Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602611
Bo Wang, Wei Chen, Yan Zhu
The stock discussion board is becoming an important public forum because of its fast speed, wide influence, large amount of information and high group pertinence. The bloom in the stock discussion board exerts a positive influence on the stock market. This paper sets the amount of posting on stock discussion board as a proxy of information flows. And after the empirical analysis of sample data, we find that the number of postings is positively related to stock trading volume. This relation remains after the control of the fundamentals of individual stock, such as firm sizes, and the positive relation is significantly stronger among lower proportion of institutional shareholdings. The finding of positive correlation contributes to reducing the investors' liquidity risk and providing caution for the regulation of the stock discussion board.
{"title":"An empirical study of the relationship between the stock discussion board's posting numbers and stock trading volume","authors":"Bo Wang, Wei Chen, Yan Zhu","doi":"10.1109/ICSSSM.2013.6602611","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602611","url":null,"abstract":"The stock discussion board is becoming an important public forum because of its fast speed, wide influence, large amount of information and high group pertinence. The bloom in the stock discussion board exerts a positive influence on the stock market. This paper sets the amount of posting on stock discussion board as a proxy of information flows. And after the empirical analysis of sample data, we find that the number of postings is positively related to stock trading volume. This relation remains after the control of the fundamentals of individual stock, such as firm sizes, and the positive relation is significantly stronger among lower proportion of institutional shareholdings. The finding of positive correlation contributes to reducing the investors' liquidity risk and providing caution for the regulation of the stock discussion board.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"1156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117258161","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}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602622
Xiaoli Wu, Chang-hai Wan, Yong-Wu Zhou
For small and medium-sized retailer, the optimal-ordering policy is often limited by its cash flow. On one hand, many research assume that retailers have enough cash to obtain the optimal-order quantity; on the other hand, research that considers the retailer's capital constraint usually assumes the market demand is certain. In this paper, we study the two-period optimal ordering decisions of the retailer who has cash flow concern under stochastic market demand. Based on the newsvendor model, we solve the problem backward from the second period to the first period to maximize the retailer's cash level on hand in the second period, and then discuss the relationship between the optimal ordering and the initial capital level. We show that the retailer's optimal inventory level increases by the initial capital level. And the retailer's ordering policy is decided not only by his initial cash level, but also by the profit margin of the product. For smaller profit margin, the structure of the retailer's optimal order policy can be characterized by five intervals of the initial cash level; but for a larger profit margin, the optimal order policy can be characterized by three intervals.
{"title":"Research on Retailer's Ordering Decision under bank financing","authors":"Xiaoli Wu, Chang-hai Wan, Yong-Wu Zhou","doi":"10.1109/ICSSSM.2013.6602622","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602622","url":null,"abstract":"For small and medium-sized retailer, the optimal-ordering policy is often limited by its cash flow. On one hand, many research assume that retailers have enough cash to obtain the optimal-order quantity; on the other hand, research that considers the retailer's capital constraint usually assumes the market demand is certain. In this paper, we study the two-period optimal ordering decisions of the retailer who has cash flow concern under stochastic market demand. Based on the newsvendor model, we solve the problem backward from the second period to the first period to maximize the retailer's cash level on hand in the second period, and then discuss the relationship between the optimal ordering and the initial capital level. We show that the retailer's optimal inventory level increases by the initial capital level. And the retailer's ordering policy is decided not only by his initial cash level, but also by the profit margin of the product. For smaller profit margin, the structure of the retailer's optimal order policy can be characterized by five intervals of the initial cash level; but for a larger profit margin, the optimal order policy can be characterized by three intervals.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123195921","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}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602613
Minghui Lai, Xiaoqiang Cai
We consider a collaborative logistics problem where a group of shippers in a logistics network, each facing a time-varying deterministic demand, collaboratively make the production schedules together in order to reduce transportation cost by shipment consolidation; a common third-party logistics provider (3PL) is hired by them to carry the shipments, which offers incremental discounts to large-load shipments. First, we solve the centralized problem by studying the decomposed subproblems and characterize the optimal policy. Then, we show that the associated cooperative game has a nonempty core. Finally, we point out that the popular proportional rule allocation scheme is generally not in the core, except in some special cases.
{"title":"Shippers' Collaboration in Dynamic Lot Sizing Problem with Shipment Consolidation","authors":"Minghui Lai, Xiaoqiang Cai","doi":"10.1109/ICSSSM.2013.6602613","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602613","url":null,"abstract":"We consider a collaborative logistics problem where a group of shippers in a logistics network, each facing a time-varying deterministic demand, collaboratively make the production schedules together in order to reduce transportation cost by shipment consolidation; a common third-party logistics provider (3PL) is hired by them to carry the shipments, which offers incremental discounts to large-load shipments. First, we solve the centralized problem by studying the decomposed subproblems and characterize the optimal policy. Then, we show that the associated cooperative game has a nonempty core. Finally, we point out that the popular proportional rule allocation scheme is generally not in the core, except in some special cases.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123329054","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}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602583
Meng Yong-hong, Guo Hong-lian, Hu Bin
In order to analysis the influence factors of service innovation performance in commercial banks, this paper firstly set up an evaluation model of innovation performance in commercial banks, and used it in Industrial Commercial Bank of China(ICBC), The Bank of China (BC), China Construction Bank (CCB) and Bank of Communications, China(BCC). Secondly, sorted the influence factors as interior and exterior factors, therein, the exterior factors are supplier pushing, competitor driving and custom pulling, the interior factors are employee, investment and R&D institute. After collecting the relative data from memorabilia and annals of every bank, finally judged the influence degree of every factors through grey relational analysis theory. The result showed that the interior factors are more important than the exterior factors, the weightiness of factors from high to low are: R&D institute, employee, investment, custom pulling, supplier pushing, rival driving.
{"title":"Grey relational analysis on service innovation performance in commercial banks","authors":"Meng Yong-hong, Guo Hong-lian, Hu Bin","doi":"10.1109/ICSSSM.2013.6602583","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602583","url":null,"abstract":"In order to analysis the influence factors of service innovation performance in commercial banks, this paper firstly set up an evaluation model of innovation performance in commercial banks, and used it in Industrial Commercial Bank of China(ICBC), The Bank of China (BC), China Construction Bank (CCB) and Bank of Communications, China(BCC). Secondly, sorted the influence factors as interior and exterior factors, therein, the exterior factors are supplier pushing, competitor driving and custom pulling, the interior factors are employee, investment and R&D institute. After collecting the relative data from memorabilia and annals of every bank, finally judged the influence degree of every factors through grey relational analysis theory. The result showed that the interior factors are more important than the exterior factors, the weightiness of factors from high to low are: R&D institute, employee, investment, custom pulling, supplier pushing, rival driving.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129571883","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}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602640
Hanyang Luo, Zhini Li
Online reviews have been one of the important determinants to influence consumers' purchasing intention. This research builds a model to explore how online reviews influence consumers' purchasing intention. The empirical research results show that: Firstly, customers' perceived credibility of online reviews positively affects cognitive and emotional trust in online sellers, which results in purchasing intention. Secondly, except for website expertise, rationality and quantity of online review and trust disposition have significant influence on perceived credibility of online reviews. Thirdly, there are some gender differences in the influencing mechanism of online customer reviews.
{"title":"Empirical Research on the Effect of Online Review on Customers' Purchasing Intention","authors":"Hanyang Luo, Zhini Li","doi":"10.1109/ICSSSM.2013.6602640","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602640","url":null,"abstract":"Online reviews have been one of the important determinants to influence consumers' purchasing intention. This research builds a model to explore how online reviews influence consumers' purchasing intention. The empirical research results show that: Firstly, customers' perceived credibility of online reviews positively affects cognitive and emotional trust in online sellers, which results in purchasing intention. Secondly, except for website expertise, rationality and quantity of online review and trust disposition have significant influence on perceived credibility of online reviews. Thirdly, there are some gender differences in the influencing mechanism of online customer reviews.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128691890","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}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602603
R. Chompu-inwai, Rungthip Diaotrakun, T. Thaiupathump
The aim of this research was to develop a maintenance performance measurement model, based on three main steps, these being: (1) identify and screen factors affecting maintenance performance, (2) identify relevant key indicators for the measurement of maintenance performance, and (3) apply those key indicators developed as part of a manufacturing company case study. Using three reference models - the Cost of Poor Maintenance Model, the Malcolm Baldrige National Quality Award and the Context-Input-Process-Product assessment model, the first step was to identify a number of factors relevant to maintenance performance, as taken from previous research. The resulting 105 factors were a mixture of quantitative and qualitative factors, and were categorized according to the four perspectives within the Balances Scorecard, these being learning and growth, internal process, customer, and finance. A questionnaire used to screen those factors affecting maintenance performance was then distributed to stakeholders and maintenance staff at the case study manufacturer, which produces aircraft galleys and associated equipment. An analysis was conducted using descriptive statistics, and according to the study results, 20 factors were found to most affect maintenance performance. Once the factors had been identified, a second step was carried out - to identify the key maintenance performance measurement indicators, of which 6 were financial, 6 were customer related, 5 were related to the internal process and 3 indicators were linked to learning and growth. The final step was to employ the indicators obtained as part of a study of the case study manufacturer, in order to evaluate maintenance performance there. The results of the evaluation, once obtained, helped develop a framework that could be used to improve the maintenance system.
{"title":"Key indicators for maintenance performance measurement: The aircraft galley and associated equipment manufacturer case study","authors":"R. Chompu-inwai, Rungthip Diaotrakun, T. Thaiupathump","doi":"10.1109/ICSSSM.2013.6602603","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602603","url":null,"abstract":"The aim of this research was to develop a maintenance performance measurement model, based on three main steps, these being: (1) identify and screen factors affecting maintenance performance, (2) identify relevant key indicators for the measurement of maintenance performance, and (3) apply those key indicators developed as part of a manufacturing company case study. Using three reference models - the Cost of Poor Maintenance Model, the Malcolm Baldrige National Quality Award and the Context-Input-Process-Product assessment model, the first step was to identify a number of factors relevant to maintenance performance, as taken from previous research. The resulting 105 factors were a mixture of quantitative and qualitative factors, and were categorized according to the four perspectives within the Balances Scorecard, these being learning and growth, internal process, customer, and finance. A questionnaire used to screen those factors affecting maintenance performance was then distributed to stakeholders and maintenance staff at the case study manufacturer, which produces aircraft galleys and associated equipment. An analysis was conducted using descriptive statistics, and according to the study results, 20 factors were found to most affect maintenance performance. Once the factors had been identified, a second step was carried out - to identify the key maintenance performance measurement indicators, of which 6 were financial, 6 were customer related, 5 were related to the internal process and 3 indicators were linked to learning and growth. The final step was to employ the indicators obtained as part of a study of the case study manufacturer, in order to evaluate maintenance performance there. The results of the evaluation, once obtained, helped develop a framework that could be used to improve the maintenance system.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127944529","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}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602627
Jing Wang, Lijuan Cheng, Weiwei Han
A lot of companies apply online configuration interface to enable customers to customize their desired products. In such systems, default options are pre-specified for levels of product features by the manufacturer or dealer. This article analyzes how the default options will affect customer decisions in product customization process. The major goal of this study is to examine the effect of framing approach (no default, the highest defaults and the lowest defaults) on consumers' choice. A situational experiment in the context of laptops customization produces the following findings: (1) compared with the no default, customers tend to customize higher total price when they are treated with highest defaults framing and lower total price with the lowest defaults framing; (2) framing approach and product attribute types impose a significant interaction effect. In the situation with the highest defaults, the default options of essential attributes are more likely to be chosen than that of complementary attributes; in the lowest defaults framing, the default options of complementary attributes are more likely to be chosen; (3) compared with experts, novices will accept more default options, no matter with which framing. Based on these findings, this paper further discusses the theoretical significance and application value. The suggestions are offered to the enterprises about how to design effective products customization interface to create more profits.
{"title":"The effect of default option on customer decision behavior in product customization","authors":"Jing Wang, Lijuan Cheng, Weiwei Han","doi":"10.1109/ICSSSM.2013.6602627","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602627","url":null,"abstract":"A lot of companies apply online configuration interface to enable customers to customize their desired products. In such systems, default options are pre-specified for levels of product features by the manufacturer or dealer. This article analyzes how the default options will affect customer decisions in product customization process. The major goal of this study is to examine the effect of framing approach (no default, the highest defaults and the lowest defaults) on consumers' choice. A situational experiment in the context of laptops customization produces the following findings: (1) compared with the no default, customers tend to customize higher total price when they are treated with highest defaults framing and lower total price with the lowest defaults framing; (2) framing approach and product attribute types impose a significant interaction effect. In the situation with the highest defaults, the default options of essential attributes are more likely to be chosen than that of complementary attributes; in the lowest defaults framing, the default options of complementary attributes are more likely to be chosen; (3) compared with experts, novices will accept more default options, no matter with which framing. Based on these findings, this paper further discusses the theoretical significance and application value. The suggestions are offered to the enterprises about how to design effective products customization interface to create more profits.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121968580","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}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602489
Zhifeng Dai, Fenghua Wen
In this paper, based on the robust optimization techniques in Bertsimas and Sim[8], we propose a computationally tractable robust mean absolute deviation portfolio model. The purpose is to consider parameter uncertainty by controlling the impact of estimation errors on the portfolio strategy performance. The remarkable characteristic of the new method is that the robust optimization model retains the complexity of original portfolio optimization problem, i.e., the robust counterpart problem is still a linear programming problem. Empirical analysis with real market data to illustrate the behavior of the robust optimization model is efficient.
{"title":"Robust mean absolute deviation portfolio model under Affine Data Perturbation uncertainty set","authors":"Zhifeng Dai, Fenghua Wen","doi":"10.1109/ICSSSM.2013.6602489","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602489","url":null,"abstract":"In this paper, based on the robust optimization techniques in Bertsimas and Sim[8], we propose a computationally tractable robust mean absolute deviation portfolio model. The purpose is to consider parameter uncertainty by controlling the impact of estimation errors on the portfolio strategy performance. The remarkable characteristic of the new method is that the robust optimization model retains the complexity of original portfolio optimization problem, i.e., the robust counterpart problem is still a linear programming problem. Empirical analysis with real market data to illustrate the behavior of the robust optimization model is efficient.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"365 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126704278","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}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602632
Li Baoduo, Wang Li
Taking a buyer's point of view, this paper discusses characteristics of ongoing interaction in business services. Three types of business services are identified according to how they migrate from buyers to final customers: component-services, production-services and operation-services which can further be divided into management-services and task-services according to different customer inputs. For each of these types of services, possible characteristics of the ongoing interaction between supplier and buyer are proposed. Rules for identifying class attribute of business services are also developed in the paper.
{"title":"A migration-based classification to understand ongoing interaction of business services: research from buyer's point of view","authors":"Li Baoduo, Wang Li","doi":"10.1109/ICSSSM.2013.6602632","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602632","url":null,"abstract":"Taking a buyer's point of view, this paper discusses characteristics of ongoing interaction in business services. Three types of business services are identified according to how they migrate from buyers to final customers: component-services, production-services and operation-services which can further be divided into management-services and task-services according to different customer inputs. For each of these types of services, possible characteristics of the ongoing interaction between supplier and buyer are proposed. Rules for identifying class attribute of business services are also developed in the paper.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130666922","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}
Pub Date : 2013-07-17DOI: 10.1109/ICSSSM.2013.6602645
Lixian Jing, Chou Tingjui, Xiaodong Yu
The signals released by the online retailer can influence the consumers' trust in the retailer, and then, make an impact on consumer's purchase intention. This research will directly examine the effect of trust signals on online retailers' sales. The data are collected from Taobao (www.taobao.com), and contain 400 samples unit with product and four categories. With linear regression model, this research finds that: 1) there is correlation between the number of signals and product's sales; 2) among the 13 signals introduced into the model, signals which indicate ability of retailers, such as “level of store”, can significantly and positively influence product's sales, the influence of other kinds of signals is very little or even no; 3) price of product can significantly moderate the effect above; 4) compared with the most important factor which can influence the product's sales online - word of mouth (WOM), even though the influence is not as significant as WOM, trust signal can be another important indicator to affect sales.
网络零售商所释放的信号会影响消费者对零售商的信任，进而影响消费者的购买意愿。本研究将直接考察信任信号对网络零售商销售的影响。数据来源于淘宝(www.taobao.com)，包含400个样本，以产品为单位，分为四个类别。运用线性回归模型，本研究发现:1)信号数量与产品销量之间存在相关性;2)在模型中引入的13个信号中，“店铺级别”等表明零售商能力的信号对产品的销售有显著的正向影响，其他类型的信号影响很小甚至没有影响;3)产品价格能显著调节上述效应;4)与影响产品在线销售的最重要因素——口碑(word of mouth, WOM)相比，尽管其影响程度不如口碑，但信任信号是影响销售的另一个重要指标。
{"title":"The effect of trust signals on online retailer's sales: An example of Taobao","authors":"Lixian Jing, Chou Tingjui, Xiaodong Yu","doi":"10.1109/ICSSSM.2013.6602645","DOIUrl":"https://doi.org/10.1109/ICSSSM.2013.6602645","url":null,"abstract":"The signals released by the online retailer can influence the consumers' trust in the retailer, and then, make an impact on consumer's purchase intention. This research will directly examine the effect of trust signals on online retailers' sales. The data are collected from Taobao (www.taobao.com), and contain 400 samples unit with product and four categories. With linear regression model, this research finds that: 1) there is correlation between the number of signals and product's sales; 2) among the 13 signals introduced into the model, signals which indicate ability of retailers, such as “level of store”, can significantly and positively influence product's sales, the influence of other kinds of signals is very little or even no; 3) price of product can significantly moderate the effect above; 4) compared with the most important factor which can influence the product's sales online - word of mouth (WOM), even though the influence is not as significant as WOM, trust signal can be another important indicator to affect sales.","PeriodicalId":354195,"journal":{"name":"2013 10th International Conference on Service Systems and Service Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130855918","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}
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