Improving competitive intelligence for knowledge management systems

Parker, Kevin R.; Nitse, Philip S.

doi:10.1504/ijiem.2005.007229

Cited by 7 publications

(6 citation statements)

References 33 publications

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“… Commonly employs a wide range of analytical methods (Fleisher and Bensoussan, 2003, 2007) – Effective C/MI analysts rely on an impressive array of analysis methods in order to address the increasingly wide range of client demands that come out today. Generalist analysts will need to be comfortable with wider arrays of analysis methods, since these will both guide data collection planning as well as serve as the fulcrum upon which their analyses are balanced. Knowledge management systems to acquire, store & disseminate validated intelligence (Rothberg and Erickson, 2004) – There is a growing array of purpose‐specific intelligence and knowledge management software and applications that provides greater functionality than prior versions (Parker and Nitse, 2005). Combined with sufficient memory storage, as well as finely honed policies that guide intelligence practice, these systems can allow for more efficient and effective scanning and exploitation of gathered data (Decker et al , 2005), not to mention the ability to deliver outputs in real‐time (Azvine et al , 2005).…”

Section: Demonstrated and Proven Practices At The Junction Of Osint And Analysismentioning

confidence: 99%

“…Knowledge management systems to acquire, store & disseminate validated intelligence (Rothberg and Erickson, 2004) – There is a growing array of purpose‐specific intelligence and knowledge management software and applications that provides greater functionality than prior versions (Parker and Nitse, 2005). Combined with sufficient memory storage, as well as finely honed policies that guide intelligence practice, these systems can allow for more efficient and effective scanning and exploitation of gathered data (Decker et al , 2005), not to mention the ability to deliver outputs in real‐time (Azvine et al , 2005).…”

Section: Demonstrated and Proven Practices At The Junction Of Osint And Analysismentioning

confidence: 99%

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Using open source data in developing competitive and marketing intelligence

Fleisher

2008

European Journal of Marketing

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PurposeThe paper seeks to show how the increasingly popular use of data and information acquired from open sources (OS) impacts competitive and marketing intelligence (C/MI). It describes the current state of the art in analysis efforts of open source intelligence (OSINT) in business/commercial enterprises, examines the planning and execution challenges organizations are experiencing associated with effectively using and fusing OSINT in C/MI decision‐making processes, and provides guidelines associated with the successful use of OSINT.Design/methodology/approachThis is a descriptive, conceptual paper that utilizes and develops arguments based on the search of three unclassified bodies of literature in competitive and marketing intelligence, intelligence processing and marketing analysis.FindingsOpen sources are useful in marketing analyses because they can be easily accessible, inexpensive, quickly accessed and voluminous in availability. There are several conceptual and practical challenges the analyst faces in employing them. These can be addressed through awareness of these issues as well as a willingness to invest resources into studying how to improve the data gathering/analysis interface.Practical implicationsMarketing analysts increasingly rely on open sources of data in developing plans, strategy and tactics. This article provides a description of the challenges they face in utilizing this data, as well as provides a discussion of the effective practices that some organizations have demonstrated in applying and fusing open sources in their C/MI analysis process.Originality/valueThere are very few papers published focusing on applying OSINT in enterprises for competitive and marketing intelligence purposes. More uniquely, this paper is written from the perspective of the marketing analyst and how they use open source data in the competitive and marketing sense‐making process and not the perspective of individuals specialized in gathering these data.

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Section: Demonstrated and Proven Practices At The Junction Of Osint And Analysismentioning

confidence: 99%

Section: Demonstrated and Proven Practices At The Junction Of Osint And Analysismentioning

confidence: 99%

Using open source data in developing competitive and marketing intelligence

Fleisher

2008

European Journal of Marketing

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“…The KITs process can help to identify and define critical intelligence needs (Herring, 1999). Moreover, Parker and Nitse (2001) suggested the hiring of a specialist trained in knowledge engineering, a specialist trained in knowledge engineering who can greatly assist the specification of key concepts for the domain ontology. The use of natural language processing techniques for determining the contents of each digital document; collecting and managing internal and external sources or even subscribing databases from third party vendors or other informal online sources are also suggested as important elements of LKMC model.…”

Section: Components Of a Library Knowledge Management Center (Lkmc)mentioning

confidence: 99%

Computer Science & Information Technology ( CS & IT )

2015

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) were collocated with the CCSEA-2015. The conferences attracted many local and international delegates, presenting a balanced mixture of intellect from the East and from the West.The goal of this conference series is to bring together researchers and practitioners from academia and industry to focus on understanding computer science and information technology and to establish new collaborations in these areas. Authors are invited to contribute to the conference by submitting articles that illustrate research results, projects, survey work and industrial experiences describing significant advances in all areas of computer science and information technology.The CCSEA-2015, DKMP-2015, AIFU-2015, SEA-2015 Committees rigorously invited submissions for many months from researchers, scientists, engineers, students and practitioners related to the relevant themes and tracks of the workshop. This effort guaranteed submissions from an unparalleled number of internationally recognized top-level researchers. All the submissions underwent a strenuous peer review process which comprised expert reviewers. These reviewers were selected from a talented pool of Technical Committee members and external reviewers on the basis of their expertise. The papers were then reviewed based on their contributions, technical content, originality and clarity. The entire process, which includes the submission, review and acceptance processes, was done electronically. All these efforts undertaken by the Organizing and Technical Committees led to an exciting, rich and a high quality technical conference program, which featured high-impact presentations for all attendees to enjoy, appreciate and expand their expertise in the latest developments in computer network and communications research.In closing, CCSEA-2015, DKMP-2015, AIFU-2015, SEA-2015 brought together researchers, scientists, engineers, students and practitioners to exchange and share their experiences, new ideas and research results in all aspects of the main workshop themes and tracks, and to discuss the practical challenges encountered and the solutions adopted. The book is organized as a collection of papers from the CCSEA-2015, DKMP-2015, AIFU-2015, SEA-2015 We would like to thank the General and Program Chairs, organization staff, the members of the Technical Program Committees and external reviewers for their excellent and tireless work. We sincerely wish that all attendees benefited scientifically from the conference and wish them every success in their research. It is the humble wish of the conference organizers that the professional dialogue among the researchers, scientists, engineers, students and educators continues beyond the event and that the friendships and collaborations forged will linger and prosper for many years to come. Dhinaharan

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“…8. For a useful and informative discussion on the relationship between competitive intelligence and knowledge management, see Parker and Nitse (2005). 9.…”

Section: Notesmentioning

confidence: 99%

Commercial satellite imagery: CI, KM, and trade secret law

Gayton

2007

Vine

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Purpose -The purpose of this paper is to examine the implications of remote surveillance or satellite imagery as they relate to trade secret law, knowledge management, and competitive intelligence. Design/methodology/approach -The paper approaches legal issues from the perspective of a trade secret holder. Findings -While conducting research for this paper, it was found that, while technological improvements relating to satellite imagery and remote sensing are increasingly more precise and ubiquitous, the laws protecting businesses that have an interest in protecting trade secrets are inconsistent. On the one hand, the US Government has given itself a powerful tool to protect trade secrets under the Economic Espionage Act. On the other hand, the Government has granted remote satellite companies licences under which they may sell satellite images to industrial competitors, consequently thwarting trade secret protection efforts Originality/value -Trade secrets represent a valuable contribution to a nation's economy, particularly when some interventions do not meet the requirements necessary for more traditional intellectual property regime protection (e.g. copyright, trade mark, patents). A trade secret's value lies in it remaining hidden. There are few cases addressing trade secrets and satellite imagery. The stalwart case, E.I. duPont deNemours & Co., Inc. v. Rolfe Christopher, represents a tentative foray into the subject, but only suggests the rights a trade secret holder may have when a commercial satellite company collects otherwise innocuous data and sells those to a competitor. A proper plaintiff to test the boundaries surrounding trade secret law, satellite imagery, and competitive intelligence remains at large.

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Improving competitive intelligence for knowledge management systems

Cited by 7 publications

References 33 publications

Using open source data in developing competitive and marketing intelligence

Using open source data in developing competitive and marketing intelligence

Computer Science & Information Technology ( CS & IT )

Commercial satellite imagery: CI, KM, and trade secret law

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