期刊：
JOURNAL OF ELECTRONIC COMMERCE RESEARCH,2020年21(2):75-95 ISSN：1526-6133
通讯作者：
Wang, Yaoyu
作者机构：
[Li, Xinchen] Hengyang Normal Univ, Coll Econ & Management, Hengyang, Hunan, Peoples R China.;[Liao, Qinyu] Univ Texas Rio Grande Valley, Robert C Vackar Coll Business & Entrepreneurship, Brownville, TX USA.;[Luo, Xin (Robert)] Univ New Mexico, Anderson Sch Management, Albuquerque, NM 87131 USA.;[Wang, Yaoyu] Soochow Univ, Dongwu Sch Business, Suzhou, Jiangsu, Peoples R China.
关键词：
Social media;Cognitive reputation;Affective reputation;Interaction Experience;Utilitarian value;Hedonic value
摘要：
E-commerce enterprises use different social media channels to build their online reputation through customers' rich interaction experiences, but no study has differentiated the individual impact of consumer-to-consumer and business-to-consumer interaction features on e-commerce online reputations. This study investigates the linkage between five interaction characteristics, consumers' perceived values, and e-commerce online reputations. The results of our study show that only the perceived hedonic value has a significant influence on e-commerce online reputations. Perceived control, reciprocity, and responsiveness have a positive and significant influence on both perceived utilitarian value and perceived hedonic value. Sociability only shows a significant and negative influence on perceived utilitarian value. Personalization has a significant and positive influence on utilitarian value only. Perceived hedonic value mediates the influence of three interaction features (perceived control, reciprocity, and responsiveness) on both e-commerce cognitive and affective reputations. The implications of the study for research and practice are discussed.
期刊：
Journal of Advanced Transportation,2020年2020 ISSN：0197-6729
通讯作者：
Fu, Zhuo
作者机构：
[Tang, Qiong; Fu, Zhuo; Zhang, Dezhi] Cent South Univ, Sch Traff & Transportat Engn, Changsha 410075, Peoples R China.;[Tang, Qiong] Hengyang Normal Univ, Coll Econ & Management, Hengyang 421002, Peoples R China.;[Tang, Qiong; Fu, Zhuo; Zhang, Dezhi] Smart Transport Key Lab Hunan Prov, Changsha 410075, Peoples R China.;[Qiu, Meng] Chinese Univ Hong Kong, Inst Data & Decis Analyt, Shenzhen 518172, Peoples R China.;[Li, Minyi] RMIT Univ, Sch Sci, Melbourne, Vic 3000, Australia.
通讯机构：
[Fu, Zhuo] C;[Fu, Zhuo] S;Cent South Univ, Sch Traff & Transportat Engn, Changsha 410075, Peoples R China.;Smart Transport Key Lab Hunan Prov, Changsha 410075, Peoples R China.
摘要：
In this paper, a single-vehicle static partial repositioning problem (SPRP) is investigated, which distinguishes the user dissatisfaction generated by different stations. The overall objective of the SPRP is to minimize the weighted sum of the total operational time and the total absolute deviation from the target number of bikes at all stations. An iterated local search is developed to solve this problem. A novel loading and unloading quantity adjustment operator is proposed to further improve the quality of the solution. Experiments are conducted on a set of instances from 30 to 300 stations to demonstrate the effectiveness of the proposed customized solution algorithm as well as the adjustment operator. Using a small example, this paper also reveals that the unit penalty cost has an effect on the repositioning strategies.
