Yusheng Zhou

ORCID: 0000-0002-8795-3423
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About
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Research Areas
  • Digital Marketing and Social Media
  • Maritime Ports and Logistics
  • Risk and Safety Analysis
  • Technology Adoption and User Behaviour
  • Maritime Transport Emissions and Efficiency
  • Knowledge Management and Sharing
  • Maritime Navigation and Safety
  • Sustainable Supply Chain Management
  • Consumer Retail Behavior Studies
  • Economic Zones and Regional Development
  • Consumer Behavior in Brand Consumption and Identification
  • Blockchain Technology Applications and Security
  • Expert finding and Q&A systems
  • Marine and Offshore Engineering Studies
  • International Business and FDI
  • Organizational and Employee Performance
  • Evaluation Methods in Various Fields
  • Medical Coding and Health Information
  • Supply Chain Resilience and Risk Management
  • Cyberloafing and Workplace Behavior
  • Electric Vehicles and Infrastructure
  • Human Mobility and Location-Based Analysis
  • Remote Sensing and Land Use
  • Digital Communication and Language
  • Innovation and Socioeconomic Development

Nanyang Technological University
2020-2023

Nanjing University
2004-2023

iQIYI (China)
2020

Zhejiang University of Finance and Economics
2019

Purpose As retailers have increasingly embraced an omnichannel retailing strategy, explaining and predicting the helpfulness of online review should consider both online-based offline-based reviews. The paper aims to discuss this issue. Design/methodology/approach Based on signaling theory, study intends examine impacts review-related reviewer-related signals in context retailing. proposed research model corresponding hypotheses were tested by using negative binomial regression. Findings...

10.1108/imds-10-2018-0450 article EN Industrial Management & Data Systems 2019-08-19

Understanding what factors make a helpful online review is critical to increase sales and drive revenue for retailers. This paper examined the impacts of both reviews' numerical textual characteristics on helpfulness across three different types including comparative, suggestive, regular reviews. With an analysis 30 338 product reviews collected from http://Amazon.com, results indicated that effects are stronger than those suggestive comparative The text sentiment more significant when...

10.1109/access.2019.2901472 article EN cc-by-nc-nd IEEE Access 2019-01-01

10.1016/j.trd.2023.103999 article EN Transportation Research Part D Transport and Environment 2023-12-10
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