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The requirements imposed upon advanced short take‐off and vertical landing (ASTOVL) aircraft give rise to challenging demands on their propulsion systems. One possible approach is to have a high‐performance turbofan of traditional design and an additional, but separate, fan to provide a major part of the lift during the take‐off and landing manoeuvres. For such a design, there are several quite‐different choices of layout for providing the power to drive the remote fan by means of the core engine. These include shaft‐driven and bleed‐driven options. The choice will depend on the anatomy and required thermodynamic‐performance of the whole system. In this paper, several pertinent alternative engine‐designs are discussed. Four of these, based on a high‐performance low‐bypass‐ratio core engine, are studied in detail and their behaviours compared. Prima facie, the preferred choice is the engine with the shaft‐driven fan. A slightly less acceptable choice is the high‐pressure turbine exit‐bleed driven remote‐fan.

The purpose of this paper is to introduce parametered modeling technology for the civil aircraft engine fan blade, to design the fan blade rapidly and accurately.

The entire fan blade consists of three crucial parts: blade airfoil, tenon and airfoil root. Blade airfoil with a free surface feature is formed through the blade profiles from the hub to tip in the radial direction. The non‐uniform rational basis spline (NURBS) is utilized to describe the blade profile. The geometry model of fan blade tenon is generated by extruding the sketch of the tenon. And the fillet section is designed to achieve the smooth transition of the up surface and the bottom surface of the blade root. Furthermore, the fan blade of a typical commercial engine is redesigned by the above method.

The stress analysis of the fan blade shows that the fan blade model designed in this work is reasonable.

The parametered fan blade model is presented on the basics of feature‐based modeling technology.

The purpose of this paper is to show how flow over the airfoil comprising a cross flow fan has been solved by developing a computational fluid dynamics (CFD) code. This research was going to find aerodynamic coefficients and static pressure distribution over the airfoil surfaces. The eccentric vortex motion observed earlier by other researchers in cross flow fan has been studied by numerical method. Also, the airfoil trailing vortex size variation by free stream and fan rotational speed has been surveyed.

Flow over the airfoil has been investigated by CFD. At the airfoil solid walls no slip condition (zero velocity) was applied. Re‐normalization group k‐ε model was used for turbulence modeling. The pressure‐velocity coupling was calculated by the SIMPLEC algorithm. Second‐order upwind discretization was considered for the convection terms. Finite volume method with rectangular computational cells was used for whole the solution domain.

CFD predicted lift force was in good agreement with experimental data with the error of 8.26 percent, while the error of thrust prediction was 14.17 percent. Both errors are generally acceptable for an engineering application. Some key flow features observed previously by experiments has also been reproduced by simulation, notably motion of the eccentric and trailing vortices. At low‐fan rotational speed, the eccentric vortex formed below the shaft of the fan but at high‐rotational speed, eccentric vortex came up and moved toward the airfoil leading edge. It was shown that increasing free stream velocity or decreasing fan rotational speed leads to a larger trailing vortex and vice versa. It was showed that the airfoil lift and thrust are highly depended on the fan rotational speed. These forces will increase by enhancing the fan rotational speed.

Because of complicated geometry of the airfoil, 2D analysis of the flow over the airfoil has been carried out. This simplification leads to higher discrepancies between experimental data and numerical solution.

This paper provides a detailed study of the Fanwing airfoil. This airfoil is very new and researches in this area are very limited. So, this paper can be helpful for other researches involved in this topic as well as aerospace industries.

This paper is valuable for researchers in the new and up‐to‐date concept of the airfoil comprising a cross flow fan (Fanwing airfoil). This work is original.

Online brand communities (OBCs) and their role in determining consumer behavior is gathering interest of theorists and practitioners. This study examines the role of OBCs in influencing the level of involvement leading to perceived sport team brand equity (STBE) of sports fans from a social exchange theory perspective. The role of self-congruity as a moderator is examined to determine the differences in the level of involvement and attachment of fans in OBCs.

Based on quantitative research and convenience sampling, data for the study were collected from 394 football fans who were existing members of OBCs. The research model is tested using partial least square structural equation modeling.

The results show a direct and significant impact of brand involvement on brand attachment. Consumer brand engagement (CBE) mediates the relationship between brand attachment and STBE. While self-congruence does moderate the effects between brand involvement and brand attachment.

The study reveals the role of community related factors on sports fans’ perceived STBE. The study also provided a novel approach to examine sport fan behavior in social media through the lens of social exchange theory. Finally, it is providing a novel approach in examining role of OBCs in influencing behavior of sports team fans towards the team and brand.

This study aims to develop and validate an accurate machine learning model to categorize NBA fans into meaningful clusters based on their perceptions of sport sponsorship. Additionally, by predicting the intensity of NBA fans’ attitudes toward sponsors, the authors intend to identify the specific features that influence prediction, discuss these findings and offer implications for academics and practitioners in sport sponsorship.

This study used a sample of 1,142 NBA fans who were recruited through Amazon Mechanical Turk (MTurk). Fans identification, sponsorship fit, behavioral intentions, sponsor altruistic motive, sponsor normative motive, sponsor egoistic motive were surveyed as predictors, whereas fans’ attitudes toward sponsors was collected as the dependent variable. The LASSO regression, SVM, KNN, RF and XGboost were used to develop and validate the prediction model after verifying the measurement model by the Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

The RF model had the best accurate in predicting the intensity of fans’ attitudes toward sponsors, achieving an AUC of 0.919 with a sensitivity of 0.872, a specificity of 0.828, a PPV of 0.873, a NPV of 0.828 and an accuracy of 0.848. The most influential feature in the model was “the fit of 0.301”. “Fans’ perceptions of sponsor’s normative motive”, “behavioral intentions supporting sponsors”, “fans’ identification with their favorite team”, “fans’ perceptions of sponsor’s altruistic motive” and “fans’ perceptions of sponsor’s egoistic motive” were exhibited in descending order.

This study is the first in sport sponsorship to accurately classify the intensity of fans’ attitudes toward sponsors as either high or low using machine learning models, and to formulate how fans’ attitudes formed toward sponsors from their perceptions of sponsorship process.

This study aims to provide supplements to the research on digital human avatar (DHA) and suggestions for brands to use DHA appropriately to build brand fans effect.

On the basis of integrating Avatar theory and Stimulus-organism-response theory, this study obtains data from 733 Chinese respondents aged 18–25 and uses regression analysis and bootstrap analysis to verify the relationships among the variables: DHA characteristics (form realism, behavioral realism and brand alignment) as the independent variables, brand fans effect as the dependent variable, consumer positive emotion as the mediating variable and product type (experience vs search) as the moderating variable.

The results show that DHA characteristics positively influence brand fans effect and consumer positive emotion, consumer positive emotion positively influences brand fans effect and consumer positive emotion plays a mediating role. Meanwhile, for experience products, the impact of DHA’s form realism and behavioral realism on consumer positive emotion is higher than that of brand alignment; for search products, the impact of DHA’s brand alignment on consumer positive emotion is higher than that of form realism and behavioral realism.

This study enriches and expands the empirical research perspectives and conclusions in the DHA field, improves its research framework and provides suggestions for brands to appropriately use DHA to build brand fans effect.

Male celebrities are increasingly being chosen to endorse female cosmetic brands by marketing managers, yet this practice has not received sufficient scholarly attention. This study aims to explore the dynamics of male celebrities endorsing cosmetic brands.

The study employs the netnography approach to collect data from an online community.

The study contributes to the marketing literature by providing a conceptual framework of male celebrities endorsing cosmetic brands, highlighting the key attributes that contribute to the effectiveness of these endorsements, the evolution of relationships between fans, celebrities and brands, the features of this dynamic relationship and the influence of male celebrity endorsements on fans’ purchase decisions.

This research sheds light on an emerging trend in the marketing industry and provides valuable managerial insights for marketers seeking to effectively use male celebrity endorsements to promote female cosmetic brands.

The aim of this research was to investigate fans’ responses toward a sponsor that has had a long-standing sponsorship deal with a club and decided also to sponsor the club’s rival.

A long-term sponsorship deal between a retsina wine company and a popular football club and a newly established deal between the company and the main rival club were selected as the research setting. Data were collected from a total sample of 302 participants, fans of the two teams, using an online survey and PLS-SEM was employed to test the relationships of the proposed structural model.

The results provided evidence for the importance of the inclusion of perceptions of fit for both teams to the model as it impacted the responses in the joint sponsorship. Team identification emerged significant for improving fans perceptions of fit between the sponsor and their favorite club but also led fans of the long-term sponsored club to feel betrayed from the sponsor. The sense of betrayal impacted the level of fit, the rejection of sponsorship but did not emerge significant for driving negative responses toward the sponsor’s brand. The same held for the rejection of the joint sponsorship.

This is the very first study that incorporated the effects of the perceptions of fit of two rival clubs to test the effect of sponsorship for a sponsor brand of a deal that includes a longtime sponsored football club and its rival as a newly sponsored one. It is also one of the first attempts that explores relationships between perceptions of fit, sense of betrayal and rejection of a joint sport sponsorship in a rivalry context, highlighting the importance of preventing fans' betrayal.

This study aims to explore the impact of athlete brand image on fans’ social media engagement, purchase intentions, and also examines the mediating role of emotional attachment on these relationships, as well as the moderating role of perceived price value between emotional attachment and purchase intentions.

The data are based on an online survey conducted in China (N = 572). The PLS-SEM (partial least squares structural equation model) and regression-based estimation method (PROCESS) are employed to test the hypotheses.

The results indicate a positive relationship between athletes’ athletic performance and fans’ social media engagement as well as purchase intentions. The impact of athletes’ attractive appearance and marketable lifestyle on fans’ purchase intentions is sequentially mediated by emotional attachment and social media engagement. Moreover, the mediation effect of athletes’ off-field image and purchase intentions is contingent upon fans’ perceived price value.

Athletes and marketers could integrate and leverage both the on-field and off-field attributes to cultivate emotional connections with fans. Sports organizations and managers need to pay attention to fans’ social media engagement and provide content that increases engagement and converts into transactional behavioural intentions.

The study provides empirical evidence of the mediating role of emotional attachment between athlete brand image and fans’ purchase intentions. The explanatory mechanisms involving emotional attachment and social media engagement (non-transactional behavioural intentions) are anticipated to be a noteworthy addition to the traditional fan transactional behavioural intentions framework. Moreover, the research introduces and confirms perceived price value as a crucial moderating factor influencing the relationship between emotional attachment and purchase intentions.

In the highly competitive professional sports industry, managers of a newly established competition face many challenges, including “converting” or gaining the allegiance of new groups of consumers (fans, spectators) to their colors. One critical aspect in the converting process relates to the “ideal” game-day experience as perceived by would-be consumers. Gaining knowledge about this area could be critical to professional sport marketers in enhancing the perceived quality of sport events. This study examines the ideal football experience among 1,412 fans of an Australian A-League football (soccer) club. The importance of a lively atmosphere, that of high turnouts of spectators and the opportunity to watch quality and attacking football are highlighted in most comments, even relegating the game’s final score (winning) to a more marginal level of importance. Some of the implications of the findings for professional football marketers and avenues for future research are presented and discussed.