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This study explores the impact of brand's psychological contract violation on customers' spurious loyalty, via the mediating effects of customers' brand commitments (affective commitment, calculative commitment and normative commitment) and the moderating effects of justification for violation and nostalgia proneness in the link of psychological contract violation and three commitments.

Based on 427 valid responses collected from paper- and web-based survey questionnaires, a total of 21 hypotheses were tested by adopting a structural equation model, hierarchical regression technique and slope analyses.

The result indicates negative effects of psychological contract violation on customers' attitudinal loyalty and behavioral loyalty via affective commitment and normative commitment, as well as positive effects of psychological contract violation on customers' attitudinal loyalty and behavioral loyalty via calculative commitment. It explains the reason why some loyal customers show spurious loyalty after being psychological contract violated. Meanwhile, it also supports different moderating impacts of justification for violation and nostalgia proneness in these relationships.

This study underscores the importance of calculative commitment in mitigating the adverse effect of psychological contract violation on customers' loyalty. Also, managerial implications are put forward to prevent loyal customers from switching to a worse loyalty stage after being violated.

Extant literature holds contradictory views about the brand love’s moderation effect in the link between brand failure and consumer’s retaliation. This paper aims to first examine how failure severity correlates with negative emotions and how negative emotions lead to retaliation intention. Then, it probes into opposite moderation effects of brand love in these two stages. Further, it explores contingent factors, including perceived fairness, inferred goodwill, aggressive personality and brand trust, which may moderate “love is blind” effect or “love becomes hate” effect.

A questionnaire survey was conducted among the sample of 293 responses from Thailand, and 239 responses from China. A total of eight hypotheses were tested by adopting hierarchical regression technique and slope analyses.

The results show that consumers facing brand failure suffer negative emotions and then generate retaliation intention. Brand love positively moderates the link between failure severity and negative emotions, which is called “love becomes hate” effect. Meanwhile, brand love negatively moderates the link between negative emotions and retaliation intention, which is called “love is blind” effect. In addition, perceived fairness and inferred goodwill alleviate “love becomes hate” effect, and aggressive personality decreases “love is blind” effect.

This study makes contribution to brand failure literature by revealing twofold moderating roles of brand love in arousing retaliation behavior of consumers who encounter product/service failure, as well as contingent factors of these roles. Also, the research findings provide managerial implications to brand managers as to how to manage brand failure and reduce consumers’ retaliation by manipulating brand love and relevant contingent variables.

There is growing interest among marketers in advertising and promoting their brands by adopting an online celebrity endorsement strategy. However, how online celebrities build their own brand equity and how online celebrity brand equity impacts fans’ purchase behavior have not been extensively researched in the extant literature. This paper aims to explore the factors that contribute to online celebrity branding and improving fans’ purchase intentions.

A survey and an experiment were conducted among consumers from the mainland of China. A total of 12 hypotheses were proposed to exam how self-congruity and virtual interactivity impact online celebrity branding and to explore the moderating role of perceived quality and product type.

This paper reveals that customers’ perceived self-congruity with online celebrities’ image and virtual interactivity positively impact the brand equity of online celebrities. Additionally, compared with virtual interactivity, the effect of customer perceived self-congruity on a brand is more significant. The brand equity of online celebrities thereby drives followers’ purchase intentions and the perceived quality of products positively moderates this relationship.

The research conclusions provide managerial implications for marketing practitioners for how to use human brands on social media platforms in the web 2.0 era and ultimately enhance consumer purchase intentions.

This paper aims to investigate how relative contractual and relational governances impact seller’s value appropriation via buyer’s trust, perceived justice and opportunism in the context of industrial buyer–seller relationships.

Survey data from 232 matched buyer-seller dyads of Chinese business-to-business (B2B) firms was used to test the conceptual model and research hypotheses. The confirmatory factor model and structural equation model were tested by using Lisrel 8.80.

The findings show that relative contractual governance and relative relational governance have opposite consequences on B2B relationship and value outcomes. Relative contractual governance generates higher level of buyer’s opportunist behavior because it reduces buyer’s trust and perceived justice, therefore harms seller’s value appropriation. By contrast, relative relational governance enhances buyer’s trust and perceived justice, therefore curbs buyer’s opportunism and improves seller’s value appropriation.

This study makes significant contributions to theory development of value appropriation and inter-firm governance mechanism by extending dyadic view to network view. It proposes the concept of relative governance and explores its role in shaping a business partner’s perception and behavior. It also provides insightful implications for B2B companies on capturing more benefits from the relationship with buyers by leveraging relative governance strategies.

The traditional grey relational models directly describe the behavioural characteristics of the systems based on the sample point connections. Few grey relational models can measure the dynamic periodic fluctuation rules of the objects, and most of these models do not have affinities, which results in instabilities of the relational results because of sequence translation. The paper aims to discuss these issues.

Fourier transform functions are used to fit the system behaviour curves, redefine the area difference between the curves and construct a grey relational model based on discrete Fourier transform (DFTGRA).

To verify its validity, feasibility and superiority, DFTGRA is applied to research on the correlation between macroeconomic growth and marine economic growth in China coastal areas. It is proved that DFTGRA has the superior properties of affinity, symmetry, uniqueness, etc., and wide applicability.

DFTGRA can not only be applied to equidistant and equal time sequences but also be adopted for non-equidistant and unequal time sequences. DFTGRA can measure both the global relational degree and the dynamic correlation of the variable cyclical fluctuation between sequences.

The purpose of this paper is to propose a binocular visual odometry algorithm based on the Random Sample Consensus (RANSAC) in visual navigation systems.

The authors propose a novel binocular visual odometry algorithm based on features from accelerated segment test (FAST) extractor and an improved matching method based on the RANSAC. Firstly, features are detected by utilizing the FAST extractor. Secondly, the detected features are roughly matched by utilizing the distance ration of the nearest neighbor and the second nearest neighbor. Finally, wrong matched feature pairs are removed by using the RANSAC method to reduce the interference of error matchings.

The performance of this new algorithm has been examined by an actual experiment data. The results shown that not only the robustness of feature detection and matching can be enhanced but also the positioning error can be significantly reduced by utilizing this novel binocular visual odometry algorithm. The feasibility and effectiveness of the proposed matching method and the improved binocular visual odometry algorithm were also verified in this paper.

This paper presents an improved binocular visual odometry algorithm which has been tested by real data. This algorithm can be used for outdoor vehicle navigation.

A binocular visual odometer algorithm based on FAST extractor and RANSAC methods is proposed to improve the positioning accuracy and robustness. Experiment results have verified the effectiveness of the present visual odometer algorithm.

The aim of this study is to focus on consumers’ responses towards visual fashion ideal in hybrid magazine advertisements from a cross-cultural and generational perspective.

This exploratory qualitative focus group study showed a set of validated advertisements to 64 female participants. Half of the sample was from the USA, the other half was from China. To examine generational differences, the interviewees were split by age in each group: half of the participants were between 18 and 34, and half were between the age of 45 and 65 years.

Both Chinese and American target audiences viewed the trendy advertisements with an aspirational eye in which the advertisement was interpreted as representing an ideal self to which they aspired, one that they wanted to achieve but, for some reason(s), were not capable of achieving at the time. However, the degree of aspiration varied for Chinese and American audiences.

Because of the chosen research approach, the research results may lack generalizability. Therefore, future research may use survey and experimental research approaches.

International marketers may need to design advertisements with more “realistic” imagery, while keeping the idealized Western style in Chinese advertising. Advertisers should also be cognizant of intergenerational influences in the Chinese market; many young Chinese women still rely on their mothers regarding fashion purchase decisions.

This paper fills a need to understand both the similarities and the differences in marketing communications across cultures.

The purpose of this study is to extensively explore the vehicular network paradigm, challenges faced by them and provide a reasonable solution for securing these vulnerable networks. Vehicle-to-everything (V2X) communication has brought the long-anticipated goal of safe, convenient and sustainable transportation closer to reality. The connected vehicle (CV) paradigm is critical to the intelligent transportation systems vision. It imagines a society free of a troublesome transportation system burdened by gridlock, fatal accidents and a polluted environment. The authors cannot overstate the importance of CVs in solving long-standing mobility issues and making travel safer and more convenient. It is high time to explore vehicular networks in detail to suggest solutions to the challenges encountered by these highly dynamic networks.

This paper compiles research on various V2X topics, from a comprehensive overview of V2X networks to their unique characteristics and challenges. In doing so, the authors identify multiple issues encountered by V2X communication networks due to their open communication nature and high mobility, especially from a security perspective. Thus, this paper proposes a trust-based model to secure vehicular networks. The proposed approach uses the communicating nodes’ behavior to establish trustworthy relationships. The proposed model only allows trusted nodes to communicate among themselves while isolating malicious nodes to achieve secure communication.

Despite the benefits offered by V2X networks, they have associated challenges. As the number of CVs on the roads increase, so does the attack surface. Connected cars provide numerous safety-critical applications that, if compromised, can result in fatal consequences. While cryptographic mechanisms effectively prevent external attacks, various studies propose trust-based models to complement cryptographic solutions for dealing with internal attacks. While numerous trust-based models have been proposed, there is room for improvement in malicious node detection and complexity. Optimizing the number of nodes considered in trust calculation can reduce the complexity of state-of-the-art solutions. The theoretical analysis of the proposed model exhibits an improvement in trust calculation, better malicious node detection and fewer computations.

The proposed model is the first to add another dimension to trust calculation by incorporating opinions about recommender nodes. The added dimension improves the trust calculation resulting in better performance in thwarting attacks and enhancing security while also reducing the trust calculation complexity.

The communication link in the engineering of Internet of Vehicle (IOV) is more frequent than the communication link in the Mobile ad hoc Network (MANET). Therefore, the highly dynamic network routing reliability problem is a research hotspot to be solved.

The graph theory is used to model the MANET communication diagram on the highway and propose a new reliable routing method for internet of vehicles based on graph theory.

The expanded graph theory can help capture the evolution characteristics of the network topology and predetermine the reliable route to promote quality of service (QoS) in the routing process. The program can find the most reliable route from source to the destination from the MANET graph theory.

The good performance of the proposed method is verified and compared with the related algorithms of the literature.

In recent years, private brands for e-commerce platforms have experienced rapid growth. However, whether these platforms developing private brands should share their demand information with others and how such information sharing affects the sales format selection of national brand manufacturers have puzzled firm managers in practice. This paper aims to investigate the information-sharing strategy for the e-commerce platform and its influence on the sales format selection in the presence of the private brand.

The authors use a game-theoretical model to examine the interaction between the information-sharing strategy and sales format selection in a supply chain consisting of a manufacturer and a platform that operates a private brand.

The equilibrium results show that when the commission rate is low, the manufacturer favors agency selling, and the platform shares demand information with the manufacturer; when the commission rate is high, the manufacturer prefers reselling, and the platform does not share the information. This preference is affected by information forecasting accuracy; as the information forecasting accuracy increases, the manufacturer prefers to adopt agency selling, and the platform tends to share the information. Interestingly, under agency selling, sharing information with the manufacturer can increase the platform’s profit from selling the private brand and achieve a win-win situation for them. Furthermore, we show that the manufacturer can inspire the platform to share the information with himself by adopting agency selling, whereas the platform sharing the information improves the probability that the manufacturer adopts agency selling. Moreover, the manufacturer may have a first-mover advantage. In particular, the manufacturer moving first increases the likelihood that the manufacturer chooses agency selling and the platform shares the information.

This paper contributes to sales format literature by exploring the effect of information sharing strategy on sales format selection in the presence of the private brand and can help manufacturers and platforms to make suitable decisions regarding information sharing and sales format selection.