Results 71 to 80 of about 3,395,069 (243)

When Collaboration Bridges or Breaks: A Systematic Review of Emerging Trends in Supply Chain Resilience and Sustainability

Business Strategy and the Environment, EarlyView.
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia, Luca Urciuoli   +1 more
wiley   +1 more source

A Heuristic Approach for International Crude Oil Transportation Scheduling Problems

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2012
In this paper, we propose a heuristic algorithm to solve a practical ship scheduling problem for international crude oil transportation. The problem is considered as a vehicle routing problem with split deliveries.
Sisi YIN, Tatsushi NISHI, Tsukasa IZUNO
doaj   +1 more source

Integrating Recycling and Emission Reduction: A Business Strategy Analysis With Multi‐Objective Mixed‐Integer Linear Programming Framework for Optimising Sustainable Closed‐Loop Supply Chain Network Design

Business Strategy and the Environment, EarlyView.
ABSTRACT This research develops an integrated mixed‐integer linear programming (MILP) model for closed‐loop supply chain network design that optimises competing economic and environmental objectives including profit maximisation, supplier quality improvement and CO2 emission reduction.
Reza Eslamipoor
wiley   +1 more source

New heuristics and meta-heuristics for the Bandpass problem

Engineering Science and Technology, an International Journal, 2017
The Bandpass problem (BP), modelled by Babayev et al., is a combinatorial optimization problem arising in optical communication networks using wavelength division multiplexing technology.
Arif Gursoy, Mehmet Kurt, Hakan Kutucu, Urfat Nuriyev   +3 more
doaj   +1 more source

When Social Media Influencers Work: A Meta‐Analysis of Brand Engagement, Behavioral Intention, and Boundary Conditions

Journal of Consumer Behaviour, EarlyView.
ABSTRACT This study examines how social media influencers (SMIs) shape brand engagement and behavioral intention and when these effects vary across contexts. Drawing on 97 studies with a sample of 40,330 participants, we employ one‐stage meta‐analytic structural equation modeling (OSMASEM) to estimate the effects of SMI credibility (attractiveness ...
Tareq Rasul, Fernando de Oliveira Santini, Weng Marc Lim, Wagner Junior Ladeira, Isaac Cheah, Arnold Japutra, Musarrat Shaheen   +6 more
wiley   +1 more source

Vine copula knockoffs for variable selection in gene expression studies

Canadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm

Energies, 2012
The accuracy of annual electric load forecasting plays an important role in the economic and social benefits of electric power systems. The least squares support vector machine (LSSVM) has been proven to offer strong potential in forecasting issues ...
Bao Wang, Chenbo Su, Huiru Zhao, Sen Guo, Hongze Li   +4 more
doaj   +1 more source

Shifting Tides: A Decade of Business Climate Adaptation and Resilience Research (2013–2023)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Climate change is causing significant disruptions to the socio‐ecological systems in which organizations operate, presenting unprecedented challenges for businesses across sectors in adapting to shifting environmental conditions and building resilience to extreme weather events.
Domenico Villano, Laura Colli, Federico Martellozzo, Sara Lombardi   +3 more
wiley   +1 more source

A novel metaheuristic optimizer GPSed via artificial intelligence for reliable economic dispatch

Scientific Reports
Recently, meta-heuristic optimization algorithms have enhanced resource efficiency, facilitated informed decision-making, and addressed complex problems involving multiple variables and constraints in engineering and science fields.
Mahmoud Ibrahim Mohamed, Ali M. Yousef, Ahmed A. Hafez   +2 more
doaj   +1 more source

Can AI Write Authentic CSR? Effects of Message Source Across Informational and Narrative CSR Communication

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As artificial intelligence (AI)‐generated messages increasingly approach human‐level quality, can AI effectively substitute human authors in value‐laden brand communications such as corporate social responsibility (CSR) messaging? This study examines how CSR message source (AI‐generated vs.
Terry Haekyung Kim, Bugil Chang, Katie Haejung Kim   +2 more
wiley   +1 more source