KR20070008452A - Method and system for transaction of information goods using on-line - Google Patents

Abstract

A method and a system for trading information goods in the online are provided to make information actively traded as material by constructing a market system to assign an ownership/reliable price to each information and smoothly/safely trade the information, and produce the better information and knowledge by removing information distorters. An information goods receiver(31) receives the information goods including an initial price and a price range from an information seller. An information goods listing part(32) starts sales of the information goods at the initial price by listing the information goods to an online market. An information goods intermediating part(33) sells the information goods to an information buyer at a current price and pays a sale price to the information seller. A feedback price calculator(34) produces a feedback price by receiving an estimated proper price or proper price evaluation according to an effective value of the information material from the information buyer, and reflecting the received information. A trading price updater(35) updates the trading price of the information goods within the price range set by the information seller.

Description

Method and System for Transaction of Information Goods Using Online {Method and System for transaction of information goods using on-line}

The following drawings attached to this specification are illustrative of preferred embodiments of the present invention, and together with the detailed description of the invention to serve to further understand the technical spirit of the present invention, the present invention is a matter described in such drawings It should not be construed as limited to.

1 is a schematic configuration diagram of an online information transaction system according to an embodiment of the present invention.

2 to 4 are graphs illustrating the principle of determining the price of a general good or service by balancing the demand curve and the supply curve.

5 and 6 are a demand curve and a supply curve for the information material, respectively.

7 is a graph showing that there is no balance in the case of the information material.

8 is a graph briefly illustrating a dynamic and briefly showing how the actual transaction price of an information asset fluctuates in the course of repetition of inquiry, transaction, feedback price calculation, transaction price update, and price range adjustment over time after the listing of the information asset. to be.

The present invention relates to the trading of information goods, and more particularly, to a method and system for trading information goods electronically online.

The virtual space of the Internet created by the invention of computer and information and communication technology is changing the world tremendously and is leading the 'third wave' which Elvin Topler said. Elvin Topler said that the information society of the Third Wave is a society where knowledge and information are the core of power, and the new wealth-generating system relies on the early exchange of data, information, and knowledge. It is said that no added value can be created. Here, data refers to individual facts or records, and information refers to categories and classification systems or other forms or data processed for the purposes of the user, and knowledge is a higher level of information that has been refined and refined. can do.

In an information society, information is the most important factor in creating wealth, and all members of the society should be able to access useful information at an affordable price. However, most of today's information has no clear property rights or ownership, it can't create wealth, and is floating meaninglessly in the virtual space of the Internet. Its quantity and range cannot be measured. Most of the information that is not valuable in use is lost, and the information is distorted by so-called business distorters, and the anonymity makes it difficult to distinguish it from reliable information.

In other words, there is a lot of information in the virtual space of the Internet, but there is not much information with useful value and utility. And it takes a lot of time and effort to find the information you need, and the quality of the information produced is very poor. Moreover, there is no mechanism to efficiently accumulate, use and develop information.

On the other hand, recently, a service called knowledge search has been spotlighted as a popular service of each search portal site. Knowledge search is a service that netizens who want specific information post questions and netizens who know the answers to questions. However, since there is no practical motivational factor to provide the respondents with good answers, the expertise of the information provided through the knowledge search service is still poor.

Furthermore, knowledge that requires a high level of expertise is almost impossible to obtain through current knowledge retrieval services. Of course, in order to produce quality knowledge, a system is provided that rewards answers. However, it is usually only a level up as a knowledge provider. Thus, there is still a limit to allowing knowledge providers to provide practical and useful knowledge.

The present invention was devised to solve the above-mentioned problems of the prior art, and by constructing a market system that gives ownership and reliable price to each piece of information and can smoothly and securely trade it, the information is a single good. And a method and system that can be actively traded, further evicting information distorters and gathering only high-quality information that has value in use, so that this information can be accumulated and used by many people to create better information and knowledge. The purpose is to provide.

In order to achieve the above technical problem, the online information goods trading method comprises the steps of: (a) receiving a transaction target information material given an initial transaction price (hereinafter, listed price) and a price range (upper and lower price) by an information goods seller; (b) listing the information object to be traded on the online exchange to start selling the information material by the listed price; (c) selling the information goods to the information goods buyer at the current transaction price of the information goods and paying the sale price to the information goods seller; (d) deriving a feedback price based on the provision of a reasonable price prediction or price adequacy evaluation according to the utility value of the information goods from the information goods buyer; And (e) updating the feedback price to the transaction price for the information goods within the price range specified by the seller, or updating the upper or lower limit of the price range to be the transaction price according to the deviation direction if the feedback price is out of the specified price range. It includes; step. Herein, the price range may be adjusted by the information goods seller at any time, and the information object to be traded refers to any digitalized information, knowledge, or content that may be subject to a transaction with usefulness. The information goods seller and the information goods buyer access the online exchange through a wired or wireless internet.

In the present invention, the step (a), further comprising the step of uploading the transaction target information material from the information goods seller, and in step (c), the process of downloading the transaction information information material to the information material buyer further Include.

According to one aspect of the invention, (f) receiving a brief description and request for an information material that is considered necessary or useful from the information material buyer; And (g) publishing a description and request for the necessary information material received from the information material buyer to the information material seller (s).

According to another aspect of the invention, (h) providing a personal information repository to the user of the online exchange; further comprises.

Here, the personal information store includes information materials sold by users of the online exchange as sellers of information goods and information goods purchased as information goods buyers.

According to an aspect of the present invention, in the step (d), the appropriate price prediction value presented by the information material buyer is reflected in the feedback price by the following equation 1,

<Equation 1>

는 절충계수로서 0보다 크고 1보다 작거나 같고, here,

Is a compromise factor that is greater than 0 and less than or equal to 1,

은 (t-1)시점까지 피드백이 이루어진 정보재의 전기 피드백 가격이고, (t-1)시점은 n-1 번째 구매자가 적정가격 예측치를 제시한 시점이고(n=1인 경우

은 상장가이다),

Is the electric feedback price of the information material that has been fed back until (t-1), and (t-1) is the time when the n-1th buyer presented the fair price forecast (n = 1)

Is the listing price),

는 (t)시점에서 n번째 정보재 구매자가 제시한 적정가격 예측치이고,

Is the fair price forecast given by the nth buyer of the information product at (t),

는 n번째 정보재 구매자가 제시한 적정가격 예측치

까지 절충되어진 (t)시점의 정보재 피드백 가격이다.

Is the fair price forecast suggested by the nth buyer of the information product.

It is the price of information material feedback that is negotiated until (t).

는, (t)시점과 (t-1)시점 사이에 경과된 시간이 길어질수록 그 값이 증가하며 예측가치가 모두 소멸한다고 가정하는 일정기간(예측가치 소멸시효)이상 경과된 경우 그 값이 1이 된다.In Equation 1,

The value increases as the time elapsed between (t) and (t-1) becomes longer, and the value is 1 if it has passed more than a certain period of time (predicted value extinction aging) assuming that all of the predicted value is extinguished. Becomes

은 (t-1)시점부터 (t)시점까지의 물가상승률을 감안하여 (t)시점을 기준으로 환산한 가격이다. Preferably, the

Is the price converted from (t) considering the inflation rate from (t-1) to (t).

의 값을 업데이트가 안 되었을 때를 기준으로 한

값보다 상대적으로 상향시켜 적용한다.The invention further comprises the step of updating the listed information material at the request of the information material seller; in this case, at the feedback point after the update based on the information material update time

Is based on when the value of

Apply upward relative to value.

According to another aspect of the present invention, in the step (d), the appropriate price prediction value presented by the information buyers is reflected in the feedback price by the following equation (2),

<Equation 2>

는 t_k 시점에서 k 번째 정보재 구매자가 제시한 적정가격 예측치이고(k=0인 경우는 정보재에 대한 상장가),here,

Is the fair price estimate given by the k th buyer of the information goods at time t _k (if k = 0, the listing price for the information goods),

는 t_k 시점에서 k 번째 정보재 구매자가 제시한 적정가격 예측치의 피드백 시점(t_n 시점)에서의 예측가치이고,

Is the predicted value at the time of feedback (t _n ) of the fair price forecast presented by the k-th buyer of the information goods at time t _k ,

는 가중치로 그 총합이 1이고,

Is a weighted sum of 1,

은 t_n 시점까지 제시된 적정가격 예측치들을 각 예측치들이 피드백 시점에 가지는 예측가치로 가중 평균한 t_n 시점의 피드백 가격이다.

Is the appropriate value to the predicted values given point in time t _n is the predicted value to each feedback value of the time t _n by a weighted mean prediction value with the feedback point.

또는

는 피드백 시점 t_n 을 기준으로 과거에 제시된 적정가격 예측치일수록 그 값이 상대적으로 작으며, k또는 f가 n에서 0으로 감소할수록 특정 기준 값으로부터 점차 감소시키거나, k또는 f가 0에서 n으로 증가할수록 특정 기준 값으로부터 점차 증가시킨다.In Equation 2,

or

The value of the previous fair price estimate based on the feedback time point t _n is relatively small, and as k or f decreases from n to 0, it gradually decreases from a specific reference value, or k or f goes from 0 to n. As it increases, it gradually increases from a specific reference value.

또는

는 k 또는 f가 n에서 0으로 감소할 때 또는 0에서 n으로 증가할 때 그 값을 변화시킴에 있어서, 각 시점이 속하는 특정 주기(예측가치 변동주기)를 기준으로 특정 주기의 같은 사이클 내에서는 동일하게 유지되다가 각 시점이 속하는 특정 주기의 사이클이 바뀌면 시간(사이클이 바뀐 회수)에 비례해 변동된다.Preferably, the

or

Changes the value when k or f decreases from n to 0, or increases from 0 to n, within the same cycle of a specific period relative to the particular period (predicted value change period) to which each point belongs. It remains the same and then changes in proportion to the time (number of cycles changed) as the cycle of the particular period to which each point belongs is changed.

Preferably, the optimal price forecast value that has elapsed for a predetermined period (predicted value extinction prescription) assuming that all of the predicted values disappear is excluded from the calculation according to Equation (2).

는 t_k 시점부터 t_n 시점까지의 물가상승률을 감안하여 t_n 시점을 기준으로 환산한 가격이다.Preferably, the

Is the price converted based on the time t _n in consideration of the inflation rate from time t _{k to} time t _n .

The present invention further includes the step of updating the listed information material at the request of the information material seller, in this case, at the feedback point after the update time on the basis of the information material update time, the appropriate presented before the update time We apply the forecast value for price forecasts lower than the forecast value for fair price forecasts presented after the date of update.

According to another aspect of the invention, in the step (d), the price adequacy evaluation presented by the information material buyer is reflected in the feedback price by the following equation (3),

 <Equation 3>

는 조정계수로서 0보다 크거나 같고 1보다 작고, here,

Is an adjustment factor that is greater than or equal to 0 and less than 1,

는 (t)시점의 정보재 구매자가 전기 피드백가격(가격범위 안에 있는 경우 자신이 구매한 가격)의 가격적정성을 평가한 옵션에 따라서 그 값이 결정되고,

Is determined by the option at which the buyer of the information goods at the time assessed the adequacy of the previous feedback price (the price purchased by them if they are within the price range),

은 (t-1)시점까지 피드백이 이루어진 정보재의 전기 피드백 가격이고, (t-1)시점은 n-1 번째 구매자의 가격적정성 평가가 이루어진 시점이고,

Is the electric feedback price of the information material with feedback up to (t-1) time, (t-1) is the time when the price adequacy evaluation of the n-1 th buyer was made,

는 n번째 정보재 구매자의 가격적정성 평가에 의해 조정된 (t)시점의 정보재 피드백 가격이다.

Is the information material feedback price adjusted at (t) by the nth information buyer's price adequacy evaluation.

In order to achieve the above technical problem, the online information goods trading system according to the present invention comprises: an information material receiving a transaction target information material to which an initial transaction price (list price) and a price range (upper limit value and a lower limit value) are assigned from an information goods seller. Receiving unit; An information material listing unit for starting the sale of the information material by the listed price by listing the information object to be traded on the online exchange; An information goods transaction brokerage unit that sells the information goods to the information goods buyer at the current transaction price of the information goods and pays the selling price to the information goods seller; The feedback price is derived by receiving the appropriate price forecast value or price adequacy evaluation according to the utility value of the information material from the buyer of the information material, and the difference between the previous feedback price and the appropriate price forecast value is compromised by a tradeoff coefficient or the appropriate price forecast value. A feedback price calculator that weights the predicted value at the feedback point and reflects the weighted average or adjusts the feedback price according to a predetermined option for the price adequacy evaluation; And update the feedback price to the transaction price for the information goods within the price range specified by the seller, or update the upper or lower limit of the price range to be the transaction price according to the deviation direction if the feedback price is out of the specified price range. It further includes;

Preferably, the system of the present invention further comprises a personal information store which contains information goods sold by the users of the online exchange as sellers of information goods and information goods purchased as information goods buyers.

Preferably, the system of the present invention is a transaction target information including the ID of the transaction target information and information sellers, the number of sales of information and the cumulative amount of sales, current transaction price and feedback price / price range / transaction price changes, etc. An exchange database that continuously maintains and manages the related information and feedback price calculation related information including the information on the appropriate price prediction or price adequacy evaluation, the timing of the presentation, the inflation rate and the update time of the information presented by information buyers; It includes more.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, terms or words used in the present specification and claims should not be construed as being limited to the common or dictionary meanings, and the inventors should properly explain the concept of terms in order to best explain their own invention. Based on the principle that can be defined, it should be interpreted as meaning and concept corresponding to the technical idea of the present invention. Therefore, the embodiments described in the specification and the drawings shown in the drawings are only the most preferred embodiment of the present invention and do not represent all of the technical idea of the present invention, various modifications that can be replaced at the time of the present application It should be understood that there may be equivalents and variations.

1 is a schematic configuration diagram of an online information transaction system according to an embodiment of the present invention.

As shown, in the present invention, the information goods seller 10 first accesses the online exchange 30 through a communication network, and then sells the information object to be sold to the information goods receiver 31 at the initial transaction price (list price). And register a price range. Here, the online exchange 30 is a kind of cyber market prepared for information goods trading, and is implemented by a large-capacity server built on a wired or wireless internet.

The upper and lower limits of the price range may be determined by calculating a predetermined rate based on the initial transaction price (listed price) or may be freely determined by the information goods seller 10, and may be adjusted later by the information goods seller 10. have.

The transaction target information material means any information, knowledge, or content that is digitized that can be a transaction target with usefulness. For example, the transaction target information material is knowledge, information, papers, reports, technical data, analytical data, counseling data, know-how, secrets, local information, various forms and forms of knowledge information content, as well as music, movies, animations, It also includes cultural content such as flash, video, lectures, lectures, e-books, and e-newspapers. However, the present invention is not limited to this.

At the time of registration of the transaction target information material, the information goods seller 10 preferably adds a brief introduction to the information material. The brief introduction information is the basic data for the information material buyer 20 to predict the utility of the information material in advance when the information material is traded.

Registration of the transaction target information material as described above is preferably operated on a membership system. Therefore, it is preferable that the information goods seller 10 accesses the online exchange 30 and registers before registering the information goods.

When the information object seller receives and registers the information object to be traded, the online exchange 30 receives the information material at the initial transaction price (list price) determined by the information material seller 10 in the information material listing unit 32. Start selling. In the present invention, such information material sales start is called listing.

Receipt, registration, and listing of the above-described information subject to the transaction is cumulative by different information sellers (10). Therefore, as time passes, the number of information items listed on the online exchange 30 continuously increases.

On the other hand, in parallel with the reception, registration and listing of the information material as described above, the information material buyer 20 wishing to purchase the information material is connected to the online exchange 30 to search for the information material to be purchased. The information material buyer 20 is preferably a person subscribed to the online exchange 30 as a member. The search for information goods by the information goods buyer 20 includes a category, a search term, member information (ID) of the information goods seller 10, a price (highest price first, lowest price first), the number of sales, the accumulated accumulation amount, the registration date, and the update. Search by date or the like is possible. However, the present invention is not limited thereto.

When the information material buyer 20 finds an information material to be purchased in the information material search process, the information material buyer 20 pays the price based on the current transaction price and purchases the information material. The download of the information object to be traded and the payment of the transaction price are made in the information goods transaction brokerage unit 33 of the online exchange 30 and the payment of the price can be made by a conventional payment means. For example, the payment can be credit card payment, mobile phone payment, ARS payment, cyber gift card payment. However, in a more preferred method, the information goods buyer 20 pre-purchases the electronic money from the online exchange 30 and pays for the information goods purchase by the purchased electronic money. As such, when the electronic money is operated, it is preferable that the online exchange 30 allocates an electronic money account to the information material buyer 20 and continuously manages the usage history (purchase, use, etc.) of the electronic money.

When the payment for the information goods is paid by the information goods purchaser 20, the remaining price limiting a predetermined fee from the paid price is paid to the information goods seller 10. Payments are accumulated cumulatively in the sales amount account assigned to the information goods seller 10. The information goods seller 10 may cash out the application when the amount accumulated in the sales amount account exceeds a predetermined standard.

On the other hand, if the information material buyer 20 does not find the desired information material during the information material search process, the information material buyer 20 may enter a description and request for the information material that is considered necessary or useful, and Descriptions and requests for necessary information materials received from the information material buyer 20 are disclosed for the members of the online exchange 30 to view.

The information goods buyer 20 purchases the information goods and then presents an estimate of the appropriate price or evaluates the appropriateness of the price. Specifically, the information material buyer 20 purchases and uses the information material and then accesses the online exchange 30 through a communication network. Then go to the Valuation of Purchase Information Goods menu, select the information material that you have purchased, enter an appropriate price forecast for that information material or select an option for price adequacy based on the actual usefulness of the information material and other available information. do.

Preferably, a reward is provided for the above-described actions to induce an active prediction and evaluation of the information goods buyer 20. Compensation is preferably paid in electronic money used for the exchange of information on the online exchange 30, but the present invention is not limited thereto.

In addition, in the case of a reasonable price prediction value, it is preferable to limit the input range in order to prevent the information material buyer 20 from artificially manipulating the price. For example, the user may be able to enter an appropriate price forecast within the range of 200% to 50% of the purchase price.

When the appropriate price prediction or price adequacy evaluation of the information material is input to the online exchange 30 as described above, the feedback price calculator 34 of the online exchange 30 calculates the feedback price by reflecting the appropriate price prediction or price adequacy evaluation. And, the transaction price update unit 35 updates the calculated feedback price to the transaction price for the information goods within the price range specified by the information goods seller 10, and if the feedback price is above or below the specified price range, the upper limit price If it is below the lower limit, the lower limit is updated to the transaction price. In subsequent transactions, the updated transaction price is presented to the information goods buyer 20.

The feedback price is automatically calculated and calculated in real time whenever an appropriate price prediction value or price adequacy evaluation is presented by the information material purchaser 20. In this case, if the feedback price is out of the price range specified by the information goods seller 10, the online exchange 30 preferably informs the information goods seller 10, wherein the information goods seller 10 sets the price range of the information goods. You can adjust it to follow the feedback price, or stick to it so that the price you want is the transaction price. The specific manner of calculating the feedback price will be described later in detail.

As described above, the purchase price of the information goods is presented by the buyer of the information goods 20 or the appropriateness of the price adequacy evaluation, and the feedback price is reflected to reflect the transaction price is updated, the transaction price of the information goods will continue to change after listing.

In general, if the current transaction price is undervalued relative to the usefulness of the information material, the price of the information material will tend to be raised. If the current transaction price is overvalued relative to the usefulness of the information material, the price of the information material will tend to be lowered. However, the degree of upward or downward depends on the pricing model of the present invention.

On the other hand, the online exchange 30 allocates a personal information storage 40 to each member. The personal information storage 40 includes a web hard or web folder assigned to a mass storage medium as well as a physical database.

The personal information store 40 stores the information sold by the member of the online exchange as the information store seller 10 and the information material purchased as the information store buyer 20, preferably useful through web surfing It may be possible to include additional data or information.

The online exchange 30 is a transaction including the ID of the subject information and the seller of the information goods 10, the number of information goods sales and the cumulative amount of sales, the current transaction price and the feedback price / price range / transaction price changes, etc. Information related to the target information goods and feedback price calculation related information including the appropriate price forecast or price adequacy evaluation, information timing, price inflation rate and update time point presented by the information goods buyers 20 are continuously managed. A large exchange database 50 is provided.

Hereinafter, the process of calculating the feedback price of the information material according to the pricing model proposed by the present invention will be described in detail. In order to explain the necessity of the pricing model proposed by the present invention, first, various attributes of the information material will be described.

The cost of producing information materials is the implicit and non-monetary concept of time and effort (except for cultural content such as music and movies). In addition, production costs are only entered at the time of initial production and update of information materials, and can be immediately supplied indefinitely without additional costs. The information assets should not be fully disclosed until the transaction of the information assets is completed. Purchased information materials can be used permanently. Therefore, it is not necessary to purchase the information material again next time. The timeliness of the information material changes with the passage of time, and the magnitude of its utility also changes. The information material A, the information B, the information C, and the information D are accumulated and processed to create a new information material E.

As mentioned above, information goods are different from general goods or services. Therefore, in order for information goods to become a kind of economic goods and be actively traded, a new pricing model is needed, not a general principle of supply and demand.

To help the understanding of the present invention, first, the principle of determining the price of general goods and services will be explained.

The transaction price of a general good or service is determined by supply and demand and is automatically balanced by the invisible hand.

Demand means the total amount of goods and services that consumers are willing to purchase for each price over a period of time, or the amount the consumer is willing to pay for each quantity. A representative form of the demand curve is shown in FIG.

Supply means the total amount of goods and services that producers intend to sell for each price over a period of time, or at least the amount they must receive for each quantity. A representative example of the supply curve is shown in FIG.

The price of a general good or service is determined at the equilibrium point where the demand curve and the supply curve meet as shown in FIG. 4, and when the price is out of the equilibrium price, excess demand or oversupply occurs and automatically converge toward the equilibrium price.

What is important here is that demand and supply, especially demand, are not known in advance and the curve itself changes continuously due to various external factors.

However, suppliers can roughly forecast demand and set prices in consideration of production costs per unit, and determine the location and direction of equilibrium points by looking at whether the excess demand or oversupply occurs as a result of a certain period of operation. You can continue to converge to a constantly changing balance that is invisible. In other words, for suppliers, who set the price, excess demand and oversupply are signals and criteria that help to find a balance.

On the other hand, if the demand and supply of information materials are represented graphically as shown in Figs.

As shown in Figure 5, the demand curve of the information goods, like the general demand curve of goods, if the price rises, the number of buyers to buy is reduced, and if the price decreases, the number of buyers to buy is increased, Form.

The problem is the supply curve of information materials. Information materials are only incurred at the time of their first production and can be supplied and sold indefinitely at no additional cost. Therefore, neither the concept of cost per unit nor the quantity of supply is necessary. Therefore, the information goods seller would like to sell the information goods at a price above the minimum sales price and the quantity supplied at each price above the minimum sales price is infinite, so the supply curve of the information goods is not a curve, as shown in FIG. It is in the form of a plane that is horizontally above the price level (minimum selling price).

FIG. 7 is the result of combining FIG. 5 and FIG. Referring to the drawings, it can be seen that in the case of information materials, there is no balance between supply and demand, and no excess demand or excess supply occurs.

That is, in the case of information goods, as in the case of general goods, there are no pricing criteria and signals of oversupply or excess demand. In addition, the cost of producing information materials is not the cost of the explicit and monetary concept, but the cost of the implicit and non-monetary concept of time and effort. Therefore, even if prices are in a distorted state, there is no way for information sellers to know them in detail, and there is a lack of economic incentives to actively seek and converge on a reasonable price. Therefore, the price of information goods is very likely to remain distorted.

If the buyer of the information goods has complete knowledge of the information goods to be purchased in advance, the proposed value will be compared with the utility value of the information goods to determine whether to purchase them. However, due to the nature of the information goods, before the purchase of the information goods buyers do not fully know about the information goods will not be able to trust the price presented. As a result, buyers of information goods have no choice but to hesitate or give up their purchases, and even if they make purchases, they will no longer participate in the transaction once they are disappointed with the distorted price.

Therefore, in order to activate the trading of information goods, a new pricing model corresponding to the characteristics of information goods is required.

To this end, the present invention utilizes a fair price forecast or price adequacy assessment provided by information buyers after a transaction. As described above, since the information material is purchased, the information material can be read and used again in the personal information storage at any time, so there is no need to purchase the information again later. Therefore, buyers of information goods can offer reasonable price forecasts or price appraisal for the information goods with reasonable expectations in an objective state that has left their interests. In addition, these predictions and evaluations are more valid because they are based on the actual utility of the future prospective buyers who have similar objectives and interests, and after using the information material.

In addition, if reasonable price estimates or price appraisal estimates reflecting the reasonable expectations of individual buyers are compromised or averaged to derive reasonable and collective expectations (feedback prices) of the entire buyer group, the errors of the predictions of the individual expectations cancel each other out. As a result, the size of the forecast error is reduced, and the feedback is more precisely considered in consideration of the difference in forecast value due to the difference in forecast time of individual expectations, the time value of money, and the change in forecast value due to the update of information. You can go higher than that.

Therefore, the potential buyers of information goods consider this feedback price to be reasonable, reliable, and reasonable, which makes the transaction price of information goods credible.

In other words, the pricing model according to the present invention provides price reliability by providing reliability in the transaction price of information goods and providing forecast values in an unrealistic but reasonable way to the information goods sellers on economic variables called fair prices that cannot be confirmed by their characteristics. It creates a standard and signal for.

In addition, the present invention, such that the feedback price is updated to the transaction price only within the price range set by the seller, and respects the rights and intentions of the information goods seller by allowing the seller to adjust the price range later.

Then, the process of calculating the feedback price using the fair price prediction value or the price adequacy evaluation inputted by the online exchange from the buyer who purchased the information material by the pricing model proposed by the present invention will be described in more detail.

The present invention provides three embodiments in the feedback price calculation method, but the present invention is not limited thereto.

[First Embodiment]

Estimated fair price suggested by the buyer of information goods is reflected in the feedback price by the following equation (1).

는 절충계수로서 0보다 크고 1보다 작거나 같다. 상기

는, (t)시점과 (t-1)시점 사이에 경과된 시간이 길어질수록 그 값이 증가하며 예측가치가 모두 소멸한다고 가정하는 일정기간(예측가치 소멸시효)이상 경과된 경우 그 값이 1이 된다. 구체적인 수치는 온라인 거래소의 운영회사가 설계하여 적용한다. here,

Is a compromise factor that is greater than 0 and less than or equal to 1. remind

The value increases as the time elapsed between (t) and (t-1) becomes longer, and the value is 1 if it has passed more than a certain period of time (predicted value extinction aging) assuming that all of the predicted value is extinguished. Becomes Specific figures are designed and applied by the operator of the online exchange.

의 설계는 0~1일=0.10, 1~2일=0.11, 2~3일=0.12, 3~4일=0.13, 4~5일=0.14 ............. 89일~90일=0.99, 90일 이상=1 이 되며 각 피드백 시점에서 (t)시점과 (t-1)시점 사이에 경과된 시간을 계산하여 위의 설계에서 해당하는 값을 수학식 1의 연산에 적용한다.For example, suppose you start at 0.1 and assume an increment value of +0.01 per day.

The design of 0 ~ 1 day = 0.10, 1-2 days = 0.11, 2-3 days = 0.12, 3-4 days = 0.13, 4-5 days = 0.14 ............. 89 days ~ 90 days = 0.99, 90 days or more = 1 and the time elapsed between (t) and (t-1) at each feedback time point is calculated. Applies to operations.

의 값을 증가시키는 방법은 상기 덧셈의 연산 이외에도 시간의 흐름에 따른 예측가치의 변화를 합리적으로 반영할 수 있는 다양한 연산이 가능함은 물론이다.In addition, in proportion to the time elapsed between the time (t) and the time (t-1)

In addition to the addition operation of the method of increasing the value of can be a variety of operations that can reasonably reflect the change in the predicted value over time, of course.

은 (t-1)시점까지 피드백이 이루어진 정보재의 전기 피드백 가격이고, (t-1)시점은 n-1 번째 구매자가 적정가격 예측치를 제시한 시점이다(n=1인 경우

은 상장가이다),

Is the electric feedback price of the information material that has been fed back until (t-1), and (t-1) is the time when the n-1th buyer presented the fair price forecast (n = 1).

Is the listing price),

에는 1부터 n-1 번째 구매자가 제시한 적정가격 예측치가 절충계수에 의해 예측가치만큼의 비중에 의해 절충되어 있다. 각 적정가격 예측치의 예측가치는 현재의 피드백 시점을 기준으로 각 예측치가 제시된 시점이 현재 시점과 가까울수록 높으며 제시된 시점이 과거로 멀어질수록 기하급수적으로 줄어들다가 일정시점이 지나면 예측가치는 소멸된다고 가정한다.

In Eq. 1, the fair price predictions presented by the n-1 th buyers are compromised by the proportion of the predicted value by the trade-off coefficient. The estimated value of each fair price forecast is based on the current feedback point, and the higher the point at which the forecast is presented closer to the present point in time, the exponentially decreases as the point in time becomes farther in the past, and then disappears after a certain point. do.

는 (t)시점에서 n번째 정보재 구매자가 제시한 적정가격 예측치이고,

는 n번째 정보재 구매자가 제시한 적정가격 예측치

까지 절충되어진 (t)시점의 정보재 피드백 가격이다. 이 피드백 가격이 가격범위 안에 있는 경우 (t)시점 이후 (t+1)시점까지는

가 정보재의 거래가격으로 제시되어진다.

Is the fair price forecast given by the nth buyer of the information product at (t),

Is the fair price forecast suggested by the nth buyer of the information product.

It is the price of information material feedback that is negotiated until (t). If this feedback price is within the price range, from (t) to (t + 1)

Is presented as the transaction price of the information material.

은 (t-1)시점부터 (t)시점까지의 물가상승률을 감안하여 (t)시점을 기준으로 환산한다. 이러한 경우,

은

로 치환된다. 여기서, i는 (t-1)시점과 (t)시점 사이의 인플레이션을 감안한 해당 기간의 물가상승률이다.Preferably,

Is converted based on (t), taking into account the inflation rate from (t-1) to (t). In this case,

silver

Is replaced by. Where i is the inflation rate for that period, taking into account inflation between (t-1) and (t).

의 값에서 +0.1을 더 연산하여 그 값을 상향 조정할 수 있다. On the other hand, when an information material is updated, the utility value of the information material generally changes. Thus, before and after the update, the predicted value of the predictions presented before the update is relatively reduced. Therefore, at the feedback point after the update point on the basis of the update time, it is preferable to adjust the compromise coefficient more than the value applied in proportion to the elapsed time so that the weight of the prediction value before the update is reflected in the feedback price is reduced. For example, if an update is made, the feedback point is applied in proportion to the elapsed time.

You can further increase the value by calculating +0.1 from the value of.

값의 크기를 달리할 수 있다(업데이트 정도가 강할수록 상향되는 값도 커짐). In addition, when the information is updated, the update intensity is selected (strong, medium, or weak) by the seller of the information and then increased according to the degree of update.

You can vary the size of the value (the stronger the update, the larger the upward value).

If a reasonable price forecast is provided a predetermined number of times after the update of the information asset (for example, about 10 times), the relative decrease in the predicted value of the forecast presented before the update by the update is mostly reflected in the feedback price. The adjustment of the compromise factor value can be stopped.

의 상향조정 방법은 상기 덧셈의 연산 이외에도 업데이트로 인한 예측가치의 변화를 합리적으로 반영할 수 있는 다양한 연산이 가능함은 물론이다.In addition, due to the update

In addition to the addition operation of the addition method of the various additions that can reasonably reflect the change in the predicted value due to the update is possible, of course.

Concrete example

의 설계 및 적용 방법은 상기 실시예에 따름(경과시간에 따른

의 증가값은 0~1일 = 0.1에서 시작해서 1일 마다에 +0.01 이며, 업데이트로 인한

의 상향조정 값은 +0.1이다).-

Design and application method according to the above embodiment (depending on elapsed time

The increment of increases from 0 to 1 day = 0.1 and starts at +0.01 per day.

The upward revision of is +0.1).

-Table 1 below shows the fair price forecasts and forecasts presented by buyers of information goods.

2% inflation occurred between January 11, 2000 and February 10, 2000 (between t = 1 and t = 2).

The transaction target information material is updated by the informant seller on March 10, 2000 (between t = 2 and t = 3).

Based on the above example, the feedback price at each point in time is calculated as follows (decimal point rounded off):

(t = 0) the listing price of $ 500 remains the feedback price

Feedback price at (t = 1) = 500 + 0.2 (600-500) = $ 520

Feedback price at (t = 2) = 520 (1 + 0.02) + 0.4 [700- {520 (1 + 0.02)}] = 598

Feedback price at (t = 3) = 598 + (0.64 + 0.1) (400-598) = 451 won

Feedback price at (t = 4) = 451 + 1 (750-451) = 750 won

Second Embodiment

The buyer's suggested fair price estimate is reflected in the feedback price by Equation 2 below. In this feedback method, weighted averages are weighted by the predicted value of individual forecasts at the time of feedback for the appropriate price forecasts provided by each buyer of information goods. In this case, the closer the time point at which the individual fair price prediction value is presented to the feedback time point, the higher the weighting.

는 t_k 시점에서 k 번째 정보재 구매자가 제시한 적정가격 예측치이고 k=0인 경우는 정보재에 대한 상장가이다.here,

Is the fair price forecast given by the k th buyer of the information goods at time t _k , and k = 0 is the listed price for the information goods.

는 t_k 시점에서 k 번째 정보재 구매자가 제시한 적정가격 예측치의 피드 백 시점(t_n 시점)에서의 예측가치이고,

Is the predicted value at the time of feedback (t _n ) of the fair price forecast provided by the k th buyer of the information goods at t _k ,

는 가중치로 그 총합이 1이고.

Is a weighted sum of one.

은 t_n 시점까지 제시된 적정가격 예측치들을 각 예측치들이 피드백 시점에 가지는 예측가치로 가중 평균한 t_n 시점의 피드백 가격이다.

Is the appropriate value to the predicted values given point in time t _n is the predicted value to each feedback value of the time t _n by a weighted mean prediction value with the feedback point.

또는

는 피드백 시점 t_n 을 기준으로 과거에 제시된 적정가격 예측치일수록 그 값이 상대적으로 작으며, k또는 f가 n에서 0으로 감소할수록 특정 기준 값으로부터 점차 감소시키거나, k또는 f가 0에서 n으로 증가할수록 특정 기준 값으로부터 점차 증가시킨다.remind

or

The value of the previous fair price estimate based on the feedback time point t _n is relatively small, and as k or f decreases from n to 0, it gradually decreases from a specific reference value, or k or f goes from 0 to n. As it increases, it gradually increases from a specific reference value.

또는

는 k 또는 f가 n에서 0으로 감소할 때 또는 0에서 n으로 증가할 때 그 값을 변화시킴에 있어서, 각 시점이 속하는 특정 주기(예측가치 변동주기)를 기준으로 특정 주기의 같은 사이클 내에서는 동일하게 유지되다가 각 시점이 속하는 특정 주기의 사이클이 바뀌면 시간(사이클이 바뀐 회수)에 비례해 변동된다. remind

or

Changes the value when k or f decreases from n to 0, or increases from 0 to n, within the same cycle of a specific period relative to the particular period (predicted value change period) to which each point belongs. It remains the same and then changes in proportion to the time (number of cycles changed) as the cycle of the particular period to which each point belongs is changed.

는 k=n인 경우를 기준 값 100으로 정하고 k가 n에서 0으로 감소할수록 그 값을 감소해 나갈 수 있다(감소법). 여기서, k를 감소해 나갈 때 각 시점이 속하는 예측가치 변동주기의 사이클이 바뀌지 않으면 k가 감소하더라도

는 동일하게 유지되고 사 이클이 바뀌면 시간(사이클이 바뀐 회수)에 비례해 사이클이 바뀐 회수당 -1씩

에 연산한다.For example, assume that one cycle of the forecast value change period is 1 day,

The value of k is set to 100 as the reference value, and the value can be decreased as k decreases from n to 0 (reduction method). In this case, if k decreases if the cycle of the period of change in the forecasting value to which each time point falls does not change,

Remains the same and, if the cycle changes, -1 per cycle change in proportion to the time (number of cycles changed)

Calculate on

를 k=0인 경우를 기준 값 100으로 정하고 k가 0 에서 n으로 증가할수록 그 값을 증가해 나갈 수 있다(증가법). 여기서, k를 증가해 나갈 때 각 시점이 속하는 예측가치 변동주기의 사이클이 바뀌지 않으면 k가 증가하더라도

는 동일하게 유지되고 사이클이 바뀌면 시간(사이클이 바뀐 회수)에 비례해 사이클이 바뀐 회수당 +1씩

에 연산한다.Contrary,

If k = 0, the reference value is set to 100, and the value can be increased as k increases from 0 to n (increase). In this case, if k increases, if the cycle of the forecast value change period to which each time point belongs does not change,

Remains the same and +1 per cycle change in proportion to the time (number of cycles changed) when the cycle changes

Calculate on

의 값을 변화시키는 방법에 있어서 상기 덧셈 또는 뺄셈의 연산 이외에도 시간의 흐름에 따른 예측가치의 변화를 합리적으로 반영할 수 있는 다양한 연산이 가능함은 물론이다.In addition, as the k increases or decreases

In addition to the addition or subtraction operation in the method of changing the value of the various operations that can reasonably reflect the change in the predicted value over time is possible, of course.

에 반영되는 정도가 작아진다. 나아가, 피드백 시점 t_n 을 기준으로 예측가치가 모두 소멸한다고 가정하는 일정 기간(예측가치 소멸시효) 이상 경과한 적정가격 예측치에 대해서는 상기 수학식2에 따른 연산에서 제외할 수 있다.The method according to Equation 2 above is weighted and weighted by the predicted value of each predicted value at the feedback point, and the weighted average is based on the feedback point t _n .

The degree reflected in the smaller. Furthermore, the fair price forecast value that has elapsed for a predetermined period (prediction value extinction aging) assuming that all of the predicted values disappear based on the feedback time point t _n may be excluded from the calculation according to Equation 2 above.

For example, assuming that the expected value extinction prescription is 100 days, if there is a continuous trading since the listing and the feedback price is calculated at the present time 150 days after the initial listing, only the predictions presented up to 100 days before the current listing Predictions included in the feedback by 2 and presented in the period between 100 and 150 days ago are excluded from the feedback (except when the weighting numerator becomes zero or less for the reduction method).

는 t_k 시점부터 t_n 시점까지의 물가상승률을 감안하여 t_n 시점을 기준으로 환산한다. 이러한 경우,

는

로 치환된다. 여기서, i는 t_k 시점과 t_n 시점 사이의 인플레이션을 감안한 해당 기간의 물가상승률이다.Preferably, the

Is converted based on the time t _n in consideration of the inflation rate from time t _{k to} time t _n . In this case,

Is

Is replaced by. Where i is the inflation rate for that period, taking into account inflation between t _k and t _n .

의 값에서 -10을 더 연산하여 그 값을 하향 조정할 수 있다. On the other hand, when an information material is updated, the utility value of the information material generally changes. Therefore, before and after the update, the predicted value of the predictions presented before the update is relatively reduced. Therefore, at the feedback point after the update point based on the update point, a value applied in proportion to the elapsed time for the predicted value for the prediction point presented before the update so that the weight of the forecast value presented before the update is reflected in the feedback price can be reduced. It is preferable to adjust downward from. For example, if an update is made, at a later feedback point, only the predicted value for the prediction presented before the update is applied in proportion to the elapsed time.

You can further adjust -10 by calculating -10 from the value of.

값의 크기를 달리할 수 있다(업데이트 정도가 강할수록 하향되는 값도 커짐).In addition, when the information is updated, the update intensity is selected (strong, medium, or weak) from the seller of the information and then downgraded according to the degree of update.

You can vary the size of the value (the stronger the update, the larger the downward value).

The feedback method according to Equation (2) is a reasonable feedback method that can accurately reflect the difference in the predicted value due to the difference in prediction time, the time value of money, and the change in the predicted value due to the update of the information material.

Concrete example

의 적용 방법은 상기 실시예의 감소법에 따름(예측가치 변동주기의 한 사이클은 1일이며,

는 k=n인 경우를 기준 값 100으로 정하고 k가 n에서 0으로 감소할수록 그 값이 시간(사이클이 바뀐 회수)에 비례하여 -1 의 연산에 의해 감소한다. 단, 사이클이 바뀌지 않으면 k가 감소하더라도 그 값은 동일하게 유지된다. 업데이트로 인한

의 조정 값은 -10이며 예측가치 소멸시효는 100일이다).-

The method of applying is according to the reduction method of the above embodiment (one cycle of the forecast value change period is 1 day,

The value of k is set to a reference value of 100, and as k decreases from n to 0, the value decreases by the operation of -1 in proportion to the time (the number of cycle changes). However, if the cycle does not change, the value remains the same even if k decreases. Due to update

The adjusted value of is -10 and the expected value extinction age is 100 days).

-The appropriate price forecasts and forecasts provided by buyers of information goods are shown in Table 2 below.

Inflation is not taken into account for faster understanding and easier example construction.

The transaction target information material is updated by the seller of the information on February 1, 2000 (between t = 3 and t = 4).

Based on the above example, the feedback price at each point in time is calculated as follows (decimal point rounded off):

(t = 0) the listing price of $ 500 remains the feedback price

Feedback price at (t = 1) = 500 {90 / (90 + 100)} + 600 {100 / (90 + 100)} = 552

Feedback price at (t = 2) = 500 {85 / (85 + 95 + 100)} + 600 {95 / (85 + 95 + 100)} + 700 {100 / (85 + 95 + 100)} = 605 won

Feedback price at (t = 3) = 500 {85 / (85 + 95 + 100 + 100)} + 600 {95 / (85 + 95 + 100 + 100)} + 700 {100 / (85 + 95 + 100 +100)} + 400 {100 / (85 + 95 + 100 + 100)} = 551

Feedback price at (t = 4) = 500 {45 / (45 + 55 + 60 + 60 + 100)} +600 {55 / (45 + 55

+ 60 + 60 + 100)} + 700 {60 / (45 + 55 + 60 + 60 + 100)} + 400 {60 / (45 + 55 + 60 + 60 + 100)} + 750 {100 / (45+ 55 + 60 + 60 + 100)} = 614 won

Feedback price at (t = 5) = 750 {20 / (20 + 100)} + 660 {100 / (20 + 100)} = 675

Third Embodiment

The price adequacy evaluation suggested by the information material buyer is reflected in the feedback price by the following equation (3).

는 조정계수로서 0보다 크거나 같고 1보다 작다. 구체적인 수치는 온라인 거래소의 운영 회사가 설계한다. (1+a)의 경우 전기 피드백 가격(가격범위 내에 있는 경우 자신이 구매한 가격)이 정보재의 효용에 비해 낮다는 것을 의미 하고, (1-a)의 경우 전기 피드백 가격(가격범위 내에 있는 경우 자신이 구매한 가격)이 정보재의 효용에 비해 높다는 것을 의미한다.

에 대한 구체적인 수치는 온라인 거래소가 여러 가지 옵션을 제공하고, 정보재 구매자가 특정 옵션을 선택하는 방식이 바람직하다.here,

Is an adjustment factor that is greater than or equal to 0 and less than 1. Specific figures are designed by the operating company of the online exchange. In the case of (1 + a), it means that the electric feedback price (if it is within the price range) is lower than the utility of the information material.In the case of (1-a), the electrical feedback price (in the price range) The price he purchased is higher than the utility of information materials.

The specific figure for the online exchange provides various options, and it is preferable that the information buyer purchases a specific option.

Equation 3 evaluates whether the buyer of the information goods does not present an estimate of the fair price, but whether the electricity feedback price (the price purchased by him or her, if it is within the price range) is appropriate or high compared to the utility of the information goods. That's the way it is. This method is not reasonable compared to the above two feedback methods, but it can be used when the information buyers lack prediction ability.

은 (t-1)시점까지 피드백이 이루어진 정보재의 전기 피드백 가격이자 가격범위 안에 있는 경우 (t)시점의 n번째 구매자가 구매한 가격이다. (t-1)시점은 n-1 번째 구매자가 가격적정성 평가를 제시한 시점이다(n=1인 경우

은 상장가이다).

Is the price of the electrical feedback of the information material for which feedback was made up to (t-1) and the price purchased by the nth buyer at (t) if it is within the price range. (t-1) is the point at which the n-1th buyer presented price appraisal (n = 1)

Is the listing price).

는 n번째 정보재 구매자의 가격적정성 평가와 그에 따른 옵션에 의해 조정된 (t)시점의 정보재 피드백 가격이다.

Is the information material feedback price at (t) adjusted by the nth information buyer's adequacy evaluation and options accordingly.

Concrete example

In order to evaluate the adequacy of the price of information goods in multiple stages, the evaluation stage is divided into several stages, and an adjustment factor is assigned to each stage as shown in Table 3 below. Each evaluation step can be further subdivided than shown in Table 3.

Evaluation stage  α (adjustment coefficient) Very high for utility -0.5 Slightly higher than utility -0.2 proper 0 Slightly lower than utility +0.2 Very low compared to utility +0.5

-List price is 1,000 won and the price adequacy evaluation selected by the buyer of information goods at each time point is shown in Table 4 below.

Viewpoint Price adequacy evaluation List price (t = 0) First (t = 1) Very high for utility Second (t = 2) proper Third (t = 3) Slightly higher than utility Fourth (t = 4) Slightly lower than utility

Based on the above example, the feedback price at each point in time is calculated as follows (decimal point rounded off):

(t = 0) the quoted price is the feedback price

Feedback price at (t = 1) = 1000 (1-0.5) = $ 500

Feedback price at (t = 2) = 500 (1 + 0) = $ 500

Feedback price at (t = 3) = 500 (1-0.2) = 400 won

Feedback price at (t = 4) = 400 (1 + 0.2) = 480 won

As in the above three embodiments, the feedback price is calculated by reflecting the appropriate price prediction or price adequacy evaluation presented by the information goods buyer, and the update of the transaction price using the feedback price and the price range and the price by the information goods seller. As the scope is adjusted repeatedly, the information price's transaction price converges to the actual fair price, and thus the information material's transaction can be made more active.

In addition, as shown in FIG. 8, the actual transaction price of the information material fluctuates in the process of repetition of inquiry, transaction, feedback price calculation, and price range adjustment as time passes after listing of the information material.

According to FIG. 8, if the transaction price of the information goods is at the lower limit, the transaction of the information goods is not induced, and if the transaction price of the information goods is at the upper limit, the transaction of the information goods is actively described as described above. However, the present invention is not limited thereto, and various modifications and variations are possible by those skilled in the art within the equivalent scope of the technical concept of the present invention and the claims to be described below. Of course.

In the present invention, the on-line exchange enables useful and valuable information goods to be traded at a reliable price through a pricing model that meets their characteristics as an economic product, thereby activating the trading of information goods and providing higher-level information. It is a space where ash can be produced, used and aggregated.

It allows information goods sellers to generate wealth through information goods transactions, and information goods buyers can easily access useful information goods and use necessary information goods at reasonable prices.

The commerce of information goods can produce consumer-oriented information goods, not producer-oriented ones, and the accumulation and easy access of information goods can improve the level of information goods produced and widen them.

It is a pricing method that considers the characteristics of information goods, and it gives reliability to the price of information goods that tend to remain distorted due to the characteristics of them, and it becomes a signal and reference for price decision of information goods sellers. It prevents you from staying, helping the seller to respond to changes in the situation more accurately, proactively and immediately.

Through the above effects, it is possible to give credibility to the price of information goods and to activate the trading of information goods, thereby maximizing social surplus as well as surplus of information goods sellers and buyers, and ultimately promoting information revolution more. Will be.

Claims (22)

(a) receiving a transaction object information material to which an initial transaction price (list price) has been given by the information material seller; (b) listing the information object to be traded on the online exchange to start selling the information material by the listed price; (c) selling the information goods to the information goods buyer at the current transaction price of the information goods and paying the sale price to the information goods seller; (d) deriving a feedback price based on the provision of a reasonable price prediction or price adequacy evaluation according to the utility value of the information goods from the information goods buyer; And (e) updating the feedback price with the transaction price for the information goods. The method of claim 1, In the step (a), further comprising the step of receiving a price range (upper and lower price) of the transaction from the information goods seller when receiving the transaction information material, In the step (e), the feedback price is updated with the transaction price for the information goods within the price range specified by the seller, and if the feedback price is out of the specified price range, the upper or lower limit price of the price range is changed according to the deviation direction. Updating as possible; the online information transaction method. The method of claim 2, The price range may be adjusted at any time by the information goods seller online information trading method. The method of claim 1, And the information goods seller and the information goods buyer access the online exchange through a wired or wireless internet. The method of claim 1, In the step (a), further comprising the step of uploading the transaction target information material from the information material seller, In the step (c), further comprising the step of downloading the transaction target information material to the information material buyer method. The method of claim 1, (f) receiving a brief description and request for an information material from a buyer of the information material that is deemed necessary or useful; And (g) releasing a description and request for necessary information materials received from the information goods buyer to the information goods seller (s); the online information goods trading method further comprising: The method of claim 1, (h) providing a repository of a personal information material to a user of the online exchange. The method of claim 7, wherein And the information material sold by the user of the online exchange as an information material seller and the information material purchased as an information material buyer in the personal information material storage. The method of claim 1, wherein in step (d), Estimated fair price suggested by the buyer of information goods is reflected in the feedback price by the following equation 1, <Equation 1>

here,

Is a compromise factor that is greater than 0 and less than or equal to 1,

Is the electric feedback price of the information material that has been fed back until (t-1), and (t-1) is the time when the n-1th buyer presented the fair price forecast (n = 1)

Is the listing price),

Is the fair price forecast given by the nth buyer of the information product at (t),

Is the fair price forecast suggested by the nth buyer of the information product.

Online information asset trading method characterized in that the information material feedback price at the time of (t) that is negotiated until. The method of claim 9, remind

The value increases as the time elapsed between (t) and (t-1) becomes longer, and the value is 1 if it has passed more than a certain period of time (predicted value extinction aging) assuming that all of the predicted value is extinguished. Online information transaction method characterized in that it becomes. The method of claim 9, remind

Is a price converted based on (t) time in consideration of the inflation rate from (t-1) to (t) time. The method of claim 9, Updating the listed information material at the request of the information material seller; The feedback point after the update based on the information material update time point

Is based on when the value of

Online information trading method characterized in that the upward applied relative to the value. The method of claim 1, wherein in step (d), Estimated fair price suggested by the buyer of information goods is reflected in the feedback price by the following equation (2), <Equation 2>

here,

Is the fair price estimate given by the k th buyer of the information goods at time t _k (if k = 0, the listing price for the information goods),

Is the predicted value at the time of feedback (t _n ) of the fair price forecast presented by the k-th buyer of the information goods at time t _k ,

Is a weighted sum of 1,

Online transaction information is re-presented to the prediction method for the fair value t _n time characterized in that each predicted value to the feedback value of the average of the time t _n with the weighted prediction value with the feedback point. The method of claim 13, remind

or

The value of the previous fair price estimate based on the feedback time point t _n is relatively small, and as k or f decreases from n to 0, it gradually decreases from a specific reference value, or k or f goes from 0 to n. Online information trading method characterized in that the increment gradually increases from a specific reference value as it increases. The method of claim 14, remind

or

Changes the value when k or f decreases from n to 0, or increases from 0 to n, within the same cycle of a specific period relative to the particular period (predicted value change period) to which each point belongs. An online information trading method characterized in that it remains the same and changes in proportion to the time (number of cycles changed) when the cycle of a specific period to which each time point belongs is changed. The method of claim 13, An online information trading method characterized in that the appropriate price forecast value that has elapsed for a predetermined period (predicted value extinction prescription period) assuming that all of the predicted values disappear is excluded from the calculation according to Equation 2. The method of claim 13, remind

Is a price converted on the basis of the time t _n in consideration of the inflation rate from the time point t _k to t _n . The method of claim 13, Updating the listed information material at the request of the information material seller; At the feedback point after the update point on the basis of the update date of the information material, the predicted value for the fair price forecast value presented before the update point is relatively lower than the predicted value for the fair price forecast value presented after the update point. How to trade online information. The method of claim 1, wherein in step (d), The price adequacy evaluation suggested by the information material buyer is reflected in the feedback price by the following Equation 3,  <Equation 3>

here,

Is an adjustment factor that is greater than or equal to 0 and less than 1,

Is determined by the option at which the buyer of the information goods at the time assessed the adequacy of the previous feedback price (the price purchased by them if they are within the price range),

Is the electric feedback price of the information material with feedback up to (t-1) time, (t-1) is the time when price adequacy evaluation of n-1 th buyer is made (n = 1)

Is the listing price),

Is the information material feedback price adjusted at the time of (t) adjusted by the price adequacy evaluation of the n th information material buyer. An information material receiving unit for receiving a transaction target information material to which an initial transaction price (list price) and a price range (upper limit value and a lower limit price) are given from an information material seller; An information material listing unit for starting the sale of the information material by the listed price by listing the information object to be traded on the online exchange; An information goods transaction brokerage unit that sells the information goods to the information goods buyer at the current transaction price of the information goods and pays the selling price to the information goods seller; The feedback price is derived by receiving the appropriate price forecast value or price adequacy evaluation according to the utility value of the information material from the buyer of the information material, and the difference between the previous feedback price and the appropriate price forecast value is compromised by a tradeoff coefficient or the appropriate price forecast value. A feedback price calculator that weights the predicted value at the feedback point and reflects the weighted average or adjusts the feedback price according to a predetermined option for the price adequacy evaluation; And update the feedback price to the transaction price for the information goods within the price range specified by the seller, or update the upper or lower limit of the price range to be the transaction price according to the deviation direction if the feedback price is out of the specified price range. Online information transaction system comprising a; update unit. The method of claim 20, And a personal information repositories containing information goods sold by the users of the online exchange as sellers of information goods and information goods purchased as information goods buyers. The method of claim 20, Information related to the subject matter, including information on the subject of the subject matter and the seller of the information, the number of information goods sold and the amount of the sale, the current transaction price and the feedback price / price range / transaction price change, and information buyer An exchange database for continuously managing feedback price calculation-related information including information on price predictions or price adequacy evaluations, presentation timings, inflation rate and update time periods, etc., which are presented by them; Information trading system.

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