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Drawing on the social presence theory, this study aims to explore how supplier–customer social media interactions influence supplier observers’ trust in the customers and what mechanisms contribute to variation in trust experience.

A total of 36 semi-structured interviews were conducted with Chinese suppliers using WeChat for business-to-business interactions. Data were analyzed in three steps: open coding, axial coding and selective coding.

Findings reveal that varied trust is based not only on the categories of social presence of interaction – whether social presence is embedded in informative interactions – but also on the perceived selectivity in social presence. Observer suppliers who experience selectivity during social and affective interactions create a perception of hidden information and an unhealthy relationship atmosphere, and report a sense of emotional vulnerability, thus eroding cognitive and affective trust.

The findings contribute new understandings to social presence theory by exploring the social presence of interactions in a supplier–supplier–customer triad and offer valuable insights into business-to-business social media literature by adopting a suppliers’ viewpoint to unpack the mechanisms of how social presence of interaction positively and negatively influences suppliers’ trust and behavioral responses.

This paper explores how platforms reconfigure versatile digital resources to achieve marketing agility in international markets.

We draw on a case study of a Chinese digital platform to explore the processes and mechanisms of reconfiguring during marketing agility development. Data from different sources are collected, including interviews, informal dialogue and archival data.

Versatile digital resources create productive applications for previously less amendable marketing and nonmarketing resources to be malleable, editable and reconfigurable in marketing agility development. This study identifies and clarifies three versatile digital resource-enabled reconfiguration activities in marketing agility building: recombining digital artifacts, repurposing human capital and cross-pollinating markets.

Since our study adopts a case study method, future research can extend our insights by using quantitative methods to test and verify our theoretical framework.

First, we provide insights into how organizations can reconfigure versatile digital resources to achieve the benefits of marketing agility in international markets. Second, while recruiting new employees during internationalization is vital, we suggest that assisted by digital artifacts, firms can repurpose the existing workforce, such as via multitasking, swift task-switching and flexible job redirecting to satisfy dynamic international business requirements with lower adjustment costs. Third, we offer two localization approaches in which firms can use digital artifacts as the enabler to remix sociocultural elements with local adaptations to develop glocal content and decentralize content production to generate inclusive local content.

We provide a process model that specifies how platforms reconfigure versatile digital resources to achieve marketing agility in international markets. Furthermore, we provide novel insights into the literature on marketing agility in international markets and localization.

Despite 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.

Sample 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.

The 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.

Based 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.

This study aims to examine the impact of five consumption values (i.e. ecological, functional, symbolic, experiential and epistemic) on consumers’ intentions to adopt green products. Using Thaler’s utility theory, the authors investigate the indirect effect of values on purchase intention through acquisition utility and transaction utility. Two moderators (materialism orientation and value consciousness) further influence the strength of the effect of consumption values on transaction utility.

The authors used a survey design (N = 437 Chinese customers recruited through a Chinese online panel provider) and structural equation modeling (SEM) to test six hypothesized relationships in the proposed model. Moderated SEM was used for moderation analysis.

Most hypothesized relationships in the model were confirmed, with the exception of the functional value–transaction utility link and the moderating effect of materialism on the experiential value–transaction utility relationship.

Larger-scale research may help to determine whether there are more significant differences in consumer evaluations of different types of green products.

As the concept of green marketing in China evolves, firms should continue to stress the importance and value of green products regarding individuals’ care for the environment, status and self-image. Further, firms should conduct systematic utility analyses and address acquisition and price equity in a strategic process.

To the best of the authors’ knowledge, this study is the first to adapt utility theory to green consumption and proposes a clearly defined and well-substantiated set of utility types by merging economic and green consumption literature.

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.

Survey data collected from 250 consumers were analyzed using structural equation modeling.

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 when people behave in ways that are in apparent contradiction to their expressed positive attitudes.

It is important to modify the model by analyzing consumers’ actual EPE behaviors. Future research should also reconsider the results from a longitudinal perspective.

The reverse logistics management practices proposed offer valuable insight into other various activities as well, including an integrated supply chain model and improving customer service.

The proposed action of EPE encourages consumers as well as managers to reduce, recycle or effectively dispose of waste.

Current reverse exchange models are insufficient for measuring consumer motivations perspective, which is a key but inadequately researched perspective of determining the effectiveness of reverse logistics management. This research endeavors to fill this gap and augment previous studies in EPE by advancing the discussion on how the concept of reverse logistics management is evaluated and justified in relation to consumption values and psychological motivations.

The purpose of this paper is to develop a modelling approach that enables the analysis of long-term food security policies. Specifically, the authors explore the effect of China’s agricultural domestic support on its agricultural and food market by also considering the impact of incomplete price transmission.

The authors extend the standard Global Trade Analysis Project (GTAP) modelling framework. First, the authors incorporate incomplete price transmission into the GTAP model by generating tariff-equivalent price transmission elasticities. Second, the authors improve the current representation of China’s agricultural domestic support in the GTAP model and the underlying database by considering the production requirements and the trade-distorting effect of different policy instruments. Running a set of simulations, the authors examine first how the incorporation of incomplete price transmission affects the model’s results and second how increased agricultural domestic support affects China’s agricultural and food market accounting for incomplete price transmission.

Considering incomplete price transmission mitigates the domestic price increases as responses to high international agricultural prices, which also lead to an increase in China’s trade deficit and prohibits net food sellers from receiving high prices. In the long term, an increase in China’s agricultural domestic support to its World Trade Organisation de minimis commitment level would increase domestic agricultural production and reduce its demand pressure on the international market.

This paper contributes to the literature by examining the impact of increased agricultural domestic support on the domestic market while innovatively accounting for incomplete food price transmission. The authors combine econometric estimated price transmission elasticities and an extended GTAP framework to underscore the importance of enhancing the model’s ability in accounting for incomplete price transmission when analysing the impact of agricultural policies.

The purpose of this paper is to review the economic arguments for and against raising the tariff on imports of cotton into China.

The paper reviews first the possible arguments for raising the tariff, and particularly the possibility that such an increase in tariffs would have a favorable distributional effect by redistributing from those involved in the production of textiles and clothing to the producers of cotton. The core analysis of the paper examines the policies in place using descriptions of policies and interviews with policymakers. It also assembles statistics designed to assess the export status of cotton, whether in raw or processed form.

The paper reviews the situation with respect to WTO commitments and confirms that such an increase, up to 40 percent, would be permitted under WTO rules. The paper then examines other constraints on the effective use of such higher tariffs on cotton. Policies that are better than tariff increases in dealing with the serious problems of rural incomes are identified.

The paper is unable to assess the distributional impacts of an increase in the tariff on cotton. It raises a number of cautions about the issues that need to be confronted in making such an assessment.

The issue of raising the tariff on cotton has been a subject of intense debate in China and this paper is intended to provide an input into this debate. The paper agrees that urgent action is clearly needed to mitigate the poverty problems in rural China, but concludes that a number of policy options appear likely to be more effective in dealing with these problems than protection of cotton.

Creativity and innovation have been buzzwords of managerial discourse over the last few decades as they contribute to the long-term survival and competitiveness of firms. Given the non-linear, causally ambiguous, and intangible nature of all innovation-related phenomena, management scholars have been trying to uncover factors that contribute to creativity and innovation from multiple lenses ranging from organizational behavior at the micro-level to strategic management at the macro-level. Along with important and insightful developments in these research streams that evolved independently from one another, human resource management (HRM) research – especially from a strategic perspective – has only recently started to contribute to a better understanding of both creativity and innovation. The goal of this chapter is to review the contributions of strategic HRM research to an improved understanding of creativity at the individual-level and innovation at the firm-level. In organizing this review, the authors rely on the open innovation funnel as a metaphor to review research on both HRM practices and HRM systems that contribute to creativity and innovation. In the last section, the authors focus on more recent developments in HRM research that focus on ambidexterity – as a way for HRM to simultaneously facilitate exploration and exploitation. This chapter concludes with a discussion of future research directions.

The authors apply topic sentiment analysis (several relatively new text analysis methods) to the study of public opinion as expressed in social media by comparing reactions to the Trayvon Martin controversy in spring 2012 by commenters on the partisan news websites the Huffington Post and Daily Caller.

Topic sentiment analysis is a text analysis method that estimates the polarity of sentiments across units of text within large text corpora (Lin & He, 2009; Mei, Ling, Wondra, Su, & Zhai, 2007).

We apply topic sentiment analysis to public opinion as expressed in social media by comparing reactions to the Trayvon Martin controversy in spring 2012 by commenters on the partisan news websites the Huffington Post and Daily Caller. Based on studies that depict contemporary news media as an “outrage industry” that incentivizes media personalities to be controversial and polarizing (Berry & Sobieraj, 2014), we predict that high-profile commentators will be more polarizing than other news personalities and topics.

Results of the topic sentiment analysis support this prediction and in so doing provide partial validation of the application of topic sentiment analysis to online opinion.