Article
Business
Jia Jin, Chenchen Lin, Fenghua Wang, Ting Xu, Wuke Zhang
Summary: This study examines how the framing effect of summary descriptions of product reviews on e-consumers' purchase decisions is moderated by product type. The results indicate that for search products, a positive frame increases purchase intention, while for experience products, framing messages do not affect purchase intention. These findings are in line with information asymmetry theory and signal theory.
ELECTRONIC COMMERCE RESEARCH
(2023)
Review
Computer Science, Information Systems
Jia Jin, Ailian Wang, Cuicui Wang, Qingguo Ma
Summary: Building on the Heuristic-Systematic model, this study explores consumers' perceived usefulness of overall and individual text-based reviews (OTRs vs. ITRs) for search vs. experience products, as well as the information processing features. The results show that OTRs are considered more useful than ITRs, regardless of product type. ITRs are perceived to be more useful for experience products than for search products. The eye-tracking experiments further confirm these findings and provide insights into attentional allocation during information processing. OTRs affect subjects' processing of ITRs information differently for purchase search and experience products.
INFORMATION & MANAGEMENT
(2023)
Review
Business
Miriam Alzate, Marta Arce-Urriza, Javier Cebollada
Summary: This study examines the impact of online reviews on product sales by incorporating the notion of review visibility. Results show that the sorting mechanism of reviews plays a significant role in affecting product sales, with the most helpful reviews having a greater impact overall.
JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH
(2021)
Article
Psychology, Multidisciplinary
Tao Chen, Premaratne Samaranayake, XiongYing Cen, Meng Qi, Yi-Chen Lan
Summary: This study investigated the impact of online product reviews on consumers' purchasing decisions. The results showed that consumers pay more attention to negative comments than positive comments, especially female consumers. The study also found a significant correlation between consumers' visual browsing behavior and their purchase intention. Moreover, consumers were unable to identify false comments.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Business
Seongsoo Jang, Jaihak Chung, Vithala R. Rao
Summary: This study emphasizes the importance of multidimensional OCR contents in online marketing, including the impact of both functional and emotional dimensions on sales. The results show that the volume of product quality and ease-of-use OCRs drives more sales than the valence, while the valence of product innovativeness and price OCRs outperforms the volume.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Economics
Lin Feng, Yuxuan Yang, Jie Lv
Summary: In this study, a two-period model is developed to examine the impact of online reviews on product quality and price decisions. The findings show that the informativeness of reviews plays different roles in firm-consumer interactions depending on the market's average willingness to pay (AWTP). In a high-AWTP market, the information value-added benefits both the firm and consumers, while in a low-AWTP market, it has a negative impact.
MANAGERIAL AND DECISION ECONOMICS
(2023)
Article
Management
Jianheng Zhou, Rongfei Xu, Changmin Jiang
Summary: This study explores the impact of online information on firms' competition strategy in the age of e-commerce. The findings suggest that when only sales volume information is available, the leader firm tends to have a competitive advantage. However, when both sales volume and online reviews are available, the follower firm can be more competitive under certain conditions. Furthermore, neither sales volume information nor online reviews guarantee higher profits for the leader firm.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Review
Business
Huiming Liu, Su Wu, Chongwen Zhong, Ying Liu
Summary: This study measures customer satisfaction in online reviews using a sentimental lexicon. It classifies the quality characteristics of mobile phones into five categories based on the Kano model. The findings show that the Excitement and Performance characteristics significantly enhance product popularity, while the Indifferent and Reverse characteristics have no significant influence. The study also highlights the importance of Must quality characteristics but their inability to continuously improve sales performance.
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Elizabeth Fernandes, Sergio Moro, Paulo Cortez, Fernando Batista, Ricardo Ribeiro
Summary: This study proposes a method to simplify the decision-making process of restaurant managers by combining live social media customer feedback and historical sales data; a dashboard that provides value for restauranteurs by utilizing online reviews and sales forecast was developed; the approach was positively evaluated by restaurant management experts, particularly for the time saved in decision-making.
INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT
(2021)
Review
Computer Science, Information Systems
Yifan Yu, Yang Yang, Jinghua Huang, Yong Tan
Summary: Emotion artificial intelligence, which recognizes and interprets various human emotions, is still in its early stages but has gained attention. This study proposes an algorithm for automatic emotion lexicon construction and emotion detection in texts based on discrete emotion theory. Using a large dataset from China's movie market, a domain-specific emotion lexicon was constructed and validated, showing the predictive power of eight discrete emotions in online reviews on box office sales.
Article
Psychology, Mathematical
Alexandre Bruckert, Marc Christie, Olivier Le Meur
Summary: In this study, a new eye-tracking database containing gaze-pattern information on movie sequences and editing annotations is proposed. The strong links between movie editing and spectators gaze distributions are exposed, leading to potential improvements in human visual attention modeling for cinematic content.
BEHAVIOR RESEARCH METHODS
(2023)
Review
Business
Prasad Vana, Anja Lambrecht
Summary: This study explores the impact of individual product reviews on consumer purchase decisions, finding that individual reviews significantly influence consumer decisions when they help resolve product uncertainty or contrast with aggregate information.
Review
Business
Shutian Wang, Yan Lin, Guoqing Zhu
Summary: Online reviews are a free sales assistance tool that plays a crucial role in consumers' purchasing decisions. Most studies have focused on the impact of online reviews on low-involvement products, leaving little research on high-involvement products. This study collects sales and online review data to analyze the effect of online reviews on high-involvement products sales and explores the relationship between the valence and volume of online reviews. The findings reveal an inverted U-shaped relationship between online review valence and sales, with the volume of reviews positively influencing sales. The valence of reviews also moderates the relationship between volume and sales. These results contribute to a better understanding of the impact of online reviews on offline sales and offer guidance for promoting high-involvement products.
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
(2023)
Article
Business
Hanyu Gong, Meng Zhao, Jiali Ren, Zhihua Hao
Summary: This paper studies the live streaming strategy in the context of multi-channel sales for online retailers. The authors analyze the impact of different sales strategies, including single online, online and in-store experience, as well as the combination of online and live streaming. The findings suggest that the profitability of live streaming depends on the product standardization and quality. For standardized products with high quality, adding live streaming can lead to the highest profit. However, for highly personalized products, the addition of live streaming may slightly reduce the retailer's profit. The study also identifies the advertising effect and cannibalization effect of live streaming, and provides recommendations for sales strategy choices based on demand and profit considerations.
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
(2022)
Article
Business
Nayeong Kim, Dongmin Lee, Seonghwan Cho, Junghoon Moon
Summary: This study investigates the impact of exclusive distribution on sales for online retailers, and the moderating effects of product assortment and within-category competitive intensity. Panel data for 3285 ready-made meal products were analyzed from a leading online grocery retailer in Korea. The results indicate that exclusive distribution increases sales, especially when there is greater product depth and within-category competition. These findings have important implications for retailers adopting an exclusive distribution strategy and contribute to the literature on online retail.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Xianwei Liu, Juan Luis Nicolau, Rob Law, Chunhong Li
Summary: This study critically reflects on the application of image recognition techniques in the hospitality and tourism industry, focusing on object recognition and facial recognition. The study highlights the high accuracy and efficiency of image recognition technology, emphasizing its importance in business practices in this industry.
INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Shun Ye, Sut Ieng Lei, Xiaoyou Zhao, Lin Zhu, Rob Law
Summary: This study examines how travelers form their preferences between traditional hotels and peer-to-peer sharing accommodation in urban tourism, and explores whether and how their preference formation mode changes with the COVID-19 pandemic. By comparing survey data before and after the pandemic, a relative preference model is constructed and estimated, revealing the evolution of preference formation patterns and their differential effects on domestic and outbound tourists. The findings provide insights for both hotel and sharing accommodation practitioners to enhance their competitiveness.
INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Shaogui Xu, Yifan Zuo, Sirong Chen, Rob Law, Mu Zhang
Summary: This study investigates the mechanism behind the occupational stigma perception (OSP) of tour guides and the impact of interpersonal deviance (ID) towards tourists based on affective event theory. The findings suggest that OSP has a significantly positive effect on ID. Job embeddedness (JE) partially mediates the relationship between OSP and ID. Job tenure (JT) plays a negative moderating role between OSP and JE. Additionally, the mediating role of JE between OSP and ID decreases with an increase in job tenure.
INTERNATIONAL JOURNAL OF TOURISM RESEARCH
(2023)
Article
Automation & Control Systems
Yang Xiu, Hongbin Deng, Dongfang Li, Miaomiao Zhang, Rob Law, Yun Huang, Edmond Q. Wu, Xin Xu
Summary: This paper presents a finite-time sideslip differentiator-based line-of-sight (LOS) guidance method for robust path following of snake robots. The proposed differentiator accurately observes the cross-track error and sideslip angle, while the designed piecewise auxiliary function ensures the finite-time stability. A Barrier Lyapunov function-based backstepping adaptive path following controller is also introduced to improve the robot's robustness.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2023)
Article
Social Sciences, Interdisciplinary
Fan Cheong, Rob Law
Summary: Hotel managers and researchers are increasingly interested in AI and robots, which are vital to the future of the hospitality industry. However, there are challenges in adopting robotic services due to the current state of the art and insufficient understanding of the relationship between customer satisfaction and robotic services. This study examines customer perceptions and satisfaction with smart hotels during COVID-19, providing helpful guidance for hoteliers to apply high technology in the service environment and improve competition and guest experience.
COGENT SOCIAL SCIENCES
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Huy Quan Vu, Shah Jahan Miah, Haiyang Xia, Gang Li, Birgit Muskat, Rob Law
Summary: The aim of this research is to assess the reliability of venue check-in data in understanding resident mobility in tourist destinations. The study presents an analytical approach to assess and demonstrate how venue-referenced social media data (VR-SMD) can be used to capture resident movement and activities. The results indicate that VR-SMD can be exploited for domestic tourism development.
INFORMATION TECHNOLOGY & TOURISM
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Huiyue Ye, Sirong Chen, Rob Law, Mu Zhang
Summary: Drawing on protection motivation theory, this study explored how Chinese outbound tourists perceived three significant travel risks - natural disasters, infectious diseases, and social instability. The study found that Chinese outbound tourists are likely to alter their travel plans when faced with travel risks, with particular concern for infectious diseases and social instability. Additionally, students perceived a higher level of threat and response efficacy compared to non-workers. Assistance from the Chinese government can greatly enhance tourists' confidence in traveling abroad. Implications are discussed accordingly.
JOURNAL OF CHINA TOURISM RESEARCH
(2023)
Article
Engineering, Civil
Tian-Yu Zuo, Xiaosong Luo, Weishun Deng, Poly Z. H. Sun, Rob Law, Edmond Q. Wu
Summary: In the context of establishing emission control areas (ECAs) to tackle air pollution, the use of drone-carrying sniffers as a new monitoring mode for ECAs is gaining attention. This study proposes a rental-based drone operation model to consider the influence of vessel traffic on drone demand. The model maximizes the cumulative monitoring reward and minimizes the use number of drones within a minimum monitoring rate constraint. It is modeled as a multi-objective drone scheduling problem (MDSP) and four feasible multi-objective optimization methods are designed to solve MDSP.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Jiuchao Qian, Minting Pan, Wei Tong, Rob Law, Edmond Q. Wu
Summary: This paper discusses the importance of vehicle Re-Identification (Re-ID) technology and proposes a new end-to-end framework URRNet, which integrates global and local features to improve recognition accuracy. The framework utilizes global feature graph-structure learning and multi-scale local feature relational reasoning algorithms to preserve vehicle details and tackle viewpoint variation.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Book Review
Hospitality, Leisure, Sport & Tourism
Ke Zhang, Rob Law
ANATOLIA-INTERNATIONAL JOURNAL OF TOURISM AND HOSPITALITY RESEARCH
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Sirong Chen, Irene Cheng Chu Chan, Shaogui Xu, Rob Law, Mu Zhang
Summary: This study conducts in-depth interviews with 19 representative metaverse tourism stakeholders and reveals that the factors driving the development of metaverse tourism include planning and management, economic, sociocultural, and technological factors, and recognition and acceptance, whereas the hindrances mainly come from the government, industry, tourists, local communities, and educational institutions. The study provides theoretical and practical contributions.
JOURNAL OF TRAVEL & TOURISM MARKETING
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Chunhong Li, Lingfei Deng, Rob Law
Summary: With the rapid development of sharing economy, meal-sharing platforms are inclined to cooperate with online travel agencies (OTAs) to expand their influence, but the consequences of such integration remain unclear. This study used expectation disconfirmation theory (EDT) and dataset from EatWith to conduct empirical analyses with a difference-in-differences (DID) research design. The results indicate that the integration of a meal-sharing platform with an OTA brings more tourists to hosts but leads to a decrease in ratings. The study highlights the double-blade effect of platform integration, emphasizing the need for attention and balance from hosts, platform managers, and the industry.
JOURNAL OF TRAVEL & TOURISM MARKETING
(2023)
Article
Automation & Control Systems
Guangyu Zhu, Liang Mu, Ranran Sun, Nuo Zhang, Bo Wu, Peng Zhang, Rob Law
Summary: This study proposes an emergency control method for multi-modal passenger flow in urban rail transit, which comprehensively considers the operation cost and passenger travel efficiency. Through techniques such as train scheduling, train operation and passenger travel synergy, as well as deep reinforcement learning, the method enables emergency perception and control of passenger flow. The simulation results demonstrate the effectiveness of the proposed method in improving passenger travel efficiency and reducing operation cost.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Civil
Dongfang Li, Jiechao Zhou, Jie Huang, Dali Zhang, Ping Li, Rob Law, Edmond Q. Wu
Summary: This study presents a path-following scheme for UAVs using radial basis neural network (RBNN) to eliminate the influence of nonlinear state terms and improve the aircraft's ability to suppress wind field interferences. The method balances the influence of system uncertainty and nonlinear state terms on UAV modeling and reduces the dependence of roll and pitch control orders on attitude velocity information.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Xiaoxiao Shen, Shi-Chang Du, Yan-Ning Sun, Poly Z. H. Sun, Rob Law, Edmond Q. Wu
Summary: This study investigates the advance scheduling problem for first visit and revisit patients in chronic care. A stochastic mixed-integer programming model is formulated and a modified progressive hedging algorithm is proposed to obtain rolling time advance schedules. The results demonstrate the effectiveness of the algorithm and suggest a capacity allocation scheme with both offline and online capacities for cost savings.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
