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<p style="margin: 0px; font-family: Helvetica; color: rgb(1, 128, 75);">Does Big Data mean Big Knowledge? KM Perspectives on Big Data and Analytics</p>
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Special issue call for papers from Journal of Knowledge Management</p>
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<p style="margin: 0px; font-family: Helvetica; color: rgb(1, 128, 75);">What is the special issue about?</p>
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<p style="margin: 0px; font-size: 10px; font-family: Helvetica;"> Guest edited by
<span style="color: #215488">David J Pauleen</span> , Massey University, Auckland and
<span style="color: #215488">William Yu Chung Wang</span> ,</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Auckland University of Technology Auckland, New Zealand, this special issue focuses on KM</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">and big data/analytics, of which there is currently almost no conceptual or empirical research.</p>
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<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Specifically, it addresses the question:</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• In what ways can KM conceptually and in practice act as an intermediary between big data/analytics and management decision-making?</p>
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<p style="margin: 0px; font-family: Helvetica; color: rgb(1, 128, 75);">Specific topics we invite you to provide submissions on:</p>
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<p style="margin: 0px; font-size: 10px; font-family: Helvetica;"> We are seeking both conceptual and empirical papers offering new insights into the following</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">topics:</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Techniques, methods and models in accessing Big Data as part of KMS</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Case studies of utilizing Big Data in KMS and KM initiatives</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• How filtered Big Data results can be used continuously as organizational knowledge</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Big Data and its implications for personal knowledge management.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Does Big Data mean big knowledge? Critical perspectives are welcome.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Identifying the gaps between traditional data and information approaches and the opportunities in Big Data.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Market Analysis – Systems vendors and organizational users.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• New organizational Big Data and analytics initiatives as a part of KM strategy and practice.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Trends in Big Data - eCommerce, MCommerce and Ubiquitous Commerce, how</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;"> they contribute to Big Data - and KM models for business application and management decision making.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Technology impacts – Internet of Things and Big Data, what’s next for Knowledge Management?</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Analytical ability and insight: what are the implications for organizational staffing and professionals?</p>
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<p style="margin: 0px; font-family: Helvetica; color: rgb(1, 128, 75);">Proposed schedule:</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;"> Submission deadline: July 31, 2015</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;"> Papers reviewed: October 31, 2015</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;"> Revised papers reviewed and accepted: January 31, 2016</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;"> Final versions of accepted papers delivered: February 30, 2016</p>
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<p style="margin: 0px; font-family: Helvetica; color: rgb(1, 128, 75);">Further guidance on submission:</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Please read the
<span style="color: #215488">publication style guidelines </span> before submitting your paper</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Go here to <span style="color: #215488">
register/or log on </span> to submit your paper to ScholarOne</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Papers should be 7,000 to 10,000 words in length and not published previously in</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">any other journal (print or electronic format)</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• If you have any question about the special issue or your intended submission,</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">please contact the guest editors.</p>
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<p style="margin: 0px; font-family: Helvetica; color: rgb(1, 128, 75);">More information about the subject of the special issue:</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;"> In the Era of Exabytes (e.g., Google Datacenter is estimated to contain 15 exabytes [Munroe,</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">2014]), information on the world-wide internet has become too large and complex for</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">traditional tools to analyze. Big data is the term used to describe this phenomenon. Big data</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">can be understood primarily as the huge amounts of data generated by the Internet, mobile</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">phones, tablets, etc. and characterized by the 3 V’s, Volume, Velocity, and Variety (Laney, D.,</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">2001; McAffey & Brynjolfsson, 2012; O’Leary, 2013; Watson & Marjanovic, 2013)</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Research interested in big data has been growing quickly: Sixteen published</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">articles/editorials in 2011 with “Big Data” in their title or topic with the numbers rising to 60 in</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">2012, and to 217 in 2013 (Web of Science). Organizational interest and awareness of big</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">data is also increasing as demonstrated by articles in practitioner journals and the popular</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">press; however, not all practitioners are well-informed on the opportunities, limitations and</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">challenges presented by big data and throughout management knowledge gaps can be</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">identified (Davenport, 2013; LaValle, Lesser, Shockley, Hopkins, & Kruschwitz, 2011; Watson</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">& Marjanovic, 2013).</p>
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<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Business analytics are “the techniques, technologies, systems, practices, methodologies, and</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">applications”(Chen et al., 2012: 1166) that analyze big data. Analytics can help organizations</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">to better understand the business and social environment and improve real and near real time</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">decision making. Big data analytics, data mining and analysis, now include text, Web,</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">network, and mobile analytics. The reach of big data and analytic knowledge is impressive</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">and pervasive. Diverse areas such as e-commerce, market intelligence, e-government,</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">science and technology, health and wellbeing, and security and public safety are all making</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">use of big data and innovative analytics (Chen et al., 2012). However, big data is complex</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">and so is the analysis of it. Extracting valuable knowledge from big data might only be</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">possible for a limited number of highly trained personnel. Can such knowledge be made</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">available organization wide, so everybody can benefit from it?</p>
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<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Big data and analytics present both opportunities and challenges in many areas of business</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">and government. This special issue is concerned with how Knowledge Management (KM)</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">can help address these challenges. For more than two decades KM has addressed issues of</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">information and knowledge management in organizations and in particular in relationship to</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">organizational decision-making. As such, KM and Knowledge Management Systems (KMS)</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">can offer both tools and conceptual understanding in the management and use of big data</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">and analytics in organizational management and decision-making.</p>
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<p style="margin: 0px; font-family: Helvetica; color: rgb(1, 128, 75);">References:</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business Intelligence and Analytics:</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">From Big Data to Big Impact. MIS Quarterly, 36(4).</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Davenport, T. H. (2013). Analytics 3.0. Harvard Business Review, 91(12), 64-72.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Google's Data Centers on Punched Cards". Randall Munroe. October 4, 2013. Retrieved May 10, 2014.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Laney, D. (2001). 3D Data Management: Controlling Data Volume, Velocity, and</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Variety. Retrieved from blogs.gartner.com/doug-laney/</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Data, Analytics and the Path from Insights to Value. MIT Sloan Management Review, 21.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• McAfee, A., & Brynjolfsson, E. (2012). Big Data: the Management Revolution.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Harvard Business Review, 90(10), 60-66.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• O'Leary, D. E. (2013). Artificial Intelligence and Big Data. IEEE Intelligent Systems,</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">28(2), 0096-0099.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Pauleen, D. & Gorman, G. (eds.) (2011) Personal Knowledge Management:</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Individual, Organizational and Social Perspectives. Gower:London.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Pauleen, D. (Ed) (2009). “Personal Knowledge Management: Putting the ‘person’</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">back into the knowledge equation" Special Issue on Personal Knowledge</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Management. Online Information Review, 33 (2), 221-224.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Pauleen, D. (Ed) (2006) “Cross-Cultural Perspectives on Knowledge Management.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Libraries Unlimited:</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Watson, H. J., & Marjanovic, O. (2013). Big Data: The Fourth Data Management</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Generation. Business Intelligence Journal, 18(3), 4-8.</p>
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<p style="margin: 0px; font-family: Helvetica; color: rgb(1, 128, 75);">More about the guest editors:</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;"> • David J Pauleen is an Associate Professor in Massey University, Auckland. He holds a</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">PhD from the University of Victoria, Wellington. He has published a number of articles</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">on knowledge management and has (co-) edited two books (2006, 2011) on</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">knowledge management and a special journal issue (2009) on personal knowledge</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">management.</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">• Associate Professor William Y C Wang is currently working for the Auckland University of</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">Technology, Auckland. He has served on the editorial board/advisory board for a</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">number of international journals. His publications are related to the management of</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">large scale systems including enterprise systems, supply chain management, and</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">associated business intelligence.</p>
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<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">- See more at:</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">http://emeraldgrouppublishing.com/products/journals/call_for_papers.htm?id=5855#sthash.uc</p>
<p style="margin: 0px; font-size: 10px; font-family: Helvetica;">u8NySD.dpuf</p>
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