Technology adoption in socially sustainable supply chain management: Towards an integrated conceptual framework

M Jiang, F Jia, L Chen, X **ng - Technological Forecasting and Social …, 2024 - Elsevier
This study aims to systematically review existing literature on digital technology adoption for
socially sustainable supply chain management (SSSCM) and propose a theoretical …

Operations research and analytics to combat human trafficking: A systematic review of academic literature

GL Dimas, RA Konrad, K Lee Maass, AC Trapp - PloS one, 2022 - journals.plos.org
Human trafficking is a widespread and compound social, economic, and human rights issue
occurring in every region of the world. While there have been an increasing number of anti …

[HTML][HTML] A decision support system for selection and risk management of sustainability governance approaches in multi-tier supply chain

A Jamalnia, Y Gong, K Govindan, M Bourlakis… - International Journal of …, 2023 - Elsevier
Lower-tier suppliers' sustainability noncompliance and focal company's failure at meeting
the expectations of the stakeholders to extend sustainability towards lower-tier suppliers …

Big data analytics for supply chain risk management: research opportunities at process crossroads

L de Assis Santos, L Marques - Business Process Management …, 2022 - emerald.com
Purpose The purpose of this study is to map current knowledge on big data analytics (BDA)
for supply chain risk management (SCRM) while providing future research needs …

Text mining for supply chain risk management in the apparel industry

SM Shah, M Lütjen, M Freitag - Applied Sciences, 2021 - mdpi.com
Text mining tools are now widely used for the efficient management of information and
resources in business, academic and research organizations. This paper provides a …

Data mining and operations research techniques in Supply Chain Risk Management: A bibliometric study.

JBN Da Silva, P Senna, A Chousa… - Brazilian Journal of …, 2020 - bjopm.org.br
GOAL: This paper aims to carry a bibliometric study to map how data mining and operations
research techniques are being applied to Supply Chain Risk Management. DESIGN …

Big data visualization of the quantification of influencing factors and key monitoring indicators in the refined oil products market based on fuzzy mathematics

Y Zhu, X Liu - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
In this paper, an in-depth study on the quantification of influencing factors and big data
visualization of key monitoring indicators in the refined oil products market is carried out …

Extracting pest risk information from risk assessment documents

G Newton, O Korol, A Lévesque… - 2019 ACM/IEEE …, 2019 - ieeexplore.ieee.org
Outbreaks of plant pests and pathogens have the potential to significantly harm the
Canadian economy, damage the environment, detrimentally affect the health of citizens, and …

Achieving the triple bottom line through big data analytics

B Shdifat, DC Kozanoglu, S Erfani - … of corporate sustainability in the digital …, 2021 - Springer
Sustaining growth and maximizing profitability over the long term are the main goals for
businesses to survive in today's' competitive markets. However, the current sustainability …

ICT as an Enabler for a Society where No One is Left Behind

NM Novak, AM Tjoa - Proceedings of the 20th International Conference …, 2018 - dl.acm.org
The United Nations Agenda for Sustainable Development was unanimously adopted by all
its 193 heads of member states or their representatives." No-one should be left behind" is …