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Статті в журналах з теми "Online trading activity"
Dorfleitner, Gregor, and Isabel Scheckenbach. "Trading activity on social trading platforms – a behavioral approach*." Journal of Risk Finance 23, no. 1 (January 3, 2022): 32–54. http://dx.doi.org/10.1108/jrf-11-2020-0230.
Повний текст джерелаReddy, Muddam Nikhil, and G. Rajyalakshmi. "Online Negotiation Process, Liquidation and Settlement in KARVY Stock Broking." Think India 22, no. 2 (October 31, 2019): 229–36. http://dx.doi.org/10.26643/think-india.v22i2.8724.
Повний текст джерелаNikolaiev, Mykyta. "OVERVIEW OF ONLINE TRADING INFORMATION TECHNOLOGIES." Management of Development of Complex Systems, no. 50 (June 27, 2022): 106–14. http://dx.doi.org/10.32347/2412-9933.2022.50.106-114.
Повний текст джерелаKorenyuk, Petro, Alexandra POPOVA, and Zakhar KORENYUK. "FEATURES OF MARKETING ACTIVITY IN THE MODERN CONDITIONS OF A PANDEMIC." Ukrainian Journal of Applied Economics, no. 4 (November 25, 2020): 43–50. http://dx.doi.org/10.36887/2415-8453-2020-4-4.
Повний текст джерелаBochko, Olena Yuriivna, Halyna Vasylivna Podvalna, and Viktoriia Viktorivna Kuziak. "RESEARCH OF CONSUMERS 'LIABILITY LEVEL TO UKRAINIAN ONLINE TRADE." SCIENTIFIC BULLETIN OF POLISSIA 1, no. 2(14) (March 1, 2018): 165–72. http://dx.doi.org/10.25140/2410-9576-2018-2-2(14)-165-172.
Повний текст джерелаHudi, Ilham, Muhammad Ahyaruddin, Della Hilia Anriva, Mentari Dwi Aristi, Dian Puji Puspita Sari, Annie Mustika Putri, Nur Fitriana, and Dian Hafiza Triana. "Literasi Dan Pelatihan Investasi Pasar Modal Bagi Komunitas Mobile Legend Pekanbaru." ABDIMAS EKODIKSOSIORA: Jurnal Pengabdian Kepada Masyarakat Ekonomi, Pendidikan, dan Sosial Humaniora (e-ISSN: 2809-3917) 1, no. 1 (January 21, 2022): 51–55. http://dx.doi.org/10.37859/abdimasekodiksosiora.v1i1.3332.
Повний текст джерелаMizrach, Bruce, and Susan Weerts. "Experts online: An analysis of trading activity in a public Internet chat room." Journal of Economic Behavior & Organization 70, no. 1-2 (May 2009): 266–81. http://dx.doi.org/10.1016/j.jebo.2009.02.001.
Повний текст джерелаDeimer, Sebastian, and Joaquin Poblete. "REAL-MONEY VS. PLAY-MONEY FORECASTING ACCURACY IN ONLINE PREDICTION MARKETS – EMPIRICAL INSIGHTS FROM IPREDICT." Journal of Prediction Markets 4, no. 3 (December 18, 2012): 21–58. http://dx.doi.org/10.5750/jpm.v4i3.479.
Повний текст джерелаAllahviranloo, Mahdieh, and Coline Bouyeure. "Online Platform for Matching and Trading Shares of Autonomous Vehicles." Transportation Research Record: Journal of the Transportation Research Board 2676, no. 3 (January 19, 2022): 685–95. http://dx.doi.org/10.1177/03611981211055666.
Повний текст джерелаLucky Radi Rinandiyana, Tine Badriatin, Noneng Masitoh, Andri Helmi Munawar, Rini Muflihah, Sri Sudiarti, Dede Aji Mardani, and Fuzi Waliyul Mujtahidin. "Pengembangan Kompetensi Mahasiswa Melalui Pelatihan Magang Online Saat Pandemi Covid 19." BANTENESE : JURNAL PENGABDIAN MASYARAKAT 3, no. 1 (June 30, 2021): 10–18. http://dx.doi.org/10.30656/ps2pm.v3i1.3314.
Повний текст джерелаДисертації з теми "Online trading activity"
Bowden, James. "Examining relationships between online financial message board interactions and trading activity of securities listed on the AIM submarket of the London Stock Exchange." Thesis, University of Dundee, 2019. https://discovery.dundee.ac.uk/en/studentTheses/bfd1742e-c7d9-447e-b91a-4f1603047e89.
Повний текст джерелаChen, Ying-Chieh, and 陳英傑. "Activity Analysis and Security Mechanism Design for Trading Online-Gaming Virtual Property." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/26261852561629734700.
Повний текст джерела國立交通大學
資訊管理研究所
98
In recent years, the popularity of online-gaming has stimulated the development of virtual property market and instigated the trading of virtual property into a new commercial activity. However, the virtual property market has derived many trading disputes and crime problems. Among them, the trading fraud occupies the largest portion of the online-gaming criminal cases. For instance, some buyers have already paid but did not receive the merchandise, or the attribute and content of the merchandise were inconsistent with the advertising information provided by the seller, or the stolen or counterfeit goods were bought due to negligence. Such dispute and fraud may lead the game account to be frozen by the game operator, or the game players involved in bribes and other abuses of receiving stolen property were under investigation by the local jurisdiction. All these trading disputes and crime issues have growing at an amazing rate and appeared endless. After intensively studying the crime problems of online-gaming and the derived trading safety problems of virtual property, we have found that the most important factor is insufficiency of the related protection mechanism of virtual property and the lack of standardization of the description guidelines. In fact, the nature of the virtual property is a collection of a set of digital data 0 and 1, which is self-designed and set up by each game designer or operator. Basically it has the characteristics of being easy to copy, modify, forge, and delete. Plus the existing trading platform only advertises a limited description of the for-sale virtual property with the text or picture illustrations by the seller, there is no credible supporting documentation to clarify the source, contents, attribute value changes, ownerships, and trading records of the virtual property. Therefore, the buyers are often under situation with insufficient or mismatch information, resulting in the detection and prevention of trading disputes and crime problems hardly to be improved effectively. To address the problems stated above, this dissertation analyzes actual trading activities in the online-gaming virtual property market. Using the entity-relationship model, this study also derives the entity types required by virtual property trading and relationship types—and their attributes—for different entity types. By elucidating the entity type and dividing it into ten sub-entity-relationship models, this study explains the abstract data architecture of the database based on the concept of entity types and their relationship types. The relationship diagram of entity types is also utilized to diagrammatically express the entity set, relationship set, attributes, and the primary key content in the database. This helps specify the design content of the entity-relationship model of the online-gaming virtual property market. In reference to the supply chain electronic pedigree, towards the end of this study, we propose an innovative document architecture and security management mechanism for electronic pedigree of virtual property. This study then establishes an information architecture that identifies virtual property object sources, historical records of attribute value changes, past ownership replacements, trading content, and the latest attribute value. Additionally, combining the entity-relationship model of the trading activities of virtual property with the electronic pedigree makes it possible to derive a virtual property vocabulary and expression, with the extensible makeup language (XML) the expression language. The model in this study allows government agencies, game operators, and trading system operators to use the criteria expression of object content, trading, and electronic pedigree of virtual property to follow the expression design. The vocabulary and expression of the virtual property content, trading, and the electronic pedigree, can also allow game operators to provide sufficient trading information to both parties in virtual property trading, thereby redressing the existing problem of information asymmetry. The proposed virtual property expression allows game players, trading systems, and game platform to consistently interpret expression information in the future. This is beneficial to virtual property trading and circulation and helps game operators treat virtual property as consumer goods, flourishing commercial activities of virtual property. The application of a virtual property electronic pedigree is expected to reduce the problems of trading disputes and crime, settle the issue of stolen and counterfeit goods, supplement existing security and insufficient gaming historical record issues, and provide diversified trading credentials for virtual property. After game players obtain a virtual property electronic pedigree, game operators and trading system operators will be compelled to protect game players who hold virtual property, thus producing a more secure trading environment for online-gaming virtual property.
(14009941), Wanpiti Fangrith. "Development of e-commerce strategies derived from a responsive security confidence to optimize online trading activity in Thailand." Thesis, 2011. https://figshare.com/articles/thesis/Development_of_e-commerce_strategies_derived_from_a_responsive_security_confidence_to_optimize_online_trading_activity_in_Thailand/21397632.
Повний текст джерелаSecurity of online transactions is a key factor that affects a potential buyer's decision to make purchases online. In Thailand, security has been identified as the main reason for consumers' reluctance in purchasing products online. E-commerce rates in Thailand are considerably lower than those of other countries in the same region. However, this could be interpreted as a potential for e-commerce growth in Thailand. This study aims to identify the main factors affecting the low rates of e-commerce activity in Thailand and explores the social and cultural aspects of online shoppers here. Through a survey of Thais who shop online, this research aims to understand consumers' behaviours and their opinions relevant to security of online transactions. The research employs a qualitative approach and a questionnaire survey to collect pertinent data.
Results show a strong association between confidence in online security and the number of potential online buyers. E-commerce in Thailand can grow fully when appropriate security strategies have been developed. This can make potential buyers more confident about making online purchases. This finding has been confirmed using knowledge from across disciplines. Mathematical equations (adding test value, recalculating and mathematically reconstructing the data structure) and the laws of physics have been used to help explain this social behaviour as a conceptual idea of Mode-2 society. Following an in depth, trans-disciplinary analysis of the research data, some recommendations for the online industry and government entities have also been presented. The findings of the study and its recommendations focus on online trading activity can help in reducing fear or reluctance associated with online transactions among Internet users in Thailand and possibly leads to an increase in revenues from online shopping for the country.
Частини книг з теми "Online trading activity"
Yeganyan, H., and S. Harutyunyan. "New View on the Architecture of the Capital Market." In Theory and Practice of Institutional Reforms in Russia: Collection of Scientific Works. Issue 50, 101–11. CEMI Russian Academy of Sciences, 2020. http://dx.doi.org/10.33276/978-5-8211-0788-6-101-111.
Повний текст джерелаMarston, Greg, Louise Humpage, Michelle Peterie, Philip Mendes, Shelley Bielefeld, and Zoe Staines. "Resistance And Reform: Individual And Collective Agency." In Compulsory Income Management in Australia and New Zealand, 125–46. Policy Press, 2022. http://dx.doi.org/10.1332/policypress/9781447361497.003.0006.
Повний текст джерела