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PurposeThe purpose of this paper is to analyze the effect of affiliation network on creating innovative ideas and forming a technological position.Design/methodology/approachThe authors adopt the concept of an affiliated network and use the technique of social network analysis to investigate patent data from USPTO.FindingsFirst, the technological classification which captures the core position in the network is the most important technological trend. On the contrary, the technological classification which belongs to the position of periphery is less important for technological development. Second, the technological community with the highest degree, closeness and betweenness among other communities means that this technological community occupies broader technological scopes and with important influence with others.Practical implicationsThis paper demonstrates that affiliation network analysis can be a useful tool in determining the relationship between technology (patent) and R&D activity (technological classification). In the technological affiliation network, patents are related to one another because they occupy the same technological classification and technological classifications are related to one another because they share with patents. This connection has a clear advantage over a strategy of having R&D activities acts as bridges between distinct clusters of technologies.Originality/valueThis paper has briefly studied how affiliation network of technological communities and technological classifications relate to the R&D and technological development in environment. The authors' perspectives and empirical method can provide suggestions for making R&D decisions.

PurposeThe aim of this paper is to explore the benefit of forecasting emerging biomedical therapy technologies as well as the rate of diffusion of resultant biomedical products in the context of management of technology.Design/methodology/approachThe research method is exploratory using a case study approach. Techniques such as bibliometric analysis and the Bass diffusion model are utilized to assess the growth rate and market penetration of pulsed electromagnetic field therapy (PEMF) as a technology.FindingsThe penetration and growth rate of user acceptance of the technology in a global context are simulated across a 15‐year period. The technology forecasting model is also used in a case study to simulate the penetration of a product using ten years' medical application data of a patented pulsed electromagnetic field for biomedical therapy application in the global context. Useful correlation between bibliometric data for PEMF and real data for the case study is illustrated.Research limitations/implicationsThe research is limited to the case of PEMF data presented. Further research may be done on other PEMF technology applications.Practical implicationsAspects of a holistic management model that was developed for high technology companies are invoked in the practical realisation of the professional paradigm shift required when an emerging biomedical therapy technology is in the process of becoming mainstream.Originality/valueIt has been shown that technology diffusion traces exist for PEMF therapy technology as is evident from the bibliometric PEMF global data presented. Furthermore it is possible to simulate the PEMF therapy technology diffusion process with a Bass diffusion model incorporating innovation imitation and market size coefficients.

PurposeOnline services have replaced many services that were delivered through other avenues. However, adoption of them has varied significantly. This paper seeks to expand on technology adoption theories by integrating them with those exploring service innovation and attempts to explore factors that help or hinder the attitude towards using online services. Thus, the study aims to provide insight into attributes to which developers and designers of such services should pay attention.Design/methodology/approachThe study accomplishes the purpose stated above through testing a framework that was developed as a result of critical literature review, interviews, a brainstorming session, an expert focus group and a final large‐scale survey. A set of prototypes was developed as alternative interfaces for the online service.FindingsIn addition to finding that usefulness and ease of use are affecting the intention to use in the case of online services, the paper also identified that users were positively influenced by their acquaintances, commercials and related news about online ticket reservation positively. Self‐efficacy was also identified as a positive factor. However, a significant relationship between other elements of the user interface, such as task or user characteristics, could not be identified.Practical implicationsThere is an increased interest in better service design and development. In the case of online services, developing better user interfaces by different technologies is critical, because capabilities of user interface add a lot to the information technology (IT) adoption process. So putting emphasis on better marketing and user training would help the adoption of online services.Research limitations/implicationsThere were a number of hypotheses that were not supported in the paper. Further data collection may help to explore the role of user and service characteristics better.Originality/valueThe study integrates technology adoption and market research theories to assess service innovation.

PurposeIn this paper, an analysis is presented of the research funding towards nanotechnology at the National Nanotechnology Initiative (NNI) and its relationship to the research output in Nanoscope, an application area of nanotechnology.Design/methodology/approachThe paper analyzes the data collected from 1997 till 2006 and derives a definitive time lag between the allocation of research funds and issued patents and published journals. This assessment is achieved by identifying growth trends in patents, funds and publications and doing a curve‐fit analysis using the Fisher‐Pry model. Linear regression analysis is used to show the correlation between the funding and research outputs. Alongside, non‐linear programming objective function optimization technique is used to derive the time lag in years for each of the research outputs from the year of funds granted.FindingsThis paper demonstrated that there is a strong correlation between research funding and different research outputs. The time lag between funding and patents issued is evident from the patent trend analysis and Bibliometric analysis. In the case of Nanoscope, the patent time lag was found to be approximately five to six years, for journal article it was approximately two to three years and conference presentations happened right after the funding. The research outputs showed similar trends and were found to be interdependent as evident from our mathematical analysis.Research limitations/implicationsWhile this study has shown that lag times exist within the chosen example of Nanoscope, and furthermore can be calculated to a precise degree, further data points in terms of additional emerging technologies would support the hypothesis in a more general term. A future study can look at developing technology roadmaps of the future based on the funding happening today.Originality/valueThe work takes bibliometric analysis to a further intelligence and establishes key linkages between these indicators.

Roadmapping is a structured visual approach for supporting strategic technology and innovation management, providing strategic navigational support (hence the roadmap metaphor) for technologists, designers, entrepreneurs, programme managers, executives, policy makers, other stakeholders involved in the formulation and implementation of strategy. This book brings together the latest developments in roadmapping, covering a range of practical issues and conceptual aspects. First, the book delves into the critical topic of strategic alignment within organizations, encompassing the interdependencies and synchronization of horizontal and vertical systems, connecting innovation priorities to strategic objectives, and the integration of key performance indicators. Then, the book concentrates on practical techniques and tools for roadmapping, including a template-based approach for technology venture funding. Social and digital aspects of roadmapping are explored, including workshop methods, considering how quantitative (analysis) and qualitative (expert) knowledge can be combined for improved strategic planning. Finally, a series of new case studies focusing on energy systems in Sub-Saharan Africa and Turkey illustrate the practical application of technology roadmapping and also provide useful insights. Roadmapping continues to evolve, as it is adapted to apply to new domains and strategic challenges, propagates to new sectors, and as new digital technologies such as AI emerge that radically affect strategy and innovation processes. The need for structured and engaging approaches such as roadmapping for navigating towards the future is essential.