Kyung Hee University · Business, Management and Accounting
Professor Miao Su's research lab specializes in sustainable logistics and digital transformation, focusing on the integration of advanced technologies—such as machine learning, system dynamics, and optimization algorithms—into transportation and supply chain systems. The lab investigates green port development, agricultural food cold chain sustainability, and ship fuel consumption prediction to enhance environmental performance and operational efficiency. It also explores social sustainability in logistics, particularly the impact of work conditions and psychological well-being on couriers and consumers during crises like the COVID-19 pandemic.
Figures are computed from collected data and may differ slightly.
Ports are the main arteries of global trade, handling goods circulation and serving as hubs for information, capital, and technology. Integrating digital technology has become the key for green port development to achieve resource efficiency and ecological balance. The current literature overlooks how digital technology can facilitate greener port operations. This study integrates sustainable supply chain management and system dynamics theories based on an in-depth analysis of existing research
Abstract With serious environmental, cost, and social concerns arising from emerging countries' rapid growth in agricultural food cold chain (AFCC), AFCC firms urgently require a set of comprehensive sustainable strategic solutions. Therefore, this research identified and modeled the critical success factors (CSFs) that support the sustainable development of AFCCs. The study integrated institutional theory, stakeholder theory, and the triple bottom line model; it also surveyed cold chain experts
Shipping companies are facing rising fuel consumption costs and pressure to reduce emissions, so reducing logistics consumption costs and addressing stakeholders’ environmental concerns have become urgent tasks. This study aims to develop a ship fuel cost prediction model using statistical and machine learning methods. We analyzed a dataset from a large PCTC shipping company in South Korea containing 16, 189 observations for the period from 2012 to 2021. Fuel consumption costs was predicted usin
Predicting and optimizing ship fuel use is a crucial technology for lowering greenhouse gas emissions. Unfortunately, existing research is rarely capable of developing fuel consumption forecasts and optimization models for a particular transport system. This study develops a fuel consumption prediction model based on machine learning and a fuel consumption optimization model based on particle swarm optimization for ships. We studied nearly ten years of big data from a large Korean pure car and t
Due to the spike in online-retail demand during the pandemic, couriers confront increased workload and safety concerns, posing significant social-sustainability challenges for courier companies. This study explores the impact of social-sustainability practices on couriers' job satisfaction in the context of the COVID-19 pandemic. We designed the research model from the theoretical lens of Maslow's hierarchy of needs, equity, and psychological-safety theories. We collected the views of 428 courie
In order to improve the satisfaction of online retail consumers and explore the process of forming consumer loyalty during the COVID-19 pandemic, this research combines the theories of perceived value and affect-as-information, taking cold chain logistics services (PDS) as an example to discuss the influence of PDS quality (PDSQ) of online retail cold chain on consumers' psychological emotion (satisfaction and psychological distress), attitude, and behaviour (loyalty). We collected 350 valid res
In recent years, suppliers’ sustainability has been the primary source of conflict in multinational supply chains. How suppliers from developing nations may accomplish sustainable development and competitive advantage goals has become a tough issue inside the multinational supply chain, particularly in the agri-food cold chain. Using an integrated theory-based perspective, this paper analyzes how sustainable logistics service providers’ supply chain cooperation (MSCC) might drive the sustainable
Innovation continues to be a strategic priority of corporate competitiveness. Despite there is a sizable body of research that addresses how innovations influence various business outcomes, little is known as to whether and how process and product innovation may fuel/hinder the supply chain strategic fit (SCSF) and the business performance of focal small and medium-sized enterprises (SMEs). Employing structural equation modelling on data collected from 258 Korean SMEs, we find that both process
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