This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 21–40 of 227 papers
Qinpeng Wang, Guotao Wu, longfei he
This study uses differential games to analyze big data service (BDS) investment strategies in a dual-channel low-carbon supply chain, considering consumer reference effects on emission reduction levels. It finds that joint BDS investment be…
Ali Bozkurt, Dimitri Petrik, Samed Ajdinović +2
This study investigates the integration of Digital Product Passports (DPPs) into AGV/AMR-based intralogistics systems, drawing on 15 expert interviews. It identifies three key challenges: inconsistent standardization, heterogeneous IT secur…
Shakerod Munuhwa
This chapter examines how big data analytics supports the shift from linear to circular supply chains, focusing on resource efficiency, waste reduction, and life-cycle optimization. It presents case examples from food, apparel, and manufact…
Tereza De Castro, Jana Vlčková
This paper shows that Czechia's GVC integration reshapes GHG emissions distribution across domestic production, foreign upstream supply chains, and final demand. Using OECD GHG Footprints and TiVA data (1995-2020), it highlights the automot…
Zhijie Wang, Hongxia Sun
Under carbon cap-and-trade, this paper uses a biform game to analyze the coexistence of competition and cooperation in carbon emission reduction (CER) among independent remanufacturers (IRs). A technologically advantaged IR performs better …
McGeoch K.
This paper examines the skills required for partnership building and supply chain engagement in the UK green energy sector. It focuses on workforce development and organizational capabilities to support the renewable energy transition, offe…
Hongxing Yang, Di Yang, A. Absamatov
Using PLS-SEM on 376 Chinese sports-goods firms, this study shows CSR and eco-finance promote green innovation, which sequentially drives circular supply chain adoption and performance. The effects are indirect, highlighting the importance …
Gnanaraj V, Vellaikannan B
This paper proposes a multi-objective closed-loop supply chain optimization model that explicitly incorporates battery State-of-Health (SoH) degradation. Using adaptive neutrosophic numbers to handle uncertainty, it analyzes trade-offs amon…
Majdi Argoubi, Khaled Mili
This study proposes a multi-objective optimization framework for olive oil supply chains, integrating environmental compliance and economic performance. Using ε-constraint method, it reveals trade-offs and achieves 14.6% CO2 reduction in a …
Maria Papadaki
This paper proposes a blockchain-IoT framework for sustainable agricultural supply chains, integrating tamper-proof traceability with automated carbon accounting aligned to standards such as the EU CSRD. It addresses oracle mechanisms, inte…
Liu, Tianjiao
This study proposes a Carbon Footprint Management Platform (CFMPABT) integrating blockchain and IoT to ensure transparency and trust in supply chain carbon data. IoT sensors collect real-time emission data, while blockchain provides immutab…
Fu Jia, Stefan Seuring, Lujie Chen +1
This editorial systematically reviews supply chain transparency (SCT) literature and proposes a framework with antecedents, practices, outcomes, and challenges. It highlights the role of digital technologies and stakeholder pressures while …
Mary Laura Lind, Walter Lehmacher, Kimberly E. Lind +1
This paper argues that fragmented, low-quality data sharing in supply chains undermines both disruption management and accurate GHG accounting, since only primary data enables precise emission calculations. It proposes rethinking digital co…
Samantha Reynolds
This qualitative study investigates green logistics strategies for reducing carbon footprints in supply chains, drawing on interviews with managers and experts. It identifies route optimization using telematics and data analytics, eco-frien…
Martin Straka, K. Kleinová
This paper proposes a three-layer autonomous replenishment system for shared logistics using LSTM demand forecasting, VRP/ACO route optimization, and anomaly detection. Simulations show 95% inventory prediction accuracy (MAPE=4.02%), reduci…
Milad Darzi Ramandi, Armin Jabbarzadeh, Amin Chaabane +1
This study models green supply chain coordination in the pharmaceutical industry using game theory, analyzing how government emission taxes and incentives affect green investments and profit-sharing contracts. Validation with real-world dat…
Amin Jan, Anas A. Salameh, Haseeb Ur Rahman +1
This conceptual paper examines whether blockchain can enhance environmental SDG performance in manufacturing firms by enabling a shift to green supply chain management. It proposes a framework with propositions for future empirical testing …
Ying Xu, Fu Jia, Lujie Chen +1
Using panel data of 454 Chinese listed manufacturing firms (2010-2021), this study shows digital transformation (DT) promotes carbon emissions reduction (CER). The positive effect is stronger under high supplier/customer concentration but w…
Vasyl NAMONIUK, Arina MALIUHA
This study identifies three corporate response patterns to global shocks—maintaining standards, acknowledged compromise, and silent retreat—using QCA and case studies across textile, automotive, tech, and logistics sectors. It reveals a str…
Guangqian Ren, Man Jing, Peitong Liu +1
Using Chinese A-share listed firms from 2011-2024, this study shows that customer AI technology significantly boosts suppliers' green and low-carbon efforts (GLE) via green demand forcing and green knowledge spillover. Effects are amplified…
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