We present a framework for intelligent software agents to manage risk and uncertainty in online marketplaces using Option Derivatives. To compare agents using Options with agents not using them, we create a simulation of a financial marketplace, in which software agents are vested with decision-rules for buying and selling goods and Options. We present some of the results of this simulation study.

We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ensemble makes the decision of buying or selling more conservative. It showed notable improvement on the average over not only the buy-and-hold strategy but also other traditional ensemble approaches.

The obesity rate in the last three years Semarang City has increased, and need for vitamins nutrients during Covid-19 pandemic also increased. However, this fact is not line with number of requests purchasing Herbalife products which decreased. This study aims to analyze factors influencing consumer decisions buying herbalife Semarang. sampling technique used purposive sampling. Data were obtai...

From the perspective of consumers, this research studied four factors including price promotion, time pressure, interpersonal interaction and visual appeal influencing impulse buying decision live streaming e-commerce consumers in China. This used a quantitative design by developing questionnaires to collect data through convenience sampling approach from 477 Chinese users who has shopping expe...

each customer or consumer communicates with different markets with a specific decision-making style and these styles approximately remain constant over time. this research is done between tehran home appliance store customers with the aim of identifying the sproles and kendall’s model decision-making styles. sproles and kendall’s model has identified eight different decision-making styles, whic...

In online shopping scenarios, it can be difficult for consumers to process the vast amounts of information available and to make satisfactory buying decisions. Interactive decision aids are a potential solution to this problem. However, decision aids that filter a very large set of alternatives based on initial preferences may eliminate potentially valuable alternatives early in the decision pr...