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IPM 2017 : Special Issue: In (Big) Data we trust: Value Creation in Knowledge Organizations


When N/A
Where N/A
Abstract Registration Due Sep 12, 2016
Submission Deadline Jan 2, 2017
Notification Due Apr 24, 2017
Categories    big data   knowledge management   management   decision making

Call For Papers

Title of Special Issue: In (Big) Data we trust: Value Creation in Knowledge Organizations
Journal: Information Processing & Management, Elsevier

Companies are being forced to reconsider the role of data and analytical capabilities in decision making, innovation management, market research, operations management and many more vital aspects (McAfee, Brynjolfsson, Davenport, Patil, & Barton, 2012; Wamba et al. 2015). Those who have been more intentional in the use of Big Data, have shown to be more productive than their industry peers (Bughin, 2016). The tumultuous development of Big Data Analytics is not always accompanied by a controlled evolution of business processes and organizational structure and this prevents from leveraging the full potential of the advances (Pearson & Wegener, 2013). In other words, technology is making society change at a speed that companies struggle to follow and there is still lack of clarity on the complex set of drivers and inhibitors of effective value creation through Big Data utilization in contemporary firms (Davenport, 2014).

The contributions we would like to collect as part of this special issue will form a coherent set of stimuli for both scholars and professionals who want to crystallize the multiple ways Big Data is impacting the way business is done, and how value is created and captured.

The expected contributions should address the topics indicated in the following non-exhaustive list:

- Big Data Analytics as Value Driver: Which specific aspects within data management, data transformation and data utilization drive (or drain) value for companies? Can the value of data be monetized, tracked and considered for financial accounting?
- Human Resources Management Implications: How can firms develop and retain professional expertise in the domain of Big Data and what is the definition of “analytical excellence” companies should aim at? How should the organizational structure be transformed due to the new paradigms of data-based decision making?
- Evolution of Leadership: What do leaders need now more than in the past as data acquires a central role in the way decisions are made? How can the presence of Big Data steer strategic choices? How is the definition of “power” changing within organizations?
- Strategic implications: Which types of business and revenue models are needed to create and capture value from Big Data in companies? What types of inter-organizational networks, platforms, and ecosystems become important?
- Big Data Controversies: What is the real balance of benefits versus risks when adopting highly data-reliant business models? How to respond to the worrying aspects of Big Data for employees, customers, suppliers and stakeholder, such as privacy and extreme de-humanization of business?

The critical questions above have attracted strong interest over the last few months and a special issue on this topic published over the next 18 months will pave the way to a more rigorous development of Big Data strategies in companies and a more robust and organized stream of future business research within this domain.

Selected Literature

Bughin, J. (2016). Big data, Big bang? Journal of Big Data, 3(1), 2. doi:10.1186/s40537-015-0014-3
Davenport, T. H. (2014). Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. Harvard Business Review Press.
De Mauro, A., Greco, M., & Grimaldi, M. (2016). A formal definition of Big Data based on its essential features. Library Review, 65(3). doi:
McAfee, A., Brynjolfsson, E., Davenport, T. H., Patil, D., & Barton, D. (2012). Big data: the management revolution. Harvard Business Review, 90(10), 1–9. doi:10.1007/s12599-013-0249-5
Pearson, T., & Wegener, R. (2013). Big Data: The organizational challenge. Retrieved from
Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015). How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234-246.

Biographies of Guest Editors

Marco Greco is Assistant Professor at the Department of Civil and Mechanical Engineering at the University of Cassino and Southern Lazio. Graduated with honors in Business Engineering at the University of Rome “Tor Vergata”, he gained the Ph.D. degree in Business and Economic Engineering at the “Tor Vergata” University of Rome. His research interests cover three disciplines: open innovation, strategic management and negotiation models. He serves as a reviewer for several managerial journals and is member of the editorial board of the International Journal of Management and Decision Making. His manuscripts have been published in reputed journals such as European Management Journal, European Journal of Innovation Management, Journal of Business Research and International Journal of Innovation Management.

Michele Grimaldi is Assistant Professor at the Department of Civil and Mechanical Engineering at the University of Cassino and Southern Lazio. Graduated with honors in Business Engineering at the University of Rome “Tor Vergata”, he gained the Ph.D. degree in Business and Economic Engineering at the “Tor Vergata” University of Rome. He is a Tenured Professor of “Knowledge Management” in the second-level MS in Business Engineering organized by the “Tor Vergata” University of Rome and of “Intangible Assets” in the Executive Master Business Administration organized by the “Tor Vergata” University of Rome. He has published more than 80 papers in international journals and conference proceedings. He has been guest editor of special issues for: European Journal of Innovation Management, International Journal of Intelligent Enterprise, International Journal of Management and Entrepreneurship Development, International Journal of Innovation and Technology Management. His manuscripts have been published in reputed journals such as Technological Forecasting and Social Change, International Journal of Production Economics, Journal of Knowledge Management and Journal of Intellectual Capital.

Andrea De Mauro has more than 9 years of international experience as Business Manager, working for Procter and Gamble where he currently holds the role of Head of Analytics for the Southern Europe region. He holds a Master Degree in Electrical and Computer Engineering from the University of Illinois at Chicago, a master degree in ICT with honors from the Polytechnic of Turin and a diploma in Innovation from Alta Scuola Politecnica at Milan. Andrea is currently researching on Analytics, Data Visualization and Decision Making.

Paavo Ritala, D.Sc. (Econ. & Bus. Adm.), is a Professor of Strategy and Innovation at the School of Business and Management at Lappeenranta University of Technology (LUT), Finland. He is interested in themes concerning the organization of value creation and appropriation in heterogeneous organizations, systems and networks, where different actors and institutions co-evolve, collaborate, and compete. In particular, his research has focused on the topics of value creation and appropriation, innovation, management of networks and ecosystems, coopetition, digitalization and business models. His research has been published in journals such as the Journal of Product Innovation Management, Industrial Marketing Management, British Journal of Management, Technovation and Journal of Intellectual Capital. He is also closely involved with business practice related to these topics through company-funded research projects, executive and professional education programs, and in speaker and advisory roles.

Key deadlines

Date first submission expected: September 12th 2016
Final deadline for submission: January 2nd 2017
Final deadline for acceptance: April 24th 2017

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