Does Big Data Mean Big Knowledge?
Knowledge Management Perspectives on Big Data and Analytics
Emerald Group Publishing Limited
Published on 15. March 2017
232 pages
978-1-78714-506-1 (ISBN)
Description
The papers in this e-book present a variety of perspectives on big data/analytics and knowledge management (KM). Some of the papers make a reasonable, if not an overwhelmingly compelling, case for linking knowledge creation and use with big data/analytics. A few of the papers work more diligently in arguing for the placement of big data/analytics within a more traditional KM oriented framework of organizational or personal effectiveness or management decision-making. Some of the papers provide empirical evidence linking big data/analytics with KM or aspects of KM such as knowledge creation, while others take somewhat critical views of this relationship.
More details
Persons
Content
- m10001170000C1
- JKM_21_1_Text_V01
- m1000117000001
- Does big data mean big knowledge? KM perspectives on big data and analytics
- Introduction
- What does this mean for KM?
- Our take - a role for big data/analytics in KM
- Conclusion and implications
- References
- m1000117000007
- Davenport and Prusak on KM and big data/analytics: interview with David J. Pauleen
- Introduction
- m1000117000012
- Dave Snowden on KM and big data/analytics: interview with David J. Pauleen
- Introduction
- m1000117000018
- Big data text analytics: an enabler of knowledge management
- 1. Introduction
- 2. Conceptual background
- 3. Method of big data text analytics
- 4. Findings
- 5. Discussion and conclusions
- 6. Limitations and future research directions
- References
- m1000117000035
- An exploration of contemporary organizational artifacts and routines in a sustainable excellence ...
- 1. Introduction
- 2. Background
- 3. Big data analytics and organizational intelligence
- 4. Developing a model for organizational excellence
- 5. Discussion and concluding remarks
- References
- m1000117000057
- How the Internet of Things can help knowledge management: a case study from the automotive domain
- 1. Introduction
- 2. Knowledge management
- 3. Overview of IoT
- 4. IoT can help KM to capture data to be used in organisations
- 5. Conversion of big data into knowledge using a case study
- 6. Conclusion
- References
- m1000117000071
- Information and reformation in KM systems: big data and strategic decision-making
- Introduction
- The working assumptions
- Looking into (big) data
- Structured and unstructured decision-making
- The decision-data quadrants
- Setting the ground rules for advanced knowledge management systems
- Discussion and conclusion
- References
- m1000117000092
- Big data systems: knowledge transfer or intelligence insights?
- Introduction
- Background
- Conceptualization
- Results and discussion
- Conclusions
- References
- m1000117000113
- Big data and knowledge management: a case of déja
- 2q vu or back to the future?
- Introduction
- Big data
- Knowledge management
- Do big data signify the end for knowledge management?
- Discussion
- Conclusions
- References
- m1000117000132
- Creation of knowledge-added concept maps: time augmention via pairwise temporal analysis
- 1. Introduction
- 2. Literature review
- 3. Research model: pair-wise temporal analysis
- 4. Methodology
- 5. Results: model demonstration
- 6. Model validation and conclusion
- References
- m1000117000156
- Facilitating knowledge management through filtered big data: SME competitiveness in an agri-food ...
- Introduction
- Literature review
- Methodology
- Findings
- Discussion
- Conclusion
- References
- m1000117000180
- Interrelationship between big data and knowledge management: an exploratory study in the oil and ...
- 1. Introduction
- 2. Big data
- 3. Big data and knowledge management
- 4. Research context and motivation
- 5. Methodology
- 6. Results
- 7. Analysis
- 8. Conclusions
- References
- m1000117000197
- Cognitive big data: survey and review on big data research and its implications. What is really ...
- 1. Introduction
- 2. Method and approach
- 3. Re-thinking "Data" in "Big data": dark data, gray data, light dat ...
- 4. Two distinct "Mental models" in cognitive Big Data
- 5. A socio-technical knowledge system
- 6. Visualization, sensory presentation and meaning as key challenge
- 7. Consequences of cognitive Big Data in knowledge management
- 8. Conclusion
- References
- m1000117000213
- The concepts of big data applied in personal knowledge management
- 1. Introduction and background
- 2. Literature review
- 3. The implications of big data for personal applications
- 4. Research methodology
- 5. The concepts of big data applied in personal knowledge management
- 6. Summary
- References
