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PurposeDespite the growing research into luxury symbolism and its influence on consumer behavior, few studies have investigated the underlying psychological processes that occur in different cultural contexts. This study investigates the relationships among luxury symbolism, psychological underpinnings of self-congruity, self-affirmation and customer loyalty, especially regarding how these relationships differ between consumers in China and those in the US.Design/methodology/approachSample data were collected through surveys administered to 653 participants (327 in China and 326 in the US). A multi-group structural equation model was adopted to examine the conceptual model and proposed hypotheses.FindingsThe results show that luxury symbolism positively influences self-consistency, social consistency, social approval and self-esteem, and subsequently impacts self-affirmation and customer loyalty. However, for US consumers, self-esteem and social approval have significantly negative impacts on self-affirmation, while for Chinese consumers, social approval has no significant impact on self-affirmation. The authors also find that interdependent self-construal positively moderates the relationship between luxury symbolism, and social approval and social consistency. Independent self-construal positively moderates the relationship between luxury symbolism and self-consistency, and negatively influences the relationship between luxury symbolism and self-esteem.Originality/valueBased on the theory of self-congruity and self-affirmation, this study fills a literature gap by revealing the psychological underpinnings regarding luxury symbolism and customer loyalty. It extends extant studies in luxury consumption by introducing self-construal (independent self vs interdependent self) as an important cultural moderator in luxury symbolism. This paper provides insights for luxury practitioners to create efficient marketing strategies by satisfying consumers' psychological needs in different cultures.

The concept of "new luxury" has challenged the conventional marketing of luxury goods as prestigious, leading to greater expansion of mass luxury meaning. This has become more evident since the outbreak of COVID-19, which has been a catalyst for consumption in the luxury market. This paper investigates the mass marketing of luxury goods and explores the essence of masstige luxury consumption since the outbreak of COVID-19. An interpretive approach was conducted based on semi-structured, in-depth interviews with 31 participants. It analyzes four themes of mass luxury: self as content, self as process, self as context, and self-other. We further argue that the mass consumption of luxury reduces cognitive dissonance, with the pandemic resolving the dark side of conventional luxury consumption. Our findings provide important insights for both scholars and practitioners in the development of a more holistic understanding of masstige in the post-COVID era.

Purpose Managing attractiveness is a constant challenge to mobilize relationship-specific investments, especially in a business environment increasingly enhanced by social media (SM) activities. There is limited knowledge on how SM activities contribute to supplier attractiveness, so decisions about strategizing with SM and consequent resource allocations become highly uncertain. The purpose of this paper is to examine how suppliers’ SM activities influence supplier attractiveness. Design/methodology/approach Altogether, 57 senior managers were interviewed: 32 semi-structured in-depth interviews were conducted with senior managers in strategic decision-making roles regarding SM on the supplier side, along with 20 senior managers responsible for purchasing or looking after supplier development; one-to-one interviews were complemented by a focus group with 5 senior managers on the buyer side. Findings The study reveals an inverse U-shaped relationship between the intensity of the supplier’s SM activity and its attractiveness and offers a set of propositions about the influence of SM on supplier attractiveness, with special regard to the perceived risks of increased transparency and becoming “too social” on SM. Practical implications The study highlights SM management results for supplier attractiveness and their impact areas on business growth and supply chain development. Originality/value This paper provides in-depth insights into the role of SM in managing supplier attractiveness. Various effects of SM activities are identified that aim to contribute to the body of literature on supplier attractiveness as well as SM management in buyer–supplier relationships.

Contributed to by the prevalence of digital technology, various cases of new ventures achieve resilience quickly despite experiencing hardship. Growing attention has been devoted to mindfulness-being alert and acting swiftly-to explain recovery. Scholars have primarily focused on mindful resource preparation pre-crisis. Nevertheless, how to mindfully organize resources as a crisis occurs remains under-explored. Based on an inductive study of a ride-sharing vehicle venture, which rapidly became an open service platform during the COVID-19 pandemic in China, we develop a framework termed "swift resilience" to understand how new ventures mindfully organize resources, driven by digital innovation. In particular, we critically trace three mechanisms-"data-driven stretching," "collective sharing," and "rapid pivoting"-and develop a process model to understand how new ventures build swift resilience. Our emerging findings shed light on the scholarship of organizational resilience, mindfulness, and digital entrepreneurship, and provide guidance to managers on achieving resilience quickly.

This study examines the role of social media in facilitating the network of a social movement, the novel forms of exchange networks that are fashioned by participants of this movement and the drivers and effects of individuals’ engagement therein. Specifically, using the lens of political consumerism, we look at the movement of self‐described Indignant Citizens in Greece to reveal the underlying motivations for participants to engage in this social movement, the dynamics of their engagement and the ways in which Indignant Citizens’ online presence enables identity expression, community‐building and social change. We draw on interpretive analysis of findings from eight focus groups with members of Indignant Citizens. The findings reveal how this movement and the shared identity developed amongst its members empower our participants by giving them a voice and engage them in role mobilization, drive specific actions towards the conceptualization of a shared utopia and provide them with a platform to organize action and employ desired practices for the co‐creation of useful and gratifying exchanges.

Previous research has established the benefits of using social media in support of engagement in business-to-business settings. Yet the study of problems that arise from social media use in business relationships remains limited. Utilizing a dyadic perspective, this study addresses the gap by focusing on tensions in buyer-supplier relationships that arise from social media use. Findings present three dualistic tensions: active engagement anticipated by suppliers versus passive monitoring practices of the buyers; increased transparency through business-to-business social media versus invisibility; as well as tensions between local versus international business-to-business social media engagement practices. The study draws on 52 semi-structured in-depth interviews with senior managers who work in relevant positions at manufacturing firms based in China. By identifying characteristic tensions pertaining to business-to-business social media, this study aims to contribute to research on the ‘dark side’ of business relationships as well as to literature on business-to-business social media engagement.

Platform owners adopt preferential treatment strategy to garner heterogeneous values. Complementors who do not receive preferential treatment get the short end of the stick. An interesting phenomen...

Understanding the factors that influence sales is important for online sellers to manage their supply chains. This study aims to examine the roles of online reviews and reviewer characteristics in predicting product sales. With Amazon.com data captured using our big data architecture, this study performs sentiment analysis to measure the sentiment strength and polarity of review content. The predicting powers of sentiment together with other variables are then examined using neural network analysis. The results indicate that all the proposed variables are important predictors of online sales, and among them helpful votes of reviewer and picture of reviewer are the most influential ones. The findings of this study can be helpful for online sellers to manage their businesses, and the big data architecture and methodology can be generalised into other research contexts.

As the globalization of trade is growing, reliance on quality of products is increasing as a solution for manufacturing firms to compete in the domestic and international markets. The Zhejing provincial government in China has applied a place umbrella branding strategy and created the “ZhejiangMade” brand to develop or maintain the competitive advantage of Chinese manufacturing firms. The core value of the “ZhejiangMade” brand is to provide products with outstanding quality. Local manufacturing firms and their products can share the logo of the “ZhejiangMade” brand once they are certified. This chapter attempts to explore how the local government in China develops a place umbrella branding strategy and investigate the measures it has taken to keep the cohesiveness of the brand partners and extend the unifying brand value across local offers.

The purpose of this study is to discuss the concepts of brand identity and brand image from a brand extension perspective in the higher education sector. It addresses how consumers identify and transfer the parent university's brand identity into the extended brand image of an international satellite branch, and further explores the underlying causes of the backward reciprocal transfer from the extension to parent brand. The interview results reveal that the identity–image linkage is influenced by consumers' perceived congruence and legitimacy of the brand extension. Other than the impact of functional, symbolic, and self-image congruence between the parent brand and extension, the main factors of extension legitimacy are: regulative legitimacy, brand extension authenticity, desirable values to audiences, and cultural adaptation. The findings also suggest the importance of marketing exposure, exploitation avoidance, and resource transfer in enhancing the reciprocal influence of the extended brand image on the parent brand.

Purpose – Despite the growing interest in reverse exchange, studies on the subject from the perspective of consumer participation and motivation remain sparse. Consumers’ participation in reverse exchange is a key component of supply-chain reverse logistics. To address the gap in existing studies, this paper aims to empirically identify the intention and causes of consumer electronic product exchange (EPE). The proposed research model incorporates value-belief-norm and neutralization theories, linking consumers’ values to their intentions to participate in EPE. Design/methodology/approach – Survey data collected from 250 consumers were analyzed using structural equation modeling. Findings – This discussion shows that people are more likely to present positive attitudes when they are ethically concerned. However, this tendency is not without exceptions and behavior influenced by ethics was not always observed. Upon examination, the findings highlight moderating forces of psychological tension that arise wh...

Contributed by the prevalence of digital technology, numerous cases of new ventures rapidly become disrupters of established industries. Extant literature has pointed out the importance of pivoting...

This study aims to investigate the contributions of online promotional marketing and online reviews as predictors of consumer product demands. Using electronic data from Amazon.com, we attempt to predict if online review variables such as valence and volume of reviews, the number of positive and negative reviews, and online promotional marketing variables such as discounts and free deliveries, can influence the demand of electronic products in Amazon.com. A Big Data architecture was developed and Node.JS agents were deployed for scraping the Amazon.com pages using asynchronous Input/Output calls. The completed Web crawling and scraping data-sets were then preprocessed for Neural Network analysis. Our results showed that variables from both online reviews and promotional marketing strategies are important predictors of product demands. Variables in online reviews in general were better predictors as compared to online marketing promotional variables. This study provides important implications for practitioners as they can better understand how online reviews and online promotional marketing can influence product demands. Our empirical contributions include the design of a Big Data architecture that incorporate Neural Network analysis which can used as a platform for future researchers to investigate how Big Data can be used to understand and predict online consumer product demands.

This research examines how fellow-townsmenship, a distinctive homophilous social network, functioned among Ningbo entrepreneurs pertaining to their simultaneous exploration and exploitation of business opportunities, or achieving ambidexterity, in the nineteenth century. By investigating data in relevant historical records from museums, archives and libraries, case studies based on two representative Ningbo entrepreneurs from a distinctive business family showcase how those entrepreneurs took advantage of townsmenship to resolve the trade-off between exploration and exploitation. In doing so, simultaneous exploration and exploitation alongside the expansion of fellow townsmenship proved to be effective and successful. This research provides new grounds to examine ambidexterity.

This study aims to understand how buyer–seller relationship, competitive environment and guanxi affect Chinese manufacturers’ decision to implement Green Supply Chain Collaboration (GSCC). We also examine whether guanxi is able to mediate the buyer–seller relationship and GSCC implementation. Data collected from 222 Chinese manufacturing organizations were analyzed using the partial least squares method of structural equation modeling. The result shows that buyer–seller relationship influences Green Supply Chain Collaboration through asset specificity, volume uncertainty, transaction frequency and competitive environment. The results also showed support for our hypotheses that guanxi mediates the effect of asset specificity, volume uncertainty and environmental competition on GSCC.

Radio frequency identification (RFID) is an internet of things technology that provides many benefits to the healthcare industry’s supply chain. However, a challenge faced by healthcare industry is the limited adoption and use of RFID by physicians and nurses. This research extended existing work by integrating unified theory of acceptance and use of technology (UTAUT) (i.e. performance expectancy, effort expectancy, facilitating conditions, social influence) and individual differences, namely personality (neuroticism, conscientiousness, openness to experience, agreeableness and extraversion) and demographic characteristics (i.e. age and gender) to predict the adoption of RFID in the healthcare supply chain. Data was collected from 252 physicians and nurses. The research model was tested by employing neural network analysis. During the course of this research, 11 variables were proposed in a bid to predict the adoption of RFID by physicians and nurses. In general, individual differences are able to predict the adoption of RFID better compared to variables derived from UTAUT. This study contributes to the growing interest in understanding the acceptance of RFID in the healthcare industry.

This exploratory study examines Chinese consumers’ perceptions of authenticity. Extended interviews reveal that Chinese consumers do not evaluate products based on a perceived binary relationship between authentic and inauthentic products. The results suggest, instead, Chinese consumers view authenticity evaluation as relational and hierarchical rather than original and unique. Two additional authenticity types emerge—domesticated and mimicked. The findings help marketing practitioners create new consumer segments based on the authenticity levels of product offerings and simultaneously help preserve brand equity and long-term relationships with consumers.

In today's dynamic business environment the success of a firm often depends on its ability to create brand loyalty. While there is a large body of research exploring brand loyalty and its antecedents, little has been done to examine how the relationship between these antecedents and brand loyalty is moderated by consumer differences in individual level collectivist values. This understanding is important however as consumers high in individual level collectivist values have been found to make different brand choices than consumers low in individual level collectivist values. We develop and test theory that suggests consumer differences in individual level collectivist values have a significant moderating effect on the relationship between perceived value, perceived quality, brand trust and brand loyalty. The results show that consumers high in individual level collectivist values are significantly more loyal to a focal brand, especially when brand trust and perceived quality are at relatively low levels.

This study aims to understand how buyer–seller relationship, competitive environment and guanxi affect Chinese manufacturers’ decision to implement Green Supply Chain Collaboration (GSCC). We also examine whether guanxi is able to mediate the buyer–seller relationship and GSCC implementation. Data collected from 222 Chinese manufacturing organizations were analyzed using the partial least squares method of structural equation modeling. The result shows that buyer–seller relationship influences Green Supply Chain Collaboration through asset specificity, volume uncertainty, transaction frequency and competitive environment. The results also showed support for our hypotheses that guanxi mediates the effect of asset specificity, volume uncertainty and environmental competition on GSCC.

Purpose– The purpose of this paper is to explore brand equity from multiple perspectives (tangible and intangible) and their joint consequences, namely, on industrial buyers’ brand loyalty and their long-term commitment. The aim is to provide a more comprehensive framework of the buyer’s behavioral response in the business-to-business context by integrating both trust elements and industrial brand attributes (brand performance and industrial brand image). In addition, the study explores the mediation effects of trust and brand attributes on industrial buyers’ responses such as loyalty and long-term commitment.Design/methodology/approach– Using a survey approach, the study includes respondents working in the heating, ventilating and air-conditioning (HVAC) industry in Malaysia, and data are collected in the industrial air-conditioning segment. The research model was tested with SEM.Findings– Findings show that brand performance and industrial brand image directly affect brand trust but with different effects on buyers’ commitment and loyalty. Interestingly, industrial brand image only mediates the responses via brand trust, while brand performance has a direct effect. Thus, both brand performance and industrial brand image build buyer trust. But in this context, it is brand performance rather than industrial brand image that influences long-term commitment and loyalty. The study concludes that in the HVAC industry, brand performance, industrial brand image, buyer trust, industrial loyalty and commitment build brand equity.Originality/value– Significant research reveals that, in business-to-business contexts, brand equity depends on the supplier’s brand trust and attributes of the brand such as brand image and brand performance. While useful in guiding a supplier’s or industry’s brand strategy, the study of both brand trust and brand attributes has led to only a partial explanation of the supplier’s or industry’s brand equity. The present research explores industrial brand equity, focussing on tangible assets (performance) and intangible assets (brand image), and their joint consequences.

The significant effect of marketing-related decisions on a wide range of stakeholders is a main driving force behind the increased interest in ethical marketing. This chapter first discusses key elements and antecedents of ethical marketing decision-making. It then compares the ethical marketing issues and facts in four countries respectively: China, Taiwan, Japan and South Korea. The chapter also includes a case study of a Chinese furniture company scandal – Da Vinci’s failure to label the country of origin of products properly. Future ethical marketing research directions will also be discussed.

Price premiums are a key profit driver for long-term business relationships. For sellers in business-to-business (B2B) relationships, it is important to have appropriate strategies to negotiate price increases without trading off the relationships with their buyers. This paper aims to understand the annual price negotiation processes of companies by predicting whether a seller's reservation price, target price, and initial offer positively affect the price negotiation outcome between the sellers and buyers. Data from 284 B2B relationships of a chemicals supplier based in Germany was used to examine our research model. In order to capture the non-linear decisions that are involved in price negotiations and to address collinearity among negotiations' determinants, neural network analysis was used to predict the factors that influence price negotiation outcome. The neural network model was then compared with the results from regression analysis. Compared to regression analysis, the neural network has a lower standard error, and it showed that target price played a more important role in B2B price negotiations. The neural network was also able measure non-linear, non-compensatory decisions that are involved in price negotiations. The results imply that neural networks should be more widely used by researchers to address the threats that multi-collinearity poses. For companies, the results imply that price targets should be actively managed, e.g. through clear financial aims or through seminars aiming to help sales personnel to establish more challenging negotiation aims.