INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT (INT J LIFE CYCLE ASSESS) 是第一本完全致力于生命周期评估和密切相关方法的期刊。 LCA 已成为一种公认的工具，用于评估产品系统连续和相互关联的各个阶段的生态负担和影响，从原材料获取或自然资源生成，到生产和使用再到最终处置。 INT J LIFE CYCLE ASSESS 是一个供科学家开发 LCA 和 LCM（生命周期管理）的论坛； LCA 和 LCM 从业者；关注产品环境方面的经理；负责产品质量的政府环境机构；参与 LCA 发展的科学和工业协会，以及生态机构和团体。

The International Journal of Life Cycle Assessment is the first academic journal dedicated entirely to life cycle assessment (LCA) and closely related methods. LCA has become a recognized tool for evaluating the ecological burdens and impacts of product systems across various stages, from raw material acquisition to production, use, and final disposal. This journal serves as a forum for scientists, practitioners of life cycle management (LCM), managers concerned with the environmental aspects of products, government environmental agencies responsible for product quality, scientific and industrial associations involved in the development of LCA, as well as ecological organizations and groups.

《国际生命周期评估期刊》（International Journal of Life Cycle Assessment）是首个专注于生命周期评估及相关方法的学术期刊。生命周期评估（LCA）已成为评估产品系统在各个阶段的生态负担和影响的重要工具，这些阶段包括原材料获取、生产、使用以及最终处置。该期刊为科学家、生命周期管理（LCM）从业者、关注产品环境影响的管理人员、负责产品质量的政府环境机构、参与LCA发展的科学和工业协会，以及生态机构和团体提供了一个交流和发展的平台。

International Journal of Life Cycle Assessment

Wagner Teixeira França

Murillo Vetroni Barros

Rodrigo Salvador

Antonio Carlos de Francisco

Maria Teresa Moreira

Cassiano Moro Piekarski

The International Journal of Life Cycle Assessment

Int J Life Cycle Assess

Integrating life cycle assessment and life cycle cost: a review of environmental-economic studies

Mahsa Torabi

Ralph Evins

Towards net-zero carbon buildings: Investigating the impact of early-stage structure design on building embodied carbon

迈向净零碳建筑：探究早期结构设计对建筑隐含碳的影响

Miguel F. Astudillo

Gunnar Thalwitz

Fritz Vollrath

Modern analysis of an ancient integrated farming arrangement: life cycle assessment of a mulberry dyke and pond system

古代综合农业模式的现代分析：桑基鱼塘系统生命周期评估

Kamalakanta Sahoo

Richard Bergman

Troy Runge

Life-cycle assessment of redwood lumber products in the US

美国红木木材产品的生命周期评估

Yi Yang

Does hybrid LCA with a complete system boundary yield adequate results for product promotion?

混合生命周期评估与完整系统边界是否能产生足够的结果以促进产品推广？

Nicola Raimo

Vitiana L’Abate

Giuseppe Nicolò

Filippo Vitolla

Shedding light on environmental disclosure: leveraging digital platforms for life cycle information transparency

揭示环境披露：利用数字平台实现生命周期信息透明度

Yoann Baulaz

Emma Araignous

Paula Perez-Lopez

Mélanie Douziech

Nolwenn Quillien

Francesca Verones

Development of a collision impact indicator to integrate in the life cycle assessment of offshore wind farms

开发用于海上风电场生命周期评估的碰撞影响指标

Abstract Purpose Companies need to enhance their understanding of the environmental impacts of their products and services. Life cycle assessment (LCA) has become a prevalent method for evaluating these impacts. Despite significant advancements in LCA methodology and data availability, several challenges persist. Digital technologies may offer solutions to these challenges in LCA. Therefore, it is crucial to explore how digital technologies can be integrated into LCAs. Methods A systematic literature review was conducted to examine the application of digital technologies, specifically blockchain, the Internet of Things (IoT), big data, and artificial intelligence (AI), within LCAs. The review included 103 peer-reviewed journal articles and conference papers. Contributions of these technologies were categorized according to the four LCA phases outlined in ISO 14040/44 standards. The findings were synthesized into a framework that highlights the individual and combined potential of these technologies for enhancing LCAs. Results and discussion The review reveals that IoT is primarily used in the inventory analysis phase, while blockchain, AI, and big data are applied across the goal and scope definition, inventory analysis, impact assessment, and interpretation phases. Based on these findings, a comprehensive theoretical concept was developed to outline all possible combinations of these four technologies with LCA for synergistic application. Conclusions This study proposes a framework for integrating four key digital technologies—blockchain, IoT, big data, and AI—into LCAs to support environmental sustainability assessment from a company perspective. This framework offers a current overview and a foundation for future research. For LCA practitioners, it serves as a strategic tool for identifying potential technologies and making informed decisions about which digital technologies to apply in their assessments.

Martin Popowicz

Nicolas J. Katzer

Moritz Kettele

Josef-Peter Schöggl

Rupert J. Baumgartner

Digital technologies for life cycle assessment: a review and integrated combination framework

生命周期评估的数字技术：综述与集成组合框架

Steven MacMaster

Julie Sinistore

Testing the use of a large language model (LLM) for performing data quality assessment

测试大型语言模型（LLM）在执行数据质量评估中的应用

Abstract Introduction S-LCA has emerged within sustainability assessment in the last 20 years, aiming at assessing the social impacts of products and services. Several improvements on the methodological and theoretical backgrounds were reported in the literature, since its early beginning. However, there are still some gaps that must be filled: lack of consensus on the indicators, methodological limitations, and hegemony of secondary data, among others. Therefore, this research aimed to benefit from one area related to social sciences, named as psychometrics, to develop 14 questionnaires (scales) to collect primary data regarding all worker’s impact subcategories. Method In general terms, the methodological steps were as follows: (1) literature review of the impact subcategories; (2) definition of the constitutive and operational definitions; (3) run focus groups with workers from different economic sectors and positions to deep understand their reality; (4) creating scales’ items; (5) run semantics analysis; (6) run specialists’ analyses; (7) pilot and final application of the scales; and (8) run exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Results and discussion Five different focus groups were run to better understand each subcategory, and 14 semantics analyses to check the understanding of the scales’ items. Five different groups comprised of four different experts on S-LCA assessed the items’ content. Kappa’s Fleiss indicated from moderate to almost perfect agreement. The scales were applied in two rounds. On the first, EFA was run pointing out to factor retention solution identical or close to the literature review. CFA confirmed the models proposed with adequate adjustment indices. The analyses have shown that all 14 scales indicated to have evidence of content validity and validity based on the internal structure. The reliability coefficients relating to the indicators appointed to a high precision on the measurement. Conclusions This study contributes to overcoming some of the current theoretical and methodological gaps in S-LCA. Practitioners can benefit from 14 scales to collect primary data regarding worker in a reliable, scientific, and confidential way. Data can be used in both types of impact assessment methods. The scales may also support other research initiatives that aim at studying and improving working conditions for all workers, from any economic sector.

Arij Mohamad Radwan Omar Chabrawi

Josemberg Moura de Andrade

Cássia Maria Lie Ugaya

Marzia Traverso

Towards reliable primary data collection and harmonized set of indicators in S-LCA on the stakeholder worker

面向利益相关者工人的S-LCA中可靠原始数据收集与协调指标集

Abbreviation	Int J Life Cycle Assess
Journal Impact	4.99
Quartiles(Global)	ENVIRONMENTAL SCIENCES(Q1)

ISSN	0948-3349, 1614-7502
h-index	131

Publication Information	Publisher: Springer，Publishing cycle: Bimonthly，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 1996，Proportion of original research papers: 92.86%，Self Citation Rate:8.20%， Gold OA Rate: 50.27%
Average review cycle	网友分享经验：偏慢,8-16周
Average recruitment ratio	网友分享经验：较易

International Journal of Life Cycle Assessment

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