Valuing customers for social network services

In the current Internet environment, many online service companies based on community factors (networks) produce and sell new types of digital products. For example, SNS (social network service) companies now sell customers digital decorative products for the adornment of online avatars. Not only do individual customers consume these digital products, but they also exchange them as gifts in their local neighborhoods. While previous studies on customer valuation (e.g. CLTV, RFM, etc.) focus on some important issues for identifying valuable customers, the literature does not resolve issues related to the effects on customer value of products purchased as gifts for another person. This study attempts to verify empirically the effects of two representative social network properties (tie strength and the number of ties) on customer monetary value.This study selects 2615 customers from a South Korean SNS website who enrolled on the site on the same day. Data include diverse purchase-related information, social network properties in terms of gift-giving for six months, and demographic information. The primary results of this study are as follows. First, the proposed model, which includes social network properties, has a great deal more explanatory power than the baseline model — the RFM-based customer value model. Second, tie strength and the number of ties in a gift-giving network increase customer value. Third, tie strength has a more profound impact on customer value than does the number of ties. The results of this study theoretically expand the domain of customer valuation studies due to the inclusion of social network properties, and suggest important practical implications for some online SNS companies in their efforts to find valuable customers and improve customer value.     

浅析现代企业文化建设

当前随着社会经济的飞速发展,市场竞争越来越激烈,与此同时企业文化在组织管理中的作用也愈加明显。鉴于此,本文对现代企业文化建设的内涵和建设步骤进行了探讨,以期能为创业者或是企业管理人员提供一定的理论借鉴和帮助。     

树立科技矿政理念改革矿政管理制度——以资源储量消耗计征矿产资源税费

科技矿政理念的基本含义就是努力提高矿政管理的科技含量,遵循地质矿产规律,依靠科技进步显著提升我国矿产资源保护与利用水平.推动科技矿政管理进程,首先要从资源储量管理方面夯实基础,建立健全资源储量实物账户与价值账户.进而改革矿产资源权益分配方式,以资源储量消耗计征矿产资源税费.相应改革矿业权评估制度.     

基于纵向一体化的矿业探采一体化研究

矿业探采一体化本身是探矿主体或采矿企业纵向一体化的过程.探采一体化具有提高资源的利用效率、节约交易费用、降低市场风险、扩大规模效应、提升企业国际竞争力、促进矿业可持续发展的六大优势.受制于我国传统地勘体制和矿业市场环境的限制,我国矿业发展面临着地勘行业严重萎缩,探矿业滞后采矿业,探采不平衡,探采一体化推进缓慢等诸多问题.有效解决这些问题,需要通过明晰政府角色定位、创新机制和体系、优化市场环境,加快推进矿业探采一体化.     

利用污泥生产生态水泥的研究

污泥是污水处理厂污水处理的必然产物。污泥中除了有机物外,往往还舍有20％-30％的无机物,主要是硅、铝、铁和钙等成分。一般情况下,污泥中的化学组成与粘土原料成分接近．利用污水处理厂污泥可替代部分粘土原料生产水泥。     

雄安新区对京津冀城市群低碳协同发展促进作用预评估

以低碳经济联系强度模型和多中心源辐射效应叠加模型开发为基础,以分维值测算和GIS空间分析及比较为量化评估工具,采用反现实的研究方法(假设雄安新区没有建立是一种情景),通过比较京津冀城市群在2018-2030年有雄安新区和没有雄安新区两种不同情景下的低碳经济辐射情况,预评估雄安新区的建立对京津冀城市群低碳协同发展的促进作用。结果显示:①如果不建立雄安新区,京津冀城市群的梯度断档问题有加重之趋势;②雄安新区的建立,可以有效促进中间层级城市的快速成长,解决城市群的梯度断档问题,从而改善京津冀城市群西南部和东北部低碳经济联系强度的空间分布;③雄安新区的建立能够有效促进京津冀城市群低碳经济联系强度分维值的提高,而且这种促进作用在2025年之后随着时间的推移会越来越显著,有利于城市群整体的低碳协同发展。     

Incorporating textual information in customer churn prediction models based on a convolutional neural network

This study investigates the value added by incorporating textual data into customer churn prediction (CCP) models. It extends the previous literature by benchmarking convolutional neural networks (CNNs) against current best practices for analyzing textual data in CCP, and, using real life data from a European financial services provider, validates a framework that explains how textual data can be incorporated in a predictive model. First, the results confirm previous research showing that the inclusion of textual data in a CCP model improves its predictive performance. Second, CNNs outperform current best practices for text mining in CCP. Third, textual data are an important source of data for CCP, but unstructured textual data alone cannot create churn prediction models that are competitive with models that use traditional structured data. A calculation of the additional profit obtained from a customer retention campaign through the inclusion of textual information can be used by practitioners directly to help them make more informed decisions on whether to invest in text mining.     

Mapping hotel brand positioning and competitive landscapes by text-mining user-generated content

This study uncovers hotel brand positioning and competitive landscape mapping by text-mining user-generated content (UGC). Rather than relying on a single dimension of consumer evaluation, the current study detects brand attributes by using both customer preferences as well as perceptual performance to develop meaningful insights. For this, the study combines content analysis and repertory grid analysis (RGA) to answer three key research issues. 111,986 hotel reviews from two biggest Chinese cities are used to explore and visualize the competitive landscape of six selected hotel brands across three hotel categories. Findings from the study will not only advance the existing literature on brand positioning and competitive landscape mapping but also help practitioners in developing brand positioning strategies to fight competitors within and across hotel categories.     

山东省旅游发展地域差异及分类研究

选取了13个与旅游发展密切相关的指标,运用主成分分析方法对山东省17地市旅游发展的综合实力做出评价;把17地市的旅游发展类型划分为发达型、较发达型、发展型、欠发达型;山东省区划为以青岛、烟台、济南和济宁为核心城市的4个旅游经济带,并对分析中存在的问题及相关发展对策进行了探讨。     

数据挖掘技术在企业薪酬设针中的应用研究

现代企业薪酬设计过程中要面对数量众多、关系复杂的信息和数据,而数据挖掘技术在有效处理大量数据方面具有独特的优势。本文以薪酬设计中的数据分析过程为主线,探讨如何应用分类、聚类以及关联规则等数据挖掘技术来分析和处理数据,为薪酬设计提供强有力的决策支持。