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The smart image sensor (SIS) which integrated with both sensor and smart processor has been widely applied in vision-based intelligent perception. In these applications, the linearity of the image sensor is crucial for better processing performance. However, the simple source-follower based readout circuit in the conventional SIS introduces significant nonlinearity. This paper aims to design a low-power in-pixel buffer circuit applied in the high-linearity SIS for the smart perception applications.

The linearity of the SIS is improved by eliminating the non-ideal effects of transistors and cancelling dynamic threshold voltage that changes with the process variation, voltage and temperature. A low parasitic capacitance low leakage switch is proposed to further improve the linearity of the buffer. Moreover, an area-efficient SIS architecture with a sharing mechanism is presented to further reduce the number of in-pixel transistors.

A low parasitic capacitance low leakage switch and a gate-source voltage pre-storage method are proposed to further improve the linearity of the buffer. Nonlinear effects introduced by parasitic capacitance switching leakage, etc., have been investigated and solved by proposing low-parasitic and low-leakage switches. The linearity is improved without a power-hungry operational amplifier-based calibration circuit and a noticeable power consumption increment.

The proposed design is implemented using a standard 0.18-µm CMOS process with the active area of 102 µm². At the power consumption of 5.6 µW, the measured linearity is −63 dB, which is nearly 27 dB better than conventional active pixel sensor (APS) implementation. The proposed low-power buffer circuit increase not only the performance of the SIS but also the lifetime of the smart perception system.

This paper aims to address the following issues: (1) most existing methods are based on recurrent network, which is time-consuming to train long sequences due to not allowing for full parallelism; (2) personalized preference generally are not considered reasonably; (3) existing methods rarely systematically studied how to efficiently utilize various auxiliary information (e.g. user ID and time stamp) in trajectory data and the spatiotemporal relations among nonconsecutive locations.

The authors propose a novel self-attention network–based model named SanMove to predict the next location via capturing the long- and short-term mobility patterns of users. Specifically, SanMove uses a self-attention module to capture each user's long-term preference, which can represent her personalized location preference. Meanwhile, the authors use a spatial-temporal guided noninvasive self-attention (STNOVA) module to exploit auxiliary information in the trajectory data to learn the user's short-term preference.

The authors evaluate SanMove on two real-world datasets. The experimental results demonstrate that SanMove is not only faster than the state-of-the-art recurrent neural network (RNN) based predict model but also outperforms the baselines for next location prediction.

The authors propose a self-attention-based sequential model named SanMove to predict the user's trajectory, which comprised long-term and short-term preference learning modules. SanMove allows full parallel processing of trajectories to improve processing efficiency. They propose an STNOVA module to capture the sequential transitions of current trajectories. Moreover, the self-attention module is used to process historical trajectory sequences in order to capture the personalized location preference of each user. The authors conduct extensive experiments on two check-in datasets. The experimental results demonstrate that the model has a fast training speed and excellent performance compared with the existing RNN-based methods for next location prediction.

This study aims to explore the moderating outcomes of mobile promotions in three parts. First, Study 1 is conducted to discover the moderating effect of mobile promotions when consumers initially purchase a restaurant service. Second, Study 2 investigates how the promotion level during subsequent purchasing events moderates the relationship between attitudes toward selecting a restaurant brand (ATRB) and repurchase intentions. Third, the study compares mobile promotion effects between the initial purchase stage and subsequent purchase state.

Two studies are conducted to test the hypotheses. Using a longitudinal survey, Study 1 demonstrates the moderating role of mobile promotions (M-promotions) during the initial restaurant choice stage (T). Study 2 extends these findings to the reordering stage (T+1).

The results of Study 1 show that price discounts are much more impactful than free delivery when food quality and online reviews are positive. Study 2 shows that price discounts have more substantial effects than gifts at time T+1 when ATRB is positive. The findings are relevant to both scholars and managers, adding insights to discussions on promotions arising from the evolution of consumption experiences.

Promotions differ in financial value; hence, comparisons of promotional packages may vary during subsequent purchase states, helping to explain subsequent promotion stages and enabling scholars to understand their impact on the food reordering context.

The fact that no empirical studies have examined the roles of M-promotions during subsequent purchasing stages constitutes a significant gap in extant promotion research. Therefore, this study seeks to fill this gap by providing robust evidence to demonstrate these effects and related temporal mechanisms. Additionally, although the literature on promotion is used mostly in cross-sectional studies, this study addresses a common challenge to reveal dynamics of promotion levels during subsequent consumption periods.

The purpose of this paper is to propose a robotic system for percutaneous surgery. The key component in the system, a robotic arm that can manipulate a puncture needle is presented. The mechanical design, the motion control and the force control method of the robotic arm are discussed in the paper.

The arm with an arc mechanism placed on a 3D Cartesian stage is developed as a puncture needle manipulator to locate the position of the needle tip, tune the needle’s posture and actuate the puncture motion under the visual guidance of two orthogonal X-ray images of a patient by a surgeon. A focusing method by using two laser spots is proposed to automatically move the needle tip to a surgery entry point on the skin. A dynamics model is developed to control the position of the needle mechanism and an explicit force control strategy is utilized to perform the needle insertion.

With the surgical system, a surgeon can easily perform puncture operation by taking two orthogonal real-time X-ray images as a visual feedback and accurately navigating the needle insertion. The laser-guided focusing method is efficient in placement of the needle tip. The explicit force control strategy is proved to be effective for holding constant and stable puncture force in experiments.

The robotic arm has an advantage in easy redirection of the needle because the rotation and the translation are decoupled in the mechanism. By adopting simple laser pens and a well-developed kinematics model, the system can handle the entry point, locating task automatically. The focusing method and the force control method proposed in the paper are useful for the present system and could be intuitive for similar surgical robots.

Prior hospitality studies have reviewed review trustworthiness and perceived price as predictors of restaurant selection. However, the impacts of these two factors may vary by sales promotion and customer types. This study aims to determine whether sales promotions and customer type are the key elements that facilitate behavioral intentions by moderating the linkage between perceived price and behavioral intentions as well as the linkage between online review trustworthiness and behavioral intentions.

Analysis of the responses of 533 individuals familiar with the Michelin Guide for restaurants in Seoul provided evidence supporting a sales promotion theory wherein promotions signal benefits in consumers’ minds.

The findings show that when perceived price is positive and the trustworthiness of online reviews is high, repeat customers prefer mixed coupons to price discounts. Notably, the results indicate that when the trustworthiness of online reviews is high, first-time customers also prefer mixed coupons to price discounts. Furthermore, the findings suggest that negative evaluations of perceived price increase the impact of mixed coupons by signaling to first-time customers that given restaurants’ offerings provide monetary benefits regardless of their intentions to revisit said restaurants.

The study findings provide insights that should help managers better understand various levels of promotion. Managers can design their pricing strategies to strengthen customers’ motivations to visit their restaurants – the very thing customers often seek in sales promotions.

This study provides indisputable evidence for a sales promotion theory, wherein promotions signal benefits in consumers’ minds; however, it also shows that first-time and repeat customers do not respond equally to sales promotions.

This empirical study, from the international retailing perspective, examines the direction of retailers' further expansion after initial entry into overseas host market in the context of the luxury fashion retail market in China.

The research adopts qualitative multiple case studies.

After initial entry into China, luxury fashion retailers further expand their retail operations through three directional patterns: cautious, regional and countrywide expansions. The stepwise expansion from tier-1 to tier-2 and tier-3 cities remains popular; however, the importance of the tier system of Chinese cities has been weakened because tier-3 cities in affluent regions are perceived to have more potential than some tier-2 cities in less developed regions. The retailers assess a potential local market through interrelated criteria, including location and strategic importance, economic development, available store locations and staff, a high degree of urbanisation and tourism, debatable favourable policies and offers, and popularity of e- and m-commerce. There is a positive relationship between popularity of e- and m-commerce in a city and the potential of that city to run brick-and-mortar stores.

The paper offers an insight into the current international retailing literature by examining the direction of luxury fashion retailers' further expansion after their initial market entry. Particularly, the research considers a set of criteria which can be used to assess a potential local market, and the impact of e- and m-commerce on local market choices for brick-and-mortar stores.

From an international retailing perspective, this empirical study aims to examine luxury fashion retailers' changing marketing strategies in China.

Using case studies of 14 luxury fashion retailers, qualitative data were collected via 31 semi-structured executive interviews.

Both standardised global and localised multinational marketing strategies were found to have initially been employed by luxury fashion retailers entering into China. Subsequently, localised multinational strategies became increasingly important for their post-entry operations and business development, particularly in terms of their product strategies. More specifically, as well as the introduction of Chinese brand names, product design has been adapted according to Chinese market conditions, and product portfolios have been adapted to satisfy regional differences. However, localised product sourcing in China is far less common.

As the findings are generated from China, they may not explain luxury fashion retailers' marketing strategies in other markets. Despite the relatively small sample size, the 14 luxury fashion retailer case studies originate from across a wide range of countries, retail formats and ownership structures and are therefore considered to be varied enough to represent the market.

The study offers practitioners insights into the success that can be generated by the manipulation of marketing strategies, particularly product strategies, within the world's second biggest luxury market.

This paper extends the current international retailing literature by examining and comparing the motives and practices of luxury fashion retailers and the increasing localisation of their marketing strategies in China as they move from initial market entry into their post-entry operations.

The purpose of this paper is to examine luxury fashion retailers’ ownership structures at their internationalisation strategies in Hong Kong and mainland China.

This study adopts a pragmatic mixed methods approach, comprising a quantitative mail survey and ten qualitative executive interviews.

This study found that group-owned luxury fashion retailers usually encounter fewer difficulties when internationalising into mainland China than their individually owned counterparts because of parenting advantage, particularly functional and service support. However, the success of some individually owned brands has demonstrated that branding strategies, management culture, international experience, financial power and local partners’ know-how are as important as parent company support and although the luxury market in mainland China has become developed, many foreign luxury fashion retailers still enter Hong Kong prior to mainland China. However, in relation to post-entry management and expansion strategies, the importance of Hong Kong has weakened because the emergence of capital cities, the growth of the middle class and fewer political restrictions.

The research findings are generated in the context of Hong Kong and mainland China, they are therefore limited in explaining luxury fashion retailers’ internationalisation strategies in other markets. Despite the challenge of the sample size, 63 out of 130 survey respondents (48.5 per cent response rate) and ten interview participants are felt to be sufficient to represent the market.

This research can be used by practitioners when assessing appropriate entry strategies to the Chinese luxury fashion market.

This is a pioneering study of the Chinese luxury market from the perspective of international retail strategies. It differentiates between Greater China (including Hong Kong, Macau and Taiwan) and mainland China, and examines the impact of luxury fashion retailers’ ownership structures on their internationalisation strategies.

The purpose of this paper is to analyse the impact of consumers’ perceptions of the enjoyment and originality of firm-generated content (FGC) posted on Instagram on affective customer engagement (CE). In addition, an examination is undertaken of affective CE as a driver of customer behaviour.

The paper takes a quantitative approach using a sample of 334 women followers of an eco-friendly restaurant Instagram account. After validation of the measurement scales, the hypotheses were tested through structural equation modelling. Drawing on the stimuli-organism-response framework the authors posit that consumers’ perceptions of the enjoyment and originality of Instagram posts generate affective CE, which, in turn, influences customer behaviour.

The results showed that the perceived enjoyment and perceived originality of Instagram posts generated by an eco-friendly restaurant have a positive influence on affective CE, which, in turn, affects consumers’ recommendation behaviours, intention to follow the restaurant’s advice on Instagram and intention to revisit the restaurant.

This research provides novel insights into how the perceived enjoyment and originality of FGC posted on Instagram increases women’s affective engagement and expands knowledge of how affective CE might increase positive electronic word-of-mouth, intention to follow the restaurant’s advice and repurchase intentions.

El objetivo de este trabajo es analizar el impacto de las percepciones de los consumidores sobre el disfrute y la originalidad del contenido generado por la empresa (CGE) publicado en Instagram en el engagement afectivo del cliente. Además, se examina el engagement afectivo del cliente como impulsor de su comportamiento.

El artículo adopta un enfoque cuantitativo utilizando una muestra de 334 mujeres seguidoras de la cuenta de Instagram de un restaurante ecológico. Tras la validación de las escalas de medición, las hipótesis se testaron mediante un modelo de ecuaciones estructurales. Basándonos en el marco S-O-R, se postula que las percepciones de los consumidores sobre el disfrute y la originalidad de las publicaciones de Instagram generan un engagement afectivo del cliente que, a su vez, influye en su comportamiento.

Los resultados mostraron que la percepción de disfrute y la percepción de originalidad de las publicaciones de Instagram generadas por un restaurante ecológico tienen una influencia positiva en el engagement afectivo del cliente, que, a su vez, afecta a los comportamientos de recomendación de los consumidores, la intención de seguir los consejos del restaurante en Instagram y la intención de volver a visitar el restaurante.

Esta investigación proporciona una visión novedosa sobre cómo la percepción del disfrute y la originalidad de los CGE publicados en Instagram aumenta el engagement afectivo de las mujeres, y amplía el conocimiento sobre cómo el engagement afectivo de los clientes podría aumentar la comunicación boca-oído electrónica (eCBO) positiva, la intención de seguir los consejos del restaurante y las intenciones de recompra.

本文旨在分析消费者对Instagram上发布的企业生成内容（FGC）的愉悦度和原创性的感知对情感性顾客契合的影响。此外, 本文还对作为顾客行为驱动因素之一的情感性顾客契合进行了研究。

本文采用定量方法, 以一家生态友好餐厅的Instagram账户的334名女性粉丝为研究样本。在验证了测量量表有效性后, 通过结构方程模型对假设进行了检验。基于S-O-R框架, 我们认为消费者对Instagram帖子的愉悦度和原创性的感知会产生情感性的顾客契合, 进而影响顾客行为。

研究结果显示, 消费者对生态友好餐厅在Instagram上所发帖子的愉悦度和原创性的感知对情感性顾客参与有正向影响, 而情感性顾客契合进而影响消费者在Instagram上的推荐行为、采纳餐厅建议的意愿和重访该餐厅的意愿。

这项研究对Instagram上发布的FGC的愉悦度和原创性消费者感知如何增加女性的情感契合提供了新的见解, 并扩展了关于情感性顾客契合如何增加积极的电子口碑、采纳餐厅建议的意愿和再次购买意愿的知识。

Coronavirus (COVID-19) brought massive economic damage throughout the globe. Economic as well as social set-ups have enormously collapsed. The present paper underlines some economic complications of China during COVID-19. The study also sheds light on initiatives taken by the government of China to fight against such a damaging pandemic.

The study employed secondary research or desk research that involves existing data. The data were collected from reliable sources, described below. The data were summarized and organized to increase the overall efficacy and reliability of the research.

The study finds that China has confronted many downturns in export and import, GDP decline, blockage of markets and production evaluation. To recover from these unfavorable and adverse circumstances, China has recovered its economy by introducing digital transformation, effective legislations, A V-shaped recovery and A U-shaped recovery in manufacturing and services.

China's steps and initiatives to invigorate economic developments during a pandemic would be beneficial for other economies facing the severe challenges of economic development, especially after COVID-19.

The present study is one of the rare studies of the domain that offers the guidelines to the policymakers and economists of developing countries to develop their policies regarding the digital economy to face the traditional market's challenges.