Pub Date : 2019-07-13DOI: 10.1109/ICSSSM.2019.8887838
Chen Hai, Jin Xiaojian, Xie Ke, Zhang Bin
The offshore structure installation is full of risks. Once the accident, the consequence is very serious. How to manage offshore operational risks is the project manager's major concern. After a large number of offshore operation practice, China National Offshore Oil Corporation (CNOOC) puts forward a risk classification control method to ensure the offshore operations safely and efficiently. This paper gives a description of one case: a dynamic positioning topside floatover operation of Huizhou 25-8 oilfield project.
{"title":"The Application of Offshore Operation Risk Classification Management Method","authors":"Chen Hai, Jin Xiaojian, Xie Ke, Zhang Bin","doi":"10.1109/ICSSSM.2019.8887838","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887838","url":null,"abstract":"The offshore structure installation is full of risks. Once the accident, the consequence is very serious. How to manage offshore operational risks is the project manager's major concern. After a large number of offshore operation practice, China National Offshore Oil Corporation (CNOOC) puts forward a risk classification control method to ensure the offshore operations safely and efficiently. This paper gives a description of one case: a dynamic positioning topside floatover operation of Huizhou 25-8 oilfield project.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115647614","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 : 2019-07-13DOI: 10.1109/ICSSSM.2019.8887704
Pradnya Paramita Pramono, I. Surjandari, Enrico Laoh
In order to cope with the competitive environment related to beauty industry sector in Indonesia, companies need to manage and evaluate customer interactions by enhancing Customer Relationship Management (CRM). This study aims to specify customer segment that has similar lifetime value with clustering method, hence company can conduct appropriate strategies to the right segment. Two-stage clustering method for segmenting customers is proposed in this study. Ward's method is used for choosing an initial number of cluster and K-Means method to perform clustering analysis. Two approaches using LRFM (Length, Recency, Frequency, Monetary) model and extended model called LRFM - Average Item (AI) variables in clustering process are compared by validity index to obtain the best result for customer segmentation. The result shows that adding new variable Average Item in LRFM model have no significant difference or better results in clustering. The ranking process based on Customer Lifetime Value (CLV) score is conducted using weighted LRFM model variables. Final weight score for all variables are obtained from Fuzzy AHP method. In summary, company also get several inferences such as customer characteristics of high and less potential customers. It can be a guideline for making the sale and marketing strategies.
为了应对与印尼美容行业部门相关的竞争环境，公司需要通过加强客户关系管理(CRM)来管理和评估客户互动。本研究旨在通过聚类方法指定具有相似终身价值的客户细分市场，从而公司可以对正确的细分市场进行适当的策略。本文提出了一种两阶段聚类的客户细分方法。采用Ward方法选择初始聚类数，采用K-Means方法进行聚类分析。通过有效性指标比较了在聚类过程中使用LRFM (Length, Recency, Frequency, Monetary)模型和扩展模型(LRFM - Average Item (AI)变量)的两种方法，得到了客户细分的最佳结果。结果表明，在LRFM模型中加入新变量Average Item对聚类结果没有显著性影响或有更好的聚类效果。基于客户终身价值(CLV)评分的排序过程使用加权LRFM模型变量进行。采用模糊层次分析法得到各变量的最终权重得分。综上所述，公司还得到了高潜在客户和低潜在客户的客户特征等几点推论。它可以作为制定销售和营销策略的指导方针。
{"title":"Estimating Customer Segmentation based on Customer Lifetime Value Using Two-Stage Clustering Method","authors":"Pradnya Paramita Pramono, I. Surjandari, Enrico Laoh","doi":"10.1109/ICSSSM.2019.8887704","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887704","url":null,"abstract":"In order to cope with the competitive environment related to beauty industry sector in Indonesia, companies need to manage and evaluate customer interactions by enhancing Customer Relationship Management (CRM). This study aims to specify customer segment that has similar lifetime value with clustering method, hence company can conduct appropriate strategies to the right segment. Two-stage clustering method for segmenting customers is proposed in this study. Ward's method is used for choosing an initial number of cluster and K-Means method to perform clustering analysis. Two approaches using LRFM (Length, Recency, Frequency, Monetary) model and extended model called LRFM - Average Item (AI) variables in clustering process are compared by validity index to obtain the best result for customer segmentation. The result shows that adding new variable Average Item in LRFM model have no significant difference or better results in clustering. The ranking process based on Customer Lifetime Value (CLV) score is conducted using weighted LRFM model variables. Final weight score for all variables are obtained from Fuzzy AHP method. In summary, company also get several inferences such as customer characteristics of high and less potential customers. It can be a guideline for making the sale and marketing strategies.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121039597","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 : 2019-07-13DOI: 10.1109/ICSSSM.2019.8887741
Dandan Li, Yushi Liu, Shiying Li
This study aimed to reveal the underlying mechanism of parental behaviors influencing children's psychological course, which further affects consumption performance. Interviews with Chinese parents and children were conducted. Based on the grounded theory, this study analyzed the data and figured out that parental intervention triggers children to regulate their motivations followed then by different performances of consumer socialization.
{"title":"Understanding how parents affect children's consumer socialization? An analysis based on grounded theory","authors":"Dandan Li, Yushi Liu, Shiying Li","doi":"10.1109/ICSSSM.2019.8887741","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887741","url":null,"abstract":"This study aimed to reveal the underlying mechanism of parental behaviors influencing children's psychological course, which further affects consumption performance. Interviews with Chinese parents and children were conducted. Based on the grounded theory, this study analyzed the data and figured out that parental intervention triggers children to regulate their motivations followed then by different performances of consumer socialization.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128779232","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}
Gamification refers to the inclusion of game design elements into non-game environment, which has been widely used in medical health, education and training, marketing activities and other aspects, and can promote users' willingness to continue to participate. At the same time, as an important marketing tool for enterprises, virtual community undertakes the functions of building communication and interaction platform, sharing and releasing information, and improving brand loyalty. With the intensification of virtual community competition among brands, how to improve the users' willingness to continue to participate is the key to the development of virtual community of brands. Firstly, based on the relevant research, this paper constructs a relationship model of gamification elements of virtual community on the intention of continuous use based on the theory of expectation confirmation and Expectation Confirmation Model of IS Continuance (ECM-ISC). Then we collected data through questionnaires, tested the reliability and validity, and used Smartpls to test the model and hypothesis. The results show that, two gamification elements (social and immersive elements) positively influence expectation confirmation and perceived usefulness, which in turn, positively affect user's satisfaction and continuance intention. At the end of this paper, the paper proposes some reasonable suggestions contributing to the development of virtual community and gamification, as well as indicating the direction of future research.
{"title":"Research on the Influence Mechanism of Gamification Elements on Users' Willingness to Continue Using in Interest-based Virtual Communities ‐‐ Based on ECM-ISC Model","authors":"Yuanyue Feng, Zhenwei Liu, Weijian Qian, Minli Guo, Jiali Chen","doi":"10.1109/ICSSSM.2019.8887645","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887645","url":null,"abstract":"Gamification refers to the inclusion of game design elements into non-game environment, which has been widely used in medical health, education and training, marketing activities and other aspects, and can promote users' willingness to continue to participate. At the same time, as an important marketing tool for enterprises, virtual community undertakes the functions of building communication and interaction platform, sharing and releasing information, and improving brand loyalty. With the intensification of virtual community competition among brands, how to improve the users' willingness to continue to participate is the key to the development of virtual community of brands. Firstly, based on the relevant research, this paper constructs a relationship model of gamification elements of virtual community on the intention of continuous use based on the theory of expectation confirmation and Expectation Confirmation Model of IS Continuance (ECM-ISC). Then we collected data through questionnaires, tested the reliability and validity, and used Smartpls to test the model and hypothesis. The results show that, two gamification elements (social and immersive elements) positively influence expectation confirmation and perceived usefulness, which in turn, positively affect user's satisfaction and continuance intention. At the end of this paper, the paper proposes some reasonable suggestions contributing to the development of virtual community and gamification, as well as indicating the direction of future research.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114359853","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 : 2019-07-13DOI: 10.1109/ICSSSM.2019.8887668
Thanh Quynh Le, Y. Kohda, V. Huynh
Today, in the mass customization production environment, clothing companies face even more difficulties, such as the rapid and uncertain changes in customer requirements and their impacts on production time, cost, and quality of product. In order to survive and develop in such a competitive environment, apparel companies should clearly identify customers' demands in the development of new clothing products. Understanding customer demands and their purchasing process is the base knowledge required to ensure successful marketing activities. However, customers' demands and behavior are affected by many factors, some of which conflict with each other in the production process. Therefore, an understanding of consumers' critical evaluative criteria when purchasing clothing products is one of the most important issues in the new product development process. The purpose of this paper is to determine the clothing product attributes that are of greatest value to customers and predict consumer preferences for attributes by applying the conjoint analysis method. The final results showed that five criteria have the most influence on shopping customers' behavior, including design, fabric/fiber style, color, form, and price. These findings can support apparel managers in the new product development process.
{"title":"Using Conjoint Analysis to Estimate Customers' Preferences in the Apparel Industry","authors":"Thanh Quynh Le, Y. Kohda, V. Huynh","doi":"10.1109/ICSSSM.2019.8887668","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887668","url":null,"abstract":"Today, in the mass customization production environment, clothing companies face even more difficulties, such as the rapid and uncertain changes in customer requirements and their impacts on production time, cost, and quality of product. In order to survive and develop in such a competitive environment, apparel companies should clearly identify customers' demands in the development of new clothing products. Understanding customer demands and their purchasing process is the base knowledge required to ensure successful marketing activities. However, customers' demands and behavior are affected by many factors, some of which conflict with each other in the production process. Therefore, an understanding of consumers' critical evaluative criteria when purchasing clothing products is one of the most important issues in the new product development process. The purpose of this paper is to determine the clothing product attributes that are of greatest value to customers and predict consumer preferences for attributes by applying the conjoint analysis method. The final results showed that five criteria have the most influence on shopping customers' behavior, including design, fabric/fiber style, color, form, and price. These findings can support apparel managers in the new product development process.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123600557","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 : 2019-07-13DOI: 10.1109/ICSSSM.2019.8887731
Naufal Allaam Aji, Arian Dhini
Non-performing loans has been one of the biggest problems in the banking sector. One alternative to minimize credit risk is to improve the evaluation of the applicant's credibility. Credit scoring is an evaluation of the feasibility of credit requests. For financial institution, poor credit may lead to an increase in non-preforming loans that may reduce bank productivity even in the event of financial crises and financial institutions bankruptcy Previously, credit scoring is based on the conventional statistics such as logistic regression and discriminant analysis. those techniques produce a good accuracy, some of the assumptions aren't accomplished by the data. Along the development of information technology, more advance approach named data mining has been developed. Therefore, this study used the Data Mining approach to solve NPL percentage problems in Indonesian bank, specifically in its mortgage loan. The classifiers used are decision tree C4.5 and random forest. Classifier with the best accuracy is random forest with Adaboost with 72.95%, on the other hand the worst accuracy performed by C4.5 with 68,7%. The best sensitivity performed by random forest complemented by Ada-boost with 0,730. It is considered as the best model in terms of prevent the type II error which could impact to the increase of non-performing loan in a bank. By the end of the research, it can be concluded that all types of random forest model out-perform the C4.5 decision tree.
{"title":"Credit Scoring Through Data Mining Approach: A Case Study of Mortgage Loan In Indonesia","authors":"Naufal Allaam Aji, Arian Dhini","doi":"10.1109/ICSSSM.2019.8887731","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887731","url":null,"abstract":"Non-performing loans has been one of the biggest problems in the banking sector. One alternative to minimize credit risk is to improve the evaluation of the applicant's credibility. Credit scoring is an evaluation of the feasibility of credit requests. For financial institution, poor credit may lead to an increase in non-preforming loans that may reduce bank productivity even in the event of financial crises and financial institutions bankruptcy Previously, credit scoring is based on the conventional statistics such as logistic regression and discriminant analysis. those techniques produce a good accuracy, some of the assumptions aren't accomplished by the data. Along the development of information technology, more advance approach named data mining has been developed. Therefore, this study used the Data Mining approach to solve NPL percentage problems in Indonesian bank, specifically in its mortgage loan. The classifiers used are decision tree C4.5 and random forest. Classifier with the best accuracy is random forest with Adaboost with 72.95%, on the other hand the worst accuracy performed by C4.5 with 68,7%. The best sensitivity performed by random forest complemented by Ada-boost with 0,730. It is considered as the best model in terms of prevent the type II error which could impact to the increase of non-performing loan in a bank. By the end of the research, it can be concluded that all types of random forest model out-perform the C4.5 decision tree.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125922234","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 : 2019-07-13DOI: 10.1109/ICSSSM.2019.8887751
Lijun Ma, Jingqiang Feng, Zhiyan Feng, Lan Wang
Despite short video industry has been greatly developed in recent years and many people have been addicted to using short video apps, little is known about what motivates users to generate such loyalty. The purpose of this paper is to build a research model based on the satisfaction, perceived value, time-flexibility, ease of use and celebrity attractiveness to identify the antecedents of users' loyalty in the context of short videos. The model is tested against 278 actual users of Tik Tok. Structural equation modeling (SEM) is employed for data analysis. The findings put entertainment value, social value, perceived usefulness, and time-flexibility under the spotlight, but the ease of use and celebrity attractiveness don't support our hypotheses. We conclude that Tik Tok users' loyalty is strongly driven by satisfaction, which in turn is primarily driven by the perceived value and weaken by the time-flexibility. The implications are discussed in the paper.
{"title":"Research on User Loyalty of Short Video App Based on Perceived Value—Take Tik Tok as an Example","authors":"Lijun Ma, Jingqiang Feng, Zhiyan Feng, Lan Wang","doi":"10.1109/ICSSSM.2019.8887751","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887751","url":null,"abstract":"Despite short video industry has been greatly developed in recent years and many people have been addicted to using short video apps, little is known about what motivates users to generate such loyalty. The purpose of this paper is to build a research model based on the satisfaction, perceived value, time-flexibility, ease of use and celebrity attractiveness to identify the antecedents of users' loyalty in the context of short videos. The model is tested against 278 actual users of Tik Tok. Structural equation modeling (SEM) is employed for data analysis. The findings put entertainment value, social value, perceived usefulness, and time-flexibility under the spotlight, but the ease of use and celebrity attractiveness don't support our hypotheses. We conclude that Tik Tok users' loyalty is strongly driven by satisfaction, which in turn is primarily driven by the perceived value and weaken by the time-flexibility. The implications are discussed in the paper.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121308899","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 : 2019-07-13DOI: 10.1109/ICSSSM.2019.8887616
Hui-Ling Yang, Tingting Xiao
In a dual-channel supply chain with hunger marketing, we study pricing and quality information disclosure decisions of the members when the information can be disclosed jointly, by the manufacturer or by the retailer. For each case, we also conduct sensitivity analysis to investigate the effects of the product compatibility with network sales and the information disclosure cost. The results show that hunger marketing strategy will improve the cost performance ratio and total demand of products, so as to improve the profit of manufacturers and supply chain. In addition, compared with the decentralized decision-making mode, the centralized decision-making mode helps supply chain to obtain more profit and disclose more quality information.
{"title":"Pricing and Quality Information Disclosure in a Dual-channel Supply Chain with Hunger Marketing","authors":"Hui-Ling Yang, Tingting Xiao","doi":"10.1109/ICSSSM.2019.8887616","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887616","url":null,"abstract":"In a dual-channel supply chain with hunger marketing, we study pricing and quality information disclosure decisions of the members when the information can be disclosed jointly, by the manufacturer or by the retailer. For each case, we also conduct sensitivity analysis to investigate the effects of the product compatibility with network sales and the information disclosure cost. The results show that hunger marketing strategy will improve the cost performance ratio and total demand of products, so as to improve the profit of manufacturers and supply chain. In addition, compared with the decentralized decision-making mode, the centralized decision-making mode helps supply chain to obtain more profit and disclose more quality information.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129125369","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 : 2019-07-13DOI: 10.1109/ICSSSM.2019.8887852
Narumi Nakazato, Y. Kohda
Measurement of Management behavior is a topic discussed in the field of Management. This paper presents the tendency of Managerial behavior in traditional Japanese banking sector and we focus on to the decision making on Fund management since it is the most important decision making in this industry. We also present how their behavior is anchored to their routine and negative behavior when they faced loss. The observation period measures for 20 years from 1997 to 2017 and we will show the 20 years trend of decision making using accessible data and a model created by using System Dynamics. We found the Managerial behavior on Fund management is conservative and avoiding risk instead of profit improvement for this observation period. Regarding to the interest rate for lending, it is not so linked to the policy rate though it is thought to be linked in general.
{"title":"Analysis of Management Behavior in the Japanese Banking Industry Using System Dynamics","authors":"Narumi Nakazato, Y. Kohda","doi":"10.1109/ICSSSM.2019.8887852","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887852","url":null,"abstract":"Measurement of Management behavior is a topic discussed in the field of Management. This paper presents the tendency of Managerial behavior in traditional Japanese banking sector and we focus on to the decision making on Fund management since it is the most important decision making in this industry. We also present how their behavior is anchored to their routine and negative behavior when they faced loss. The observation period measures for 20 years from 1997 to 2017 and we will show the 20 years trend of decision making using accessible data and a model created by using System Dynamics. We found the Managerial behavior on Fund management is conservative and avoiding risk instead of profit improvement for this observation period. Regarding to the interest rate for lending, it is not so linked to the policy rate though it is thought to be linked in general.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"14 39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133223224","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 : 2019-07-13DOI: 10.1109/ICSSSM.2019.8887657
Zhou Yan, Han Luxia
This paper is aimed to explore the relationship between overseas background directors and the quality of information disclosure. Based on the background data of directors of Chinese listed companies from 2008 to 2017, our results show that: (1) overseas background directors can significantly improve the quality of information disclosure of listed companies; (2) compared with state-owned enterprises, overseas directors of private enterprises have a more significant impact on the quality of information disclosure. This study enriches the research on the influencing factors of information disclosure quality and the economic consequences of overseas background characteristics of senior executives, and has reference value for the selection and recruitment of management talents of listed companies, the improvement of enterprise information transparency and the maintenance of financial market stability.
{"title":"The Influence of Overseas Background Directors on the Quality of Information Disclosure","authors":"Zhou Yan, Han Luxia","doi":"10.1109/ICSSSM.2019.8887657","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887657","url":null,"abstract":"This paper is aimed to explore the relationship between overseas background directors and the quality of information disclosure. Based on the background data of directors of Chinese listed companies from 2008 to 2017, our results show that: (1) overseas background directors can significantly improve the quality of information disclosure of listed companies; (2) compared with state-owned enterprises, overseas directors of private enterprises have a more significant impact on the quality of information disclosure. This study enriches the research on the influencing factors of information disclosure quality and the economic consequences of overseas background characteristics of senior executives, and has reference value for the selection and recruitment of management talents of listed companies, the improvement of enterprise information transparency and the maintenance of financial market stability.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126410271","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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