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Product discounts have been widely applied in digital commerce as a method to attract and retain customers to purchase in China. Given that digital channels differ in their attributes, customers may behave differently when they respond to the same discount across channels. However, little attention has been paid to explore the heterogeneity of customer responses to discounts across channels. This study aims to fill in the gap by exploring how customers’ purchase responses to price discounts differ across digital channels.

This study applies a Poisson regression to an unbalanced data set of purchasing history from Chinese footwear brands with 3,510 customers in a two-year time window across the three digital channels (i.e. personal computer [PC], app and mobile website), with a correction for endogeneity by using the Gaussian copula method.

This paper finds that price discounts have the strongest positive effect on consumers’ purchase volumes on the PC channel, followed by the app channel, while discounts show the weakest impact in the mobile website channel. By so, this paper demonstrates that customers respond differently to online and mobile channels, and they also respond differently within mobile channels when they purchase products with price discounts.

This study is original in analyzing the difference in customers’ discount responses across digital channels, offering valuable contributions to existing research on multichannel marketing as well as mobile marketing and providing helpful insights for multichannel merchants to design digital discount strategies.

To establish a stimulating traffic model of ring road systems and study the traffic effects of ring road in the center of a large city, including the influence in vehicle's travel time and distance.

Different from the ring road systems in the west, Beijing and other big cities in China build ring roads in city center. However, it seems that those systems do not work because the traffic problem still exists when the number of cars in the city increased quickly in past five years. According to the real geographic topology network structure around Er Huan road in Beijing city center, a simplified simulated traffic model was built. Then, two indices of traffic effects, average travel time and path length were studied by comparing the two models with or without ring road.

According to the simulation, although a high‐speed ring road shortens the travel time, it isolates the nature road network system and increases travel distance in the city center. Furthermore, it is uneconomic building a ring road to relieve traffic jams.

Only Er Huan road in Beijing traffic system was simulated in the model. A more complicated ring road system needs to be developed.

A useful model for optimizing traffic system with ring roads, and providing a support for doubting the strategy of developing ring road in city center district in many cities of China.

This is a new way by establishing the simulation model to analyze the scheme of ring road traffic systems. Furthermore, advice for current situation are concluded and it is useful for optimizing current traffic system.

Industry-wide crises involving consumer products place consumers at risk. Consumers rely on institutions that constrain corporate practice and control product quality to reduce risk. As institutions vary by country, country-of-origin (COO) acts as a salient cue for consumers to identify institutional quality and thus evaluate risk when making purchase decisions. However, in the era of globalisation, identification of institutional quality becomes complex as global value chains involve different countries such as brand origin (BO) and country-of-manufacture (COM). Therefore, this research investigates how BO and COM individually and jointly affect consumers' institutional perceptions and subsequent purchase decision-making in the presence of systemic risk.

This research includes three studies (n = 764) employing surveys and choice modelling experiments with samples from China and the USA.

The results show that BO and COM relate to different institutional perceptions. BO evokes perceptions of legitimacy and the regulatory environment, while COM evokes perceptions of the normative and the regulatory environment. The combination of BO and COM determines how institutional quality is communicated and further affects consumers' legitimacy perceptions, preferences and willingness to pay a price premium.

This research contributes to understanding the effect of BO and COM in the context of complex value chains from an institutional perspective. It also provides implications for leveraging complex COO cues with BO and COM information to improve consumers' institutional perceptions.

This study aims to measure social enterprises’ (SEs’) social objectives under the United Nation’s 17 Sustainable Development Goals (SDGs) framework, and explore the impact of SEs’ social objectives on their choices of legal forms.

This study used semi-structured questionnaires followed up by field interviews and observations of the sampled SEs. The survey sample includes 80 participants of Social Entrepreneurs Stars Competition in Zhejiang Province of China. The authors conduct content analysis to measure the objectives of SEs. The authors also perform descriptive analysis, chi-square test and regression analysis on the data.

The findings confirm the theoretical discussions that SEs’ choices of legal forms reflect SEs’ strategies toward achieving social objectives. Similar to certain countries, some SEs in China register as nonprofit entities to concentrate on nonprofitable sustainability objectives, while others register as commercial enterprises or hybrid organizations to generate profits. However, some SEs focus on profitable non-sustainability issues and fail to prioritize social objectives over economic objectives. There are positive effects of social entrepreneurs’ background similarity and negative effects of social entrepreneurs’ educational level on their SEs’ choices to register as commercial enterprises.

Due to the small size and nonrepresentative sample this study is based on, the findings need be further tested by a larger sample. SEs in different service domains rely on different types of financial resources (Mair et al., 2012; Doherty et al., 2014). In future research, the model can be expanded to test the effects of service domains and types of financial sources on SEs’ choices of legal forms.

To encourage more societal resources being allocated toward achieving the United Nations’ SDGs, policymakers and SE certification programs are recommended to explicitly incorporate sustainability objectives into the evaluation standards and supportive policies for SEs. Social entrepreneurs who aim to balance the social and economic objectives in their business are suggested to target the population with whom they share similar community background. Training or consulting programs for social entrepreneurs are suggested to provide advice tailored to their socio-economic background and personal experiences.

To the best of the authors’ this study is the first quantitative analysis to identify factors that associate with SEs’ choice of legal forms in China. The authors developed new instruments to measure SEs’ social objectives and service targets, access to financial resources and social entrepreneurs’ social-economic backgrounds.

Flexible pressure sensor arrays have promising applications in analog haptics, reconfiguration of sensory functions, artificial intelligence, wearable devices and human-computer interaction. The force disturbance generated by the connecting material between the sensor array units will reduce the detection accuracy of the unit. The purpose of this paper is to propose a flexible pressure sensor with interference immunity capability. A C-type bridge flexible piezoelectric structure is used to improve the pressure perturbation. The interference immunity capability of the sensor has been improved.

In this paper, a C-type pressure sensor array structure by rapid injection moulding is manufactured through the positive piezoelectric effect of a piezoelectric material. The feasibility of C-type interference immunity structure in a flexible sensor array is verified by further analysis and experiment. A flexible pressure sensor array with C-type interference immunity structure has been proposed.

In this paper, we present the results of the perturbation experiment results of the C-type pressure sensor array, showing that the perturbation error is less than 8%. The test of the flexible sensor array show that the sensor can identify the curved angle of up to 120 °, and the output sensitivity of the sensor in the horizontal state reaches 0.12 V/N, and the sensor can withstand the pressure of 80 N. The flexible sensor can work stably in the stretch rate range of 0–8.6% and the stretch length range of 0–6 mm.

In this paper, C-type pressure sensor array structure is fabricated by rapid injection moulding for the first time. The research in this paper can effectively reduce the disturbance of input pressure on the sensor’s internal array and improve the output accuracy. The sensor can intuitively reflect the number of fingers sliding on the sensor by the order in which the maximum voltage appears. Due to the strong interference immunity capability and flexibility of the flexible sensor array mechanism, it has a broad application prospect in the practical fields of haptic simulation, perceptual function reconstruction, artificial intelligence, wearable devices and human–computer interaction.

The purpose of this study is to provide a micro-nano chip automatic alignment system. Used for micron and nanometer channel alignment of microfluidic chip.

In this paper, combined with the reconstructed micro–nanoscale Hough transform theory, a “clamp–adsorb–rotate” chip alignment method is proposed. The designed alignment system includes a microscopic identification device, a clamping device and a suction device. After assembly, the straightness of the linear slide rail in the horizontal and vertical directions was tested, respectively. The results show that in the horizontal and vertical directions, the linearity error of the linear slide is +0.29 and 0.30 µm, respectively, which meets the requirement of chip alignment accuracy of 15 µm. In the direction of rotation, the angular error between the microchannel and the nanochannel is ±0.5°. In addition, an alignment flow experiment of the chip is designed. The results demonstrate that the closer the angle between the microchannel and the nanochannel is to 90°, the fluid fills the entire channel. Compared with the conventional method, the method and the assembly system realize fully automatic double-layer chip alignment.

A mechanical device designed by Hough transform theory can realize microfluidic chip alignment at nanometer and micron level.

The automatic alignment device adopts Hough transform principle and can be used for microfluidic chip alignment.

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.

Destination marketing strategies are designed to attract visitors, inviting them to acknowledge and virtually experience the different resources available on site. Still, their success also depends on the ability of destination management organizations (DMOs) to develop an effective communication strategy. The ongoing COVID-19 pandemic radically changed the goals set by the promotional campaigns launched by the Portuguese tourist boards. This study analyzes the textual content of the innovative promotional video campaigns released between mid-March and early April 2020 by Portuguese tourism authorities at national level (Turismo de Portugal), regional level (Centro, Algarve, Madeira and the Azores) and local level (Cascais) to promote these destinations during nationwide states of emergency. Since image is undeniably a key component of destination choice, content analysis approach was conducted using NVivo to measure the cognitive–affective image dimensions using a semantic differential scale. The results indicate that the campaigns conveyed inspiring messages of hope and trust to help restore tourists' confidence in their safety and emphasized the planning for future trips while aiming to reduce risk perception by highlighting that the destination is safe for travel. That way these campaigns are in close accordance with the literature focusing on corporate social responsibility applied to DMOs and image recovery strategies.