scholarly journals A conceptual model of tacit knowledge transfer in steganography

2018 ◽  
Vol 7 (3.28) ◽  
pp. 17
Author(s):  
Noor Hasnita Abdul Talib ◽  
Mazida Ahmad ◽  
Roshidi Din

Steganography is a technique that involves a secret hidden message concealed inside the media cover using formats such as text, images, video or audio. Secret messages sent from the sender to the receiver are considered as knowledge being transferred from the expert to the novice. However, previous studies related to the knowledge transfer from experts to novices in the field of computer security, particularly in the field of steganography, are limited. Therefore, this study aims to investigate the knowledge transfer process occurring in steganography by using an information management transfer model. The methodology consists of theory development, model validation, instrument development, survey and model verification. This paper proposes a novel Stego-based SECI Model that demonstrates how the knowledge transfer process occurs in steganography.  

Author(s):  
Elly Philpott ◽  
John Beaumont-Kerridge

This chapter argues the case for a proactive process to facilitate knowledge creation between universities and small to medium size enterprises (SMEs). Cultural issues dictating reticence of engagement are discussed as well as the inhibitors that prevent the free interchange of knowledge. The chapter shows how reticence can be overcome by serving the needs of both parties and how knowledge created through successful interaction can be measured. The knowledge creation process itself is analysed in the context of Nonaka’s SECI model. The chapter concludes with recommendations for the reader on areas for public investment to enhance the knowledge transfer process and provides lessons learned for the measurement of knowledge transfer at these interfaces. The outcomes are of value to those interested in the continuing applicability of Nonaka’s work outside of the heavy industrial context as well as to those interested in the traditional problems associated with knowledge transfer between universities and SMEs.


2019 ◽  
Vol 6 (1) ◽  
pp. 40-49
Author(s):  
Teresa Paiva

Background: The theoretical background of this article is on the model developed of knowledge transfer between universities and the industry in order to access the best practices and adapt to the study case in question regarding the model of promoting and manage innovation within the universities that best contribute with solution and projects to the business field. Objective: The development of a knowledge transfer model is the main goal of this article, supported in the best practices known and, also, to reflect in the main measurement definitions to evaluate the High Education Institution performance in this area. Methods: The method for this article development is the case study method because it allows the fully understanding of the dynamics present within a single setting, and the subject examined to comprehend what is being done and what the dynamics mean. The case study does not have a data collection method, as it is a research that may rely on multiple sources of evidence and data which should be converged. Results: Since it’s a case study this article present a fully description of the model proposed and implemented for the knowledge transfer process of the institution. Conclusion: Still in a discussion phase, this article presents as conclusions some questions and difficulties that could be pointed out, as well as some good perspectives of performed activity developed.


PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0120523 ◽  
Author(s):  
Mélodie-Anne Drouin ◽  
Richard Fleet ◽  
Julien Poitras ◽  
Patrick Archambault ◽  
Jean-Marc Chauny ◽  
...  

Author(s):  
Gabriel Szulanski ◽  
Sunkee Lee

In this chapter, we review research on knowledge transfer and integrate it with the broader organizational learning literature. We begin by reviewing the barriers to knowledge transfer in terms of the characteristics of the knowledge transferred, those of the source, those of the recipient, and those of the context in which knowledge is transferred. Then we review methods to facilitate knowledge transfer across organizational units and organizations. Next, based on recent literature that highlights the importance of timing (Szulanski et al., 2016), we explain when and how to use certain knowledge transfer methods. In particular, we summarize a methodology for analyzing these methods based on each method’s affordance for tacit knowledge exchange, and we provide suggestions on how to time the administration of methods depending on the barriers in the knowledge transfer process. We conclude the chapter by discussing possible directions for future knowledge transfer research.


2019 ◽  
Vol 25 (1) ◽  
pp. 10-26 ◽  
Author(s):  
Pasquale De Luca ◽  
Mirian Cano Rubio

Purpose The knowledge transfer plays a key role in the firm’s capability to develop and to maintain a strategic competitive advantage over time. The capability of the firm to develop an efficient and effective process of knowledge transfer increases the internal skills and then the capability to compete in the business with positive effects on the performance. In order to maximize the effectiveness and efficiency of the knowledge transfer process it must be consider two main variables: the amount of knowledge to be transferred and the speed of the process. In this contest, the purpose of this paper is to developed a theoretical model, defined the knowledge transfer curve, able to evaluate the knowledge transfer process on the basis of its speed. Design/methodology/approach The curve of the knowledge transfer is based on the methodology of the learning curve. The curve of the knowledge transfer process can be evaluated on the basis of two main variables: the first is the content of knowledge to be transferred. It refers to the quality and quantity of the information to be transferred within the firm; and the second is the speed of the knowledge transfer process. It refers to the time in which the knowledge transfer can be realized. The function of the knowledge transfer is defined using ordinary differential equation. Findings There is an inverse relationship between time t and the variation rate r. The higher the variable r, the faster the knowledge transfer toward the level K. Therefore, the variable r measures the efficiency and effectiveness of the knowledge transfer process. On the basis of these considerations, manager must evaluate their policies about the knowledge transfer on the basis of their effects on the variable r: only the policy that increases its value can be considered effective for the knowledge transfer process. Originality/value The originality resides in the development of a theoretical model that is able to capture and measure the effectiveness and efficiency of the knowledge transfer. It is possible to define a curve of knowledge transfer on the basis of these two variables: content of the knowledge to be transferred and the time of the transfer process, by using an ordinary differential equation.


2009 ◽  
pp. 1622-1637
Author(s):  
M. Millie Kwan ◽  
Pak-Keung Cheung

Knowledge transfer in an organization is the process through which one unit (e.g., group, department, or division) is affected by the experience of another. Yet, experience has shown that transferring knowledge, whether at the individual, group, product line, department, or division level, is usually a laborious, time-consuming, and difficult task. In this article, we review 20 recent empirical studies on knowledge transfer and suggest a fourstage process model to summarize and organize their findings. This resulted in a framework where determinants for success at each stage of the knowledge transfer process are defined. Based on this knowledge transfer framework, we propose a knowledge transfer management system that integrates current knowledge management tools and technologies to support the needs at different stages of the knowledge transfer process.


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