ABSTRACT
At present, due to the COVID-19, China's social and economic development has slowed down. Some life service e-commerce platforms have successively launched "contactless delivery" services, which can effectively curb the spread of the epidemic. Robot distribution is the current mainstream, but robots are different from people and need to have accurate program settings. Both path planning and obstacle avoidance are currently top issues. This requires the mobile robot to successfully arrive at the destination while minimizing the impact on the surrounding environment and pedestrians, and avoiding encroachment on the movement space of pedestrians. Therefore, the mobile robot needs to be able to actively avoid moving pedestrians in a dynamic environment, in addition to avoiding static obstacles, and safely and efficiently integrate into the pedestrian movement environment. In this paper, the path planning problem of unmanned delivery robot is studied, and the path of mobile robot in the crowd is determined by global planning and local planning, and the matlab simulation is used for verification. © The Authors. Published under a Creative Commons Attribution CC-BY 3.0 License.
ABSTRACT
This study focusses on providing state-of-the-art infrastructure for data pipelines in e-Commerce sector, especially for online stores. With people going digital and also latest impact of Covid-19, daily e-Commerce companies are dealing with large amount of data (terabytes to petabytes). With growing Internet of Things, systems of computing devices which are interrelated. The inter-relation may be between mechanical and digital machines, objects or people. The interrelated objects will be provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Growth of big data poses several challenges and opportunities in every field of its usage. Realtime analysis of data and its inference gives a competitive edge over its partners in every business field especially in e-commerce. Recent advances in technology and tools have exposed new opportunities to get actionable insights from historical data like market data, customer demographics, along with real-time data. Advancement in distributed streaming technology makes it important to investigate existing streaming data pipeline capabilities in eCommerce sector with a focus on online stores. This study analyzes the published research works on streaming data pipelines in e-commerce sector also to facilitate e-commerce's variety of data streaming applications requirement. A state-of-the-art lambda architecture for streaming is proposed completely based on open-source technologies. Challenge in proprietary owned streaming platforms are vendor lock-in, limited ability to customize, cost, limited innovation & support. Proposed reference architecture will address many streaming use cases compared to its competitors, it has support of large open-source community in providing the inter-operability between streaming & related technologies like connectors, apart from providing better performance apart from other open-source based product advantages. © 2023 IEEE.
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To cope with the digital transition exacerbated by the COVID-19 pandemic, managers of manufacturing small and medium enterprises (SMEs) need to adopt innovative practices to face uncertain scenarios and create long-term value, identified as transformational entrepreneurship practices. Among emerging digital technologies, digital platforms are shaping and outgrowing the e-commerce channel representing a potential opportunity for manufacturing SMEs to embrace digital transformation. Drawing on affordance theory, this research uses a mixed method approach to investigate how manufacturing SMEs' e-commerce commitment and digital platform adoption stimulate the actualization of three e-commerce affordances: consumer knowledge generation, internationalization, and customer diversification. Based on survey responses from 165 manufacturing SME managers, we find that direct selling through owned websites actualizes consumer knowledge generation and internationalization, indirect selling actualizes customer diversification and internationalization, and agency selling through third-party platforms actualizes all three affordances. The relationship between e-commerce commitment and ecommerce performance is mediated by consumer knowledge generation and internationalization but not by customer diversification. A fsQCA analysis outlines seven configurations actualizing these e-commerce affordances by pairing different ecommerce approaches with degrees of e-commerce commitment. Finally, an analysis of open-ended questions from 24 respondents complements the study and deeply interprets the seven unique configurations outlined. © 2023 The Authors
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In recent years, with the development of Internet big data technology and e-commerce platform, many active offline transaction methods have gradually shifted to online. Online auctions have come a long way due to COVID-19, but bidding fraud has seriously disrupted the health of the industry. In this paper, the AdaBoost model is used to build a bidding fraud prediction model, and the prediction performance of the model is verified by data experiments, and it is found that it has a high accuracy for identifying bidding fraud. At present, there are few prediction models for bidding fraud, and it has broad development prospects. © 2022 IEEE.
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Against the backdrop of the rapid development of e-commerce and the severe blow to fresh food e-commerce shopping caused by the COVID-19 Pandemic, this paper discusses consumers' perceptions of fresh food in the e-commerce live streaming mode using data mining in conjunction with a literature review and a questionnaire survey before presenting research findings that analyze influencing factors and product purchase behaviours. The total consumption and frequency of live-streaming consumption(FLSC) are closely examined in consumer behaviours. We investigate product's cost-performance cognitions(PCC), influencers cognitions(IC), logistics cognitions(LC),discounts cognitions(DC), live-streaming platforms cognitions(LPC), on-line interaction cognitions (OIC), live-streaming disadvantage cognitions(LDC), and impulsive consumption cognitions(ICC) as influencing factors. According to the data model fitting results, merchants can refer to research suggestions and optimize their marketing strategies, improve the problems in the fresh food live streaming marketing strategy, and improve consumer satisfaction, thereby promoting the development of fresh food e-commerce. © 2022 IEEE.
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The recent Covid-19 pandemic has led to a sharp increase in online shopping. While the promises of shopping on e-commerce platforms are vast, there are simultaneously novel and exacerbated risks compared to traditional brick-and-mortar retail purchases. Existing research outlines numerous risk dimensions associated with online shopping. In addition, scholars examine the underlying reasons for consumers' risk perceptions, such as the inability of physical quality checks. However, there is a lack of research investigating how consumers attempt to navigate and mitigate risk perceptions when confronted with a high-risk online transaction. To address this research gap, we conducted 18 semi-structured interviews with consumers who had recently performed an online transaction associated with high-risk perceptions. Our study contributes to the existing literature by identifying an affective and cognitive risk mitigation strategy and respective underlying mechanisms. Notably, we find that online social networks play a central role in shaping consumers' risk perceptions. © 2023 IEEE Computer Society. All rights reserved.
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Intuitionistic fuzzy set (IFS) theory can be applied for multi-aspect systems due to its capability to address uncertainty and incomplete information in terms of membership and non-membership degrees. Unfortunately, classical Γ-structures cannot handle fuzzy and imprecise information in real problems. In fact, there is no rigorous base to practically express the effectiveness of multi-attribute systems in IFS environment. Here, we develop a generalized IFS with the notion of Γ-module called intuitionistic fuzzy Γ-submodule (IFΓM) to establish a novel "Global electronic (e)-Commerce (GeC) Theory”. To simplify the analysis of parameters, (α,β)-cut representation is proposed in terms of comprehensive distribution of fuzzy number for the classification of components. On the other hand, Cartesian product is implemented to correspond the elements. Substantial properties of IFΓM including (α,β)-cut, Cartesian product and t-intuitionistic fuzzy Γ-submodule (t-IFΓM) are characterized with illustrative examples to extend the framework of IFΓM, where (α,β)-cut and support t-IFΓM are verified to be Γ-submodules based on the properties of IFΓM. Through Γ-module homomorphism, image and inverse image, the parametric connections between (α,β)-cuts are systematically investigated. In addition, a mathematical relationship between the Cartesian product and (α,β)-cut is determined. The overlapping intersection of a collection of t-IFΓM is proved to be t-IFΓM, and the image and inverse image are preserved under Γ-module homomorphism. As global e-trades are increasingly expanding after the recent coronavirus disease 2019 (COVID-19) hit, with the growth of 26.7-trillion dollars, businesses are required to transform their traditional functional natures to online (or blended) strategies for cost efficiency and self-survival in the present competitive environment. Therefore, compared to recent studies on IFS in the context of Γ-structures, the main contribution of this study is to provide a theoretical basis for the establishment of a new GeC Theory through the developed IFΓM method and Γ-module M which targets the purchasing rate of customers through e-commerce companies. In the end, the performance of the proposed method in terms of upper and lower cut, t-intuitionistic fuzzy set, support and IFΓM model, is analyzed in the developed GeC Theory. The proposed GeC Theory is validated using real datasets of e-commerce mega companies, i.e., Amazon, Alibaba, eBay, Shopify. They are characterized based on the amount of online shopping by samples (individuals). Compared to the existing methods, the GeC approach is an effective IFS-based method for complex systems with uncertainty. © 2023 Elsevier Ltd
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During the COVID-19 phase, e-commerce companies have risen rapidly, and customer demand increased suddenly. Brick-and-mortar ways of shopping have entirely shut down for approximately 4 months, and the whole country is dependent on online marketing platforms. There is a sudden rise in packaging because customers are more centric on online marketing;due to this, there is a massive increase in plastic consumption. This research paper aims to conduct a quantitative analysis of Indian consumer and industry experts regarding packaging products of e-commerce companies and then develop a framework for e-commerce companies regarding green sustainable practices. 145 responses were collected from Indian consumers, and 35 responses were taken from industry experts. This paper aims to visualize Indian customers' thinking regarding plastic bag packaging that they received from the e-commerce platforms and provide some valuable suggestions to the e-commerce companies. After analyzing the customer responses, a strategic framework is designed for green sustainable practices and validated by industry experts through a survey. After validating this framework, a robust framework is finally designed, which can be implemented in e-commerce companies for improved sustainability in their supply chain network. © 2023
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The massification of technologies, the implementation of 5G and the Internet of Things (IoT), allow implementing systems that contain virtual or augmented reality or implementation of both. In this sense, the covid 19 pandemic in the last years, has also affected people's behavior and leaned to shop without leaving their homes. VR, RA, and/or MR techniques are currently widely used for medicine, education, and entertainment, among others. In this study, we combine both elements to analyze the literature on e-commerce and the use of VR, AR, and/or RM. Searching and analyzing recent scientific articles were defined, and virtual reality is the most used, followed by the mixture of RV and RA, the above to improve the shopping experience, providing the customer with a more authentic and immersive environment. In future works, we will expect to expand this study, including how to evaluate the shopping experience and relate it to the customer experience. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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In 2019, The outbreak of Corona Virus Disease 2019 (named COVID-19) has caused great changes in the living habits of residents, and the community group buying model has re-emerged. Under the background of community group buying mode, combined with the characteristics of fresh products, and based on the SEVRQUAL model and the national standard of "Logistics Enterprise Cold Chain Service Requirements and Capability Evaluation Indicators", an evaluation index system of cold chain logistics service quality for community group purchase of fresh products with 5 dimensions and 29 indicators is constructed from the perspective of users. Then a 5-level Likert scale was used to design relevant questionnaires, and Xingsheng Youxuan and Meituan Youxuan were used as empirical cases for sample research. Combined collected sample data, the validity and rationality of the index system were tested through reliability, validity testing and factor analysis. The data analysis also shows the problems and influencing factors of Xingsheng Youxuan and Meituan Youxuan in terms of fresh food cold chain logistics service quality, and further suggestions for the development of cold chain logistics services considering product freshness under community group buying is also provided. © 2022 ACM.
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Measurement of e-commerce usability based on static quantities variable is state-of-the-art because of the adoption of sequential tracing of the next phase in the categorical data. An offline static model is trained. A static model is trained offline. In other words, we train the model once and then use it for a set period of time. The global COVID-19 outbreak has completely disrupted society and drastically altered daily life. The concept refers to an electronic commerce network that appears with thorough, understandable conviction, demand, and rapid confirmation as a replacement for the economic market’s "brick-and-mortar" model, which replaces how we do everything, including business strategy, and provides a better understanding with the interpretation of e-commerce features. This study was supervised to analyses usability assessments using statistical methods, as well as security assessments using online e-commerce security scanner tools, in order to investigate e-business standards that take into account the caliber of e-services in e-commerce websites across Asian nations. The method was developed to optimize complex systems based on multiple criteria. The initial (supplied) weights are used to determine the compromise ranking list and compromise solution. This paper examines the usability of e-commerce in rural areas using a new data set from the Jharkhand region. On the e-commerce websites of Jharkhand, India, usability is commonly considered in conjunction with learnability, memorability, effectiveness, engagement, efficiency, and completeness. Using a user-oriented questionnaire testing method, this survey attempts to close the gaps mentioned above. Then, across each column, divide each value by the column-wise sum that is created using their corresponding value, whichever produces a new matrix B. Finally, determine the row-wise sum of matrix B that represents the (3 X 1) matrix. Using model trees and bagging, this study addresses classification-related issues. This regression technique is useful for problems involving classification. The model is trained using secondary data from the MBTI 16 personality factors affecting personality category. Author
ABSTRACT
With the advent of the e-commerce markets, the small businesses in India are experiencing a major hit and a loss of customers. Since the medieval times, India is known for its street markets. It is so prominent that it is a cultural representation, and this prompts a considerable number of people to opt for establishment of business on the streets. During the pandemic, the street vendors are experiencing losses to an extent that they are unable to support their families. Our solution to the problem is a web application called 'Street Vendor Mart'. This aims at helping the hard-working street vendors by marketing their business. Say a citizen is walking on the road and finds a street vendor who is toiling under the sun, seeking to earn even the minimum wage. This citizen can help this street vendor through our application, 'Street vendor mart'. The advertisement posted by the citizen will now be recorded on the site and visible to any person who wishes to do some street shopping. If a user wants to shop for some item for cheaper prices, the user can log in to our site and find a list of street vendors around his location to buy the products. The users can visit the vendors near them, shop from them. Thus our 'Street Vendor Mart' is essentially a virtual mall filled with stores by street vendors If two or more vendors are selling the same category of products in the same location, then the gains will not be up to the mark because of the reduction in demands. As a solution to this, our web application runs Data Analytics to find the optimal location for the vendor to sell his/her category of goods which will maximize their profit. © 2022 IEEE.
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The rapid development of technology and ease of information today greatly affects all aspects of life. During the COVID-19 pandemic, technology played an important role in maintaining community activities continued smoothly despite being hampered by several health policies during the COVID-19 pandemic. Many phenomena develop with new technologies in several fields, one in the economic field is e-commerce. E-commerce is a site that makes it easier for buyers to get the goods desired by the community, as well as the various interesting promos that are the attractiveness of the community to constantly shop in e-commerce so that the community applies consumptive behavior. So that the problem that will be discussed in this study is the development of e-commerce technology that affects people's behavior in shopping which tends to be consumptive and hedonic. The purpose of this study is to determine the impact or effect of the use of e-commerce on consumptive behavior during the pandemic period and provide an overview of the potential regarding e-commerce in the future. This research method is quantitative. The data collection technique used for this study is to use a questionnaire. Thus, this research is expected to minimize the negative impacts that can be caused by the increasing consumptive behavior of society during the pandemic and provide wise e-commerce use. The results of this study can be seen from calculations using a formula that respondents tend to be more extravagant during the pandemic and for future potential, respondents will certainly enjoy the convenience provided by e-commerce. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Despite the evident upsurge of e-commerce (EC) over the past decades, the peak of online demand caused by the COVID-19 pandemic, and the huge involvement of micro and small enterprises (MSEs) in the online businesses to survive, the extant literature has neglected to analyse how MSEs orchestrate their resources between internal and external investments. Past studies, also in the case of SMEs, have tended to adopt a more firm-centric perspective focusing on the organisational conditions that determine firms' performance after the usage of EC, failing to explore the inter-organisational relations between MSEs and other actors in their ecosystem. Indeed, as MSEs may suffer from liability of smallness and lack of resources, they may rely more than other actors on the nexus of relations that emerge within the digital ecosystem generated through the usage of EC platforms. By relying on 37 interviews with owners or managers of MSEs operating in the food and beverage industry, we investigate the dynamics of resource distribution between MSEs and the other actors in the EC ecosystem. We identified the changes in interdependencies, the information asymmetries, and the power imbalances related to the interplay between MSEs and other actors within the EC ecosystem. Copyright © 2023 Inderscience Enterprises Ltd.
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With the introduction of the new retail model and the explosion of COVID-19, more and more community residents are using fresh food e-commerce companies to buy the fresh produce they need on a daily basis. In this paper, three fresh produce e-commerce companies with a high market share were selected as research subjects and their company financial reports were used as raw data, and then the intra-city distribution capability of fresh food e-commerce companies was studied based on the raw data. Firstly, the weights of the primary and secondary indicators were calculated using the hierarchical analysis and entropy methods respectively, and the weights were fused. After that, a fuzzy synthetic evaluation of each of the three fresh food e-commerce companies was conducted, which in turn quantified the evaluation results. Finally, the quantified evaluation results are compared and appropriate recommendations are given for each fresh food e-commerce company. © 2022 IEEE.
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The new era of enterprise business disruption has been significantly influenced by the technological revolution driven by the expanding use of artificial intelligence. Consumers' growing desire for comfort and safety has led to drastic shifts in the consumption patterns for retail due to the widespread use of digital and mobile technologies, especially after the Covid-19 pandemic. Hence, the popularity of e-commerce is expected to considerably grow. Through this study, the authors attempt to identify the various factors of artificial intelligence that affect customer engagement in the Indian e-commerce sector. The authors also propose a CAPE model (Captivating Consumers by Using Chatbots for Interaction, Augmented AI Advertising, Personalized Content and Offerings, Engaging Consumers based on AI Data Insights) indicating the strategies that Indian e-commerce businesses and marketers may adopt for enhancing the levels of customer engagement in a post-pandemic scenario. © 2022 IEEE.
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During Covid 19, except for essential commodities, all physical outlets were shut, and e-commerce played an important role in catering electronics products to consumers. The factors taken into consideration were Income, Occupation, Education, Gender, Age, and Experience with respect to the customer buying behaviour. An overall study reveals that experience in using e-commerce websites is a major factor influencing customer buying behaviour, and other factors such as income, occupation, education, gender, and age do not have any effect on the buying decision. The inferences are, to a large extent, in the interest of e-commerce providers whose structure of the business solely relies on the behaviour of e-customers. The study attempts to analyze the influence of the extent of consumer buying behaviour during Covid 19 for e-commerce electronics products. This paper tests that e-com shopping was raised due to the coronavirus. © 2023 IEEE.
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With the impact of the novel coronavirus on the global economy, the role of live e-commerce as an engine to drive economic and social development has become more and more prominent. In order to further promote the positive development of Taobao Live platform, this article uses SOR theory, multi-dimensional factors such as "people, goods and venues"as stimulus variables, introduces perceived value and perceived risk as mediating variables, and demographic characteristics as moderating variables to construct a model of consumers' purchase intention on Taobao Live e-commerce platform and put forward corresponding hypotheses, and uses SPSS 26.0 and AMOS 24.0 to analyse 223 questionnaires collected to study the influencing factors of consumers' purchase intention and provide corresponding suggestions. The study shows that: consumer perceived value and perceived risk have significant effects on consumer purchase intention;anchor professionalism, consumer herd mentality and situational factors have significant effects on consumer perceived value;anchor professionalism, consumer impulsive traits and herd mentality have significant effects on consumer perceived risk;some demographic characteristics play a moderating role in the process of perceived value and perceived risk on consumer purchase intention. © 2022 ACM.
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The adaptation of halal food to Chinese food culture was investigated in a meta-analysis of this China e-commerce study. Indoctrination is a sociocultural transformation in the Coronavirus pandemic in which a community of people or an in-dividual integrates into a different culture or country by adopting the host culture's linguistic skills, social features, nutritional pat-terns, and the current growth of e-commerce consumption. We ap-ply a data-driven marketing approach and modify the STP model in marketing to analyze the product differentiation parameters ac-cording to the research. Consuming halal food prepared following Islamic standards is a religious dietary obligation imposed on all Muslims, regardless of where they reside or travel. In Arabic, the term 'halal food' refers to food that is legal and allowed to ingest. Among many other dietary requirements, Islamic tenets ban the consumption of porcine food items, dead animal meat, animal blood, and any quantity of alcohol. Islam and halal eating prac-tices were introduced to China in the early seventh century by Cen-tral Asians and Muslim missionaries traveling through the peri-lous ancient desert. Throughout its history, China has been a non-Muslim country, but halal food practice has been successfully assimilated and even flourished as a key component of contemporary Chinese cuisine culture. This paper addresses the two most significant variables that have contributed to the successful cultural as-similation of halal food into the new Chinese food culture in the digital era through key Chinese e-commerce sites. © 2022 IEEE.
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While the emergence of COVID-19 [1] has put major cloud service providers around the world to the test, the pandemic has also provided a strong impetus for the adoption and deployment of cloud computing: the transition to a remote workforce, entertainment, e-commerce, and especially remote education have affected the cloud industry and how providers are responding to the sudden and significant increase in demand for cloud solutions and services. Obviously, while highlighting the robustness of the public cloud, the pandemic-induced situation also highlights several important research challenges that need to be addressed. This paper presents a multi-source based analysis for the identification of cloud computing research challenges as part of the road mapping methodology followed in the HUB4CLOUD project. The analysis consists of an in-depth study of several sources including analysis of the international context, analysis of academic venues, interviews with relevant stakeholders and existing funded projects. The paper also provides an overview of the main research topics identified and proposes next steps for the utilization of these finding in the development of a Cloud Computing research roadmap. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.