2019 16th International Conference on Service Systems and Service Management (ICSSSM)最新文献_第7页

Perceived High-performance Work Systems and Work Well-being in the Express Industry: A Moderated Mediation Model 快递行业的高绩效工作系统与工作幸福感:一个有调节的中介模型

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887727

Fangguo Su, Yan Lei, Yangliu He, Hanyang Luo

{"title":"Perceived High-performance Work Systems and Work Well-being in the Express Industry: A Moderated Mediation Model","authors":"Fangguo Su, Yan Lei, Yangliu He, Hanyang Luo","doi":"10.1109/ICSSSM.2019.8887727","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887727","url":null,"abstract":"The work characteristics of the express delivery industry are high work intensity and high work requirements, which often lead to work overload of the employees and reduce the subjective well-being of the employees. Although express delivery companies can reduce the negative impact of work overload on work well-being through high-performance work systems (HPWS), existing researches show that mediated mechanism and boundary conditions that perceived HPWS and work overload impact on work well-being are still unclear. To address this gap in existing research, based on conservation of resource theory (COR), this study selected the employees of well-known express delivery companies as samples to empirically test the mediated mechanism and boundary conditions of perceived HPWS and work well-being. The results revealed: emotional exhaustion mediated the impact of the perceived HPWS on the employees' work well-being. Work overload moderated the impact of the perceived HPWS on work well-being through employee emotional exhaustion. That is to say, when the work overload is low, perceived HPWS can improve work well-being by reducing employee emotional exhaustion; when the work overload is high, perceived HPWS cannot improve work well-being by reducing employee emotional exhaustion.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134321246","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: 2

Optimal Return Policy for Substitute Products in E-commerce Environment 电子商务环境下替代产品的最优退货策略

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887846

Jiaxin Lin

引用次数: 0

Fault Detection System Using Machine Learning on Geothermal Power Plant 基于机器学习的地热发电厂故障检测系统

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887710

Zulkarnain, I. Surjandari, Resha Rafizqi Bramasta, Enrico Laoh

引用次数: 4

Adaptive Neuro-Fuzzy Inference System (ANFIS) Method to Optimize The Reduction Process of Saprolite Ore Composites in Tube Furnace 基于自适应神经模糊推理系统(ANFIS)的管式炉变质岩矿复合料还原工艺优化

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887655

I. Surjandari, Angella Natalia Ghea Puspita, Z. Zulkarnain, A. Kawigraha, N. V. Permatasari, A. M. M. Rus

{"title":"Adaptive Neuro-Fuzzy Inference System (ANFIS) Method to Optimize The Reduction Process of Saprolite Ore Composites in Tube Furnace","authors":"I. Surjandari, Angella Natalia Ghea Puspita, Z. Zulkarnain, A. Kawigraha, N. V. Permatasari, A. M. M. Rus","doi":"10.1109/ICSSSM.2019.8887655","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887655","url":null,"abstract":"According to Indonesia Mineral and Coal Law No. 1 in 2014 about the Enhancement of Mineral Value-Added, it is necessary for mining company to process and refine nickel ore domestically to increase its value. In this paper, value of nickel ore is increased by producing a saprolite ore composite which is a mixture of a certain amount of saprolite, coal, sulfate, and bentonite. Then a reduction process of the composite using pyrometallurgical method is designed to find the best combination of the coal ratio, process temperature, process time, and the ratio of additive (Na2SO4) towards the availability of carbon along with processing time and temperature as the primary concern. Then the chemical composition of the saprolite ore composites are analyzed, especially nickel, using X-Ray-Difference Fluorescence (XRF). In order to find the best combination, Adaptive Neuro-Fuzzy Inference System (ANFIS) method is employed to analyze the XRF result due to its ability to reduce the dimension of search space by distributing input information over the network. The objective of this research is to obtain optimal factor combination for reduction process of saprolite ore composites in Tube Furnace by looking at the results of the chemical compositions of Ni which was tested through XRF using ANFIS method. The optimal factor combination is ratio coal 15% with a type of additive Ca2SO4or Composite SB15Ca10P2with temperature 1200 °C and process time 3 hours.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129421913","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: 0

The value of bidirectional option contracts on the multi-period ordering under inflation 通货膨胀条件下的多期订单下双向期权的价值契约

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887687

Nana Wan, Xiaozhi Wu

引用次数: 0

Analysis of the Effectiveness of China's Central Bank Bills Write-off Intervention 中国央行票据核销干预的有效性分析

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887603

Sha Jinlong, Liu Huangjin

引用次数: 0

Who should the government support for greater sustainability improvement, manufacturers or consumers? 为了提高可持续性，政府应该支持谁，制造商还是消费者?

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887844

S. Bao, Jianxi Tang

引用次数: 0

Modelling the relationship between perceived value, customer satisfaction, and customer loyalty in Youth Hostel: an empirical study 青年旅舍顾客感知价值、顾客满意与顾客忠诚关系之实证研究

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887714

Xiaohong Chen, Qianying Liu, Kaishan Huang, Tingting Liu

引用次数: 1

A Method for Innovation Capability Evaluation in Banking 银行业创新能力评价方法研究

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887742

Nu Dieu Khue Ngo, V. Huynh

{"title":"A Method for Innovation Capability Evaluation in Banking","authors":"Nu Dieu Khue Ngo, V. Huynh","doi":"10.1109/ICSSSM.2019.8887742","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887742","url":null,"abstract":"Measuring innovation processes becomes urgent in the era of fierce competition under the strong impact of technology development. That helps firms review their innovation activities, thereby to have reasonable adjustments in their innovation policies. There have been emerging innovation trends in banking industry such as using big data, mobile applications and cooperating with FinTech companies. However, there remain few relevant research on evaluating innovation capabilities in banking sector particularly. In this paper, first we determine key innovation management practices based on literature review and establish a set of measurement items for these practices. Then, an innovation capability evaluation method is developed based on Analytic Hierarchy Process (AHP). A group of five experts in banking major is invited assess the development degree of each practice in a sample group of Vietnam banks as well as determine the importance weights for each practice. Finally, a composite innovation capability index is computed for each bank and used for ranking. The findings could be a basis for bank managers to propose new strategies in order to improve their innovation outcomes.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133526867","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: 0

Content-enhanced Bayesian Personalized Ranking 内容增强的贝叶斯个性化排名

2019 16th International Conference on Service Systems and Service Management (ICSSSM) Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887830

Xueqian Li, Liang Zhang, Guannan Liu, Junjie Wu

{"title":"Content-enhanced Bayesian Personalized Ranking","authors":"Xueqian Li, Liang Zhang, Guannan Liu, Junjie Wu","doi":"10.1109/ICSSSM.2019.8887830","DOIUrl":"https://doi.org/10.1109/ICSSSM.2019.8887830","url":null,"abstract":"With the popularization of Knowledge Payment Products (KPP), more accurate recommendations are in great need to alleviate information overload of users. Bayesian Personalized Ranking (BPR) is one of the most representative pairwise ranking methods for recommendation, the performances of which greatly depend on the selection of negative feedback. However, traditional negative samplers may suffer from bias and noises. Therefore, in this paper, we focus on improving negative sampling strategy of BPR by incorporating side information of the knowledge products. We locate negative samples by calculating the cosine similarity among items by the textual features of KPP, under the assumption that a user shall have similar perceptions on items with similar content. We union our sampler strategy and the original one with different ratios. Compared to the original BPR that applies a uniform sampler on all the products, the join of our content-based sampler enhances BPR with a relative improvement over 4% on the ZhiHu Live dataset, which demonstrates the effectiveness of considering side information when capturing users' preferences on different items.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130617908","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: 0