苏州市职业大学学报
囌州市職業大學學報
소주시직업대학학보
JOURNAL OF SUZHOU VOCATIONAL UNIVERSITY
2014年
1期
47-51
,共5页
在线顾客满意%共词分析%聚类分析%战略坐标图
在線顧客滿意%共詞分析%聚類分析%戰略坐標圖
재선고객만의%공사분석%취류분석%전략좌표도
online customer satisfaction%co-word analysis%cluster analysis%strategic diagram
以Web of Science为数据源,采用聚类与战略坐标图对在线顾客满意领域研究主题进行分析。结果表明:相关研究主要集中在14个主题领域;在线顾客满意前因、网络银行顾客忠诚形成机制、网络零售顾客重购意向、电子服务质量的维度及后果、信息系统用户持续使用意向是热点研究领域;e满意、e忠诚成为较为成熟的研究领域;服务补救、自助服务技术、个性化推荐系统、青少年网络游戏态度及行为、人机交互技术可用性、新型信息系统用户满意、患者在线满意调查、电子商务营销战略处于研究边缘领域;社会网络口碑环境下的顾客满意与忠诚机制是未来的研究趋势。
以Web of Science為數據源,採用聚類與戰略坐標圖對在線顧客滿意領域研究主題進行分析。結果錶明:相關研究主要集中在14箇主題領域;在線顧客滿意前因、網絡銀行顧客忠誠形成機製、網絡零售顧客重購意嚮、電子服務質量的維度及後果、信息繫統用戶持續使用意嚮是熱點研究領域;e滿意、e忠誠成為較為成熟的研究領域;服務補救、自助服務技術、箇性化推薦繫統、青少年網絡遊戲態度及行為、人機交互技術可用性、新型信息繫統用戶滿意、患者在線滿意調查、電子商務營銷戰略處于研究邊緣領域;社會網絡口碑環境下的顧客滿意與忠誠機製是未來的研究趨勢。
이Web of Science위수거원,채용취류여전략좌표도대재선고객만의영역연구주제진행분석。결과표명:상관연구주요집중재14개주제영역;재선고객만의전인、망락은행고객충성형성궤제、망락령수고객중구의향、전자복무질량적유도급후과、신식계통용호지속사용의향시열점연구영역;e만의、e충성성위교위성숙적연구영역;복무보구、자조복무기술、개성화추천계통、청소년망락유희태도급행위、인궤교호기술가용성、신형신식계통용호만의、환자재선만의조사、전자상무영소전략처우연구변연영역;사회망락구비배경하적고객만의여충성궤제시미래적연구추세。
Taking the citation database Web of Science as data source,this paper gives a comprehensive analysis on the researches of International online customer satisfaction by using cluster analysis and strategic diagram. The results show that the relevant research themes can be divided into 14 fields;the core research themes are online customer satisfaction antecedents,online banking customer loyalty formation mechanism,online retailing customer repurchase intention,dimensions and consequences of electronic service quality,and the continuance usage intention of Information system users;researches on e-satisfaction and e-loyalty are mature;service recovery,self-service technology,personalized recommendation system,youth attitudes and behaviors of online games,the availability of human-computer interaction technology,online system user satisfaction,patient satisfaction surveys online,e-commerce marketing strategy are at are locate on the edge of research network;customer satisfaction and loyalty in the setting of social network word of mouth are the future research trends.