2019 16th International Conference on Service Systems and Service Management (ICSSSM)最新文献

The Application of Offshore Operation Risk Classification Management Method 海上作业风险分类管理方法的应用

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-13 DOI: 10.1109/ICSSSM.2019.8887838

Chen Hai, Jin Xiaojian, Xie Ke, Zhang Bin

引用次数: 0

Estimating Customer Segmentation based on Customer Lifetime Value Using Two-Stage Clustering Method 基于客户生命周期价值的两阶段聚类方法估计客户细分

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-13 DOI: 10.1109/ICSSSM.2019.8887704

Pradnya Paramita Pramono, I. Surjandari, Enrico Laoh

{"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}

引用次数: 15

Understanding how parents affect children's consumer socialization? An analysis based on grounded theory 了解父母如何影响孩子的消费社会化?基于扎实理论的分析

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-13 DOI: 10.1109/ICSSSM.2019.8887741

Dandan Li, Yushi Liu, Shiying Li

引用次数: 0

Research on the Influence Mechanism of Gamification Elements on Users' Willingness to Continue Using in Interest-based Virtual Communities ‐‐ Based on ECM-ISC Model 基于兴趣的虚拟社区中游戏化元素对用户继续使用意愿的影响机制研究——基于ECM-ISC模型

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-13 DOI: 10.1109/ICSSSM.2019.8887645

Yuanyue Feng, Zhenwei Liu, Weijian Qian, Minli Guo, Jiali Chen

{"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}

引用次数: 5

Using Conjoint Analysis to Estimate Customers' Preferences in the Apparel Industry 用联合分析估计服装行业顾客偏好

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-13 DOI: 10.1109/ICSSSM.2019.8887668

Thanh Quynh Le, Y. Kohda, V. Huynh

{"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}

引用次数: 3

Credit Scoring Through Data Mining Approach: A Case Study of Mortgage Loan In Indonesia 基于数据挖掘方法的信用评分:以印尼抵押贷款为例

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-13 DOI: 10.1109/ICSSSM.2019.8887731

Naufal Allaam Aji, Arian Dhini

{"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}

引用次数: 1

Research on User Loyalty of Short Video App Based on Perceived Value—Take Tik Tok as an Example 基于感知价值的短视频应用用户忠诚度研究——以抖音为例

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-13 DOI: 10.1109/ICSSSM.2019.8887751

Lijun Ma, Jingqiang Feng, Zhiyan Feng, Lan Wang

引用次数: 14

Pricing and Quality Information Disclosure in a Dual-channel Supply Chain with Hunger Marketing 饥饿营销下双渠道供应链的价格与质量信息披露

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-13 DOI: 10.1109/ICSSSM.2019.8887616

Hui-Ling Yang, Tingting Xiao

引用次数: 1

Analysis of Management Behavior in the Japanese Banking Industry Using System Dynamics 基于系统动力学的日本银行业管理行为分析

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-13 DOI: 10.1109/ICSSSM.2019.8887852

Narumi Nakazato, Y. Kohda

引用次数: 1

The Influence of Overseas Background Directors on the Quality of Information Disclosure 海外背景董事对信息披露质量的影响

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-13 DOI: 10.1109/ICSSSM.2019.8887657

Zhou Yan, Han Luxia

引用次数: 1