Repositioning Libraries as Geospatial Knowledge Hubs: A Theoretical Exploration of the Contribution of Geographic Information Systems to Knowledge Management

1. Introduction

The digital transformation of contemporary society has fundamentally reshaped the creation, organization, dissemination and utilization of information across education, research, government, industry and public administration. Within this rapidly evolving knowledge ecosystem, libraries have undergone a profound transformation from traditional repositories of printed materials into digitally enabled knowledge infrastructures that facilitate research, learning, innovation and evidence-based decision-making. Advances in cloud computing, big data analytics, artificial intelligence, institutional repositories, research data management and digital preservation have significantly expanded the strategic functions of libraries beyond information storage to encompass knowledge creation, curation, sharing, preservation and collaborative scholarship [8,11,24,26]. Consequently, contemporary libraries are increasingly recognized as knowledge-intensive organizations that contribute to open science, digital scholarship, interdisciplinary collaboration and organizational innovation.

The increasing complexity of digital information environments has simultaneously elevated the importance of knowledge management (KM) as a strategic organizational capability. Knowledge management refers to the systematic processes through which organizations create, acquire, organize, share, apply and preserve knowledge to improve organizational learning, innovation and decision-making [13,45]. Within library and information science, KM provides mechanisms for integrating explicit and tacit knowledge, improving service delivery, supporting institutional memory, facilitating collaboration and enhancing organizational effectiveness [30,40]. Modern libraries are therefore expected not only to organize information resources but also to manage organizational knowledge in ways that generate value for researchers, students, policymakers and society. Nevertheless, despite extensive scholarship on digital transformation and knowledge management in libraries, relatively little attention has been devoted to understanding how geospatial information technologies can strengthen knowledge management processes and create new forms of knowledge services.

Recent advances in geoinformation management and Geographic Information Systems (GIS) present significant opportunities for addressing this gap. Contemporary GIS has evolved beyond its traditional role as a mapping technology into a comprehensive geoinformation management platform capable of acquiring, integrating, storing, analysing, visualizing and communicating geographically referenced information [5,27,32]. By integrating spatial and non-spatial data, GIS supports location intelligence, spatial analytics, geovisualization and evidence-based decision-making across diverse domains, including environmental management, urban planning, disaster risk management, agriculture, transportation, healthcare and digital governance [6,19]. Increasingly, spatial information is recognized as a strategic organizational asset whose effective management enhances knowledge discovery, contextual understanding, collaborative analysis and informed decision-making.

Despite these developments, the integration of geoinformation management within library knowledge management systems remains conceptually fragmented and empirically underexplored [43]. Existing studies on digital libraries have primarily focused on institutional repositories, metadata standards, information retrieval systems, digital preservation and electronic resource management, whereas research in geographic information science has largely emphasized spatial databases, geospatial analytics, remote sensing and geographic decision-support systems. Consequently, limited theoretical attention has been given to explaining how GIS capabilities including spatial data integration, location intelligence, geovisualization and spatial knowledge representation can systematically enhance knowledge creation, storage, sharing, application and organizational learning within library environments. This disconnects between library science and geoinformation management represents an important theoretical gap and limits understanding of how spatial technologies can contribute to knowledge-intensive organizations.

Furthermore, previous conceptual discussions have generally portrayed GIS as a technological application rather than as an organizational capability embedded within broader knowledge management processes. Such perspectives overlook the socio-technical interactions among organizational resources, digital infrastructure, human expertise, governance mechanisms and geospatial technologies that collectively determine successful knowledge management. Drawing upon the knowledge-based view of the organization and socio-technical systems thinking, this study argues that GIS should be conceptualized as a strategic geoinformation management capability that enhances knowledge processes through spatial data integration, visualization, contextualization, collaborative knowledge creation and evidence-based decision-making. This perspective provides a more comprehensive theoretical explanation of how spatial technologies generate organizational value within modern libraries.

Accordingly, this study develops a theoretically grounded conceptual framework that explains the mechanisms through which GIS-enabled geoinformation management enhances knowledge management processes and facilitates the transformation of libraries into geospatial knowledge hubs. Unlike previous studies that primarily describe GIS applications in libraries, the proposed framework conceptualizes GIS as a strategic organizational capability whose effectiveness depends on organizational readiness, digital infrastructure, geospatial competencies, governance mechanisms and knowledge management practices. The framework further identifies the mediating role of knowledge management processes and the enabling roles of organizational capabilities in transforming libraries into geospatial knowledge hubs capable of supporting spatial knowledge integration, innovation, evidence-based decision-making and community engagement. By integrating perspectives from geoinformation science, knowledge management, digital transformation and library and information science, this study contributes to theoretical development within both Library and Information Science and Geoinformation Management while providing a foundation for future empirical validation.

To achieve these objectives, the study addresses the following research questions:

• How can Geographic Information Systems enhance knowledge management processes within contemporary library environments?
• What theoretically grounded conceptual framework explains the transformation of libraries into geospatial knowledge hubs through geoinformation management?
• What organizational, technological and knowledge management components are required for the successful integration of GIS into library-based knowledge systems?

By addressing these research questions, this study provides a comprehensive theoretical foundation for understanding the convergence of geoinformation management, Geographic Information Systems and knowledge management within library environments. Furthermore, it identifies critical constructs and relationships that may guide future empirical research, inform strategic implementation and support the development of libraries as spatially enabled knowledge organizations in the digital era.

2. Literature Review

2.1. Libraries in the Knowledge Economy

The transition from an industrial economy to a knowledge-driven economy has fundamentally redefined the mission and strategic relevance of libraries. Within the knowledge economy, knowledge rather than physical assets constitutes the primary driver of innovation, organizational competitiveness and socio-economic development [17,36]. Consequently, libraries are no longer perceived merely as custodians of documentary heritage but as dynamic knowledge infrastructures that facilitate the creation, organization, dissemination and utilization of information to support education, research, innovation and evidence-based decision-making [7,10,33]. This transformation has positioned libraries as integral components of national and institutional knowledge ecosystems, where they contribute not only to information access but also to digital scholarship, research data management and collaborative knowledge production.

The evolution of libraries has been closely associated with rapid advances in information and communication technologies (ICTs). Early digital transformation initiatives focused primarily on the digitization of collections, electronic catalogues, institutional repositories and online information services that extended access beyond physical library environments [2,35]. Although these developments significantly improved information accessibility and resource sharing, they largely emphasized information storage and retrieval rather than strategic knowledge creation and organizational learning. Recent scholarship argues that the contemporary role of libraries extends well beyond digital access, requiring them to function as intelligent knowledge environments capable of supporting interdisciplinary research, open science, digital preservation and data-intensive scholarship [10,34].

This evolution has led to the emergence of smart libraries, which integrate artificial intelligence, big data analytics, cloud computing, the Internet of Things (IoT) and advanced digital platforms to deliver adaptive, user-centred and context-aware services [1,31]. Smart libraries utilize intelligent technologies to enhance resource discovery, automate routine operations, personalize information services and improve user engagement. Nevertheless, existing literature predominantly conceptualizes smart libraries from technological and service delivery perspectives, placing comparatively less emphasis on how these technologies facilitate organizational knowledge creation, knowledge integration and institutional learning. Consequently, the transformation of libraries has often been evaluated in terms of technological innovation rather than their capacity to function as strategic knowledge organizations.

Within the knowledge economy, the performance of libraries is increasingly assessed by their ability to generate, integrate and apply knowledge rather than simply provide access to information resources [39,41]. This shift requires libraries to adopt integrated knowledge management approaches capable of supporting collaboration, organizational learning, innovation and evidence-informed decision-making. However, despite significant advances in digital transformation, the literature reveals an important conceptual limitation. Existing studies have largely concentrated on digital repositories, electronic resource management, metadata standards and digital service delivery, while giving comparatively limited attention to the strategic role of geoinformation management and spatially enabled knowledge infrastructures in enhancing knowledge management processes.

This limitation is particularly significant given the increasing importance of geospatial information across research, education, public administration, environmental management and digital governance. Geospatial data have become essential organizational assets that support spatial intelligence, evidence-based planning and interdisciplinary research. Despite these developments, geospatial capabilities remain insufficiently integrated into prevailing conceptualizations of library transformation. Most studies continue to examine Geographic Information Systems (GIS) as specialized research services or technical support tools rather than as strategic geoinformation management capabilities that can enhance organizational knowledge creation, sharing, visualization and application. This disconnect represents a critical theoretical gap in both Library and Information Science and geoinformation management literature.

Accordingly, there is a need to reconceptualize libraries not merely as digital information providers but as geospatial knowledge organizations capable of integrating geoinformation management with knowledge management processes. Such a perspective extends existing digital library and smart library models by positioning GIS as an organizational capability that supports spatial knowledge integration, location intelligence, collaborative decision-making and innovation. This conceptual shift provides the theoretical foundation for the present study and establishes the basis for developing a framework that explains how GIS-enabled geoinformation management can contribute to transforming libraries into geospatial knowledge hubs.

2.2. Knowledge Management (KM)

Knowledge Management (KM) has evolved into one of the most influential theoretical and practical paradigms for managing organizational knowledge in the knowledge economy. Rather than focusing solely on information storage, KM emphasizes the systematic creation, acquisition, organization, sharing, application and continuous refinement of knowledge to improve organizational learning, innovation and strategic decision-making [16,45]. In knowledge-intensive organizations such as libraries, KM provides a framework for transforming dispersed information resources into actionable knowledge that supports research, teaching, institutional memory and evidence-based services [30,40]. Consequently, contemporary libraries are increasingly viewed as knowledge organizations whose effectiveness depends not only on the availability of information resources but also on their ability to facilitate knowledge exchange and organizational learning.

The theoretical foundations of KM are largely informed by the Knowledge-Based View (KBV) of the firm and [45] knowledge creation theory. The KBV argues that knowledge constitutes the most valuable strategic resource for achieving sustainable organizational performance, while the SECI (Socialization, Externalization, Combination and Internalization) model explains how tacit and explicit knowledge interact to generate organizational innovation [21,45]. These theoretical perspectives have significantly influenced library and information science by emphasizing that libraries should not merely preserve knowledge but actively create environments that facilitate knowledge creation, collaboration and continuous learning.

Within the library context, KM is commonly conceptualized as comprising interconnected processes of knowledge creation, knowledge organization and storage, knowledge sharing and knowledge application [14]. Knowledge creation occurs through collaborative research, user engagement, digital scholarship and data curation initiatives that generate new intellectual outputs. Knowledge organization and storage involve the systematic management of explicit knowledge through institutional repositories, digital archives, metadata standards and knowledge bases to ensure long-term accessibility and preservation. Knowledge sharing encompasses the dissemination of knowledge through digital platforms, collaborative technologies, scholarly communication and professional networks, thereby promoting interdisciplinary collaboration and organizational learning. Finally, knowledge application refers to the effective utilization of knowledge to support policy formulation, decision-making, problem-solving, service innovation and research productivity [14,39,41].

Although these knowledge management processes are widely recognized, the literature reveals considerable variation in how they are implemented within libraries. Many studies emphasize digital repositories, institutional knowledge sharing and information retrieval systems, whereas comparatively fewer investigate how emerging technologies can enrich knowledge creation and application through advanced analytical capabilities [10,38]. As a result, existing KM frameworks within Library and Information Science remain predominantly information-centric, with limited consideration of spatially referenced knowledge and geospatial intelligence as organizational knowledge assets.

This limitation is particularly important because contemporary decision-making increasingly depends on geographically referenced information. Advances in geospatial technologies have transformed the ways organizations acquire, integrate, analyse, visualize and communicate knowledge by incorporating spatial dimensions into organizational information systems. Nevertheless, current KM literature rarely considers how Geographic Information Systems (GIS) and broader geoinformation management capabilities can strengthen knowledge creation, visualization, sharing and application within libraries. Consequently, while KM provides a robust theoretical foundation for understanding organizational knowledge processes, its integration with geoinformation management remains insufficiently developed.

The present study addresses this theoretical gap by conceptualizing GIS not simply as a technological application but as a geoinformation management capability that enriches core knowledge management processes through spatial data integration, geovisualization, location intelligence and evidence-based decision support. By extending traditional KM theory to incorporate spatial knowledge, this study contributes to a more comprehensive understanding of how libraries can evolve into geospatial knowledge hubs capable of supporting digital scholarship, organizational learning and data-driven innovation.

2.3. Geographic Information Systems (GIS) and Geoinformation Management

Geographic Information Systems (GIS) have evolved from specialized mapping technologies into comprehensive geoinformation management platforms that support the acquisition, integration, analysis, visualization and dissemination of spatially referenced information. Contemporary GIS combines hardware, software, geospatial databases, analytical models and visualization tools to transform geographically referenced data into actionable knowledge for planning, management and decision-making [27,32]. Unlike conventional information systems, which primarily organize and retrieve textual or numerical information, GIS explicitly incorporates spatial relationships and geographic context, enabling organizations to understand where phenomena occur, how they are interconnected across space and how spatial patterns influence organizational outcomes.

The rapid growth of geospatial data generated through satellite remote sensing, Global Navigation Satellite Systems (GNSS), mobile technologies, sensors and volunteered geographic information has significantly expanded the scope of geoinformation management [27,38]. Consequently, organizations increasingly recognize geospatial information as a strategic organizational asset that supports evidence-based planning, policy formulation, resource allocation, environmental monitoring and risk management. This evolution has shifted GIS from a stand-alone analytical application toward an integrated geoinformation management capability that facilitates the governance, interoperability, quality assurance and effective utilization of spatial data across organizational processes [28].

A defining characteristic of GIS is its capacity to integrate spatial and non-spatial data within a unified analytical environment. Through spatial analysis, GIS identifies geographic relationships, patterns and trends that cannot be detected using conventional information systems alone. Techniques such as spatial overlay, network analysis, proximity analysis, hotspot detection and geostatistical modelling provide organizations with deeper insights into complex phenomena that possess spatial dimensions, including urban development, environmental sustainability, public health, disaster management and infrastructure planning [27,38]. Furthermore, advanced geovisualization techniques including interactive maps, three-dimensional models, dashboards and spatial decision-support systems enhance the communication and interpretation of complex information for diverse stakeholders.

Beyond analytical capabilities, GIS contributes significantly to organizational knowledge creation by transforming spatial data into meaningful geospatial intelligence. Within the broader framework of knowledge management, GIS enhances knowledge discovery through spatial pattern recognition, supports collaborative knowledge sharing through web-based geospatial platforms, facilitates knowledge integration by linking heterogeneous datasets and strengthens evidence-based decision-making through location intelligence [19]. These capabilities extend the traditional functions of information systems by embedding geographical context into organizational knowledge processes, thereby enriching both explicit and tacit knowledge resources.

Despite these advances, existing scholarship has largely examined GIS from technical, engineering, environmental, or urban planning perspectives, with comparatively limited attention devoted to its strategic role within Library and Information Science. In many library studies, GIS is primarily portrayed as a specialized research support service that provides access to spatial datasets or software rather than as an organizational capability that can transform knowledge management processes [3]. Consequently, the potential contribution of geoinformation management to knowledge creation, knowledge sharing, organizational learning and digital scholarship within libraries remains insufficiently theorized.

This conceptual limitation is particularly relevant to the present study. Although technologies such as artificial intelligence, big data analytics and business intelligence dashboards contribute to organizational decision-making, they do not inherently incorporate spatial reasoning or geographical relationships. GIS therefore represents a distinctive geoinformation management capability that complements, rather than replaces, these technologies by integrating location intelligence into organizational knowledge ecosystems. Recognizing this distinction provides a stronger theoretical justification for examining GIS as a strategic enabler of knowledge management and library transformation rather than merely as another digital technology. Accordingly, this study conceptualizes GIS as a foundational component of geoinformation management capable of supporting the evolution of libraries into geospatial knowledge hubs.

2.4. GIS in Libraries: Current Applications, Critical Synthesis and Research Gap

The application of Geographic Information Systems (GIS) within library environments has expanded steadily over the past two decades, reflecting the growing importance of geospatial information in research, teaching and digital scholarship. Academic and research libraries have increasingly established GIS laboratories, geospatial data repositories, map collections, spatial data services and training programmes to support researchers across disciplines such as geography, environmental science, archaeology, public health, urban planning and the digital humanities [3,45]. These developments demonstrate that libraries are becoming important facilitators of access to geospatial resources and spatial data literacy within contemporary research ecosystems.

Beyond providing access to geospatial datasets, many libraries now support GIS-enabled digital scholarship through spatial data management, geovisualization, historical GIS projects and research data services. In digital humanities, for example, GIS has been employed to analyse historical landscapes, cultural heritage, migration patterns and archival collections by integrating spatial, temporal and textual information into interactive research environments [46]. Similarly, research libraries increasingly assist scholars with spatial data management planning, metadata creation, geospatial data preservation and compliance with open science and FAIR data principles. These developments illustrate that GIS has evolved from a specialized mapping application into an important component of research infrastructure and digital scholarship.

Despite these advances, the existing literature remains fragmented and predominantly operational in orientation. Most studies concentrate on describing GIS services, software implementation, user training, or technical infrastructure, while relatively few investigate the strategic organizational implications of GIS for library management and knowledge processes [45]. Consequently, libraries are frequently portrayed as service providers that facilitate access to geospatial information rather than as organizations capable of generating, integrating and applying spatial knowledge to enhance institutional learning, innovation and decision-making.

A further limitation concerns the theoretical treatment of GIS within Library and Information Science. Existing research generally conceptualizes GIS as an independent technological application rather than as a geoinformation management capability embedded within broader organizational knowledge systems. As a result, insufficient attention has been devoted to understanding how GIS can support the core processes of knowledge management including knowledge creation, knowledge organization, knowledge sharing, knowledge visualization and knowledge application. Likewise, limited research has examined how geospatial intelligence, spatial data governance and location-based decision support can strengthen organizational knowledge ecosystems within libraries.

This fragmentation has contributed to an important conceptual gap at the intersection of geoinformation management and Library and Information Science. While knowledge management studies emphasize organizational learning and knowledge processes, they rarely incorporate spatial information as a strategic organizational resource. Conversely, geoinformation studies have largely focused on technical advances in GIS, spatial databases and geospatial analytics, with comparatively little attention given to their application within library-based knowledge management frameworks. Consequently, the theoretical integration of geoinformation management and knowledge management remains underdeveloped, limiting understanding of how libraries can leverage spatial intelligence to improve knowledge creation, collaboration, research support and evidence-based services.

The present study addresses this gap by proposing a conceptual framework that positions GIS as a strategic geoinformation management capability rather than merely a technical service. Unlike previous studies that primarily describe GIS implementation in libraries, the proposed framework explains the mechanisms through which GIS capabilities interact with knowledge management processes to facilitate organizational learning, spatial knowledge integration, digital scholarship and data-driven decision-making. By integrating perspectives from geoinformation science, knowledge management and Library and Information Science, this study extends existing theory and provides a stronger conceptual foundation for understanding the transformation of libraries into geospatial knowledge hubs. In doing so, it responds directly to the need for theoretically grounded models that move beyond technology adoption towards explaining the organizational value of geospatial information in contemporary libraries.

2.5. Research Gap Statement

The preceding review demonstrates that substantial progress has been made in three closely related areas of scholarship: digital transformation in libraries, knowledge management (KM) and Geographic Information Systems (GIS). Research on digital transformation has highlighted the evolution of libraries into digitally enabled environments that support research data management, digital scholarship and user-centred information services [10]. Similarly, studies on KM have established the importance of knowledge creation, organization, sharing and application in enhancing organizational learning and service innovation within libraries [18,45]. In parallel, geoinformation science has advanced the development of GIS as a strategic platform for spatial data integration, geovisualization, location intelligence and evidence-based decision-making [27,38].

Despite these advances, the existing body of literature remains fragmented. Most studies examine digital transformation, knowledge management and GIS as independent areas of inquiry, with limited theoretical integration across these domains. Within Library and Information Science, GIS is predominantly presented as a technical service supporting spatial data access, digital humanities, or research consultation rather than as an organizational capability that enhances knowledge management processes. Conversely, knowledge management frameworks rarely incorporate geospatial intelligence, spatial data governance, or location-based knowledge as strategic organizational resources. Consequently, the potential contribution of geoinformation management to knowledge creation, knowledge sharing, organizational learning and evidence-based decision-making within libraries remains insufficiently conceptualized.

A further limitation is that existing conceptual models primarily emphasize technology adoption and service delivery, with comparatively little attention devoted to explaining the organizational mechanisms through which GIS capabilities create value within library knowledge ecosystems. As a result, there is currently no comprehensive theoretical framework that integrates geoinformation management, knowledge management and library transformation into a unified conceptual model. This limitation restricts both theoretical understanding and practical guidance for libraries seeking to leverage geospatial information as a strategic organizational asset.

The present study addresses this gap by developing a theoretically grounded conceptual framework that positions GIS as a geoinformation management capability embedded within library knowledge management systems. Unlike previous studies that examine GIS primarily from technical or operational perspectives, this framework explains how GIS capabilities including spatial data integration, geovisualization, location intelligence and spatial decision support interact with knowledge management processes to facilitate organizational learning, digital scholarship and evidence-based decision-making. By integrating perspectives from geoinformation science, knowledge management and Library and Information Science, the study extends existing theory and provides a stronger conceptual foundation for understanding how libraries can evolve into geospatial knowledge hubs. This theoretical contribution directly addresses the research questions and establishes a foundation for future empirical validation of the proposed framework.

3. Methodology

3.1. Research Design

This study adopts a conceptual research design supported by a structured literature review and qualitative thematic synthesis to examine how Geographic Information Systems (GIS) can enhance knowledge management (KM) processes in libraries and facilitate their transformation into geospatial knowledge hubs. Conceptual research is appropriate for studies that seek to develop new theoretical perspectives, clarify relationships among constructs and advance knowledge in emerging interdisciplinary fields where empirical evidence remains fragmented [25]. Unlike empirical studies that rely on primary data collection, conceptual research systematically integrates existing knowledge to generate new theoretical insights and explanatory frameworks.

The choice of this research design is justified by the fragmented nature of existing scholarship at the intersection of geoinformation management, knowledge management and Library and Information Science. Previous studies have examined these domains largely in isolation, creating a need for a theoretically grounded framework that synthesizes current knowledge and explains the mechanisms through which GIS capabilities can strengthen knowledge management processes within libraries. Accordingly, this study integrates perspectives from geoinformation science, knowledge management, digital transformation and library and information science to develop a unified conceptual model capable of guiding future empirical investigations.

3.2. Literature Search Strategy and Data Sources

To ensure methodological transparency and comprehensiveness, the study employed a structured literature search using multiple scholarly databases, including Scopus, Web of Science, Google Scholar, ScienceDirect and Library and Information Science Source. These databases were selected because they index high-quality peer-reviewed publications in geoinformation science, information systems, knowledge management and Library and Information Science.

The literature search focused on publications addressing the intersection of libraries, knowledge management, digital transformation, Geographic Information Systems, geospatial information and geoinformation management. Search terms included combinations of keywords such as “Geographic Information Systems,” “GIS,” “geoinformation management,” “knowledge management,” “academic libraries,” “digital libraries,” “smart libraries,” “digital transformation,” “spatial data infrastructures,” “geospatial knowledge,” and “library innovation.” Boolean operators (AND, OR) were used to refine search results and improve retrieval accuracy.

The review primarily considered publications published between 2015 and 2025 to capture recent developments in digital transformation and geospatial information management, while seminal theoretical works were included where necessary to establish conceptual foundations. Only peer-reviewed journal articles, scholarly books, conference proceedings and authoritative reports published in English were considered. Publications lacking sufficient scholarly rigor, duplicate records, or limited relevance to the study objectives were excluded.

3.3. Data Selection and Quality Assessment

Following the literature search, retrieved publications were screened based on their relevance to the study objectives. Titles and abstracts were initially examined to determine their suitability, after which full-text articles were reviewed to assess their theoretical contribution. Priority was given to studies that addressed one or more of the following themes:

• Knowledge management in libraries;
• Digital transformation of libraries;
• Geographic Information Systems and geoinformation management;
• Spatial data infrastructures and geospatial services;
• Digital scholarship and research data management; and
• Organizational applications of GIS and spatial intelligence.

The selected literature was further evaluated according to publication quality, theoretical relevance, methodological rigor and contribution to understanding the relationship between GIS and knowledge management. This screening process ensured that the conceptual framework was developed from reliable and authoritative scholarly evidence.

3.4. Data Analysis and Thematic Synthesis

The study employed thematic analysis to synthesize evidence extracted from the selected literature. Thematic analysis provides a systematic approach for identifying, analysing and interpreting recurring concepts and patterns within qualitative data [4]. This approach is widely applied in conceptual and review studies because it facilitates the integration of evidence from diverse disciplinary perspectives.

The analysis was conducted in four stages. First, the selected literature was reviewed in detail to identify recurring concepts related to library transformation, knowledge management, geoinformation management, spatial intelligence and GIS capabilities. Second, these concepts were coded and grouped into broader analytical themes representing the principal constructs of the study. Third, relationships among these themes were critically compared and synthesized to identify areas of consensus, disagreement and unresolved theoretical issues within the existing literature. Finally, the synthesized themes were integrated into a coherent explanatory structure that informed the development of the proposed conceptual framework.

Unlike descriptive literature reviews, the thematic synthesis emphasized critical comparison and theoretical integration rather than simple summarization. This analytical process enabled the identification of conceptual gaps and clarified the mechanisms through which GIS capabilities may influence knowledge creation, knowledge sharing, knowledge application, organizational learning and evidence-based decision-making within library environments.

3.5. Conceptual Framework Development

The conceptual framework was developed through an iterative process of abstraction and theoretical integration. Drawing upon the synthesized literature, the study identified the principal constructs, enabling organizational factors and theoretical relationships linking geoinformation management with knowledge management processes. Rather than depicting GIS as an isolated technological application, the framework conceptualizes GIS as a strategic geoinformation management capability that enhances organizational knowledge creation, spatial knowledge integration, geovisualization, collaborative learning and data-driven decision-making.

The framework incorporates propositions that describe the expected relationships among the identified constructs. These propositions are theoretically derived from the reviewed literature and are intended to provide a foundation for future empirical testing rather than statistical verification within the present study. This approach is consistent with conceptual research, where theory building precedes empirical validation [15].

3.6. Methodological Rigor and Study Limitations

To enhance methodological rigor, the study adopted a transparent literature selection process, utilized multiple scholarly databases, incorporated interdisciplinary sources and employed systematic thematic synthesis to develop the conceptual framework. The integration of evidence from geoinformation science, knowledge management and Library and Information Science improves the credibility and theoretical robustness of the proposed model.

Nevertheless, the study remains conceptual in nature and does not include empirical testing of the proposed framework. Consequently, the relationships and propositions presented should be regarded as theoretically informed explanations that require validation through future qualitative, quantitative, or mixed-methods research conducted in different library contexts.

4. Conceptual Framework

4.1. Conceptual Constructs

The proposed conceptual framework is developed from an interdisciplinary synthesis of literature in Library and Information Science (LIS), Knowledge Management (KM), Digital Transformation and Geoinformation Science. Unlike previous studies that treat Geographic Information Systems (GIS) primarily as technical tools for mapping or spatial data management, this study conceptualizes GIS as a strategic organizational capability that enhances knowledge management processes and facilitates the digital transformation of libraries into geospatial knowledge hubs. The framework extends existing scholarship by incorporating organizational enablers, knowledge management capabilities and institutional transformation into a unified explanatory model. Accordingly, the framework comprises five interrelated constructs: GIS capabilities, knowledge management capabilities, organizational enablers, library digital transformation and geospatial knowledge hubs.

4.1.1. Geographic Information Systems (GIS) Capabilities

Geographic Information Systems (GIS) are integrated socio-technical systems comprising hardware, software, databases, analytical methods and skilled personnel that capture, manage, analyse and visualize geographically referenced information [27]. Although GIS has traditionally been associated with cartography, environmental monitoring and urban planning, contemporary geoinformation science recognizes GIS as a strategic platform for generating location intelligence and supporting evidence-based decision-making across multiple organizational contexts.

Within libraries, GIS capabilities extend beyond the provision of geospatial datasets. They include spatial data integration, geovisualization, spatial analytics, location intelligence and spatial decision support, enabling libraries to organise, interpret and communicate both spatial and non-spatial knowledge more effectively. These capabilities enrich research data management, digital scholarship, digital humanities and community information services by providing new approaches to analysing complex information. Consequently, GIS is conceptualized in this study as the principal technological capability that stimulates innovation in knowledge management rather than merely functioning as a technical mapping application [20,27].

4.1.2. Knowledge Management Capabilities

Knowledge Management (KM) refers to the systematic processes through which organizations create, organize, store, share and apply knowledge to improve organizational effectiveness and innovation [14]. In libraries, KM extends beyond information storage to encompass organizational learning, collaborative knowledge creation, digital curation, research support and knowledge dissemination. Effective KM enables libraries to transform dispersed information resources into actionable organizational knowledge that supports learning, research and evidence-based decision-making.

This study conceptualizes KM as comprising four interrelated capabilities: knowledge creation, knowledge organization and storage, knowledge sharing and knowledge application. These capabilities represent the mechanisms through which GIS-generated spatial intelligence is transformed into meaningful organizational knowledge. Rather than operating independently, GIS capabilities are expected to strengthen each stage of the KM cycle by enabling richer data integration, improved visualization, enhanced collaboration and context-sensitive decision support. Consequently, knowledge management functions as the primary mediating mechanism through which GIS contributes to organizational transformation [18,45].

4.1.3. Organizational Enablers

The successful integration of GIS into library knowledge management systems depends not only on technological capabilities but also on organizational conditions that facilitate technology adoption and innovation. Previous studies on digital transformation consistently demonstrate that technological investments alone rarely produce organizational change without complementary institutional capabilities [42].

Accordingly, this framework introduces organizational enablers as moderating constructs that influence the effectiveness of GIS-enabled knowledge management. These include ICT infrastructure, staff GIS competency, leadership support, organizational readiness, data governance and institutional policy. ICT infrastructure provides the technological foundation required for geospatial data processing and storage, while staff competency determines the organization’s ability to utilize GIS tools effectively. Leadership commitment encourages strategic investment and organizational change, whereas governance mechanisms ensure data quality, interoperability, security and ethical management of geospatial information. Together, these factors determine the extent to which GIS capabilities can be successfully integrated into knowledge management processes.

The inclusion of organizational enablers represents an important theoretical contribution because it explains why comparable GIS technologies may produce different outcomes across libraries, thereby addressing an important limitation of earlier conceptual models.

4.1.4. Library Digital Transformation

Digital transformation refers to the organizational process through which digital technologies fundamentally reshape institutional structures, service delivery, organizational culture and value creation [42]. Within libraries, digital transformation extends beyond the digitization of collections to include digital scholarship, research data management, artificial intelligence, cloud-based services, open science, institutional repositories and user-centred digital services.

In this study, library digital transformation represents the organizational outcome of strengthened knowledge management capabilities. As GIS capabilities become embedded within knowledge management processes, libraries expand their roles from information repositories to knowledge-intensive organizations capable of managing complex spatial and research data. This transformation is reflected in the development of spatial data services, digital scholarship support, geospatial data repositories, research collaboration platforms and evidence-based decision-support services. Consequently, digital transformation serves as an intermediate organizational outcome linking knowledge management capabilities with the emergence of geospatial knowledge hubs.

4.1.5. Geospatial Knowledge Hubs

The ultimate outcome of the proposed framework is the emergence of geospatial knowledge hubs. Unlike traditional libraries that primarily acquire, organize and disseminate information resources, geospatial knowledge hubs integrate geoinformation management with organizational knowledge management to generate, analyse and disseminate spatially enabled knowledge that supports research, policy formulation, innovation and sustainable development.

Geospatial knowledge hubs are characterized by several strategic capabilities, including:

• Spatial intelligence and evidence-based decision support, enabling researchers, policymakers and communities to interpret complex spatial information.
• Research collaboration and interdisciplinary knowledge creation through integrated geospatial data infrastructures.
• Community engagement, including participatory mapping, citizen science and local knowledge integration.
• Innovation and digital scholarship, supporting advanced geospatial analytics, visualization and research data services.
• Knowledge-driven service delivery, where spatial and non-spatial information are integrated to produce value-added information products and decision-support systems.

By conceptualizing libraries as geospatial knowledge hubs, this study extends existing theories of library transformation beyond conventional digital library models. The proposed framework positions libraries as strategic knowledge organizations that leverage GIS capabilities to strengthen organizational learning, knowledge creation, spatial intelligence and evidence-based decision-making. This perspective provides a more comprehensive theoretical explanation of the role of geoinformation management in library innovation and addresses the conceptual limitations identified in previous studies.

4.2. Framework Logic

The proposed conceptual framework explains the mechanisms through which Geographic Information Systems (GIS) capabilities contribute to the transformation of libraries into geospatial knowledge hubs. Unlike previous conceptualizations that portray GIS merely as a technological tool for spatial data management, the present framework positions GIS as a strategic geoinformation management capability that interacts with organizational resources and knowledge management processes to generate institutional innovation. The framework is grounded in the Knowledge-Based View (KBV), the SECI model of knowledge creation and Digital Transformation Theory, which collectively suggest that technological capabilities create organizational value only when they are effectively integrated with knowledge processes and supported by appropriate organizational conditions [22,42,44].

Accordingly, the framework proposes that the relationship between GIS and library transformation is neither direct nor linear. Instead, it involves a network of interrelated constructs comprising GIS capabilities (independent variable), knowledge management capabilities (mediating construct), organizational enablers (moderating constructs), library digital transformation (intermediate outcome) and geospatial knowledge hubs (ultimate outcome). Figure 1 illustrates these relationships.

Level 1: GIS Capabilities as Strategic Organizational Resources

At the first level, GIS is conceptualized as a strategic organizational capability rather than simply a mapping technology. GIS capabilities include spatial data integration, geovisualization, spatial analytics, location intelligence and spatial decision support. These capabilities enable libraries to integrate spatial and non-spatial information, generate multidimensional knowledge representations and provide advanced analytical services that extend beyond conventional information management.

From the perspective of the Knowledge-Based View, GIS represents a valuable organizational resource capable of enhancing the quality, accessibility and strategic use of knowledge. By integrating geospatial intelligence into digital repositories, research data infrastructures and institutional knowledge systems, libraries become capable of supporting evidence-based research, interdisciplinary collaboration and spatially informed decision-making [27]. However, the framework argues that GIS capabilities alone are insufficient to transform libraries unless they are effectively embedded within organizational knowledge management processes.

Level 2: Knowledge Management as the Mediating Mechanism

The second level conceptualizes knowledge management capabilities as the principal mediating mechanism through which GIS capabilities influence organizational transformation. Knowledge management comprises four interconnected processes: knowledge creation, knowledge organization and storage, knowledge sharing and knowledge application [14,37,44]..

GIS capabilities strengthen each of these processes by enabling the integration of spatial and non-spatial datasets, facilitating advanced visualization, improving collaborative knowledge exchange and supporting context-aware decision-making. For example, geovisualization enables researchers to interpret complex datasets more effectively, while spatial analytics supports the discovery of new relationships that may not be apparent through conventional textual or statistical analysis. Consequently, GIS contributes not only to improved information management but also to organizational learning, knowledge innovation and evidence-based service delivery.

This mediating relationship constitutes one of the principal theoretical contributions of the proposed framework because it explains how GIS creates organizational value rather than assuming a direct relationship between technology adoption and institutional transformation.

Level 3: Organizational Enablers as Moderating Factors

Unlike previous conceptual models, the proposed framework recognizes that successful GIS-enabled knowledge management depends upon several organizational conditions that either strengthen or weaken the relationship between GIS capabilities and knowledge management processes. These organizational enablers function as moderating variables and include ICT infrastructure, staff GIS competency, leadership support, organizational readiness, institutional policy and data governance.

Adequate technological infrastructure provides the computational capacity required for geospatial data processing and storage, while staff competencies determine the organization’s ability to utilise GIS effectively. Leadership commitment facilitates strategic investment and organizational change, whereas governance mechanisms ensure data quality, interoperability, privacy and ethical management of geospatial information. The inclusion of these moderators provides a more realistic explanation of organizational transformation by acknowledging that identical GIS technologies may produce different outcomes across library environments depending on institutional readiness.

Level 4: Library Digital Transformation as an Intermediate Organizational Outcome

Strengthened knowledge management capabilities subsequently facilitate library digital transformation, representing the intermediate organizational outcome within the framework. Digital transformation extends beyond the digitization of collections and encompasses organizational restructuring, digital scholarship, research data services, spatial data governance, service innovation and collaborative knowledge creation [42].

Through GIS-enabled knowledge management, libraries expand their traditional roles as information repositories to become knowledge-intensive organizations capable of supporting digital research infrastructures, spatial data services, interdisciplinary collaboration and advanced analytical services. This transformation also promotes the development of spatial literacy among users and strengthens libraries’ strategic contribution to research, education and public policy.

Level 5: Emergence of Geospatial Knowledge Hubs

The final level of the framework conceptualizes geospatial knowledge hubs as the ultimate organizational outcome of successful GIS integration. Geospatial knowledge hubs represent digitally transformed libraries that integrate geoinformation management, knowledge management and organizational innovation to generate value through spatial intelligence.

These hubs perform multiple strategic functions. First, they provide evidence-based decision support by integrating spatial intelligence into research and policy development. Second, they facilitate community engagement through participatory mapping, citizen science and collaborative knowledge production. Third, they promote innovation by supporting digital scholarship, interdisciplinary research and the development of value-added geospatial information products and services. Finally, they strengthen organizational learning through continuous knowledge creation, knowledge exchange and collaborative problem-solving.

Rather than functioning merely as repositories of information, geospatial knowledge hubs become active participants in regional innovation ecosystems, supporting sustainable development, scientific discovery and data-driven governance.

Theoretical Implications of the Framework

The proposed framework makes several important theoretical contributions. First, it integrates theories from geoinformation science, knowledge management, digital transformation and Library and Information Science into a unified explanatory model. Second, it moves beyond earlier linear conceptualizations by introducing mediating (knowledge management) and moderating (organizational enablers) mechanisms that explain the conditions under which GIS capabilities generate organizational value. Third, it conceptualizes GIS as a strategic organizational capability rather than merely a technical application, thereby aligning the study more closely with contemporary geoinformation management scholarship. Finally, the framework establishes a theoretically grounded foundation for developing empirically testable propositions concerning the relationships among GIS capabilities, knowledge management processes, organizational transformation and the emergence of geospatial knowledge hubs.

4.3. Theoretical Propositions and Conceptual Framework

Building upon the conceptual framework presented in Section 4.2, this study develops a series of theoretically grounded propositions that explain the relationships among GIS capabilities, knowledge management capabilities, organizational enablers, library digital transformation and the emergence of geospatial knowledge hubs. Unlike empirical hypotheses, conceptual propositions specify theoretically expected relationships among constructs and provide a foundation for subsequent empirical investigation [15].

The propositions are derived from the Knowledge-Based View [21], the SECI Theory of Knowledge Creation [44], Digital Transformation Theory [42] and contemporary geoinformation management literature [27]. Together, these theories suggest that organizational transformation results not simply from technology adoption but from the interaction between technological capabilities, knowledge management processes and enabling organizational conditions.

4.3.1. Theoretical Propositions

Proposition 1 (P1): GIS capabilities positively influence knowledge creation through enhanced spatial data integration and geospatial analytics.

GIS enables libraries to integrate heterogeneous spatial and non-spatial datasets, facilitating the generation of new organizational knowledge. Spatial analytics and geovisualization promote pattern recognition, interdisciplinary collaboration and research innovation, thereby strengthening organizational knowledge creation.

Proposition 2 (P2): GIS capabilities positively influence knowledge organization, storage, sharing and application within library knowledge management systems.

The integration of GIS enhances the organization, retrieval, visualization and dissemination of knowledge resources. By incorporating spatial intelligence into repositories and digital services, libraries improve knowledge accessibility, collaboration and evidence-based information use.

Proposition 3 (P3): Knowledge management capabilities mediate the relationship between GIS capabilities and library digital transformation.

The benefits of GIS are realized primarily through strengthened knowledge management processes. Libraries that effectively integrate GIS into knowledge creation, storage, sharing and application are more likely to achieve successful digital transformation than libraries that merely adopt GIS technologies.

Proposition 4 (P4): Organizational readiness positively moderates the relationship between GIS capabilities and knowledge management capabilities.

The effectiveness of GIS-enabled knowledge management depends upon institutional readiness, including strategic planning, organizational culture, leadership commitment and change management practices. Higher organizational readiness strengthens the positive influence of GIS on knowledge management.

Proposition 5 (P5): Staff GIS competency and ICT infrastructure positively moderate the relationship between GIS capabilities and library digital transformation.

The availability of skilled personnel and robust technological infrastructure enhances the implementation of GIS-enabled knowledge management and accelerates digital transformation within libraries.

Proposition 6 (P6): Library digital transformation positively influences the development of geospatial knowledge hubs.

Digitally transformed libraries are better positioned to deliver spatially enabled services, support digital scholarship, manage research data and provide evidence-based decision support, thereby facilitating their evolution into geospatial knowledge hubs.

Proposition 7 (P7): Geospatial knowledge hubs positively enhance organizational innovation, community engagement and evidence-based decision-making.

Libraries functioning as geospatial knowledge hubs create value by integrating geospatial intelligence into research, policy development, community participation and interdisciplinary collaboration, thereby expanding their strategic role within knowledge ecosystems.

Proposition 8 (P8): The relationship between GIS capabilities and geospatial knowledge hubs is sequentially mediated by knowledge management capabilities and library digital transformation.

The framework proposes that GIS capabilities do not directly transform libraries into geospatial knowledge hubs. Instead, this transformation occurs through two sequential mechanisms: strengthened knowledge management capabilities followed by organizational digital transformation. This sequential mediation constitutes the principal theoretical contribution of the proposed framework.

4.3.2. Conceptual Framework

Figure 1 presents the proposed conceptual framework. the framework conceptualizes organizational transformation as a multidimensional process involving technological capabilities, organizational resources, mediating knowledge management processes and enabling institutional conditions.

The framework consists of five principal components:

GIS Capabilities (Independent Construct). These include spatial data integration, geovisualization, spatial analytics, location intelligence and spatial decision-support capabilities.

Knowledge Management Capabilities (Mediating Construct). These encompass knowledge creation, knowledge organization, knowledge sharing and knowledge application, representing the principal mechanisms through which GIS creates organizational value.

Organizational Enablers (Moderating Constructs). Organizational readiness, ICT infrastructure, staff GIS competency, leadership support, institutional policy and data governance moderate the effectiveness of GIS-enabled knowledge management.

Library Digital Transformation (Intermediate Organizational Outcome). Strengthened knowledge management capabilities facilitate digital scholarship, research data management, organizational learning, service innovation and spatial data governance.

Geospatial Knowledge Hubs (Ultimate Organizational Outcome). Digitally transformed libraries evolve into geospatial knowledge hubs characterized by spatial intelligence, evidence-based decision support, interdisciplinary collaboration, innovation and community engagement.

The framework therefore explains both the direct and indirect mechanisms through which GIS capabilities generate organizational value. It further recognizes that technological capabilities alone are insufficient to produce institutional transformation without complementary organizational capabilities and effective knowledge management processes.

Accordingly, the conceptual model provides a comprehensive theoretical foundation for future empirical studies examining the implementation of geoinformation management within libraries. Researchers may operationalize the proposed constructs and test the mediating and moderating relationships using quantitative, qualitative, or mixed-methods research designs across different library environments.

5. Discussion

5.1. Theoretical Implications

This study advances the emerging discourse on geoinformation management in libraries by proposing an integrated conceptual framework that connects Geographic Information Systems (GIS) capabilities, knowledge management (KM), organizational enablers, digital transformation and geospatial knowledge hubs. Unlike previous studies that have examined GIS primarily as a technical platform for mapping or spatial data management [27] or considered knowledge management independently within library environments [14], this study conceptualizes GIS as a strategic organizational capability that enhances knowledge processes and facilitates institutional transformation.

The first theoretical contribution lies in extending the Knowledge-Based View (KBV) by demonstrating that spatial intelligence constitutes a valuable organizational knowledge resource. While the KBV emphasizes knowledge as the principal source of organizational advantage [22]. (Grant & Phene, 2022), previous studies have paid limited attention to the contribution of geospatial information to organizational learning. The proposed framework argues that GIS capabilities enrich knowledge creation, organization, sharing and application through spatial integration, geovisualization and analytical intelligence. Consequently, GIS becomes not merely an information technology but a strategic mechanism for strengthening organizational knowledge capabilities.

Second, this study extends [44] SECI model by incorporating geospatial intelligence into organizational knowledge creation. Existing KM research has primarily emphasized interactions between tacit and explicit knowledge without adequately considering spatially referenced information. The proposed framework suggests that GIS facilitates richer contextualization of knowledge by integrating geographic dimensions into knowledge creation and dissemination, thereby expanding the theoretical understanding of organizational learning.

Third, the framework contributes to Digital Transformation Theory by explaining that successful digital transformation in libraries depends not solely on technology adoption but on the interaction among technological capabilities, organizational readiness, staff competencies, governance structures and knowledge management processes [42]. These finding challenges technology-centric perspectives that assume direct organizational benefits from digital innovation and instead supports a capability-based explanation of digital transformation.

Another important contribution is the introduction of geospatial knowledge hubs as a new conceptual construct within Library and Information Science. Previous literature has examined digital libraries, smart libraries and research data services [9,29], yet few studies have conceptualized libraries as institutions that generate organizational value through geospatial intelligence. The proposed framework therefore broadens the theoretical scope of library science by positioning libraries as active producers of spatial knowledge, interdisciplinary collaboration and evidence-based decision support rather than passive repositories of information.

Furthermore, unlike previous conceptual models that depict a simple linear relationship between GIS and library innovation, this study introduces mediating and moderating mechanisms. Specifically, knowledge management capabilities mediate the relationship between GIS capabilities and digital transformation, while organizational readiness, ICT infrastructure, leadership support, staff GIS competency and data governance moderate these relationships. These mechanisms provide a more comprehensive explanation of organizational change and represent a significant theoretical advancement over earlier frameworks.

Finally, the propositions developed in this study establish a theoretically grounded research agenda for future empirical investigations. The framework provides measurable constructs that can be operationalized and validated using quantitative, qualitative, or mixed-methods research across different categories of libraries. Consequently, the study contributes not only a conceptual explanation but also a roadmap for theory testing and refinement.

5.2. Practical Implications

The proposed framework provides several practical implications for library administrators, information professionals, higher education institutions and organizations responsible for digital transformation initiatives.

First, libraries should move beyond treating GIS as a specialized research support service and instead integrate geospatial capabilities into institutional knowledge management strategies. Such integration would enable libraries to develop spatial repositories, geovisualization services, location-based information systems and decision-support platforms that extend the value of traditional information services.

Second, successful implementation requires significant investment in human capital development. Library professionals require competencies in GIS software, spatial analytics, research data management, visualization technologies and digital scholarship. Continuous professional development programmes should therefore incorporate geospatial information management as an emerging professional competency.

Third, organizational readiness is essential for successful implementation. Library managers should establish supportive governance structures, allocate financial resources, develop institutional GIS policies and promote interdisciplinary collaboration among librarians, geographers, data scientists and information technology specialists.

Fourth, partnerships between libraries, universities, government agencies and private-sector organizations can accelerate GIS adoption through shared infrastructure, collaborative research and joint data management initiatives. Such collaborations will improve access to geospatial datasets while strengthening the strategic role of libraries within regional innovation ecosystems.

Finally, the framework demonstrates that GIS implementation should be viewed as an organizational transformation initiative rather than merely a technological upgrade. Libraries that successfully integrate GIS into knowledge management are likely to strengthen research support, improve evidence-based services, enhance community engagement and contribute more effectively to sustainable development initiatives.

5.3. Policy Implications

The findings have important implications for policymakers responsible for digital transformation, higher education and national geospatial information infrastructures.

Governments should recognize libraries as strategic partners within national digital ecosystems by incorporating GIS-enabled library services into digital transformation policies. Dedicated funding mechanisms should support the acquisition of GIS software, spatial databases, cloud infrastructure and research data management platforms.

Professional regulatory bodies and library associations should incorporate geospatial information management into competency standards, accreditation frameworks and continuing professional development programmes to ensure that future librarians possess appropriate digital and analytical skills.

Policy frameworks should also strengthen data governance through standardized metadata, interoperability protocols, open-data initiatives, ethical data management practices and privacy protection policies. These measures will improve the quality and sustainability of geospatial knowledge services while promoting responsible data sharing across institutions.

Furthermore, national innovation policies should encourage collaborative partnerships among libraries, universities, government agencies and industry to promote interdisciplinary research and maximize the societal benefits of geospatial information resources.

5.4. Limitations and Future Research

Despite its theoretical contributions, the study has several limitations that provide opportunities for future research.

First, the proposed framework is conceptual and therefore has not been empirically validated. Future studies should examine the proposed relationships using structural equation modelling, regression analysis, qualitative case studies, or mixed-methods research involving academic, public and special libraries.

Second, the framework was developed through interdisciplinary literature synthesis rather than systematic empirical observation. Although this approach is appropriate for conceptual theory development [25], empirical evidence is required to verify the mediating role of knowledge management capabilities and the moderating influence of organizational readiness, ICT infrastructure, staff competencies, leadership support and data governance.

Third, organizational contexts differ considerably across developed and developing countries. Future comparative studies should investigate how contextual variables such as institutional size, funding availability, technological maturity and national digital policies influence GIS implementation within different categories of libraries.

Fourth, future research should operationalize the proposed construct of geospatial knowledge hubs by developing reliable measurement indicators that assess organizational innovation, spatial intelligence, decision-support capability, interdisciplinary collaboration and community engagement.

Finally, longitudinal studies would provide valuable insights into the evolution of GIS-enabled knowledge management and digital transformation over time, thereby strengthening understanding of the organizational processes that underpin successful implementation.

Overall, this study provides an initial theoretical foundation for integrating geoinformation management into library knowledge ecosystems. Continued empirical investigation will be essential for validating, refining and extending the proposed framework across diverse organizational and geographical contexts.

6. Future Research Directions

The conceptual framework proposed in this study establishes a theoretical foundation for understanding how Geographic Information Systems (GIS) capabilities can strengthen knowledge management (KM) processes and facilitate the transformation of libraries into geospatial knowledge hubs. However, because the framework is conceptual, its broader value depends on rigorous empirical validation and theoretical refinement. Accordingly, several important directions for future research are proposed.

First, future studies should empirically validate the conceptual framework and its propositions across different library contexts. The eight propositions advanced in this study provide a basis for testing the direct, mediating, moderating and sequential relationships among GIS capabilities, knowledge management capabilities, organizational enablers, library digital transformation and geospatial knowledge hubs. Quantitative approaches, such as Structural Equation Modelling (SEM), Partial Least Squares Structural Equation Modelling (PLS-SEM) and multilevel regression analysis, could be employed to examine these relationships, while qualitative case studies and mixed-methods research would provide deeper insights into organizational processes and contextual factors [11,23].

Second, comparative case studies should investigate GIS implementation across different categories of libraries, including academic, public, special, national and digital libraries. Such studies would identify institutional characteristics that facilitate or constrain successful GIS-enabled knowledge management. Comparative analyses between developed and developing countries would also provide valuable evidence regarding the influence of technological infrastructure, organizational culture, funding and national digital policies on GIS adoption.

Third, future research should operationalize and validate the construct of geospatial knowledge hubs, which represents the principal theoretical contribution of this study. Researchers should develop reliable measurement scales and performance indicators for assessing dimensions such as spatial intelligence, knowledge innovation, interdisciplinary collaboration, evidence-based decision support, digital scholarship and community engagement. The development of validated measurement instruments would significantly strengthen future empirical investigations.

Fourth, additional research should examine the mediating and moderating mechanisms proposed in the framework. In particular, future studies should investigate the extent to which knowledge management capabilities mediate the relationship between GIS capabilities and library digital transformation. Likewise, the moderating influence of organizational readiness, ICT infrastructure, leadership support, staff GIS competency, institutional policy and data governance should be empirically assessed to determine the organizational conditions that maximize the benefits of GIS implementation.

Fifth, longitudinal research is needed to understand how GIS-enabled knowledge management evolves over time. Organizational transformation is a dynamic process rather than a single event; therefore, longitudinal studies would provide valuable evidence on the sustainability, maturity and long-term impacts of GIS adoption on library services, organizational learning, innovation and user outcomes.

Sixth, future research should integrate complementary theoretical perspectives to enrich understanding of GIS-enabled organizational transformation. Frameworks such as the Technology–Organization–Environment (TOE) Framework, Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), the Resource-Based View (RBV) and Dynamic Capability Theory may complement the Knowledge-Based View and Digital Transformation Theory adopted in this study. Such theoretical integration would provide a more comprehensive explanation of technology adoption and organizational change within library environments.

Finally, interdisciplinary collaboration among researchers in Library and Information Science, Geographic Information Science, Information Systems, Data Science, Artificial Intelligence and Knowledge Management should be encouraged. Emerging technologies including artificial intelligence, machine learning, cloud computing, digital twins, the Internet of Things (IoT) and big data analytics present opportunities for expanding GIS-enabled knowledge services beyond traditional library functions. Investigating the interaction of these technologies with GIS and knowledge management will further strengthen the strategic role of libraries within digital knowledge ecosystems.

In conclusion, future research should move beyond conceptual development toward systematic empirical investigation and theoretical refinement. Testing the proposed framework across diverse organizational contexts will not only validate its explanatory power but also contribute to the advancement of geoinformation management, knowledge management and Library and Information Science. Such efforts will support the evolution of libraries into intelligent, data-driven and geospatially enabled knowledge hubs capable of promoting research excellence, innovation, evidence-based decision-making and sustainable societal development.

7. Conclusion

This study has proposed and theoretically developed an integrated conceptual framework that explains how Geographic Information Systems (GIS) capabilities can strengthen knowledge management (KM) processes and facilitate the transformation of libraries into geospatial knowledge hubs. Responding to the growing convergence of geoinformation management, digital transformation and Library and Information Science, the study addresses an important gap in the literature by positioning GIS not merely as a spatial analysis tool but as a strategic organizational capability that enhances knowledge creation, organization, sharing, application and evidence-based decision-making within contemporary libraries.

The principal contribution of this research lies in its interdisciplinary integration of the Knowledge-Based View (KBV), the SECI model of knowledge creation and Digital Transformation Theory to explain the mechanisms through which GIS creates organizational value. Unlike earlier conceptualizations that present a simple linear relationship between GIS and library innovation, the proposed framework incorporates knowledge management capabilities as mediating mechanisms and organizational enablers including ICT infrastructure, staff GIS competency, leadership support, organizational readiness, institutional policy and data governance as moderating factors. This multidimensional perspective represents a significant theoretical advancement and provides a more comprehensive explanation of digital transformation within library environments.

The study also introduces the concept of geospatial knowledge hubs as a novel theoretical construct. By integrating geospatial intelligence into knowledge management processes, libraries are reconceptualized as dynamic, data-driven organizations capable of supporting digital scholarship, interdisciplinary research, spatial decision support, community engagement and organizational innovation. This perspective expands the theoretical boundaries of both Library and Information Science and geoinformation management while highlighting the strategic contribution of libraries within digital knowledge ecosystems.

From a practical perspective, the framework provides guidance for library administrators and institutional leaders seeking to implement GIS-enabled knowledge services. The findings emphasize that successful implementation requires investment not only in geospatial technologies but also in organizational readiness, professional capacity development, robust ICT infrastructure, effective data governance and collaborative partnerships. These organizational capabilities are essential for transforming libraries into innovative centres of spatial intelligence and knowledge services.

The study likewise offers important policy implications by demonstrating the need for governments, higher education institutions, professional bodies and funding agencies to support GIS adoption through strategic investment, workforce development, interoperable geospatial infrastructures and national digital transformation initiatives. Such policy support will strengthen the ability of libraries to contribute to research excellence, evidence-based policymaking, sustainable development and community resilience.

Despite these contributions, the study remains conceptual and has not yet been empirically validated. Accordingly, the proposed framework and its theoretical propositions should be tested across diverse library environments using quantitative, qualitative and mixed-methods research approaches. Future empirical investigations will be essential for validating the mediating and moderating relationships proposed in this study, refining the construct of geospatial knowledge hubs and extending the framework across different organizational and geographical contexts.

In conclusion, the study demonstrates that the strategic integration of GIS into library knowledge management has the potential to redefine the role of libraries within the digital knowledge economy. By combining geospatial intelligence with organizational knowledge capabilities, libraries can evolve beyond traditional information repositories to become intelligent, innovative and data-driven knowledge ecosystems that support research, informed decision-making, interdisciplinary collaboration and sustainable societal development. The proposed framework therefore provides both a theoretical foundation and a practical roadmap for future scholarship and organizational transformation in geoinformation management and Library and Information Science.