Annals of Operations Research, Journal Year: 2024, Volume and Issue: unknown
Published: June 15, 2024
Language: Английский
Annals of Operations Research, Journal Year: 2024, Volume and Issue: unknown
Published: June 15, 2024
Language: Английский
Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 447, P. 141298 - 141298
Published: Feb. 15, 2024
Language: Английский
Citations
160Asia Pacific Journal of Marketing and Logistics, Journal Year: 2024, Volume and Issue: 36(10), P. 2354 - 2370
Published: March 8, 2024
Purpose This study embarks on a comprehensive investigation into the intricate relationship between consumer trust in e-commerce platforms and adoption of Green Supply Chain Management (GSCM). It delves multifaceted analysis how these dynamics influence landscape online shopping, with specific focus four critical dimensions: efficiency purchasing processes, fulfillment product delivery commitments, convenience associated e-platform utilization, safeguarding consumers' personal information. Design/methodology/approach research employs sophisticated Structural Equation Modeling (SEM) techniques, facilitated by SPSS SmartPLS software, to meticulously analyze amassed data subject formulated hypotheses rigorous testing. The empirical foundation this draws from sample 377 randomly selected shoppers, providing robust basis for its insights. Findings At core, is squarely focused unraveling within highlighting pivotal role played GSCM making shopping more ecologically responsible sustainable. Of paramount importance novel dimension introduced integration platforms, practices, multifarious dimensions all unified conceptual framework. Trust leads GSCM. determines satisfaction, i.e. efficiency, fulfillment, convenience, privacy. Finally, mediates satisfaction. Practical implications holistic approach represents ground-breaking contribution existing body literature. presents fresh perspective interactions that define contemporary landscape. Originality/value initial integrates GSCM, single framework through UTAUT2.
Language: Английский
Citations
24Energy Economics, Journal Year: 2024, Volume and Issue: 132, P. 107479 - 107479
Published: March 18, 2024
Language: Английский
Citations
20Finance research letters, Journal Year: 2025, Volume and Issue: unknown, P. 106830 - 106830
Published: Jan. 1, 2025
Language: Английский
Citations
2Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108378 - 108378
Published: March 1, 2025
Language: Английский
Citations
2Industrial Marketing Management, Journal Year: 2023, Volume and Issue: 117, P. 28 - 41
Published: Dec. 19, 2023
Language: Английский
Citations
30Sustainable Development, Journal Year: 2024, Volume and Issue: unknown
Published: July 27, 2024
Abstract Digital technologies have the potential to support achieving Sustainable Development Goals (SDGs). Existing scientific literature lacks a comprehensive analysis of triple link: “digital – different industry sectors SDGs”. By systematically analyzing extant literature, 1098 sustainable business practices been collected from 578 papers, using 11 digital in 17 industries achieve SDGs. For instance, find that artificial intelligence can be used affordable and clean energy (SDG 7), responsible consumption production 12) as well address climate change 13). Further, geospatial may applied agricultural reduce hunger various domains 2), foster good health well‐being 3), improve availability water sanitation facilities 6), raise awareness on 12), safeguard life land 15), among other insights.
Language: Английский
Citations
11Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 205, P. 123517 - 123517
Published: June 14, 2024
Language: Английский
Citations
7Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 4901 - 4901
Published: June 7, 2024
The integration of sustainable indicators into supply-chain management (SCM), including cost, innovation capability, quality, service long-term cooperation, environmental system, pollution reduction, green image, social responsibility, and employment practices, has become essential for conducting strategic analyses the entire process competitive advantage. This study proposes a fuzzy multi-criteria decision-making (MCDM) method to solve SCM issues. To navigate this complexity, multi-criterion framework is employed, integrating MCDM methods with logic effectively address subjective criteria. innovative approach not only enhances (SCM) but also emphasizes necessity ongoing in tackling contemporary challenges. It serves as cornerstone supplier selection practices optimizing processes. In study, hybrid proposed selection. addresses by utilizing evaluations from expert decision-makers based on predetermined comprehensive ensures that all relevant factors are considered, promoting efficient management.
Language: Английский
Citations
6International Journal of Information Management Data Insights, Journal Year: 2024, Volume and Issue: 4(2), P. 100285 - 100285
Published: Sept. 12, 2024
Language: Английский
Citations
6