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Technologies are constantly developed to address new demands and provide further opportunities. Owing to a number of potential application areas of nanotechnologies within this sector, the purpose of this study is to take defense as a case and propose a strategic roadmap for the use of nanotechnologies in the Turkish Defense Industry.

The study presented in this paper uses a bibliometric analysis of the most cited publications in the past decade with the aim of identifying the trends in the development of nanotechnology. Interviews were carried out with experts based on the featured words of bibliometric analysis (nanoparticles, nanostructure, self-assembly, drug delivery, graphene, etc.) to reveal the commercialization time of nanotechnology products and applications. After that, a survey was carried out with engineers for determining the possible emergence time of nanotechnology applications and/or products used in military up to year 2035. Finally, a roadmap was created based on the obtained data from bibliometric analysis, interviews and survey results.

Nanotechnology roadmap was prepared, one which would contribute to the preparation of the defense industry for the future and help in keeping up with technological developments.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further. Interviews and surveys have limitation with the bounded rationality of corresponders.

The paper proposed a nanotechnology roadmap for the defense sector with a data-led foresight practice.

Performing such a study is considered to be crucial for the armies of developed and developing countries, so that the military sector also avails benefits from this revolutionary technology. Quantitative and qualitative methods were mixed for developing the roadmap.

The purpose of this paper is to provide information about the long-term ex-post impacts of Vision 2023 technology foresight (TF) on the defense sector and to identify critical success factors (CSFs) of impactful foresight.

In the present research, a theory-based evaluation approach was adopted with the logic-model of defense TF to identify the intended outcomes, impacts and leading mechanisms. The impact assessment framework developed by Johnston, R. (2012) was adopted to identify (un)intended impacts and possible measures.

TF had some effects on technological developments, foresight capacity and capability and skills on the sector. The overall impact was assessed at the “some contribution” level with 2.9 out of 5.0 points. It contributed to the development of science technology and innovation (STI) policies and research and development programs, awareness-raising in STI, increase in cooperation between government-university-industry and the development of foresight culture. However, the impacts were more visible in the early years of TF. Additionally, country/sector-specific CSFs were identified. In consequence, it was proposed to measure the maturity of strategic technologies with technology readiness level as a tangible indicator.

According to the authors, this is the first study to assess the long-term ex-post impact of TF in defense. An instrument was developed to assess TF’s contribution to impact measures. The constructs and weights of the instrument differentiated from the adopted framework/schema reflecting the national/sectoral context of TF. Additionally, the study revealed country/sector-specific CSFs and new tangible impact measures.

In this study, it is aimed to correctly weigh the criteria for the selection of qualified manager in a healthcare facility and to make the right selection among candidates with an objective method. In this study, in which the health manager selection was carried out with fuzzy Analytical Hierarchy Process (AHP) and MULTIMOORA methods, 8 candidates were evaluated according to 12 personnel selection criteria. Comparative matrices of qualified health manager selection criteria were presented to the expert opinion and analyzed with the fuzzy AHP method. According to the analysis result, among the 12 criteria; The “Crisis Management Skill” criterion is in the first place with 12.5% weight; The “Social Responsibility Awareness” criterion was found to be in the last place with 3.2% weight. The MULTIMOORA method was applied by analyzing the interview scores and criterion weightings of the candidates evaluated by the jury. According to the results of MULTIMOORA, Candidate 1 first place and Candidate 6 ranked last.