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In explaining ethno-territorial conflicts, leadership preferences have an odd status. In case studies, leadership preferences are often viewed as highly significant causes but are not usually defined and measured explicitly. In large-sample statistical studies, leadership preferences are only captured by weakly related proxy variables. This paper aims to fill this gap by developing suitable theory, which can be used consistently in both case study and statistical applications.

Formal bargaining models are used to examine the expected impact of variation in leadership preferences. Relevant leadership characteristics are then used to construct measures of variation in leadership preferences, which are applied in case studies.

In bargaining models, variation in leadership preferences is expected to have a significant impact on ethno-territorial conflict outcomes. More extreme nationalist leaders and, more conditionally, strongly power-seeking leaders, should be more likely to be willing to use force to modify the status quo – although more moderate nationalist leaderships are also willing to do so under certain conditions. In five case studies, these formally derived hypotheses receive initial empirical support.

Theoretically and empirically, further refinement of research on variation in leadership preferences promises to add significant value. Formally, it is worth investigating the expected impact of additional preference types. Empirically, it is important to invest in measures of leadership preferences across large samples.

The textile sector is one of the sectors where competition is intense and requires the production of high-value-added products. This study aims to conduct patent analysis to find the technology status, recent trends, applications and technological evaluations of protective textile technologies in practice.

More than 36,840 patent documents related to protective textile technologies are available for researchers, patent examiners and patent researchers. Patent analysis is conducted to report the technology status, recent trends and applications of protective textile technologies. This analysis provides insights into the possible future directions of protective textile technologies in practice. Additionally, association rule mining (ARM) is performed to find the hidden patterns among protective textile technologies.

The development of protective textile technologies is revealed by the technology evaluation in this study. In addition, the sub-technology classes affecting protective textile technologies are examined using the cooperative patent classification (CPC) codes of the patent documents. Technology status and recent trends of protective textile technologies are provided in detail. The results of this study show that (1) protective textile technologies are constantly being developed, (2) the working areas of medical protective textiles are increasing, (3) there are frequent studies on fabric structures for saving lives within the framework of human needs and (4) there are four technology classes, namely A41D, Y10T, B32B and A62B impacting the other technology classes related to textile technologies such as D10B, Y10T, F41H, A62D, D04H, Y10S and D10B.

To have a competitive advantage in the marketplace, evaluation of textile technologies is critical in developing “functionalized” and “technologized” textile products. In particular, evaluating technologies in developing protective textile products is extremely important to meet customer demands and present competitive products in the market. Examining these patents for technology developers, decision-makers and policymakers is an urgent and necessary job. However, studies examining the development of protective textile technologies with patent analysis are very limited in the literature. To fill this gap, technology status, recent trends and applications of protective textile technologies are reported based on patent analysis and ARM in this study.