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The authors examined whether stocks with higher left-tail risk measures earn higher or lower futures returns. Specifically, the authors estimate the cross-sectional principal component of a battery of left-tail risk measures and analyze future returns on stocks with high principal component values. In contrast to finance theories on the risk–return trade-off relationship, the study results show that high left-tail risk stocks have lower future returns. This finding is robust to various left-tail risk measures and controls for other risk factors. Moreover, the negative relationship between the left-tail risk and returns is more pronounced for stocks that are actively traded by retail investors. This empirical result is consistent with behavioral theory that when investors make decisions based on experience, they tend to underweight the likelihood of rare events.

This work aims to deal with a comprehensive review of design methods for aircraft directional stability and vertical tail sizing. The focus on aircraft directional stability is due to the significant discrepancies that classical semi-empirical methods, as USAF DATCOM and ESDU, provide for some configurations because they are based on NACA wind tunnel (WT) tests about models not representative of an actual transport airplane.

The authors performed viscous numerical simulations to calculate the aerodynamic interference among aircraft parts on hundreds configurations of a generic regional turboprop aircraft, providing useful results that have been collected in a new vertical tail preliminary design method, named VeDSC.

The reviewed methods have been applied on a regional turboprop aircraft. The VeDSC method shows the closest agreement with numerical results. A WT test campaign involving more than 180 configurations has validated the numerical approach.

The investigation has covered both the linear and the non-linear range of the aerodynamic coefficients, including the mutual aerodynamic interference between the fuselage and the vertical stabilizer. Also, a preliminary investigation about rudder effectiveness, related to aircraft directional control, is presented.

In the final part of the paper, critical issues in vertical tail design are reviewed, highlighting the significance of a good estimation of aircraft directional stability and control derivatives.

The purpose of this paper is to bridge together seemingly disparate yet interconnected paradigmatic antecedents of e-tailing and servicescape, i.e., product assortment, order fulfillment, shopping assistance and its consequences for shopping efficiency.

The proposed conceptual model is well grounded in the extensive literature from e-tailing as well as retailing domain and to assess the plausibility of the model. Total 246 female online apparel shoppers were surveyed from an Indian university and the data were analyzed using structural equation modeling through SmartPLS.

The outcomes of the study indicate that the e-customer may derive a substantial share of shopping assistance and service interface through product assortment offered by e-tailing sites. Customer-perceived performance of this e-shopping process – a crucial element of e-tail servicescape – directly affects the shopping assistance, along with order fulfillment capability of retail scope.

The study used a sample of graduate students at a north-west university in India, which limits the generalizability of the research to other consumer groups. The paper links a significant body of literature within a conceptually developed framework and identifies key research areas in the e-tailing realm.

By better understanding the role of product assortment as a value-added feature in online value co-creation process, the e-tail managers can leverage the proposed integrated capability to improve e-tailing performance and customer outcomes in the form of business.

With rapid advancements in internet-led communication, we are witnessing the dawn of a new era of e-tail innovations around us which is expected to change the way people experience shopping.

This research is an attempt to enrich the level of understanding about online shopping environment in light of relationships among virtual and physical facets of e-tail, i.e., product assortment, order fulfillment, shopping assistance and shopping efficiency. The authors investigate customer-perceived product assortment performance in e-tailing and its significances on shopping outcomes.

This paper aims to study the pricing strategies of an online trading platform with indirect network externalities by considering heterogeneous trading behavior in the downstream market and the long tail.

The game theory, optimization and comparative static are used in this research. The equilibria are derived from the game theory, and with them, the authors optimize the platform’s profit function. Comparative static is used to study pricing strategies.

It is found that with heterogeneous trading behavior, the transaction-based model is more profitable than the subscription-based model by reason of the feasibility of “price discrimination”. However, with certain advantages of subscription fees such as avoiding offline transactions, the subscription-based model is better with a concentrated distribution of sellers’ revenues (the Gini coefficient is small). With a lucrative long tail, the platform should set a low price to attract small sellers in the long tail. Besides, if the Gini coefficient is large, the effects of the market entry barrier of sellers on the optimal price in each model may be opposite.

It implies that the choice of revenue models and pricing strategies are influenced by the Gini coefficient or the long tail. The exogenous setting in which buyers can use the platform for free needs further extension.

The authors provide insights on how to choose revenue models and how to price the sellers with the long tail phenomenon.

This paper emphasizes the role of the long tail on pricing strategies and the effect of heterogeneous trading behavior on model selection.

Movement of people from one retail trade area to another in search of better options and deals has been studied across the world owing to its large impact on trade flow. Studies have been done in various rural and urban settings. However, almost all except one fails to provide a comprehensive model of outshopping which has its own limitations with regard to its applicability’s across cultures and in various settings. Nonetheless findings from the literature provides necessary inputs to start studies in various other cultures and settings. Results are presented in form of various definitions, various types, methodologies used, factors identified (individual characteristics, market characteristics, product related variables and accessibility factors) and patterns across continents. Attempts have also been made to explain their applicability to Indian conditions along with various limitations and gaps.

The authors propose focusing on e‐commerce service failure and recovery through the presentation of failure and recovery strategies employed by e‐commerce service firms.

The authors employ the critical incident technique using 377 customer responses to present ten e‐tail failures and 11 e‐tail recovery strategies used by e‐commerce service firms. The authors also present data on post‐recovery satisfaction levels and propensity to switch behavior.

Findings indicate that: e‐tail customers experience different types of service failure relative to traditional retail settings; e‐tail firms employ a different series of recovery strategies relative to traditional retail settings; and post‐recovery switching by e‐tail customers can be high even with satisfying experiences.

This paper strengthens the existing failure and recovery literature by presenting data on the largest growing sector of the service industry. These findings will have value to traditional firms looking to expand to e‐commerce channels in addition to e‐commerce firms currently experiencing customer dissatisfaction.

There is an increased interest in e-tailing research in the literature, along with the development of new technologies and e-tailing platforms based on consumer and industry perspective. The purpose of this paper is to examine the periodic changes within the content of e-tailing literature.

The data set of this study includes academic papers cited in the Web of Science, which was published between 2000 and 2017. In this context, a co-word analysis was conducted using SciMat software based on the keywords, including “online retailing,” “e-tailing,” “e-store,” “online store,” “e-tail” and “online retail,” found in the titles of published academic articles.

In this study, three different periods of the e-tailing study field were examined, major and emerging themes for each period were determined with a comparative bibliometric analysis. In this regard, consumer acceptance, choice and satisfaction were found as the major themes in the conceptualization of e-tailing research.

Understanding the transition from traditional marketing channels to online channels is an essential factor for retailers as well as consumers’ use and the acceptance of new technologies. This study contributes to the effective execution of the e-tailing systems.

This study aims to investigate the effects of mass and stiffness imbalance in a tail rotor induced by damage in forward flight.

An aeroelastic analysis based on finite element in space and time and capable of modeling dissimilar blades is carried out to study the effect of damage occurring in one, two, and three blades in a four‐bladed tail rotor system in forward flight. The effect of damage growth on vibratory hub loads and blade responses is studied using a comprehensive aeroelastic code.

The diagnostic chart which is the summary of damage analysis of tail rotor shows that the root hub vibration spectrum gives enough indication to predict damage growth in the tail rotor blade. Hence, this can be useful towards development of health monitoring system for tail rotor blades.

The proposed analysis helps in understanding the basic physics behind the damaged tail rotor and also gives qualitative assessment of damaged tail rotor where obtaining the flight test data with damaged tail rotor is difficult.

A key pre‐requisite of locational decision‐making in retailing is appropriate sources of data. These have become increasingly available from a number of internal and external sources in recent years. Coupled with concomitant decreases in the cost of technology, locational decision‐making can now, more than ever, be based on more than subjective practices alone. This paper aims to assess how the use of data varies across four named retail and service sectors, an area of research that has hitherto been neglected. A postal questionnaire was distributed to approximately 300 locational planning managers to ascertain the use of data in decision‐making. Analysis of variance (ANOVA) was used to examine how the use of 21 named datasets varied by sector. A number of significant differences in data usage and sharing emerged and are reported here. It is concluded that data use is by no means uniform across different retail and service types, and that future research that addresses inter‐sectoral differences in locational planning practices would be appropriate.

The purpose of this paper is to examine the influence of e-tail brand experience on e-brand trust and e-brand loyalty. The study also tests whether gender moderates this influence.

In all, 429 responses were collected using both offline and online survey methods. Confirmatory factor analysis and structural equation modelling techniques were performed to test the measurement and structural models using SPSS 20.0 and AMOS 20.0 statistical software.

Empirical results confirm the impact of e-tail brand experience on e-brand trust and e-brand loyalty. Gender was found to moderate the relationships. It was further found that e-tail brand experience developed almost same levels of e-brand trust in both males and females. However, males became more loyal to e-tail brands when they received positive e-tail brand experiences.

E-tail brand managers should focus on the design and delivery of unique e-tail brand experiences to develop e-brand trust and e-brand loyalty in customers. The direct influence of e-tail brand experience on e-brand loyalty was found to be weaker in females, which suggests that managers could take steps to specifically deliver experiences that please female customers which might result in increased e-brand loyalty of this segment.

Examining the phenomenon of brand experience in context of online retail while considering gender as moderator highlights the originality and contribution of the present study to existing retail and brand experience literature.