Review
Green & Sustainable Science & Technology
George Stalidis, Iphigenia Karaveli, Konstantinos Diamantaras, Marina Delianidi, Konstantinos Christantonis, Dimitrios Tektonidis, Alkiviadis Katsalis, Michail Salampasis
Summary: In recent years, recommendation systems have become increasingly important in the explosive growth of e-commerce and mobile shopping. They not only contribute to increased sales and customer satisfaction, but also have the potential to promote environmentally friendly products and strengthen policies and campaigns. Current research focuses on enhancing e-shops and improving sustainable digital marketing and personalized promotion in the context of retail shopping.
Article
Multidisciplinary Sciences
Amjad Ur Rehman, Shahid Bashir, Asif Mahmood, Haroon Karim, Zameer Nawaz
Summary: This research enhances the understanding of customer behavior by examining the relationships between e-shopping service quality and drivers, as well as the moderating role of offline brand trust in e-shopping intention and adoption.
Article
Social Issues
Min Zhou, Jinlong Huang, Kexin Wu, Xin Huang, Nan Kong, Kathryn S. Campy
Summary: The study proposed an extended theoretical model from UTAUT2 to investigate the factors influencing consumers' adoption of live e-commerce shopping. Performance expectancy, effort expectancy, hedonic motivation, habit, and trust were found to significantly impact consumers' behavioral intention, while social influence and price value were not significant factors. Facilitating conditions, habit, trust, and behavioral intention were significant determinants of use behavior towards live e-commerce shopping. Demographic variables such as gender, age, education, and income also played significant moderating roles in the theoretical model.
TECHNOLOGY IN SOCIETY
(2021)
Article
Business
Anett Erdmann, Jose M. Ponzoa
Summary: This research examines the cost-result relationship of Inbound Marketing actions used by grocery ecommerce, analyzing the mix of SEO and SEM techniques among 29 leading companies over a six-year period. The results suggest that ecommerce is optimizing Digital Inbound Marketing in accordance with an established model, although differences were identified based on format type (pure player versus brick and mortar) and country level (UK and USA versus others).
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Information Science & Library Science
Sunil Sahadev, Sean Chung, Mustafeed Zaman, Indria Handoko, Tan Vo-Thanh, Nguyen Phong Nguyen, Rajeev Kumra
Summary: This study contributes to the understanding of deep eWOM providing behavior in m-commerce by exploring the impact of personalization, value perceptions, and personal identification. It highlights the importance of deep eWOM providing behavior and its antecedents.
INFORMATION TECHNOLOGY & PEOPLE
(2023)
Article
Green & Sustainable Science & Technology
Aurelija Burinskiene
Summary: The author designs an e-commerce transport system to identify the best locations for warehouses to increase efficiency. The selection of the main warehouse location depends on returns level and distance calculation metrics, which could help reduce transport delivery costs for customers.
Article
Mathematics, Interdisciplinary Applications
Chenlei Xue, Qunqi Wu, Maopeng Sun, Pengxia Bai, Yang Chen
Summary: The study found that e-shopping motivates shopping trips, while in-store shopping inhibits online shopping. E-shopping and shopping travel behavior vary across different exogenous factors.
Article
Business
Tao Zhang, Zhongjun Tang, Zhongya Han
Summary: This study uses game theoretical models to analyze whether a multinational firm should open a live streaming shopping sales channel on an overseas e-commerce platform. The study explores the optimal online channel structure to maximize post-tax profit and analyzes the impact on supply chain members and performance. The findings suggest that opening a live streaming shopping sales channel can benefit the multinational firm in terms of profit and sales, but may harm the profit of the overseas online retail division and third-party e-retailer.
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
(2022)
Article
Business
Elena Higueras-Castillo, Francisco J. Liebana-Cabanillas, Angel F. Villarejo-Ramos
Summary: This research aims to analyze the factors driving and hindering the intention to use online channels and its implications for physical channels. The UTAUT2 model was modified and the CHAID method was used to identify the relevant segments of e-commerce consumers and physical shoppers in the post-COVID-19 era. The results confirm differences in the adoption of electronic channels between the two countries, the limited influence of socio-demographic variables on intention, and the importance of behavioral variables in defining the segments. Strategic recommendations are provided to improve the intention to use e-commerce platforms for each identified group.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Fang Cui, Haihua Hu, Ying Xie
Summary: This paper constructs an e-commerce product marketing model based on machine learning algorithms, proposes improved Q-learning and Interval-Q algorithms, and introduces a DQN model based on dual networks in direct marketing scenarios. The precision marketing model constructed in the study has shown promising results and practical applicability.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Business
David E. Williams, Brooklyn Willick
Summary: This paper examines the impact of parents' strategies on children's e-commerce purchases through co-shopping and consumer socialization. It reveals the unique ways in which parents influence their children's e-commerce research and extends the findings on co-shopping from physical stores to online platforms. The study provides valuable insights into how e-tailers can leverage children's influence on e-commerce purchases and mothers' responses to them. It is the first study to analyze parental strategies in the modern internet era.
ELECTRONIC COMMERCE RESEARCH
(2023)
Article
Business
Monika Kukar-Kinney, Angeline Close Scheinbaum, Larry Olanrewaju Orimoloye, Jeffrey R. Carlson, Heping He
Summary: This research examines the behavior of online consumers in the context of e-commerce, specifically focusing on their use of online shopping carts and subsequent cart abandonment. By developing a model based on Uses and Gratifications Theory, the Unified Theory of Acceptance and Use of Technology, and the purchase funnel concept, the study explains the predicted relationships. Empirical findings reveal that returning to an existing cart increases future use and decreases cart abandonment, while viewing clearance pages and a large number of product reviews increase both cart use and abandonment. Browsing product pages decreases cart use, but increases abandonment. The role of smartphone-based shopping is also explored, with the effects primarily appearing early in the purchase funnel and influencing use more significantly than abandonment. The study contributes to theory and provides implications for digital marketers.
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE
(2022)
Article
Business
Adrian-Liviu Scutariu, Stefanita Susu, Catalin-Emilian Huidumac-Petrescu, Rodica-Manuela Gogonea
Summary: The planning and behavior of e-commerce enterprises have been impacted by the COVID-19 pandemic. Analysis of different variables reveals varying patterns of e-commerce activity among different countries. The results show diverse trends in different indicators across countries. The conclusion emphasizes the need for continuous development of e-commerce enterprise behavior to meet the demands of online customers.
JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH
(2022)
Article
Construction & Building Technology
Kostas Mouratidis, Apostolos Papagiannakis
Summary: The study shows that during the COVID-19 pandemic, the importance and frequency of remote work, remote meetings, online learning, telehealth, and online shopping significantly increased. This resulted in more people engaging in these activities daily.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Mathematics
Benfang Yang, Jiye Li
Summary: With the development of computer technology and the era of artificial intelligence, analyzing user demand bias is crucial for optimizing e-commerce platforms. This research focuses on operator user portraits, using various data sources and data mining techniques to develop implementation schemes. The study demonstrates the application value of this research in precision marketing and personalized services for operators.
JOURNAL OF MATHEMATICS
(2022)
Article
Economics
Jiawen Yang, Jason Cao, Yufei Zhou
Summary: Using gradient boosting decision trees, this study examines the irregularly non-linear associations between the built environment and urban vitality in Shenzhen, revealing non-linear synergies between high-quality transit and supportive land development.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Environmental Studies
Dewei Fang, Yang Xue, Jason Cao, Shan Sun
Summary: The study reveals the asymmetric relationships between transit attributes and rider satisfaction, emphasizing the critical attributes for both choice and captive riders in ensuring overall satisfaction. Planners need to consider the varying needs of different population groups and set different goals to satisfy choice and captive riders.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Economics
Chuan Ding, Xinyu Cao, Bin Yu, Yang Ju
Summary: Study finds non-linear and spatially heterogeneous relationships between built environment attributes and transit commuting. Suggests focusing on densification and mixed-use in urban planning, while ensuring transit supply exceeds a certain threshold for effectiveness.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Environmental Studies
Jiangbin Yin, Xinyu (Jason) Cao, Xiaoyan Huang
Summary: The study found that subway is positively associated with life satisfaction through its links with quality of transit service, walkability, accessibility, and travel satisfaction. It suggests that station area planning and design need to be coordinated with subway deployment to maximize well-being benefits of subway. Rail transit is a more impactful instrument for well-being enhancement in developing countries than in developed countries.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Urban Studies
Guangliang Xi, Xinyu Cao, Feng Zhen
Summary: Local store shopping is a catalyst for social interactions among neighbors. However, the rise of same-day-delivery online shopping has altered these interactions. While SDD online shopping has a negative impact on casual interactions with neighbors, it has a positive impact on organized social gatherings. Additionally, it weakens weak ties and strengthens strong ties in the neighborhood, potentially undermining community vitality and social cohesion.
Article
Regional & Urban Planning
Tao Tao, Jason Cao, Xinyi Wu
Summary: This study quantifies the impact of rail transit on vehicular traffic using a quasi-experimental research design, finding that rail transit initially serves as a substitute for automobile traffic but the substitution effect gradually decreases over time.
JOURNAL OF PLANNING EDUCATION AND RESEARCH
(2021)
Article
Environmental Studies
Qifan Shao, Wenjia Zhang, Xinyu (Jason) Cao, Jiawen Yang
Summary: This study examines the relationship between the built environment and car ownership in smaller cities in developing countries, with a focus on the nonlinear and interaction effects. Using data from Zhongshan, China in 2019, the study finds that wealth plays a crucial role in households' car ownership decisions, and there are threshold associations between the built environment variables and car ownership.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Environmental Studies
Liang Ma, Yage Liu, Jason Cao, Runing Ye
Summary: The COVID-19 pandemic lockdown has affected people's travel behavior, with different impacts on different population groups. The rise in anti-Asian racism suggests that Asians have faced increased stress during the pandemic, leading to a different impact on their travel behavior compared to other racial groups. This study finds that Asians experienced higher levels of discrimination and were less likely to increase walking compared to White people. Additionally, neighborhood cohesion helped alleviate perceived discrimination and promote walking.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Economics
Tao Tao, Jason Cao
Summary: Illustrating the associations between built environment characteristics and autonomous vehicle (AV) ownership is important for policymakers to understand the emergence of AVs and their impacts on society. However, there is limited research on the spatial perspective of interest in AV ownership. This study used regional travel survey data from the Twin Cities and applied the gradient boosting decision tree method to test three hypotheses related to respondents' interest in owning AVs. The results showed that the motivation for owning AVs is primarily driven by the innovation-diffusion hypothesis, followed by preference for efficiency and modal substitution. The associations between AV ownership interest and built environment variables suggest a preference for efficiency rather than innovation diffusion and modal substitution. Population density, road connectivity, and land use entropy are negatively associated with the interest. These findings provide suggestions for addressing the externalities of AVs in different areas.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Urban Studies
Lingyun Fan, Jason Cao, Miaomiao Hu, Chun Yin
Summary: This study explores the relative importance and nonlinear associations between neighborhood characteristics and life satisfaction among resettled senior farmers in Suzhou, China. The results reveal that social interaction and outdoor space play a critical role in improving the well-being of elderly farmers.
Article
Environmental Studies
Chuan Ding, Tiantian Liu, Xinyu Cao, Li Tian
Summary: This study, using household travel data in Beijing, found that renters are more sensitive to access to transit, and the combined contributions of bus stop density and distance to metro station have a significant impact on renters' commuting by transit. In addition, most variables show non-linear effects on commuting by transit.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Economics
Bindong Sun, Jiahang Liu, Chun Yin, Jason Cao
Summary: Enhancing people's life satisfaction is the ultimate goal of efforts to build happy cities. This study examines the relationship between life satisfaction and perceived environmental elements in residential and workplace neighborhoods, and finds that the residential environment has a greater impact on life satisfaction than the workplace environment. Factors such as environmental quality, social capital, and accessibility contribute to life satisfaction in different neighborhoods. Perceived environmental elements can influence life satisfaction by affecting commute satisfaction and neighborhood satisfaction.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Economics
Yan Huang, Liang Ma, Jason Cao
Summary: This study examines the impact of high-speed rail (HSR) on air quality in China using longitudinal data. The findings show that HSR has a positive effect on national air quality due to its spillover effects on the environment. However, the regional effects of HSR vary, with positive and negative impacts depending on the socio-economic conditions of the regions.
JOURNAL OF TRANSPORT GEOGRAPHY
(2023)
Article
Economics
Chun Yin, Jason Cao, Bindong Sun, Jiahang Liu
Summary: This study utilized gradient boosting decision trees to examine the correlations between the built environment and the durations of utilitarian walking and recreational walking in Shanghai, China. The results indicated that the built environment had a stronger predictive power for utilitarian walking, while socio-demographics played a more significant role in recreational walking. Land use mix and distance to the city center were important factors for predicting walking, with opposite effects on utilitarian versus recreational walking. These findings lend support to the theory of a physical activity budget.
JOURNAL OF TRANSPORT GEOGRAPHY
(2023)
Article
Regional & Urban Planning
Tao Tao, Xinyi Wu, Jason Cao, Yingling Fan, Kirti Das, Anu Ramaswami
Summary: This study uses Gradient Boosting Decision Trees to explore the nonlinear relationships between the built environment and active travel in the Twin Cities. It found that the built environment has more predictive power for active travel than demographics, and parks, proximity to downtown, and transit access have important influences. The threshold effects of built environment variables provide insights for planning practice.
JOURNAL OF PLANNING EDUCATION AND RESEARCH
(2023)
Article
Economics
Valeria Bernardo, Xavier Fageda, Jordi Teixido
Summary: The study finds that flight ticket taxes have a significant impact on low-cost airlines' supply and carbon emissions, resulting in a decrease of 12% in the number of flights and a 14% reduction in carbon emissions. Additionally, the burden of the taxes is higher for passengers paying low fares, affecting avoidable flights more significantly.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Xingxing Fu, Dea van Lierop, Dick Ettema
Summary: This study investigates the relationship between multimodality and perceived transport adequacy and accessibility. The results show that multimodality is burdensome, especially for car-dependent individuals, and leads to lower perceived achievement or accessibility for those with limited access to a car.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Henrik Johansson Rehn, Lars E. Olsson, Margareta Friman
Summary: This paper presents the Framework of RoUtIne Transitions in daily travel (FRUIT), which analyzes the impact of life events on travel behavior changes and identifies the critical phases in this process. By integrating theories and concepts, the framework provides a theoretical basis for interventions aimed at improving sustainable travel. The applicability of FRUIT is illustrated through an empirical case, and the implications for future research and policy are discussed.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Peng-Cheng Xu, Qing-Chang Lu, Chi Xie, Taesu Cheong
Summary: This study investigates the resilience evaluation of interdependent networks. A model is developed to quantify the impacts of network interdependency on the resilience of interdependent transit networks, considering interdependency relations, network topology, flow characteristics, and demand distribution. The model is applied to the metro and bus networks of Xi'an, China. Results show that node degree heterogeneity in topology, bidirectional function dependency among networks, and flow matching between networks are important factors influencing network resilience.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Jeppe Rich, James Fox
Summary: Many transport models allocate all costs to the car driver without considering the cost sharing among passengers. This paper questions this premise and argues that cost sharing can occur in various forms, which should be properly accounted for in transport models. The empirical evidence from Denmark suggests that not accounting for cost sharing may result in biased cost elasticities and occupancy rates.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Jorik Grolle, Barth Donners, Jan Anne Annema, Mark Duinkerken, Oded Cats
Summary: High-speed rail is considered a promising alternative for long-distance travel, but the current state of the European HSR network is poorly connected. This study presents a customized version of network design and frequency setting problem for HSR, and analyzes the performance under various policies and design variables. The results show that considering externalities leads to more extensive networks and mode shifts, but requires high public investments. The importance of network integration and cross-border cooperation is highlighted. The findings aim to contribute to the design of an attractive and competitive European HSR network.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Mounisai Siddartha Middela, Gitakrishnan Ramadurai
Summary: This study addresses the research gaps in understanding the effect of regression models, measurement period, and spatial dependence on Freight Trip Generation (FTG) modeling and freight-related policies. The results show that the spatial Zero-Inflated Negative Binomial (ZINB) model is the best for daily and weekly Freight Trip Production (FTP), while the non-spatial Negative Binomial (NB) model is the best for daily and weekly Freight Trip Attraction (FTA). The study also highlights the importance of considering spatial dependence and using count models with a week as the measurement period.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)