Jingen Zhou- https://orcid.org/0000-0001-9091-5535
- Professor (Assistant) at Kedge Business School
Jingen Zhou
- https://orcid.org/0000-0001-9091-5535
- Professor (Assistant) at Kedge Business School
Shipping, Cruise Shipping, Maritime, Transportation, Supply Chain Risk Management, Logistics, AIS, Collision Avoidance
About
16
Publications
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Introduction
Dr. Jingen ZHOU is an Assistant Professor at KEDGE Business School. He holds a PhD in Management and Commerce. His research interests include supply chain risk management, cruise shipping, supply chain management, maritime logistics, ship collision avoidance technology, AIS data analysis, and climate change impact. He serves as a reviewer for a couple of leading peer-reviewed journals and collaborates with international industry partners and academic colleagues.
Current institution
Publications
Publications (16)
The coronavirus disease 2019 (COVID-19) pandemic has had an unprecedented impact on the entire cruise industry. This research aims to provide an understanding of the impacts of COVID-19 on the cruise industry from various stakeholders and recommend corresponding post-COVID recovery strategies for building a sustainable cruise industry. By conductin...
The cruise sector is one of the most characteristic examples of globalised business. This characteristic makes the cruise supply chain (CSC) likely to expose to a variety of risks, such as the geopolitical environment and inclement weather, which requires an urgent need for risk mitigation strategies. A review of the literature revealed that supply...
The existing literature on cruise-related risks is mainly from an individual organisation's
perspective, while it is a pressing need to conduct risk analysis from a supply chain
perspective considering the various risks along the chain and the fact that a risk faced
by one player may also affect other players in the chain. Understanding such, this...
To address the issue of precisely identifying fishing grounds in vast sea areas, this study proposes a framework that includes a fishing behavior detection model and a fishing ground identification model, considering vessels of unknown types. The absence of information regarding unknown vessels can result in incomplete identification of fishing gro...
The cruise shipping market has been growing dynamically in the past two decades. This study presented an empirical analysis of the Asian cruise shipping network (ACSN) in which the nodes are cruise ports and links are cruise routes connecting the ports, using complex network analysis. An analysis of 245 voyages operated by 16 cruise lines between 2...
River cruise shipping is a tourism sectors which tends to have rapid growth. This study analyzes the structural properties and connectivity of the river cruise network and cruise ports by using complex network analysis. By analyzing 257 river cruise voyages operated by 5 cruise lines in Southeast Asia, this study shows that the network consists of...
The increased frequency and severe consequences of risks in the cruise industry have attracted increasing attention from both academics and practitioners, especially after the 2012 ‘Costa Concordia’ disaster and the 2020 coronavirus outbreak on the ‘Diamond Princess’. Although the literature on risk studies associated with the cruise industry and s...
Purpose
The cruise industry has witnessed steady growth, with passenger volume increasing from 17.8 million in 2009 to 30 million in 2019. In the context of global competition and an uncertain business environment, competition in business has changed dramatically from battles of “firm versus firm” to “supply chain versus supply chain”. Hence, the p...
The increased frequency and severe consequences of risks in the cruise industry have attracted increasing attention from both academics and practitioners, especially following the 2012 Costa Concordia disaster and the 2020 coronavirus outbreak on the Diamond Princess. The consequence of a risk faced by one or more supply chain (SC) players may also...
The cruise industry has witnessed a steady growth, with passenger volume increasingfrom 17.8 million in 2009 to around 30 million in 2019. In the context of globalcompetition and an uncertain business environment, competition in business haschanged dramatically from battles of “firm versus firm” to “supply chain versus supplychain”, which, however,...
Questions
Question (1)
I am doing a risk management study while collecting both quantitative data and qualitative data via one instrument-interview. This one interview instrument contains qualitative data analysing from content analysis and quantitative data by asking participants to assess risk directly. As risk management includes risk assessment and proposing risk mitigation strategies, qualitative data intends to answer research question related to risk mitigation strategies, while quantitative data aims to solve research question regarding to risk assessment.
The problem is that I am confused about whether this instrument should be regarded as convergent mixed methods or embedded mixed method.
With only one instrument, can it be treated as convergent mixed methods?
Or if this is an embedded mixed method, neither the quantitative data nor the qualitative data can be regarded as supplement data to the other. In the other way, it is difficult to say one research question is more important than the other as qualitative data and quantitative data aims to solve different research questions. As they are of equal importance, this research method does not seem that it belongs to embedded mixed method.
Does anyone know this kind of risk management with one instrument is suitable to which kind of mixed methods?
Looking forward to your kindly answers.
