Wen-Kuei Wu, Shu-Chin Huang, Hsiao-Chung Wu, M. Shyu
Our study aims to investigate how a buyer's perceived uncertainty strengthens the buyer-seller swift guanxi and explore the role of swift guanxi in facilitating product experience and repurchase intention in online commerce context. This study conducts a questionnaire survey and utilizes the Partial Least Square (PLS) path model to analyze the collected data. Based on the 332 responses, the result reveals that two of swift guanxi facets—reciprocal favours and relationship harmony are positively related to the buyer's product experience and repurchase intention. The product experience and reciprocal favours are the major facilitators of repurchase intention. Perceived uncertainty can strengthen swift guanxi, and reciprocal favours and relationship harmony do positively mediate the relationship of perceived uncertainty—product experience and uncertainty—repurchase intention. Accordingly, we provide several theoretical and practical implications and future research directions.
{"title":"The Mediating Role of swift Guanxi Among Buyer'S Perceived Uncertainty, Purchase Experience and Repurchase Intention: An Analysis of C2C Buyer's Perceptions in Taiwan","authors":"Wen-Kuei Wu, Shu-Chin Huang, Hsiao-Chung Wu, M. Shyu","doi":"10.1145/3460179.3460187","DOIUrl":"https://doi.org/10.1145/3460179.3460187","url":null,"abstract":"Our study aims to investigate how a buyer's perceived uncertainty strengthens the buyer-seller swift guanxi and explore the role of swift guanxi in facilitating product experience and repurchase intention in online commerce context. This study conducts a questionnaire survey and utilizes the Partial Least Square (PLS) path model to analyze the collected data. Based on the 332 responses, the result reveals that two of swift guanxi facets—reciprocal favours and relationship harmony are positively related to the buyer's product experience and repurchase intention. The product experience and reciprocal favours are the major facilitators of repurchase intention. Perceived uncertainty can strengthen swift guanxi, and reciprocal favours and relationship harmony do positively mediate the relationship of perceived uncertainty—product experience and uncertainty—repurchase intention. Accordingly, we provide several theoretical and practical implications and future research directions.","PeriodicalId":193744,"journal":{"name":"Proceedings of the 2021 6th International Conference on Intelligent Information Technology","volume":"313 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133825590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Named entity recognition (NER) in natural language processing (NLP) considers the problem of identifying a sequence of words in a sentence text that mentions a predefined type of object (entity), e.g., person, organization, location, or time. NER methods are keys in extracting knowledge from texts as entities are fundamental for attaching entity properties or entity relations. However, NER for texts in Chinese is trickier due to that some auxiliary words maybe dropped in a sentence, which is a common phenomenon in Chinese writing for brevity. A usually dropped Chinese word is ‘的’ (often functions as the word ‘of’ in English). One obvious effect of this kind of omitting is bring difficulty in identifying the sub-entities (or nested named entities) contained in a named entity. Previous works considers the effected of recovering dropped pronouns in the Chinese translation task. Here we proposed a rule-based method to rover the auxiliary word ‘的’ for Chinese text, and study the effect of this recovery on the performance of a state-of-the-art Chinese NER method FLAT. Experimental results on Weibo-NER and MSRA-NER datasets shows that our method improves on FLAT. This study thus highlights the promising of recovering more types of dropped words for Chinese NER problem.
{"title":"On the Utility of Recovering Dropped Words in Chinese Named Entity Recognition","authors":"Dunbo Cai, Zhiguo Huang, Ling Qian","doi":"10.1145/3460179.3460189","DOIUrl":"https://doi.org/10.1145/3460179.3460189","url":null,"abstract":"Named entity recognition (NER) in natural language processing (NLP) considers the problem of identifying a sequence of words in a sentence text that mentions a predefined type of object (entity), e.g., person, organization, location, or time. NER methods are keys in extracting knowledge from texts as entities are fundamental for attaching entity properties or entity relations. However, NER for texts in Chinese is trickier due to that some auxiliary words maybe dropped in a sentence, which is a common phenomenon in Chinese writing for brevity. A usually dropped Chinese word is ‘的’ (often functions as the word ‘of’ in English). One obvious effect of this kind of omitting is bring difficulty in identifying the sub-entities (or nested named entities) contained in a named entity. Previous works considers the effected of recovering dropped pronouns in the Chinese translation task. Here we proposed a rule-based method to rover the auxiliary word ‘的’ for Chinese text, and study the effect of this recovery on the performance of a state-of-the-art Chinese NER method FLAT. Experimental results on Weibo-NER and MSRA-NER datasets shows that our method improves on FLAT. This study thus highlights the promising of recovering more types of dropped words for Chinese NER problem.","PeriodicalId":193744,"journal":{"name":"Proceedings of the 2021 6th International Conference on Intelligent Information Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132316871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：