Srečko Natek

Bio: Srečko Natek is an academic researcher from University of Primorska. The author has contributed to research in topics: Data management & Information system. The author has an hindex of 1, co-authored 2 publications receiving 14 citations.

Improving Knowledge Management by Integrating Hei Process and Data Models

Abstract: This paper asserts that in order to improve knowledge management, higher education institutions (HEIs) should integrate their process and data models in conjunction with the knowledge management pe...

Trial work: the way to successful information system projects in healthcare

Abstract: The lack of user knowledge about a new healthcare information system leads to project problems. A project's success is usually measured by end user and management satisfaction. The training of healthcare personnel about how to use a new system is not enough. Trial work is the essential and sometimes missing link between personnel knowledge and the successful use of an information system introduced in healthcare. Trial work should be carefully planned, organised and monitored. For best results, the trial use of the new information system has to be defined by management as a must for healthcare employees.

Strategic planning for information systems

Abstract: Want to get experience? Want to get any ideas to create new things in your life? Read strategic planning for information systems now! By reading this book as soon as possible, you can renew the situation to get the inspirations. Yeah, this way will lead you to always think more and more. In this case, this book will be always right for you. When you can observe more about the book, you will know why you need this.

Student data mining solution–knowledge management system related to higher education institutions

Abstract: Higher education institutions (HEIs) are often curious whether students will be successful or not during their study. Before or during their courses the academic institutions try to estimate the percentage of successful students. But is it possible to predict the success rate of students enrolled in their courses? Are there any specific student characteristics, which can be associated with the student success rate? Is there any relevant student data available to HEIs on the basis of which they could predict the student success rate? The answers to the above research questions can generally be obtained using data mining tools. Unfortunately, data mining algorithms work best with large data sets, while student data, available to HEIs, related to courses are limited and falls into the category of small data sets. Thus, the study focuses on data mining for small student data sets and aims to answer the above research questions by comparing two different data mining tools. The conclusions of this study are very promising and will encourage HEIs to incorporate data mining tools as an important part of their higher education knowledge management systems.

Knowledge Management: An Integrated Approach

Abstract: Knowledge management encompasses all aspects of managing a company’s intellectual capital, from filing, to intranets, to team briefings. It “promotes a collaborative and integrative approach to the creation, capture, organisation, access and use of information assets” (European Centre for Customer Strategies). In the past firms have approached KM as a well-defined function, or task to be completed. In fact it is simply a way of working, which recognises the importance of using existing and current knowledge. Once adopted, this method of operating should gradually become invisibly embedded into a company’s strategy and culture.

Turning knowledge management into innovation in the high‐tech industry

Abstract: Purpose – Organizations are facing a rapidly changing environment and there is a greater need to understand customers' demands and competitors' strategies for the development of product innovation The purpose of this paper is to explore the effects of market orientation, market knowledge and customer knowledge management on product innovation performance from the perspective of dynamic capabilityDesign/methodology/approach – The data were collected from high‐tech firms in Taiwan This study employs the structural equation model (SEM) to examine the relationships between market orientation, market knowledge, customer knowledge management and product innovation performanceFindings – The findings of this study suggest market orientation has no significant impact on product innovation performance, and market knowledge and customer knowledge management mediate the relationship between market orientation and product innovation performanceResearch limitations/implications – This paper suggests the considerat

Knowledge Management and the Creation of Business Value

Abstract: Knowledge management (KM) initiatives that create business value are a major focus for many organizations. While academics often couch KM success in terms of process outcomes, some argue that the organizational outcomes perspective of KM success held by many practitioners is clearer, where KM success is tied to its impact on organizational performance. This study proposes an integrated model that incorporates both perspectives, in which the business value of KM is the dependent variable and effective KM process implementation is an important antecedent. We also hypothesize that two contextual factors, top management support and organizational culture, are positively related to business value. Data collected from a U.S. national survey of 268 information technology (IT) executives support the significance of these relationships. Furthermore, this research identifies key KM barriers as well as benefits that influence top management support of KM, KM process implementation, and indirectly business value. Pra...