JP5425684B2 - Information sharing effect measuring method, information sharing effect measuring system, and program - Google Patents

Description

  The present invention relates to measurement of information sharing effects of users in an organization in information collection performed via a communication network, and in particular, an information sharing effect measurement method and information sharing for measuring information sharing effects by various communications in an organization such as a company. The present invention relates to an effect measurement system and a program.

  There are the following two methods for measuring sharing efficiency in information sharing and knowledge sharing.

  The first information / knowledge sharing efficiency measurement method is based on industry standard data, and is an efficiency measurement based on the time required for information sharing in business. It is used by commercial product development / sales companies to show their effectiveness. ing. The advantage of the first information / knowledge sharing efficiency measurement method is that it is possible to estimate the efficiency before introducing the system without cost and time. The disadvantage of the first information / knowledge sharing efficiency measurement method is that it is standard. Since data is used, the accuracy is low.

  Another second information / knowledge sharing efficiency measurement method is a method of actually recording the work behavior of an employee by video shooting or the like, analyzing the work content, and measuring the efficiency. The advantage of the second information / knowledge sharing efficiency measurement method is that it can be accurately grasped because it is implemented individually for each company. The disadvantage of the second information / knowledge sharing efficiency measurement method is that This can be expensive and time consuming.

  Both shared efficiency measurement methods measure efficiency improvements by measuring time savings.

On the other hand, there are many known methods for promoting information sharing, such as a communication system and communication method using an operation history, and a community information sharing method and system, for use of the history in the system (for example, Patent Documents). 1 and 2).

JP 2005-333538 A JP 2000-222470 A

As described above, many methods and systems for the purpose of promoting information sharing have been known regarding the use of history in the system, but not used for measuring the information efficiency of the history itself.

In general, the efficiency of information sharing activities between members of an organization (hereinafter referred to as employees)
Efficiency = (Information sharing effect) ÷ (Time required for information sharing work)
Can be defined as

  In routine work, the above-mentioned “information sharing effect” required for work may often be considered unchanged (= constant), but in non-standard work in R & D and strategic departments, In many cases, the “time required for information sharing work” ≈ “time that can be spent for information sharing” is substantially constant. This is a case where information sharing is performed as much as possible within a certain time of business. In this case, the “information sharing effect” may increase due to the introduction of communication means (telephone, e-mail, Web, etc.) of various types of various systems. In addition, introduction of various new systems may affect existing sharing methods. For example, there is a case where the use of an extension telephone decreases due to an increase in the use of e-mail. In such a case, it is necessary not to evaluate the efficiency only on newly introduced various systems but to measure the “information sharing effect” including various conventionally used systems. In this way, in order to measure and evaluate efficiency, in addition to the conventional “time required for information sharing work”, the newly introduced various systems that can be used by employees and the conventional various systems are crossed. A method to measure “shared effect” is required.

  The present invention has been made in view of the above problems, and provides an information sharing effect measuring method, an information sharing effect measuring system, and a program for measuring the information sharing effect of information communicated by a plurality of types of communication means. There is to do.

  As communication means develop in organizations such as corporations, employees conduct information sharing activities using various systems (telephone, e-mail, Web, etc.) connected to a communication network. Various systems hold usage histories in their respective formats. For example, information such as outgoing / incoming histories and call times are recorded in the telephone system, and transmission / reception addresses are recorded and stored in the mail server. Therefore, the information sharing effect measurement system of the present invention collects these records from various systems and centralizes them into a common scale (for example, by converting the call time into information amount), thereby measuring within the organization ( Quantitatively calculate the “information sharing effect” (in-house). The efficiency of information sharing can be evaluated by evaluating the efficiency using the calculated “information sharing effect”.

That is, the information sharing effect measurement system of the present invention accumulates information communicated by a plurality of types of communication means on a predetermined premises, extracts information on a specific organization on the premises, and stores the information on the plurality of types of communication means. An information sharing effect measurement system that converts the history information into a common format and calculates the information sharing effect value of the specific organization, and periodically transmits information communicated by the plurality of types of communication means as history data. Collected, selected history data of a predetermined organization from the collected history data, extracted history data items specific to the communication from the selected history data, and converted into conversion data according to a predetermined conversion policy History storage means for storing history data in the history DB, history collection means for collecting the history data after conversion from the history DB, and the collected history data after conversion Based on a predetermined allocation table indicating that the specific individual belongs to a specific affiliation, the collected history data after conversion is converted into history data in a common format for the plurality of types of communication means, and evaluated. The history editing means stored in the data DB and the history data converted into the common format are read from the evaluation data DB, and a predetermined information amount weight corresponding to the media type determined for each communication means is read. The conversion information amount (Bk) is calculated by applying it to the number of bytes in the history data, and the shared effect value (Xk) is calculated by multiplying the calculated conversion information amount (Bk) by the media weight (Wk). For each individual (i) and each affiliation (j) in the organization, using an information sharing effect matrix (Aij, Bij) defined as the information flow between individuals and affiliations in the organization Serial and an information sharing effect evaluation means for storing in the shared effect value aggregated to the evaluation result DB,
The information sharing effect evaluation means calculates and aggregates the sharing effect value for each individual and affiliation in the organization for all history data converted and collected in the common format, and the information sharing effect matrix (Aij) , Bij) is constructed, the information sharing effect matrix (Aij, Bij) is diagonalized to calculate a norm value, and a means for determining the sharing effect value in the specific organization is included .

  In the information sharing effect measuring system according to the present invention, the information sharing effect evaluating means includes means for calculating the sharing effect value for each time period or each communication means.

  Further, in the information sharing effect measuring system of the present invention, the history data periodically collected by the history accumulating means is information collected from the private branch exchange system, and the data unique to the communication includes an arrival / departure number, a call start time And conversation time data.

  Further, in the information sharing effect measurement system of the present invention, the history data periodically collected by the history storage means is information collected from a mail server, and the data unique to the communication includes transmission / reception mail addresses, transmission times, and It consists of mail size data.

  In the information sharing effect measurement system of the present invention, the history data periodically collected by the history storage means is information collected from a Web system or a file server system, and data unique to the communication is an account name. , The access source IP address, access / browsing date / time, posting / browsing type, access destination, and transfer byte count data.

Further, the information sharing effect measuring method of the present invention accumulates information communicated by a plurality of types of communication means on a predetermined premises, extracts information on a specific organization on the premises, and stores the information on the plurality of types of communication means. An information sharing effect measuring method in an information sharing effect measuring system for converting the history data into a common format and calculating the information sharing effect value of the specific organization, the information sharing effect measuring system comprising: A history collection means, a history editing means, and an information sharing effect evaluation means, and the history storage means periodically collects and communicates information communicated by the plurality of types of communication means as history data History data for a given organization is selected from the selected history data, history data items specific to the communication are extracted from the selected history data, and converted according to a predetermined conversion policy. The history data obtained by converting the data into the history DB, the history collecting means collecting the converted history data from the history DB, and the history editing means collecting the collected data. Based on a predetermined assignment table indicating that a specific individual related to the converted history data belongs to a specific affiliation, the collected history data is converted into a common format for the plurality of types of communication means. Converting into history data and storing it in the evaluation data DB; and by the information sharing effect evaluation means, the history data converted into the common format is read from the evaluation data DB, and the media type determined for each communication means Applying a predetermined information weight corresponding to the number of bytes in the read history data to calculate the converted information amount (Bk), A shared effect value (Xk) is calculated by multiplying the calculated converted information amount (Bk) by the media weight (Wk), and an information sharing effect matrix (defined as information flow between individuals and affiliations in the organization) aij, using Bij), and storing in the personal (i) each and affiliation (j) the share aggregate effect value evaluation results for each DB in the tissues, by the information sharing effect evaluation means, the common For all history data converted into a format, the sharing effect value is calculated and aggregated for each individual and affiliation in the organization, and the information sharing effect matrix (Aij, Bij) is constructed, and then the information And calculating a norm value by diagonalizing the shared effect matrix (Aij, Bij) and determining the shared effect value in the specific organization .

Furthermore, the present invention extracts information on a specific organization in the premises from history data in which information communicated by a plurality of types of communication means in a predetermined premises is stored, and The information communicated by the plurality of types of communication means is periodically recorded as history data in a computer configured as an information sharing effect evaluation system that converts the history data into a common format and calculates the information sharing effect value of the specific organization. Collected history data of a predetermined organization is selected from the collected history data, history data unique to the communication is extracted from the selected history data, and the history data is converted into conversion data according to a predetermined conversion policy. Is stored in the history DB, the history data after the conversion is collected from the history DB, and the collected history data after the conversion is stored in the history DB. Based on a predetermined assignment table indicating that a specific individual belongs to a specific affiliation, the collected converted history data is converted into history data in a common format for the plurality of types of communication means, and evaluated. A step of storing in the data DB, and reading out the history data converted into the common format from the evaluation data DB, and setting a predetermined information amount weight corresponding to the media type determined for each communication means, The conversion information amount (Bk) is calculated by applying it to the number of bytes in the data, and the shared effect value (Xk) is calculated by multiplying the calculated conversion information amount (Bk) by the media weight (Wk). Using the information sharing effect matrix (Aij, Bij) defined as the flow of information between individuals and between affiliations, the above-mentioned common information for each individual (i) and affiliation (j) in the organization. And storing by aggregating effect value evaluation result DB, for all historical data collected is converted into the common format, and aggregated to calculate the shared effect value for each individual and for each belongs in the organization, After constructing the information sharing effect matrix (Aij, Bij), calculating a norm value by diagonalizing the information sharing effect matrix (Aij, Bij), and determining as a sharing effect value in the specific organization; It is comprised as a program for executing.

  According to the present invention, it is possible to quantitatively measure the information sharing effect from the automatically accumulated employee usage history. In addition to the conventional method based on time measurement, it is possible to quantitatively evaluate the efficiency in consideration of the information sharing effect. Furthermore, by analyzing the information sharing effect value in time series (daily, etc.), changes in the total amount of information sharing effect in the company before and after the introduction of various new information sharing systems, information for each communication means Changes in sharing effects can be grasped quantitatively.

It is a figure which shows the whole structure of the information sharing effect measurement system of one Example by this invention. It is a figure which shows the whole structure (voice system) of the information sharing effect measurement system of one Example by this invention. It is a figure which shows the whole structure (mail system) of the information sharing effect measurement system of one Example by this invention. It is a figure which shows the whole structure (Web system, file server system) of the information sharing effect measurement system of one Example by this invention. It is a figure which shows the structure of the log | history storage system in the information sharing effect measurement system of one Example by this invention. It is a figure which shows the processing flow of the telephone call history collection part of the log | history storage system in the information sharing effect measurement system of one Example by this invention. It is a figure which supplements description of the process (The call time is converted into the number of bytes) of the call history collection part of the log | history storage system in the information sharing effect measurement system of one Example by this invention. It is a figure which shows the processing flow of the communication log | history collection part of the log | history storage system in the information sharing effect measurement system of one Example by this invention. It is a figure which shows the processing flow of the browsing contribution log | history collection part of the log | history storage system in the information sharing effect measurement system of one Example by this invention. It is a figure which shows the structure of the information sharing effect evaluation system in the information sharing effect measurement system of one Example by this invention. It is a figure which shows conversion to the common format which stores the telephone call history of the information sharing effect evaluation system in the information sharing effect measurement system of one Example by this invention in evaluation data DB. It is a figure which shows the processing flow of the telephone call history edit part of the information sharing effect evaluation system in the information sharing effect measurement system of one Example by this invention. It is a figure which shows conversion to the common format which stores the mail communication log | history of the information sharing effect evaluation system in the information sharing effect measurement system of one Example by this invention in evaluation data DB. It is a figure which shows the processing flow of the mail log | history edit part of the information sharing effect evaluation system 7 in the information sharing effect measurement system of one Example by this invention. It is a figure which shows the conversion to the intermediate data of the log | history of posting to the web system with authentication in the information sharing effect measurement system of one Example by this invention. It is a figure which shows conversion to the intermediate data of the browsing history to the web type | system | group with authentication in the information sharing effect measurement system of one Example by this invention. It is a figure which shows the processing flow of the browsing contribution log | history edit part of the information sharing effect evaluation system 7 in the information sharing effect measurement system of one Example by this invention. It is a figure which shows conversion to the intermediate data of the browsing contribution log | history in the web system without authentication in the information sharing effect measurement system of one Example by this invention. It is a figure which shows conversion into the intermediate data of the browsing contribution log | history in the file server type | system | group system in the information sharing effect measurement system of one Example by this invention. It is a figure which shows the algorithm which calculates the information sharing effect matrix in the file server type | system | group system in the information sharing effect measuring system of one Example by this invention. It is explanatory drawing of the information sharing effect matrix in the file server type | system | group system in the information sharing effect measuring system of one Example by this invention. It is an example of the call log | history accumulate | stored in the private branch exchange system in the information sharing effect measurement system of one Example by this invention. It is an example of the communication history accumulate | stored in the electronic mail system in the information sharing effect measurement system of one Example by this invention. It is an example of the contribution | posting / browsing contribution log | history accumulate | stored in the web type | system | group and file server type | system | group system in the information sharing effect measurement system of one Example by this invention. It is an affiliation code table stored in the employee data DB in the information sharing effect measurement system of one embodiment according to the present invention. It is an employee code table stored in the employee data DB in the information sharing effect measurement system of one embodiment according to the present invention. It is a server affiliation code table stored in the employee data DB in the information sharing effect measurement system of one embodiment according to the present invention. It is an employee / resource allocation table stored in the employee data DB in the information sharing effect measurement system of one embodiment according to the present invention. It is an example of the log | history of the common format stored in evaluation data DB in the information sharing effect measurement system of one Example by this invention. It is a figure which shows the communication means and media conversion table stored in evaluation policy DB in the information sharing effect measurement system of one Example by this invention. It is a figure which shows the extension correspondence table stored in evaluation policy DB in the information sharing effect measurement system of one Example by this invention. It is a figure which shows the media weight evaluation table stored in evaluation policy DB in the information sharing effect measurement system of one Example by this invention. It is a figure which shows the information content evaluation table stored in evaluation policy DB in the information sharing effect measurement system of one Example by this invention.

  Hereinafter, an information sharing effect measurement system according to an embodiment of the present invention will be described in detail with reference to the drawings.

[Information sharing effect measurement system]
FIG. 1 is a diagram showing an overall configuration of an information sharing effect measurement system according to an embodiment of the present invention. The information sharing effect measurement system of the present embodiment quantitatively calculates the “information sharing effect” within the organization (in-house), and uses this calculated “information sharing effect” to evaluate the efficiency to share the information. More specifically, it is a system for evaluating the efficiency of a particular organization. More specifically, information communicated by a plurality of types of communication means in a predetermined premises is accumulated, and information on a specific organization in the premises is extracted. This is a system that converts the history data in a common format for various types of communication means and calculates the information sharing effect value of the specific organization. The information sharing effect measurement system according to the present embodiment includes, as examples including all the embodiments, for example, a voice terminal 1, an information terminal 2, a private branch exchange system 3, a mail server 4, an information providing system 5, and a history. A storage system 6 and an information sharing effect evaluation system 7 are provided.

  A voice terminal 1 (for example, a telephone) and an information terminal 2 (for example, a personal computer) used by a user are connected to a private branch exchange system 3, a mail server 4, and an information providing system 5 through a communication network 8, respectively. Assume a case where an in-house system capable of making calls, sending / receiving emails, and posting / viewing information is configured. In addition, a history storage system 6 and an information sharing effect evaluation system 7 are connected to the communication network 8.

  The history storage system 6 periodically collects information communicated by a plurality of types of communication means as history data, selects history data of a predetermined organization from the collected history data, and is specific to the communication from the selected history data. The history data item is extracted and converted into conversion data (for example, the number of bytes) according to a predetermined conversion policy, and the history DB 64 has a function of holding the history data in the history DB 64, and the private branch exchange system 3 and the mail server 4 Alternatively, the usage history (information history data) is collected periodically from the information providing system 5.

  The information sharing effect evaluation system 7 collects post-processing history data according to the conversion policy from the history DB 64 and assigns a predetermined assignment indicating that a specific individual related to the collected post-processing history data belongs to a specific affiliation. Based on the table (FIG. 28), the collected history data after processing is converted into history data in a common format for the plurality of types of communication means, stored in the evaluation data DB 79, and converted into a common format from the evaluation data DB 79. Read the converted history data, apply a predetermined information amount weight corresponding to the media type determined for each communication means to the number of bytes in the read history data, calculate the converted information amount (Bk), Multiplying the calculated conversion information amount (Bk) by the media weight (Wk) to calculate the shared effect value (Xk), and information between individuals and affiliations in the organization Using the information sharing effect matrix (Aij, Bij) defined as a flow, it has a function of summing up shared effect values for each individual (i) and each affiliation (j) in the organization and storing them in the evaluation result DB 70 The history is collected from the history storage system 6 and the information sharing effect is evaluated. Further, the information sharing effect evaluation system 7 calculates and summarizes the sharing effect value for each individual and affiliation in the organization for all history data converted into a common format and collects the information, and the information sharing effect matrix (Aij) , Bij) is constructed, the information sharing effect matrix (Aij, Bij) is diagonalized to calculate the norm value, and the function is determined as the sharing effect value in the specific organization.

  If the history storage system 6 is connected, the intermediary communication network may be a physically different network as shown in FIGS. The information sharing effect evaluation system 7 only needs to be able to communicate with the history storage system 6. For example, in the example of the voice system shown in FIG. 2, the voice terminals 1 and 1a can communicate with the private branch exchange system 3, the history storage system 6, and the information sharing effect evaluation system 7 via a telephone (extension) network. Connected. In the example of the mail system shown in FIG. 3, the information terminal 2 is communicably connected to the mail server 4, the history storage system 6, and the information sharing effect evaluation system 7 via the IP network. In the example of the Web system shown in FIG. 4, the information terminal 2 is communicably connected to the information providing system 5, the history storage system 6, and the information sharing effect evaluation system 7 via the IP network.

  As shown in FIG. 22, the private branch exchange system 3 has a caller ID (or SIP-URL as the call terminal) as a call history of telephone calls made by telephone exchange within the private branch exchange system 3 installed. Information), incoming call number (or information that can identify the calling terminal such as SIP-URL), call start time, call end time, completion status, and the like.

  As shown in FIG. 23, the mail server 4 holds a transmission source address, a destination address, a mail size, a transmission time, and the like as a transmission / reception history of the electronic mail in the electronic mail system in which the mail server 4 is installed.

  As shown in FIG. 24, the information providing system 5 uses an account name, an IP address of an access source, an access date and time, and a type (post) on a file system server (not shown) of the Web system where the information providing system 5 is installed. (Browsing), access destination URL, transfer byte count, and the like. Note that in a Web system that does not require authentication, account name information may not be held.

  Hereinafter, the history storage system 6 and the information sharing effect evaluation system 7 will be described in detail.

(History storage system)
5, the history storage system 6 includes a control unit 6a, a history DB 64, and a conversion policy DB 65. The control unit 6a includes a call history collection unit 61, a communication history collection unit 62, and a viewing post. A history collecting unit 63 is included. In addition, although each function of the control part 6a which concerns on this invention is demonstrated, it should be noted that it is not intended to exclude other functions provided in the history storage system 6. The history storage system 6 can be configured as a computer, and stores a program describing processing contents for realizing each function of the control unit 6a in a storage unit (not shown) of the computer. This can be realized by reading and executing this program by a central processing unit (CPU).

  As shown in FIG. 6, the call history collection unit 61 periodically collects history data from the private branch exchange system 3 (step S11), and for each of the collected history data, history data of a specific organization (for example, in-house). (Step S12), if it is history data of a specific organization (for example, in-house), history data items (calling / departure number, call start time, call time (call end time−start time)) ( In other words, the items in the history data to be shared effect measurement are extracted (step S13), and the call time is converted into the number of bytes according to the rules registered in advance in the conversion policy DB 65 (step S14). The information converted into a number is added to the history data of the specific organization (for example, in-house) and output to the history DB 64 (step S15). Note that it is determined whether or not all collected history data is history data of a specific organization (for example, in-house) (step S16). Further, it can be determined from the history data in the private branch exchange system 3 whether or not it is history data of a specific organization (for example, in-house) by examining the number of digits and the station number.

  As shown in FIGS. 7A and 7B, the conversion policy DB 65 has a pre-registered rule (for example, the conversion from the call time to the number of bytes is 400 for one minute when text is read out in Japanese. Therefore, the call history collection unit 61 sets the call time in accordance with this conversion policy as follows: call 1 minute = 400 characters × 2 bytes, call 1 minute = 800 bytes. Converted into the number of bytes, adds the information to the history, and outputs it to the history DB 64.

  As shown in FIG. 8, the communication history collection unit 62 periodically collects history data from the mail server 4 (step S21), and for each of the collected history data, the history data of a specific organization (for example, in-house) is used. Whether or not there is history data (step S22), if it is history data of a specific organization (for example, in-house), send / receive email addresses, transmission time and email size are extracted (step S23) and output to the history DB 64 (step S23). Step S24). Note that it is determined whether or not all collected history data is history data of a specific organization (for example, in-house) (step S25). Further, it can be determined from the history data in the mail server 4 whether or not it is history data of a specific organization (for example, in-house) by examining the mail domain name.

  As shown in FIG. 9, the browsing / posting history collection unit 63 periodically collects browsing / posting history data from the information providing system 5 such as a file server of the Web system (step S31), and for each collected history data It is determined whether or not it is history data of a specific organization (for example, in-house) (step S32). If it is history data of a specific organization (for example, in-house), the account name, IP address of access source, access date and time (Browsing date and time), type (posting / browsing), access destination (access destination URL, etc.), transfer byte count are extracted (step S33), and output to the history DB 64 (step S34). Note that it is determined whether or not all collected history data is history data of a specific organization (for example, in-house) (step S35). Also, whether or not the history data of a specific organization (for example, in-house) from the history data in the information providing system 5 such as a file server of the Web system is determined by examining the mail / domain name. be able to.

(Information sharing effect evaluation system)
As shown in FIG. 10, the information sharing effect evaluation system 7 includes a control unit 7a, an employee DB 77, an evaluation policy unit 78, an evaluation data DB 79, and an evaluation result DB 70. The control unit 7a includes a history collection unit. 71, a call history editing unit 72, a communication history editing unit 73, a browsing post history editing unit 74, an information sharing effect evaluation unit 75, and an evaluation result display unit 76. In addition, although each function of the control part 7a which concerns on this invention is demonstrated, it should be noted that it is not intended to exclude other functions provided in the information sharing effect evaluation system 7. The information sharing effect evaluation system 7 can be configured as a computer, and stores a program describing processing contents for realizing each function of the control unit 7a in a storage unit (not shown) of the computer. This can be realized by reading and executing this program by a central processing unit (CPU) of the computer.

  The employee DB 77 confirms that a specific individual relating to the affiliation code table (see FIG. 25), name code table (see FIG. 26), server owner code table (see FIG. 27), and history data belongs to a specific organization. An employee / resource allocation table (see FIG. 28) as an allocation table is stored in advance.

  The history collection unit 71 collects history (call history) data from the history DB 64 of the history storage system 6 in response to an instruction from the call history editing unit 72, the communication history editing unit 73, or the browsing posting history browsing unit 74. The collected call history data is converted into a common format by the call history editing unit 72, the communication history editing unit 73, or the browsing posting history browsing unit 74 and stored in the evaluation data DB 79.

  As shown in FIG. 12, the call history editing unit 72 reads an employee / resource allocation table (FIG. 28) showing a correspondence table of telephone numbers / employees / affiliations from the employee DB 77 (step S41). History data is collected from the history DB 64 (step S42), and for the history (call history) data collected from the history DB 64, using this employee / resource allocation table, the call start date and time in the call history data is set to “date and time”. The type of communication means in the call history data is added as “call or telephone” (step S43), and each of the outgoing phone number and the incoming phone number in the call history data is converted into an affiliation code and a name code (step S44, S45), and stored in the evaluation data DB 79 (step S46). All the collected call history data is converted into a common format and stored in the evaluation data DB 79 (step S47).

  For example, as shown in FIGS. 11A, 11B, and 11C, the call history editing unit 72 performs call history data collected from the history DB 64 by the history collection unit 71 (FIG. 11A). Then, using the employee / resource allocation table (FIG. 28, FIG. 11B), the outgoing telephone number and the incoming telephone number of the call history are converted into an affiliation code and a name code (FIG. 11C).

  As shown in FIG. 14, the communication history editing unit 73 reads an employee / resource allocation table (FIG. 28) showing a correspondence table of email addresses / employees / affiliations from the employee DB 77 (step S51). History (mail history) data is collected from the history DB 64 (step S52), and the history (mail history) data collected from the history DB 64 is used to set the transmission date and time in the mail history data using this employee / resource allocation table. As the “date and time”, the type of communication means in the mail history data is added as “mail” (step S53), and each of the transmission source address and the destination address in the mail history data is converted into an arrival / departure belonging code and employee code. (Steps S54 and S55) and stored in the evaluation data DB 79 (Step S56) . All the collected mail history data is converted into a common format and stored in the evaluation data DB 79 (step S57).

  For example, as shown in FIGS. 13A, 13 </ b> B, and 13 </ b> C, the communication history editing unit 73 operates on the history (mail history) data collected from the history DB 64 by the history collection unit 71 (FIG. 13). (A)) Using the employee / resource allocation table (FIG. 28, FIG. 13 (b)), each of the transmission source address and the destination address in the mail history data is assigned to the affiliation code and employee code (FIG. 13 (c) )).

  As shown in FIG. 17, the browsing / posting history editing unit 74 reads an employee / resource allocation table (FIG. 28) indicating a correspondence table of email addresses (account names) / employees / affiliations from the employee DB 77 (step S61). History data is collected from the history DB 64 by the history collection unit 71 (post posting / viewing posting to the Web system when the account name is recorded) (step S62), and the history collected from the history DB 64 (posted by the Web system)・ Browsing Posts) Using this employee / resource allocation table, the browsing date in the history data of posting / viewing postings in the Web system is set to “date / time”, and in the history data of posting / viewing postings in the Web system The type of communication means is added as “file system file server extension (URL, etc.)” S63), each of the transmission address (IP address access source) and the reception address (access destination such as URL or File) in the history data of the posting / viewing posting of the Web system is converted into the belonging code and employee code according to arrival and departure. At the same time (steps S64 and S65), the arrival / departure information is associated as an “intermediate data table” and stored in the evaluation data DB 79 (step S66). All the collected history data of posting / viewing postings of the Web system is converted into an “intermediate data table” as a common format and stored in the evaluation data DB 79 (step S67). This intermediate data table is retained only during processing, and is deleted after the processing is completed.

  Subsequently, the browsing / posting history editing unit 74 reads the “intermediate data table” from the evaluation data DB 79 (step S71), sorts the history data of the intermediate data by date and time for each access destination (step S72), and submits the posting originating employee code. And NULL is set in the intermediate data table for the posting affiliation code, and NULL is set in the intermediate data table for the posting access destination and stored in the evaluation data DB 79 (step S73).

  Subsequently, the browsing / posting history editing unit 74 reads the “intermediate data table” from the evaluation data DB 79 and reads the history data from the history DB 64 (step S74), and determines whether or not the type in the history data is “post”. If it is determined (step S75) and the type is “posting”, the corresponding values for the posting originating employee code / posting affiliation code / posting access destination are set in the intermediate data table (step S81), and the type is “posting”. If not, it is determined whether or not the posting originating employee code / posting affiliation code in the history data is NULL (step S76). If the posting originating employee code / posting affiliation code in the history data is NULL, intermediate data is determined. Although NULL is set in the corresponding part of the table, the posting origination employee code / posting affiliation code in the history data is NULL. If the posting access destination and the history access destination have the same value (step S77), the posting originating employee code and the posting affiliation code in the “posting” data extracted from the history DB 64 are stored in the history data of the intermediate data table. The employee code and origination code are entered (step S78), converted as final common format history data, and stored in the evaluation data DB 79 (step S79). In this way, all the collected mail history data is converted into a common format and stored in the evaluation data DB 79. After the processing is completed, the intermediate data table is deleted from the evaluation data DB 79 (step S80).

  For example, as shown in FIGS. 15 (a), 15 (b), and 15 (c) and FIGS. 16 (a), (b), and (c), the browsing posting history editing unit 74 is stored in the history DB 64 by the history collecting unit 71. Employee / resource allocation table (FIG. 28, FIG. 15 (b) or FIG. 15) for the collected history data (Web system posting / viewing history) (FIG. 15 (a) or FIG. 16 (a)). 16 (b)), each of the transmission source address and the destination address in the mail history data is converted into a belonging code and employee code (FIG. 15 (c) or FIG. 16 (c)).

  As a common format for the history data of posting / viewing postings in the Web system when “no authentication” as shown in FIGS. 18A, 18B, and 18C, that is, the account name is not recorded. Conversion to “intermediate data table” or “intermediate data table” as a common format for post / browsing post history data in the file server system as shown in FIGS. 19 (a), 19 (b), and 19 (c) In the same way as the processing procedure shown in FIG. 17 described above, the IP address access source data or the like is used instead of the account name to convert the data into the “intermediate data table” as a common format. Stored.

  Finally, the history data in the common format shown in FIG. 29 is accumulated in the evaluation data DB 79.

  The evaluation policy DB 78 holds in advance a communication means / media conversion table (FIG. 30), a media / extension correspondence table (FIG. 31), a media weight evaluation table (FIG. 32), and an information amount evaluation table (FIG. 33). .

  Next, the information sharing effect evaluation unit 75 will be described. The evaluation policy DB 78 uses communication means (telephone, mail, Web, etc.) used for information sharing and media (speech, text, etc.) used for information sharing as a communication means / media conversion table (FIG. 30). Holds correspondences and judgment conditions. As the correspondence when an extension (URL or the like) is used as a determination condition, an extension correspondence table (FIG. 31) is used. In other words, in the communication means / media conversion table (FIG. 30), employees share information through various media, but the effect of information sharing varies from media to media. Used to convert. Further, a media weight evaluation table (FIG. 32) registered in advance is used as a parameter for determining the weight according to the media. In FIG. 32, as an example, a method of pricing with a log scale (common logarithm) as a weight is used. Furthermore, it is considered that the effect of one-time information sharing using the same medium, for example, the information sharing in one call, is not proportional to the amount of information (call time). In other words, the effect is diminished by a long phone call. In order to express this effect, a pre-registered information amount evaluation table (FIG. 33) in which the information amount corresponding to the media type is weighted is used. In FIG. 33, as an example, a method of pricing on a log scale (natural logarithm) is used.

  Using these, the information sharing effect evaluation unit 75 calculates an information sharing effect value by the algorithm of FIG.

  Referring to FIG. 20, the information sharing effect evaluation unit 75 reads the communication means / media conversion table (FIG. 30) from the evaluation policy DB 78 (step S91), and reads the media weight evaluation table (FIG. 32) from the evaluation policy DB 78. (Step S92), the information amount evaluation table (FIG. 33) is read from the evaluation policy DB 78 (Step S93). Next, the information sharing effect matrix A (sharing effect value representing the flow of information from employee i to employee j based on the employee code), B (affiliation i to belonging j based on the belonging code) in the preset format of FIG. (Share effect value representing the flow of information) is initialized (each element is set to 0 as an initial value) (step S94).

  Next, the information sharing effect evaluation unit 75 reads each history data collected and converted into the common format from the evaluation data DB 79 (step S95), and based on the communication means / media conversion table (FIG. 30), The media type is determined from the type / extension of the communication means in the read history data (step S96), and the media weight (Wk) is determined from the determined media type using the media weight evaluation table (FIG. 32) (step S96). S97) Using the information amount evaluation table (FIG. 33), the converted information amount (Bk) is calculated by applying the information amount weight corresponding to the determined media type to the number of bytes in the read history data (step S98). ), The shared effect value (Xk) is calculated by multiplying the calculated conversion information amount (Bk) by the media weight (Wk) (step S99).

  Next, for the information sharing effect matrices A and B in the format shown in FIG. 21, the sharing effect on the read history data is set as an evaluation value (information sharing effect matrix Aij) indicating the sharing effect from employee i to employee j. An operation for adding the value (Xk) is performed on all the history data collected in the evaluation data DB 79 (steps S100 and S102), and an evaluation value (information sharing effect matrix Bij) representing the sharing effect from affiliation i to affiliation j ) Is added to all the history data collected in the evaluation data DB 79 (step S101, S102). Thereby, the information sharing effect matrices Aij and Bij for all employees and affiliations can be aggregated and stored in the evaluation result DB 70.

  In addition, the information sharing effect evaluation unit 75 calculates and summarizes the sharing effect value for each affiliation code and each employee code for all the history data converted into the common format and collects the information sharing effect matrix Aij, After constructing Bij, the matrix is diagonalized, a norm value is calculated, this norm value is determined as a shared effect value in the organization, and stored in the evaluation result DB 70 together with the information sharing effect matrices Aij and Bij (step S103). ).

  In addition, the information sharing effect evaluation unit 75 reads the history data in the common format from the evaluation data DB 79, and divides it from the contents of the “date and time” of the history by month, day of the week, day, and time zone, The information sharing effect matrix Aij, Bij can be constructed by dividing the information content of the “communication means” for each communication means, and the respective shared effect values can be calculated for each time period or each communication means.

The evaluation result display unit 76 has a function of reading the evaluation result from the evaluation result DB 70 and displaying it on the screen of a display device (not shown).

  When each of the history storage system 6 and the information sharing effect evaluation system 7 according to the present invention is configured by a computer, a program describing the processing contents for realizing each function is stored in an internal or external storage unit of the computer. It can be realized by reading and executing this program by the central processing unit (CPU) of the computer. In addition, such a program can be distributed by selling, transferring, or lending a portable recording medium such as a DVD or a CD-ROM, and such a program is stored in a storage unit of a server on a network, for example. And the program can be distributed by transferring the program from the server to another computer via the network. In addition, a computer that executes such a program can temporarily store, for example, a program recorded on a portable recording medium or a program transferred from a server in its own storage unit. As another embodiment of the program, the computer may directly read the program from a portable recording medium and execute processing according to the program, and each time the program is transferred from the server to the computer. In addition, the processing according to the received program may be executed sequentially. Therefore, the present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the spirit of the present invention.

  According to the present invention, it is possible to quantitatively measure the information sharing effect from the automatically accumulated employee usage history. Furthermore, in addition to the conventional method based on time measurement, the information sharing effect is added. It is possible to quantitatively evaluate the efficiency, and by analyzing the information sharing effect value in time series (daily etc.), the total amount of information sharing effect in the company before and after the introduction of various new information sharing systems Since the change and the change of the information sharing effect for each communication means can be grasped quantitatively, it is useful for any application requiring analysis or evaluation in information sharing and knowledge sharing.

DESCRIPTION OF SYMBOLS 1 Voice terminal 2 Information terminal 3 Private branch exchange system 4 Mail server 5 Information provision system 6 History storage system 7 Information sharing effect evaluation system 8 Communication network 61 Call history collection part 62 Communication history collection part 63 Browsing contribution history collection part 64 History DB
65 Conversion policy DB
70 Evaluation result DB
71 History Collection Unit 72 Call History Editing Unit 73 Communication History Editing Unit 74 Browsing Post History Editing Unit 75 Information Sharing Effect Evaluation Unit 76 Evaluation Result Display Unit 77 Employee DB
78 Evaluation Policy DB
79 Evaluation Data DB
81 Telephone (extension) network 82 IP network

Claims (7)

Accumulating information communicated by a plurality of types of communication means in a predetermined premises, extracting information on a specific organization in the premises, converting the history data into a common format for the plurality of types of communication means, An information sharing effect measurement system for calculating an information sharing effect value of a specific organization,
The information communicated by the plurality of types of communication means is periodically collected as history data, history data of a predetermined organization is selected from the collected history data, and history data items specific to the communication are selected from the selected history data. History storage means for extracting and storing history data obtained by converting into converted data according to a predetermined conversion policy in the history DB;
History collecting means for collecting the converted history data from the history DB;
Based on a predetermined allocation table indicating that a specific individual related to the collected history data after conversion belongs to a specific affiliation, the collected history data after conversion is common to the plurality of types of communication means. A history editing means that converts the history data into a format and stores it in the evaluation data DB;
The history data converted into the common format is read from the evaluation data DB, and a predetermined information weight corresponding to the media type determined for each communication means is applied to the number of bytes in the read history data. The conversion information amount (Bk) is calculated, and the shared conversion value (Xk) is calculated by multiplying the calculated conversion information amount (Bk) by the media weight (Wk). An information sharing effect that uses the information sharing effect matrix (Aij, Bij) defined as a flow to aggregate the shared effect values for each individual (i) and each affiliation (j) in the organization and store them in the evaluation result DB An evaluation means ,
The information sharing effect evaluation means calculates and aggregates the sharing effect value for each individual and affiliation in the organization for all history data converted and collected in the common format, and the information sharing effect matrix (Aij) , Bij), and means for diagonalizing the information sharing effect matrix (Aij, Bij) to calculate a norm value and determining the value as a sharing effect value in the specific organization. Effect measurement system. 2. The information sharing effect measurement system according to claim 1 , wherein the information sharing effect evaluation unit includes a unit that calculates the sharing effect value for each period or each communication unit. The history data periodically collected by the history storage means is information collected from the private branch exchange system, and the data unique to the communication is composed of data of calling / arriving number, call start time and call time. The information sharing effect measuring system according to claim 1 or 2 . The history data periodically collected by the history storage means is information collected from a mail server, and the data unique to the communication is composed of data of transmission / reception mail addresses, transmission time and mail size, The information sharing effect measurement system according to any one of claims 1 to 3 . The history data periodically collected by the history storage means is information collected from a Web system or a file server system, and data unique to the communication includes an account name, an IP address of an access source, access / viewing date and time, The information sharing effect measuring system according to any one of claims 1 to 4 , comprising data of a posting / browsing type, an access destination, and a transfer byte count. Accumulating information communicated by a plurality of types of communication means in a predetermined premises, extracting information on a specific organization in the premises, converting the history data into a common format for the plurality of types of communication means, An information sharing effect measurement method in an information sharing effect measurement system for calculating an information sharing effect value of a specific organization, the information sharing effect measurement system comprising a history storage unit, a history collection unit, a history editing unit, an information And a shared effect evaluation means,
The history storage means periodically collects information communicated by the plurality of types of communication means as history data, selects history data of a predetermined organization from the collected history data, and transmits the selected history data to the communication. Extracting history data items unique to each other and holding history data obtained by converting into conversion data according to a predetermined conversion policy in the history DB;
Collecting the converted history data from the history DB by the history collection means;
Based on a predetermined assignment table indicating that a specific individual related to the collected history data after conversion belongs to a specific affiliation by the history editing means, the collected history data after conversion is classified into the plurality of types. Converting the history data into a common format for the communication means and storing it in the evaluation data DB;
The history information that has been converted into the common format is read from the evaluation data DB by the information sharing effect evaluation unit, and a predetermined information amount weight corresponding to the media type determined for each communication unit is set to the read history. The conversion information amount (Bk) is calculated by applying it to the number of bytes in the data, and the shared effect value (Xk) is calculated by multiplying the calculated conversion information amount (Bk) by the media weight (Wk). Using the information sharing effect matrix (Aij, Bij) defined as the information flow between individuals and affiliations, the sharing effect values are aggregated and evaluated for each individual (i) and affiliation (j) in the organization. Storing in the result DB;
The information sharing effect evaluation means calculates and summarizes the sharing effect value for each individual and affiliation in the organization for all the history data converted into the common format and collected, and the information sharing effect matrix (Aij) , Bij), and after calculating the norm value by diagonalizing the information sharing effect matrix (Aij, Bij), determining the shared effect value in the specific organization;
An information sharing effect measuring method comprising: Information on a specific organization in the premises is extracted from history data in which information communicated by a plurality of types of communication means in a predetermined premises is stored, and is converted into history data in a common format for the plurality of types of communication means. In a computer configured as an information sharing effect evaluation system that converts and calculates the information sharing effect value of the specific organization,
Information communicated by the plurality of types of communication means is periodically collected as history data, history data of a predetermined organization is selected from the collected history data, and history data specific to the communication is selected from the selected history data. History data extracted and converted into conversion data according to a predetermined conversion policy is held in the history DB,
Collecting the converted history data from the history DB;
Based on a predetermined allocation table indicating that a specific individual related to the collected history data after conversion belongs to a specific affiliation, the collected history data after conversion is common to the plurality of types of communication means. Converting into historical data in a format and storing it in the evaluation data DB;
The history data converted into the common format is read from the evaluation data DB, and a predetermined information weight corresponding to the media type determined for each communication means is applied to the number of bytes in the read history data. The conversion information amount (Bk) is calculated, and the shared conversion value (Xk) is calculated by multiplying the calculated conversion information amount (Bk) by the media weight (Wk). Using the information sharing effect matrix (Aij, Bij) defined as a flow, totaling the shared effect values for each individual (i) and each affiliation (j) in the organization, and storing them in the evaluation result DB;
After all the history data converted and collected into the common format is calculated and aggregated for each individual and affiliation in the organization, and the information sharing effect matrix (Aij, Bij) is constructed, Diagonalizing the information sharing effect matrix (Aij, Bij) to calculate a norm value and determining as a sharing effect value in the specific organization;
A program for running.

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