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Article
Publication date: 27 July 2022

Murat Ayar, Alper Dalkiran, Utku Kale, András Nagy and Tahir Hikmet Karakoc

The use of unmanned aerial vehicles (UAVs) has significantly increased in the past decade and nowadays is being used for various purposes such as image processing, cargo…

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Abstract

Purpose

The use of unmanned aerial vehicles (UAVs) has significantly increased in the past decade and nowadays is being used for various purposes such as image processing, cargo transport, archaeology, agriculture, manufacturing, health care, surveillance and inspections. For this reason, using the appropriate image processing method for the intended use of UAVs increases the study’s success. This study aims to determine the most suitable one among the innovative methods that constitute the image processing system for a UAV to be used for surveillance purposes.

Design/methodology/approach

Analytical hierarchy process has been used in the solution of the decision problem to be handled in three stages, namely, platform, architecture and method. The most suitable alternative and the effect weights of these criteria results were determined at each stage.

Findings

As a result of this study, Jetson TX2 was determined as the most suitable embedded platform, ResNet is the optimum architecture and Faster R-convolutional neural networks was the best method in the image processing layer for a system that will provide surveillance with image processing method using UAV.

Practical implications

In UAV designs, where multiple hardware and software choices and system combinations exist, multi-criteria decision-making (MCDM) approaches can be used as a system decision mechanism.

Originality/value

The novelty of this work comes from the application of MCDM methods that are used as a multi-layered decision mechanism in UAV design.

Details

Aircraft Engineering and Aerospace Technology, vol. 95 no. 3
Type: Research Article
ISSN: 1748-8842

Keywords

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Article
Publication date: 28 April 2020

Mert Gürlek and Murat Çemberci

Drawing on knowledge-based theory, contingency theory of leadership, social learning theory and resource-based view, this study aims to investigate the relationships among…

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Abstract

Purpose

Drawing on knowledge-based theory, contingency theory of leadership, social learning theory and resource-based view, this study aims to investigate the relationships among knowledge-oriented leadership (KOL), knowledge management capacity (KMC), innovation performance (IP) and organizational performance (OP).

Design/methodology/approach

The relationships were examined using the serial mediation model of Hayes (2013). Data were collected from the firms (N = 502) operating in technology development zones in Turkey. The sample size corresponds to 10% of total number of the firms. Within the scope of a policy called National Technology Move by public authority, Turkey has been making strong investments to produce original and advanced technology products. A significant portion of these investments is directed toward technology development zones. Therefore, research on this topic may be of interest in Turkey. It should also be noted that Turkey is a developing country and is one of the world’s 20 largest economies.

Findings

The findings show that KMC and IP serially mediate the effect of KOL on OP. In the light of the findings, KOL establishes the eligible conditions for the improvement of KMC. Enhanced KMC transforms into innovation, and as a result, OP increases. As a result, this research shows that Turkish firms under the leadership of knowledge-oriented leaders have high KMC, innovation performance and firm performance. These findings can serve as a valuable benchmark for future studies in developing countries.

Research limitations/implications

The current research has several limitations. It was carried out on the firms operating in technology development zones in Turkey. Future researches can be conducted on the firms outside the technology development zones. Second, this research was carried out in Turkey. The study was conducted in a specific national context covering only Turkish firms. It is recommended that readers be cautious when generalizing the results to different contexts (e.g. other countries and industries). Future researches can be conducted on the firms located in technology development zones in different countries. This may allow the comparison of countries. Turkey is a developing country. For this reason, developing countries should be taken into consideration in the comparison between countries, not developed countries such as the USA and European countries. Third, this is a cross-sectional study. Therefore, it does not reveal the changes in research variables over time. Longitudinal data collection is recommended for future researches.

Practical implications

The research findings are turned into a slogan and the firms are recommended the following perspective: more innovation for strong performance; a strong KMC for innovation; and for all, a strong knowledge-oriented leadership.

Originality/value

KOL is a quite new research field. The current study makes a significant contribution to the literature by revealing the fact that KOL is effective in increasing OP. In addition, testing via the serial mediation model the relationships which put forward how KOL increases OP, this study sheds light on organizational outcomes of KOL. There is an important gap in the search for leadership characteristics that allow knowledge-intensive firms to improve their KMC, innovation and firm performance. Therefore, this research is an important step toward filling this gap.

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