic preferences. Journal of Cleaner Production 231, 1319-1329(SCI, IF: 5.6)|
|19||Tseng, ML.*, Lin, Suling (Ph.D), Chen, CC., Sarmiento, LSC. (MBA), Tan, CL. (2019). A causal sustainable product-service system using hierarchical structure with linguistic preferences in the Ecuadorian construction industry. Journal of Cleaner Production 230, 477-487 (SCI, IF: 5.6)|
|20||Tseng, ML.*, Wu, K.J. , Ma, L., Kuo, C.K., Sai, F. (2019). A hierarchical framework for assessing corporate sustainability performance using a hybrid fuzzy synthetic method-DEMATEL. Technological forecasting and social changes 144, 524-533 (SSCI, IF:2.68)|
|21||Wang, C., Ghadimi, P., Lim, MK., Tseng, ML (2019). A literature review of sustainable consumption and production: A comparative analysis in developed and developing economies. Journal of Cleaner Production 206, 741-754|
|22||Wang, J., Lim, M.K.*, Tseng, ML., Yang, Y., (2018) Promoting Low Carbon Agenda in the Urban Logistics Network Distribution System. Journal of Cleaner Production 211, 146-160. (2017: SCI, IF:5.6)|
|23||Li, L., Wen, SY., Tseng, ML., Wang CS. (2019). Renewable energy prediction: A novel short-term prediction model of photovoltaic output power. Journal of Cleaner Production 228, 359-375(2016: SCI, IF:5.6)|
|24||Wang, TC., Cheng, JS., Shih, HY., Tsai, CL., Tang, TW., Tseng, ML., Yao, YS. (2019). Environmental sustainability on the tourist hotels' images development. Sustainability journal 11(8), 2378 (SSCI, IF: 2.02)|
|25||Wu, K.J., Tseng, ML.*, Lim, M.K. (2018). A causal sustainable resource management using FSE-DEMATEL. Journal of Cleaner Production 229, 640-651 (SCI, IF: 5.6)|
|26||Wu, KJ., Gao, S., Xia, L., Tseng, ML. *, Chiu, A.S.F. (2019). Enhancing corporate knowledge management and sustainable development: An inter-dependent hierarchical structure under linguistic preferences. Resources, Conservation and Recycling146, 560-579 (SCI, IF: 5.12)|
|27||Wu, KJ., Zhu, Y., Cheng, Q., Tseng, ML. (2019). Building sustainable tourism hierarchical framework: Coordinated triple bottom line approach in linguistic preferences. Journal of Cleaner Production 229, 157-168 (SCI, IF: 5.6)|
|28||Yang, C., Lan, SL., Tseng, ML* (2018). Coordinated development path of metropolitan logistics and economy in Belt and Road using DEMATEL-Bayesian analysis. International Journal of Logistics research and applications 22 (1) , 1-24 SSCI, If:1.8)|
|29||Zhang, Q., Wu, K.J., Tseng, M.L.* (2019). Exploring Sustainable Financial Resources from Carry Trade and Exchange Rate through Employing Artificial Intelligent UKF Method. Sustainability journal 10(6) (SSCI, IF: 2.02)|
|30||Li, L. Wen, S., Tseng, M.L., Chiu, A.S.F. (2018). Photovoltaic array prediction on short-term output power method in centralized power generation system. Annals of Operations Research 1-21 (SCI)|
|31||Lin, C.W.R., Jeng, S.Y., Tseng, M.L. (2019). Sustainable development on a zero-wastewater-discharge reproduction planning under quantitative and qualitative information. Management for Environmental Quality: an International Journal (ESCI & EI)|
|32||Wong, WP., Tseng, M.L. (2018). Human factors in information leakage: mitigation strategies for information sharing integrity. Industrial Management and Data Systems (2016: SCI, IF:2.95)|
|33||Zhang, LY., Tseng, M.L.**, Xiao, C., Wang, C.H. and Fei, T.* (2018). Optimized Low-Carbon Cold Chain Logistics Using Ribonucleic Acid-Ant Colony Optimization Algorithm. Journal of Cleaner Production(SCI, IF: 6.39)|
|1||Yu, C.M., Chang, H. T., and Chen, KS.*(陳坤盛) (2018). Developing a performance evaluation matrix to enhance the learner satisfaction of an e-learning system. Total Quality Management & Business Excellence (Article in Press) (SSCI, IF:1.368)Q3|
|2||Chen, K.S. (陳坤盛) and Yang, CM (2018). Developing a performance index with a poisson process and an exponential distribution for operations management and continuous improvement. Journal of computational and applied mathematics SCI: If 1.357 Ranking 63/255|
|3||Lin, K.P.(林國平), Hung, K.C., Lin, Y.T., Hsieh, Y.H. (2018). Green suppliers performance evaluation in Belt and Road using fuzzy weighted average with social media information. Sustainability Journal (Article in Press) SSCI, If:1.789 Q2|
|4||Lin, K.P. (林國平), Tseng, M.L.(曾明朗), Pai, P.F. (2018). Sustainable supply chain management using approximate fuzzy DEMATEL method Resources, Conservation & Recycling 128,134-142 (SCI, IF: 3.4) Q1Ahmad, S., Wong, K.Y., Tseng, M.L.*, Wong, WP. (2017). Sustainable product design and development: a review of tools, applications and research prospects Resources, Conservation and Recycling 132, 49-61 (SCI, IF: 3.4)|
|5||Ahmad, S., Wong, K.Y., Tseng, M.L.*, Wong, WP. (2018). Sustainable product design and development: a review of tools, applications and research prospects. Resources, Conservation and Recycling 132, 49-61 (SCI, IF: 5.12)|
|6||Cui, L., Zhang, M., Wu, K-J., Tseng, ML. (曾明朗)(2018) Constructing a hierarchical agribusiness framework in Chinese belt and road initiatives under uncertainty. Sustainability 10(1), (SSCI, If:1.7)|
|7||Chuah, S.H.W., Rauschnabel, P.A., Tseng, M.L., Ramayah, T. (2018). Reducing temptation to switch mobile data service providers over time: The role of dedication vs constraint. Industrial Management and Data Systems 118 (8), 1597-1628 (2017: SCI, IF:2.9)|
|8||Gu, X., Ieromonachou, P. Zhou, L., Tseng, M.L. (2018). Developing pricing strategy to optimise total profits in an electric vehicle battery closed loop supply chain. Journal of Cleaner Production 203, 376-385 (2017: SCI, IF:5.6)|
|9||Gu, X., Leromonachou, P., Zhou, Li; Tseng, ML.(曾明朗), (2018). Optimising Quantity of Manufacturing and Remanufacturing in an Electric Vehicle Battery Closed-loop Supply Chain. Industrial Management and Data Systems 118(1), 283-302 (2016: SCI, If: 2.2)|
|10||Huang, J., Zhao, R., Huang, T., Wang, X., Tseng, ML.* (2018). Sustainable Municipal Solid Waste Disposal in Belt and Road. Sustainability 10(4), 1147 (SSCI, IF: 2.02|
|11||Huang, K., Guo, Y.F., Tseng, M.L.*, Wu, KJ., Li, Z.G. (2018). A novel health factor to predict the battery’s State-of-Health using support vector machine. Applied Science 8(10), 1803 https://doi.org/10.3390/app8101803 (2017: SCI, IF:1.689)|
|12||Islam, Md S., Tseng, ML.*(曾明朗), Karia, N. (2017). Assessing the green supply chain practices in Bangladesh using fuzzy importance and performance Resources, Conservation and Recycling 131, 134-145(SCI, IF: 3.4)|
|13||Kuo, T.C. , Tseng, M.L.*, Lin, C.H., Wang, R.W., Lee, CH. (2018). Identifying sustainable behavior of energy consumers as a driver of design solutions: the missing link in eco-design. Journal of Cleaner Production 192,486-495 (SCI, IF: 5.7)|
|14||Kuo, T.C., Tseng, M.L.*, Chang, P.C., Chen, P.C. (2016). Design and Analysis of Supply Chain Networks with Low Carbon Emissions. Computational Economics 52 (4), 1353-1374 (SSCI, IF:0.8)|
|15||Lan, S.L., Tseng, M.L.* (2018). Coordinated Development of Metropolitan Logistics and Economy toward Sustainability. Computational Economics 52(4), 1113-1138 (SSCI, IF: 0.66|
|16||Lee, CH., Wu, KJ., Tseng, ML. (2018) Resource management practice through eco-innovation toward sustainable development using qualitative information and quantitative data. Journal of Cleaner Production 202, 120-129 (2017: SCI, IF:5.6)|
|17||Li, L. , Lv, CM., Tseng, ML.*(曾明朗), Song, M. (2018). Renewable energy utilization method: a novel Insulated Gate Bipolar Transistor switching losses prediction model. Journal of Cleaner Production 171, 852-863 (2016: SCI, IF:5.7)|
|18||Li, L. , Yang, Y., Tseng, ML.* (曾明朗), Wang, C. H., Wu, K-J., Lim., M. (2018). A novel method to solve sustainable economic power loading dispatch problem. Industrial Management and Data Systems (2016: SCI, If: 2.2|
|19||Li, L., Lv, CM., Tseng, ML.*(曾明朗), Sun, J., (2018). Reliability measure model for electromechanical products under multiple types of uncertainties. Applied Soft Computing 65,69-78(SCi, If:3.541|
|20||Li, L., Zhang, X.B., Tseng, ML.(曾明朗), Lim, M.K. Ye, H. (2018).Sustainable energy saving: a junction temperature numerical calculation method for power Insulated gate bipolar transistor module. Journal of Cleaner Production 185 (1),198-210(2016: SCI, IF:5.7)|
|21||Li, L.; Lin, GQ., Tseng, M.L.(曾明朗), Tan, K., Lim, MK. (2018). A Maximum Power Point Tracking Method for PV System with Improved Gravitational Search Algorithm. Applied Soft Computing 65, 333-348(SCi, If:3.541)|
|22||Qu, Y., Liu, Y., Guo, L., Zhu, Q., Tseng, M.L. (曾明朗)(2018). Promoting remanufactured heavy-truck engine purchase in China: Influencing factors and their effects. Journal of Cleaner Production 185, 86-96|
|23||Liu, B.Y., Wang, G.S., Tseng, M.L.*, Wu, K.J., Li, Z.G., (2018). Exploring the reliable power module on the electro-thermal parameters : Insulated Gate Bipolar Transistor junction and case temperature. Energies 11(9), 2371 (SCI, IF: 2.6)|
|24||Liu, B.Y., Wang, G.S., Tseng, ML.*, Li, Z.G., Wu, KJ., (2018). New Energy Empowerment Using Kernel Principal Component Analysis in Insulated Gate Bipolar Transistors Module Monitoring. Sustainability Journal 10 (10), (SSCI, IF: 2.02)|
|25||Ma, L., Wang, L., Tseng, M.L. Wu, KJ. (2018). Assessing co-benefit barriers among stakeholders in Chinese construction industry. Resources, Conservation and Recycling 137, 101-112 (SCI, IF: 5.12)|
|26||Ma, L., Wang, L., Wu, K.J., Tseng, ML. Chiu, A.S.F. (2018). Exploring the decisive risks of green development projects by adopting social network analysis under stakeholder theory. Sustainability 10(6), 2104; https://doi.org/10.3390/su10062104 (SSCI, IF: 2.02)|
|27||Qu, Y., Liu, Y., Guo, L., Zhu, Q., Tseng, M.L. (2018). Promoting remanufactured heavy-truck engine purchase in China: Influencing factors and their effects. Journal of Cleaner Production 185, 86-96 (2016: SCI, IF:5.6)|
|28||Quo, L., Qu, Y., Tseng, ML. ; C Wu, H., Wang, X. (2018) Two-echelon reverse supply chain for collecting waste electrical and electronic equipment. Computers and Industrial Engineering 126, 187-195|
|29||Shih, D.H., Lu, C.M., Lee, C.H., Cai, H.Y., Wu, K.J., Tseng, ML. *(2018). Eco-innovation in Circular Agri-Business. Sustainability 10(4), 1140 (SSCI, IF: 2.2|
|30||Shih, D.H., Lu, C.M., Lee, C.H., Parng, Y.J. M., Wu, K.J., Tseng, ML.* (2018). A Strategic Knowledge Management Approach to Circular Agribusiness. Sustainability 10(7), 2389; https://doi.org/10.3390/su10072389 (SSCI, IF: 2.02)|
|31||Tseng, M.L.(曾明朗)* Chiu, ASF(周純峰), Dong, L. Sustainable consumption and production in business decision-making models. Resources, Conservation and Recycling 128,118-121(SCI, IF: 3.3)|
|32||Tseng, M.L.*, Wu, K.J. , Chiu, ASF., Tan, K., Lim, K. (2018). Service innovation in sustainable product service systems: improving performance under linguistic preferences. International Journal of Production Economics 203, 414-425.(2016: SCI, IF:4.4)|
|33||Tseng, M.L.(曾明朗), Lim, M., Wu, KJ., Zhou, L., Bui, DTD (2017) A novel approach for enhancing green supply chain management using converged interval-valued triangular fuzzy numbers-grey relation analysis. Resources, Conservation and Recycling 128, 122-133 (SCI, IF: 3.3)|
|34||Tseng, M.L.(曾明朗), Lim, M.K., Wong, W.P., Chen Y.C., Chim, Y.Z. (2018). A Framework for Evaluating the Performance of Sustainable Service Supply Chain Management under uncertainty. International Journal of Production Economics 195, 359-372 (2015: SCI, IF:2.7) 104-2410-H-262 -004|
|35||Tseng, M.L., Wu, KJ., Hu, JY. (2018). Decision-making model on Sustainable Supply Chain Finance in Uncertainty. International Journal of Production Economics 205, 30-36 (2016: SCI, IF:4.4)|
|36||Tseng, M.L.(曾明朗), Tan,R.R; Chiu A.; Chien, CF., Kuo, TC. (2018). Circular Economy Meets Industry 4.0: Can Big Data Drive Industrial Symbiosis? Resources, Conservation and Recycling 131, 146-147 (SCI, IF: 3.4) Q1|
|37||Tseng, M.L.*(曾明朗) , Zhu, Q., Sarkis, J., Chiu, ASF(周純峰) (2018). Responsible Consumption and Production in corporate Decision-making model using soft computation. Industrial Management and Data Systems 118(2), 322-329(2016: SCI, If: 2.2) Q|
|38||Tseng, ML.*, Wong, WP; Soh, KL., (2018). An Overview of the Substance of Resource, Conservation and Recycling. Resources, Conservation and Recycling 136, 367-375 (SCI, IF: 5.12)|
|39||Tseng, ML.*, Wu, KJ. , Lim, K., Bui, TD. , Chen, CC (2018). Assessing sustainable tourism in Vietnam: a hierarchical structure approach. Journal of Cleaner Production 195, 406-417 (2016: SCI, IF:5.6)|
|40||Tseng, ML.*, Wu, KJ. (2018). Corporate sustainability performance improvement: an interrelationship hierarchical model approach. Business Strategy and the Environment 27(8), 1334-1346 (SCI, IF: 5.3|
|41||Wu, K.J., Zhu, Y., Lee, CH., Tseng, ML.*, Lim, M., Xue, B. (2018). Developing a hierarchal structure of the co-benefits of the triple bottom line under uncertainty. Journal of Cleaner Production 195, 908-918 (SCI, IF: 5.6)|
|42||Zhao, R., Liu, Y., Zhang, Z., Guo, S., Tseng, ML*., Wu, KJ. (2018) Enhancing Eco-Efficiency of Agro-Products’ Closed-Loop Supply Chain under the Belt and Road Initiatives: A System Dynamics Approach. Sustainability 10(3), 668 (SSCI, IF: 2.2)|