Understanding Knowledge as a Commons: From Theory to Practice

Purpose




The purpose of this paper is to formulate the process of measuring and benchmarking the performance of knowledge management (KM) practices as a multicriteria group decision-making problem and present a new multicriteria group decision-making approach for effectively evaluating the performance of KM practices to meet the interests of various stakeholders in small and medium enterprises (SMEs)




Design/methodology/approach




A new multicriteria group decision-making approach is developed for evaluating the performance of KM practices of individual SMEs Intuitionistic fuzzy numbers are used for representing the subjective assessments of decision makers in evaluating the relative importance of the evaluation criteria and the performance of individual KM practices with respect to specific evaluation criteria A fuzzy multicriteria group decision-making algorithm is developed for measuring and benchmarking the performance of alternative KM practices




Findings




The proposed multicriteria group decision-making approach is capable of effectively evaluating the performance of KM practices through adequately considering the presence of multiple decision makers, the multi-dimensional nature of the evaluation problem, and appropriately modeling the subjectiveness and imprecision of the evaluation process The presentation of an example shows that the proposed fuzzy multicriteria group decision-making algorithm is simple to use and efficient in computation




Research limitations/implications




The outcome of the multicriteria group decision-making approach is highly dependent on the inputs provided by the decision maker




Practical implications




The novelty from this research lies in the utilization of a multicriteria group decision-making approach for evaluating the performance of KM practices in an organization The outcome from the performance evaluation process allows the enterprise to adopt appropriate KM practices for achieving competitive advantages




Social implications




The proposed multicriteria group decision-making approach has a significant social implication as it can be used as a decision-making tool for providing various decision makers in SMEs with useful and strategic information concerning the performance of KM practices in a given situation




Originality/value




The originality of this paper lies in the development of the multicriteria group decision-making approach for effectively measuring and benchmarking the performance of KM practices of individual SMEs

Benchmarking knowledge management practices in small and medium enterprises: A fuzzy multicriteria group decision-making approach

Silicon Valley's success has led other regions to attempt their own high-tech transformations, yet most imitators have failed. Entrepreneurs may be in short supply in these "non-tech" regions, but some non-tech regions are home to high-quality entrepreneurs who relocate to Silicon Valley due to a lack of local financing for their start-ups. Non-tech regions must provide local finance to prevent entrepreneurial relocation and reap spillover benefits for their communities. This Article compares three possible sources of entrepreneurial finance - private venture capital, state-sponsored venture capital, and angel investor groups - and finds that angel groups have distinct advantages when it comes to funding innovation in non-tech regions. This entrepreneurial finance story is then supplemented by a "law and entrepreneurship" story - specifically, a look at securities laws that might impede optimal levels of angel group financing.

https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1596917_code368052.pdf?abstractid=1272957&mirid=1

Financing the Next Silicon Valley

As a core driving force of the most recent round of industrial transformation, artificial intelligence has triggered significant changes in the world economic structure, profoundly changed our life and way of thinking, and achieved an overall leap in social productivity. This paper aims to examine the effect of knowledge transfer performance on the artificial intelligence industry innovation network and the path artificial intelligence enterprises can take to promote sustainable development through knowledge transfer in the above context. First, we construct a theoretical hypothesis and conceptual model of the innovation network knowledge transfer mechanism within the artificial intelligence industry. Then, we collect data from questionnaires distributed to Chinese artificial intelligence enterprises that participate in the innovation network. Moreover, we empirically analyze the impact of innovation network characteristics, organizational distance, knowledge transfer characteristics, and knowledge receiver characteristics on knowledge transfer performance and verify the hypotheses proposed in the conceptual model. The results indicate that innovation network centrality and organizational culture distance have a significant effect on knowledge transfer performance, with influencing factors including network scale, implicit knowledge transfer, receiver’s willingness to receive, and receiver’s capacity to absorb knowledge. For sustainable knowledge transfer performance on promoting Chinese artificial intelligence enterprises innovation, this paper finally delivers valuable insights and suggestions.

/pdf/the-impact-of-knowledge-transfer-performance-on-the-2g6lsa9xv3.pdf

The impact of knowledge transfer performance on the artificial intelligence industry innovation network: An empirical study of Chinese firms.

This article aims to propose a model that manages the knowledge within organizations which are in the adaptation to industry 4.0 through tools that allow using competitive and comparative advantages according to the environment such as Big data, because these organizations are in a framework of large information flows, thus the technological solutions to analyze this huge amount of data will be key for the development of companies within this new market situation. To structure the model, we have considered some research conducted on this subject finding those aspects and fundamental tools in the process of knowledge management which are adapted to companies that want to venture into industry 4.0.

Model for the Incorporation of Big Data in Knowledge Management Oriented to Industry 4.0

This article empirically analyzes a model of knowledge transfer activation based on trade in knowledge market perspective. We aim to provide insights into trade in the knowledge market through an empirical analysis. Using a research model with a theoretical basis on knowledge sharing culture and trade in knowledge market, we conducted an empirical study using data on enterprises' knowledge management systems (KMSs). The results revealed that 62.6% of the variance in knowledge transfer activation was explained by the items of knowledge organization, knowledge strategy, KMS, and knowledge reward through knowledge sharing culture and trade in knowledge market. This suggests that horizontal organization and a strategy that pursues an organization's objectives positively impact knowledge sharing culture, while knowledge technology (KMS) and reward positively affect the trade in knowledge market. We therefore conclude that trade in knowledge market is an important factor to activate knowledge transfer. This art...

Knowledge Transfer Activation Analysis: Knowledge Trade Perspective

Convergence is now the trend of knowledge information society. Information technology and knowledge transfer are main sources of convergence. There are many articles which studied outcomes of convergence while there are few articles that try to study the process of convergence. The purpose of this study is to investigate how convergence is dynamically formalized. For the analysis, we used Institutional Analysis and Development(IAD) framework from the point of convergence. IAD framework could synthetically study the origin and the process of convergence. We investigated the case of sillicon valley whether or not dynamics of ICT convergence could be explicable by IAD framework. The results shows that ICT technology and knowledge could be the enabler for the formation of convergence. ICT technology accelerates convergence and knowledge convergence from information converge different technologies and industries. This article provides a theoretical foundation for future research to analyze dynamics of ICT convergence by the IAD framework. For the future work, it is recommended that a study is to be empirically analyzed the dynamics of ICT convergence.

/pdf/dynamics-of-the-evolution-of-ict-convergence-knowledge-fe47nz1jkz.pdf

Dynamics of the Evolution of ICT Convergence : Knowledge Convergence in Silicon Valley

An importance of knowledge management (KM) leads many companies to utilize knowledge management system (KMS) but the users do not make use of KMS frequently. The purpose of our work is to examine how knowledge market-based price mechanism affects the utilization of current KMS and to find out solutions to improve KMS use. For the purposes of this investigation, we analyzed large enterprises and public institutions using KMS in Korea with differentiated groups by the survey. As a result of the analysis, most companies have operated the KMS relying on traditional KM methodology. It is important to develop appropriate knowledge market-based KMS. In this paper, we presented the future of the market-based system by comparing knowledge market-based KMS with traditional KMS. For the future work, it is recommended that knowledge market-based mechanisms be examined with qualitative research.

A Study of Knowledge Management System Activation Methods Based on Knowledge Market Theory

This study presents empirical evidence of the benefit of viewing narrative video clips on embedded virtual reality (VR) websites of hotels to relieve travel anxiety. As the effectiveness of using VR functions to relieve travel anxiety has been shown, we proposed that a VR website enhanced with narrative video clips could relieve travelers’ anxiety about accommodations by showing the important aspects of a hotel. Thus, we created a website with a narrative video showing the escape route from a hotel room and another narrative video showing the surrounding neighborhood. We then conducted experiments by having human subjects explore the enhanced VR website and fill out a questionnaire. The results confirmed our hypothesis that there is a statistically significant relationship between relief from travel anxiety and the use of narrative videos on embedded VR websites of hotels.

Virtual Reality to Help Relieve Travel Anxiety

본 연구는 사물인터넷(IoT: Internet of Things) 기술 인력수요 구조의 분석과 전망을 목적으로 하고 있다. 본 연구에서는 “사물인터넷 산업 실태조사(2015~2019)” 자료를 기반으로 “고용보험” 데이터와 비교를 통해 2029년까지 IoT 산업 및 직업별 인력 수요 전망 결과를 도출한다. IoT 인력수요 생태계는 크게 디바이스(HW) 산업과 서비스(SW) 산업으로 분류할 수 있다. 전망기간 중 IoT 플랫폼과 IoT 서비스 산업의 SW 직종을 중심으로 고용이 창출될 것으로 예상된다. 반면에 IoT 디바이스와 IoT 네트워크 산업 등 HW 관련 산업은 비중과 고용이 정체 혹은 감소할 것으로 전망된다. IoT 서비스 산업에서는 IoT 관련 응용 서비스와 각 산업에 적용되는 IoT를 제어하고 응용 서비스 개발을 위한 SW 인력이 다수 필요하다. HW를 개발할 때에도 적용을 위한 SW 인력이 필수적으로 필요하여 SW 관련 직종에서 지속적으로 고용이 창출될 것으로 전망된다. IoT 기술의 확산은 저전력화, 보안 이슈와 연계되어 산업을 세분화시키고 있다. 또한 데이터 활용과 분석 등 데이터를 산업에 접목시킬 수 있는 능력, SW 적용 및 해당산업 내 전문기술을 융합할 수 있는 능력 등 전문적인 직무 능력을 갖춘 숙련인력 양성을 필요로 한다. 

Soon-Ki Jeong

Papers

Knowledge Transfer Activation Analysis: Knowledge Trade Perspective

Dynamics of the Evolution of ICT Convergence : Knowledge Convergence in Silicon Valley

A Study of Knowledge Management System Activation Methods Based on Knowledge Market Theory

Virtual Reality to Help Relieve Travel Anxiety

An Analysis and Prospect for Manpower Demand of Internet of Things