Results 201 to 210 of about 137,739 (283)

Modelling Sustainability Performance in Manufacturing Companies

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Nowadays, organisations need to operate with economic, social and environmental goals in mind. Indices objectively quantify such goals; hence, an organisation can develop and compare policies based on future index values. We propose a system dynamics‐based model of a manufacturing company that frames its operations in terms of a set of easily ...
Harol Andrey Avila‐Choconta   +3 more
wiley   +1 more source

Breaking Down Online and Digital Reporting Practices: A Research Map From Websites to Social Media

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This paper adopts a mixed research methodology, integrating bibliometric and systematic literature review (SLR) tools, to systematise the academic contributions and the different bodies of knowledge generated over the last decades on online and digital reporting practices, ranging from websites to social media.
Giuseppe Nicolò   +3 more
wiley   +1 more source

Life Cycle Analysis as a Sustainable Governance Lever for Environmental Performance: Evidence From French SBF 120 Companies

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study draws on neo‐institutional theory, stakeholder theory, and the resource‐based view to examine the relationship between the use of Life Cycle Analysis (LCA) and firms' Environmental Performance (EP). Focusing on French companies listed on the SBF 120 index from 2002 to 2021, it investigates how LCA adoption influences EP across three
Nesrine Ben Ismail, Sami Ben Larbi
wiley   +1 more source

Optimal Tax Administration

open access: yes, 2016
Michael Keen, Joel Slemrod
openaire   +1 more source

Automated CLL cell population detection using a weakly supervised approach and CLL MRD flow cytometry data

open access: yesCytometry Part B: Clinical Cytometry, EarlyView.
Abstract Minimal/measurable residual disease detection is routinely performed as part of post‐diagnostic treatment plans for many types of cancer, for which multiparameter flow cytometry is one possible modality frequently used. We propose a machine learning approach for binary prediction of minimal residual disease status with flow cytometry data. Our
Wikum Dinalankara   +5 more
wiley   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh   +12 more
wiley   +1 more source

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