Institution
College of Management and Economics
About: College of Management and Economics is a based out in . It is known for research contribution in the topics: Supply chain & Stock market. The organization has 2184 authors who have published 2193 publications receiving 28830 citations.
Topics: Supply chain, Stock market, Investment (macroeconomics), Stackelberg competition, Supply chain management
Papers published on a yearly basis
Papers
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TL;DR: Findings can guide efforts to preserve and promote child health during the COVID-19 outbreak and crisis recovery period, and to inform strategies to mitigate potential harm during future pandemics.
Abstract: Healthy childhood development is fostered through sufficient physical activity (PA; including time outdoors), limiting sedentary behaviours (SB), and adequate sleep; collectively known as movement behaviours. Though the COVID-19 virus outbreak has changed the daily lives of children and youth, it is unknown to what extent related restrictions may compromise the ability to play and meet movement behaviour recommendations. This secondary data analysis examined the immediate impacts of COVID-19 restrictions on movement and play behaviours in children and youth. A national sample of Canadian parents (n = 1472) of children (5–11 years) or youth (12–17 years) (54% girls) completed an online survey that assessed immediate changes in child movement and play behaviours during the COVID-19 outbreak. Behaviours included PA and play, SB, and sleep. Family demographics and parental factors that may influence movement behaviours were assessed. Correlations between behaviours and demographic and parental factors were determined. For open-ended questions, word frequency distributions were reported. Only 4.8% (2.8% girls, 6.5% boys) of children and 0.6% (0.8% girls, 0.5% boys) of youth were meeting combined movement behaviour guidelines during COVID-19 restrictions. Children and youth had lower PA levels, less outside time, higher SB (including leisure screen time), and more sleep during the outbreak. Parental encouragement and support, parental engagement in PA, and family dog ownership were positively associated with healthy movement behaviours. Although families spent less time in PA and more time in SB, several parents reported adopting new hobbies or accessing new resources. This study provides evidence of immediate collateral consequences of the COVID-19 outbreak, demonstrating an adverse impact on the movement and play behaviours of Canadian children and youth. These findings can guide efforts to preserve and promote child health during the COVID-19 outbreak and crisis recovery period, and to inform strategies to mitigate potential harm during future pandemics.
644 citations
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TL;DR: In this paper, the authors examined a dual-channel supply chain in which the manufacturer makes green products for the environmental conscious and discussed the pricing and greening strategies for the chain members in both centralized and decentralized cases under a consistent pricing strategy.
399 citations
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TL;DR: In this paper, the authors examined the CO2 EKC hypothesis of China using a spatial panel data model to avoid the coefficient estimation error covering the period of 1997-2012, and a comparative analysis of the turning points between the non-spatial panel model and spatial panel model is conducted.
327 citations
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TL;DR: In this paper, the influence of direct experience of an automated vehicle (AV, Level 3) and explaining and predicting public acceptance of AVs through a psychological model was analyzed. But the authors considered the last two determinants, namely perceived usefulness (PU), perceived ease of use (PEU), trust related to SDVs, and perceived safety (PS) while riding in our AV.
Abstract: This field study aims at understanding the influence of direct experience of an automated vehicle (AV, Level 3) and explaining and predicting public acceptance of AVs through a psychological model. The model includes behavioral intention (BI) to use self-driving vehicles (SDVs, Level 5), willingness to re-ride (WTR) in our AV (Level 3), and their four potential determinants, namely perceived usefulness (PU), perceived ease of use (PEU), trust related to SDVs, and perceived safety (PS) while riding in our AV. The last two determinants are largely ignored, but we consider them critical in the context of AVs. Three-hundred students were invited as participants (passengers) to experience the AV. The trust, PU, PEU, and BI of the participants were recorded prior to their experiencing the AV; after this experience, all the constructs of the psychological model were recorded. The participants’ experience with the AV was found to increase their trust, PU and PEU (but not BI), the consistency between PU/PEU and BI, and the explanatory power of BI. The model explained 55% of the variance in BI and 40% in WTR. PU, trust, and PS were found to be steady and direct predictors of both the acceptance measures; PEU predicted BI only after the participants’ AV experience. Mediation analysis showed that trust also can indirectly affect AV acceptance through other determinants. Out-of-sample prediction confirmed the model’s predictive capability for AV acceptance. The theoretical contributions and practical implications of the findings are discussed.
297 citations
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TL;DR: The results show that with dominant power shifting from the manufacturer to the retailer, the retailer's profit always increases and the manufacturer may also benefit when the demand expansion effectiveness of collection effort is large enough.
255 citations
Authors
Showing all 2184 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jian Zuo | 60 | 526 | 12698 |
Ying Fan | 54 | 236 | 10378 |
Justin Tan | 52 | 118 | 10076 |
ZhongXiang Zhang | 45 | 271 | 6159 |
Ning Zhu | 43 | 156 | 8509 |
Wenjun Wu | 39 | 120 | 5485 |
Thanasis Stengos | 38 | 249 | 6053 |
Baofeng Huo | 37 | 99 | 7153 |
Patrick X.W. Zou | 35 | 177 | 4205 |
Yejun Xu | 34 | 111 | 3492 |
Yanan Wang | 34 | 224 | 4108 |
Yongjian Li | 32 | 104 | 3017 |
Yi Wu | 31 | 149 | 2775 |
Wansheng Tang | 31 | 192 | 3190 |
Xi Zhang | 30 | 153 | 2418 |