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Keywords = mobile live commerce

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3 pages, 128 KiB  
Editorial
Editorial: Deep Learning and Edge Computing for Internet of Things
by Shaohua Wan and Yirui Wu
Appl. Sci. 2024, 14(23), 11063; https://doi.org/10.3390/app142311063 - 28 Nov 2024
Cited by 1 | Viewed by 1149
Abstract
The evolution of 5G and Internet of Things (IoT) technologies is leading to ubiquitous connections among humans and their environment, such as autopilot transportation, mobile e-commerce, unmanned vehicles, and healthcare applications, bringing revolutionary changes to our daily lives [...] Full article
(This article belongs to the Special Issue Deep Learning and Edge Computing for Internet of Things)
13 pages, 2895 KiB  
Article
Improved Lightweight Multi-Target Recognition Model for Live Streaming Scenes
by Zongwei Li, Kai Qiao, Jianing Chen, Zhenyu Li and Yanhui Zhang
Appl. Sci. 2023, 13(18), 10170; https://doi.org/10.3390/app131810170 - 10 Sep 2023
Viewed by 1622
Abstract
Nowadays, the commercial potential of live e-commerce is being continuously explored, and machine vision algorithms are gradually attracting the attention of marketers and researchers. During live streaming, the visuals can be effectively captured by algorithms, thereby providing additional data support. This paper aims [...] Read more.
Nowadays, the commercial potential of live e-commerce is being continuously explored, and machine vision algorithms are gradually attracting the attention of marketers and researchers. During live streaming, the visuals can be effectively captured by algorithms, thereby providing additional data support. This paper aims to consider the diversity of live streaming devices and proposes an extremely lightweight and high-precision model to meet different requirements in live streaming scenarios. Building upon yolov5s, we incorporate the MobileNetV3 module and the CA attention mechanism to optimize the model. Furthermore, we construct a multi-object dataset specific to live streaming scenarios, including anchor facial expressions and commodities. A series of experiments have demonstrated that our model realized a 0.4% improvement in accuracy compared to the original model, while reducing its weight to 10.52%. Full article
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32 pages, 4874 KiB  
Review
Two Decades of M-Commerce Consumer Research: A Bibliometric Analysis Using R Biblioshiny
by Packiaraj Thangavel and Bibhas Chandra
Sustainability 2023, 15(15), 11835; https://doi.org/10.3390/su151511835 - 1 Aug 2023
Cited by 48 | Viewed by 6392
Abstract
The aim of this study is to consolidate the state of mobile commerce consumer research from 2001 to 2022. Based on a systematic literature review employing a bibliometric technique, this study not only reports the significant contributions of authors and their affiliations but [...] Read more.
The aim of this study is to consolidate the state of mobile commerce consumer research from 2001 to 2022. Based on a systematic literature review employing a bibliometric technique, this study not only reports the significant contributions of authors and their affiliations but also discusses the evolution of m-commerce research over the last two decades. Examination of annual production trends revealed that publications were on the rise all along; the year 2022 clocked the highest number of publications (53 documents), which further reinforces that the research on this domain is in its blooming season. China is the most contributing country in terms of the number of publications and citations received, followed by the USA. The author Keng-Boon Ooi has been the most productive researcher; his studies continue to be the foundation on which m-commerce consumer research continues to thrive. The analysis of scientific mapping revealed that, although many studies were carried out on mobile commerce adoption intention, the focus of the researchers lately shifted towards studying continuous use intention (since 2018). Further, it was observed that the base theory, the Technology Acceptance Model, which has been widely used for determining antecedents of technology adoption intention, is losing its significance and is being overtly replaced by the Unified Theory of Acceptance and Use of Technology. While the topics “trust, loyalty, satisfaction, mobile banking, UTAUT, continuance intention, perceived enjoyment, and COVID-19” were identified as mother (engine) themes, the keywords “privacy, self-efficacy, social influence, TAM, attitude, and intention to use” became diminishing themes. The following topics have been identified as emerging themes: “Mobile social commerce, Mobile payment, Mobile marketing, Omnichannel, Fintech, and Live streaming commerce”. This study provides useful insights to potential researchers. Full article
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13 pages, 413 KiB  
Article
The Influence of Characteristics of Mobile Live Commerce on Purchase Intention
by Chae Hyun Lee, Han Na Lee and Jeong Il Choi
Sustainability 2023, 15(7), 5757; https://doi.org/10.3390/su15075757 - 25 Mar 2023
Cited by 9 | Viewed by 3938
Abstract
Mobile live commerce is emerging as a new distribution channel as connectivity and information sharing become easier due to the increase in the use of SNS and mobile phones. Nevertheless, there is a lack of research in this field, and it is meaningful [...] Read more.
Mobile live commerce is emerging as a new distribution channel as connectivity and information sharing become easier due to the increase in the use of SNS and mobile phones. Nevertheless, there is a lack of research in this field, and it is meaningful to look at how this new technology-based commerce leads to purchase intention in terms of the value of shopping perceived by consumers. This study aims to (1) analyze the characteristic factors of mobile live commerce, which is rapidly emerging due to brisk changes in the distribution industry in the non-contact era; and (2) verify the relationship between shopping value and purchase intention. We analyzed 283 surveys using partial least squares structural equation modeling (PLS-SM) with statistical product and service solutions (SPSS) and R-programming. We inferred that convenience, ubiquity, social presence, attractiveness, and vividness were the characteristics of mobile live commerce that had a positive effect on the pleasure value, and that social presence, attractiveness, vividness, professionalism, information quality, and compatibility had positive effects on the perceived value. The hedonic value also had a positive effect on the perceived value, and both pleasure and perceived values had strong positive effects on the purchase intention. However, the professionalism of the sources did not affect the hedonic value, and the convenience and ubiquity did not affect the perceived value. Full article
(This article belongs to the Section Sustainable Management)
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20 pages, 1709 KiB  
Article
A Data-Science Approach for Creation of a Comprehensive Model to Assess the Impact of Mobile Technologies on Humans
by Magdalena Garvanova, Ivan Garvanov, Vladimir Jotsov, Abdul Razaque, Bandar Alotaibi, Munif Alotaibi and Daniela Borissova
Appl. Sci. 2023, 13(6), 3600; https://doi.org/10.3390/app13063600 - 11 Mar 2023
Cited by 3 | Viewed by 2248
Abstract
Mobile technologies are an essential part of people’s everyday lives since they are utilized for a variety of purposes, such as communication, entertainment, commerce, and education. However, when these gadgets are misused, the human body is exposed to continuous radiation from the electromagnetic [...] Read more.
Mobile technologies are an essential part of people’s everyday lives since they are utilized for a variety of purposes, such as communication, entertainment, commerce, and education. However, when these gadgets are misused, the human body is exposed to continuous radiation from the electromagnetic field created by them. The communication services available are improving as mobile technologies advance; however, the problem is becoming more severe as the frequency range of mobile devices expands. To solve this complex case, it is necessary to propose a comprehensive approach that combines and processes data obtained from different types of research and sources of information, such as thermal imaging, electroencephalograms, computer models, and surveys. In the present article, a complex model for the processing and analysis of heterogeneous data is proposed based on mathematical and statistical methods in order to study the problem of electromagnetic radiation from mobile devices in-depth. Data science selection/preprocessing is one of the most important aspects of data and knowledge processing aiming at successful and effective analysis and data fusion from many sources. Special types of logic-based binding and pointing constraints are considered for data/knowledge selection applications. The proposed logic-based statistical modeling method provides both algorithmic as well as data-driven realizations that can be evolutionary. As a result, non-anticipated and collateral data/features can be processed if their role in the selected/constrained area is significant. In this research, the data-driven part does not use artificial neural networks; however, this combination was successfully applied in the past. It is an independent subsystem maintaining control of both the statistical and machine-learning parts. The proposed modeling applies to a wide range of reasoning/smart systems. Full article
(This article belongs to the Special Issue Data Analysis and Mining)
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23 pages, 2468 KiB  
Article
E-Commerce Parcel Distribution in Urban Areas with Sustainable Performance Indicators
by Riharsono Prastyantoro, Heru Purboyo Hidayat Putro, Gatot Yudoko and Puspita Dirgahayani
Sustainability 2022, 14(23), 16229; https://doi.org/10.3390/su142316229 - 5 Dec 2022
Cited by 5 | Viewed by 3563
Abstract
E-commerce transactions have increased during the pandemic as people living in urban areas turn to buy goods online rather than offline. A two-echelon distribution system using parcel mobile hubs (PMHs) with small vehicles can increase operational cost efficiency and reduce greenhouse gas emissions. [...] Read more.
E-commerce transactions have increased during the pandemic as people living in urban areas turn to buy goods online rather than offline. A two-echelon distribution system using parcel mobile hubs (PMHs) with small vehicles can increase operational cost efficiency and reduce greenhouse gas emissions. The originality of this study is in building and testing a conceptual framework for selecting PMH locations with three variables (parcel distribution, internet quota for e-commerce, and center of e-buyer) and two constraints (space availability and traffic flow). Spatial analysis is used as a method to test the conceptual framework with a parcel distribution database from Bandung. As a city whose profile represents urban areas in developing countries well, Bandung is chosen as a case study. The proportion of distance to variables and the outermost point of each cluster is less than 10%, which proves that the three variables are correlated. This study proves that the selection of PMH locations based on this conceptual framework results in better sustainable performance compared to existing conditions. Using PMHs combined with city freighters can reduce operational costs by 19.7% and prevent 3.4 tons of CO2 emissions per year with conventional motorcycles and 7.2 tons of CO2 emissions per year with electric motorcycles or scooters. Full article
(This article belongs to the Special Issue Sustainable Last Mile Delivery and Returns on E-Commerce Market)
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22 pages, 1793 KiB  
Article
The Determinants of Purchase Intention on Agricultural Products via Public-Interest Live Streaming for Farmers during COVID-19 Pandemic
by Zhiyuan Yu and Kun Zhang
Sustainability 2022, 14(21), 13921; https://doi.org/10.3390/su142113921 - 26 Oct 2022
Cited by 22 | Viewed by 7435
Abstract
In order to sell unmarketable products and alleviate farmers’ economic difficulties caused by the COVID-19 pandemic, public-interest livestreaming for farmers with the property of altruism has been emerging as a new way of mobile commerce and has attracted a huge amount of attention [...] Read more.
In order to sell unmarketable products and alleviate farmers’ economic difficulties caused by the COVID-19 pandemic, public-interest livestreaming for farmers with the property of altruism has been emerging as a new way of mobile commerce and has attracted a huge amount of attention among Chinese consumers. In this paper, based on the theory of reasoned action, we intend to explore the influencing factors from the levels of the platform, product, and consumer that affect consumers’ attitudes and purchase intentions towards agricultural products via public-interest livestreaming. We have collected 475 valid responses from Chinese consumers (especially from youth) who experienced the public-interest livestreaming for farmers and then constructed a structural equation model using the partial least-squares method. The results show that consumers’ attitudes towards agricultural products have a significant positive impact on their purchase intentions with respect to livestreaming. Perceived interactivity, perceived endorsement, product familiarity, subjective norms, altruistic value, and the livestream shopping experience all significantly positively affected consumers’ attitudes toward the agricultural products in the mobile livestreaming. Moreover, subjective norms can also directly impact consumers’ purchase intentions. We can see that the proposed influencing factors from the platform, product, and consumer levels provide a better explanation of the attitudes and purchase intentions, respectively. This paper aims to expand the empirical research on the purchase intentions of agricultural products and then to provide insights into the phenomenon of public-interest livestreaming during COVID-19, which can assist farmers in addressing the dilemma caused by the epidemic and promote rural economic development by mobile commerce. Additionally, the insights from this case study in China can also be extended to other countries where farmers have suffered from the impact of COVID-19. Full article
(This article belongs to the Special Issue Consumer Behavior and Sustainability in the Electronic Commerce)
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16 pages, 1426 KiB  
Article
Korean Fashion and Beauty Livestreaming Commerce before and after COVID-19
by RakGun Hwang and MinKyung Lee
Businesses 2022, 2(3), 339-354; https://doi.org/10.3390/businesses2030022 - 29 Aug 2022
Cited by 2 | Viewed by 7338
Abstract
From the perspective of live commerce consumers in South Korea, this study aimed to investigate the changes in consumer interest since the onset of the coronavirus disease 2019 (COVID-19) pandemic. To this end, a consumer perception survey on live commerce was conducted. Further, [...] Read more.
From the perspective of live commerce consumers in South Korea, this study aimed to investigate the changes in consumer interest since the onset of the coronavirus disease 2019 (COVID-19) pandemic. To this end, a consumer perception survey on live commerce was conducted. Further, this study utilized social big data analytics, which involved collecting posts and articles from Korean portal sites for the 2019–2020 period and then analyzing them through text mining. The results revealed that, before the outbreak of COVID-19, the keyword “mobile” showed high appearance frequency and high connection centrality. “Fashion” and “beauty,” which are classified as subcategories of live commerce in Korea, also appeared as top keywords, both before and after the onset of COVID-19. Considering the social environment and characteristics of live commerce, providing services that enable consumers to participate in the streaming platform more actively is necessary. Additionally, providing services that encourage customers to respond would also be desirable. This study’s findings can serve as baseline data for the development of an extension plan for the Korean fashion and beauty industry through live commerce and can provide insight into the consumption patterns of consumers of live commerce. Full article
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22 pages, 1094 KiB  
Article
Assessing the Effects of the COVID-19 Pandemic on M-Commerce Adoption: An Adapted UTAUT2 Approach
by Simona Vinerean, Camelia Budac, Lia Alexandra Baltador and Dan-Cristian Dabija
Electronics 2022, 11(8), 1269; https://doi.org/10.3390/electronics11081269 - 17 Apr 2022
Cited by 109 | Viewed by 9787
Abstract
The COVID-19 pandemic has impacted consumers’ lives and their shopping patterns, leading them towards mobile commerce. To address current shopping circumstances, an adapted UTAUT2 model aims to integrate trust and perceptions of the effects of the COVID-19 pandemic on consumers’ behavioral intention to [...] Read more.
The COVID-19 pandemic has impacted consumers’ lives and their shopping patterns, leading them towards mobile commerce. To address current shopping circumstances, an adapted UTAUT2 model aims to integrate trust and perceptions of the effects of the COVID-19 pandemic on consumers’ behavioral intention to rely on m-commerce during this period. The study proposes a research model which is investigated with the help of structural equation modelling in AMOS. Using the framework of a cross-sectional study, data were collected from an emerging market in Romania, where internet speed ranks 4th worldwide and where the yearly increase in internet and social media users is approximately 10%. By using confirmatory factor analysis and structural equation modelling, the research validates the applicability of UTAUT2 in examining consumers’ behavioral intent of using m-commerce during a pandemic. Hedonic motivation is the strongest predictor of consumers’ behavioral intentions to continue using m-commerce. The findings contribute to understandings of consumers’ behavior with m-commerce in an emerging market, extending knowledge based on the adapted UTAUT2 model and allowing for comprehension of the key role of trust and social influences in affecting consumers’ perceptions of the COVID-19 outbreak in relation to shopping patterns. Full article
(This article belongs to the Special Issue Impact of COVID-19 on Multimedia Transformation)
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14 pages, 1223 KiB  
Article
The Impact of COVID-19 on the Food Supply Chain and the Role of E-Commerce for Food Purchasing
by Ashraf Ud Din, Heesup Han, Antonio Ariza-Montes, Alejandro Vega-Muñoz, António Raposo and Shruti Mohapatra
Sustainability 2022, 14(5), 3074; https://doi.org/10.3390/su14053074 - 6 Mar 2022
Cited by 44 | Viewed by 12172
Abstract
The world has been plagued by an unforeseen threat to public health by the appearance of COVID-19, which has impacted the world’s economy and the worldwide supply chain. The unexpected pandemic (COVID-19) quickly spread across the world, leaving not a single country unaffected [...] Read more.
The world has been plagued by an unforeseen threat to public health by the appearance of COVID-19, which has impacted the world’s economy and the worldwide supply chain. The unexpected pandemic (COVID-19) quickly spread across the world, leaving not a single country unaffected by the worldwide pandemic. At the start of COVID-19, several countries adopted social distancing and lockdowns due to the virus. The existing pandemic’s discriminatory aspect has a negative influence on human health and the standard of living, as well as worldwide trade, supply chains, and major economies. COVID-19 has been shown to have an effect throughout the broader food supply chain, one of the largest significant sectors of any country, from the field to the consumers. There are currently substantial concerns regarding food production, manufacturing, delivery, and consumption in light of emerging issues within the food supply chain. Limitations on the mobility of workers, variations in consumer demands, the shutdown of food manufacturing industries, limited food trading regulations, and financial stress throughout the food supply chain are all results of the COVID-19 pandemic. The pandemic (COVID-19) has changed consumer behavior and affected the business and economic sector. The purpose of this study was to explore the application of the Q-technique in the investigation of online consumer and manufacturer behavior in relation to end-user food purchases via digital marketing skills, supply chain possibilities, food purchaser and consumer happiness, and e-commerce infrastructure efficiency under the influence of COVID-19. The results show that in the crisis of supply chain management, clarifying the import food industry e-commerce supply chain crisis items, and determining their priority and strength can help enterprises make emergency decisions regarding supply chain operation; they can also be used as a reference for enterprises to use in responding to the crisis. Full article
(This article belongs to the Collection Sustainable E-commerce)
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20 pages, 13940 KiB  
Article
Where Urban Youth Work and Live: A Data-Driven Approach to Identify Urban Functional Areas at a Fine Scale
by Yiming Yan, Yuanyuan Wang, Zhenhong Du, Feng Zhang, Renyi Liu and Xinyue Ye
ISPRS Int. J. Geo-Inf. 2020, 9(1), 42; https://doi.org/10.3390/ijgi9010042 - 14 Jan 2020
Cited by 8 | Viewed by 4211
Abstract
As a major labor force of cities, young people provide a huge driving force for urban innovation and development, and contribute to urban industrial upgrading and restructuring. In addition, with the acceleration of urbanization in China, the young floating population has increased rapidly, [...] Read more.
As a major labor force of cities, young people provide a huge driving force for urban innovation and development, and contribute to urban industrial upgrading and restructuring. In addition, with the acceleration of urbanization in China, the young floating population has increased rapidly, causing over-urbanization and creating certain social problems. It is important to analyze the demand of urban youth and promote their social integration. With the development of the mobile Internet and the improvement of the city express system, ordering food delivery has become a popular and convenient way to dine, especially in China. Food delivery data have a significant user attribute where the ages of most delivery customers are under 35 years old. In this paper, we introduce food delivery data as a new data source in urban functional zone detection and propose a time-series-based clustering approach to discover the urban hotspot areas of young people. The work and living areas were effectively identified according to the human behavioral characteristics of ordering food delivery. Furthermore, we analyzed the relationship between young people and the industry structure of Hangzhou and discovered that the geographical distribution of the identified work areas was similar to that of the Internet and e-commerce companies. The characteristics of the identified living areas were also analyzed in combination with the distribution of subway lines and residential communities, and it was found that the living areas were mainly distributed along subway lines and that urban villages appeared in the living hotspot regions, indicating that transportation and living cost were two important factors in the choice of residential location for young people. The findings of this paper can help urban industrial and residential planning and young population management. Full article
(This article belongs to the Special Issue Geospatial Methods in Social and Behavioral Sciences)
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