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1.
[目的/意义]大数据时代下，明确电子商务数据质量关键影响因素，无论对于电子商务企业准确把握数据质量改进方向还是学界聚焦商务数据质量根源性问题都有着重要意义。[方法/过程]通过扎根理论分析法对半结构化访谈获得的质性材料进行逐级抽象归纳，得出影响电子商务数据质量的影响因素，再通过复杂系统因素重要性判定的DEMATEL模型，对因素间关系进行计算。[结果/结论]经测算，发现电子商务数据质量的"起源型"影响因素包括数据质量的监管机制、质量意识、标准与规范、明确数据利用目的等因素，"结果型"因素包括数据开发应用管理、数据处理过程约束、质量意识等因素，而关键影响因素则主要集中在监管机制、质量标准、利用需求、质量意识等方面。 相似文献
2.
Big data analytics associated with database searching, mining, and analysis can be seen as an innovative IT capability that can improve firm performance. Even though some leading companies are actively adopting big data analytics to strengthen market competition and to open up new business opportunities, many firms are still in the early stage of the adoption curve due to lack of understanding of and experience with big data. Hence, it is interesting and timely to understand issues relevant to big data adoption. In this study, a research model is proposed to explain the acquisition intention of big data analytics mainly from the theoretical perspectives of data quality management and data usage experience. Our empirical investigation reveals that a firm's intention for big data analytics can be positively affected by its competence in maintaining the quality of corporate data. Moreover, a firm's favorable experience (i.e., benefit perceptions) in utilizing external source data could encourage future acquisition of big data analytics. Surprisingly, a firm's favorable experience (i.e., benefit perceptions) in utilizing internal source data could hamper its adoption intention for big data analytics. 相似文献
3.
目的：探讨电子病历档案接口的研发与利用。方法：设计病案统计管理系统与H1S（医院信息管理系统）的接口衔接,病历档案的开发利用。结果：极大地节约了时间,提高了工作效率和准确性。结论：通过接口转接病历信息避免了重复劳动,达到了资源共享。编辑分析汇总后的资料,挂接在医院局域网上,为医院管理、临床诊疗、教学、科研和病历档案管理提供了方便、快捷的服务。 相似文献
4.
【目的/意义】通过识别影响在线医疗信息服务质量的敏感因素,为互联网在线医疗信息服务企业实现技术与服务创新提供理论与实践依据,进而提升用户在线医疗信息服务质量。【方法/过程】以问卷调查法与专家访谈法等为基础融合信息增益理论分析各影响因素与在线医疗信息服务质量高低的关联程度,进而以提取的关键影响因素构建在线医疗信息服务质量关键影响因素模型,最后通过SVM构建在线医疗信息服务质量预测模型。【结果/结论】影响在线医疗信息服务质量的20个关键影响因素集中在信息生态的四个重要维度,即信息、信息任、信息技术与信息环境四个维度上,模型88.43%的预测精准度说明SVM对在线医疗信息服务质量具有可靠的预测能力。 相似文献
5.
Master data management (MDM) is a data management practice, which attempts to increase data quality and data use across business processes throughout the organization. This paper observes how data ownership, responsibilities, and roles change during MDM development. The metaphor of imbrication was used as a theoretical lens to identify the factors that influenced the change, and to analyze the change as a result of the intertwined social and material factors. We derive ethnographical data from two MDM projects in a municipality over a time period of 32 months, and describe how data ownership and data governance roles and responsibilities were perceived, and how they evolved during the development. As a result, MDM data ownership is emphasized, and has distinct features in relation to roles and responsibilities. Ownership had on impact on how the development proceeded, and how the roles and responsibilities evolved. 相似文献
6.
为剖析技术创业企业商业模式创新多重前因的联动效应,基于商业模式冰山理论构建了商业模式创新前因的组态模型,以31家技术创业企业为样本, 采用模糊集定性比较分析方法,分析了技术创业企业商业模式创新多重前因的联动效应。研究结果表明：（1）技术创业企业商业模式创新具有“多重并发”和“殊途同归”的特点,单一要素难以构成商业模式创新的必要条件;（2）网络嵌入与资源整合能力的协同作用对技术创业企业商业模式创新至关重要;（3）在高度的环境不确定情况下,资源整合能力和机会识别能力的协同作用,以及网络嵌入和战略柔性的协同作用是技术创业企业商业模式创新的重要途径。本研究进一步发展了商业模式冰山理论,丰富了商业模式创新前因的研究成果,为解释既有研究的分歧提供了新视角,也为技术创业企业根植自身情境实现商业模式创新提供了理论指导。 相似文献
7.
针对我国高校科技创业教育进行深度访谈调研,对深度访谈数据进行分析与归类,得到4类影响因素和18个具体关联因素,在此基础之上构建出高校科技创业教育模型,并使用问卷调查数据对深度访谈数据进行完整性及延展性检验,结果显示深度访谈数据与调查问卷数据具有良好的一致性,因此调查问卷数据具备较好的延展性,进一步说明模型具有较强的完整性.通过两种数据的交叉验证,结果显示高校科技创业教育模型是科学有效的,但受限于验证样本数量,对于模型的完整性需要进一步验证.最后对高校科技创业教育提出三点改进建议,包括构建产学研联动治理模式、增强高校科研创业教育课程中的实践环节及加大高校科研能力向技术应用开发方向的投入. 相似文献
8.
This study uses the resource-based view to explore the impact of data volume, data velocity, and data variety, which are the main characteristics of big data, on firm performance and the mediating roles of data value and data veracity on these relationships. To test the research model, we collected data from 143 top and middle level managers in the United States. The findings show that data variety positively improves data value generation, whereas data volume and data velocity do not impact it. Additionally, while data volume negatively impacts data veracity, data velocity and data variety positively impact it. Findings indicate the necessity of conceptually differentiating among big data characteristics in investigating their impacts on firm outcomes instead of treating big data as a holistic variable. The study provides useful insights for researchers and managers willing to better understand the role of big data characteristics in influencing firm performance. 相似文献
9.
在线评论的出现推动了消费者网络购物决策行为的展开,以DEMATEL方法为基础,研究在线评论有用性的影响因素,为进一步促进消费者网络购物决策,推动网络购物决策理性行为的展开提供理论借鉴。在构建在线评论有用性影响因素体系基础上,运用模糊集理论与DEMATEL方法,分析15个影响在线评论有用性因素的属性及其相互关系,并识别出其中消费者专业知识、评论者信息披露、商品涉入度、评论写作风格、评论及时性以及评论信息完整性等6个关键影响因素。根据研究结论提出消费者信息管理是当务之急,商家需要进一步针对不同价位商品,注重评论内容的管理,促进消费者间的社会交流。 相似文献
10.
【目的/意义】针对用户在线医疗社区使用意愿影响因素文献中存在实证结果不一致的问题,对相关实证研
究进行分析。【方法/过程】采用元分析方法对用户在线医疗社区使用意愿相关的38篇实证文献、13033个独立样本
进行综合分析。【结果/结论】研究发现,共有33个因素显著影响用户在线医疗社区使用意愿,其中情感信任因素的
相关程度最高,感知风险因素的相关程度最弱,并且与用户使用意愿呈负相关。同时研究识别了被试对象特征作
为调节变量对用户使用意愿的影响,发现是否患病和年龄是导致不同研究存在异质性的主要原因。【创新/局限】本
研究梳理了用户在线医疗社区使用意愿影响因素,部分解决了相关研究中存在结论不一致的问题,为用户在线医
疗社区使用意愿的进一步研究提供了理论依据。但对变量缺少细分,后续研究将进一步细分用户在线医疗社区使
用意愿。 相似文献
11.
Jen-Ruei FuAuthor Vitae 《International Journal of Information Management》2011,31(3):279-293
Using push-pull-mooring framework and investment model as theoretical lenses, this study provides a compelling theoretical model that helps understand the important antecedents of career commitment of IT professionals. Especially, we examined the moderating role of IT career tenure. Data to test the hypotheses were drawn from a cross-sectional field study of MIS departments from top-1000 large-scale companies in Taiwan. The results generally supported the research model. Career satisfaction was the most important determinant of career commitment, followed by professional self-efficacy, threat of professional obsolescence and career investment. The moderating analysis revealed distinct patterns that IT professionals seemed to hold different attitudes about the careers at different stages. The career attitudes of senior IT professionals were largely driven by push factors. On the contrary, the expelling forces which driving people away from their current careers (push effects) and personal inhibitors and facilitators (mooring effects) seemed equally important to junior IT professionals on their attitudes toward committing to the IT career. Insight and implications on management strategy for IT/HR managers are discussed. 相似文献
12.
质量管理有效性的评价涉及多个输入输出指标的综合评价。在构建质量管理有效性评价指标体系的基础上,利用数据包络分析法对质量管理有效性进行了评价,并进一步用典型相关分析法对有效企业和无效企业的主要影响因子做了提取和分析,为企业正确决策提供信息支持。 相似文献
13.
研究领先用户,可以了解未来市场发展趋势和捕捉用户需求变化,开发更具市场潜力的新产品或服务等,并增加企业新产品或服务的竞争优势。但相关研究尚未成熟,且国内研究十分缺乏。基于相关外文数据库对领先用户理论研究的重要成果进行了梳理,深入分析了领先用户的概念、量表与测量和影响因素等。研究发现：（1）领先用户是指在特定领域处于重要市场前沿地位（领先市场趋势）,并期望从满足需求的解方案中获得高收益（高期望收益）的用户;（2）量表包括领先市场趋势和高期望收益两个基本维度;（3）影响因素由领域相关变量、领域独立变量和动机构成。最后,对未来研究方向进行了展望,以期为国内学者进一步研究领先用户及企业与领先用户合作进行新产品开发提供参考。 相似文献
14.
作为跨组织知识管理研究的重要领域,协同知识管理实践(CKMP)是实现企业间知识协同,提升产业集群创新能力的关键因素。然而已有相关研究未能深入探讨如何成功实施CKMP以及CKMP对组织竞争优势获取的影响。为了弥补现有研究不足,本文在明晰CKMP内涵的基础上,详细分析了其前因和后果变量,并以5个地区的342家集群企业为样本进行实证研究。研究发现:(1)CKMP是一个由协同知识创造、协同知识存储、无障碍的知识获取、协同知识扩散以及协同知识应用构成的多维构念;(2)CKMP的成功实施受到组织特点、知识属性以及协同情境等三方面因素的影响;(3)不同因素对CKMP的影响效果有差异,知识属性的影响效果最强,组织特点次之,协同情境相对较弱;(4)CKMP与知识质量、集群供应链整合以及组织创新呈显著正相关。本文提出了协同知识管理实践前因及后果变量的整合模型,是对现有知识管理理论的有力补充。 相似文献
15.
科技与管理人才已成为地区和企业竞争的重要资源之一。对影响科技与管理人才流动的主要因素,学者们已经展开了深入研究并取得了丰硕成果。但现有研究忽略了企业和科管人才在流动因素认知上可能存在的差异。而这种差异往往会影响到政府和企业的人才引进决策。通过对安徽省科管人才以及企业负责人的调查研究,发现了两组样本在科管人才流动的三大因素(企业、经济和政策因素)上的认知差异。最后,分别对企业和地方政府提出了政策建议。 相似文献
16.
数据作为关键的生产要素,极大地影响着高校科研管理和现代化水平,但是当前高校科研项目数据质量无法满足要素资源价值充分挖掘和释放的需求。因此本文结合国内科研项目数据管理理论及借鉴国外先进经验,以哈尔滨工业大学科研项目数据管理为例,从提高科研项目数据质量出发,对数据产生、存储、加工和应用的生命周期进行综合分析,将治理理念及政策要求整合迭代为科研项目全过程管理的流程再造,为持续促进一流大学以高质量科研项目数据为关键要素的科研管理能力的全面提升提供建设思考。 相似文献
17.
Research data management (RDM) is an important prerequisite for a substantial and sustainable contribution to knowledge. There is a pressing need to examine why researchers hesitate to store, annotate, share and manage their research data. To model underlying psychological factors influencing researchers’ refusal to conduct RDM, the social exchange theory is extended with elements from prospect theory. Thus, it allows psychological insights into researchers’ decision-making, and illustrates the role of cost and benefit evaluations under uncertainty. Data management policies of a major funding agency were presented to a homogeneous group of researchers from the Information Systems community in Germany. The findings show that many researchers see a high value in RDM but are still held back by uncertainty. While the benefits seem to outweigh the costs, we ascertain the uncertainty factors which hinder researchers’ intention from conducting RDM in the future. The perceived fear of losing control over one's data is identified as a major hindering factor, while the fear of losing one's unique value did not prevail. The study provides novel insights for executives, administrators, and developers in higher education institutions, which are especially important for furthering RDM implementation strategies, as well as for system development. 相似文献
18.
《International Journal of Information Management》2017,37(3):150-154
Open data aims to unlock the innovation potential of businesses, governments, and entrepreneurs, yet it also harbours significant challenges for its effective use. While numerous innovation successes exist that are based on the open data paradigm, there is uncertainty over the data quality of such datasets. This data quality uncertainty is a threat to the value that can be generated from such data. Data quality has been studied extensively over many decades and many approaches to data quality management have been proposed. However, these approaches are typically based on datasets internal to organizations, with known metadata, and domain knowledge of the data semantics. Open data, on the other hand, are often unfamiliar to the user and may lack metadata. The aim of this research note is to outline the challenges in dealing with data quality of open datasets, and to set an agenda for future research to address this risk to deriving value from open data investments. 相似文献
19.
[目的/意义]移动医疗用户采纳行为是“互联网+健康”的重要组成部分,对其展开深入分析可完善电子健康和互联网医疗的理论研究和实践应用。[方法/过程]以CNKI和Web of Science为数据源,采用系统综述方法对该领域2012-2017年间最具代表性的42篇文献展开分析。在知识基础研究部分中,从研究理论、研究方法和研究框架等视角进行了系统的梳理和归纳;在影响因素研究部分,基于信息生态理论探究了信息因素、信息人因素、信息技术因素和信息环境因素等内容;在前沿展望研究部分,基于研究主题、研究群体和研究方法等的分类标准,探究了未来可行的、具有较大研究价值的热点选题。[结果/讨论]移动医疗用户采纳行为是信息、个体、系统和环境共同作用的结果。未来的研究重点和热点将会有显著的转移,并形成全新的知识生态体系。移动医疗用户采纳行为的理论研究和实践应用将引来全新的变革。 相似文献
20.
The success of the iPhone has created the smartphone application marketplace as a new business model for freelance developers, with significant potential yields. Attracting and retaining these freelance developers is an important success factor for smartphone platform owners. Therefore, using the viewpoint of freelance developers, this study adopts a discovery-oriented approach to explore antecedents of intentions to maintain a relationship with an incumbent platform. In a relationship commitment sense, freelance developers sustain incumbent relationships because of their calculative and affective commitments. Interview data further suggest that monetary rewards, potential market demand, and switching costs relate to calculative commitment; perceived service quality, identification with the platform owner, and intrinsic rewards are antecedents of affective commitment. The findings from the literature review and field research together produce an integrative framework that offers key insights for the smartphone application market, which can help central actors understand how to retain their external partners. 相似文献