Measurement of knowledge diffusion efficiency for the weighted knowledge collaboration networks

Kybernetes ◽  
2017 ◽  
Vol 46 (4) ◽  
pp. 672-692 ◽  
Author(s):  
Jiafu Su ◽  
Yu Yang ◽  
Na Zhang

Purpose The purpose of this paper is to propose a valid and quantitative measurement method of knowledge diffusion efficiency for the knowledge collaboration networks (KCNs). Design/methodology/approach This paper builds a weighted KCN model with the node and edge weights. Based on the weighted KCN, the factors of knowledge diffusion efficiency are proposed and analyzed. Then, the knowledge transfer effect between two nodes is proposed and measured by comprehensively integrating the above factors. Furthermore, the main metric of efficiency of knowledge diffusion is proposed by modifying Latora and Marchiori’s model of efficiency of network. Findings A case is studied to illustrate the applicability of the proposed weighted network model and the knowledge diffusion efficiency measurement method. The results show the methods proposed in this paper can better measure and analyze the knowledge diffusion efficiency of KCNs than the traditional un-weighted methods and the subjective evaluation methods. Originality/value The real KCNs are always weighted networks. The weighted model of KCN can better reflect the real networks than the un-weighted model. Based on the weighted networks, the measurement methods proposed in this paper can more efficiently and accurately measure and evaluate the knowledge diffusion efficiency than the traditional methods. This study can help researchers to better understand knowledge diffusion theoretically, and provide managers with a decision support for knowledge management in practice.

2020 ◽  
Vol 10 (4) ◽  
pp. 495-512
Author(s):  
Nanlei Chen ◽  
Naiming Xie

PurposeThe purpose of this paper is to propose an uncertainty representation and information measurement method for characterizing grey numbers, estimating their internal laws and solving how to generate them based on available information data in the real world.Design/methodology/approachThis paper attempts to present a new mathematical methodology in the field of grey numbers. The generalized grey number is defined at first with the concept of information elements and information samples. Then, the probability function of a grey number is proposed to describe the internal law of the grey number. By finding the feasible information elements from information samples, the probability calculation method for the true value of a grey number is presented. Finally, some numerical examples and comparisons are carried out to assess the efficiency and performance.FindingsThe results show that the uncertainty representation and information measurement method is effective in characterizing and quantifying grey numbers based on available information data.Practical implicationsUncertain information is widespread in practical applications. In this manuscript, the grey number is represented and its information is measured through some existing data in discrete or interval forms, which provides a grey information concept that utilizes information elements to represent uncertainty in the real world.Originality/valueThe proposal presents a novel data-driven method to generate a grey number representation from available data rather than the classical whitening weight function constructed from experience, and the dynamic evolution process of a grey number is measured by the increase of information samples.


2014 ◽  
Vol 22 (1) ◽  
pp. 24-41 ◽  
Author(s):  
Deepa Mani ◽  
Kim-Kwang Raymond Choo ◽  
Sameera Mubarak

Purpose – Opportunities for malicious cyber activities have expanded with the globalisation and advancements in information and communication technology. Such activities will increasingly affect the security of businesses with online presence and/or connected to the internet. Although the real estate sector is a potential attack vector for and target of malicious cyber activities, it is an understudied industry. This paper aims to contribute to a better understanding of the information security threats, awareness, and risk management standards currently employed by the real estate sector in South Australia. Design/methodology/approach – The current study comprises both quantitative and qualitative methodologies, which include 20 survey questionnaires and 20 face-to-face interviews conducted in South Australia. Findings – There is a lack of understanding about the true magnitude of malicious cyber activities and its impact on the real estate sector, as illustrated in the findings of 40 real estate organisations in South Australia. The findings and the escalating complexities of the online environment underscore the need for regular ongoing training programs for basic online security (including new cybercrime trends) and the promotion of a culture of information security (e.g. when using smart mobile devices to store and access sensitive data) among staff. Such initiatives will enable staff employed in the (South Australian) real estate sector to maintain the current knowledge of the latest cybercrime activities and the best cyber security protection measures available. Originality/value – This is the first academic study focusing on the real estate organisations in South Australia. The findings will contribute to the evidence on the information security threats faced by the sector as well as in develop sector-specific information security risk management guidelines.


2015 ◽  
Vol 10 (2) ◽  
pp. 243-271 ◽  
Author(s):  
Philippe Gugler ◽  
Laura Vanoli

Purpose – The purpose of this paper is to focus on Chinese firms’ innovation processes that are induced by foreign direct investment abroad. The study uses a patent and citation analysis to examine the extent to which investments abroad contribute to enhancing these firms’ innovative capabilities. More specifically, this study focusses on the role of foreign location competitiveness as an asset to provide technological capabilities to Chinese affiliates. Design/methodology/approach – Patents are good indicators of firms’ innovative capabilities. Moreover, patents allow to track the inter-firm knowledge transfer through the citations of patents on which they are based. The authors use an OECD patent database called “OECD REGPAT July 2013” that compiles patents registered with the European Patent Office (EPO) over the period from 1986 to 2013. The authors focus the analysis on patents registered by Chinese multinational enterprises’ (MNEs) based in Europe because the authors assume inter alia that innovations patented by Chinese affiliates in Europe are registered with the EPO. The sample comprises 3,010 patents involving 5,749 citations that the authors have individually examined. Findings – The findings suggest that Chinese MNEs ability to generate innovation based on their own knowledge is low, with a self-citation rate of approximately 4 percent. Patents by Chinese MNEs are largely based on foreign patents, especially from developed economies (at least 90 percent). The citation analysis also suggests that 39.2 percent of citations represent domestic firms in the local recipient country. This subgroup of citations is categorized as follows: 1.04 percent are M&A linkages, 13.8 percent are cluster linkages, and 24.36 percent are localization linkages. The remaining 60.8 percent of the total sample demonstrates that firms do not necessarily need to be collocated in foreign locations with domestic firms to exchange assets. Research limitations/implications – Patent and citation analysis considers only a part of the inter-firm knowledge diffusion. Some innovations are not patented and tacit knowledge diffusion is not observable. Moreover, the analysis focusses only on Chinese outward foreign direct investment to Europe, but a large part of knowledge is accumulated in China thanks to inward foreign direct investment. Originality/value – Many scholars have scrutinized emerging markets multinational enterprises’ strategic asset-seeking investments abroad that are designed to upgrade the companies’ technological capabilities (Cui and Jiang, 2009; Zhang and Filippov, 2009; Huang and Wang, 2013; Amighini et al., 2014; De Beule et al., 2014; Nicolas, 2014). However, few studies analyze the results of these strategies in terms of innovation output.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yannis Steffen Oetken ◽  
Christian Hofstadler ◽  
Felix Meckmann

PurposeThe individual levels involved in real estate management are thoroughly discussed in the literature. This paper provides a structured meta-analysis of the different theoretical approaches in German-speaking countries. It also investigates the integration of transaction management and technical due diligence into the concepts of organisation theory. In this process, the interfaces are analysed and optimised models are developed for transferring the technical due diligence findings to the operational level.Design/methodology/approachInterviews with transaction management experts were conducted based on a narrative literature review. These interviews shed light on how the components of transaction management and due diligence are integrated into the transaction process, with a particular focus on technical due diligence. They also provide insights into how the related results are taken into account in relation to the transaction, and how they are transferred into the operational phase.FindingsIt becomes apparent that the role of transaction management is not clearly defined and delimited in the structural model of the real estate industry. Technical due diligence findings are usually transferred to the operation of the property via several, manual interfaces with corresponding losses of knowledge. The related models derived and developed for the purpose of operational optimisation define the role of transaction management against a technical background and identify the interfaces to be considered.Practical implicationsThe significance of transaction management for subsequent operations is discussed and elaborated on. More specifically, transferring safety-relevant, high-priority findings from the technical due diligence exercise plays a crucial role for the modelling stage. On the implementation level, the derived models serve as a basis for customising the internal organisational structure.Originality/valueIn Germany, there has hardly been any research into the involvement of technical experts in the real estate transaction process to date. This paper provides initial approaches to optimising organisational structures and sustainably integrating technical due diligence findings into real estate operations.


2008 ◽  
Vol 16 (1) ◽  
pp. 111-115
Author(s):  
Joanna Gray

PurposeThe purpose of this paper is to report on the company directors' disqualification proceedings following the failure of FSA‐regulated firm.Design/methodology/approachThe paper outlines the facts surrounding the decision and comments on the ruling.FindingsIt was found that this whole question of overlapping laws in highly complex and regulated business sectors is a real one and is set to become a growing problem for courts to manage and boards to predict.Originality/valueThe paper highlights the real, practical problems that can arise when different legal regimes criss‐cross the same factual domain.


2014 ◽  
Vol 17 (4) ◽  
pp. 319-335 ◽  
Author(s):  
Alessio Cavicchi ◽  
Cristina Santini ◽  
Lucia Bailetti

Purpose – This purpose of this paper is to introduce a research model inspired by the basic principles of experiential research and apply it to the food and beverage industry. Thinkers and doers often do not speak the same language: many scholars have pursued the goal of reducing the gap between academicians and practitioners by introducing new research models or adapting existing ones. Two case studies with wine and olive oil producers illustrate how the model works and highlight its applicability. Background literature is provided to support the model. Design/methodology/approach – In defining the model, we have followed several steps. First, we searched the literature to identify research needs and insights that might be useful in formulating the model. Second, we constructed a model following some procedural steps suggested in the literature. Third, we tested a model to verify its applicability and functionality. The paper is structured as follows: the first section explores the issue of academic–practitioner collaboration to identify the obstacles to effective collaboration and to define possible benefits from reducing the gap. The second section presents background literature on methodologies for enhancing cross-profession collaboration. Finally, the model is described and two case studies are described to flesh out how the model works. Findings – According to our experience and research results, this model is, paraphrasing Phillips (1987), “warrantable” because it proposes continuous reflection to improve the alignment between thinkers and doers: this method of conducting research is objective and bridges the gap between researchers and practitioners. Because this model centres on experience, participant behaviours and beliefs can be elicited about a host of nondurable goods. Having entrepreneurs put themselves in the consumers’ position, and providing them the results of their experiment can be considered the real value added of this approach. The model proposed in this paper opens a wider perspective in qualitative research, and the two case studies demonstrate that it is particularly flexible for adaptation to various businesses. Research limitations/implications – More case studies could be useful to demonstrate the validity of this model. Particularly, a longitudinal case study aiming at collecting data about the participants’ feedback in the long run could help in understanding the deep value of the proposed model. Practical implications – While this paper illustrates two applications of the model with entrepreneurs and managers of the wine and olive oil industry, this model offers potential for analysis not only in the food and beverage sector but all fast-moving consumer goods sectors, as it can be adapted to techniques other than sensory analysis once researchers have confirmed that they fit with the aim of the research and the peculiarities of the problem observed. Social implications – Tools and methodologies must be chosen according to the type of business the problem refers to, and, while this presents a considerable challenge in organizing ad hoc research teams, it also offers an opportunity for an interdisciplinary approach and an exchange of knowledge and skills from different research fields. In this case, the choice of research methodology is much more driven by the real needs that emerge from the phenomenon observed, rather than by the researchers’ specific skills. Originality/value – This paper has helped us broaden our perspective on research and has encouraged us to reflect on critical issues such as validity of a research process and usefulness of research. Some questions about the role of research in relation to practitioners are still open, but we think that this work has the merit of further highlighting the importance of bridging the gap between researchers and practitioners during research, and the usefulness being flexible and open-minded when carrying out an investigation.


2015 ◽  
Vol 7 (4) ◽  
pp. 327-353 ◽  
Author(s):  
Muhammad Ali Nasir ◽  
Mushtaq Ahmad ◽  
Ferhan Ahmad ◽  
Junjie Wu

Purpose – The purpose of this paper is to provide a different context for considering issues of financial stability and instability, with reference to economic growth and price stability in particular. Design/methodology/approach – This paper pursued an empirical exploration of six pillars of financial stability, based on a data set for the UK extending from 1985 (Q1) to 2008 (Q2), through the construction of a vector error correction model, including an impulse response function analysis. Findings – The findings show a strong association between the financial and economic stability even in a non-crisis regime. This includes, for example, a strong association exists between the stock market and the real economy; exchange rate appreciation may not provide for long-term real economic growth; inflation does not contribute to real economic growth, both the sensitivity of the economy to yields and a significant lag in transitional effects from financial markets to the real sector; a positive role of credit creation within a non-crisis regime; exchange rate appreciation affects purchasing power; and potential points of linkage between sovereign debt activity and general price levels. Research limitations/implications – The findings should be considered in the context of a concept of the economy as fundamentally dynamic and subject to complex cumulative processes. Practical implications – The findings indicate there is a role for state oversight and intervention within a non-crisis regime based on the complexity of possible interactions that may undermine financial and price stability, with consequences for their association with economic growth. Originality/value – The study provides a new perspective for considering issues of financial stability and instability.


2013 ◽  
Vol 19 (3) ◽  
pp. 196 ◽  
Author(s):  
Jaeil Kim ◽  
Sungjun Kim ◽  
Young Jae Kim ◽  
Kwang Gi Kim ◽  
Jinah Park

Author(s):  
Junyi Hou ◽  
Lei Yu ◽  
Yifan Fang ◽  
Shumin Fei

Aiming at the problem that the mixed noise interference caused by the mixed projection noise system is not accurate and the real-time performance is poor, this article proposes an adaptive system switching filtering method based on Bayesian estimation switching rules. The method chooses joint bilateral filtering and improved adaptive median filtering as the filtering subsystems and selects the sub-filtering system suitable for the noise by switching rules to achieve the purpose of effectively removing noise. The simulation experiment was carried out by the self-developed human–computer interactive projection image system platform. Through the subjective evaluation, objective evaluation, and running time comparison analysis, a better filtering effect was achieved, and the balance between the filtering precision and the real-time performance of the interactive system was well obtained. Therefore, the proposed method can be widely applied to various human–computer interactive image filtering systems.


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