The increasing demand for environmental protection has given rise to burgeoning research on green consumption. The present research adds to this expanding literature by investigating a novel predictor of consumer green consumption: awe. As a self-transcendent emotion, awe arises when people encounter perceptually vast stimuli that overwhelm their existing knowledge and mental structures, and, meanwhile, this also elicits a need for accommodation. This research proposes and demonstrates that, compared with happiness and a neutral affective state, experience of awe promotes green consumption via an enhanced psychological ownership of nature. Moreover, this research identifies a condition by showing that, while awe promotes green consumption when interdependent self-construal is activated, this effect diminishes when independent self-construal is activated.
The vigorous development of e-commerce has led to online retailers or platforms increasing the capacity of online shopping carts. A large number of products are added to the online shopping cart, but they are not “emptied.” The resulting behavior of products being stuck in the shopping cart is called the “shopping cart abandonment behavior.” Previous literature has focused on the large number of antecedent variables that affect shopping cart abandonment behavior in the pre-decision stage of online shopping. This previous research has studied how to reduce shopping cart abandonment behavior from the perspective of consumers. By focusing on the post-decision-making stage of shopping, this research proposes to sort the products in a chronological order (ascending and descending order) after the products are added to the shopping cart and reduce shopping cart abandonment behavior through the intermediary of forgetfulness and choice overload. We use an exploratory study and two laboratory experiments to reveal the above intermediary mechanism. Our results show that online shopping cart abandonment generally occurs in shopping carts on all major platforms. Forgetting and shopping cart page rendering may be the reasons that lead to shopping cart abandonment behavior. In the case of targeted tasks, ascending order has a significant impact on abandonment behavior, choice overload mediated this effect.
6 June 2016 in Journal of Business & Industrial Marketing
Purpose: Grounded in agency and clan theories, this study aims to examine how, when and why joint liability works as a control mechanism to reduce opportunism among tea supplier groups in China.Design/methodology/approach: Survey data from 82 supplier groups (three respondents per group) were collected.Findings: Joint liability is related positively to peer monitoring (as mediator) and negatively to opportunism, whereas the mediated relationship is moderated positively by group leaders’ perceived legitimate authority and negatively by reciprocity and shared norms.Social implications: Opportunism is operationalized as the use of illegal pesticides, the violation of manufacturer–supplier contractual agreements and joint liability, as suppliers’ liability of having the whole group’s seasonal production is rejected by the manufacturer if a single act of opportunism is detected in the group.Originality/value: Our study demonstrates how and under what conditions the joint-liability mechanism is linked with the reduction of multi-suppliers’ opportunism. We pave the way for future applications of the control mechanism to fields related to inter-organizational governance. Most importantly, we apply Ouchi’s clan theory (1979, 1980) to conceptualize manufacturer–supplier and supplier–supplier relationships in China and provide first-hand evidence to validate its applicability and generalizability to the context. The study also offers insights on network influences in inter-organizational relationships (Guet al., 2010; Wathne and Heide, 2004) and confirms the important roles of network factors in inter-organizational relationships. In particular, peer monitoring operates as a mediator and normative factors operate as facilitators (moderators) for the joint liability to work as a mechanism to control opportunism in this relationship context.
Game strategies are widely used by companies to attract users and increase their stickiness. At the same time, the protection of the ecological environment is also an important expression of corporate social responsibility. This paper explores the integration of social responsibility with gaming strategies from the psychological perspective of game withdrawal, and explores the incorporation of social responsibility as an element in gamification design to reduce user withdrawal behaviour, thereby increasing individual’s environmentally sustainable behaviour. We evidenced our hypothesis through two studies. Study one proved our hypothesis by recruiting 106 university undergraduates (from Wuhan University, mean age 20, of whom 47 were female and 59 were male) to prove our hypothesis by recalling previous experiences with different types of games. Study two further tested our hypothesis by manipulating participants’ guilt through randomly recruiting 196 participants (mean age 35, of whom 88 were female and 108 were male, 35 of them were students, 107 were office workers and 54 were from other sectors) from different industries through the questionnaire research website Credamo. The findings show that incorporating social responsibility elements into the design of games can make users engage in pro-social behaviour while playing the game, and the guilt that users feel because of the game will be compensated by pro-social behaviour, thus reducing the game frequency and duration and improving the intent of pro-social behaviour. At the same time, players’ self-control moderates the effect of guilt on game play volume under a socially responsible gamification design.
The sharing economy has become an important business model for China to promote energy conservation and emission reduction, improve the utilization efficiency of social resources, promote green and sustainable development, and achieve high-quality economic development. How to improve the willingness of individuals to share underutilized resources with others is becoming an urgent problem for enterprises and academia. Although current research on the sharing economy provides insights into users’ perspectives, little attention has been given to the comprehensive investigation of the sharing intention of individual service providers. Based on the motivation—opportunity—abilities (MOA) theory, we analyze the influencing factors and boundary conditions of individual resource sharing intention by taking new consumer groups as research samples. The results reveal that the sharing intention of individual service providers depends on their customized service capability, economic motivation, and perceived ease of use. Furthermore, the burden of ownership and fashion consciousness will further influence the sharing intention of individual service providers. This discovery provides theoretical basis for the development of an enterprise sharing economy and government guidance, and enriches the theoretical research on the sharing economy.
As more and more genetically modified foods (GMFs) must be labeled, adding more information to increase the willingness to buy genetically modified food has become the focus of scholars and enterprises. Most current studies have confirmed that the consumer attitudes and purchase intention toward GMFs are not good. This study aims to match consumers’ different information-processing mechanisms by adding marketing information clues and regulating their purchase intentions by contradictory attitudes towards GMFs. According to the interest demands of GMFs, the marketing clue information was divided into functional information and environmental information. Through two studies, we find that consumers are more inclined to environmental information than heuristic. Functional information is more attractive to males, and the young generation prefers ecological information. Consumers with high ambivalence towards genetically modified foods are more inclined to choose environmental attribute information.