Knowledge sharing behaviors in social media

PurposeUsers on Social Media (SM) platforms make many decisions related to content sharing, such as whether to create or reuse content, whether to label for easy access by an interest group or not, and whether to disseminate to targeted individuals or broadcast to general audiences. In this study, we investigated if these content-related strategies on SM, called social media knowledge sharing behaviors, are determined by user characteristics.MethodologyUsing concepts from Self-Motivation Theory and the Affordance Theory, we examined if the knowledge sharing behaviors are influenced or correlated with user characteristics, such as the intensity of engagement on SM, a strong preference attitude for a SM platform, and multiple functional intentions for using SM. Based on this survey study of one hundred and twenty-three subjects, we developed hierarchical regression analyses to test if the SM user's knowledge decisions (Creation, Framing and Targeting) are corelated with the user's online usage intensity, their SM online platform preferences, and their functional intentions (Intensity, Preferences and Functionality). We complemented the regression models with a more comprehensive path analysis for an integrative hypothesis testing.FindingsThe main findings show that knowledge creation and knowledge targeting behaviors were correlated with multiple functional intentions (or needs) of users, meaning that users who utilized SM in order to fulfill many needs create and broadcast knowledge more than users that utilized SM in order to fulfill fewer needs.OriginalityThe study investigates the relationship between detailed knowledge sharing behaviors afforded by the social media tools and different user self-determination factors, such as intensity, preference and needs. This study further describes the attributes of social media sharing as a bundle of content sharing strategies of creation, sharing and targeting, which are used differently based on different user characteristics and motivations.     

面向并行工程的知识管理研究

知识经济和大规模定制等概念的提出，使得企业把知识财富作为获得竞争优势的战略要素来看待，企业知识管理由此受到学术界和企业界的共同关注。知识管理方法和工具集同并行工程现有方法和工具集的结合，产生了一个新的研究和应用领域，作者在跟踪国外研究和并行工程实践经验的基础上，对这一新兴领域的基本内容，实施方法和关键技术作了初步的讨论，以期引起国内学术界和企业界对该领域的关注，促进我国企业形成自己的核心竞争能力。     

Knowledge integration and sharing for complex product development

Product development is a highly creative and knowledge-intensive process that involves extensive information and knowledge exchange and sharing among geographically distributed teams and developers. How to best integrate such heterogeneous product knowledge has become an extremely important knowledge management (KM) subject associated with product development. Product development knowledge integration and sharing is becoming a key issue in the enterprise KM. This paper addresses the challenges of product development knowledge integration and sharing during product development. The aim of this research work effort is to develop a method to enhance the integration and sharing of product knowledge during the development phase. This study presents a systematic approach to developing knowledge integration and sharing for product development. The proposed approach includes the steps for designing a framework of product development knowledge sharing, developing representation model for product development knowledge, designing product development knowledge sharing process, designing product development knowledge integration ontology, developing knowledge integration and sharing method for product development based on ontology, and implementation of product development knowledge integration and sharing method. The proposed method could bring out an efficient and proactive way for knowledge integration and sharing among product developers in the product development process.     

在时间变化中获取知识──一个在持续变化的市场条件下获取知识的方案

项目共同体──质量体系处理程序5．4（QS－VP5．4）的目的是,通过其研究和开发活动,开发未来的管理和战略工具并根据企业特有条件予以修正。这些工具应在企业中有效地支持“市场”工作以及个顾客乃至员工更加满意。     

计算机情报检索技术浅谈

文章对计算机情报检索技术中的方法及应用作了叙述。指出了文献检索中将会遇到的问题及解决的办法。给出了检索实例和结论。     

Knowledge management in two universities before and during the COVID-19 effect in Peru

Knowledge management evaluation is an important and complex problem in Peruvian universities. An efficient policy in knowledge management is a critical success factor and will also advance teaching and research. Likewise, innovation is a key resource for the well-being of national economies and international competitive advantage, especially with COVID-19 9 restrictions. This research article has demonstrated that an assessment of knowledge management (KM) capability in two private universities could be used for an efficient policy, in order to obtain the best result in knowledge management maturity. Having discussed how to construct a model for KM, the final section of this paper addresses ways of the incorporation of this technology in the society. The case study has been developed in Lima, associated to two universities with 271 teachers and 5928 students; with this model could be used for KM assessment in all university in Peru. This study uses the “Intellectus Model, Mejia model organizational knowledge capability areas and Knowledge Management Capability Assessment (KMCA) model for the assessment, before and during COVID-19. Our findings have demonstrated the university performance and challenges associated to knowledge management during COVID-19, the new policy for virtual instructions and digital transformation of the educational process have improved the cost efficiencies. However, this system also has a number of serious drawbacks and challenges in innovation, researching, connections with industry and academy; this 2021 requires a new perspective in innovation with a knowledge management scheme in Peruvian universities.     

Knowledge management performance measurement based on World-Class Competitive Advantages to develop strategic-oriented projects: Case of Iranian oil industry

Knowledge Management (KM) is one of the main sources for achieving World-Class Competitive Advantages (WCCAs), and is also an incentive for the development of strategic-oriented projects. Because subsidiaries of the oil industry are always looking for WCCAs to implement their strategic-oriented projects, it is important to measure WCCAs-based KM performance. We offered a WCCAs-based Knowledge Management Performance Measurement (KMPM) instrument to develop strategic-oriented projects and validated it in the Iranian oil industry. Based on an in-depth review of previous studies, the indicators of KMPM that could lead to WCCAs were extracted. Then, an exploratory factor analysis and a confirmatory factor analysis were used to identify and confirm the criteria of the proposed instrument. Based on the proposed instrument, the KM performance of the subsidiaries of the Iranian Ministry of Petroleum (MoP) was assessed, and finally, strategic-oriented projects were suggested. Our proposed instrument includes four main criteria, namely “knowledge quality”, “knowledge utility”, “knowledge innovation”, and “business results”, all of which are valid in the Iranian oil industry. Our findings also present 17 strategic-oriented projects. The policymakers and the top managers of the surveyed companies could obtain more knowledge regarding measuring the WCCAs-based KM performance, and utilize it to develop their strategic-oriented projects. The present research is one of the first studies of its kind that provides a WCCAs-based KMPM instrument and expands the literature on KMPM and WCCAs.     

包装工程学科核心知识和知识体系探讨

提出包装工程学科的核心知识是包装防护学和包装艺术学.二者分别从科学和艺术的角度研究实现包装的自然功能和社会功能的理论,并有机结合到一起,构成包装设计的理论和思想.作者按照包装的整个实现过程将包装工程学科体系划分为4个层次,明确了该学科今后的发展重点和方向.     

基于因特网的知识管理工具的设计

基于因特网的知识管理工具能够支持企业有效、快速地识别、获取、开发、分解、储存和传递知识 ,从而使每个员工在最大限度地贡献出其积累的知识的同时 ,也能享用他人的知识 ,实现知识共享 .本文主要介绍了一个基于因特网知识管理工具的设计思想、框架及所用的知识管理模型等 .知识管理模型包括知识结构图、知识利用图、知识分布图以及知识传递图等     

制造企业知识管理实施方法的探讨

企业知识管理实施是一项系统工程，本文从企业知识管理概念模型出发，从企业战略选择，企业文化培养，企业组织创新和有效的知识管理的构建四个方面对知识管理的实施进行了讨论，分析表明：知识管理的实施不是四个方面的简单叠加，需要各方面的协调发展，需要针对企业自身情况，通过企业各子系统和过程的整合，建立适合自身特点的具有特色的知识管理模式是企业知识管理实施的最佳选择。     

A Practical Approach to Constructing a Knowledge Graph for Cybersecurity

Cyberattack forms are complex and varied, and the detection and prediction of dynamic types of attack are always challenging tasks. Research on knowledge graphs is becoming increasingly mature in many fields. At present, it is very significant that certain scholars have combined the concept of the knowledge graph with cybersecurity in order to construct a cybersecurity knowledge base. This paper presents a cybersecurity knowledge base and deduction rules based on a quintuple model. Using machine learning, we extract entities and build ontology to obtain a cybersecurity knowledge base. New rules are then deduced by calculating formulas and using the path-ranking algorithm. The Stanford named entity recognizer (NER) is also used to train an extractor to extract useful information. Experimental results show that the Stanford NER provides many features and the useGazettes parameter may be used to train a recognizer in the cybersecurity domain in preparation for future work.     

Knowledge transfer in multinational corporations

Abstract and Key Results

Motivating business towards innovation: A panel data study using dynamic capability framework

National strategic dynamic capabilities refer to the nations' ability to acquire, develop, and transfer national resources into innovation. This would help provoke firms and individuals’ capabilities to sense and seize to expedite innovative performance transformation. This study suggests that through the dynamic capabilities (DC) framework, the government can increase Innovation by channelizing the economic innovation system indicators. Macroeconomic indicators from 62 countries were taken to assess the significance of indicator-based dynamic capabilities model. The results confirm that sensing and seizing indices motivate Innovation, while the cost of business negatively moderates sensing. This model suggests that governments can motivate Innovation by exploring the indicators which are determining the sensing and seizing environment of decision-makers in businesses.     

Knowledge creation and diffusion of Taiwan's universities: Knowledge trajectory from patent data

The university sector, receiving government funding to perform basic research, is designated to produce and widely disseminate innovative knowledge to industry in many countries, particularly in latecomer countries such as Taiwan. Knowledge flows occurring in university research can be traced with patent data. This exploratory study aims to investigate knowledge creation and diffusion of Taiwan's universities by using university patents as the proxy. The empirical analysis finds a dramatic increase in the number of university patents after 2002. Some implications are derived based on this empirical analysis. Moreover, the cross-national citation behavior of university research would be worthwhile for conceptualizing transnational innovation networks in future studies.     

基于感性工学与知识工程的用户需求认知研究

目的提出基于感性工学与知识工程的用户需求认知模型以促进产品设计领域更好地满足用户需求。方法首先从基本理论、流程、相关技术等角度出发介绍感性工学与知识工程;然后依据其在产品设计领域具有相似性及互补性,将两者结合并提出基于感性工学与知识工程的用户需求认知模型;最后通过自行车设计案例进行模型应用的简单介绍。结果在基于感性工学与知识工程的用户需求认知模型中,知识工程模块能确保设计方案在物理层面满足用户功能需求,感性工学模块则能确保设计方案在心理层面满足用户感性需求,因此该模型生成的设计方案能够在物理层面和心理层面同时满足用户需求。结论在产品设计领域,感性工学与知识工程的结合能更高效、更合理地满足用户需求。     

External and Internal Knowledge in the Knowledge Generation Function

This paper explores the role of internal and external knowledge in the generation of new technological knowledge. It implements the notion of recombinant knowledge generation function with the appreciation of: (i) the complementary—as opposed to supplementary—role of external knowledge and (ii) the role of the size and composition of the internal stock of knowledge. The empirical section is based upon a panel of companies listed on the main European financial markets for the period 1995–2006. The econometric analysis is based on simultaneous equations. The results confirm that R&D efforts and external knowledge are indispensable inputs into the generation of new technological knowledge.     

Age-Related Differences in the Motivation of Knowledge Workers

Abstract:

With the impending retirement of the Baby Boom Generation, retention of older knowledge workers, defined as engineers, scientists, and information technologists, has become important to engineering managers. Traditional theories of worker motivation have not adequately addressed the impact of worker age on factors that affect worker motivation. The study outlined in this article gathered data regarding the satisfaction and importance of motivational factors to determine if there are differences in their impact on older and younger knowledge workers.     

广义企业参考模型:企业重要的知识资源

知识正在成为企业的主要财富。而广义企业参考模型是企业重要的知识资源，包括广义产品参考模型和广义过程参考模型。本文对广义企业参考模型的类型、作用、建模方法、管理和使用等进行了研究，目的是使人们对广义企业参考模型有一个比较全面的认识，促进广义企业参考模型的应用，使企业的知识资源能得到更好的保存、共享和重用。在广义企业参考模型的建立和使用中，成组技术发挥了重要的作用。     

An Enterprise-Wide Knowledge Management Approach to Project Management

Abstract

Few research studies investigate the relationship between enterprise knowledge management (KM) and project management (PM). These studies have shown that today’s PM approaches do not sufficiently include the required KM processes to derive the highest value from project investment. This research highlights the potential benefits of implementing an enterprise-wide KM approach to project management. The relationship between the four KM pillars, as defined by Stankosky, and the PM knowledge areas, as defined by the Project Management Institute (PMI), are investigated. A survey questionnaire reveals significant positive relationships between the KM pillars and PM knowledge areas. The significance and the nature of this association support the study’s assertion that the management of projects improves as enterprise-wide KM processes and activities are increasingly used.