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

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The Effect of Korean Beauty Product Characteristics on Brand Loyalty and Customer Repurchase Intention in Indonesia 印尼韩国美容产品特征对品牌忠诚度及顾客再购买意愿的影响
Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887676
Anita Shalehah, Ivana Lidia Oktavia Trisno, M. Moslehpour, Pei-Kuan Lin Cor.
The purpose of this study is to explore factors influencing Indonesian consumers to brand loyalty and customer repurchase intention of Korean beauty products. This study uses a quantitative approach to test the hypotheses. A sample of 411 respondents was collected by online questionnaires in Indonesia. Causal research design and SEM analysis are also conducted to determine the relationship between constructs. The finding showed that brand name, product quality, product design, promotion and brand loyalty have significant influence on repurchase intention. Moreover, all of product characteristics (brand name, product quality, product design and promotion) also have a significant influence on brand loyalty. This study explains some practical directions for beauty product companies to do better marketing strategies. Beauty product enterprises should give priorities to brand name, product quality, product design and promotion as the basic factor influencing consumers to repurchase the product. On the other hand, a commitment to build a strong brand loyalty in consumers' mind is a compulsory. Once consumers are loyal to one brand, they will keep buying a same product from a same brand again and again.
本研究旨在探讨印尼消费者对韩国美容产品品牌忠诚度及顾客再购买意愿的影响因素。本研究采用定量方法来检验假设。在印度尼西亚通过在线问卷收集了411名受访者的样本。还进行了因果研究设计和扫描电镜分析,以确定构念之间的关系。研究发现,品牌名称、产品质量、产品设计、促销和品牌忠诚度对再购买意愿有显著影响。此外,所有产品特征(品牌名称、产品质量、产品设计和促销)对品牌忠诚度也有显著影响。本研究为美容产品企业制定更好的营销策略提供了一些实用的方向。美容产品企业应优先考虑品牌、产品质量、产品设计和促销,作为影响消费者再次购买产品的基本因素。另一方面,承诺在消费者心中建立强大的品牌忠诚度是必须的。一旦消费者忠诚于一个品牌,他们就会不断地从同一个品牌购买同一种产品。
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引用次数: 23
Research on the Factors Affecting Player Stickiness in Massively Multiplayer Online Game (MMOG) 大型多人在线游戏(MMOG)玩家粘性影响因素研究
Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887677
Lijun Ma, Zhiyan Feng, Jingqiang Feng, Lan Wang
Massively multiplayer online games (MMOG) have becoming increasingly popular in recent years, but the problem of low player stickiness has always existed. Meanwhile, little is known about what motivates players to generate such stickiness. This paper built a research model based on the attitude, perceived enjoyment, aesthetic design, telepresence, team participation and network externalities to identify the antecedents of player stickiness in the context of MMOG. Structural equation modeling (SEM) is employed for data analysis. Analysis of 265 valid responses to a survey questionnaire indicate that attitude, a medium factor, has great positive effect on stickiness. Among the antecedents of attitude, perceived enjoyment is found to have the strongest effect. In addition, team participation, weak-link influence and strong-link influence have a positive correlation with attitude. But aesthetic design and telepresence have no significant influence on attitude. Also, implications are discussed in the paper.
近年来,大型多人在线游戏(MMOG)越来越受欢迎,但玩家粘性低的问题一直存在。与此同时,我们很少知道是什么促使玩家产生这种粘性。本文构建了基于态度、感知享受、美学设计、远程呈现、团队参与和网络外部性的研究模型,以识别MMOG背景下玩家粘性的前因。采用结构方程模型(SEM)对数据进行分析。对265份有效问卷的分析表明,态度作为一个中等因素对粘性有显著的正向影响。在态度的前因中,感知享受的影响最大。此外,团队参与、弱环节影响和强环节影响与态度呈正相关。而美学设计和远程呈现对态度的影响不显著。同时,本文还讨论了研究的意义。
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引用次数: 1
Research on the Impact of Cross-border E-commerce Platform Quality on Customer Cross-buying Intention 跨境电商平台质量对客户交叉购买意愿的影响研究
Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887725
Hanyang Luo, Yinlong Liang, Zhongyang Wu, Zhenwei Liu, Bo Shu, Yuexin Luo
Nowadays, as a new commercial format, cross-border e-commerce has rapidly developed with China's policy support and consumption upgrade. With the advantages of “Belt and Road” strategy, China's cross-border e-commerce industry will confront more opportunities, while facing more fierce competition. Under this background, how to increase usage frequency as well as repurchase intention of customers, has become a significant and emergent problem for Chinese cross-border e-commerce platform companies. This paper defines the dimension of platform quality from the perspective of customer perception, which mainly focuses on the three aspects: system quality, information quality and service quality. Based on the theory of Stimulate-Organism-Response theory, this research takes cross-border e-commerce platform quality as independent variable, customer trust as the mediating variable and cross-buying intention as dependent variable. This paper also divides cross-buying intentions into three types, including point cross-buying intention, line cross-buying intention, and plane cross-buying intention. The authors conduct a survey in the form of questionnaire and the research model is tested by a sample of 235 online customers. The empirical results show that: (1)The three dimensions of platform quality all have positive effect on customer trust. (2) System quality and service quality have direct and positive effect on cross-buying intention. (3)Customer trust have positive effect on the cross-buying intention.(4)Customer trust has mediating effect between the three dimensions of platform quality and cross-buying intention.
如今,随着中国的政策支持和消费升级,跨境电商作为一种新型的商业业态得到了迅速发展。随着“一带一路”战略的优势,中国跨境电商行业将面临更多的机遇,同时面临更激烈的竞争。在此背景下,如何提高消费者的使用频率和再购买意愿,成为中国跨境电商平台企业亟待解决的重大问题。本文从客户感知的角度定义了平台质量的维度,主要集中在系统质量、信息质量和服务质量三个方面。本研究基于刺激-机体-反应理论,以跨境电商平台质量为自变量,顾客信任为中介变量,交叉购买意愿为因变量。本文还将交叉购买意愿分为三种类型,即点交叉购买意愿、线交叉购买意愿和平面交叉购买意愿。作者以问卷的形式进行了调查,并以235名在线客户为样本对研究模型进行了检验。实证结果表明:(1)平台质量的三个维度均对客户信任有正向影响。(2)系统质量和服务质量对交叉购买意愿有直接的正向影响。(3)顾客信任对交叉购买意愿有正向影响。(4)顾客信任在平台质量三个维度与交叉购买意愿之间有中介作用。
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引用次数: 2
Travel time analysis for shuttle-based storage and retrieval system with middle input/output location 中间输入/输出位置梭式存取系统的行程时间分析
Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887622
Yunfeng Ma, Jieqin Wang
Along with the rapid development of electronic commerce, the importance of logistics links and new designs of automated warehouse have been developed. A big boost has been given by shuttle-based storage and retrieval system (SBS/RS). Compared with traditional mini-load automated storage and retrieval system, SBS/RS could achieve higher warehouses volume and throughput capacity. Since in each tier there is a single shuttle in most SBS/RS, lift is always the bottleneck of this system. While all of the previous papers use lower left-point input/output location, in this paper, we present a single and dual command cycle time model of the elevator lifting table of the SBS/RS with middle I/O point location and consider the motion characteristics of the lift. The numerical analysis considers three different rack configurations and four velocity profiles. The results demonstrate good performance of our model, the dual command cycle time of lift reduce by 28.3% under the condition of middle I/O point, and the throughout increase by 17.3%.
随着电子商务的迅速发展,物流环节的重要性和自动化仓库的新设计得到了发展。基于航天飞机的存储和检索系统(SBS/RS)给了一个很大的推动。与传统的小负荷自动化存储检索系统相比,SBS/RS系统可以实现更高的仓库容量和吞吐量。由于在大多数SBS/RS中每层都有一个航天飞机,因此升力一直是该系统的瓶颈。在以往文献采用左下点输入/输出位置的情况下,本文考虑电梯的运动特性,提出了中间I/O点位置的SBS/RS电梯升降台单指令和双指令周期时间模型。数值分析考虑了三种不同的齿条结构和四种速度分布。结果表明,该模型具有良好的性能,在中间I/O点条件下,升力双指令周期时间缩短28.3%,通航率提高17.3%。
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引用次数: 3
Exploring the Differences of Review Behavior among Membership Tiers 探讨会员等级之间评论行为的差异
Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887829
Liangqiang Li, Kaiming Li, Miyan Liao, Wei Peng
Membership tier is an important measure for enterprises to implement customer loyalty programs in big data environment. The differences in online review behavior of different tiers of users directly affect the interaction between the company and the customer. This paper uses online review behavior data in the real membership tier to explore the differences in online review behavior from the perspective of membership tiers. This study find that customer membership tier is positively correlated with the review rating score, and membership tier is not significantly correlated with the length of the review. Membership tier is positively correlated with the ratio of review sentiment words, and negatively correlated with the objective description words, showing a significant difference between behavioral loyalty and attitude loyalty.
会员层是企业在大数据环境下实施客户忠诚计划的重要手段。不同层次用户在线评论行为的差异直接影响到公司与客户之间的互动。本文利用真实会员层的在线评论行为数据,从会员层的角度探讨在线评论行为的差异。本研究发现,顾客会员等级与点评评分得分呈正相关,会员等级与点评长度不显著相关。会员等级与评论情感词的比例正相关,与客观描述词的比例负相关,表现出行为忠诚与态度忠诚的显著差异。
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引用次数: 0
Research on the Entry Threshold of P2P Lending Platform Considering the Social Reputation Level of Borrowers 考虑借款人社会声誉水平的P2P借贷平台准入门槛研究
Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887649
He Ping, Zhang Yulin, Huan Mengli, L. Xuemei
According to two situations of establishing the threshold of social reputation of the online lending platform, this paper establishes the profit maximization model of P2P lending platform, analyzing the pricing of P2P lending platform and answering whether and when it is necessary to establish a social reputation threshold for borrowers. Moreover, this paper analyzes the influence of the platform's exclusive strategy on the number of bilateral users and the platform's profit. The results show that the platform needs to set the threshold when lenders are more sensitive to borrowers' social reputation. In addition, through the analysis of market size and platform profit, it is found that when the platform strengthens the sensitivity of lenders to the average social credit level of borrowers, it will increase the number of lenders and the platform's own profit at the same time.
本文根据网络借贷平台建立社会声誉门槛的两种情况,建立P2P借贷平台的利润最大化模型,分析P2P借贷平台的定价,回答是否有必要以及何时有必要为借款人建立社会声誉门槛。此外,本文还分析了平台的排他性策略对双边用户数和平台利润的影响。结果表明,当贷款人对借款人的社会声誉更敏感时,平台需要设置门槛。此外,通过对市场规模和平台利润的分析发现,当平台增强贷款人对借款人平均社会信用水平的敏感性时,会同时增加贷款人数量和平台自身的利润。
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引用次数: 2
The Impact of Expressive Brand Relationship on Brand Loyalty: Drawing on relationship marketing theory 表达型品牌关系对品牌忠诚的影响:基于关系营销理论
Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887611
Michael Yao-Ping Peng, Yonghong Li
Due to the findings are confounded that the relations between brand relationship and brand loyalty, drawing on the relationship marketing theory. This study collected from three metropolitan customers who used tablet PC. We get 383 usable samples, valid response rate is 89%. Data analysis was performed using structural equation modelling to test the proposed model. The results indicated that expressive brand relationship significant predicators of brand trust and brand loyalty. Brand trust has positive influence brand love. Brand conscious and brand love has influence attitudinal and behavioral loyalty. Expressive brand relationship through two indirect mediating affects which brand trust and brand love influence brand loyalty. Finally, these results suggest managerial implications and the direction of future researches.
由于研究结果令人困惑,品牌关系与品牌忠诚之间的关系,借鉴了关系营销理论。本研究收集了三个使用平板电脑的都市消费者。得到可用样本383个,有效回复率为89%。数据分析采用结构方程模型来检验所提出的模型。结果表明,表达性品牌关系对品牌信任和品牌忠诚具有显著的预测作用。品牌信任对品牌喜爱有正向影响。品牌意识和品牌热爱对态度忠诚和行为忠诚有影响。通过品牌信任和品牌喜爱对品牌忠诚的间接中介作用来表达品牌关系。最后,本文提出了管理启示和未来研究的方向。
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引用次数: 3
Impacts of government subsidies on pricing and coordination of the dual-channel supply chain with remanufactured products 政府补贴对含再制造产品的双渠道供应链定价与协调的影响
Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887683
Yonghong Cheng, Qinglin Luo
To solve these pricing and channeling issues, we consider a dual-channel supply chain consisting of the manufacturer producing new and remanufactured products simultaneously, the independent retailer selling new products, and the manufacturer selling remanufactured products, then investigates optimal pricing strategies for the new and remanufactured products between the centralized and decentralized decision-making models by applying optimization and game theory. By comparing the two models we find that the optimal prices of the new and remanufactured products not only depend on the government's subsidy level of remanufacturing, but also relate to the unit cost saving of producing remanufactured products with respect to new products and the decision-making methods in the dual-channel supply chain. Meanwhile, it is found that there is also a “double marginalization” in the decentralized situation, thus we coordinate the dual-channel supply chain using a two-part tariff contract. Specifically, only the manufacturer adjusts dynamically the wholesale price and fixed fee within the coordinating contract according to the government's subsidy level of remanufacturing. Finally, we obtain several interesting conclusions from the numerical examples and provide managerial insights and policy implications from the analytical results. In particular, our finding of the economic, social, and environmental benefits of remanufacturing operations managed by the dual-channel supply chain has implications for both academics and managers.
为了解决这些定价和渠道问题,我们考虑了由同时生产新产品和再制造产品的制造商、销售新产品的独立零售商和销售再制造产品的制造商组成的双渠道供应链,然后运用最优化和博弈论的方法研究了集中和分散决策模型之间新产品和再制造产品的最优定价策略。通过对两种模型的比较,我们发现新产品和再制造产品的最优价格不仅取决于政府对再制造的补贴水平,还与生产再制造产品相对于新产品的单位成本节约以及双渠道供应链中的决策方法有关。同时,我们发现在分散的情况下也存在“双重边缘化”,因此我们采用两部分关税契约来协调双渠道供应链。具体来说,只有制造商根据政府对再制造的补贴水平动态调整协调合同内的批发价格和固定费用。最后,我们从数值例子中得到了几个有趣的结论,并从分析结果中提供了管理见解和政策含义。特别是,我们关于双渠道供应链管理下的再制造业务的经济、社会和环境效益的发现对学术界和管理者都有启示意义。
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引用次数: 1
Data Mining Approach for Customer Segmentation in B2B Settings using Centroid-Based Clustering 基于质心聚类的B2B客户细分数据挖掘方法
Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887739
Nadhira Riska Maulina, I. Surjandari, A. M. M. Rus
Big data and advanced analytics in organizations are dominant in customer-centric departments such as marketing, sales, and customer service. For company, designing marketing strategies using customer segmentation is useful to improve business revenue. Clustering algorithms able to deal with large data set to recognize patterns and identify customer segments. In this paper, different clustering algorithms will be compared, specifically centroid-based clustering K-Means, CLARA, and PAM with Fuzzy C-Means clustering. The purpose of this research is to find optimum number of clusters using clustering algorithm with the best validation measure score. Dataset is acquired from Tech Company in Indonesia that provide machine with Point of Sale system for food and beverages merchants, since the company in B2B settings. Among three clustering methods, K-Means have the best validation measure score. After compared to Fuzzy C-Means, K-Means outperforms FCM based on time complexity and quality of clustering. Cluster analysis is done to identify customer information. Therefore, this research able to deliver an insightful understanding about customer characteristics using big data analytics and provide an effective Customer Relationship Management Systems.
组织中的大数据和高级分析在以客户为中心的部门(如营销、销售和客户服务)中占主导地位。对于公司来说,利用客户细分来设计营销策略对提高业务收入是有用的。聚类算法能够处理大数据集来识别模式和识别客户细分。本文将比较不同的聚类算法,特别是基于质心的聚类K-Means、CLARA和PAM与模糊C-Means聚类。本研究的目的是使用具有最佳验证度量得分的聚类算法找到最优聚类数量。数据集是从印度尼西亚的Tech公司收购的,该公司为食品和饮料商家提供机器与销售点系统,因为该公司处于B2B环境中。在三种聚类方法中,K-Means具有最好的验证测度得分。与模糊C-Means相比,K-Means在时间复杂度和聚类质量上优于FCM。通过聚类分析来识别客户信息。因此,本研究能够利用大数据分析对客户特征提供深刻的理解,并提供有效的客户关系管理系统。
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引用次数: 9
Two-stage Stochastic Programming for Parallel Machine Multitasking to Minimize the Weighted Sum of Tardiness and Earliness 最小化延迟和提前加权和的并行机多任务两阶段随机规划
Pub Date : 2019-07-01 DOI: 10.1109/ICSSSM.2019.8887754
Ming Liu, R. Liu, Xin Liu
Multitasking scheduling is essential for decision making in many academic disciplines, including operations management, computer science, and information systems. In multitasking settings, each waiting job interrupts the currently in-processing job, causing an interruption time and switching time. It is difficult to make production planning under the multitasking settings, especially when considering uncertainty. However, most existing works about the problem focus on the deterministic environment, which is unpractical in actual life. In this paper, we investigate a multitasking scheduling problem on parallel machines. Moreover, uncertain processing times, which may be caused by multi-skilled workers, different machines and so on, are taken into account. The objective is to minimize the weighted sum of the earliness and tardiness. A two-stage stochastic programming formulation based on scenarios is developed. The first stage is to determine the operating machine for each job, and the processing sequence of jobs is made in the second stage. Sample average approximation (SAA) is adopted to solve the model. Finally, computational experiments are conducted and we give the impacts by sensitivity analyses.
多任务调度在许多学科的决策中都是必不可少的,包括运营管理、计算机科学和信息系统。在多任务设置中,每个等待作业都会中断当前正在处理的作业,从而导致中断时间和切换时间。在多任务环境下,特别是在考虑不确定性的情况下,制定生产计划是困难的。然而,现有的关于该问题的研究大多集中在确定性的环境中,这在实际生活中是不现实的。本文研究了并行机器上的多任务调度问题。此外,考虑到多技术工人、不同机器等因素可能造成的加工时间的不确定性。目标是最小化早到和迟到的加权总和。提出了一种基于情景的两阶段随机规划公式。第一阶段是确定每个作业的操作机床,第二阶段是制定作业的加工顺序。采用样本平均近似(SAA)对模型进行求解。最后进行了计算实验,并通过灵敏度分析给出了影响。
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引用次数: 2
期刊
2019 16th International Conference on Service Systems and Service Management (ICSSSM)
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