基于TAM的企业云应用服务采纳模型及关键因素

云计算将主导企业应用的未来已成为业界的共识,转向云计算是企业应用模式的颠覆性变化。企业用户需要采纳适合企业自身需求的云计算方案,具备评估采纳云应用服务风险的能力;而服务提供商则应提供满足不同企业需求的云应用服务。采用技术接受模型(TAM)的相关理论建立云应用服务技术接受模型,并运用模糊决策实验与实验评估法(DEMATEL)对所设计模型及实例数据进行分析,检验所设计的云应用服务技术接受模型及关键因素。研究结果表明,感知有用性、应用服务质量、社交影响对企业用户采纳产生关键影响。     

商务网站客户行为信息挖掘模型的设计

企业通过电子商务网站开展网络经营的过程中 ,可以获得大量的客户行为信息 ,通过一种合适的手段 ,对这些信息进行分析 ,从而使企业的电子商务网站达到更高的客户满意度 ,将大大地提高企业网络经营的效率。通过对数据挖掘技术的应用进行分析 ,提出了数据挖掘技术在客户行为分析中的应用方法 ,并给出了一个基本的模型     

文本挖掘在电商数据分析中的应用模型设计

近年来,电子商务的发展很快,对电子商务的研究是热点问题,但大数据特征的电子商务文本多维度特征的数据挖掘、中文语义表述等研究和商业应用研究较少。本文以淘宝网交易数据为研究基础,利用文本数据挖掘技术从数据预处理、领域专业词库的构建以及营销决策支持信息的产生等几个方面进行了研究,提出并设计了可行的应用模型,通过该模型的实施,能够为电商企业提供相应的决策支持信息,从而为电子商务的后期研究打下基础。     

Web Services在中小型企业电子商务上的应用

随着Internet的迅速发展,WebServices技术正逐渐成为新一代电子商务发展的核心。通过使用WebServices,现代电子商务可以帮助个人或企业从Internet上收集到更多的信息。本文讨论了WebServices的概念、体系架构和标准,着重介绍了WebServices在中小型企业电子商务上的应用,并分别给出企业内部与外部应用的模型,最后结合实例对比说明了WebSer-vices在电子商务上的智能化优势。     

基于改进RFM模型的电子商务客户细分

对电子商务企业的客户进行准确细分,采取相应的营销策略,是电子商务发展的重要环节。在传统零售行业客户细分的RFM模型上,引入总利润属性,创建RFP模型,使用数据挖掘K-Means算法对某电子商务企业客户进行聚类分析,与RFM模型比较,并分析了模型属性的关联性对聚类结果的影响,得出了模型比较的六个结论和四个营销策略,能为电子商务行业以及其他销售行业提出相关营销策略。     

e—Bridge重塑分销结构

作为分销业龙头企业的神州数码公司,采用新的衍生于电子商务应用技术上的服务方式和商业模型沟通上、下游,为中国企业的电子商务指出了切实可行的发展路径     

中国企业B2B电子商务与ERP的整合应用

本文主要讨论B2B电子商务与ERP在中国企业中整合应用的基本原理。文章首先分析了中国企业发展电子商务及ERP系统的环境、现状以及建设中存在的问题,然后剖析了两者的关系,得出要使两者对企业技术上有效,就必须将两者有机结合起来,以发挥其最大功效的结论。最后提出实现两者整合应用的基本模型。     

基于网格技术的电子商务平台研究

随着计算机技术尤其是网络技术的飞速发展以及全球经济一体化步伐的加快,电子商务得到了越来越广泛的应用.但是资源分布的不均衡性造成企业内部和外部存在大量的信息孤岛,严重制约了电子商务的进一步发展.本文主要分析了目前电子商务发展中存在的问题,探讨了网格技术对电子商务的影响,并给出了基于网格技术的电子商务平台模型的初步设计.     

离散制造企业RFID实施框架研究*

为推进离散制造企业RFID系统的成功实施,提出了面向离散制造企业的RFID实施方法论框架。从应用领域、应用层次、产品生命周期三个维度分析了离散制造企业的RFID应用需求。以信息技术采纳理论为基础,构建了包括RFID技术采纳决策和RFID系统实施两个阶段的RFID实施过程框架,并对各阶段的实施步骤和实施方法进行了阐述。利用上述RFID实施框架在重庆某整车生产厂进行实际应用,验证了可行性。     

如何加快我国电子商务的发展和应用

<正> 目前我国电子商务应用中存在的一些问题 随着互联网技术的广泛应用,我国越来越多的企业开始实施电子商务,同时专门为其他公司提供各种电子商务服务的公司也脱颖而出。与此同时,各种媒介对电子商务的报道更使大家有这么一种感觉:电子商务似乎一夜之间成了几乎所有企业的必由之路。然而与国外同行相比,我国企业的电子商务应用水平还很低,所     

Quality improvement using a software reuse failure modes model

The paper presents a failure modes model of parts-based software reuse, and shows how this model can be used to evaluate and improve software reuse processes. The model and the technique are illustrated using survey data about software reuse gathered from 113 people from 29 organizations     

Gatekeepers’ innovative use of IT: An absorptive capacity model at the unit level

This paper examines the potential role of gatekeepers’ innovative use of information technology (IT) in organizational units and its ability antecedents. Using absorptive capacity theory as our theoretical lens, we theorize a model of innovative use of IT at the unit level. The proposed model was empirically validated using a survey of 204 unit gatekeepers. This paper develops a preliminary model of innovative use of IT that can inform and guide future research, specifically focusing on the key role of gatekeepers and the abilities needed by users in this role that can help in using IT in an innovative manner.     

基于ORM的海洋地质取样应用模型设计方法

随着海洋在经济发展中的地位日益突出,海洋地质调查越来越重要,如何合理地管理使用海洋地质调查数据成为研究热点。文中以海洋地质取样业务为例,采用面向对象的技术方法,提出了基于ORM的海洋地质取样应用模型设计方法,实现了海洋地质取样业务与Epicentre数据模型的关联,并详细介绍了海洋地质调查取样业务划分,以及基于ORM技术的海洋地质取样模型构建方法。通过该方法得到的海洋地质取样模型是面向对象的,与传统的关系型海洋地质调查取样数据库相比具有较好的可扩展性及关联性。     

Mobile Technology and Business Process Performance: The Mediating Role of Collaborative Supply–Chain Capabilities

The model developed in this paper aims to explain how mobile technology enables collaborative capabilities that enhance business process performance (BPP). The proposed model is tested using survey data gathered from managers in six European countries. The results suggest that, while mobile technology is positively associated with both external and internal collaborative capabilities, BPP improves to the utmost when the development of internal capabilities precedes the development of external ones.     

How can the Web help build customer relationships?: An empirical study on e-tailing

The Web is increasingly being viewed as a tool and place to enhance customer relationship. In this paper we defined a model to analyze the Web characteristics that aid in building customer relationships and then used this model to examine consumer relationship building mechanisms in online retailing (e-tailing). Through a survey of 177 shoppers who had bought books, CDs, or DVDs online, the causal model was validated using LISREL; 13 out of 14 hypotheses were supported. This research has contributed to both theory and practice by providing a validated model to analyze online consumer relationship building and suggesting mechanisms to help e-tailers focus on online consumer relationship management.     

海洋地质数据库应用模型构建方法

随着海洋地质调查程度的不断深入,海洋地质调查业务越来越多,如何合理地管理使用海洋地质调查数据成为研究热点。文章以面向对象的思想为基础,借鉴POSCEpicentre数据模型和中国石化石油勘探开发数据模型建设思路,提出了面向业务的海洋地质应用模型标准体系架构,介绍了海洋地质调查数据库应用模型的构建方法,对海洋地质调查业务进行系统的分析,详细描述了海洋地质业务模型的分析方法,设计了逻辑模型的构建流程。以海洋地质调查地球物理业务为例,构建了其业务模型和逻辑模型,可以弥补现有海洋地质数据库系统存在的缺陷,提高数据服务的效率。     

Three empirical evaluations of a software reuse reference model

The contribution of this paper is three empirical evaluations of a reference model for the practice of software reuse. Our research thesis is that software development based upon a software reuse reference model improves quality of products, productivity of processes and product time‐to‐market for many software development enterprises. The definition and investigation of such a model has been carried out using three steps. First, the reference model is developed based on existing software reuse concepts. Second, this reference model is empirically evaluated using three studies: one using a survey method, one using a case studies method, and one using a legacy studies method. Third, the impact of the reference model on software development productivity, quality, and time‐to‐market is empirically derived. This revised version was published online in June 2006 with corrections to the Cover Date.     

一种新型钻孔采样数据管理方案

论述了在进行工程勘察软件设计中实际存在的一些问题。针对这些问题在对钻孔采样数据管理时,通过进行科学的数据空间的划分和结构重组提出了一种新型的钻孔数据管理方案,并成功地利用了的维数据处理功能解决了实际存在的困难。文章就该方案实现MAPGIS2.5的数据模型以及模型中使用的关键性技术分别进行了阐述。最后讨论了该模型可能存在的问题以及相应的解决方法。     

A survey of timed automata for the development of real-time systems

Timed automata are a popular formalism to model real-time systems. They were introduced two decades ago to support formal verification. Since then they have also been used for other purposes and a large number of variants has been introduced to be able to deal with the many different kinds of requirements of real-time system development. This survey attempts to introduce a massive and complicated theoretical research area to a reader in an easy and compact manner. One objective of this paper is to inform a reader about the theoretical properties (or capabilities) of timed automata which are (or might be) useful for real-time model driven development. To achieve this goal, this paper presents a survey on semantics, decision problems, and variants of timed automata. The other objective of this paper is to inform a reader about the current state of the art of timed automata in practice. To achieve the second aim, this article presents a survey on timed automata’s implementability and tools.     

Antecedents and outcomes of information privacy concerns in a peer context: An exploratory study

Academic studies typically view privacy threats as originating solely from organizations. With the rise of social media, such a view is incomplete because consumers increasingly face risks from peers’ misuse of data. In this paper, we study information privacy in the context of peer relationships on commercial social media sites. We develop a model that considers relationships between the constructs of privacy experiences, privacy awareness, trust, risk, and benefits and how those relationships impact individuals’ disclosure behaviors. We test the model by creating a survey that includes a number of measures that were taken directly from or were closely based on measures from prior studies. We conduct seven pilot tests of undergraduate students in order to validate the survey items. Working with the online survey firm Qualtrics, we gather a dataset of 314 Facebook users’ responses to our validated survey, and we test our model using partial least squares techniques. We find that both privacy experiences and privacy awareness are quite significant predictors of privacy concerns. We also find that trust, risk, benefits, and privacy concerns work together to explain a large amount (37%) of the variance in disclosure behaviors. We discuss implications for practice and for future research.