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A Methodology for Documenting Key Knowledge Through the
Application of Knowledge Audit Techniques:
The Case of a Mexican Pulp Company
--Alonso Perez-Soltero, Rosario Alvarez-Quijada,
Mario Barcelo-Valenzuela and Andres Diaz-Valladares
Leveraging organizational knowledge is very important to improve the competitiveness of any company. Likewise, in the case of companies engaged in production of goods, proper documentation of manufacturing processes is critical to ensure the quality of products reaching the customers. This paper aims to propose a methodology to structure and document the process that takes place in the development of new products through the application of tools for auditing knowledge in order to ensure quality in the finished products. In addition to the proposed methodology, it is proposed to structure and design procedures for documenting and troubleshooting processes in the development of new products with a primary emphasis on identifying the key knowledge existing in the processes that are intended to document. Obtaining this key knowledge is through the application of audit techniques for knowledge and its representation is through knowledge maps. To validate this proposal, this methodology was implemented in a company engaged in the manufacture of packaging products located in Northwest Mexico.
© 2013 IUP. All Rights Reserved.
Knowledge Dimensions to Monitor Knowledge Growth
in Service Sector
--Deepa Ittimani Tholath
Knowledge Management (KM) is a continuous and systematic process in which knowledge is transferred from the lowest level where it is generated to the processing centre of the organization so that it can be utilized to bring about beneficial changes to the organization. For this process to become effective with maximum returns, it should be a systematic and deliberate building up and application of knowledge. So KM in this organizational concept involves four steps: (a) A process by which knowledge assets are identified; (b) Development of assets through renewal and analysis; (c) Capturing the relevant details and preservation of the same; and (d) Sharing of thus processed knowledge, thereby assisting the process of usage. When an organization improves its efficiency and innovation through the process of KM, it acquires a non-replicable advantage over its competitors. But in order to do this effectively, the knowledge component has to be quantified and priced .So for a knowledge economy to function, it becomes imperative to measure the performance of a KM system. This paper focuses on this dilemma and tries to come out with parameters in the service scenario to monitor knowledge growth which in many cases is difficult to quantify. © 2013 IUP. All Rights Reserved.
Modeling of Knowledge Management Technologies:
An ISM Approach
--A K Singh, M D Singh and B P Sharma
In the knowledge-driven economy, knowledge becomes the only source to enhance the productivity of industries. Knowledge drives strategies and strategies drive knowledge management (KM). KM is a tool to capture the useful knowledge to translate it into actionable form of the organization by effective sharing and reuse. Smooth knowledge flow and its sharing is the backbone of KM. Technologies play an important role to enhance effective knowledge sharing (KS) within the industry. Therefore, it is important to identify and recognize km technologies (KMTs) in the industries to enhance smooth sharing of tacit as well as explicit knowledge. In this study, 24 KMTs have been identified as basic facilitators of KS and KM. Interpretive structural modeling (ISM) has been used to evolve mutual relationships among the KMTs. Identification of KMTs at the root of the hierarchy (called driving KMTs) and those at the top of the hierarchy (called dependent KMTs) is the main aim of this research. The hierarchy of the KMTs obtained from ISM model will assist the senior managers to integrate them according to their driving power to improve the effectiveness of KM. © 2013 IUP. All Rights Reserved.
Search Engine Marketing: Does the Knowledge
Discovery Process Help Online Retailers?
--Tapan K Panda
Knowledge discovery process is a term used for finding out relevant information from a large database. Majority of research is done on how enterprises can use data mining tools for discovering knowledge. However this research paper focuses on user-generated knowledge discovery process through search engine applications for decision making. Users on Internet are resorting to search engines like Google and Yahoo and finding out the desired information. Search engine companies are using web analytics to develop Search Engine Marketing (SEM) strategies and develop sponsored page links on the first page of the search engine. SEM companies rank web pages of companies by using complex algorithms. This research paper focuses on an analysis of knowledge discovery process and customer preferences of page location of the search pages. The paper will help Indian online retailers to use SEM as an effective tool to successfully market themselves on the Internet world. Based on the analysis of data from online shoppers, this study recognizes the key factors in effectively marketing products online and questions the current attitude of online marketers. The authors establish that the positioning of advertisements in Search Engine Result Pages (SERPs) plays a key role in generating traffic for the site. This paper also compares Search Engine Optimization (SEO) and Pay-Per-Click (PPC) frameworks and finds that the latter method is more effective. This paper highlights behavioral targeting to be less effective than the current belief. This research has both theoretical and practical consequences in terms of appreciating the effectiveness of SEM as a self-search knowledge discovery process. © 2013 IUP. All Rights Reserved.
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