Economics, Management, and Financial Markets最新文献_第2页

Consumer Sentiment, Cognitive Attitudes, and Behavior Patterns toward Delivery Apps 消费者情绪、认知态度和对交付应用程序的行为模式

Economics, Management, and Financial Markets Pub Date : 2022-01-01 DOI: 10.22381/emfm17120223

M. Rowland

{"title":"Consumer Sentiment, Cognitive Attitudes, and Behavior Patterns toward Delivery Apps","authors":"M. Rowland","doi":"10.22381/emfm17120223","DOIUrl":"https://doi.org/10.22381/emfm17120223","url":null,"abstract":"Despite the relevance of consumer sentiment, cognitive attitudes, and behavior patterns toward delivery apps, only limited research has been conducted on this topic. In this article, I cumulate previous research findings indicating that behavioral intention and continuance usage of contactless delivery services can shape consumer perception, purchase decision, experience, satisfaction, and loyalty. I contribute to the literature on consumer experience with online food delivery apps by showing that such services satisfy customers' increasing requirement of purchasing items and maintaining physical distance throughout the COVID-19 pandemic. Throughout January 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including \"delivery app\" + \"consumer sentiment,\" \"cognitive attitude,\" and \"behavior pattern.\" As I inspected research published in 2021 and 2022, only 146 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 26, generally empirical, sources. Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, Distiller SR, and MMAT.","PeriodicalId":37224,"journal":{"name":"Economics, Management, and Financial Markets","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68362388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Customer Engagement and Data Visualization Tools, Ambient Sound Recognition Software, and Deep Learning-based Sensing Technologies in the Metaverse Economy 客户参与和数据可视化工具，环境声音识别软件，以及基于深度学习的感知技术在虚拟经济

Economics, Management, and Financial Markets Pub Date : 2022-01-01 DOI: 10.22381/emfm17320222

引用次数: 1

Visual and Spatial Analytics, Immersive Virtual Simulation Technologies, and Motion Planning and Object Recognition Algorithms in the Retail Metaverse 视觉和空间分析，沉浸式虚拟仿真技术，以及零售虚拟世界中的运动规划和对象识别算法

Economics, Management, and Financial Markets Pub Date : 2022-01-01 DOI: 10.22381/emfm17320224

引用次数: 2

Virtual Reality-based Visual Perception and Multi-Sensory Tracking Technologies, Geospatial Mapping and Simulation Modeling Tools, and Image Recognition and Cognitive Artificial Intelligence Algorithms in the Industrial Metaverse 基于虚拟现实的视觉感知和多感官跟踪技术，地理空间映射和仿真建模工具，工业虚拟世界中的图像识别和认知人工智能算法

Economics, Management, and Financial Markets Pub Date : 2022-01-01 DOI: 10.22381/emfm17420225

引用次数: 0

Emerging Risks in the FinTech Industry – Insights from Data Science and Financial Econometrics Analysis 金融科技行业的新兴风险——来自数据科学和金融计量经济学分析的见解

Economics, Management, and Financial Markets Pub Date : 2022-01-01 DOI: 10.22381/emfm17220221

Lucía Morales

{"title":"Emerging Risks in the FinTech Industry – Insights from Data Science and Financial Econometrics Analysis","authors":"Lucía Morales","doi":"10.22381/emfm17220221","DOIUrl":"https://doi.org/10.22381/emfm17220221","url":null,"abstract":"The FinTech industry has exhibited very high growth levels since the Global Economic and Financial Crisis of 2008. The sector growth has been accelerated because of the disruption caused by COVID-19 and that derived in the global health crisis, a crisis with significant implications for global economic stability. To examine the risk profile of FinTech firms, the CRISP-DM methodology was followed to aid in the implementation of clustering and classification algorithms, combined with time series regression models. This research paper offers insights on financial risk assessment by combining machine learning techniques and traditional econometric modeling to acknowledge challenges associated with the analysis of time series in the financial context and framed in the US FinTech sector. The main findings revealed a lack of significant differences between the FinTech and Non-FinTech firms in the US stock market. The results were surprising as the FinTech sector's speed of development and fast changes in financial innovation have led to the emergence of significant risks that do not seem to be captured by the examined market and firm-specific data sets. The research outcomes point to a substantial vacuum on the regulatory framework at both national and international levels to ensure efficient FinTech governance and adequate industry development amid very ambitious growing prospects.","PeriodicalId":37224,"journal":{"name":"Economics, Management, and Financial Markets","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68362601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Image Processing Computational Algorithms, Movement and Behavior Tracking Tools, and Virtual Retail Algorithms in a Real-Time Interoperable Decentralized Metaverse 图像处理计算算法，运动和行为跟踪工具，以及实时可互操作的分散元世界中的虚拟零售算法

Economics, Management, and Financial Markets Pub Date : 2022-01-01 DOI: 10.22381/emfm17320225

引用次数: 0

Virtual Modeling and Visual Computing Technologies, Internet of Things-based Decision Support and Remote Sensing Systems, and Context Awareness and Spatio-Temporal Fusion Algorithms in the Immersive Industrial Metaverse 虚拟建模和视觉计算技术，基于物联网的决策支持和遥感系统，沉浸式工业元宇宙中的上下文感知和时空融合算法

Economics, Management, and Financial Markets Pub Date : 2022-01-01 DOI: 10.22381/emfm17420224

引用次数: 0

Virtual Clones of Cyber-Physical Production Systems, Workspace Digital Twins, and Multi-Sensor Fusion Technologies in the Interactive Industrial Metaverse 交互工业元宇宙中信息物理生产系统的虚拟克隆、工作空间数字孪生和多传感器融合技术

Economics, Management, and Financial Markets Pub Date : 2022-01-01 DOI: 10.22381/emfm17420222

引用次数: 0

Data-driven Machine Learning and Neural Network Algorithms in the Retailing Environment: Consumer Engagement, Experience,and Purchase Behaviors 零售环境中的数据驱动机器学习和神经网络算法:消费者参与、体验和购买行为

Economics, Management, and Financial Markets Pub Date : 2022-01-01 DOI: 10.22381/emfm17120224

引用次数: 79

Digital Twin-based Cyber-Physical Production Systems in Immersive 3D Environments: Virtual Modeling and Simulation Tools, Spatial Data Visualization Techniques, and Remote Sensing Technologies 沉浸式3D环境中基于数字孪生的信息物理生产系统:虚拟建模和仿真工具，空间数据可视化技术和遥感技术

Economics, Management, and Financial Markets Pub Date : 2022-01-01 DOI: 10.22381/emfm17220225

引用次数: 2