The business analysis on the home-bias of E-commerce consumer behavior.
- Published in:
- Electronic Commerce Research, 2021, v. 21, n. 3, p. 855, doi. 10.1007/s10660-020-09431-2
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- Publication type:
- Article
Works matching IS 13895753 AND DT 2021 AND VI 21 AND IP 3
Results: 10
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2
An analysis of the effects of electronic commerce on the Korean economy using the CGE model.
- Published in:
- Electronic Commerce Research, 2021, v. 21, n. 3, p. 831, doi. 10.1007/s10660-019-09358-3
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- Publication type:
- Article
3
Residual contagion in emerging markets: 'herd' and 'alarm' effects in informatization.
- Published in:
- Electronic Commerce Research, 2021, v. 21, n. 3, p. 787, doi. 10.1007/s10660-019-09350-x
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- Publication type:
- Article
4
Does the threshold of information disclosure improve corporate governance? Evidence from China.
- Published in:
- Electronic Commerce Research, 2021, v. 21, n. 3, p. 747, doi. 10.1007/s10660-019-09351-w
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- Publication type:
- Article
5
A novel trust recommendation model for mobile social network based on user motivation.
- Published in:
- Electronic Commerce Research, 2021, v. 21, n. 3, p. 809, doi. 10.1007/s10660-019-09344-9
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- Publication type:
- Article
6
Assessing hotel decision-making of disabled guests: satisfaction correlation study between online comments' credibility and perceived risk.
- Published in:
- Electronic Commerce Research, 2021, v. 21, n. 3, p. 767, doi. 10.1007/s10660-019-09343-w
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- Publication type:
- Article
7
Scenario based e-commerce recommendation algorithm based on customer interest in Internet of things environment.
- Published in:
- Electronic Commerce Research, 2021, v. 21, n. 3, p. 689, doi. 10.1007/s10660-019-09339-6
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- Publication type:
- Article
8
Demand forecasting model development through big data analysis.
- Published in:
- Electronic Commerce Research, 2021, v. 21, n. 3, p. 727, doi. 10.1007/s10660-019-09337-8
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- Publication type:
- Article
9
Recommending personalized events based on user preference analysis in event based social networks.
- Published in:
- Electronic Commerce Research, 2021, v. 21, n. 3, p. 707, doi. 10.1007/s10660-019-09335-w
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- Publication type:
- Article
10
Hot topic prediction considering influence and expertise in social media.
- Published in:
- Electronic Commerce Research, 2021, v. 21, n. 3, p. 671, doi. 10.1007/s10660-018-09327-2
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- Publication type:
- Article