Bo Fan

Orcid: 0000-0003-1468-0695

Affiliations:
  • Shanghai Jiao Tong University, School of International and Public Affairs, China


According to our database1, Bo Fan authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Disruption recovery for the pickup and delivery problem with time windows - A scenario-based approach for online food delivery.
Comput. Oper. Res., November, 2023

Does information technology-organizational resource interaction affect E-government performance? Moderating roles of environmental uncertainty.
Gov. Inf. Q., 2023

2021
Effect of an agency's resources on the implementation of open government data.
Inf. Manag., 2021

Understanding the key factors and configurational paths of the open government data performance: Based on fuzzy-set qualitative comparative analysis.
Gov. Inf. Q., 2021

Integrated recovery of aircraft and passengers with passengers' willingness under various itinerary disruption situations.
Comput. Ind. Eng., 2021

2019
Simulating an agent's decision-making process in black-box managerial environment: An estimation-and-optimisation approach.
J. Simulation, 2019

Embeddedness in cross-agency collaboration and emergency management capability: Evidence from Shanghai's urban contingency plans.
Gov. Inf. Q., 2019

2018
Exploring open government data capacity of government agency: Based on the resource-based theory.
Gov. Inf. Q., 2018

2017
Modelling and analysis of a symbiotic waste management system.
Int. J. Prod. Res., 2017

The moderating effect of external pressure on the relationship between internal organizational factors and the quality of open government data.
Gov. Inf. Q., 2017

Managing competitive municipal solid waste treatment systems: An agent-based approach.
Eur. J. Oper. Res., 2017

2016
A mean-shift algorithm for large-scale planar maximal covering location problems.
Eur. J. Oper. Res., 2016

Mining for spatio-temporal distribution rules of illegal dumping from large dataset.
Data Base, 2016


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