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During the authors’ practical experiments about designing hover controller for unmanned helicopter, they find pendulum motion exists, thus destroying their expected control performance, such as perfect tracking, target detection, accurate attacking etc., so they turn to study how to suppress pendulum motion through designing one additional controller to guarantee pendulum motion sufficiently small. More specifically, the detailed mechanism of hover pendulum motion is analyzed to yield one accurate nonlinear dynamical equation, corresponding to hover pendulum motion. To apply the existed linear optimal control strategy directly, the necessary linearization process is needed to derive one approximated linear state equation, including the explicit form of control input. After describing their idea about pendulum control structure from the point of practice, linear optimal control strategy is proposed to design the ideal controller without external noise. Then its improved robust controller is also given through solving their difference game problem or min-max problem. From their obtained closed forms of the pendulum controller, they are all one linear state feedback form, being convenient to implement in practical engineering. Finally, to achieve the mission of theory for application, they use their established practical platform to do some simulations, so proving the theoretical results. The purpose of this paper aims to design one optimal controller to suppress hover pendulum motion for unmanned helicopter.

First, considered the practical hover motion of unmanned helicopter, its detailed mechanism is analyzed to get one linear state equation after the authors’ complex mathematical derivation. Second, their idea of control structure and control design is applied to design one linear state feedback controller through the derived optimal control strategy. Third, one practical platform is established to prove their control idea.

From the authors’ introduction and knowledge, control exists everywhere. As unmanned helicopter has become increasingly important as one tactical weapon, so they think how to design controller for hover pendulum motion, while suppressing the hover pendulum. Specifically, they give the detailed theoretic derivation and practical platform.

To the best knowledge of the authors’ knowledge, pendulum motion control is to stop the swing as soon as possible and suppress the oscillatory motion of pendulum angle. Then, based on that linear state equation for hover pendulum motion, linear optimal control strategy is applied to achieve above two dual missions, i.e. controlling the motion or pendulum suspension point and eliminating or suppressing the pendulum phenomenon.

The commercial sharing service (CSS) represents an emerging business model in which users pay a minor fee to rent a product for a short period of time. Fashion CSSs enable individuals to rent various garments and accessories with the goal of enhancing one’s public image while saving money. Marketers have strived to popularize fashion CSSs, but concerns related to contamination have thwarted their efforts. Based on face consciousness theory, this research examines how consumers’ desire to enhance their public image (i.e. to “gain face”) can attenuate the negative impacts of contamination concerns and thus facilitate fashion CSS usage.

Two scenario-based studies were conducted to collect data. Participants were recruited via online survey platforms in mainland China. The hypotheses were tested by partial least squares (PLS) path modeling and linear regression analysis.

The analysis results revealed a two-stage mediation model. Contamination concerns were found to inhibit consumers’ participation in fashion-sharing by increasing their perceived risk, which further decreased the perceived value of the CSS. However, consumers’ desire to gain face can mitigate the negative (direct and indirect) effects of contamination concerns on CSS usage, facilitating CSS adoption.

Our findings suggest that eliciting consumers’ desire to gain face can promote fashion CSS usage and attenuate the negative impacts of contamination concerns. Moreover, consumers are less risk-averse and less concerned about shared pieces being contaminated when they seek to enhance their face through fashion products. Practical implications for fashion marketers are discussed.

While previous research has demonstrated the positive effects of digital business strategies on operational efficiency, financial performance and value creation, little is known about how such strategies influence innovation performance. To address the gap, this paper aims to investigate the impact of a firm’s digital business strategy on its innovation performance.

Drawing on the dynamic capability view, this study examines the mechanism through which a digital business strategy affects innovation performance. Data were collected from 215 firms in China and analyzed using multiple regression and structural equation modeling.

The empirical analysis reveals that a firm’s digital business strategy has positive impacts on both product and process innovation performance. These impacts are partially mediated by knowledge-based dynamic capability. Additionally, a firm’s digital business strategy interacts positively with its entrepreneurial orientation in facilitating knowledge-based dynamic capability. Moreover, market turbulence enhances the strength of this interaction effect. Therefore, entrepreneurial-oriented firms operating in turbulent markets can benefit more from digital business strategies to enhance their knowledge-based dynamic capabilities and consequently improve their innovation performance.

This study contributes to the understanding of how a firm’s digital business strategy interacts with entrepreneurial orientation in turbulent markets to shape knowledge-based dynamic capability, which in turn enhances the firm’s innovation performance.

The study examines how process/organizational innovation and R&D spending mediate the relationship between financial performance and the resource dependence theory in Fintech, providing insights into effective innovation strategies for achieving sustainable financial performance.

Data from 191 financial firms in Taiwan was collected from annual reports using the Taiwan Economic Journal (TEJ), a financial information provider. Content analysis was used to measure innovation activities and financial performance, with process and organizational innovation defined. R&D expenditures were also collected and used in statistical analysis to explore the relationship between variables.

This study on the financial services industry shows that process innovation and R&D expenditure positively impact firm performance, while organizational innovation may have a negative short-term effect but could have long-term benefits.

Limitations of this study include vulnerability to spurious effects and the use of data from only listed financial service firms. Future research should use more short-term performance data and include unlisted firms in the financial services industry to extend the study’s coverage.

This study extends resource dependence theory to financial services and explores the effects of process and organizational innovation on firm performance. Results show that internal process management boosts performance, while external collaboration with startups enhances Fintech innovation and efficiency, with positive short-term effects. The study highlights the importance of interacting with external organizations to access resources and improve performance in financial services.