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Miao Su

Hanyang University · Business, Management and Accounting

About the Lab

Professor Miao Su's research lab specializes in sustainable logistics and digital transformation in supply chains, with a strong focus on green port development, agricultural food cold chain sustainability, and ship fuel consumption optimization. The lab integrates advanced data analytics, machine learning, and system dynamics modeling to address environmental, economic, and social challenges in transportation and logistics systems. Key research directions include digitalization for ecological efficiency, stakeholder-driven sustainability strategies, and predictive modeling for low-carbon operations.

sustainable logisticsfuel consumption predictiondigital supply chaincold chain sustainabilitymachine learning in shipping

Research Overview

Papers
61
Total Citations
590
Papers (5y)
46
Primary Field
Business, Management and Accounting

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
46total
2022
2023
2024
2025
2026
Citations per year (5y)
533total
20222023202420252026

Selected Papers

15
1
Article|40 citations·2024
Critical Success Factors for Green Port Transformation Using Digital Technology
Zhenqing Su, Yanfeng Liu, Yuan Gao, Keun-Sik Park, Miao Su
SJR Q2Journal of Marine Science and EngineeringOA

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

Industrial and Manufacturing EngineeringEngineering
2
Article|39 citations·2022
Sustainable marketing innovation and consumption: Evidence from cold chain food online retail
Miao Su, Mingjie Fang, Junseung Kim, Keun-Sik Park
SJR Q1Journal of Cleaner Production
MarketingBusiness, Management and Accounting
3
Article|32 citations·2022
Identifying critical success factors for the agri‐food cold chain's sustainable development: When the strategy system comes into play
Miao Su, Su‐Han Woo, Chen Xiao-chun, Keun-Sik Park
SJR Q1Business Strategy and the Environment

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

Strategy and ManagementBusiness, Management and Accounting
4
Article|32 citations·2023
Green cooperation in last-mile logistics and consumer loyalty: An empirical analysis of a theoretical framework
Hye-jeong Yang, Mingjie Fang, Jinge Yao, Miao Su
SJR Q1Journal of Retailing and Consumer Services
MarketingBusiness, Management and Accounting
5
Article|28 citations·2023
Green outward foreign direct investment and host country environmental effects: The home country's carbon emission reduction system is crucial
Jinjing Zhao, Jie Pan, Xiangwei Xie, Miao Su
SJR Q1Energy
Economics and EconometricsEconomics, Econometrics and Finance
6
Article|25 citations·2023
Fuel Consumption Prediction and Optimization Model for Pure Car/Truck Transport Ships
Miao Su, Zhenqing Su, Shengli Cao, Keun-Sik Park, Sung-Hoon Bae
SJR Q2Journal of Marine Science and EngineeringOA

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

Environmental EngineeringEnvironmental Science
7
Article|25 citations·2022
Consumer participation in reusable resource allocation schemes: A theoretical conceptualization and empirical examination of Korean consumers
Miao Su, Qiwei Pang, Woohyoung Kim, Jinge Yao, Mingjie Fang
SJR Q1Resources Conservation and Recycling
MarketingBusiness, Management and Accounting
8
Article|25 citations·2024
Fuel consumption cost prediction model for ro-ro carriers: a machine learning-based application
Miao Su, Hee-Jeong Lee, Xueqin Wang, Sung-Hoon Bae
SJR Q1Maritime Policy & Management

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 using

Environmental EngineeringEnvironmental Science
9
Article|24 citations·2024
Trust (in)congruence, open innovation, and circular economy performance: Polynomial regression and response surface analyses
Mingjie Fang, Lanhui Cai, Kwangtae Park, Miao Su
SJR Q1Journal of Environmental Management
MarketingBusiness, Management and Accounting
10
Article|23 citations·2023
Increasing Couriers’ Job Satisfaction through Social-Sustainability Practices: Perceived Fairness and Psychological-Safety Perspectives
Qiwei Pang, Mingjie Fang, Lu Wang, Kena Mi, Miao Su
SJR Q1Behavioral SciencesOA

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

Economics and EconometricsEconomics, Econometrics and Finance
11
Article|19 citations·2024
Anthropomorphic last-mile robots and consumer intention: An empirical test under a theoretical framework
Shibo Xu, X Zhang, R Kim, Miao Su
SJR Q1Journal of Retailing and Consumer Services
Artificial IntelligenceComputer Science
12
Article|17 citations·2021
Online retailer cold chain physical distribution service quality and consumers: evidence from China during the COVID-19 pandemic
Miao Su, Jinjing Zhao, Guanqiu Qi, Junseung Kim, Keun-Sik Park
SJR Q1International Journal of Logistics Research and Applications

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

Economics and EconometricsEconomics, Econometrics and Finance
13
Article|15 citations·2025
Escaping regulation or embracing innovation? Substantive green Innovation's role in moderating environmental policy and outward foreign direct investment
Jinjing Zhao, Li Ai, Taewoo Roh, Miao Su
SJR Q1Energy
Economics and EconometricsEconomics, Econometrics and Finance
14
Article|15 citations·2024
Futures markets and the baltic dry index: A prediction study based on deep learning
Miao Su, Yufei Nie, Jiankun Li, Lin Yang, Woohyoung Kim
SJR Q1Research in International Business and Finance
FinanceEconomics, Econometrics and Finance
15
Article|15 citations·2022
Exploring the role of sustainable logistics service providers in multinational supply chain cooperation: An integrated theory-based perspective
Miao Su, Mingjie Fang, Qiwei Pang, Keun-Sik Park
SJR Q1Frontiers in Environmental ScienceOA

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

Strategy and ManagementBusiness, Management and Accounting

Research Areas

MarketingIndustrial and Manufacturing EngineeringStrategy and ManagementEconomics and EconometricsEnvironmental EngineeringGeneral Economics, Econometrics and Finance

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