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Unlike conventional aircraft, birds can glide without a vertical tail. The purpose of this paper is to analyse the influence of dihedral angle spanwise distribution on lateral-directional dynamic stability by the simulation, calculation in the development of the bird-inspired aircraft and the flight testing.

The gliding magnificent frigatebird (Fregata magnificens) was selected as the study object. The geometric and mass model of the study object were developed. Stability derivatives and moments of inertia were obtained. The lateral-directional stability was assessed under different spanwise distributions of dihedral angle. A bird-inspired aircraft was developed, and a flight test was carried out to verify the analysed results.

The results show that spanwise distribution changing of dihedral angle has influence on the lateral-directional mode stability. All of the analysed configurations have convergent Dutch roll mode and rolling mode. The key role of dihedral angle changing is to achieve a convergent spiral mode. Flight test results show that the bird-inspired aircraft has a well-convergent Dutch roll mode.

The theory that birds can achieve its lateral-directional stability by changing its dihedral angle spanwise distribution may explain the stability mechanism of gliding birds.

This paper helps to improve the understanding of bird gliding stability mechanism and provides bio-inspired solutions in aircraft designing.

To unlock social media’s value, this study aims to integrate insights from several theoretical perspectives and the relevant literature, developing an extended social media analytics framework. It identifies the stages underlying the social media analytics process and tests the framework in three important and interconnected areas: social media (Twitter), new product adoption (iWatch and Google Glass) and social media analytic techniques (text mining and sentiment analysis).

Based upon a systematic review of different research approaches, theories and media types, this paper presents and tests an extended framework in three important and interconnected areas mentioned above.

This paper offers a theory-driven social media analytics framework. It validates the framework by providing concrete processes, examples, evidence and insights related to three chosen areas mentioned above, thereby helping managers create effective and efficient social media and new product development strategies.

This paper integrates insights from theories of the middle range (Merton, 1949), Campbell’s (1965) model of sociocultural evolution and Fan and Gordon’s (2014) social media analytics framework, developing its own extended social media analytics framework and validating it in three important and interconnected areas mentioned above. This paper demonstrates not only how the proposed framework can be applied to the context of new product development, but also how social media are transforming research approaches (qualitative, quantitative and mixed method) and the very nature of business itself (increased importance of digital business).

This study aims to provide a practical strategy for customer service and salesforce from the basis of behavioral economics. When customers thought they missed a discount but eventually could get the deal, they perceived that they had obtained more value. This research defines such a conversion effect between gain and loss accounts, demonstrates its impact in marketing settings and provides the salesforce a tactic to increase sales and quality of customer service to improve the consumer experience in the social customer journey.

Three experiments were conducted in a behavioral lab and online setting. Participants were randomly assigned to 2 (gain vs loss) × 2 (converted vs simple) between-subjects designs in the first two experiments and 2 (gain vs loss) × 2 (converted vs simple) × 2 (high price vs low price) in the third experiment. Analysis of variance was conducted to analyze the data. Mediation and moderation analyses were also conducted to identify the mediator and moderator in the model.

The conversion between gain and loss mental accounts exists, and the converted gains are more likely to lead consumers to make purchases with a once-lost discount than simple gains. This conversion effect is mediated by consumers’ implemental mindset activated by the conversion and moderated by price.

This research shows that mental accounts of gains and losses can be dynamically converted to one another. It provides a managerial tactic for salesforces and customer service to lead consumers to make a purchase decision right away. This is especially important when they aim to enhance the consumer experience in the social customer journey.

This paper aims to examine how a stereotype threat, which entails being aware of a negative stereotype about one’s social group (e.g. gender), affects consumers’ price perceptions.

The authors conducted four studies to examine the effect of a stereotype threat on consumers’ perceptions of a product’s price–quality relationship.

This study found that being aware of a negative stereotype about one’s social group (i.e. gender here) led consumers to use price more as a quality indicator. This study also determined that reappraisal – an alternative way of coping with stereotype threats – reduced the impact of a stereotype threat and, subsequently, decreased reliance on price to infer quality.

This research contributes to the consumer decision-making literature by examining stereotype threat effect in in-store product purchasing contexts; provides theoretical contributions to the processing of price information by exploring the role of a stereotype threat in price perceptions and revealing that impairment of consumers’ working memory resources affects price perceptions; adds to the existing stereotype threat literature by investigating the effect of a stereotype threat on systematic versus heuristic information processing; and advances the stress and coping literature by suggesting that consumers adopting a reappraisal strategy cope better with a stereotype threat than when opting for a suppression strategy.

This research provides important implications for consumers. For example, the findings suggest that consumers who would like to avoid paying more for stereotype-associated products may adopt reappraisal to cope with a stereotype threat. Reappraisal may allow consumers to use fewer cognitive resources when coping with stereotype threats, thus minimizing the possibility that they might overpay for high-priced products.

This research uniquely examines the effect of a stereotype threat on consumers’ price perceptions and the role of reappraisal in this effect.

The purpose of this paper is to propose an identification method of acquiring aircraft mode characteristics based on fast Fourier transform and half-power bandwidth method, aiming at the common oscillation met in flight test.

The feasibility of this method is demonstrated through derivation; the robustness analysis is conducted through three examples, and finally the method was applied on a set of sideslip angle record from flight test.

The derivation and numerical analysis both show that the presented method can have high accuracy and good robustness under coupled mode and noise condition.

The method proposed is of robustness, and it is concise and easy to apply on flight data record.

This paper demonstrates the feasibility of half power bandwidth to be applied on oscillation mode characteristics identification from flight data record, which is different from other method applied.

The typical approach of modeling the aerodynamics of an aircraft is to develop a complete database through testing or computational fluid dynamics (CFD). The database will be huge if it has a reasonable resolution and requires an unacceptable CFD effort during the conceptional design. Therefore, this paper aims to reduce the computing effort required via establishing a general aerodynamic model that needs minor parameters.

The model structure was a preconfigured polynomial model, and the parameters were estimated with a recursive method to further reduce the calculation effort. To uniformly disperse the sample points through each step, a unique recursive sampling method based on a Voronoi diagram was presented. In addition, a multivariate orthogonal function approach was used.

A case study of a flying wing aircraft demonstrated that generating a model with acceptable precision (0.01 absolute error or 5% relative error) costs only 1/54 of the cost of creating a database. A series of six degrees of freedom flight simulations shows that the model’s prediction was accurate.

This method proposed a new way to simplify the model and recursive sampling. It is a low-cost way of obtaining high-fidelity models during primary design, allowing for more precise flight dynamics analysis.

The purpose of this study was to analyze the interest conflicts and strategy evolution process of various stakeholders in the process of homestead withdrawal, to reveal which key factors can balance the interests of all parties.

The authors developed an evolutionary game theoretical framework for homestead withdrawal in Yujiang District, Jiangxi Province, China. The authors compared the dynamic process of strategy change in different situations based on system dynamics.

Compared with indirect external factors, direct economic factors, such as increasing compensation standards or increasing fines, are more likely to encourage peasants to withdraw from their homesteads. The dynamic subsidy strategy can increase the probability of peasants withdrawing from their homestead. Additionally, awarding officials with promotions can effectively encourage local governments during the process.

Previous studies have conceptualized farmers' willingness to withdraw from their homestead as a static process, ignoring the underlying dynamism. This paper analyzes the game mechanism among the stakeholders of the homestead withdrawal process from a dynamic perspective, to provide efficient suggestions regarding policymaking for homestead withdrawal.

Knowledge sharing (KS) and innovation are generally believed as the antecedents of key outcomes that help firms to attain and sustain competitive advantage in long term. The purpose of this paper is to analyze the mechanism of how interpersonal trust and leader support affect KS and improve firm’s innovation capabilities.

This is a research paper which is built using empirical data collected from 68 manufacturing and service firms in China.

First, the findings show that leader supports moderate the correlation between interpersonal trust and KS. Second, KS serves as mediator in the relationship between interpersonal trust and firm’s innovation capabilities.

KS plays a crucial role in stimulating innovation capabilities for both manufacturing and service firms. Future research should explore the effects of the motivational factors (such as positive psychological state, perceived benefits and costs) on KS and firm’s innovation capabilities.

The paper provides the evidence for the positive effects of interpersonal trust on KS, which in turn is significantly associated with product innovation and process innovation. It highlights the important role of leader supports in promoting the degree of sharing knowledge among individuals to enhance innovation capabilities for firms.

This study puts the theory of innovation forward based on exploring the key factors that have potential and positive impacts on two specific types of innovation capability, namely, product innovation and process innovation, for both manufacturing and service firms.

This study analyzes the impact of changes in bank capital on liquidity creation. More specifically, it tests “financial fragility – crowding out” and “risk absorption” hypotheses for Indian banks.

It uses the data of 136 listed and unlisted banks, ranging from the year 2000 to 2014. The analysis is based on panel data techniques.

There is negative relationship between narrow measure of bank liquidity creation and capital. Therefore, in the case of India, “financial fragility – crowding out” hypothesis holds for “cat nonfat” measure of liquidity creation. However, there is no relationship between “cat fat” measure of liquidity creation and capital, except for listed banks, and the banks in the pre-crisis period. In these two cases, “risk absorption” hypothesis holds. Furthermore, none of the hypotheses holds in the post-crisis period.

The higher capital requirements posed by the Basel III will result in lower on-balance-sheet liquidity creation, which may result in lower profitability for the banks. However, increase in capital does not affect off-balance-sheet liquidity creation, rather enhances it in case of listed banks. So, the managers may use risky off-balance-sheet liquidity creation to improve profitability. Therefore, the regulators must be vigilant to the off-balance-sheet activities of banks to avoid banking turmoil.

To the best of authors’ knowledge, this is the first study to explore which hypothesis regarding the relationship between bank capital and liquidity creation holds for Indian banks. It contributes to the existing literature by providing the empirical evidence that “financial fragility – crowding out” hypothesis holds for on-balance-sheet liquidity creation and “risk absorption” hypothesis holds for listed banks. It also points to the new direction that neither of the hypotheses holds in the post-crisis period in India.

With the rapid growth of the gig economy worldwide, gig workers’ perceived algorithmic control has been proven to have a crucial impact on the service performance, well-being and mental health of gig workers. However, the literature suggests that gig workers’ perceived algorithmic control may be a double-edged sword. The purpose of this research is to explore how the perceived algorithmic control of gig workers can accelerate thriving at work.

Based on the model of proactive motivation and work design literature, a three-wave survey was employed, yielding 281 completed responses. The structural equation modeling method was used to test the theoretical hypothesis.

The results indicate that gig workers’ perceived algorithmic control has positive and indirect effects on thriving at work through the mediating role of job crafting. In addition, job autonomy can moderate the mediated relationship; specifically, when job autonomy is high, this mediated relationship will be stronger.

The health and well-being of gig workers is a concern around the world. The findings provide insights for service platform enterprises and gig workers.

Perceived algorithmic control is critical to mental health and positive work experiences during a gig worker’s service process. However, the current literature focuses more on the negative aspects of algorithmic control. This paper provides a comprehensive research agenda for how to accelerate thriving at work for gig workers.