Sustainability Assessment Instruments for Consumers - A multi-domain review from industrial engineering to marketing

被引:0
|
作者
Shao, Jing [1 ,2 ]
Taisch, Marco [1 ]
Ortega Mier, Miguel [2 ]
机构
[1] Politecn Milan, Dept Management Econ & Ind Engn, I-20133 Milan, Italy
[2] Univ Politecn Madrid, Dept Ind Engn Business Adm & Stat, E-28040 Madrid, Spain
关键词
sustainability; performance assessment instruments; consumers; marketing instruments; information transparency; ENVIRONMENTAL INFORMATION; ENERGY EFFICIENCY; INDICATORS; PERCEPTIONS; CONSUMPTION; PRODUCTS; REDUCE; INDEX; GAPS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study presents a multi-domain review of available sustainability assessment instruments which provide sustainability information for consumers. It covers both industrial engineering and marketing fields. It is found that only few of the indicators focus on the environmental and social performance assessment which fits consumers' interests. The study shows that gap exists between present sustainability assessment instruments and consumers. And we explored insights of consumer awareness on sustainability related information which provided by producers. Reasons of non-transparency from environmental concerns to consumer purchasing habits are analyzed. Furthermore, gaps between performance assessment instruments and consumers are further defined from several perspectives. Finally, suggestions for development of future theory and research are offered.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Multi-domain Simulation as a Foundation for the Engineering of Smart Systems: Challenges and the SMAC Vision
    Gillon, Renaud
    Gangemi, Giuliana
    Grosso, Michelangelo
    Fummi, Franco
    Poncino, Massimo
    2014 21ST IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS (ICECS), 2014, : 858 - 861
  • [42] LBMDTE: Multi-Domain Traffic Engineering in Distributed Software-Defined Networks
    Wang, Kun
    Lv, Guanghong
    COMPUTER COMMUNICATIONS, 2025, 236
  • [43] Heart Sound Signal Quality Assessment Based on Multi-Domain Features
    Jiao, Yu
    Wang, Xinpei
    Liu, Changchun
    Li, Han
    Zhang, Huan
    Hu, Ying
    Liu, Runkun
    Ji, Bing
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2020, 10 (03) : 736 - 742
  • [44] Multi-Domain Gait Assessment and Fall Risk in Normal Pressure Hydrocephalus
    Barough, Siavash Shirzadeh
    Patel, Megha
    Ho, Sara Grace
    Xu, Yadi
    Moghekar, Abhay
    ANNALS OF NEUROLOGY, 2024, 96 : S132 - S133
  • [45] Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal
    Ahmad, Zeeshan
    Khan, Naimul Mefraz
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 4518 - 4521
  • [46] Multi-Domain Federation Utilizing Software Defined Networking-A Review
    Hassan, Mohammad
    Gregory, Mark A.
    Li, Shuo
    IEEE ACCESS, 2023, 11 : 19202 - 19227
  • [47] Multi-domain urban-scale energy modelling tools: A review
    Sola, Alaia
    Corchero, Cristina
    Salom, Jaume
    Sanmarti, Manel
    SUSTAINABLE CITIES AND SOCIETY, 2020, 54 (54)
  • [48] The role of social media in the co-creation of value in relationship marketing: a multi-domain study
    Abeza, Gashaw
    O'Reilly, Norm
    Finch, David
    Seguin, Benoit
    Nadeau, John
    JOURNAL OF STRATEGIC MARKETING, 2020, 28 (06) : 472 - 493
  • [49] Review of Methods for Sustainability Assessment of Chemical Engineering Processes
    Chang, Fei
    Zhang, Xiangping
    Zhan, Guoxiong
    Duan, Yuanmeng
    Zhang, Suojiang
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, 60 (01) : 52 - 66
  • [50] Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
    Wang, Yong
    Wang, Longyue
    Shi, Shuming
    Li, Victor O. K.
    Tu, Zhaopeng
    THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 9233 - 9241