In this article we take a different look at online auctions and propose to study an auction''s price evolution and associated price dynamics. Specifically, we develop a dynamic forecasting system to predict the price of an ongoing auction. By dynamic, we mean that the model can predict the ...
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forecasting, based on statistics, and not emotional reasoning. The main indicator of the number of profitable transactions is the accuracy of the trend forecast. The higher the indicator, the more profitable transactions. A secondary factor is the accuracy of the price forecast. This is an ...
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We apply a variety of forecasting techniques, depending on the behavior of the relevant market. For instance, the S-curve function and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are...
This has a far-reaching impact on those who consume the web differently; it ensures that when a screen reader or a system (like a search engine) consumes a page, it knows exactly what it contains and how to categorize that information. ...
Features include project management, dashboards, resource management, analytics, calendar management, conversion tracking, employee onboarding, forecasting, lead scoring, timesheets, collaboration support, reports, pipeline management, budgeting, and process modeling. Integrations include tools like Slack, Gmai...
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Dass, M., Jank, W. and Shmueli, G. (2009) Dynamic price forecasting in simultaneous online art auctions. In Marketing Intelligent Systems using Soft Computing (eds J. Casillas and F. J. Martinez-Lopez). New York: Springer.Dass, M., W. Jank and G. Shmueli (2009) "Dynamic Price ...
2012). Hedonic motivation, price value, and habit were added to the existing UTAUT. Voluntariness of use was excluded from the moderating variables. Unlike the TAM (Davis 1989), expectation-confirmation model (ECM) (Bhattacherjee 2001), and information system (IS) success model (DeLone and ...