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

Autori
Daim, Tugrul ; Dabic, Marina ; Garces, Edwin

Izvornik
Journal of Knowledge Management (1367-3270) 25 (2021), 2; 269-274

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, uvodnik, znanstveni

Ključne riječi
Innovation Trajectories ; Cases ; Emerging Technological Innovations

Sažetak
Mapping Knowledge to Identify Future Innovation Trajectories: Cases in Emerging Technological Innovations Despite widespread academic literature on creativity, future innovation trajectories and knowledge management, these separate areas have rarely been examined together. Studies from different theoretical fields assess innovation and knowledge management as a dynamic process that is established over time. The assessment and evaluation of technologies is particularly critical for technology-driven organizations. Nowadays, this is even more important, as virtually no organizations are exempt from this challenge. Over the past decade, we have seen an exponential increase in studies seeking to develop methods and tools with which to address this challenge as organizations have heterogeneous innovative behaviors and drivers of apiece trajectory. Therefore, the exchange of knowledge is crucial to practical technological applications and implementations in the field of knowledge management. This special issue, titled “Mapping Knowledge to Identify Future Innovation Trajectories: Cases in Emerging Technological Innovations, ” aims to fill these gaps in scholarly literature, focusing on different kinds of knowledge management and identifying future innovation trajectories that may support the field’s development. This research establishes the links forged between knowledge management, innovation and technology and goes on to forecast technologies ; identify technologies, actors and opportunities ; visualize research fields and technological landscapes ; explain the dynamic interactions between different patterns ; and identify the flow of technology and the key elements of a successful technological roadmap. As a result of COVID-19, many companies have been forced to rapidly prioritize new systems and embrace new challenges, making swift decisions, improving employee efficiency and risking the continuity of their business. Prior research leveraged many different indicators to chart out the future innovation trajectories. We see some of these studies in the form of literature review (Fakhar Manesh et al., 2020 ; Dabic
et al., 2020a, 2020b ; Marzi et al., 2017 ; and Kiessling et al., 2020). Published papers have also been specifically used as intelligence units (Garces et al., 2017 ; Cho and Daim, 2016). Patents have been one of the most preferred intelligence unit in the literature (Pereira et al., 2019 ; Daim et al., 2020 ; Li et al., 2019 ; Lin et al., 2019 ; Madani et al., 2017, 2018 ; Daim et al., 2018 and Gibson et al., 2017). This special issue builds upon the prior research and expands it to explore the utilization of these methods in knowledge management.

Izvorni jezik
Engleski

Znanstvena područja
Interdisciplinarne tehničke znanosti, Ekonomija, Informacijske i komunikacijske znanosti

POVEZANOST RADA