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1.
Christian Wagner 《Information processing & management》2019,56(4):1409-1424
Numerous studies have examined the decision-making process and the associated information search behaviour of tourists. However, very few have focused on how tourists make plans for their trips when travelling in groups. This paper adds to the knowledge of the decision-making process of tourist groups with a specific focus on intra-group interaction and the support of technology. This research adopted a mixed-methods approach, combining two studies. Study 1 employed a focus group to gain an understanding of the decision-making process within a tourist group, while Study 2 employed a questionnaire survey to explore how the use of technology in such a process varies among different categories of groups. Study 1 proposed a model for a group holiday decision-making process with four components: information acquisition, intra-group information sharing, knowledge transfer, and decision making. It was adapted from the “Infogineering Model” and the encoding and decoding theory in communication studies. Study 2 identified new influential factors on the use of technology by tourist groups for decision making. Ultimately, this research produced a number of theoretical implications, as well as practical implications in terms of how practitioners can better support Chinese tourists, family travellers, and tourists with little prior travel experience, and how technology can facilitate group holiday decision making. 相似文献
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Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake 总被引：7，自引：0，他引：7
Dave YatesAuthor Vitae Scott PaquetteAuthor Vitae 《International Journal of Information Management》2011,31(1):6-13
The US response to the 2010 Haiti Earthquake was a large effort coordinated by three major agencies that worked in tandem with the Government of Haiti, the United Nations, and many countries from around the globe. Managing this response effort was a complex undertaking that relied extensively on knowledge management systems (KMS). For the first time, however, US government agencies employed social media technologies such as wikis and collaborative workspaces as the main knowledge sharing mechanisms. In this research we present a case study developed through action research of how these social media technologies were used, what influences they made on knowledge sharing, reuse, and decision-making, and how knowledge was effectively (and at times ineffectively) maintained in these systems. First-hand knowledge of the response is used, offering strategies for future deployment of social media and important research questions that remain regarding social media as knowledge management systems, particularly for disaster and emergency management. 相似文献
3.
The study explores the relationship between value attribution and information source use of 17 Chinese business managers during their knowledge management (KM) strategic decision-making. During semi-structured interviews, the Chinese business managers, half in the telecommunications sector and half in the manufacturing sector, were asked to rate 16 information sources on five-point Likert Scales. The 16 information sources were grouped into internal–external and personal–impersonal types. The participants rated the information sources according to five value criteria: relevancy, comprehensiveness, reliability, time/effort, and accessibility. Open-ended questions were also asked to get at how and why value attribution affected the participants’ use of one information source over another during decision-making. Findings show that the participants preferred internal–personal type of information sources over external–impersonal information sources. The differences in value ratings per information source were striking: Telecommunications managers rated customers, newspapers/magazines, and conferences/trips much lower than the manufacturing managers but they rated corporate library/intranet and databases much higher than manufacturing managers. The type of industrial sector therefore highly influenced information source use for decision-making by the study’s Chinese business managers. Based on this conclusion, we added organizational and environmental categories to revise the De Alwis, Majid, and Chaudhry’s (2006) typology of factors affecting Chinese managers’ information source preferences during decision-making. 相似文献
4.
就引进型管理创新而言,获取已有创新知识,实现知识从组织外部向内部转移是关键.管理者所嵌入的社会网络通过提供广泛的多元化知识链接带来显著知识获取优势,促使管理者凭借网络影响力产生经济效益,从而成为管理创新知识获取的重要渠道.立足管理者个体社会网络视角,收集237家企业核心管理者的数据,通过多元回归分析,得出强连接优势显著,结构洞发挥实质作用,知识获取产生部分中介效应,社会网络、知识获取和管理创新引进水平之间整体影响关系成立等结论. 相似文献
5.
Knowledge management is gaining prominence in academia and the world of business practice. The need for organizations in the United Arab Emirates (UAE) to empower themselves through knowledge management cannot be ignored. Yet, not much empirical evidence on the subject can be found in the literature. This study investigates the relationship between knowledge management and organizational performance in the UAE. The knowledge management dimensions considered in this paper are organizational culture, organizational infrastructure, technical infrastructure, management support, reward and vision clarity. Organizational performance is measured in terms of efficiency, customer satisfaction, decision-making, quality of work and financial benefits. A questionnaire was used to collect data from general managers, functional managers, IT managers and chief knowledge officers from a variety of business sectors. Results of one sample t-test show that the dimensions used in this study enhance performance improvement. Results also show that except for reward and vision clarity, all investigated knowledge management dimensions are significantly correlated with performance improvement. 相似文献
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随着Web2.0的发展,知识建构呈现出新的特征：用户不再是单纯的知识“接收者”,还是知识“创造者”,知识建构由单向的认知建构向双向的认知和社会协同建构转变。文章在分析了Web2.0环境特征的基础上,结合认知建构主义与社会建构主义理论,提出Web2.0环境下的认知系统和知识系统协同建构模型,揭示了其中的认知与社会的协同建构机理。文章阐述了其中知识内化与知识外化的双向建构过程,个体的认知系统是通过内部同化拓展认知结构,通过内部顺应学习改变其认知结构,进而通过外部同化和和外部顺应建构知识系统。其中认知冲突是刺激认知系统与知识系统向前演化的主要驱动力,能够促进内部顺应与外部顺应的发生;而交流与沟通则是两个系统间相互作用的中介,也是解决个体之间和群体之间冲突的手段。最后,以维基百科为例对模型进行了进一步的解释。 相似文献
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Citizens with different demographic characters presented varying responses and behaviors in the same disasters. Their divergent responses can impact their actual damages during crises. Previous studies have employed social media for analyzing citizens’ crisis responses. However, these studies missed the demographic dimension. To resolve this limitation, this research proposes three objectives: 1) to explore the variances of sentiment polarities among different racial/ethnic and gender groups; 2) to investigate the concern themes in their expressions, including theme popularity and their sentiment towards these themes; 3) to enhance the understanding of social aspects of disaster resilience with the results of disaster response disparities. Results indicate that Hispanic and male groups are more likely to express negative sentiment. The black group pays the least attention to ‘hurricane warn’ and shows most interests in ‘pray/donate’. The white group is most optimistic about hurricane/flood impacts while the black group shows dissatisfaction towards ‘response’. The female group pays less attention to ‘hurricane warn’ while they are more optimistic towards ‘hurricane/flood impact’ and ‘response’ than the male group. Our findings can help crisis response managers identify the more sensitive/vulnerable groups in the crisis and provide on-target disaster evolution reports and relief resources to the corresponding demographic groups. 相似文献
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微信群已经成为人们移动在线社交最活跃的社区,从社会资本角度研究用户在 不同微信群的知识共享意愿是值得深入探讨且具有广泛影响的重要问题。本文基于社会资本 理论,将微信群分为粘结型群、维持型群和桥接型群三类,探究结构、关系和认知三个维度 的社会资本对用户在三种类型微信群知识共享意愿的影响及其差异。使用 WarpPLS 对问卷 调查获得的 244 份有效样本进行模型验证。研究结果显示在结构维度方面,网络连通性只对 用户在桥接型群的知识共享意愿有正向影响,网络亲密性只对维持型群和桥接型群的知识共 享意愿有正向影响;在关系维度方面,认同对用户在三类微信群的知识共享意愿均有正向影 响,而信任和互惠只对桥接型群的知识共享意愿有正向影响;在认知维度方面,共同语言对 用户在三类微信群的知识共享意愿均有正向影响,共同愿景只对维持型群的知识共享意愿有 正向影响。本研究对个人或组织认识人们在代表不同人际圈子的微信群中的知识共享规律, 从而高效地获取知识和创新管理具有重要的理论和现实意义。 相似文献
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To reduce information technology (IT) development costs, more firms have begun to outsource IT-related activities by partnering with IT vendors. As knowledge is a valuable asset in IT development, knowledge sharing between vendors and business clients becomes critical. However, the motivation behind IT vendors’ willingness to share knowledge with client firms is not sufficiently understood. To shed light on the nature of knowledge sharing within vendor–client partnerships, we examine the influence of performance feedback and managerial mindset on vendors’ motivation to share knowledge with their clients. We adopt a multi-method approach involving both a scenario-based field experiment with 164 vendor managers (Study 1) and a field survey of 112 vendor managers involved in IT development (Study 2). We find that when vendors’ performance exceeds their aspiration levels, they are motivated to share knowledge with clients. Such motivational effects are more pronounced for vendor managers exhibiting abstract mindsets. Our study is of significant value to researchers and practitioners, affording both groups a keener, deeper, and more robust appreciation for how knowledge sharing in vendor–client partnerships can be managed more effectively. 相似文献
10.
虽然知识对创新合法性的作用受到关注,但相关研究却忽视了知识搜索策略对创新合法性的影响,且尚未揭示这种影响的决策情境。文章整合知识搜索、创新合法性与决策理性理论,分析了适应式搜索与变革式搜索对创新合法性的影响,以及因果推理和效果推理的调节效应,并利用212家制造企业的数据进行实证。结果表明：适应式搜索和变革式搜索对创新合法性分别有倒U形、U形作用;因果推理增强适应式搜索与创新合法性的关系,而削弱变革式搜索对创新合法性的作用,效果推理的调节作用与之相反;因果/效果双元决策理性正向调节适应式搜索和变革式搜索与创新合法性的关系。 相似文献
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This paper investigates the research question if senders of large amounts of irrelevant or unsolicited information – commonly called “spammers” – distort the network structure of social networks. Two large social networks are analyzed, the first extracted from the Twitter discourse about a big telecommunication company, and the second obtained from three years of email communication of 200 managers working for a large multinational company. This work compares network robustness and the stability of centrality and interaction metrics, as well as the use of language, after removing spammers and the most and least connected nodes. The results show that spammers do not significantly alter the structure of the information-carrying network, for most of the social indicators. The authors additionally investigate the correlation between e-mail subject line and content by tracking language sentiment, emotionality, and complexity, addressing the cases where collecting email bodies is not permitted for privacy reasons. The findings extend the research about robustness and stability of social networks metrics, after the application of graph simplification strategies. The results have practical implication for network analysts and for those company managers who rely on network analytics (applied to company emails and social media data) to support their decision-making processes. 相似文献
13.
国家制度差异如何影响我国企业跨国并购活动一直存在争议,本文从国家制度差异与企业组织惯例两个视角来评价我国企业跨国并购决策问题。本文基于2008-2014年我国资源型企业跨国并购数据,采用清晰集定性比较分析方法对我国资源型企业跨国并购的决策模式进行了分析。研究发现,我国资源型企业跨国并购的决策模式可以总结为三种范式:第一,当东道国具有完善的管制制度体系时,企业采用非现金支付方式以及积极的跨国并购策略是企业并购成功的关键。第二,当东道国市场不确定性规避较高,并且东道国政府对于资源市场管制较为严格时,采用现金支付方式能够提升企业跨国并购的成功率。第三,当东道国具有完善的管制制度体系,同时企业又有丰富的东道国并购经验时,采用现金支付方式也能够取得跨国并购的成功。 相似文献
14.
《International Journal of Information Management》2017,37(6):627-638
The proliferation of social commerce has changed customers’ purchase decision-making process. However, few studies have investigated the roles of social commerce factors on customers’ purchase decision-making. Based on the social learning theory, we develop a research model to examine how customers’ learning behavior along three main social commerce components (SCCs) affects customers’ attitude in both cognitive and affective dimensions and how such attitude determines customers’ purchase intention. The results from a survey of 243 actual users of social commerce websites suggest that cognitive and affective appraisals are the main predictors of purchase intention, with cognitive appraisal having a higher predictive power than affective appraisal. In addition, learning from forums and communities and learning from ratings and reviews have significant influences on both cognitive and affective appraisals, while learning from forums and communities plays a more important role in formulating affective appraisal and learning from ratings and reviews plays a more important role in determining cognitive appraisal. Contrary to our expectation, learning from social recommendations has no significant influence on either cognitive or affective appraisal. In summary, these findings provide a comprehensive understanding about customers’ purchase decision-making process and extend the application scope of social learning theory. The findings also provide social commerce managers guidance in designing more effective websites and allocating resources and efforts reasonably on different SCCs. 相似文献
15.
文章以第七至十一次全国私营企业抽样调查数据库为样本,实证检验了企业家地位认同如何影响家族企业研发投资,以及两者之间的关系是否会依赖于维系性政商成本和政治纽带而发生变化。研究发现：（1）随着企业家地位认同感的增强,家族企业会强化其研发投资行为;（2）维系性政商成本越高,企业家地位认同与家族企业研发投资的正向关系更显著;（3）在缺乏政治纽带的企业家群体中,企业家地位认同对家族企业研发投资的正向影响更加显著。研究结论从理论前沿角度对“企业家个体意志”到“企业研发行为”的主导逻辑给出了新的描述,丰富了企业家地位认同问题的相关研究。 相似文献
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知识优势对企业竞争力的重要作用一直备受关注,但知识优势对企业竞争力的转化机理问题却很少有研究。在回顾国内外相关研究基础上,构建了知识优势对企业竞争力的作用机理模型,并选取华为企业进行案例分析。研究表明：(1)企业持续竞争优势的获取实际上就是企业打造知识优势的过程,知识优势对企业竞争力提升具有至关重要作用；(2)知识优势对企业竞争力的转化过程分别经历了“内部知晓-内部响应-外部知晓-外部响应”知识链环节,对应于“知识获取与吸收-知识内化”、“知识应用与创新-知识生产”、“知识积累与积淀-知识外化”三个部分。本研究揭示了企业竞争力形成的内在转化机理,为企业管理者培育和提升企业竞争力提供理论指导和决策参考。 相似文献
17.
本研究基于自我归类理论和社会需要理论，探索个体感知差异对职场排斥和知识共享行为的影响，以及成就需要和归属需要在这个过程中的调节效应。利用来自356位企业员工的样本数据，采用分层回归的方法进行假设验证。结论显示个体感知差异负向影响知识共享行为，职场排斥中介了二者之间的负向关系，个体成就需要和归属需要反向调节个体感知差异与知识共享行为、个体感知差异与职场排斥之间的关系。研究结果为知识共享领域的研究提供了新的视角和框架，同时对企业管理实践有一定的现实意义。 相似文献
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现代投资估价理论方法的发展为项目投资管理决策提供了科学、有效的支持。从现代定量分析工具来说，投资估价存在的问题不是缺少模型，而是可选择的模型太多。对项目投资估价理论方法及其发展进行剖析，并对我国项目投资估价形势进行分析，为相关管理决幕者选择采用适宜的理论方法理顺思路、奠定分析基础。 相似文献
19.
企业联盟中的知识获取与企业之间人员的非正式关系紧密相关.以联盟企业之间的高层管理人员个人关系资源为出发点,对企业联盟中的知识获取问题进行了深入探讨,分别从两两联盟层次与联盟网络层次,构建了基于高层管理人员个人关系资源的知识获取机制的理论分析框架,并对这一理论框架中的具体问题进行了探讨. 相似文献
20.
《The Journal of High Technology Management Research》2023,34(2):100470
Due to the uncertainty of the market and the intensity of rivalry, business owners and managers are often compelled to experiment with a wide variety of strategies for enhancing their company's performance. By enhancing the timeliness and quality of inputs to the decision-making process, Business Intelligence (BI) is one such idea and tool that combines operational data with analytical tools to show complex and competitive information to planners and decision-makers. Business intelligence (BI) tools help companies rapidly generate insights that guide managers toward operational efficiencies, lead them to new opportunities, and set them apart from the competition. The literature study shows that there is a debate about whether BI tools have an effect on the quality of decisions and the development of businesses. The present research explores the varied empirical facets of BI application through ML models. This study concluded with a discussion of how Machine Learning models can be used to assess the value of BI tools. Machine learning models, fed with historical data and a wealth of input features, can foresee the effect of new systems on metrics like revenue development, customer behavior, and inventory management. Using these models, businesses will be able to better evaluate potential investments in new tools and systems. 相似文献