Knowledge-based strategies: a foundation of a typology

Russ, Meir; Jones, Jeannette K.; Fineman, Robert M.

doi:10.1504/ijitm.2005.006764

Cited by 12 publications

(14 citation statements)

References 42 publications

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“…The literature also suggests that some IS technologies might be more appropriate in different contexts (e.g. [33]), which is supported by previous research [7], [8].…”

Section: Is and Kb Strategysupporting

confidence: 75%

“…In earlier research [8] skill databases and CRM technologies were found to have significant positive association with Exploration strategy, and DSS have significant positive association with Tacitness strategy. Similar results are expected in this research as well.…”

Section: A Is Technologies and Kb Strategiesmentioning

confidence: 83%

“…Earlier research [8] found that the investment in IS technologies in the context of KB strategies have mixed outcomes at best. Russ, Jones, and Jones [7] suggests that, with regard to Process outcomes, Knowledge Portals, and Groupware, technologies have positive and direct association with the outcomes.…”

Section: Is and Kb Strategymentioning

confidence: 99%

“…Earlier research [7], [8] found that KB strategies showed a significant relationship with the use of some IS technologies.…”

Section: Is and Kb Strategymentioning

confidence: 99%

“…The results of that study [6] demonstrated that the KB strategies had a direct and indirect association with organizational outcomes and culture. Earlier research also identified the significant relationship that two (out of the six) KB strategies have with some of the IS technologies studied [7], [8]. This article will assess the relationship that the C 3 EEP KB strategies have with IS technologies, incorporating further research data and analysis.…”

Section: Introductionmentioning

confidence: 96%

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Knowledge-based strategies and information system technologies: preliminary findings

Russ

Jones

Proceedings. 2005 IEEE International Engineering Management Conference, 2005.

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Knowledge-Based (KB) strategies are being recognized as a vital factor of business strategy. Still, there is limited empirical research in this young academic field. This research intends to add to the limited empirical research in the area of Knowledge Management (KM) and Information Systems (IS) technologies. This research uses a recently proposed framework to analyze the relationship between six KB strategic dimensions, organizational culture, and IS technologies. The results indicated that two KB strategies had a positive association with a number of IS technologies, but not all types of IS technologies.

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“…The literature also suggests that some IS technologies might be more appropriate in different contexts (e.g. [33]), which is supported by previous research [7], [8].…”

Section: Is and Kb Strategysupporting

confidence: 75%

Section: A Is Technologies and Kb Strategiesmentioning

confidence: 83%

Section: Is and Kb Strategymentioning

confidence: 99%

“…Earlier research [7], [8] found that KB strategies showed a significant relationship with the use of some IS technologies.…”

Section: Is and Kb Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

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Knowledge-based strategies and information system technologies: preliminary findings

Russ

Jones

Proceedings. 2005 IEEE International Engineering Management Conference, 2005.

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Knowledge management

Martin

2008

Annual Review Info Sci & Tec

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Big data and knowledge management: a case of déjà vu or back to the future?

Tian

2017

JKM

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Purpose Big data clearly represent an important advance in information systems theory, but to describe it as “revolutionary” is premature. Similar technological breakthroughs, from online databases to ERP, were clearly modulated by advances in the organizational domain, including matters of structure, strategy and culture and arguably big data will be similar. The purpose of this paper is to encourage discussion of the wider implications of big data for the theory and practice of knowledge management. Design/methodology/approach This is a conceptual study based on critical analysis of the relevant literatures including those of organizational studies and management, big data and knowledge management. Findings The literature of big data emphasizes the application of algorithms to pattern analysis and prediction, resulting in data-driven decision-making, with data being the creator of value in organizations and societies. This would appear to render obsolete previous depictions of the “data-information-knowledge” relationship and, in effect, spell the end of knowledge management. However, big data literature largely ignores the organizational dimension and, significantly, the importance of frameworks, strategies and cultures for big data. As all of these are present in the literature of knowledge management, it would seem that big data have a long way to go to catch up and qualify even as a sub-discipline. Indeed, on the evidence, big data may well have a future as a contributor to and/or an element of knowledge management. Even for this to happen, however, major advances are required across the spectrum of big data technologies. Research limitations/implications This is a position paper written as the precursor for an empirical study. Originality/value The paper offers a critical literature-based and knowledge management perspective on big data while pointing out the common thread that runs through decades of advances in information systems technologies.

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Knowledge-based strategies: a foundation of a typology

Cited by 12 publications

References 42 publications

Knowledge-based strategies and information system technologies: preliminary findings

Knowledge-based strategies and information system technologies: preliminary findings

Knowledge management

Big data and knowledge management: a case of déjà vu or back to the future?

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