Digital knowledge management system for institutional learning and decision support

Abstract

A computer-implemented digital knowledge management system for institutional learning and decision support, comprising the following: A user interaction interface configured to receive structured institutional information from a variety of users connected to a university. This structured institutional information includes strategic issues, institutional goals, performance indicators, academic activity data, and decision-relevant input. an input processing unit that is operationally connected to the user interaction interface and is configured to capture, classify, and convert the received structured institutional information into machine-readable data sets; a collaborative culture assessment unit consisting of at least one processor and a memory in which executable instructions are stored, wherein the collaborative culture assessment unit is configured to collect and process organizational behavior data representing loyalty, engagement, cohesion, well-being and sense of community among members of the institutional leadership; a knowledge generation unit that is operationally linked to the collaborative culture assessment unit, wherein the knowledge generation unit is configured to analyze received knowledge records and generate new institutional knowledge by exploring alternative ideas, identifying new insights, and combining individual and collective institutional contributions; a knowledge exchange unit that is communicatively linked to the knowledge generation unit, wherein the knowledge exchange unit is configured to distribute the generated institutional knowledge to authorized users via controlled communication channels and structured knowledge dissemination procedures; a knowledge application unit designed to transform distributed institutional knowledge into decision support tools, including proposed strategic actions, operational recommendations, and measurable performance targets; an institutional learning repository consisting of a permanent digital storage system configured to store knowledge records, decision outcomes, institutional experiences, and insights gained from implemented decisions; a decision quality assessment processor that is operationally linked to the institutional learning repository and the knowledge application unit and is configured to evaluate generated decisions against predefined institutional criteria, including problem-solving effectiveness, strategic value contribution, achievement of institutional goals, and contribution to organizational learning; and a coordination processor configured to coordinate the operational interaction between the collaborative culture assessment unit, the knowledge generation unit, the knowledge sharing unit, the knowledge application unit, the institutional learning repository, and the decision quality assessment processor, such that the collaborative organizational conditions influence knowledge generation, knowledge distribution, knowledge utilization, and the subsequent evaluation of strategic decisions.

Description

AREA OF INVENTION

[0001] The present invention relates generally to the field of information technology systems for organizational management and decision support. In particular, it relates to a digital knowledge management system for institutional learning and decision support, as well as an online knowledge management system and the associated architecture of computer devices intended to facilitate institutional learning and strategic decision-making at universities and colleges. The invention integrates processes of collaborative cultural assessment, knowledge generation, knowledge sharing, and knowledge application in a unified digital environment to support the formulation, evaluation, and implementation of strategic decisions regarding teaching, research, and institutional engagement. BACKGROUND OF THE INVENTION

[0002] Universities increasingly operate in a rapidly changing environment characterized by technological upheavals, demographic shifts, political reforms, and heightened competition among institutions. These conditions require universities to make well-informed strategic decisions regarding study programs, research priorities, infrastructure development, and institutional partnerships. In this context, knowledge becomes a fundamental resource that influences the performance and long-term viability of these institutions.

[0003] Traditionally, universities rely on fragmented information sources and informal decision-making processes, often based on individual experiences or departmental interests rather than systematic institutional knowledge. As a result, valuable knowledge generated through research, administrative practice, and academic collaboration is frequently lost, underutilized, or confined to isolated organizational units.

[0004] Institutional knowledge typically exists in two main forms: explicit and implicit knowledge. Explicit knowledge encompasses documented and codified information stored in databases, reports, regulations, and information systems, while implicit knowledge describes the experiential knowledge, skills, and intuition of individual staff members within the institution. Effective institutional learning requires mechanisms to transform implicit knowledge into explicit knowledge and disseminate it throughout the organization.

[0005] Many existing knowledge management solutions focus solely on document storage or information exchange, without establishing a systematic link between knowledge processes and strategic decision-making. Furthermore, current solutions rarely include mechanisms for measuring the collaborative culture within leadership teams or for evaluating the quality of decisions generated through knowledge processes.

[0006] Therefore, there is a need for an integrated online knowledge management system that is capable of capturing institutional knowledge, structuring collaborative learning processes, and directly linking these processes with the formulation and evaluation of strategic decisions within universities.

[0007] Universities and colleges operate in an increasingly complex and competitive environment where strategic decisions must be based on accurate information, shared insights, and accumulated institutional knowledge. In modern academic systems, decision-making extends beyond traditional administrative procedures and requires the coordination of diverse stakeholders, including faculty, administrators, researchers, policymakers, and external partners. These stakeholders contribute diverse forms of knowledge, including research findings, institutional experience, operational data, and contextual insights from academic practice. As higher education systems grow and diversify, institutions must effectively capture, organize, and utilize this knowledge to foster sustainable development, academic innovation, and long-term competitiveness.Knowledge management systems have therefore established themselves as an essential technological approach for managing institutional knowledge and improving decision-making quality at universities. These systems aim to facilitate the processes of knowledge generation, storage, exchange, and application within organizational environments. Despite significant advances in information technology, however, existing knowledge management solutions do not yet fully meet all the specific requirements of institutional learning and strategic decision-making in the higher education context.

[0008] Traditional knowledge management solutions at universities are often based on central document repositories or institutional databases that store academic records, research publications, administrative reports, and policy documents. These systems primarily serve as archival platforms for storing and retrieving explicit knowledge in digital formats. While such repositories offer valuable storage capacity, they typically lack mechanisms for integrating tacit knowledge, which arises from the collaborative experiences, discussions, and problem-solving activities of institutional stakeholders. Tacit knowledge, encompassing personal expertise, professional judgment, and experiential insights, constitutes a substantial part of institutional knowledge at universities.Existing document management systems are typically unable to effectively capture or structure this form of knowledge, leading to knowledge fragmentation and the loss of valuable insights that could otherwise support strategic planning and institutional development.

[0009] Another category of existing solutions comprises knowledge management platforms for businesses. These platforms include collaborative tools such as discussion forums, shared workspaces, and internal communication systems that enable employees to exchange ideas and information. While these solutions improve knowledge sharing in business environments, their design is generally geared more toward operational efficiency and productivity than academic leadership and institutional learning. Universities differ significantly from businesses in their leadership structures, decision-making processes, and cultural dynamics. Academic institutions emphasize peer collaboration, intellectual research, and participatory leadership, which requires knowledge systems that support open dialogue, reflective learning, and analysis from multiple perspectives.Many corporate knowledge management tools lack analytical mechanisms for evaluating collaborative culture or the quality of strategic decisions resulting from knowledge-sharing processes. Therefore, these systems often fail to adequately support the complex and iterative decision-making structures that characterize university management.

[0010] In recent years, universities have implemented various digital learning management systems (LMS) and institutional information systems (IFS) that provide integrated platforms for teaching, research administration, and academic document management. LMS facilitate the delivery of online courses, content distribution, and student performance assessment, while IMS manage operational data on admissions, finances, faculty activities, and research output. Although these platforms generate large volumes of institutional data, they are primarily designed for operational management rather than strategic knowledge processing. The data generated by such systems is typically stored in isolated modules or databases without comprehensive analytical integration.Therefore, university administrations often find it difficult to extract meaningful insights from the collected data when making strategic decisions regarding program development, resource allocation, or institutional partnerships.

[0011] Some universities have implemented data analytics and business intelligence platforms to improve data-driven decision-making. These systems use statistical models and visualization tools to analyze institutional datasets and generate performance indicators related to academic productivity, student enrollment, research funding, and operational efficiency. While these analytical tools provide valuable insights into institutional performance, they typically operate as standalone systems that process quantitative data without incorporating qualitative knowledge from collaborative discussions or academic expertise. Strategic decision-making at universities often involves subjective considerations, disciplinary judgment, and the contextual interpretation of institutional experiences.Traditional analysis platforms are limited in their ability to integrate such qualitative dimensions into decision-making processes, leading to incomplete representations of institutional knowledge.

[0012] Another limitation of existing knowledge management solutions lies in their inability to assess the role of a collaborative culture in institutional learning. Effective knowledge generation and transfer at universities depend significantly on the level of trust, openness, and engagement between academic leaders and administrative staff. Institutions with a strong collaborative culture are more likely to foster the exchange of ideas, constructive debate, and joint problem-solving activities. However, most knowledge management systems lack mechanisms for measuring or analyzing cultural indicators related to collaboration. Without such mechanisms, it is difficult to understand how interpersonal relationships and organizational culture influence knowledge flow and strategic outcomes within the institution.

[0013] Furthermore, existing systems typically focus on knowledge storage or exchange without establishing a structured link between knowledge processes and strategic decision-making outcomes. Knowledge generated at universities often remains disconnected from formal decision-making processes because institutions lack integrated platforms that transform collective insights into actionable strategies. As a result, valuable institutional knowledge may remain untapped or inaccessible when leadership teams formulate policies or respond to emerging challenges. The absence of structured knowledge cycles also prevents institutions from systematically learning from past decisions and improving future strategic planning processes.

[0014] Another drawback of current knowledge management platforms is the lack of continuous feedback mechanisms for evaluating the effectiveness of implemented decisions. Strategic decisions at universities often involve long-term initiatives such as curriculum reforms, research investments, infrastructure development, or community engagement programs. Evaluating the success of such initiatives requires systematic monitoring of outcomes and comparison with predefined objectives. Most existing systems do not integrate decision evaluation modules that can assess whether implemented strategies successfully solve institutional problems or create sustainable value. Without such evaluation mechanisms, institutions risk repeating ineffective strategies or failing to learn from past initiatives.

[0015] Beyond these functional limitations, many existing knowledge management solutions are not specifically tailored to the unique leadership structures of universities. Academic institutions typically operate with distributed leadership models that include committees, academic councils, faculty councils, and administrative units. Decision-making processes often require consensus-building and consultation with diverse stakeholders. Traditional information systems do not adequately support these participatory leadership mechanisms, limiting their effectiveness in fostering collaborative strategic planning. Furthermore, the lack of integrated knowledge frameworks prevents institutions from building a cumulative organizational memory that can guide future leaders and administrators.

[0016] Given these challenges, there remains a significant need for an advanced knowledge management system that integrates the analysis of collaborative cultures, the management of knowledge cycles, and the evaluation of strategic decisions within a unified digital environment. Such a system should capture both explicit and implicit knowledge, foster collaborative knowledge generation, enable effective knowledge sharing between institutional units, and translate collective insights into strategic action. Furthermore, the system should include analytical mechanisms that assess the quality and effectiveness of strategic decisions while continuously strengthening institutional learning processes.By overcoming these limitations, a comprehensive knowledge management platform can significantly improve universities' ability to navigate complex environments, foster innovation, and achieve sustainable institutional development through informed and collaborative decision-making. SUMMARY OF THE INVENTION

[0017] The present invention overcomes the aforementioned limitations by providing an online knowledge management system that supports institutional learning and strategic decision-making at universities. The system integrates several functional modules that together enable knowledge generation, knowledge sharing, knowledge application, and the evaluation of decision outcomes.

[0018] In one embodiment, the invention comprises a computer-based knowledge management platform with a user interface, a module for analyzing collaborative culture, an engine for processing knowledge cycles, an institutional learning repository, and an engine for evaluating decision quality. The system receives input on institutional challenges, strategic goals, and performance indicators from authorized users, including university administrators, academic leaders, and administrative staff.

[0019] The module on collaborative culture assesses indicators of trust, commitment, cohesion, and collective engagement within leadership teams. These indicators influence the functioning of the knowledge cycle process, which governs the phases of knowledge generation, knowledge sharing, and knowledge application.

[0020] The knowledge generated by the system is stored in an institutional learning archive, which functions as a central organizational memory. This archive enables the long-term storage and retrieval of insights gained, decisions made, strategic initiatives, and their resulting outcomes.

[0021] The system also includes a module for evaluating decision quality, which analyzes the effectiveness of strategic decisions by measuring their contribution to problem-solving, institutional value creation, the achievement of strategic goals, and the generation of institutional learning.

[0022] In addition to the software architecture, the invention also includes a special machine-implemented device architecture that is configured to execute the described knowledge management processes via a network-connected computer structure.

[0023] The present invention aims to provide an online knowledge management system that supports institutional learning and improves strategic decision-making at universities and colleges. The invention aims to establish an integrated digital platform that enables universities to systematically create, capture, organize, store, and utilize institutional knowledge generated through academic, administrative, and collaborative activities. By providing a structured environment for knowledge management, the invention aims to ensure that valuable institutional insights and experiences are preserved and made accessible for future strategic planning and policy development.

[0024] A further objective of the present invention is the development of a technological system that enables the effective generation, exchange, and application of knowledge among various actors in the university environment. The invention aims to promote collaboration between academic leaders, administrators, faculty, and institutional staff by providing a platform for the exchange of ideas, experiences, and research-based insights. Through this collaborative framework, the system fosters joint problem-solving and innovative thinking, which can contribute to improved institutional governance and academic advancement.

[0025] A further objective of the invention is to provide a machine-implemented knowledge processing device that analyzes institutional inputs and generates structured knowledge outputs to support strategic decision-making processes. The system is designed to integrate computational mechanisms that capture institutional data, process collaborative knowledge contributions, and transform these into actionable information that can guide administrative decisions regarding academic programs, research initiatives, and organizational management.

[0026] Another objective of the invention is to provide a knowledge repository that functions as a central institutional memory, storing explicit knowledge such as strategy papers, research findings, reports, and administrative data. Simultaneously, it enables the conversion of implicit knowledge from institutional experience into accessible digital formats. The invention thus aims to prevent the loss of valuable institutional knowledge and to ensure that insights gained from past decisions are available for future institutional strategies.

[0027] Another objective of the invention is to provide a mechanism for evaluating a collaborative culture that can capture the level of trust, commitment, cooperation, and communication among institutional actors. By measuring these cultural indicators, the system can identify factors that influence knowledge sharing and collaborative learning within the institution. This capability enables universities to strengthen internal collaboration and improve the effectiveness of collective decision-making processes.

[0028] A further objective of the present invention is to provide a structured knowledge management system that integrates the processes of knowledge generation, knowledge dissemination, and knowledge utilization into a continuous institutional learning process. Through this mechanism, the invention aims to enable universities to translate ideas and experiences into strategic measures while simultaneously ensuring that the results of these measures are systematically evaluated and incorporated into future decision-making processes.

[0029] A further objective of the invention is to provide an analytical decision evaluation system that can measure the effectiveness and quality of institutional decisions based on predefined performance indicators. The system serves to assess whether strategic initiatives successfully address institutional challenges, generate added value for the university, and contribute to achieving long-term organizational goals. This function enables institutions to monitor the results of implemented strategies and continuously improve their governance processes.

[0030] Another objective of the invention is to provide a scalable and network-enabled computer architecture that can be used in distributed institutional environments. The system is designed to support secure data exchange between different departments, administrative units, and academic centers within a university. Through this network-based structure, the invention enables multiple stakeholders to participate in knowledge processes, regardless of their physical location within the institution.

[0031] A further objective of the present invention is to provide a user-friendly digital interface that enables institutional users to access knowledge resources, participate in collaborative discussions, contribute strategic ideas, and view analytical decision results. By simplifying the interaction between users and the knowledge management system, the invention aims to promote the widespread application of knowledge-sharing practices within the university community.

[0032] A further aim of the invention is to increase the efficiency, transparency, and accountability of university administration by ensuring that strategic decisions are based on comprehensive institutional knowledge and collaborative contributions. Through the integration of technological infrastructure and knowledge management methods, the invention aims to transform institutional learning into a continuous and systematic process that strengthens the strategic capabilities of universities.

[0033] The aim of the present invention is to provide a comprehensive technological solution that overcomes the limitations of existing knowledge management systems by combining collaborative culture assessment, knowledge lifecycle management, institutional learning repository, and strategic decision evaluation within a unified digital framework. Through these integrated functions, the invention is intended to enable universities to make informed decisions, adapt to changing circumstances, and achieve sustainable institutional development. BRIEF DESCRIPTION OF THE IMAGE

[0034] These and other features, aspects and advantages of the present invention will be better understood if the following detailed description is read with reference to the accompanying drawing, in which the same symbols represent the same parts: Fig. Figure 1 shows a block diagram of a computer-implemented digital knowledge management system for institutional learning and decision support.

[0035] Furthermore, those skilled in the art will recognize that the elements in the drawing are simplified and not necessarily drawn to scale. For example, the flowcharts illustrate the process by highlighting the main steps to facilitate understanding of the present disclosure. With regard to the construction of the device, one or more components may be represented in the drawing by conventional symbols. The drawing may show only those specific details relevant to understanding the embodiments of the present disclosure, so as not to clutter the drawing with details that are already apparent to those skilled in the art from the description contained herein. Detailed description of the invention

[0036] To facilitate understanding of the principles of the invention, reference is made below to the embodiment shown in the drawing, which is described using specific terms. It is understood, however, that this does not limit the scope of protection of the invention. Rather, modifications and further developments of the depicted system, as well as further applications of the inventive principles shown therein, are conceivable, insofar as they would normally occur to a person skilled in the art in the field of the invention.

[0037] It will be clear to those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not to be understood as a limitation thereof.

[0038] References to “an aspect”, “another aspect”, or similar phrases in this description mean that a particular feature, structure, or property described in connection with the embodiment is included in at least one embodiment of the present disclosure. Therefore, phrases such as “in one embodiment”, “in another embodiment”, and similar expressions in this description may, but do not necessarily, all refer to the same embodiment.

[0039] The terms "includes," "comprehensive," or similar expressions denote non-exclusive inclusion. Thus, a procedure or method containing a list of steps does not only include those steps but may also include further steps not explicitly listed or inherent in the procedure or method. Likewise, the statement "includes..." for one or more devices, subsystems, elements, structures, or components, without further limitations, does not preclude the existence of other devices, subsystems, elements, structures, or components.

[0040] Unless otherwise defined, all technical and scientific terms used herein have the same meanings generally known to those skilled in the art in the field to which this invention belongs. The systems, methods, and examples described herein serve only for illustration and are not to be understood as limiting.

[0041] Embodiments of the present disclosure are described in detail below with reference to the attached drawing.

[0042] The present invention relates to a digital knowledge management system for institutional learning and decision support. Fig.Figure 100 shows a block diagram of the computer-implemented digital knowledge management system for institutional learning and decision support. The system comprises: a user interface (102) configured to receive structured institutional information from a variety of users at a university. This structured institutional information includes strategic questions, institutional goals, performance indicators, academic activity data, and decision-relevant inputs; and an input processing unit (104) operationally connected to the user interaction interface and configured to capture, classify, and transform the received structured institutional information into machine-readable knowledge datasets.a collaborative culture assessment unit (106) comprising at least one processor and a memory in which executable instructions are stored, wherein the collaborative culture assessment unit is configured to capture and process organizational behavior data representing loyalty, engagement, cohesion, well-being, and sense of community among members of the institutional leadership; a knowledge generation unit (108) operationally linked to the collaborative culture assessment unit, wherein the knowledge generation unit is configured to analyze received knowledge records and generate new institutional knowledge by exploring alternative ideas, identifying new insights, and combining individual and collective institutional contributions;a knowledge exchange unit (110) that is communicatively linked to the knowledge generation unit and configured to distribute the generated institutional knowledge to authorized users via controlled communication channels and structured knowledge dissemination procedures; a knowledge application unit (112) configured to transform distributed institutional knowledge into decision support outcomes, including proposed strategic actions, operational recommendations, and measurable performance targets; an institutional learning repository (114) consisting of a permanent digital storage system configured to store knowledge records, decision outcomes, institutional experiences, and lessons learned from decisions made;a decision quality assessment processor (116) that is operationally linked to the institutional learning repository and the knowledge application unit and is configured to assess generated decisions against predefined institutional criteria, including problem-solving effectiveness, strategic value contribution, achievement of institutional goals, and contribution to organizational learning; and a coordination processor (118) that is configured to coordinate the operational interaction between the collaborative culture assessment unit, the knowledge generation unit, the knowledge sharing unit, the knowledge application unit, the institutional learning repository, and the decision quality assessment processor in such a way that the collaborative organizational conditions influence knowledge generation, knowledge sharing, knowledge utilization, and the subsequent assessment of strategic decisions.

[0043] In one embodiment, the collaborative culture assessment unit (106) further comprises a data acquisition circuit configured to regularly capture behavioral indicators of members of the leadership team using digital questionnaires, interaction records, communication metrics, and logs of collaborative activities, wherein the processor is configured to calculate composite indicators of collaborative culture representing interpersonal trust, institutional commitment, and collective cohesion.

[0044] In one embodiment, the knowledge generation unit (108) further comprises a knowledge synthesis processor configured to identify relationships between heterogeneous knowledge datasets, including academic performance data, research results, institutional policy documents and external environmental indicators, and thereby generate new institutional knowledge representations through systematic comparison, aggregation and interpretation of the heterogeneous datasets.

[0045] In one embodiment, the knowledge exchange unit (110) further comprises a controlled access management circuit configured to regulate the dissemination of institutional knowledge to predetermined user groups, including university administrators, academic staff, researchers and decision-makers, according to defined authorization levels and institutional governance guidelines.

[0046] In one embodiment, the knowledge application unit (112) comprises a decision formulation processor configured to transform distributed institutional knowledge into structured decision proposals by generating alternative strategic scenarios, linking each scenario with predicted institutional outcomes, and presenting the generated scenarios via the user interaction interface for evaluation by authorized decision-makers.

[0047] In one embodiment, the institutional learning repository (114) also stores historical decision data sets, including contextual information that describes the institutional conditions existing at the time of decision-making, the execution parameters applied during implementation, and the performance results observed after implementation of the decisions.

[0048] In one embodiment, the decision quality assessment processor (116) further comprises an analysis processor configured to compare the decision outcomes stored in the institutional learning repository with predefined institutional goals and performance indicators to generate quantitative and qualitative assessments of decision effectiveness.

[0049] In an embodiment further comprising a diversity analysis unit configured to receive demographic and professional data about members of the leadership team, including gender characteristics, academic specialization, functional roles and leadership styles, wherein the diversity analysis unit is configured to identify relationships between the diversity characteristics of the leadership level and the institutional learning patterns stored in the institutional learning repository.

[0050] In one embodiment, the diversity analysis unit further comprises a correlation analysis circuit configured to determine whether variations in the parameters of leadership diversity affect the volume of knowledge generation, the frequency of knowledge dissemination, and the effectiveness of knowledge-based decisions.

[0051] In one embodiment, the coordination processor (118) is further configured to establish an iterative institutional learning cycle by automatically transmitting the results generated by the coordination processor (118). The decision quality evaluation processor is forwarded to the knowledge generation unit and the collaborative culture evaluation unit so that subsequent institutional decisions can be made based on insights gained from previously made decisions.

[0052] The present invention relates to a computer-based system for supporting institutional learning and improving the quality of strategic decisions at universities and other higher education institutions. The system integrates collaborative organizational behavior analysis, structured knowledge management, and decision evaluation within a coordinated computing environment. It operates with networked processing units and data storage systems that receive institutional information, transform it into actionable knowledge, distribute the generated knowledge to institutional actors, apply it to strategic decisions, and evaluate the effectiveness of the decisions made, thereby establishing a continuous institutional learning cycle.

[0053] The system comprises a user interface that receives structured institutional input from authorized users such as university administrations, university management, researchers, and policymakers. This input includes strategic institutional questions, academic teaching performance indicators, operational challenges, perspectives of university management, and contextual environmental data relevant to decision-making. The user interface is connected to an input processing unit that captures the received information and transforms it into machine-readable datasets. The input processing unit performs data normalization, categorization, and preparation for storage to ensure that heterogeneous information from various institutional sources can be processed in a uniform data format.The normalized data sets are then forwarded to other system components for further analysis and use.

[0054] A unit for assessing collaborative organizational culture is operationally linked to the input processing unit and serves to evaluate organizational behavioral characteristics of leadership teams and institutional members. This unit comprises at least one processor and a memory containing executable instructions that enable the system to analyze behavioral indicators reflecting loyalty, engagement, cohesion, well-being, and a sense of community within the institution's leadership environment. The unit collects behavioral data using structured digital questionnaires, communication protocols, leadership participation metrics, and records of collaborative activities within the institution. The collected behavioral indicators are processed to generate summary representations of the collaborative organizational culture, characterizing the degree of cooperation and shared commitment among decision-makers.These representations are subsequently used by downstream system components to influence knowledge generation and decision-making.

[0055] A knowledge generation unit generates new institutional knowledge by analyzing structured knowledge datasets created by the input processing unit and representations of collaborative culture generated by the collaborative culture assessment unit. The knowledge generation unit comprises a processor that systematically compares, synthesizes, and interprets heterogeneous institutional information. This includes data on academic performance, research outputs, institutional policies, administrative reports, and environmental indicators relevant to higher education institutions. The processor identifies relationships and patterns in the institutional data and generates new knowledge representations that reveal insights, opportunities, and strategic alternatives for the institution.The knowledge generation unit thus enables the transformation of scattered institutional information into coherent knowledge resources that support strategic institutional decisions.

[0056] Once the knowledge generation process has produced institutional knowledge representations, this knowledge is transferred to a knowledge distribution unit, which then forwards it to authorized institutional actors. The knowledge distribution unit has an access control structure that regulates knowledge dissemination according to predefined authorization guidelines and institutional governance requirements. Through this unit, the generated knowledge can be communicated to specific groups such as university administrations, departments, research committees, and strategic planning bodies. The knowledge distribution process ensures that relevant actors have access to the generated institutional knowledge while maintaining confidentiality and compliance with governance requirements.

[0057] Following the dissemination of knowledge, a knowledge application unit uses it to generate decision aids that support institutional leadership in making strategic decisions. The knowledge application unit includes a decision-making processor that transforms knowledge representations into structured decision proposals. Based on the available knowledge, the processor creates alternative strategic scenarios and assigns potential institutional outcomes to each scenario. The decision-making processor presents these scenarios to authorized decision-makers via a user interface. This allows leadership teams to evaluate the proposed alternatives in light of institutional goals, available resources, and anticipated challenges. This process enables institutional decision-makers to consider various strategic paths derived from the collected organizational knowledge.

[0058] The system also includes an institutional learning archive, which serves as a permanent digital repository for knowledge documents, decision outcomes, institutional experiences, and insights from past strategic decisions. The archive stores historical information on the context of each decision, the operational parameters applied during implementation, and the observed results after execution. By maintaining this archive of historical institutional knowledge, the system enables the organization to learn from past experiences and incorporate these insights into future decision-making processes.

[0059] The decision quality assessment processor is operationally linked to both the knowledge application unit and the institutional learning repository. This processor includes an analysis processor that evaluates the effectiveness of implemented decisions against predefined institutional criteria. These criteria include the degree to which the intended institutional problem is solved, the achievement of the institution's strategic goals, the value generated for the organization, and the decision's contribution to institutional learning. The assessment unit compares the actual performance outcomes recorded in the institutional learning register with the expected outcomes defined during the decision-making phase. The results of this comparison provide qualitative and quantitative indicators that reflect the decision's effectiveness.

[0060] In addition to evaluating decision outcomes, the Decision Quality Evaluation Processor also provides feedback to other system components to enhance future institutional learning. The Coordination Processor manages the operational interaction between the Collaborative Culture Evaluation Unit, the Knowledge Generation Unit, the Knowledge Sharing Unit, the Knowledge Application Unit, and the Decision Quality Evaluation Processor. After a decision is evaluated, the results are fed back to the Knowledge Generation Unit and the Collaborative Culture Evaluation Unit. This feedback enables the system to refine knowledge generation processes and update representations of collaborative culture based on observed decision outcomes.

[0061] The system's technical process begins as soon as institutional users submit structured input via the user interface. The input processing unit transforms this input into normalized knowledge datasets and stores them for analysis. Simultaneously, the collaboration culture assessment unit processes behavioral data to identify indicators of collaboration culture within the context of the leadership environment. The knowledge generation unit receives both the knowledge datasets and the collaboration culture indicators and performs analytical processing to generate new institutional knowledge. The generated knowledge is then distributed by the knowledge distribution unit to authorized stakeholders, who can access and interpret it via the interface.

[0062] The knowledge application unit then transforms the distributed knowledge into decision proposals by generating alternative strategic scenarios and predicted outcomes. Once institutional leaders select and implement a specific decision scenario, the implementation data associated with the implementation is captured and stored in the institutional learning repository. The decision quality assessment processor then analyzes the implementation results by comparing the observed outcomes with predefined institutional goals and performance indicators. The assessment results are then fed back to the knowledge generation and collaborative culture assessment units via the coordination processor. This creates an iterative learning cycle in which the institution continuously improves its knowledge base and decision quality.

[0063] Through the coordinated interaction of these computer components, the system enables universities to systematically capture institutional knowledge, analyze collaborative organizational conditions, gain strategic insights, integrate these into decision-making processes, and evaluate the results. The system's iterative learning cycle allows institutions to continuously refine their strategies, thereby improving both organizational learning and the quality of strategic decisions made by university management.

[0064] In one embodiment, the invention comprises a machine-implemented device that functions as a knowledge management processing unit for universities. The device includes a processing subsystem, a storage subsystem, a data acquisition interface, a collaborative analysis engine, and a network communication interface.

[0065] The processing subsystem comprises one or more microprocessors configured to execute computer-readable instructions related to knowledge management functions. These processors interact with a persistent storage subsystem that stores program instructions, institutional records, knowledge artifacts, and historical decision logs.

[0066] A data acquisition interface is used to collect input data from various sources, including administrative databases, academic information systems, survey platforms, and external knowledge databases. The interface transforms the incoming data into structured formats suitable for analysis by the knowledge management engine.

[0067] The collaborative work analytics platform functions as a specialized computing module that evaluates indicators of a collaborative culture within institutional leadership teams. This platform analyzes user interactions, survey responses, participation metrics, and communication patterns to generate measurable indicators of institutional collaboration.

[0068] The device also includes a knowledge cycle processor that manages the transformation of knowledge in sequential phases such as creation, dissemination, and application. The processor integrates analytical methods capable of identifying new ideas, recognizing patterns in institutional knowledge flows, and generating structured decision proposals.

[0069] The device architecture incorporates an institutional learning storage unit that stores structured knowledge datasets. This storage unit manages historical archives of strategic decisions, research findings, institutional experiences, and best practices.

[0070] An integrated decision evaluation system assesses the results of implemented strategies. This system uses performance indicators such as academic output, research productivity, institutional engagement metrics, and policy compliance to evaluate decision effectiveness.

[0071] The device also features a communication interface configured for data transmission and reception over internal networks or cloud-based infrastructures. This interface allows the knowledge management system to interact with distributed computing environments, thus enabling remote access for authorized institutional users.

[0072] The invention is based on an integrated knowledge management framework that links a collaborative culture with knowledge processes and strategic decision-making outcomes. Authorized users access the system via a graphical user interface on a web-based platform. They submit institutional challenges, strategic goals, and contextual information related to academic programs, research initiatives, or administrative issues.

[0073] The collaborative culture module continuously assesses the level of cooperation, trust, and engagement within institutional leadership teams. These cultural indicators influence the knowledge generation process by determining the degree of openness and participation in ideation activities.

[0074] The knowledge generation module enables institutional teams to explore ideas, integrate individual insights, and develop new conceptual approaches to organizational problems. This process is supported by digital workspaces, analytical tools, and collaborative environments that foster intellectual exploration and innovation.

[0075] Once new ideas have been generated, the knowledge exchange module distributes them to the various institutional units via structured communication channels, including knowledge databases, discussion platforms, and digital documentation systems. This phase ensures that the knowledge developed in one department or management group is made accessible to the entire institution.

[0076] Following the dissemination of knowledge, the knowledge application module transforms this knowledge into concrete decisions and operational actions. Managers can evaluate alternative strategies, simulate potential outcomes, and select appropriate courses of action that align with institutional goals.

[0077] The results of implemented decisions are recorded and analyzed by the decision quality assessment module. This module measures the effectiveness of decisions in solving institutional problems, creating strategic added value, achieving predefined goals, and generating new institutional knowledge.

[0078] The feedback generated during the evaluation process is reintegrated into the modules for collaborative culture and knowledge generation, thus creating a continuous institutional learning cycle. Through repeated iterations of this cycle, the system promotes the accumulation and refinement of institutional knowledge over time.

[0079] The system is implemented through a combination of physical electronic hardware components integrated into one or more computer devices, forming a distributed or centralized institutional information processing structure. The user interface is provided by physical input / output devices such as touchscreens, keyboards, pointing devices, and audio inputs, which are built into the computer terminals or mobile devices used by university staff. These input / output components are electrically connected to interface controllers and communication interfaces that enable the physical reception and transmission of structured institutional information—including strategic issues, institutional goals, and performance indicators—to the internal processing unit.The input processing unit consists of programmable processors on a system board, connected via a system bus to volatile and non-volatile memory. The processors execute stored instruction sets to capture, classify, and convert incoming institutional information into machine-readable data records. These are temporarily cached in memory registers before being transferred to other processing units within the system.

[0080] The collaborative culture assessment unit comprises at least one microprocessor with integrated memory circuitry and associated data acquisition circuitry. This unit receives behavioral indicators from executives via the user interface and communication channels. The data acquisition circuitry may include network communication transceivers, input controllers, and data buffer components that capture digital questionnaire responses, communication activity metrics, and logs of collaborative interaction. The collaborative culture assessment unit's processor performs computational operations using arithmetic logic circuitry and memory registers to generate composite indicators representing executive loyalty, engagement, cohesion, and institutional well-being. The knowledge generation unit is implemented through dedicated processor circuitry coupled with memory structures.These units can retrieve heterogeneous knowledge datasets from system memory and perform structured data analyses. Using processor-driven instruction sequences, the unit identifies relationships between institutional datasets, including academic performance data, research outcome information, policy documents, and external environmental indicators, to generate new institutional knowledge representations and store them in memory buffers.

[0081] The knowledge exchange unit is implemented through communication interface hardware and access management circuits configured to transmit generated knowledge datasets to authorized users via network connections. This hardware includes wired or wireless communication transceivers, interface controllers, and secure access control circuits that regulate the dissemination of institutional knowledge based on predefined authorization levels for administrators, academic staff, researchers, and decision-makers. The knowledge application unit is embodied by a decision-making processor circuit connected to storage elements and output controllers. These transform distributed knowledge into structured decision support tools.The processor circuitry generates alternative strategic scenarios and links each scenario to predicted institutional outcomes through computer-aided processing of stored knowledge data. These results are transmitted via output interface hardware, such as display drivers or communication interfaces, to present the decision proposals to authorized users through the user interface.

[0082] The institutional learning repository is implemented using persistent hardware storage media such as semiconductor memory, magnetic storage media, or other non-volatile digital storage elements, which are physically integrated into the system architecture. The repository stores institutional knowledge datasets, historical decision data, contextual information about the institutional conditions at the time of decision-making, implementation parameters applied during execution, and performance results observed after implementation. The decision quality evaluation processor comprises an analytical processing circuit connected to the repository via system buses and memory interfaces. This enables the retrieval of stored decision results and their comparison with predefined institutional goals and performance indicators.Through the arithmetic operations performed by the processor circuitry, the evaluation unit generates quantitative and qualitative assessments of decision effectiveness, which are then stored in the repository or transferred to other processing units.

[0083] The diversity analysis unit is implemented through additional processing circuits and memory structures that receive demographic and professional information from managers via the input interface and communication hardware. The processing circuits analyze this input to determine correlations between the diversity characteristics of managers and patterns of institutional learning stored in the repository. The correlation analysis circuit within the unit performs statistical comparisons to determine whether variations in the diversity parameters of managers affect the volume of knowledge generation, the frequency of knowledge dissemination, and the effectiveness of knowledge-based decisions. The coordination processor includes a central control circuit connected to each of the aforementioned units via the system bus, managing data exchange and the operational sequence between them.Using control commands stored in memory, the coordination processor establishes an iterative cycle of institutional learning by transmitting the evaluation results generated by the other units. The decision quality assessment processor is linked to the knowledge generation and collaborative culture assessment units, ensuring that subsequent institutional knowledge generation and strategic decision-making processes are influenced by the results of previously made decisions. The networking of processors, memory circuits, communication interfaces, input / output controllers, and persistent storage media via electrical communication paths ensures that the system functions as a concrete, hardware-based technological infrastructure for institutional learning and decision support.

[0084] The drawing and the preceding description illustrate embodiments. Those skilled in the art will recognize that one or more of the described elements can be combined to form a single functional element. Alternatively, certain elements can be divided into several functional elements. Elements of one embodiment can be added to another. For example, the process flows described here can be modified and are not limited to the manner described herein. Furthermore, the actions of a flowchart need not be performed in the sequence shown; nor do all actions necessarily need to be carried out. Actions that do not depend on other actions can be performed in parallel with the other actions. The scope of protection of the embodiments is in no way limited by these specific examples. Numerous variations, whether explicitly stated in the description or not, such as...Differences in structure, dimensions, and materials are possible. The scope of protection of the embodiments is at least as comprehensive as described by the following claims.

[0085] The advantages, other benefits, and problem solutions have been described above with reference to specific embodiments. However, the advantages, benefits, problem solutions, and any components that can effect or enhance an advantage, benefit, or solution are not to be construed as critical, necessary, or essential features or components of the claims. REFERENCES 100 A computer-based digital knowledge management system for institutional learning and decision support. 102 User Interaction Interface 104 Input processing unit 106 Unit on the Evaluation of Collaborative Culture 108 Knowledge generation unit 110 Knowledge exchange unit 112 Knowledge Application Unit 114 Institutional Learning Repository 116 Processor for Evaluating Decision Quality 118 Coordination processor

Claims

A computer-implemented digital knowledge management system for institutional learning and decision support, comprising: a user interaction interface configured to receive structured institutional information from a variety of users connected to a university. This structured institutional information includes strategic questions, institutional goals, performance indicators, academic activity data, and decision-relevant inputs; and an input processing unit operationally connected to the user interaction interface and configured to capture, classify, and transform the received structured institutional information into machine-readable datasets.A collaborative culture assessment unit, comprising at least one processor and a memory in which executable instructions are stored, wherein the collaborative culture assessment unit is configured to collect and process organizational behavior data representing loyalty, engagement, cohesion, well-being, and sense of community among members of the institutional leadership; a knowledge generation unit operationally linked to the collaborative culture assessment unit, wherein the knowledge generation unit is configured to analyze received knowledge records and generate new institutional knowledge by exploring alternative ideas, identifying new insights, and combining individual and collective institutional contributions;a knowledge exchange unit that is communicatively linked to the knowledge generation unit, wherein the knowledge exchange unit is configured to distribute the generated institutional knowledge to authorized users via controlled communication channels and structured knowledge dissemination procedures; a knowledge application unit designed to transform distributed institutional knowledge into decision aids, including proposed strategic actions, operational recommendations, and measurable performance targets; an institutional learning repository consisting of a permanent digital storage system configured to store knowledge records, decision outcomes, institutional experiences, and lessons learned from implemented decisions;a decision quality assessment processor that is operationally linked to the institutional learning repository and the knowledge application unit and is configured to evaluate generated decisions against predefined institutional criteria, including problem-solving effectiveness, strategic value contribution, achievement of institutional goals, and contribution to organizational learning; and a coordination processor configured to coordinate the operational interaction between the collaborative culture assessment unit, the knowledge generation unit, the knowledge sharing unit, the knowledge application unit, the institutional learning repository, and the decision quality assessment processor, such that the collaborative organizational conditions influence knowledge generation, knowledge sharing, knowledge utilization, and the subsequent evaluation of strategic decisions. System according to claim 1, wherein the collaborative culture assessment unit further comprises a data acquisition circuit configured to regularly capture behavioral indicators of members of the leadership team by means of digital questionnaires, interaction records, communication metrics and protocols of collaborative activities, and wherein the processor is configured to calculate composite indicators of collaborative culture representing interpersonal trust, institutional commitment and collective cohesion. System according to claim 1, wherein the knowledge generation unit further comprises a knowledge synthesis processor configured to identify relationships between heterogeneous knowledge datasets, including academic performance data, research results, institutional policy documents and external environmental indicators, and thereby generate new institutional knowledge representations through systematic comparison, aggregation and interpretation of the heterogeneous datasets. System according to claim 1, wherein the knowledge exchange unit further comprises a controlled access management circuit configured to regulate the dissemination of institutional knowledge to predetermined user groups, including university administrators, academic staff, researchers and decision-makers, according to defined authorization levels and institutional governance guidelines. System according to claim 1, wherein the knowledge application unit comprises a decision formulation processor configured to transform distributed institutional knowledge into structured decision proposals by generating alternative strategic scenarios, linking each scenario with predicted institutional outcomes, and presenting the generated scenarios via the user interaction interface for evaluation by authorized decision-makers. System according to claim 1, wherein the institutional learning repository further stores historical decision data sets, including contextual information describing the institutional conditions existing at the time of decision-making, the execution parameters applied during implementation, and the performance results observed after implementation of the decisions. System according to claim 1, wherein the processor for evaluating decision quality further comprises an analysis processor configured to compare the decision results stored in the institutional learning repository with predefined institutional goals and performance indicators in order to generate quantitative and qualitative assessments of decision effectiveness. The system according to claim 1 further comprises a diversity analysis unit configured to receive demographic and professional data about members of the leadership team, including gender characteristics, academic specialization, functional roles, and leadership styles. The diversity analysis unit is configured to identify relationships between the diversity characteristics of the leadership level and the institutional learning patterns stored in the institutional learning repository. System according to claim 8, wherein the diversity analysis unit further comprises a correlation analysis circuit configured to determine whether variations in the parameters of leadership diversity affect the volume of knowledge generation, the frequency of knowledge dissemination, and the effectiveness of knowledge-based decisions. System according to claim 1, wherein the coordination processor is further configured to establish an iterative institutional learning cycle by automatically transmitting results generated by the decision quality assessment processor to the knowledge generation unit and the collaborative culture assessment unit, so that subsequent institutional decisions are generated using knowledge derived from previously made decisions.

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