基于B-SECI模型的颠覆性创新过程解构：知识创造视角

知识创造是创新主体不断吸收与转化知识,并将不同领域的显性知识和隐性知识进行有效利用的过程。从知识创造视角出发,构建了契合颠覆性创新特征的SECI改进模型(B-SECI),根据知识转移流动和创造演化等维度对颠覆性创新的发展特征与演化过程进行解构,旨在更能精准把握颠覆性创新演化的内在机理。研究发现,颠覆性创新主要包含隐性知识与显性知识,遵循社会化、外显化、组合化和内隐化等过程,并在具体形式上经历了创意社会化、方案外显化、技术雏形化以及最终的产品商业化阶段。     

Knowledge creation processes as critical enablers for innovation

Knowledge conversion is a prominent theme within the knowledge management field and the question arises how knowledge creation processes can grow innovation capability maturity. This notion provides the platform for aligning knowledge creation processes to the requirements for innovation capability growth from one maturity level to the next. In order to achieve this alignment, the authors identified a knowledge creation path as a key enabler for maturity growth in each innovation capability area. Knowledge management tools and organisational facilitating conditions that support the specific knowledge processes highlighted in the identified path were identified through a literature study and subsequently synthesised to form a framework. This framework provides guidelines for the use of knowledge creation processes as a vehicle to improve innovation. The amount of time needed to practically test the framework does not allow for the practical implementation of the framework and the impact of the framework was demonstrated by discussing a practical organisational scenario.     

Organisational knowledge creation strategies: A conceptual framework

The main purposes of this article are to identify the dimensions of organisational knowledge creation strategies (EICE model: exploration, institutional entrepreneurship, combination, exploitation) and to clarify the relationship between the organisational knowledge creation strategies and its knowledge asset. For these purposes, guided by knowledge-based view and knowledge creation theory, we propose an EICE model and explore its effect on the knowledge asset. We further suggest the managerial implications and theoretical implications. The main managerial implication is that the knowledge creation strategies model may help manager to make effective strategies for knowledge creation within the organisation. The main contributions to organisation theory are extending Nonaka's knowledge creation theory to form a new strategic model for knowledge creation.     

Impact of knowledge incentive mechanisms on individual knowledge creation behavior—An empirical study for Taiwanese R&D professionals

Knowledge incentive mechanisms are a new development in the management of knowledge. The most prevalent perspective presented in the available literature is that the knowledge incentive mechanisms must have the ability to manage the flow of business knowledge. This study explores the relationship among knowledge incentive mechanisms, knowledge psychological ownership, and individual knowledge creation behavior. This study uses structural equation modeling to test a sample of R&D professionals from high-tech companies in Taiwan. Data analysis suggests that knowledge incentive mechanisms promote the psychological ownership by the knowledge owner so that he or she actively carries out knowledge innovation. This implies that knowledge incentive mechanisms stress private proprietary characteristics employees who possess real ownership when they innovate will deem such innovation as an extension of self, giving rise to a protective or defensive mindset, which then has an impact on individual knowledge creation behaviors because of the psychological ownership of knowledge.     

Virtual lead user communities: Drivers of knowledge creation for innovation

This study examines the creation of innovation-related knowledge in virtual communities visited mainly by lead users. Such communities enable firms to access a large number of lead users in a cost-efficient way. A propositional framework relates lead users’ characteristics to unique virtual community features to examine their potential impact on the development of valuable innovation knowledge. The authors empirically validate this framework by analyzing online contributions of lead users for mobile service innovation projects. The findings indicate that the value of their contributions stems from their ability to suggest solutions instead of simply describing problems or stating customer needs. Lead users’ technical expertise also makes them particularly well-suited to develop new functionalities, but less so for design and usability improvements. The digital context favors the creation of explicit knowledge that can be easily integrated into the development of new products. Finally, contributions given by lead users in a proactive way contain more novel insights than reactive contributions such as answers to community members’ questions. The findings should help managers stimulate, identify, and improve the use of lead users’ input in virtual communities.     

Organisational rules, codification and knowledge creation in inter-organisation cooperative agreements

The aim of our paper is to analyse the process of collaboration between independent firms linked by a technological agreement in the energy field, with a specific focus on the degree of codification of inter-organisational rules. Considering the agreement as a collection of different types of more or less codified rules, we show that their degree of codification and some other characteristics have an impact on the process of inter-firm cooperation.The paper first provides an analytical framework defining the concept and the types of rules relevant for our purpose. A rule is conceived to solve a problem of allocation or creation of resources; it serves a main function which can be of a cognitive, incentive or coordination nature; it is ambivalent, i.e. it entails side functions in addition to the main one. Two theoretical propositions are then developed and largely confirmed by our empirical research results based on two detailed case studies in the emerging field of fuel cell (FC) technology.     

The roles of gamification,knowledge creation,and entrepreneurial orientation towards firm performance

In a highly competitive industry, it has been a best practice that dynamic capabilities guide technology firms to cope with challenging situations. Meanwhile, knowledge creation enables the firm to condition the success and continuity of innovations, entrepreneurial orientation to support companies in winning the competition, and gamification to engage employees in a collaborative way towards better firm performance. This study examines how technology companies can improve their performance using gamification, knowledge creation, and entrepreneurial orientation. To test the proposed model, we collected data using a questionnaire survey of 124 technology companies in Indonesia. The theoretical model used structural equation modeling (SEM) with SmartPLS 3. The results show that all constructs have a direct and positive relationship, except for the direct relationship between gamification and firm performance. Thus, entrepreneurial orientation and knowledge creation are essential components of technology companies that mediate the effect of gamification on firm performance. This study provides a theoretical and empirical basis for the antecedents of technological firm performance.     

Analyzing ICT adoption and use effects on knowledge creation: An empirical investigation in SMEs

This paper investigates the influence of the adoption and use of information and communication technology (ICT) on organizational learning (OL). The focus is on knowledge, creation, as an articulated construct for the OL concept, and the SECI (Socialization, Externalization, Combination and Internalization) model is used as a reference for knowledge, creation. ICT use is seen here as consisting of three different orientations: informative, communicative and workflow. The results, based on a sample of around 300 Spanish small- and, medium-sized enterprises (SMEs), indicate that ICT has a significant positive influence on the, four processes for creating knowledge. ICT oriented to communication and workflow is found, to produce a significant positive impact on knowledge creation processes, except for, socialization process, while ICT use for information does not influence any of the processes for, creating knowledge and OL.     

知识管理策略与知识创造

知识创造过程是揭示显性知识和隐性知识在个体或组织中相互转化和作用从而产生新的知识的重要模型和理论。本文在分析、归纳了知识创造过程与知识管理策略的相互关系的基础上,提出了对应于不同的知识创造过程所应采用的知识管理策略。     

数据挖掘在流程工业中的应用研究

针对流程工业中连续性生产过程的时间序列特点,采用数据仓库进行数据集成,分析了数据挖掘技术在流程工业中的应用。     

The impact of knowledge stickiness on knowledge transfer implementation,internalization, and satisfaction for multinational corporations

Improving the effectiveness of knowledge transfer from a parent firm to its subsidiary is one of the most critical issues confronting management at multinational companies (MNC). Since knowledge tends to be sticky and difficult to transfer, the success of knowledge transfer is contingent not only upon various kinds of contextual variables, but also upon the process of knowledge transfer implementation and internalization. Previous studies did not consider the process of implementation and internalization variables, and failed to provide a more comprehensive research framework for MNC knowledge transfer. This study attempts to assess the impact of knowledge stickiness on knowledge transfer implementation and internalization, as well as the performance of headquarter–subsidiary knowledge transfer. Results of this study suggest that an increase in knowledge stickiness may have a positive and significant influence on knowledge implementation, internalization, and knowledge transfer satisfaction. However, increases in knowledge stickiness beyond a certain point can also deter the success of transferring knowledge. Results also suggest a significant relationship between knowledge transfer implementation and internalization, innovation and satisfaction, and between knowledge innovation and knowledge transfer satisfaction.     

论知识创新的动力源——基于组织外部、内部和核心层次的分析框架

本文提出了关于知识创新动力源的分析框架 ,即大学及知识型组织的知识创新战略分析和选择的概念框架。具体提出了关于社会的知识间隙 ,组织内部知识间隙和组织核心战略间隙的基本含义、分析方法以及相应的战略目标和战略选择的研究模型。这个分析框架为我们在对组织的知识创新战略进行分析和选择时 ,提供一种原则性的方法论     

The influence of informal social media practices on knowledge sharing and work processes within organizations

Contemporary information technologies such as social media have invigorated the way knowledge is shared within organizations to the extent that we have to rethink and reassess our understanding of the role and influence of technology in organizational processes and knowledge sharing. This paper uses the strategy as practice lens guided by the interpretivist philosophy to understand the influence of informal social media practices on knowledge sharing and work processes within an organization. The paper uses empirical evidence from the case study of a telecom organization in Tanzania to gain theoretical insight into informal social media practices and knowledge sharing. This research contributes to the Information Systems (IS) literature by asserting that organizational processes are achieved by mundane knowledge sharing mediated by informal social media use within the organization. Also, the study contributes to IS literature by highlighting how emerging informal practices are essential to daily processes within organizations.     

创业企业知识异质性与公司投资者知识创造

本文基于创业企业知识异质性视角,运用沪深主板62家上市企业2000~2011期间471个公司创业投资(CVC)观测样本所构成的非平衡面板数据,采用负二项回归模型实证检验创业企业知识异质性与公司投资者知识创造之间的关系以及吸收能力、卷入强度对两者关系的调节作用,并进一步研究不同CVC项目治理结构下两者关系的差异。研究发现:创业企业知识异质性与公司投资者知识创造之间存在"U形"关系,吸收能力、卷入强度对此"U形"关系有积极的调节作用。进一步研究发现,创业企业知识异质性与公司投资者知识创造之间在控股型CVC项目治理结构下呈"倒U形"关系,而非控股型CVC项目治理结构下呈"U形"关系。因此,公司投资者应合理选择被投创业企业组合,不断提高自身的吸收能力,建立投资后互动参与式管理机制,精心设计CVC项目并采取相应的管理策略和投资策略。     

From free to paid: Effect of knowledge differentiation on market performance of paid knowledge products

Exploring the factors that affect the market performance of paid knowledge products is of great importance for knowledge payment platforms. Drawing on the sensations-familiarity framework and social capital theory, this study investigates how knowledge differentiation between paid and free knowledge impacts market performance, along with the moderating effect of knowledge providers’ social capital. Technically, a neural network-based text mining model is utilized to transform free and paid knowledge to semantic vectors, whose dissimilarity is calculated as knowledge differentiation. Empirical analysis on a real dataset reveals the positive (or negative) effect of knowledge differentiation on sales (or eWOM, electronic word of mouth), which will be more prominent with the increase of social capital. The results are reinforced with robustness checks regarding alternative knowledge-differentiation measures, more control variables and alternative regression methods. The present study extends our understanding of knowledge payment and free-to-paid consumption, and offers practical implications for content design and product management.     

知识创造的复杂适应系统角度分析

认为知识创造系统的适应性主体是知识单元及其拥有者的组合体,从而利用复杂适应系统理论,建立知识创造系统的刺激反应模型,并分析知识创造的过程和机理.     

Understanding the formation mechanism of high-quality knowledge in social question and answer communities: A knowledge co-creation perspective

The social question and answer (Q&A) community provides people with an effective tool to obtain high-quality information. From the perspective of reciprocal determinism and value co-creation, this study aims to investigate the formation mechanism of high-quality knowledge in the community. We develop a model to investigate how cognitive factors and community technological factors influence users’ knowledge co-creation behavior, thereby influencing knowledge quality in the community. A survey of 382 knowledge contributors in a social Q&A community shows that knowledge self-efficacy, topic richness, personalized recommendation, and social interactivity have a positive impact on users' knowledge sharing and integration behavior, which subsequently affect the community’s knowledge quality. Moreover, users' ratings moderate the influence of knowledge sharing on knowledge quality. This research demonstrates the synergistic effect of people and technology in knowledge co-creation, thus advances literature about value co-creation and content quality in online communities.     

知识创造与知识创新的涵义及其关系论

基于创造和创新涵义的知识创造和知识创新各具其特有的涵义,前者主要指创造新的、思想性的流程性知识的过程,而后者是指将所创造的、新的思想性的流程性知识具体应用于新产品的开发和生产过程之中。二者既相互区别又相互联系,并统一于RD活动中。     

The effects of e-business processes in supply chain operations: Process component and value creation mechanisms

Using a process component lens, this paper decomposes an e-business process into technical, relational, and business components. We then draw on resource orchestration theory to identify two managerial actions, resources structuring and capabilities leveraging in using e-business process components, to explain how these three components work together to improve competitive performance in supply chain operations. Two interesting insights emerge from our empirical research corresponds to value creation mechanisms. First, we identify the critical three portfolio effects to promote platform architecture flexibility and partner engagement to develop e-business operations capabilities (EBOCs) in three major e-business processes. Second, we reveal the transformation effect of EBOCs in different e-business processes in obtaining competitive performance. The notion of portfolio and transformation mechanisms of e-business process components offers theoretical and practical implications for developing successful digital supply chain platform.     

A systematic examination of knowledge loss in open source software projects

Context Open Source Software (OSS) development is a knowledge focused activity which relies heavily on contributors who can be volunteers or paid workers and are geographically distributed. While working on OSS projects contributors acquire project related individualistic knowledge and gain experience and skills, which often remains unshared with others and is usually lost once contributors leave a project. All software development organisations face the problem of knowledge loss as employees leave, but this situation is exasperated in OSS projects where most contributors are volunteers with largely unpredictable engagement durations. Contributor turnover is inevitable due to the transient nature of OSS project workforces causing knowledge loss, which threatens the overall sustainability of OSS projects and impacts negatively on software quality and contributor productivity.ObjectiveThe objective of this work is to deeply and systematically investigate the phenomenon of knowledge loss due to contributor turnover in OSS projects as presented in the state-of-the-art literature and to synthesise the information presented on the topic. Furthermore, based on the learning arising from our investigation it is our intention to identify mechanisms to reduce the overall effects of knowledge loss in OSS projects.MethodologyWe use the snowballing methodology to identify the relevant literature on knowledge loss due to contributor turnover in OSS projects. This robust methodology for a literature review includes research question, search strategy, inclusion, exclusion, quality criteria, and data synthesis. The search strategy, and inclusion, exclusions and quality criteria are applied as a part of snowballing procedure.Snowballing is considered an efficient and reliable way to conduct a systematic literature review, providing a robust alternative to mechanically searching individual databases for given topics.ResultKnowledge sharing in OSS projects is abundant but there is no evidence of a formal strategy or practice to manage knowledge. Due to the dynamic and diverse nature of OSS projects, knowledge management is considered a challenging task and there is a need for a proactive mechanism to share knowledge in the OSS community for knowledge to be reused in the future by the OSS project contributors. From the collection of papers found using snowballing, we consolidated various themes on knowledge loss due to contributor turnover in OSS projects and identified 11 impacts due to knowledge loss in OSS projects, and 10 mitigations to manage with knowledge loss in OSS projects.ConclusionIn this paper, we propose future research directions to investigate integration of proactive knowledge retention practices with the existing OSS practices to reduce the current knowledge loss problem. We suggest that there is insufficient attention paid to KM in general in OSS, in particular there would appear to an absence of proactive measures to reduce the potential impact of knowledge loss. We also propose the need for a KM evaluation metric in OSS projects, similar to the ones that evaluate health of online communities, which should help to inform potential consumers of the OSS of the KM status on a project, something that is not existent today.