CN111784199A - System, method and storage medium for service and information and technology mutual evolution - Google Patents
System, method and storage medium for service and information and 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 information) has been of increasing interest to organizational decision makers since the eighties and ninety years of the last century. The matching between the service and the information technology mainly refers to the continuous cooperative optimization relationship between the service target or the process and the information technology. The concept system of rank-based matching research, based on which matching of business and information technologies always conforms to causal logic and presents a high degree of balance and stability, has been extensively and intensively studied for the past three decades, regardless of whether static matching (statistical) or Sustainable matching (Sustainable alignment) is considered. 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 (coevolutionary) 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 and adaptation of the emerging 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 the business and information technology mutual evolution path 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 behavior of agents and the process of interaction 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 an agent.
A system for service and information technology evolutionary interaction, comprising:
a personnel agent structure module used for determining the upper and lower level relationship and the grouping relationship of personnel in the organization containing the service domain and the information technology domain, the intra-group relationship and the inter-group relationship of each group of the organization, and forming an organization structure diagram based on personnel agents by taking the personnel as agents and according to each determined relationship,
the environment module is used for generating dynamic changes of the internal requirements and the external requirements of the organization, 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 the service domain group and the information technology domain group according to the dynamic changes to form the requirement of mutual evolution of service and information technology,
a personnel agent attribute module for determining attribute sets of the agent of the business personnel and the agent of the technical information personnel according to the dynamic change generated by the environment module and the relationship between the dynamic change so as to formally describe the matching scene between the business domain and the information technology domain,
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 the middle layer of the personnel agent structure module, which mainly comprises the main responsible personnel of the service domain and the information technology domain, the service and information technology manager layer is used for analyzing the tasks issued by the leader layer, reporting or issuing the dynamically changing 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.
Preferably, the environment module analyzes that the change with the collaborative relationship in the dynamic change brings fewer knowledge points to the human agent structure module than the change with the conflicting relationship in the dynamic change brings to the human agent structure module, so as to determine the attribute set of the human agent according to the analyzed structure, wherein the knowledge points directly or indirectly act on the human agent in each layer in the human agent structure module.
Preferably, the human agent attribute module expresses the degree of understanding of the set of knowledge points brought about by the dynamic changes generated by the environment module through the attribute set of the human agent, and the degree of understanding is expressed by 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 the 0 and the 1.
Preferably, the behavior in the behavior interaction module comprises:
an inter-communication behavior defined as a behavior of exchanging knowledge between the human agents through a communication method, when the certain human agent executes the mutual communication action, if the knowledge of the certain human agent is sent or the knowledge of the opposite human agent of the certain human agent is received, the transformation between 0 and 1 of the attribute representing the human agent is generated, the behavior interaction module analyzes the possibility of mutual communication between the human agents in the same group in the human agent structure module, the possibility of mutual communication between the human agents in different groups, and the possibility of mutual communication between the human agents in different domains, analyzing the influence of the mutual communication behavior on the organization performance by adjusting the possibility, and considering that the mutual communication behavior is easier to occur among the personnel agents who have already occurred mutual communication behavior and successfully exchange knowledge;
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 refers to 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 share the knowledge, a certain attribute of the personnel agents is changed from 0 to 1 so as to represent that the personnel agents of different groups and different levels of the personnel agents have the same knowledge acquisition capability through the database, the influence of the knowledge sharing behavior on the organization performance is analyzed by adjusting the capability, and the mutual communication mode refers to mutual communication behavior of the personnel agents aiming at sharing the knowledge;
knowledge perception behaviors are defined as behaviors of the personnel agents perceiving knowledge brought by dynamic changes generated by the environment module in advance through external information, if the personnel agents do not pass through the mutual communication behaviors or the knowledge sharing behaviors, future changes can be perceived according to the external information in advance, when the personnel agents conduct the knowledge perception behaviors, a certain attribute of the personnel agents t is changed from 0 to 1, the abilities of the personnel agents in different fields and different levels of the personnel agent structure model to perceive knowledge are different, and the behavior interaction module analyzes the influence of the knowledge perception behaviors on the organization performance by adjusting the abilities,
the information reporting behavior means that the lower layer personnel agent group reports information related to the dynamic change generated by the environment module to the upper layer personnel agent group, the lower layer personnel agent group 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 instruction issuing behavior means 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 instruction issuing behavior, the attribute set corresponding position of the lower layer personnel agent is changed from 0 to 1; in order to avoid inertia factors of lower-layer personnel 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 comprise:
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 behaviors of the behavior interaction 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 the 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 an analysis of organization performance of a service and information technology mutual evolution system provided in the embodiment of the present invention;
fig. 6 is a flow chart of a method for service and information technology mutual 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 derived by a person skilled in the art from the embodiments given herein without any creative effort, shall fall within the protection scope of the present invention. It should be noted that "…" in this description of the preferred embodiment is only for technical attributes or features of the present invention.
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 human agent structure module, and the human 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. The business and information technology manager layer is used as a middle layer of the structure module, mainly comprises main responsible personnel of a business domain and an information technology domain, is used for analyzing a decision task issued by the upper layer, reporting to the upper level or issuing to the lower level to dynamically change information of the environment module, and an agent in the business and information technology manager layer can be divided into different groups according to different tasks issued by the leader layer. 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 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 interaction probability set, which includes a probability set of the human agent interacting with all other human agents, and is expressed in the form of an array, where the previous successful or failed interaction behavior is considered to affect the current interaction probability, which is different from the interaction probability in the initial situation, for example, if the initial interaction probability of the service manager layer and the information technology manager layer is 0.4, and assuming that a certain service manager agent has undergone a previous interaction behavior with a certain information technology manager agent in the evolution process and exchanged knowledge points successfully or unsuccessfully, the current interaction 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 non-linear dynamic changes of the internal and external needs of the organization, represented by inputting knowledge sets to the human agent structure module, e.g., if each change is considered to bring 5 knowledge points, then two changes with collaborative relationships may be considered to bring (5 x 2-2) knowledge points, and two changes with conflicting relationships may bring (5 x 2+2) knowledge points; the changed knowledge sets will act on the corresponding locations of the human agent structure modules. 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 the attribute set of the business personnel agent and the information technology personnel agent according to the dynamic change generated by the environment module and the relationship between the changes, so as to formally describe the matching situation of the business domain and the information technology domain.
The human agent attribute module can be used for determining the change mode of the change generated by the environment module to 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 human agent attribute module is used for determining an attribute set of each human agent at each simulation moment, and firstly, the human agent attribute set can be initialized according to changes generated by the environment module, for example, the environment module can generate two changes, one is acted on a business manager layer, and the other is acted on an information technology manager layer, and the two have no cooperation or conflict relationship, so that an attribute set of a certain business manager agent about the two changes is considered as [ 1111100000 ], an attribute set of a certain information technology manager agent about the two changes is considered as [ 0000011111 ], and an attribute set of the other human agent about the two changes is considered as [ 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 have 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 the 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, which is embodied as the transformation between 0 and 1 of the attribute of the corresponding position of the personnel agents, the possibility of mutual communication between the personnel agents in the same group, the possibility of mutual communication between the personnel agents in different groups and the possibility of mutual communication between the personnel agents in different domains are different, by adjusting the influence of the probability size analysis on the mutual evolution path and the organization performance, the mutual communication action is easier to occur between the personnel agents who have already performed the mutual communication action and successfully exchange knowledge, the interaction 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 capability. 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 perceive future changes in advance according to external information without mutual interaction behavior or knowledge sharing behavior, and when the human agents have knowledge perception 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 group reports to an upper-layer personnel agent about the change generated by the environment module, the lower-layer personnel agent group 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, is that upper personnel agent assigns the knowledge about the change that environmental module produced to lower floor personnel agent group, thinks that upper 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 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 so as to analyze the organization performance according to the matching degree, dynamically adjust the interaction behavior of the personnel agents and analyze 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 behavior of the behavior interaction module; the cost consumed by different interactive behaviors is different; the excessive consumption cost can restrict the execution of the interactive behavior, and further influence the path of the mutual evolution of the service and the information technology.
Specifically, the matching degree between the service and the information technology is understood as the difference between the attribute set of the service 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＝fm(V)/eMisalignment
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 acting on different levels in 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 inter-group, inter-group and inter-region interaction probability, so that the possibility of acquiring knowledge by the personnel agents is determined when the behaviors are executed; the parameters related to the organizational performance module mainly refer to the cost values of consumption of five interactive behaviors included in the execution of the organizational performance module, wherein the cost values of consumption of the interactive behaviors among groups, in groups and regions are not very same.
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 hundreds of simulation times until all changes are completely absorbed by the organization, so that each simulation time mainly includes four specific steps, specifically as follows:
step 1: 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.
Step 2: and the mutual communication behavior, the knowledge sharing behavior and the knowledge sensing behavior of the human agents are executed randomly, so that the dynamic interaction of the knowledge sets is facilitated.
Step 3: 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.
Step 4: and calculating the service/information technology matching degree, agility and consumption cost index 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 technologies with time as a horizontal axis, reflecting an acceptance process of an organization for dynamic changes; the service/information technology matching degree index is represented by inconsistency (misaligment) of service and 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 same according to different execution degrees of 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 represents the average effect on the simulation model run 50 times based on varying human agent initial knowledge sharing probabilities, represented 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 knowledge sharing probability increases; the process can be explained as 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. The lower side of fig. 5 expresses a curve of the consumption cost varying with the knowledge sharing probability, which is represented by a process that the consumption cost steadily decreases with the increase of the knowledge sharing probability; 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 instruction issue behavior incurs higher costs, and such reduced instruction issue behavior results in lower overall consumption costs. 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 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. 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 flow chart of the method illustrated in fig. 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 steps from the step S01 to the step S04 can be executed by 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 (10)
1. A system for service and information technology evolution, comprising:
a personnel agent structure module used for determining the upper and lower level relationship and the grouping relationship of personnel in the organization containing the service domain and the information technology domain, the intra-group relationship and the inter-group relationship of each group of the organization, and forming an organization structure diagram based on personnel agents by taking the personnel as agents and according to each determined relationship,
the environment module is used for generating dynamic changes of the internal requirements and the external requirements of the organization, 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 the service domain group and the information technology domain group according to the dynamic changes to form the requirement of mutual evolution of service and information technology,
a personnel agent attribute module for determining attribute sets of the agent of the business personnel and the agent of the technical information personnel according to the dynamic change generated by the environment module and the relationship between the dynamic change so as to formally describe the matching scene between the business domain and the information technology domain,
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.
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 the middle layer of the personnel agent structure module, which mainly comprises the main responsible personnel of the service domain and the information technology domain, the service and information technology manager layer is used for analyzing the tasks issued by the leader layer, reporting or issuing the dynamically changing 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 the environment module analyzes changes in the dynamic changes that have a collaborative relationship that brings fewer points of knowledge to the human agent structure module than changes in the dynamic changes that have a conflicting relationship to the human agent structure module to determine the set of attributes of the human agent based on the analyzed structure, the points of knowledge acting directly or indirectly on human agents in various layers of the human agent structure module.
4. The system of claim 1, wherein the human agent attribute module expresses a degree of understanding of a set of knowledge points brought about by the dynamic changes generated by the environment module through a set of attributes of the human agent, the degree of understanding being represented by a string of numbers 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 the 0 and the 1.
5. The system of claim 1, wherein the behavior in the behavior interaction module comprises:
an inter-communication behavior defined as a behavior of exchanging knowledge between the human agents through a communication method, when the certain human agent executes the mutual communication action, if the knowledge of the certain human agent is sent or the knowledge of the opposite human agent of the certain human agent is received, the transformation between 0 and 1 of the attribute representing the human agent is generated, the behavior interaction module analyzes the possibility of mutual communication between the human agents in the same group in the human agent structure module, the possibility of mutual communication between the human agents in different groups, and the possibility of mutual communication between the human agents in different domains, analyzing the influence of the mutual communication behavior on the organization performance by adjusting the possibility, and considering that the mutual communication behavior is easier to occur among the personnel agents who have already occurred mutual communication behavior and successfully exchange knowledge;
the knowledge sharing behavior is defined as a behavior that the human agents acquire knowledge through a database extraction or communication mode, the behavior through the database extraction refers to a behavior that the human agents acquire knowledge related to the dynamic change of the environment module from the storage and the update of the database, when the human agents perform the knowledge sharing, a certain attribute of the human agents is changed from 0 to 1 so as to represent that the human agents of different groups and different levels of the human agent structure model have the same knowledge acquiring capability through the database, and the influence of the knowledge sharing behavior on the organization performance is analyzed by adjusting the capability, wherein the mutual communication mode refers to mutual communication behavior of the human agents aiming at sharing knowledge,
knowledge perception behaviors are defined as behaviors of the personnel agents perceiving knowledge brought by dynamic changes generated by the environment module in advance through external information, if the personnel agents do not pass through the mutual communication behaviors or the knowledge sharing behaviors, future changes can be perceived according to the external information in advance, when the personnel agents conduct the knowledge perception behaviors, a certain attribute of the personnel agents t is changed from 0 to 1, the abilities of the personnel agents in different fields and different levels of the personnel agent structure model to perceive knowledge are different, and the behavior interaction module analyzes the influence of the knowledge perception behaviors on the organization performance by adjusting the abilities,
the information reporting behavior means that the lower layer personnel agent group reports information related to the dynamic change generated by the environment module to the upper layer personnel agent group, the lower layer personnel agent group 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 instruction issuing behavior means 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 instruction issuing behavior, the attribute set corresponding position of the lower layer personnel agent is changed from 0 to 1; in order to avoid inertia factors of lower-layer personnel in the command issuing process, the command issuing behavior is considered to be repeatedly carried out for multiple times.
6. The system of claim 5, 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.
7. 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.
8. The system of claim 7, wherein the performance metrics of the organizational 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 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.
9. 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.
10. A storage medium, characterized in that the storage medium is a readable storage medium of a computer, and a computer program stored on the readable storage medium, when executed by a processor, implements the method of service and information technology evolutionary each other as set forth in claim 9.
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