CN111784199B - System, method and storage medium for service and information technology mutual evolution - Google Patents
System, method and storage medium for service and information technology mutual evolution Download PDFInfo
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Abstract
The invention provides a system, a method and a storage medium for service and information technology mutual evolution, wherein the system mainly comprises five modules: the system comprises a personnel agent structure module, an environment module, a personnel agent attribute module, a behavior interaction module and an organization performance module, wherein each model can dynamically analyze the influence of internal and external dynamic changes on the organization and the reaction of the organization to the changes, and explains the effect of mutual evolution of business and information technology from the matching perspective. By analyzing the influence of different interactive behaviors and the execution degree of the interactive behaviors on the organization performance, the organization can be guided to execute the mutual evolution strategy, and the mutual evolution of the service and the information technology can be better managed and realized.
Description
Technical Field
The invention belongs to the technical field of service and information technology matching, and particularly relates to a system, a method and a storage medium for service and information technology mutual evolution.
Background
The problem of matching between Business and information technology (Business and IT alignment) has been of increasing interest to organizational decision makers since the eighties and ninety years of the last century. The matching of the business and the information technology mainly refers to the continuous cooperative optimization relationship between the business target or the process and the information technology. The conceptual system of Order-based matching research, based on which business and information technology matching is consistent with causal logic and exhibits a high degree of balance and stability, has been widely and intensively studied over the past thirty years or more. However, in recent years, with drastic changes in market environments, subversive innovations in information technology, and types of relationships in which external and internal forms of an organization are diverse, the complexity of the organization is getting higher and higher, and matching studies based on emerging complexity (Emergent complexity) are gradually being focused on by researchers. Unlike the prior condition of the traditional matching problem, the matching research concept system based on emerging complexity focuses on the uncertainty and nonlinearity in the matching process and emphasizes the emerging performance and self-organization of the organization. Researchers tend to use the theory of reciprocal evolution (coevolutional theory) to explain the matching problem of emerging complexity, which is believed to be a combination of reasonable control of the organization from top to bottom with adaptation from bottom to top. That is, the organization can coordinate the business and the information technology through continuous adaptation and learning without being limited to the matching task of the established plan, thereby achieving the purpose of mutual evolution. In the last decade, matching research based on mutual evolution is valued by more and more researchers, and is considered as an effective means for optimizing business and information technology resources, maximizing information technology investment and improving organization performance advantages.
Currently, matching research based on mutual evolution stays at a theoretical exploration and improvement stage, and due to the complexity of mutual evolution of services and information technologies, the current research is difficult to effectively realize and control the mutual evolution of an organization service domain and an information technology domain, and an organization decision maker still rarely knows the specific behaviors of an individual executor in the process of matching services and information technologies, so that the matching research of services and information technologies is often questioned in the aspects of guiding practice, improving organization performance and the like.
The construction of the business and information technology mutual evolution model can be used for verifying the accuracy of theoretical research, and can also be used for exploring a business and information technology mutual evolution path so as to provide guidance for the realization and management of organization matching. The ABM (agent-Based modeling) is a modeling method for predicting or reproducing an overall complex phenomenon by simulating the behaviors of agents and the interactive process between the agents, wherein each agent continuously configures own behavior rules according to the change of an external environment, and then the effect of integrally adapting to the external environment is achieved by simulating the random and nonlinear behaviors of a plurality of body agents. Thus, the ABM approach can effectively capture the emerging complexity in the matching problem. However, an effective agent-based service and information technology evolution method is currently lacking.
Disclosure of Invention
In view of this, the present invention provides a system, a method and a storage medium for service and information technology mutual evolution, so as to solve the problem that the prior art lacks a method and a system for service and information technology mutual evolution based on proxy.
A system for service and information technology evolution from each other, comprising:
a personnel agent structure module used for determining the superior-inferior relation and the grouping relation of personnel in the organization containing the service domain and the information technology domain, the intra-group relation and the inter-group relation of each group of the organization, and forming an organization structure chart based on personnel agents by taking the personnel as agents and according to each determined relation,
the environment module is used for generating dynamic changes of internal requirements and external requirements of the organization, wherein the dynamic changes act on different groups or different upper and lower levels in the personnel agent structure module so that the personnel agent structure module changes the matching situation of a business domain group and an information technology domain group according to the dynamic changes to form the requirement of mutual evolution of business and information technology, the environment module analyzes that the change with a collaborative relationship in the dynamic changes brings fewer knowledge points to the personnel agent structure module relative to the knowledge points brought to the personnel agent structure module by the change with a conflict relationship in the dynamic changes so as to determine an attribute set of the personnel agent according to the analyzed structure, and the knowledge points directly or indirectly act on the personnel agents in each layer in the personnel agent structure module;
a personnel agent attribute module for determining attribute sets of agents of business personnel and agents of information technical personnel according to the dynamic changes generated by the environment module and the relationship between the dynamic changes so as to formally describe matching scenarios between business domains and the information technical domains,
a behavior interaction module for determining the interaction behavior between the human agents according to the human agent structure module and analyzing the influence of the interaction behavior on the attributes of the human agents to determine the mutual evolution process between the business domain and the information technology domain according to the analysis result,
and the organization performance module is used for determining the matching degree of the attributes between the personnel agents of the information technical personnel in the personnel agent domain of the service personnel according to the attribute set of the personnel agents and analyzing the performance of the organization so as to dynamically adjust the interactive behavior of the behavior interaction module.
Preferably, the human agent structure module includes:
a leader layer as the top layer of the staff agent structure module, wherein the leader layer is a decision-making staff comprising a business executive officer and an information executive officer, the leader layer is used for absorbing the dynamic change and analyzing the matching situation of the business domain and the information technology domain according to the dynamic change so as to issue a task comprising a decision-making command according to the analysis result,
a service and information technology manager layer as an intermediate layer of the personnel agent structure module, which mainly comprises main responsible personnel of the service domain and the information technology domain, the service and information technology manager layer is used for analyzing tasks issued by the leader layer, reporting or issuing the dynamically changed information, the service and information technology manager layer is divided into different groups according to the different tasks,
and the service and information technology execution layer is used as the lowest layer of the personnel agent structure module, mainly comprises main executives of the service domain and the information technology domain, is used for managing service activities and technical components, and is divided into a plurality of different groups according to the grouping of the service and information technology manager layer and the difference of the tasks.
The human agent attribute module expresses the understanding degree of the set of knowledge points brought by the dynamic change generated by the environment module through the attribute set of the human agent, the understanding degree is expressed by adopting a numeric string of 0 or 1, when the corresponding position of the attribute set of the human agent is 1, the human agent already grasps a certain knowledge point in the set of knowledge points, when the corresponding position of the attribute set of the human agent is 0, the human agent does not grasp the certain knowledge point, and all the human agents are expressed in the human agent attribute module to form a numeric string by 0 and 1.
The behaviors in the behavior interaction module comprise:
a mutual communication behavior defined as a behavior of exchanging knowledge between the human agents through a communication method, wherein when a human agent executes the mutual communication behavior, if the knowledge of the human agent is transmitted or received, a transformation occurs between 0 and 1 indicating an attribute of the human agent, the behavior interaction module analyzes a possibility of mutual communication between the human agents in the same group in the human agent structure module, a possibility of mutual communication between the human agents in different groups, and a possibility of mutual communication between the human agents in different domains, and analyzes an influence of the mutual communication behavior on organizational performance by adjusting the possibility, and it is considered that the mutual communication behavior has occurred and the human agents who successfully exchange knowledge are more likely to occur;
the knowledge sharing behavior is defined as a behavior that the personnel agents acquire knowledge through a database extraction or communication mode, the behavior through the database extraction means that the personnel agents acquire knowledge related to the dynamic change of the environment module from the storage and the update of the database, when the personnel agents perform the knowledge sharing, a certain attribute of the personnel agents is changed from 0 to 1 so as to represent that the personnel agents in different groups and different levels of the personnel agent structure module have the same knowledge acquisition capability through the database, and the influence of the knowledge sharing behavior on the organizational performance is analyzed by adjusting the capability, and the communication mode means a mutual communication behavior of the personnel agents aiming at sharing the knowledge;
knowledge perception behavior, the knowledge perception behavior is defined as behavior that the human agent perceives knowledge brought by dynamic change generated by the environment module in advance through external information, if the human agent does not experience the mutual communication behavior or the knowledge sharing behavior, future change can be perceived according to the external information in advance, when the human agent conducts the knowledge perception behavior, a certain attribute of the human agent is changed from 0 to 1, the abilities of perception knowledge of human agents in different fields and different levels of the human agent structure module are different, and the behavior interaction module analyzes the influence of the knowledge perception behavior on the organization performance by adjusting the abilities,
an information reporting behavior means that a lower-layer personnel agent reports information about the dynamic change generated by the environment module to an upper-layer personnel agent, the lower-layer personnel agent can report a plurality of knowledge points at one time, when the personnel agent carries out the information reporting behavior, the corresponding position of the attribute set of the upper-layer personnel agent is changed from 0 to 1,
the command issuing behavior refers to that the upper layer personnel agent issues information related to dynamic change generated by the environment module to the lower layer personnel agent, the upper layer personnel agent can issue a plurality of knowledge points at one time, and when the personnel agent performs the command issuing behavior, the corresponding position of the attribute set of the lower layer personnel agent is changed from 0 to 1; in order to avoid inertia factors of lower-layer personnel agents in the command issuing process, the command issuing behavior is considered to be repeatedly carried out for multiple times.
Preferably, the propagation of the knowledge set in the human agent attribute module is realized through the continuous execution of a plurality of the behaviors, so that the human agent structure module absorbs the dynamically changing information generated by the environment module.
Preferably, the performance organizing module calculates the performance index of the performance organizing module through the continuous execution of the behavior interaction module, and adjusts the execution degree of the behavior according to the calculation result, so as to realize the mutual evolution between the internal business domain of the organization and the information technology domain.
Preferably, the performance indicators of the organization performance module include:
a business and information technology matching degree used for representing the difference of the business domain and the information technology domain of the organization in the understanding degree of the dynamic change generated by the environment module, the difference of the understanding degree is represented by the difference degree of the attribute set of all the personnel agents of the business domain and the attribute set of all the personnel agents of the information technology domain, the difference degree of the understanding degree influences the performance advantage of the organization,
agility defined as the overall effect of said dynamic changes produced by said context module on an organization, said overall effect being represented as the ratio of the effect of said dynamic changes on the performance of said organization to the extent to which said business domain matches said information technology, whereby said dynamic changes may increase or decrease the performance of said organization within a predetermined time period based on said overall effect to counteract or amplify the effect of the extent to which said business domain matches said information technology domain;
and the consumption cost is defined as the sum of the costs generated by all the human agents of the human agent structure module in the process of executing the interactive action of the action interactive module.
A method for service and information technology evolution, comprising:
dividing an organization into a service domain group corresponding to service personnel and an information technology domain group corresponding to information technology personnel, determining the superior-inferior relation and the grouping relation of the personnel in the organization, respectively appointing a personnel management service component and a technology component, taking the personnel as an agent, establishing an organization structure chart based on the personnel agent according to the superior-inferior relation and the grouping relation of the personnel in the organization, the intra-group and inter-group relations of each group of the organization,
determining the influence of the dynamic change on different groups and different levels of personnel agents according to the cooperation and conflict relationship between a plurality of changes of the dynamic change of the internal demand and the external demand of the organization to form the mismatch situation of the business and the information technology,
determining the influence of the interaction behavior between the human agents on the attribute and behavior of the human agents according to the superior-subordinate relationship and the grouped relationship between the human agents,
and analyzing the performance of the organization from the matching angle between the business domain and the information technology domain, and adjusting the behavior interaction behavior between the personnel agents according to the analysis result.
A storage medium, which is a readable storage medium of a computer, and a computer program stored on the readable storage medium is executed by a processor to implement the method for service and information technology mutual evolution described above.
The invention has the beneficial effects that: the system, the method and the storage medium for service and information technology mutual evolution provided by the invention can dynamically analyze the influence of internal and external dynamic changes on the organization and the reaction of the organization to the changes, and explain the effect of service and information technology mutual evolution from the matching perspective. By analyzing the influence of different interactive behaviors and the execution degree of the interactive behaviors on the organization performance, the organization can be guided to execute the mutual evolution strategy, and the mutual evolution of the service and the information technology can be better managed and realized. In addition, by constructing a mutual evolution system of the service and the information technology, a mutual evolution path of the service and the information technology can be simulated, so that not only is supplementary provided for theoretical research of matching of the service and the information technology, but also guidance is provided for matching management of the service and the information technology.
Drawings
Fig. 1 is a block diagram of a system architecture in which services and information technologies provided by the embodiment of the present invention evolve with each other;
fig. 2 is a diagram of a human agent structure module in which services and information technologies provided by the embodiment of the present invention evolve with each other;
fig. 3 is a schematic parameter configuration diagram of a service and information technology mutual evolution system provided in an embodiment of the present invention;
fig. 4 is an operation diagram of a service and information technology mutual evolution system provided in the embodiment of the present invention;
fig. 5 is a schematic diagram of analysis of organization performance of a system for mutual evolution of service and information technology provided by an embodiment of the present invention;
fig. 6 is a flow chart of a method for service and information technology evolution provided in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without any creative work, belong to the protection scope of the present invention. In addition, in the content of the embodiment, "8230", "mentioned" merely means that the technical belongings or features of the present invention are included.
Fig. 1 is a structural diagram of a system for providing a mutual evolution of business and information technologies according to the present invention, and the system mainly includes a human agent structure module, an environment module, a human agent attribute module, a behavior interaction module, and an organization performance module.
And the personnel agent structure module is used for determining the superior-subordinate relationship, the intra-group relationship and the inter-group relationship between the service domain and the personnel in the information technology domain in the organization, and forming an organization structure diagram according to the relationships, so that the information is conveniently transmitted and interacted.
As shown in fig. 2, it is a structural block diagram of the staff agent structure module, and the staff agent structure module includes a leader layer, a service and information technology manager layer, and a service and information technology execution layer. And the collar and sleeve layer is used as the uppermost layer of the structure module and mainly comprises decision-making personnel such as a business executive officer, an information executive officer and the like, and is used for absorbing internal and external changes, analyzing the matching situation of the business domain and the information technology domain, and issuing decision-making commands and other tasks to the lower layer. Business and information technology manager layer as the intermediate level of structure module, mainly includes the main responsible personnel of business domain and information technology domain, is used for going on the analysis of the decision task that the upper strata was assigned, report to the higher level or assign to the lower level the dynamic change information of environmental module, business and information technology manager in the layer the agent can be based on the task difference that the leader layer was assigned divide into different groups. The business and information technology execution layer is used as the bottommost layer of the structure module and mainly comprises main executors of a business domain and an information technology domain, business activity and technology management components, and the business and information technology execution layer is divided into a plurality of groups according to the grouping of a business and information technology manager layer and the tasks issued by the leader layer.
The right side of fig. 2 depicts an attribute panel of any of the human agents during the simulation process of the system, and the included attribute values may affect the interaction behavior of the human agents, and these attributes mainly include: an agent identifier and a group identifier for determining the specific location of the agent in the organization; the recognition set is represented as an array consisting of 0 and 1 and is used for determining the understanding degree of the human agent on all the changes; an exchange probability set, which includes a probability set of the mutual exchange between the human agent and all other human agents, and is expressed in the form of an array, where it is considered that the previous successful or failed mutual exchange behavior may affect the current mutual exchange probability, and is different from the mutual exchange probability in the initial case, for example, if the initial mutual exchange probability of the service manager layer and the information technology manager layer is 0.4, and assuming that a certain service manager agent has a mutual exchange behavior with a certain information technology manager agent once in the evolution process and has exchanged a knowledge point successfully or unsuccessfully, the current mutual exchange probability of the certain service manager agent and the certain information technology manager agent is (0.4 + 0.01) or (0.4-0.01); the knowledge sharing probability and the knowledge perception probability represent the current knowledge sharing probability and the current knowledge perception probability of a certain person agent, and similarly, the previous successful or failed knowledge sharing behavior or perception behavior is considered to influence the current knowledge sharing probability or knowledge perception probability (+/-0.1), which is different from the knowledge sharing probability or knowledge perception probability under the initial condition.
And the environment module is used for generating dynamic changes of the nonlinear and dynamic internal requirements and external requirements of the organization, acting on different fields or different levels of the personnel agent structure module, changing the matching situation of the service domain and the information technology domain and forming the requirement of the mutual evolution of the service and the information technology.
The environment module can generate nonlinear dynamic changes of the internal needs and the external needs of the organization, and enable the dynamic changes to act on the organization, and the environment module considers that the dynamic changes bring a plurality of knowledge points to the personnel agent structure module, wherein the changes with cooperative relations bring relatively fewer knowledge points, and the changes with conflicting relations bring relatively more knowledge points. The knowledge points directly or indirectly act on the personnel agents in different fields and different levels of the personnel agent structure module, and change the attribute set of the personnel agents. The environment module is used as the input of the whole model, and can change the attribute set of all the personnel agents in the initialization process or the mutual evolution process, and change the matching situation of the service domain and the information technology.
The environment module may generate nonlinear dynamic changes of the internal and external requirements of the organization, which is represented by inputting a knowledge set to the human agent structure module, for example, if each change is considered to bring 5 knowledge points, two changes with a cooperation relationship may be considered to bring (5 × 2-2) knowledge points, and two changes with a conflict relationship may bring (5 × 2+ 2) knowledge points; the changed set of knowledge will act on the corresponding location of the human agent structure module. For example, if a change is made to the business execution layer, it is considered that the attribute location of a certain business execution personnel agent with respect to the change is changed from [00000] to [11111].
And the personnel agent attribute module is used for determining attribute sets of the business personnel agent and the information technology personnel agent according to the dynamic change generated by the environment module and the relation between the changes, so that the matching situation of the business domain and the information technology domain is described in a formalized manner.
The human agent attribute module can be used for determining the change mode of the change generated by the environment module on the human agent attribute, the attribute set of the human agent is considered to be expressed as the understanding degree of the knowledge point set brought by the change generated by the environment module, and the corresponding position of the human agent attribute set is represented by a numeric string of 0 or 1. When the corresponding position of the human agent attribute set is 1, it indicates that the human agent already masters a certain knowledge point, when the corresponding position of the human agent attribute set is 0, it indicates that the human agent does not master a certain knowledge point, and all human agents can be expressed as digital character strings of 0 and 1 for understanding degree of all the dynamic changes, i.e. 1 indicates an agent person who masters a certain knowledge point, and 0 indicates a human agent who does not master a certain knowledge point, so we will use the character strings to indicate the knowledge difference degree between a business domain and an information technology domain.
The personnel agent attribute module is used for determining an attribute set of each personnel agent at each simulation moment, and firstly, the personnel agent attribute set can be initialized according to changes generated by the environment module, for example, the environment module can generate two changes, one of which acts on a business manager layer and the other of which acts on an information technology manager layer, and the two do not have a cooperation or conflict relationship, so that the attribute set of a certain business manager agent about the two changes can be considered as [1111100000], the attribute set of a certain information technology manager agent about the two changes is [0000011111], and the attribute set of the other personnel agent about the two changes is [0000000000]; then, analyzing the variation trend of the attribute set of the staff agent according to the continuous interaction behavior of the staff agent, for example, if the business manager agent and the information technology manager agent perform a mutual interaction behavior, the attribute set of the information technology manager agent may become [1000011111];
the behavior interaction module is used for determining interaction behaviors among the personnel agents based on the personnel agent structure module and analyzing the influence of the interaction behaviors on the attributes of the personnel agents so as to determine the process of mutual evolution of the service domain and the information technology domain. The behavior interaction module comprises a mutual communication behavior, a knowledge sharing behavior, a knowledge sensing behavior, an information reporting behavior and an instruction issuing behavior. Each behavior execution will affect the attribute set of one or more personnel agents with a certain probability, which is embodied as the conversion of 0 and 1 of the corresponding attribute position, for example, when a certain group of business executive personnel agents report a change occurring in the business executive layer to a certain business manager agent, the business manager agent will change the attribute position of the change from 0 to 1.
The mutual communication behavior refers to a behavior of exchanging knowledge between the personnel agents through a communication method, the mutual communication behavior is executed to send and receive the knowledge of the personnel agents with a certain probability, the mutual communication possibility between the personnel agents in the same group, the mutual communication possibility between the personnel agents in different groups and the mutual communication possibility between the personnel agents in different domains are different, the mutual communication behavior is easier to occur between the personnel agents which have mutually communicated and successfully exchange knowledge by adjusting the influence of the possibility size analysis on the mutual evolution path and the organizational performance, and the mutual communication behavior is an important individual behavior and is used for determining the influence of the change of the individual behavior on the overall performance.
The knowledge sharing behavior refers to a behavior that a human agent acquires knowledge through a database or a communication mode, the mode of passing through the database refers to that the human agent acquires related knowledge about the change of the environment module from the storage and the update of the database, and when the human agent has the knowledge sharing behavior, a certain attribute of the human agent is changed from 0 to 1. The personnel agents in different fields and different levels of the personnel agent structure model have different knowledge acquisition capabilities through the database, and the influence on the organization performance is analyzed by adjusting the capabilities. The mutual communication mode refers to the mutual communication behavior of the personnel agents aiming at sharing knowledge, the mutual communication behavior is consistent with the characteristics of the mutual communication behavior in the mutual communication behavior process, the knowledge is transmitted more possibly among the personnel agents who communicate with each other, the knowledge sharing behavior is also an important individual behavior, and the influence of the change of the individual behavior on the overall behavior can be analyzed.
The knowledge perception behavior refers to the behavior of the knowledge brought by the change generated by the environmental module which is perceived in advance by the personnel agent through the external information; the human agents can sense future changes in advance according to external information without mutual interaction behavior or knowledge sharing behavior, and when the human agents have knowledge sensing behavior, certain attribute of the human agents is changed from 0 to 1. The human agent structure model has different knowledge sensing abilities in different fields and different levels, and the influence on the organization performance is analyzed by adjusting the abilities; the knowledge-aware behavior is also an important individual behavior, and can be used for analyzing the influence of the change of the individual behavior on the overall performance.
And the information reporting behavior refers to a behavior that a lower-layer personnel agent reports the change generated by the environment module to an upper-layer personnel agent, the lower-layer personnel agent can report a plurality of knowledge points at one time, and when the personnel agent carries out the information reporting behavior, the corresponding position of the attribute set of the upper-layer personnel agent is changed from 0 to 1. The information reporting behavior is an overall behavior and is used for reflecting the influence of changes on the organization.
The action is assigned to the instruction, and the knowledge about the change that the environmental module produced is assigned to lower floor's personnel agent to upper floor's personnel agent that indicates, thinks that upper floor's personnel agent can once only assign a plurality of knowledge points, works as personnel agent goes on when the action is assigned to the instruction, lower floor's personnel agent attribute set corresponds the position and becomes 1 from 0. Considering inertia factors of lower-layer personnel agents in the instruction issuing process, and considering that the instruction issuing behavior can be repeatedly carried out for many times; the instruction issuing behavior is an overall behavior and is used for reflecting the influence of changes on the organization.
The behavior interaction module realizes the propagation of the knowledge set in the personnel agent attribute module by the continuous execution of the interaction behaviors so as to achieve the effect that the personnel agent structure module absorbs the internal and external nonlinear changes generated by the environment module,
and the organization performance module is used for determining the matching degree of the business and the information technology according to the attribute sets of the personnel agents of the business domain and the personnel agents of the information technology domain, analyzing the organization performance according to the matching degree, and dynamically adjusting the interaction behavior of the personnel agents and analyzing the influence on the mutual evolution path.
The organizational performance module calculates the performance index contained in the organizational performance module through the continuous execution of the interactive behavior, and adjusts the execution degree of the behavior according to the result to achieve the effect of mutual evolution of an internal organization business domain and an information technology domain, wherein the organizational performance index comprises:
the service/information technology matching degree is used for expressing the difference of the understanding degree of the internal and external nonlinear changes generated by the environment module by the service domain and the information technology domain of an organization, and the difference is embodied as the difference degree of all personnel agent attribute sets of the service domain and all personnel agent attribute sets of the information technology domain; it is believed that large differences may affect the performance of the tissue to some extent; the service/information technology matching degree is a measurement index of typical service/information technology matching.
Agility, which refers to the overall effect of internal and external nonlinear changes generated by the environment module on the organization, and the changes are considered to improve or reduce the performance of the organization in a certain period of time, so as to counteract or amplify the effect caused by service/information technology mismatching, wherein the effect is expressed as the ratio of the effect of the changes on the performance of the organization to the degree of matching of the service/information technology; the agility is a metric in a mutual evolution scene, which represents a non-linear relationship between service/information technology matching and organization performance, because organization performance is related to not only the service/information technology matching status, but also changes caused by the environment module, for example, the changes may significantly improve the organization performance, even though the service and the information technology are in a state of mismatching.
The consumption cost refers to the sum of the costs generated by all the human agents of the human agent structure module in the process of executing the interactive action of the action interactive module; the cost consumed by different interactive behaviors is different; the execution of the interaction behavior is constrained by the excessively high consumption cost, and the path of the mutual evolution of the service and the information technology is further influenced.
Specifically, the matching degree between the business and the information technology is understood as the difference between the attribute set of the business domain personnel agent and the attribute set of the information technology domain personnel agent, and can be expressed as the following formula:
m indicates the number of changes, n indicates the number of knowledge points brought by each change, p indicates the number of agents of service personnel, and q indicates the number of agents of information technical personnel.
The change can improve or reduce the performance of the organization in a short time, and offset or amplify the influence caused by the inconsistency of the business/information technology, and can be expressed as the following formula:
Agility＝f m (V)/e Misalignment
wherein m is the number of changes, f (V) is the reaction brought by the changes and is expressed as a growth curve or a descending curve, because Misalignment is possibly 0, an index can be used as a base, and the agility can be used for judging the overall influence of the changes on the tissues, not only the inconsistency in a short time.
The three performance indexes of the organization performance module analyze the receiving process of the organization on the internal and external changes and the influence of the interactive behavior on the mutual evolution path from the perspective of the mutual evolution of the service and the information technology; further, the relationship between the mutual evolution process and the organization performance can be further determined by adjusting the execution degree of the interaction behavior; meanwhile, the adaptation and response of organizations to changes can adversely affect the external environment, change the relationship among organizations and change the state of the market.
The execution and interaction of each of the modules in fig. 1 require determination of relevant parameters, as shown in fig. 3, each of the relevant parameters mainly includes: the parameters related to the environment module refer to the number of the dynamic changes generated by the environment module and acted on different levels of different fields, and the cooperative relationship and the conflict relationship among the changes so as to determine the initial attribute set of all the personnel agents; parameters related to the personnel agent structure module refer to the number of personnel agents contained in different layers of the personnel agent structure module and the number of groups, so that the structure and the interaction relation of the personnel agents are conveniently determined; parameters related to the behavior interaction module comprise knowledge sharing probability and knowledge perception probability of the personnel agents in different regions and different levels under the initial condition, and mutual communication probability among groups, groups and regions, so that the possibility of acquiring knowledge by the personnel agents is determined when behaviors are executed; the parameters related to the organization performance module mainly refer to the cost values of consumption of five interactive behaviors included in the execution of the organization performance module, wherein the cost values of consumption of the interactive behaviors among groups, in groups and regions are different.
The invention also provides a simulation method of the system, according to the descriptions of fig. 1, fig. 2, and fig. 3, it is assumed that all human agents are created at the time of starting simulation, the agent identification codes and group identification codes of the human agents are randomly assigned, and the initial attribute knowledge sets of the human agents are determined according to the input change number and the change relationship; then, a business and information technology evolution process may occupy several hundred simulation times until all changes are completely absorbed by the organization, so that each simulation time mainly includes four specific steps, which are as follows:
step1: and judging whether the environment module is newly changed or not, wherein the environment module is used for dynamically determining the attribute knowledge sets of all the personnel agents.
Step2: and the mutual communication action, the knowledge sharing action and the knowledge sensing action of the personnel agents are executed randomly, so that the dynamic interaction of a knowledge set is facilitated.
Step3: judging whether the personnel agent needs to execute the information reporting behavior and the instruction issuing behavior, and if the certain group completely absorbs a certain change, showing that the attributes of all members in the group about the corresponding positions of the change are all 1, the members of the group can execute the information reporting behavior and the instruction issuing behavior at the moment, transmitting a plurality of knowledge points about the change at one time, and executing the behavior for a plurality of times until all the knowledge points about the change are reported or issued.
Step4: and calculating the matching degree, agility and consumption cost index of the business/information technology included by the organization performance module.
According to the execution of the four steps, the path of the organization performance changing along with the simulation time can be obtained. The pseudo code for the simulation is as follows:
the pseudo code mainly explains the simulation process based on a business/information technology mutual evolution model. Because the real code needs to regard the personnel agent set, the change set, the knowledge point attribute set of the personnel agent and the mutual exchange probability set of the personnel agent as the dynamically changed array, and then analyze and process the array, the realization of the code is much more complicated than the code.
According to the input of the parameters of fig. 3 and the implementation of the codes, an operation diagram of a system in which the service and the information technology provided by the embodiment of the present invention evolve with each other is shown in fig. 4. The left side of fig. 4 shows the process of the business and information technology agent performing the interaction, where the white panels represent the range of activity of the different levels of the agent, the color differences of the agents represent different groups, and the colors connected between the white panels represent the reporting and issuing of different changes by the agents during the model simulation; black connecting lines among the personnel agents represent the mutual communication behaviors among the personnel agents in one field, and red connecting lines represent the mutual behaviors among the personnel agents in different fields; other conditions such as the change generated dynamically by the environment module, the knowledge sharing behavior and the knowledge sensing behavior of the personnel agents are directly reflected to the attribute set of the personnel agents and are not reflected on the operation interface;
the right side of fig. 5 calculates three performance index values according to each simulation time, and draws a change trend of the mutual performance of the service/information technology with time as a horizontal axis, which is reflected as an acceptance process of an organization for dynamic changes; the service/information technology matching degree index is represented by inconsistency (Misalignment) between the service and the information technology, the index curve generally shows a trend of ascending first and then descending, and finally becomes 0, but the time required for changing the index into 0 is not very different according to different execution degrees of the interactive behaviors; the agility curve is related to the influence of changes on the tissue performance, if all the changes are considered to improve the tissue performance within a certain time and then tend to be stable, the agility curve can be expressed as a growth curve, and the agility curve is only influenced by inconsistency in the growth process and is expressed as a zigzag growth trend; the consumption cost curve is a monotonically increasing curve, but may exhibit a fast or slow increase when different interaction behaviors are performed.
Adjusting the execution degrees of different interactive behaviors to reflect the difference of probability of acquiring knowledge, and then repeatedly executing the simulation model to obtain service/information technology mutual evolution performance curves under different interactive behavior execution degrees. FIG. 5 shows the average effect on the simulation model run 50 times based on varying human agent initial knowledge sharing probabilities, as a composite three performance indicator plot. The upper left side of fig. 5 expresses the process that the evolution curve of the business/information technology inconsistency shows a rapid rise before a rapid fall with the improvement of the initial knowledge sharing probability of the human agent; the process can be explained as follows, firstly, the knowledge sharing degree in the same domain is greater than that between different domains, so that the inconsistency between the business and the information technology is improved; then, along with the issuance of the instructions about the change, the inconsistency of the service and the information technology is reduced sharply; and due to the knowledge reserve in which the prior knowledge sharing is performed, the time when the inconsistency becomes 0 is advanced. The upper right side of fig. 5 expresses a curve of agility evolving with time, and this embodiment considers that dynamic internal and external changes improve the performance of the tissue within a certain time and finally tend to be stable; the agility curve is presented as a process that the agility slowly increases first and then rapidly increases as the probability of knowledge sharing increases; the process can be explained as that the increase of agility can be counteracted by larger inconsistency in the early stage of evolution, the increase of agility can be amplified by lower inconsistency in the later stage, and finally the agility tends to be stable along with the return-to-zero of the inconsistency. Fig. 5 shows a curve of the consumption cost varying with the knowledge sharing probability at the lower side, which represents a process in which the consumption cost steadily decreases as the knowledge sharing probability increases; the process can be interpreted as that although the reinforced knowledge sharing behavior consumes cost, the reinforced knowledge sharing behavior generates knowledge reserve due to the execution of the knowledge sharing behavior, so that the execution times of the instruction issuing behavior are reduced, otherwise, the instruction issuing behavior is repeatedly executed until all the personnel agents in a lower layer group obtain knowledge points; it is believed that command issuance incurs a higher cost, and such reduced command issuance results in a lower overall cost. According to the execution of fig. 5, the influence of different internal and external changes and different execution degrees of interactive behaviors on the mutual evolution performance of the business and the information technology can be analyzed, so that an optimized behavior scheme combination can be selected, a better evolution effect of the business and the information technology is achieved, and the management of matching the business and the information technology by an organization is guided.
It can be seen from the above that the system for service and information technology evolution provided by the present invention mainly comprises five modules: the system comprises a personnel agent structure module, an environment module, a personnel agent attribute module, a behavior interaction module and an organization performance module, wherein each model can dynamically analyze the influence of internal and external dynamic changes on the organization and the reaction of the organization to the changes, and explains the effect of mutual evolution of services and information technologies from the matching perspective. By analyzing the influence of different interactive behaviors and the execution degree of the interactive behaviors on the organization performance, the organization can be guided to execute the mutual evolution strategy, and the mutual evolution of the service and the information technology can be better managed and realized. In addition, by constructing a mutual evolution system of the service and the information technology, a mutual evolution path of the service and the information technology can be simulated, so that not only is supplementary provided for theoretical research of matching of the service and the information technology, but also guidance is provided for matching management of the service and the information technology.
The invention also provides a method for realizing the mutual evolution of the service and the information technology based on the system provided by the invention, which is shown in a method flow diagram shown in figure 6, and the method mainly comprises the following steps:
step S01: the method comprises the steps of dividing an organization into a service domain group corresponding to service personnel and an information technology domain group corresponding to information technology personnel, determining the superior-inferior relation and the grouping relation of the personnel in the organization, respectively appointing a personnel management service component and a technology component, and establishing an organization structure chart based on a personnel agent by taking the personnel as an agent according to the superior-inferior relation and the grouping relation of the personnel in the organization, and the intra-group and inter-group relations of each group of the organization.
Step S02: determining the influence of the dynamic change on different groups and different levels of personnel agents according to the cooperation and conflict relationship between a plurality of changes of the dynamic change of the internal demand and the external demand of the organization to form the mismatch situation of the business and the information technology,
step S03: determining the influence of the interaction behavior between the human agents on the attribute and behavior of the human agents according to the superior-subordinate relationship and the grouped relationship between the human agents,
step S04: and analyzing the performance of the organization from the matching angle between the business domain and the information technology domain, and adjusting the behavior interaction behavior between the personnel agents according to the analysis result.
The step S01 to the step S04 can be executed through corresponding modules in the system provided by the invention. Accordingly, no further description is made herein with respect to the method.
The invention also provides a storage medium, which is characterized in that the storage medium is a readable storage medium of a computer, and a computer program stored on the readable storage medium is executed by a processor to realize the method for mutual evolution of service and information technology.
While embodiments in accordance with the invention have been described above, these embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments described. Many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention and various embodiments with various modifications as are suited to the particular use contemplated. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. A system for service and information technology evolution, comprising:
a personnel agent structure module used for determining the superior-inferior relation and the grouping relation of personnel in the organization containing the service domain and the information technology domain, the intra-group relation and the inter-group relation of each group of the organization, and forming an organization structure chart based on personnel agents by taking the personnel as agents and according to each determined relation,
the environment module is used for generating dynamic changes of internal requirements and external requirements of the organization, wherein the dynamic changes act on different groups or different upper and lower levels in the personnel agent structure module, so that the personnel agent structure module changes the matching situation of a business domain group and an information technology domain group according to the dynamic changes to form the requirement of mutual evolution of business and information technology, wherein the environment module analyzes that the knowledge points brought to the personnel agent structure module by the changes with the cooperative relation in the dynamic changes are fewer than the knowledge points brought to the personnel agent structure module by the changes with the conflict relation in the dynamic changes, so as to determine the attribute set of the personnel agent according to the analysis result, and the knowledge points directly or indirectly act on the personnel agent in each layer in the personnel agent structure module;
a personnel agent attribute module for determining attribute sets of agents of business personnel and agents of information technology personnel according to the relation between the dynamic change and the dynamic change generated by the environment module to formally describe matching scenarios between business domains and the information technology domains,
a behavior interaction module for determining the interaction behavior between the human agents according to the human agent structure module and analyzing the influence of the interaction behavior on the attributes of the human agents to determine the mutual evolution process between the business domain and the information technology domain according to the analysis result,
the organization performance module is used for determining the matching degree of the attributes between the personnel agents of the service personnel and the personnel agents of the information technical personnel according to the attribute set of the personnel agents and analyzing the performance of the organization so as to dynamically adjust the interaction behavior of the behavior interaction module;
the human agent attribute module expresses the understanding degree of the set of knowledge points brought by the dynamic change generated by the environment module through the attribute set of the human agent, the understanding degree is expressed by adopting a numeric string of 0 or 1, when the corresponding position of the attribute set of the human agent is 1, the human agent already grasps a certain knowledge point in the set of knowledge points, when the corresponding position of the attribute set of the human agent is 0, the human agent does not grasp the certain knowledge point, and all the human agents are expressed in the human agent attribute module to form a numeric string by 0 and 1;
the behaviors in the behavior interaction module comprise:
a mutual communication behavior defined as a behavior of exchanging knowledge between the human agents through a communication method, wherein when a human agent executes the mutual communication behavior, if the knowledge of the human agent is transmitted or received, a transformation occurs between 0 and 1 indicating an attribute of the human agent, the behavior interaction module analyzes a possibility of mutual communication between the human agents in the same group in the human agent structure module, a possibility of mutual communication between the human agents in different groups, and a possibility of mutual communication between the human agents in different domains, and analyzes an influence of the mutual communication behavior on organizational performance by adjusting the possibility, and it is considered that the mutual communication behavior has occurred and the human agents who successfully exchange knowledge are more likely to occur;
knowledge sharing behavior, wherein the knowledge sharing behavior is defined as behavior of acquiring knowledge by the staff agents through a database extraction or communication manner, the database extraction manner refers to that the staff agents acquire knowledge related to the dynamic change of the environment module from the storage and update of the database, when the staff agents perform the knowledge sharing, a certain attribute of the staff agents is changed from 0 to 1 so as to represent that the staff agents of different groups and different levels of the staff agent structure module have the same capability of acquiring knowledge through the database, and the influence of the knowledge sharing behavior on the organizational performance is analyzed by adjusting the capability, and the communication manner refers to mutual communication behavior of the staff agents aiming at sharing knowledge,
knowledge perception behavior, the knowledge perception behavior is defined as behavior that the human agent perceives knowledge brought by dynamic change generated by the environment module in advance through external information, if the human agent does not experience the mutual communication behavior or the knowledge sharing behavior, future change can be perceived according to the external information in advance, when the human agent conducts the knowledge perception behavior, a certain attribute of the human agent is changed from 0 to 1, the abilities of perception knowledge of human agents in different fields and different levels of the human agent structure module are different, and the behavior interaction module analyzes the influence of the knowledge perception behavior on the organization performance by adjusting the abilities,
an information reporting behavior means that a lower-layer personnel agent reports information about the dynamic change generated by the environment module to an upper-layer personnel agent, the lower-layer personnel agent can report a plurality of knowledge points at one time, when the personnel agent carries out the information reporting behavior, the corresponding position of the attribute set of the upper-layer personnel agent is changed from 0 to 1,
the command issuing behavior refers to that the upper layer personnel agent issues information related to dynamic change generated by the environment module to the lower layer personnel agent, the upper layer personnel agent can issue a plurality of knowledge points at one time, and when the personnel agent performs the command issuing behavior, the corresponding position of the attribute set of the lower layer personnel agent is changed from 0 to 1; in order to avoid inertia factors of lower-layer personnel agents in the command issuing process, the command issuing behavior is considered to be repeatedly carried out for multiple times.
2. The system of claim 1, wherein the human agent structure module comprises:
a leader layer as the top layer of the staff agent structure module, wherein the leader layer is a decision-making staff comprising a business executive officer and an information executive officer, the leader layer is used for absorbing the dynamic change and analyzing the matching situation of the business domain and the information technology domain according to the dynamic change so as to issue a task comprising a decision-making command according to the analysis result,
a service and information technology manager layer as an intermediate layer of the personnel agent structure module, which mainly comprises main responsible personnel of the service domain and the information technology domain, the service and information technology manager layer is used for analyzing tasks issued by the leader layer, reporting or issuing the dynamically changed information, the service and information technology manager layer is divided into different groups according to the different tasks,
and the service and information technology execution layer is used as the lowest layer of the personnel agent structure module, mainly comprises main executives of the service domain and the information technology domain, is used for managing service activities and technical components, and is divided into a plurality of different groups according to the grouping of the service and information technology manager layer and the difference of the tasks.
3. The system of claim 1, wherein propagation of the knowledge set in the human agent attribute module is achieved by successive execution of a plurality of the behaviors, such that the human agent structure module assimilates the dynamically changing information generated by the environment module.
4. The system of claim 1, wherein the organization performance module calculates the performance index of the organization performance module through the continuous execution of the behavior interaction module, and adjusts the execution degree of the behavior according to the calculation result, so as to realize the mutual evolution between the internal business domain and the information technology domain of the organization.
5. The system of claim 4, wherein organizing the performance metrics of the performance module comprises:
a business and information technology matching degree used for representing the difference of the business domain and the information technology domain of the organization in the understanding degree of the dynamic change generated by the environment module, the difference of the understanding degree is represented by the difference degree of the attribute set of all the personnel agents of the business domain and the attribute set of all the personnel agents of the information technology domain, the difference degree of the understanding degree influences the performance advantage of the organization,
agility defined as the overall effect of said dynamic changes produced by said context module on an organization, said overall effect being expressed as the ratio of the effect of said dynamic changes on the performance of said organization to the extent to which said business domain matches said information technology domain, whereby said dynamic changes may increase or decrease the performance of the organization within a predetermined time period based on said overall effect to counteract or amplify the effect of the extent to which the business domain matches the information technology domain,
and the consumption cost is defined as the sum of the costs generated by all the human agents of the human agent structure module in the process of executing the interactive behaviors of the behavior interaction module.
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