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Mapping Knowledge to Identify Future Innovation Trajectories: Cases in Emerging Technological Innovations

Special issue call for papers from Journal of Knowledge Management

Guest Editors

Prof. Tugrul Daim, Professor and Director of the Technology Management Doctoral Program, Portland State University
Prof. Marina Dabic, Professor at University of Zagreb , Facultry of Economics and Business , Croatia & Nottingham Trent University, the United Kingdom
Dr. Edwin Garces, Research Associate, Portland State University

Supervising Editor: Prof. Antonio Messeni Petruzzelli, Professor in Innovation Management, Polytechnic University of Bari (Politecnico di Bari), Italy

Despite the extensive literature on creativity, future innovation trajectories and knowledge management, those areas have seldom been examined together. Evaluation of technologies is extremely critical for technology driven organizations. This has become even more critical today as there is almost no organization which is immune to this challenge. We have seen an exponential increase in research developing methods and tools to address this challenge in the recent decade but still exchange of knowledge is crucial for practical technological application and implementation in the knowledge management field. The research in this area have been usually grouped under the following headings: a) roadmapping (this research stream provides tools and methods as well as cases in roadmapping technologies to help organizations to reach their goals and stay competitive. Recent research includes applications in aerospace (Sourav, Daim and Herstatt, 2018), power (Khanam and Daim, 2017; Daim et al., 2018); cattle farming (Gallegos Rivero and Daim, 2017); transportation (Cresto Aleina et al., 2018) and healthcare (Gastaldi et al., 2018). Very little has been said in the managerial literature about the relationship and the influence of knowledge management practices and tools on technological roadmapping; b) scientometrics (this research stream has used metrics such as scholarly articles and patents to map out technology or research trajectories in areas including energy efficiency (Garces et al., 2017), innovation (Marzi et al., 2017), transportation (Gibson et al., 2017), buildings (Madani, Daim and Weng, 2017), knowledge transfer through expatriates (Dabic, González-Loureiro and Harvey, 2015; Gonzalez-Loureiro, Kiessling and Dabic, 2015; Vlajčić et al., 2018), supply chain management (Gonzalez-Loureiro, Dabic and Kiessling, 2015); human resource management (González-Loureiro, Dabic and Puig, 2014), wind power (Huenteler et al., 2016); energy storage (Mueller, Sandner and Welpe, 2015), technology convergence (Choi, Jeong and Kim, 2015) and photovoltaic cells (Leydesdorff et al., 2015). Very few scientometric studies and researches have paid attention, for instance, on the relationship between knowledge sharing and transfer and innovation trajectories.

Finally, while we see a plethora of research published in several journals and conferences, we do not see a good framework putting them into perspective such as knowledge codification, matching methods with objectives, methods and data sources. To fill these gaps in the literature, the present call for papers focuses on what kinds of creativity characteristics and related future innovation trajectories are important in forming knowledge management formal strategies and tools. The objectives of this kind of research include the vibrant connection of knowledge management, innovation and technology, forecasting technologies; identifying technologies, actors and opportunities; visualizing the research and technology landscape; identifying the technology flows and key elements of a successful technology roadmap.

Topics for the Special Issue

Both conceptual and empirical submissions are invited to explore this unexplored area which matches knowledge management formal strategies with the technological forecasting of innovation trajectories from various theoretical and practical lenses, examine its complexity and the methodologies suited to analyze this phenomenon in worldwide arenas.

The contributions may address, but are not limited to, the following research topics:

  • Knowledge Management (KM) practices and tools for forecasting technologies
  • Knowledge Management Systems (KMS) for identifying technologies, actors and opportunities
  • Visualizing the technology landscape of the firm: role of knowledge sharing and transfer
  • Technology as cradle and foundation of knowledge and innovation
  • The impact of new technology and industry 4.0 on KM practices
  • Interchanges of KM and technological boundaries by using various methods and data sources
  • Research Translation and Applied Knowledge Exchange in Practice


  • Submission deadline: September 30, 2019
  • Decisions: January 31, 2020
  • Publication: expected from mid/end 2020

Submissions should be accompanied by an assurance of originality and exclusivity and should adhere to the ‘Style and Format’ author guidelines that can be found on the journal’s website at:

All submissions are through the online submission system ScholarOne. Full submission details are in the author guidelines. Please ensure you submit to this special issue using the drop down menu on ScholarOne. All submissions will be subject to a rigorous double-blind peer review process, with one or more of the guest editors acting as action editor. As a JKM publishing rule, every paper submitted to the Special Issue is firstly screened and validated by the Editor-in-Chief or by the Supervising Editor for compliance with the Special Issue topics and with the general aims and scope of the JKM. Unsuitable submitted papers will be rejected prior to be assigned to the Guest Editors. Every paper accepted by the Guest Editor should anyway be finally approved for publication by the Editor-in-Chief.

For further information, please contact any of the guest editors for this special issue:

Tugrul Daim:

Marina Dabic:

Edwin Garces:


Choi, J. Y., Jeong, S. and Kim, K. (2015) ‘A study on diffusion pattern of technology convergence: Patent analysis for Korea’, Sustainability (Switzerland), 7(9), pp. 11546–11569. doi: 10.3390/su70911546.

Dabic, M., González-Loureiro, M. and Harvey, M. (2015) ‘Evolving research on expatriates: What is “known” after four decades (1970–2012)’, International Journal of Human Resource Management, 26(3), pp. 316–337. doi: 10.1080/09585192.2013.845238.

Del Giudice, M., Della Peruta, M. R., & Maggioni, V. (2015). A model for the diffusion of knowledge sharing technologies inside private transport companies. Journal of Knowledge Management, 19(3), 611-625.

Gallegos Rivero, A. R. and Daim, T. (2017) ‘Technology roadmap: Cattle farming sustainability in Germany’, Journal of Cleaner Production, 142(4), pp. 4310–4326. doi: 10.1016/j.jclepro.2016.11.176.

Gonzalez-Loureiro, M., Dabic, M. and Kiessling, T. (2015) ‘Supply chain management as the key to a firm’s strategy in the global marketplace’, International Journal of Physical Distribution & Logistics Management, 45(1/2), pp. 159–181. doi: 10.1108/IJPDLM-05-2013-0124.

Gonzalez-Loureiro, M., Kiessling, T. and Dabic, M. (2015) ‘Acculturation and overseas assignments: A review and research agenda’, International Journal of Intercultural Relations, 49, pp. 239–250.

Landaeta Olivo, J. F., García Guzmán, J., Colomo-Palacios, R., & Stantchev, V. (2016). IT innovation strategy: managing the implementation communication and its generated knowledge through the use of an ICT tool. Journal of Knowledge Management, 20(3), 512-533.

Lee, V. H., Leong, L. Y., Hew, T. S., & Ooi, K. B. (2013). Knowledge management: a key determinant in advancing technological innovation?. Journal of Knowledge Management, 17(6), 848-872.   

Madani, F., Daim, T. and Weng, C. (2017) ‘“Smart building” technology network analysis: applying core–periphery structure analysis’, International Journal of Management Science and Engineering Management, 12(1), pp. 1–11. doi: 10.1080/17509653.2015.1100525.

Malhotra, Y. (2005). Integrating knowledge management technologies in organizational business processes: getting real time enterprises to deliver real business performance. Journal of knowledge management, 9(1), 7-28.

Mueller, S. C., Sandner, P. G. and Welpe, I. M. (2015) ‘Monitoring innovation in electrochemical energy storage technologies: A patent-based approach’, Applied Energy. Elsevier, 137, pp. 537–544. doi: 10.1016/J.APENERGY.2014.06.082.

Sourav, K., Daim, T. and Herstatt, C. (2018) ‘Technology Roadmap for the Single-Aisle Program of a Major Aircraft Industry Company’, IEEE Engineering Management Review, 46(2), pp. 103–120. doi: 10.1109/EMR.2018.2826007.