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In this paper, the authors aim to propose that status differentiation, the extent to which people differentiate their behaviors or attribute power to others according to perceived status differences, moderates the effect of stretch direction upward or downward and brand image prestige or functional on consumers 2019 responses to line extensions.

This study was a 2 (culture: Chinese vs American) × 2 (stretch direction: up vs down) × 2 (brand image: prestige vs functional) experiment design. Study 2 was a 2 (status differentiation: high vs low) × 2 (stretch direction: up vs down) × 2 (brand image: prestige vs functional) experiment design.

The results of two studies show that high status differentiation has a positive prestige-enhancement effect on an upward extension but a detrimental effect on a downward extension. This effect is more pronounced for prestige brands than for functional brands. In addition, the authors have found similar patterns for the prestige perceptions of the parent brands after extension.

This research makes important contributions to the fields of cross-cultural psychology. The status differentiation beliefs could be primed temporarily and had a significant impact on individuals’ responses to line extension.

The research identifies status differentiation as an important factor for marketers to consider when extending their brands to global markets.

Past research on vertical extensions has examined numerous factors influencing consumers’ responses. This paper is the only one to examine culture factor.

The purpose of this paper is to investigate how and when used by employees influences witnessing customers’ willingness to spread positive word of mouth (WOM).

This research used a qualitative method to develop a typology of necessary evil using two pilot studies and an experimental study to test the theoretical model.

The results show that the necessary evil used by employees to manage dysfunctional customers positively influences witnessing customers’ perceptions of distributive, procedural and interactional justice and their subsequent deontic justice perceptions, resulting in their willingness to spread positive WOM. Moreover, the positive influence of necessary evil on witnessing customers’ responses is strengthened when dysfunctional customer behavior (DCB) targets another customer as opposed to an employee.

This research offers service providers a better understanding of how to manage DCBs.

This paper contributes to the existing literature by introducing necessary evil to the service literature, proposing a new typology of employee response strategies to DCB based on necessary evil and examining how necessary evil drives positive customer responses. Additionally, it is among the first to examine the relationship between deontic justice and traditional justice mechanisms.

The purpose of this paper is to investigate the development process of the fire whirl in the fixed-frame facility and focus on the impacts of the fire whirl’s vortex core on the formation and flame structure of the fire whirl.

The complex turbulent reacting flame surface is captured by the large eddy simulation turbulence closure coupled with two sub-grid scale (SGS) kinetic schemes (i.e. the chemistry equilibrium and steady diffusion flamelet). Numerical predictions are validated thoroughly against the measurements by Lei et al. (2015) with excellent agreements. A double maximum tangential velocity refinement approach is proposed to quantify the vortex cores’ instantaneous location and region, addressing the missing definition in other studies.

The numerical results show that the transition process of the fire whirl is dominated by the vortex core movement, which is related to the centripetal force. The unsteadiness of the fully developed fire whirl was found depending on the instantaneous fluctuation of heat release rate. The steady diffusion flamelet scheme is essential to capture the instantaneous fluctuation. Furthermore, the axial velocity inside the vortex core is the key to determining the state of fire whirl.

Due to intensive interactions between buoyant fires and ambient rotating flow, the on-set and formation of fire whirl still remain largely elusive. This paper focused on the transition process of fire whirl between different development stages. This paper provides insights into the transition process from the inclined flame to the fire whirls based on the centripetal force.

This paper presented and compared two SGS kinetic schemes to resolve the fire whirl development process and the unsteadiness of its vortical structures. The modelling framework addresses the shortcoming of previous numerical studies where RANS turbulence closure and simplified combustion kinetics was adopted. Numerical results also revealed the fire whirl transition process and its relationship to centripetal force.

Although humanoid robots are increasingly adopted in many business settings, the dynamic effects of anthropomorphism and the functional perceptions of service robots on consumers’ responses remain unclear. This paper aims to examine the impacts of robot anthropomorphism on consumers’ trust, receptivity and the downstream effect on satisfaction. Furthermore, it examines the mediating effects of perceived ease of use (PEOU) and perceived usefulness (PU) in the relationship between anthropomorphism and consumer responses.

After conducting two separate pilot studies to help design the research materials, this research involves three sequential studies. In studies 1A and 1B, the authors used two distinct humanoid robots (i.e. Connie and Pepper) to test the direct effects of anthropomorphism on trust and receptivity and the mediated effects via PEOU and PU. Study 2 conducted a 2 (robot appearance: machine-like vs. human-like) × 2 (task complexity: low vs. high) between-subjects experimental design to further explore the boundary effects of task complexity on trust and customer satisfaction.

This research theorizes and empirically examines the mediating effects of PEOU and PU in the relationship between anthropomorphism and consumers’ responses (i.e. trust and receptivity) to service robots. Results also demonstrate a moderating role of task complexity, whereby only when the task was complex did anthropomorphism affect consumer responses and customer satisfaction. The parallel mediations of PEOU and PU were also confirmed. However, when task complexity was low, the authors observed no differences between human- and machine-like robots.

First, this research used a scenario-based method by exposing participants to different pictures or videos of service robots and measuring individuals’ responses. Consumers may respond differently upon interacting with robots in actual service contexts. Second, future research could investigate the effects of other aspects of anthropomorphism, such as robots’ voice characteristics (gender, high/low pitch), verbal communication styles and emotional expression. Finally, future research could explore other service contexts to test the generalizability of the findings.

Findings of this study also provide useful insight for companies interested in adopting service robots. First, the authors unearthed several positive outcomes of using human-like versus machine-like robots in service settings. Despite concerns about the perceived creepiness and discomfort associated with human-like robots, managers should not worry about these service agents’ potential negative effects. Second, it shows that human-like robots’ competitive advantage over machine-like robots stands out when task complexity is high. Managers should therefore carefully consider relevant service characteristics and task requirements when deciding whether to adopt robots.

This study provides original and valuable contributions to the growing literature on service robots by addressing scholarly incongruencies regarding the impact of anthropomorphism and disentangling its positive influence on consumers’ perceptions and acceptance of service robots. This study also contributes to research on technology acceptance and service robot receptivity by empirically demonstrating the mediating role of PEOU and PU. Furthermore, this research enriches the body of knowledge on task-technology fit by providing evidence that task complexity is a crucial factor to consider in service robot design.

The purpose of this study is to investigate the effect of cross-border acquisitions on brand image dimensions (functional, symbolic and global image) of the acquirer brand from a consumer’s perspective.

The authors measured Chinese consumers’ perceptions of eight fictitious cross-border acquisition scenarios and tested the hypotheses by using multiple hierarchical regression.

First, the acquisition significantly improves functional, symbolic and global image of the acquirer brand. Second, both image perceptions of the acquirer and the acquired brands before acquisition significantly impact post-image of the acquirer. The effect is greater for pre-image of the acquirer (dominance effect). Finally, brand fit, product fit and country-of-origin fit influence attitude toward the acquisition significantly.

There are limitations in the generalizations of the findings due to its reliance on a single country (China) and one industry (home appliances).

First, engaging in cross-border acquisitions significantly enhances the brand image of the acquirer brand. The global image has the largest improvement. Second, practitioners should carefully consider different levels of fit before the acquisition.

This study contributes to the extant literature by investigating brand acquisitions from the perspective of home country consumers (acquirer) and integrating multiple brand image dimensions and various levels of fit simultaneously.

Co-branding is popular with partnerships between well-known and new brands. In a laboratory study, this paper aims to examine the effects of a single ally and multiple allies on quality perception of a brand. The results suggest that the quality perception of the new brand depends on the co-branding strategy.

For dual-brand alliances, a single-factor design was used, with secondary brand quality level (high, medium and low) as the independent variable. Three advertisements were created by manipulating quality levels of the single partner. For multiple-brand alliances, a 2 × 3 between-subjects factorial design was used in the experiment. The two factors were diversification (homogeneous vs heterogeneous) and quality levels of the alliance (high-end, mixed and low-end).

The results suggest that the number of brand partners significantly affected the perceived quality of the primary brand. For both dual- and multi-brand alliances, the quality level of the secondary brand positively influenced the perceived quality of the primary brand. For multiple-brand alliances, even though the highest quality perceptions of the primary brand are in the heterogeneous conditions, the heterogeneity of partners (partners across different product categories) did not affect the quality perception of the primary brand.

One limitation of the current study is that it only addresses one type of brand alliance: co-promotion. The generalization of these findings to other forms of brand alliances (e.g. ingredient branding: Intel with IBM, Dell and HP) merits further investigation. Also, in this study, respondents processed the information in a relatively low-involvement condition (note that the target ad was presented along with filler ads). They were more likely to use brand names as heuristic cues to form their judgments. Because an alliance partner also assumes risks, future research should consider the effect of the alliances on the secondary brand.

Understanding brand alliances (especially multiple-brand alliances) is critical for new product managers and marketers. Introducing a new brand has higher risk and failure rates. Companies may lower these risks by co-branding with established brands. However, they should carefully consider the diversification and quality level of the partners. If brand managers position their product as “high quality (luxury)” or “low quality (budget)”, they should choose high- (or low-) quality partners from different product categories (heterogeneous high-end or low-end alliances) because diversification strengthens the primary brand. For a single-partner alliance, the secondary brand should be of high quality.

This paper extends the brand alliance literature beyond single-partner to multiple-partner alliances. With multiple partners, one can explore several critical aspects of an alliance, e.g. quality variance and product class diversity across the partners.

China became the second largest Internet market and the biggest mobile phone market in the world in 2002. It is estimated that with China’s entry to the WTO, its commitments to liberalization in the telecommunication and financial services sectors will spur e‐commerce development in this country. The growing popularity of the telephone, the increased number of internet users, and the extensive competition in the telecommunications industry are all prerequisites for E‐commerce development, but they do not indicate the existence of expansion of the same pace in e‐commerce. There are multiple factors that contribute to the slow development of e‐commerce in China. The focus of e‐commerce in China will be different than it is in Europe and America because of the difference in traditional business models, conventional consumer behaviors, and consumer expectations. This paper analyzes the factors that have significant impact on the E‐commerce development. The paper is aimed to help businesses that want to expand e‐business in China to understand China’s e‐commerce development, its uniqueness, and its obstacles.

The current paper aims to develop a reduced order discontinuous Galerkin method for solving the generalized Swift–Hohenberg equation with application in biological science and mechanical engineering. The generalized Swift–Hohenberg equation is a fourth-order PDE; thus, this paper uses the local discontinuous Galerkin (LDG) method for it.

At first, the spatial direction has been discretized by the LDG technique, as this process results in a nonlinear system of equations based on the time variable. Thus, to achieve more accurate outcomes, this paper uses an exponential time differencing scheme for solving the obtained system of ordinary differential equations. Finally, to decrease the used CPU time, this study combines the proper orthogonal decomposition approach with the LDG method and obtains a reduced order LDG method. The circular and rectangular computational domains have been selected to solve the generalized Swift–Hohenberg equation. Furthermore, the energy stability for the semi-discrete LDG scheme has been discussed.

The results show that the new numerical procedure has not only suitable and acceptable accuracy but also less computational cost compared to the local DG without the proper orthogonal decomposition (POD) approach.

The local DG technique is an efficient numerical procedure for solving models in the fluid flow. The current paper combines the POD approach and the local LDG technique to solve the generalized Swift–Hohenberg equation with application in the fluid mechanics. In the new technique, the computational cost and the used CPU time of the local DG have been reduced.

The paper attempts to examine the effect of multiple brand alliances using a portfolio diversification approach.

The paper reports the findings of a four‐level, single factor design study in which 149 randomly assigned participants were exposed to a product concept description for a new product in conjunction with: no ally (control), one ally, three homogeneous allies, and three heterogeneous allies.

Results support previous findings in the literature with regard to the effect of a single brand alliance. However, no support was found for the proposition that consumer evaluations of an unknown focal brand, when three well‐known heterogeneous allies are present, will be higher than when either one well‐known ally is present or three well‐known homogeneous allies are present.

Consistent with previous published research and despite diversifying the brand allies; it is impossible to conclude that multiple brand allies provide increased evaluations, relative to a single ally, for a previously unknown brand. More research is necessary regarding when and why multiple allies might be beneficial.

As the use of multiple brand alliances proliferates in the marketplace, it is important to understand the effect of such strategies on consumers' evaluations. The paper contributes to this growing body of research by investigating the effect of multiple brand alliances using a portfolio diversification approach.

While previous research has shown a positive influence of a brand ally or a warranty, published research has not explored the effects of using multiple types of quality signals. The purpose of this paper is to explore the joint effect of a default‐independent signal (i.e. a brand ally) combined with a default‐contingent signal (i.e. a warranty) on the focal brand's evaluations.

This paper reports the findings of a 2 (ally: none vs one) × 2 (warranty: no vs yes) between‐subjects factorial design in which 174 subjects were randomly assigned to experimental conditions.

The study's findings indicate that, individually, both brand alliance and warranty were a significant signal of product quality. However, the use of multiple types of signals, as opposed to one signal, did not add incrementally to consumer's perceived quality evaluations of a focal brand. In addition, risk reduction mediated the effects of brand ally and/or warranty on the focal brand's evaluations.

Recently, researchers have started to explore the influence of multiple brand alliance signals on consumer evaluations of brand. However, only the same type of signal has been examined. Signaling theory suggests that other marketing mix elements are marketplace signals of quality. This study contributes to the literature by investigating the role of multiple types of quality signals in brand building.