When I Seem More Important than T in IT

Author(s):  
Petter Gottschalk

It has long been argued that information (I) is more important than technology (T) in information technology (IT). Thus in this case study, we will focus on information. The case is concerned with intelligence, which is the kind of information needed to prevent crime. This article starts by describing police intelligence, the case of U.S. intelligence strategy, and intelligence sources. Intelligence supports knowledge work as classified in the knowledge matrix. Next, technology is introduced in terms of the stages of growth model for knowledge management technology, since police intelligence work is conceptualized as knowledge work in this article.

Author(s):  
Petter Gottschalk

Officer-to-officer systems are found at Stage 2 of the stages-of-growth model for knowledge management technology. Information about who knows what is made available to all police officers, and to selected, outside partners. At Stage 2, organizations apply the personalization strategy, which implies that knowledge is tied to the person who developed it, and is shared mainly through person-to-person contact.


2008 ◽  
pp. 2774-2795 ◽  
Author(s):  
Adekunle Okunoye

Information technology and social-cultural, organizational variables are considered major components to support knowledge processes in knowledge management. These components have to be carefully managed and be supported in balanced proportion for organization to create and retain greater value from their core competencies. The peculiar situation of developing countries, where there is lack of adequate information technology infrastructure, emphasizes the importance of strategic management of organizational information technology. Using a case study, we discuss the possibility of outsourcing the management of the information technology in order to have more focus on the other components in knowledge management.


Author(s):  
William Schulte ◽  
Kevin J. O'Sullivan

Information and knowledge management technologies and globalization have changed how firms in service industries formulate, implement and sustain competitive advantage. This research project contributes to our understanding of the relationships between Global Knowledge Management Technology Strategies and Competitive Functionality from Global IT. Based on field research this study found that Global Knowledge Management Technology strategies have a positive impact on Competitive Advantage from Information Technology Applications Functionality from Global IT. This study provides recommendations to International Engineering, Procurement and Construction Industry executives regarding the impact of knowledge management strategies and global information technology on competitive advantage of firms in their industry.


Author(s):  
Petter Gottschalk

Knowledge management systems refer to a class of information systems applied to manage organizational knowledge. These systems are IT applications to support and enhance the organizational processes of knowledge creation, storage and retrieval, transfer, and application (Alavi & Leidner, 2001). The knowledge management technology stage model presented in this chapter is a multistage model proposed for organizational evolution over time. Stages of knowledge management technology is a relative concept concerned with IT’s ability to process information for knowledge work. The knowledge management technology stage model consists of four stages (Gottschalk, 2005). When applied to law enforcement in the following chapters, the stages are labeled officer-to-technology, officer-to-officer, officer-to-information, and officer-to-application.


2021 ◽  
Vol 1 (1) ◽  
pp. 42-49
Author(s):  
Joang Ipmawati ◽  
Yana Hendriana

Information Technology Division is one of the divisions in Pangestu Jaya Ltd. which engaged in IT Department, where in this division there are several sub-divisions that are interrelated and have the duty and responsibility of each individual to improve services in The company. Turnover is one of the major obstacles in order to still be able to keep the knowledge technology in the company, because there are still many employees with outsourced status who often do turnover in IT division, so difficult to keep the knowledge. therefor need a knowledge management technology which is capable of storing, distributing knowledge in order to renew even while maintaining corporate knowledge. The system design of this research used SECI and WIL (Work Integrated Learning).


2017 ◽  
Vol 13 (2) ◽  
pp. 181
Author(s):  
Nurdin Nurdin

Information technology has been considered as a vital tool  for modern organizations  to support their knowledge management projects. Previous studies have found that success knowledge management projects were supported by various information technology infrastructures. They addressed how information technology has succesfully implemented to support knowledge management project within conventional banks. However, limited study has been proposed regarding how information technology play roles in support knowledge management project within Islamic banks. Through the case study approach, the author studied the use of information technology for knowledge management process within two Bank Syariah (Bank Mandiri and Bank BNI Syariah) in Palu Central Sulawesi. The author collected data through observation, written material, and  in-depth interviews with key informants from both banks. The findings show that information technology infrastructures have played important roles in support knowledge management projects within the Islamic banks. Those information technology infrastructures includes internet, intranet, websites, communication application such as email, and social media.  This study sheds light and provides new insight on how information technology has succesfully used to support knowledge management within Islamic banks. The results benefits both academic and practioners in Islamic banks and knowledge managemet area. As the social media was an important finding for knowledge management in Islamic banks,  future research need to focus on how social media should be used for knowledge management projects in Islamic banks


2022 ◽  
Vol 19 ◽  
pp. 40-53
Author(s):  
Marzena Fryczyńska

This paper investigates determinants of knowledge transfer in egocentric networks of knowledge recipient and knowledge provider, what is crucial to knowledge management in organisations. Knowledge transfer is assumed to depend on knowledge work, networking competence, and the subject’s profession: teacher, Information Technology (IT) professional, or physician. The paper reports result of a quantitative study among samples of mentioned professionalists. Regression models testing, including mediation and moderation, were performed. The findings indicate that knowledge transfer in the egocentric network of the knowledge recipient increases along with knowledge work, but only when it is mediated by networking competence. Analyses in each profession support a partial mediation in the case of IT professionals and teachers. Knowledge transfer in egocentric network of the knowledge provider increases along with knowledge work of the provider. In the case of physicians, knowledge transfer in the providers’ and recipients’ knowledge networks is affected neither by knowledge work nor by networking competence.


Author(s):  
Petter Gottschalk

Knowledge management systems refer to a class of information systems applied to manage organizational knowledge. These systems are IT applications to support and enhance the organizational processes of knowledge creation, storage and retrieval, transfer, and application (Alavi & Leidner, 2001). The knowledge management technology stage model presented in this chapter is a multistage model proposed for organizational evolution over time. Stages of knowledge management technology are a relative concept concerned with IT’s ability to process information for knowledge work. The knowledge management technology stage model consists of four stages (Gottschalk, 2005). When applied to law enforcement in the following chapters, the stages are labeled officer-to-technology, officer-to-officer, officer-to-information, and officer-to-application.


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