Search results

A humanoid intelligent robot (HIR) possessing a human-like appearance can undertake human jobs, interact, communicate and even transmit emotions to human beings. Such robots have gradually been integrated into people's daily life and production scenarios. However, it is unclear whether and by what mechanism HIRs can stimulate people’s risk perception and its impact on consumption attitudes. Based on the risk decision theory, this study aims to take the social value substitution attribute of a HIR as the incentive and analyzes the influence of social value substitution and risk perception on the customers’ consumption attitudes.

Three experiments were conducted to investigate the related questions about the social value substitution attribute of a HIR, its impact on risk perception and the customers’ consumption attitudes.

The results reveal that physical labor, intellectual labor, friendship, kinship and the ego constitute the hierarchical elements of social value substitution. Among them, physical labor and intellectual labor pertain to the dimension of social function value substitution, while friendship, kinship and ego pertain to the dimension of social presence value substitution; social function value substitution and social presence value substitution affect the subjects’ risk perception positively, but the latter arouses a stronger risk perception; the 2 (risk perception of social function value: security/danger) × 2 (risk perception of social presence value: security/danger) condition corresponds to diverse consumption attitudes.

The results enrich the theories of the “cha-xu pattern” and “uncanny valley” and provide reference for the healthy development of the HIR industry.

This study aims to investigate the effect of winning-losing perception, including the winning or losing result and the closeness of this result, on consumers’ subsequent variety-seeking behavior.

Four experimental designs, one with a modified version of the Tetris game, were used to show how and when winning or losing perceptions will influence individuals’ variety-seeking behavior.

Consumers who have failed in a competition or not achieved a goal tend to seek less variety in their later consumption than do consumers who have succeeded because losing feedback weakens consumers’ perception of their control of personal mastery. This effect only exists when the closeness of winning or losing is narrow (e.g. the success is just missed) and diminishes when the result is clear and obvious.

The current study has systematically explored the interaction between winning-losing outcomes and the closeness of these outcomes.

This study offers marketing managers practical guidance on how to use competition results to conduct marketing activities, such as transmitting advertisements for classic flavors to those who have lost in a video game or properly increasing the proportion of new flavors or products in stores or vending machines near sports venues.

This research adds to the literature on competition, which has largely overlooked the possible moderating role of the closeness of the competition result and its influence on individuals’ follow-up irrelevant behaviors and it also adds to the work on variety-seeking behavior, which has not explored the impact of winning-losing perception.

This paper aims to examine different types of sharing platforms based on risk perceptions of product/service providers and users, and to illustrate appropriate platform regulation preferences.

A survey was used (N = 540) to collect data on platform participants’ risk perceptions and regulation preferences in the Chinese (N = 263) and the US markets (N = 277). Cluster analysis and multiple correspondence analysis were used to categorise platforms and match their regulation preferences with the risk characteristics.

The results show that i) four types of sharing platforms are categorised in terms of the risk perceived by the supply and demand side, and ii) four types of regulation preferences are clustered, drawing on the power and trust elements proposed from the slippery slope framework. Furthermore, coercive power regulation is favoured by participants of platforms with high supply risk and low demand risk, legitimate power regulation is preferred by actors of platforms with low supply risk and high demand risk, reason-based trust regulation is preferred by actors of platforms with high supply and demand risk, and implicit trust regulation is favoured by participants of platforms with low supply and demand risk.

This paper develops an empirical typology of platforms based on risk perceptions of providers and users, and advances our understanding about lateral exchange markets from a consumer perspective.

This paper provides implications for platforms to regulate transactions through two mechanisms – the power of platforms and trust in platform participants.

Regulating by power ensures transaction security while regulating by trust enhances transaction efficiency, so it is important to configure the power and trust elements in platform regulation in an appropriate manner. To the best of the authors’ knowledge, this paper is one of the first attempts at addressing platform regulation and shows how consumers’ risk perception of platforms can lead to important implications for theory and practice in marketing and better regulation of platform transactions.

A combined model involving the intensity of negative emotions and the strategic combinations (timing and means) of service recovery is developed. The purpose of this paper is to evaluate the performances of these different combinations through customer satisfaction, repurchase intention and fitting curves between the two under hotel service scenarios.

A 2 (recovery timing: immediate/delayed) × 2 (recovery means: psychological/economic) × 3 (type of service failure: failure in a delivery system/failure in responding to customer needs/improper employee behavior) between-subject experimental design was used with 456 participants.

The results suggest that immediate and economic recovery effectively raises the service recovery evaluations from customers with low-intensity negative emotions, whereas delayed and psychological recovery helps customers with high-intensity negative emotions to give higher evaluations.

When service failures happen, the strategies for and timing of recovery directly influence customers’ service recovery evaluations. This study sheds light on the role that negative emotions play in the process of service recovery and provides implications for service industry managers.

The purpose of this study is to explore the effects of priming on consumer emotions and willingness to pay as consumers experience two services with two opposite valences.

A 2 (service experience sequence: failure–success, success–failure) × 3(priming: positive, negative, no priming) between-subject experiment was conducted with 230 college students in China.

Results indicate that when priming information is included, people give greater decision weight to the second service. Specifically, in the failure–success scenario, priming information between two services increases positive emotions and decreases negative emotions, raising willingness to pay. In the success–failure scenario, priming information decreases positive emotions and increases negative emotions, thus lowering willingness to pay.

First, if businesses discover the possibility of a service failure, then disclosing negative information is better than whitewashing the truth. Second, services following a campaign of positively framed messages should be carefully rendered. The damage of pre-failure positive priming is most certainly irreparable. Finally, in terms of communication, businesses and service providers should cater to consumers exposed to different levels of information accordingly.

Previous investigations focusing on a single purchase have argued that priming effects should cause consumers of varying tastes to react in a more unified manner to a service. This study extends the research scope to more realistic situations ”sequential service experiences with opposite valences” and asserts that differences in service experiences alter the influence of priming information.

The purpose of this study is to examine whether corporate tax avoidance behavior increases firm value in Chinese context. A large number of studies conduct their designs on the consumption that tax avoidance represents wealth transfer from government to enterprises and therefore enhances firm value. This study argues that, contrast to developed countries, tax avoidance does not necessarily add value to opaque Chinese firms relative to transparent counterparts due to higher agency costs.

Using a large sample of Chinese listed-firms data for the period 2001-2009 and fixed effects regression model, this study examines the relation between tax avoidance and firm value. A series of robustness checks are conducted to alleviate the concern of endogeneity.

The authors find that tax avoidance behavior increases agency costs and reduces firm value. The authors further find that information transparency interacts with corporate tax avoidance, moderating the relation between tax avoidance and firm value. Investors in China react negatively to corporate tax avoidance behavior, but this negative reaction could be mitigated by information transparency. The results are robust to a series of alternative treatments, including varied measures, first-order differential approach and 2SLS.

The results suggest that tax avoidance does not necessarily increase firm value, part of gains are encroached by self-serving managers. Moreover, investors in China downplay the significance of tax avoidance, although corporate information transparency could soften their negative tone.

Along with the “reform and open door” policy launched in the late 1970s, China has experienced an annual average GDP growth rate of 9.8% between 1978 and 2002 (Hu, 2003, October 19). China's economy system has also gone through a fundamental transition from a central planning system to a socialist free market economy. To cope with the booming economy and radical social changes, the higher education system of China has been undergoing a process of expansion with marketization (World Bank, 1997).

Facing turbulent environments, firms have strived to achieve greater supply chain resilience (SCR) to leverage the resources and knowledge of supply chain members. Both SCR and supply chain integration (SCI) require digitization in the supply chain, but their interrelationships have rarely been researched empirically. This paper aims to uncover the impact of digital technology (DT) on SCR and SCI and the role of SCI in mediating between DT and SCR.

China manufacturing enterprises were surveyed through a Web-based questionnaire, and 96 responses were received. Structural equation modeling was used to test the conceptual model.

The level of enterprise digitization is not directly related to supply chain resilience, but the level of enterprise digitization has a positive impact on the improvement of SCI and SCI also has a positive effect on SCR. Therefore, SCI has a complete intermediary effect between the level of DT and SCR.

This is a pioneer study to examine the relationships among DT, SCI and SCR. The findings of this study present that firms need to improve DT, SCI and SCR consequently.

This paper aims to examine how the official discourse of frugality evolved in China between 1979 and 2015.

The study uses historical and textual analysis. It divides the Chinese official discourse on frugality between 1979 and 2015 into four periods: 1979-1992, 1993-2002, 2003-2012 and 2013-2015.

A Chinese official discourse on frugality persisted between 1979 and 2015, even though during the same period, China transformed from a socialist economy of central planning and insufficient supply to a market economy of excessive supply and weak consumer demand. The intensity of this official discourse frequently vacillated, adjusting to both economic and political conditions of the time as part of the larger political-economic contestation between competing ideas and policies.

There have been calls for more studies on how frugality discourses have evolved in international markets, especially in terms of how they are shaped by local historical antecedents and long-standing tensions. Through the Chinese case, this article illuminates why some traditional values persist and obtain a paradoxical co-existence with consumerist ethos in our modern society.

To address the issues of low localization and mapping accuracy, as well as map ghosting and drift, in indoor degraded environments using light detection and ranging-simultaneous localization and mapping (LiDAR SLAM), a real-time localization and mapping system integrating filtering and graph optimization theory is proposed. By incorporating filtering algorithms, the system effectively reduces localization errors and environmental noise. In addition, leveraging graph optimization theory, it optimizes the poses and positions throughout the SLAM process, further enhancing map accuracy and consistency. The purpose of this study resolves common problems such as map ghosting and drift, thereby achieving more precise real-time localization and mapping results.

The system consists of three main components: point cloud data preprocessing, tightly coupled inertial odometry based on filtering and backend pose graph optimization. First, point cloud data preprocessing uses the random sample consensus algorithm to segment the ground and extract ground model parameters, which are then used to construct ground constraint factors in backend optimization. Second, the frontend tightly coupled inertial odometry uses iterative error-state Kalman filtering, where the LiDAR odometry serves as observations and the inertial measurement unit preintegration results as predictions. By constructing a joint function, filtering fusion yields a more accurate LiDAR-inertial odometry. Finally, the backend incorporates graph optimization theory, introducing loop closure factors, ground constraint factors and odometry factors from frame-to-frame matching as constraints. This forms a factor graph that optimizes the map’s poses. The loop closure factor uses an improved scan-text-based loop closure detection algorithm for position recognition, reducing the rate of environmental misidentification.

A SLAM system integrating filtering and graph optimization technique has been proposed, demonstrating improvements of 35.3%, 37.6% and 40.8% in localization and mapping accuracy compared to ALOAM, lightweight and ground optimized lidar odometry and mapping and LiDAR inertial odometry via smoothing and mapping, respectively. The system exhibits enhanced robustness in challenging environments.

This study introduces a frontend laser-inertial odometry tightly coupled filtering method and a backend graph optimization method improved by loop closure detection. This approach demonstrates superior robustness in indoor localization and mapping accuracy.