Emerging Research in Knowledge Management and Innovation

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 11579

Special Issue Editors


E-Mail Website
Guest Editor
Mechanical Engineering, University of Turku, Turku, Finland
Interests: knowledge management; artificial intelligence; innovation; serious games; virtual environments (AR, VR, MR, XR, metaverse); software project management

E-Mail Website
Guest Editor
Mechanical Engineering, University of Turku, Turku, Finland
Interests: knowledge service engineering; resource modeling and efficiency; system design; smart systems engineering; target training complexity; competence

E-Mail Website
Guest Editor

Special Issue Information

Dear Colleagues,

Within companies, organizations, and government bodies, knowledge, information, and data continuously flow through organizations, shaping their strategies, operations, processes, and activities.

Knowledge management can function as a live, continuous knowledge-sharing environment where employees are encouraged to propose innovative solutions that align with the organization’s goals. In this sense, knowledge management serves as the innovation engine that enables organizations to effectively harness their human intellectual assets. It acts as a dynamic and ongoing process that empowers employees at all levels to actively contribute ideas, regardless of their rank or position.

Through knowledge management, organizations transform business data, information, and knowledge into valuable insights, ideas, and innovations. This process creates competitive advantages and drives organizations toward extroversion and modern entrepreneurship. By integrating individual and collective perspectives on innovation, knowledge management ensures that the creative potential of all participants is realized.

Such operations cannot be one-time events or periodic activities, but rather an integral part of the organization's culture. Employees can be continuously given the opportunity to openly express their ideas and provide justifications for how their contributions can optimize the organization’s operations and advance its strategy.

By fostering a culture of knowledge-based strategy, organizations can ignite corporate innovation and entrepreneurship, enhancing their competitiveness and extroversion. Employees who propose successful knowledge contributions are recognized for their contributions and can receive support to further develop their ideas into innovative products and services. This can lead to career advancements, such as being promoted to manage a product line based on their innovation or leading a spin-off company created to commercialize their idea.

In the broader context, the synergy between knowledge management, innovation, and entrepreneurship forms a logical progression for leveraging corporate human intellectual capital. This tripartite approach fuels knowledge-driven business transformation strategies that keep organizations at the forefront of innovation and competitiveness.

This Special Issue on “Emerging Research in Knowledge Management and Innovation” seeks high-quality original works focusing on knowledge utilization via innovative processes and entrepreneurial initiatives, covering, but not limited to, the following topics:

  • Knowledge management;
  • Innovation management;
  • Knowledge-based leadership;
  • Leadership fundamentals for innovation;
  • Knowledge-based strategy;
  • Knowledge and innovation management metrics;
  • Innovation management practices, processes, and frameworks;
  • Knowledge management applications and case studies;
  • Knowledge and innovation repositories;
  • Knowledge and innovation technologies;
  • Knowledge sharing and democratization;

Analogical reasoning for innovation and entrepreneurship.

Prof. Dr. Evangelos Markopoulos
Prof. Dr. Jussi Kantola
Dr. Angelos P. Markopoulos
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • knowledge management
  • innovation management
  • knowledge management applications and case studies

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (5 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Other

26 pages, 2529 KB  
Article
Digital Innovation Through Behavioural Analytics: Evidence from Acquisition Channels and Engagement in Global Cruise Firms
by Dimitrios P. Reklitis, Nikolaos T. Giannakopoulos, Marina C. Terzi, Damianos P. Sakas, Stylianos K. Tountas, Nikos Kanellos and Panagiotis Reklitis
Information 2025, 16(11), 1012; https://doi.org/10.3390/info16111012 - 20 Nov 2025
Viewed by 418
Abstract
Digital transformation has reshaped how cruise firms acquire, engage and retain customers. However, existing research rarely integrates these behavioural dimensions within a unified analytical framework. This study applies a hybrid regression–Fuzzy Cognitive Mapping (FCM) approach to examine how acquisition channels, engagement indicators and [...] Read more.
Digital transformation has reshaped how cruise firms acquire, engage and retain customers. However, existing research rarely integrates these behavioural dimensions within a unified analytical framework. This study applies a hybrid regression–Fuzzy Cognitive Mapping (FCM) approach to examine how acquisition channels, engagement indicators and online reputation metrics jointly shape website performance and digital innovation among leading global cruise operators. Using multi-source web-analytics data, regression models identify the direct predictive effects of organic, paid, referral and email channels, while FCM captures their non-linear feedback dynamics. Results reveal that visibility does not equate to engagement: organic and referral traffic drive exposure but not depth, whereas authority and reputation mediate engagement–performance relationships. Scenario simulations reveal asymmetric responses within the digital ecosystem. Consequently, balanced, knowledge-driven channel diversification emerges as a key strategic advantage. The findings extend the Knowledge-Based View (KBV) by conceptualising behavioural analytics as organisational knowledge resources that enable adaptive learning and digital innovation. The proposed framework contributes to both tourism analytics and information systems research, offering a scalable model for understanding how data-intensive service firms convert behavioural information into strategic knowledge and sustainable competitive advantage. Full article
(This article belongs to the Special Issue Emerging Research in Knowledge Management and Innovation)
Show Figures

Figure 1

25 pages, 1230 KB  
Article
A Capability-Based Framework for Knowledge-Driven AI Innovation and Sustainability
by Márcia R. C. Santos, Luísa Cagica Carvalho and Edgar Francisco
Information 2025, 16(11), 987; https://doi.org/10.3390/info16110987 - 14 Nov 2025
Cited by 1 | Viewed by 825
Abstract
As artificial intelligence (AI) technologies increasingly shape sustainability agendas, organizations face the strategic challenge of aligning AI-driven innovation with long-term environmental and social goals. While academic interest in this intersection is growing, research remains fragmented and often lacks actionable insights into the organizational [...] Read more.
As artificial intelligence (AI) technologies increasingly shape sustainability agendas, organizations face the strategic challenge of aligning AI-driven innovation with long-term environmental and social goals. While academic interest in this intersection is growing, research remains fragmented and often lacks actionable insights into the organizational capabilities needed to operationalize sustainable AI innovation. This study addresses this gap by exploring how knowledge-based organizational capabilities—such as absorptive capacity, knowledge integration, organizational learning, and strategic leadership—support the alignment of AI initiatives with sustainability strategies. Grounded in the knowledge-based view of the firm, we conduct a bibliometric and thematic analysis of 216 peer-reviewed articles to identify emerging conceptual domains at the nexus of AI, innovation, and sustainability. The analysis reveals five dominant capability clusters: (1) data governance and decision intelligence; (2) policy-driven innovation and green transitions; (3) digital transformation through education and innovation; (4) collaborative adoption for sustainable outcomes; and (5) AI for smart cities and climate action. These clusters illuminate the multi-dimensional roles that knowledge management and organizational capabilities play in enabling responsible, impactful, and context-sensitive AI adoption. In addition to mapping the intellectual structure of the field, the study proposes a set of strategic and policy-oriented recommendations for applying these capabilities in practice. The findings offer both theoretical contributions and practical guidance for firms, policymakers, and educators seeking to embed sustainability into AI-driven transformation. This work advances the discourse on innovation and knowledge management by providing a structured, capability-based perspective for designing and implementing sustainable AI strategies. Full article
(This article belongs to the Special Issue Emerging Research in Knowledge Management and Innovation)
Show Figures

Graphical abstract

23 pages, 1714 KB  
Article
Harnessing Digital Marketing Analytics for Knowledge-Driven Digital Transformation in the Hospitality Industry
by Dimitrios P. Reklitis, Marina C. Terzi, Damianos P. Sakas and Panagiotis Reklitis
Information 2025, 16(10), 868; https://doi.org/10.3390/info16100868 - 7 Oct 2025
Viewed by 1857
Abstract
In the digitally saturated hospitality environment, research on digital transformation remains dominated by macro-level adoption trends and user-generated content, while the potential of micro-level web-behavioural data remains largely untapped. Recent systematic reviews highlight a fragmented body of literature and note that hospitality studies [...] Read more.
In the digitally saturated hospitality environment, research on digital transformation remains dominated by macro-level adoption trends and user-generated content, while the potential of micro-level web-behavioural data remains largely untapped. Recent systematic reviews highlight a fragmented body of literature and note that hospitality studies seldom address first-party behavioural data or big-data analytics capabilities. To address this gap, we collected clickstream, navigation and booking-funnel data from five luxury hotels in the Mediterranean and employed big-data analytics integrated with simulation modelling—specifically fuzzy cognitive mapping (FCM)—to model causal relationships among digital touchpoints, managerial actions and customer outcomes. FCM is a robust simulation tool that captures stakeholder knowledge and causal influences across complex systems. Using a case-study methodology, we show that first-party behavioural data enable real-time insights, support knowledge-based decision-making and drive digital service innovation. Across a 12-month panel, visitor volume was strongly associated with search traffic and social traffic, with the total-visitors model explaining 99.8% of variance. Our findings extend digital-transformation models by embedding micro-level behavioural data flows and simulation modelling. Practically, this study offers a replicable framework that helps managers integrate web-analytics into decision-making and customer-centric innovation. Overall, embedding micro-level web-behavioural analytics within an FCM framework yields a decision-ready, replicable pipeline that translates behavioural evidence into high-leverage managerial interventions. Full article
(This article belongs to the Special Issue Emerging Research in Knowledge Management and Innovation)
Show Figures

Figure 1

22 pages, 747 KB  
Article
Unpacking the Black Box: How AI Capability Enhances Human Resource Functions in China’s Healthcare Sector
by Xueru Chen, Maria Pilar Martínez-Ruiz, Elena Bulmer and Benito Yáñez-Araque
Information 2025, 16(8), 705; https://doi.org/10.3390/info16080705 - 19 Aug 2025
Viewed by 2545
Abstract
Artificial intelligence (AI) is transforming organizational functions across sectors; however, its application to human resource management (HRM) within healthcare remains underexplored. This study aims to unpack the black-box nature of AI capability’s impact on HR functions within China’s healthcare sector, a domain undergoing [...] Read more.
Artificial intelligence (AI) is transforming organizational functions across sectors; however, its application to human resource management (HRM) within healthcare remains underexplored. This study aims to unpack the black-box nature of AI capability’s impact on HR functions within China’s healthcare sector, a domain undergoing rapid digital transformation, driven by national innovation policies. Grounded in resource-based theory, the study conceptualizes AI capability as a multidimensional construct encompassing tangible resources, human resources, and organizational intangibles. Using a structural equation modeling approach (PLS-SEM), the analysis draws on survey data from 331 professionals across five hospitals in three Chinese cities. The results demonstrate a strong, positive, and statistically significant relationship between AI capability and HR functions, accounting for 75.2% of the explained variance. These findings indicate that AI capability enhances HR performance through smarter recruitment, personalized training, and data-driven talent management. By empirically illuminating the mechanisms linking AI capability to HR outcomes, the study contributes to theoretical development and offers actionable insights for healthcare administrators and policymakers. It positions AI not merely as a technological tool but as a strategic resource to address talent shortages and improve equity in workforce distribution. This work helps to clarify a previously opaque area of AI application in healthcare HRM. Full article
(This article belongs to the Special Issue Emerging Research in Knowledge Management and Innovation)
Show Figures

Figure 1

Other

Jump to: Research

34 pages, 7452 KB  
Systematic Review
Knowledge Management Strategies Supported by ICT for the Improvement of Teaching Practice: A Systematic Review
by Miguel-Angel Romero-Ochoa, Julio-Alejandro Romero-González, Alonso Perez-Soltero, Juan Terven, Teresa García-Ramírez, Diana-Margarita Córdova-Esparza and Francisco-Alan Espinoza-Zallas
Information 2025, 16(5), 414; https://doi.org/10.3390/info16050414 - 18 May 2025
Cited by 2 | Viewed by 4759
Abstract
In the modern digital ecosystem, the effective management of knowledge and the integration of information and communication technologies are the keys to revolutionizing educational practices within higher education institutions. This study presents a systematic review of recent literature, examining how the incorporation of [...] Read more.
In the modern digital ecosystem, the effective management of knowledge and the integration of information and communication technologies are the keys to revolutionizing educational practices within higher education institutions. This study presents a systematic review of recent literature, examining how the incorporation of information and communication technologies facilitates the creation and transfer of knowledge, enables collaboration among educators, and supports continuous professional development. We explore the benefits of personalized learning and the application of technological tools to enhance collaboration, access to educational resources, and pedagogical reflection. The key findings emphasize the role of these tools in promoting teacher interaction and exchange of ideas, highlighting the critical importance of training in digital competency to maximize their impact. The study also identifies challenges, including the need to improve effective knowledge transfer and technological training. In conclusion, effective knowledge management, supported by information and communication technologies, fortifies digital competencies and cultivates a culture of collaboration and content creation in higher education institutions. Full article
(This article belongs to the Special Issue Emerging Research in Knowledge Management and Innovation)
Show Figures

Figure 1

Back to TopTop