Journal of Knowledge Management Practice
The Journal of Knowledge Management Practice (formerly the Journal of Systemic Knowledge Management) has an almost 30 year history of publishing insightful and useful research on knowledge management and its practical applications. It is multidisciplinary in nature and seeks to contribute to the holistic understanding of organizational knowledge management. Papers published in the Journal of Knowledge Management Practice (JKMP) are globally distributed through major scholarly databases, and the journal is listed as a C rated journal on the Australian Business Deans Council (ABDC) list. JKMP accepts a wide range of submissions, including empirical research, conceptual studies, case studies, and critical essays. Authors are especially encouraged to contribute papers that can be used by both scholars and practitioners. All submissions receive a fast and fair review, and the initial review will be completed within 30 days.
Comparative Advantage: Conception, Formulation, and Implications
The theory of comparative advantage – generally recognized as a central proposition in economics – spawns several implications that are paramount for economic relationships across economies and business firms. The implications are rooted in the history of its development. This paper presents the conception, formulation, and extension of comparative advantage while explicating its implications. The paper also (selectively) cites the empirical literature on the static and dynamic gains from trade as they relate to comparative advantage.
Copyright (c) 2026 Journal of Knowledge Management Practice
Navigating Geopolitical Tensions: The Role of Industrial and Technological Factors on Knowledge Flows Between U.S. and China
This study investigates how geopolitical tensions impact cross-border knowledge flows between U.S. and Chinese firms, focusing on the mediating role of switching costs and the moderating effects of industrial chain dependency and technological substitutability. Drawing on Resource Dependence Theory (RDT) and the Knowledge-Based View (KBV), we empirically analyze comprehensive secondary datasets, including patent citation data and geopolitical risk indices. Our findings reveal that geopolitical tensions significantly reduce knowledge flow intensity, particularly in industries with high technological substitutability and cost sensitivity. However, industrial chain dependency mitigates these effects, with switching costs partially mediating the relationship. This study contributes to RDT by incorporating geopolitical risks as critical external dependencies and extends KBV by highlighting firms’ adaptive strategies in politically volatile environments. These insights offer actionable guidance for firms and policymakers in navigating politically sensitive global value chains.
Linking Knowledge Management and Environmental Performance: A Pathway to Sustainable Competitiveness
This study looks at how important knowledge management (KM) procedures including acquisition, sharing, storage, and application affect green innovation and help small and medium-sized businesses (SMEs) in the IT and ITES sectors grow in a way that is good for the environment. It looks at how better managing knowledge might improve social performance, environmental responsibility, and economic resilience. The study's goal is to show how important KM is for promoting innovation that supports sustainability goals, which will lead to long-term competitive advantage and responsible business practices. We used structural equation modelling (SEM) to look at the effect of knowledge management processes on green technology, green management innovation, and the environmental, social, and economic aspects of sustainability. Green innovation had a big positive effect on CSD. Dimensional analysis showed that all paths except knowledge development and acquisition had a big effect on societal sustainability. Also, managing knowledge is thought to be just as crucial for IT service companies of all sizes. No one has looked into this in the field of research previously.
Shelter from The Storm: A Systematic Review of Entrepreneurial Approach to Crisis
The frequency and severity of disasters have recently increased. Disaster mitigation approaches have gained interest in diverse fields. This review examines entrepreneurial actions during crises from an entrepreneurial perspective, focusing on non-economic crises such as earthquakes, volcanoes, and pandemics. Using a systematic review methodology and PRISMA guidelines, 91 articles were analyzed through narrative synthesis. The results show that building social capital and entrepreneurial activities through social bricolage is crucial for community resilience. This review emphasizes a socially engaged, context-specific approach to disaster mitigation that promotes novel and sustainable interventions.
Distant Others: Understanding Transgender Bias at Work with a Construal Level Theory Lens
This study investigates how the gender identity of a prospective team member, specifically, transgender versus cisgender (male or female), influences perceived interpersonal similarity and willingness to collaborate in high-stakes workplace projects. Through two between-subjects experiments using vignettes, we explore how respondents evaluate a potential team member based on their gender described as either male, female, or transgender. Results from Study 1 reveal that female respondents perceive transgender candidates as significantly less similar to themselves compared to female candidates, across multiple dimensions of interpersonal and task-related compatibility. Study 2 investigates the underlying psychological mechanisms using Construal Level Theory (CLT). Mediation analysis demonstrates that the proposed candidate’s gender and perceived similarity are significantly mediated by psychological distance. Transgender candidates are perceived as more psychologically distant, leading to lower perceived similarity. The findings provide robust empirical support for CLT in the domain of workplace inclusion, demonstrating that social identity factors, such as gender identity, influence cognitive construals and collaboration preferences in team settings. The paper contributes to diversity management, social cognition, and human resource literature by highlighting how transgender bias in hiring and team formation is not merely attitudinal but cognitively mediated through psychological mechanisms. Implications for inclusive organizational practices and training interventions are discussed.
Technological Capabilities Toward Food Security Outcomes in Emerging Economies: A Comparative Analysis of Innovation and Resilience in Nigeria
This study aims to examine the impact of digital technologies and innovation on resilience and food security in the Nigerian agri-food sector. By examining these relationships, the study aims to determine how technology and innovation inputs shape the ability to adapt and rebuild outcomes in an emerging economy. With the use of quantitative design, the study analyzed national-level data from 2015 to 2023, with key variables such as “Digital technology, Innovation, Resilience, and Food security” all measured with multiple indicators. Multiple and simple linear regression were employed to test the direct relationships between the variables. Results present a complex characteristic of organizational and technological movements in emerging economies. Indicating that while infrastructure and innovation measures are necessary, systematic outcomes such as food security and resilience may sometimes depend on governance policy and implementations. It also highlights how institutions, such as governments, systems, and organizations, can effectively utilize these tools.
A Generative Artificial Intelligence (Generative AI) Bibliometric Review of Journal of Management History (JMH) from 2006 to 2022
Study presented in this paper represents the first Artificial Intelligence (AI) driven bibliometric study in management and organizational history. It reviews literature published in the Journal of Management History from 2006 to2022 and identifies patterns in authorship, productivity, geographic influence, and collaboration. Articles were gathered through Harzing's Publish or Perish, Google Scholar, and Scopus, and analyzed with ChatGPT 4o, following guidance from leading journals. Authors validated the results via manual sampling and team reviews. As the use of artificial intelligence (AI) in (management) research is emerging, we offer a transparent, ethical, replicable, AI-driven bibliometric method enhancing analytical rigor. Findings show that North American scholars dominate collaborations, with Milorad Novićević, John Humphreys, and Albert Mills leading total output. Based on adjusted publications metrics, Jeffrey Muldoon, Novićević and Mills are the journal’s top contributors.
Generative Artificial Intelligence (Generative AI | AI)
Airbnb Host Scaling, Seasonal Patterns, and Competition
Design/methodology/approach: This is an explorative study based on the city of Milan (Italy). The sample is composed by 31,000 Airbnb hosts. To explore the scaling and seasonal patterns of Airbnb listings, AirDNA daily data were used by the research team, which cover the period of 2014 (from November) to June 2019. Therefore, the data include four completed years (2015–2018) and support a longitudinal analysis. Purpose: This paper explores the scaling (size) effect, focusing on Airbnb’s host providers, with the aim of understanding the similarities and differences in the seasonal patterns, which is considered as a proxy for competitive threat. Findings: Empirical findings show progressive dissimilarities when moving from single to multiple listings. There are fewer differences during the seasonal periods that are more centered around leisure clients and higher when Milan works prevalently with business travelers. The evidence supports the scaling effect and its ability to reduce the competitive threat among different hosts. Originality/value: The previous studies largely distinguish only between single- and multi-listing hosts, ignoring the magnitude of the scaling effect. The findings proposed in this study depict a very different picture, showing a progressive differentiation in the seasonal patterns correlated to the rise in the managed listings. The results, therefore, can significantly change the theoretical knowledge in this field and can re-orient future studies, especially in the sub-field of competition, the determinants of listing performance, and pricing strategies.
Examining the Relationship Between Knowledge-Sharing, Individual Trust, and Multinational Team Performance in a Virtual Setting: A Non-Experimental Study
This correlational, nonexperimental study examined the relationship between trust, knowledge-sharing, and performance in multinational virtual teams (MNVTs). Surveying 70 employees from a global tech firm, multiple regression analysis revealed that trust and knowledge-sharing accounted for 65.2% of the variance in team performance (R² = .652, F(2,68) = 65.714, p < .001). Findings suggest these variables are significant predictors of MNVT success. Without fostering a culture of trust and knowledge-sharing, global organizations risk team breakdowns. Promoting these factors enhances MNVT effectiveness and supports the strategic advantages of diverse, virtual collaboration.
Integrated Corporate Social Responsibility and Social Enterprise Synergy: A Multi-theoretic Perspective and Future Agenda
Despite the fact that CSR and SEs pursue complementary objectives, their synergistic relationships have not been thoroughly examined. SEs are driven by their mission to generate enduring social value, whereas CSR initiatives are shaped by the pressures of institutional and stakeholder legitimacy. This study integrates theories of stakeholder, institutional legitimacy, and resource dependence to create a framework that elucidates the drivers and outcomes of CSR–SE partnerships. These collaborations not only improve the reputation, trust, and resources of SEs but also promote sustainability and facilitate cross-industry learning, thus contributing to the advancement of theory and practice in cross-sector cooperation.
Motives that Matter: Conceptualizing a Theory of Needs, Knowledge Hiding, and Group Cohesion (TNKG)
This study explores the influence of McClelland’s need for achievement, affiliation, and power on knowledge hiding and group cohesion in organizational settings. A qualitative research design consisting of open-ended essay questions with an inductive reasoning approach was used to conceptualize the theory of needs, knowledge hiding, and group cohesion (TNKG). The study reveals that motivational needs (affiliation, achievement, and power) influence knowledge hiding behaviour and group cohesion. Affiliation-oriented employees share knowledge, enhancing group cohesion, whereas achievement-oriented employees withhold knowledge to ensure a competitive edge, but not in all contexts. Power further influences knowledge hiding, with personalized power inducing strategic withholding and socialized power encouraging knowledge sharing for collective benefit. The study also reveals that knowledge hiding is not always dysfunctional, but a self-protective response to the perceived threat in the workplace. The study presents a theory of needs, knowledge hiding, and group cohesion. It offers new insights into the psychological motivations of knowledge-related behaviours in organizations, providing useful implications for enhancing knowledge management and team cohesion.
Assessment of Student Managed Investment Programs: Are they Mutual Funds or Pedagogical Devices?
One area that has lagged behind analysis of student managed investment funds is assessment of learning. Most treatments of SMIF performance concentrate on the mutual fund aspect and look at return performance over time. Evaluating the fund in terms of common assessment metrics like learning objectives are few. Other ways are student alumni satisfaction surveys and the information transfer in the fund from experts (advisors) to novices (students). In this paper we survey existing analyses of SMIF program assessment and suggest alternative assessment tools. The objective is to discuss SMIF assessment from a pedagogical, rather than just a performance perspective.
Which Came First, Quiet Quitting or Quiet Firing? The Paradox of Constructive Discharge vs Employee Disengagement
The “first cause” paradox is famous because Aristotle demonstrated the nature of the problematic of logic with first cause arguments [exemplified in the literature by “Which came first, the chicken or the egg?”]. Knowing that, logic is governed by the principle of noncontradiction which dictates that there appears to be a cause for every effect. Because the egg is essential to get a chicken and a chicken is essential for laying an egg, the nature of cause-effect arguments demonstrates a paradox. Eggs hatching chickens and chickens laying eggs exemplify a state of infinite regress. There has not been any rational answer that could be given that does not violate the principle of noncontradiction in thought; no genuine reason could resolve the ad infinitum. Accordingly, we examined the relationship of Constructive Discharge (when managers sneakily created hostility directed at employees to make them resign—currently called “Quiet Firing”) designed to motivate voluntary employee turnover. Conversely, Quiet Quitting is the apathy of employees who do the bare minimum to keep their jobs. We found answers in the literature from 2014 to 2024 using search terms “Quiet Quitting” and “Quiet Firing” in the title of the article.
Cybersecurity in Rural Hospitals: Reducing Attack Risks and Financial Losses
This study investigates the cybersecurity vulnerabilities of rural hospitals, focusing on factors influencing both the frequency and financial consequences of cyberattacks. It examines how cybersecurity software, staff training, and investment levels affect attack rates and financial outcomes, while also considering the role of hospital size. Utilizing regression analysis, data were collected from 60 rural Bangladesh hospitals through institutional records, IT staff surveys, and public cybersecurity incident databases. Key variables included cybersecurity preparedness, training, investment, and hospital size. Hospitals with advanced cybersecurity software and well-trained staff reported fewer cyberattacks. Higher investment in cybersecurity significantly reduced the financial impact of breaches. Larger hospitals experienced more frequent attacks but were better equipped to manage associated costs. The findings highlight disparities in preparedness, with many rural hospitals lacking adequate resources. The study is limited to Bangladesh rural hospitals and relies on self-reported data, which may not fully capture the extent of cyber incidents. To mitigate cyber risks, rural hospitals should prioritize upgrading cybersecurity infrastructure and implementing comprehensive staff training. Policymakers should support these efforts through targeted funding and resources. This research addresses a critical gap in the literature by focusing on rural healthcare cybersecurity, offering a conceptual model for how software, training, and investment interact to shape cyber resilience and financial outcomes in resource-constrained environments.
Knowledge and Innovation Strategies in Global Competition: Insights from New Zealand Multinationals in Europe
The paper develops a novel typology of global knowledge and innovation strategies. It focuses on New Zealand-European Union (EU) business relations, particularly knowledge and innovation links of New Zealand firms in Europe. Four case studies of New Zealand firms operating in Europe are used to develop a typology of four global strategies depending on the strength of the firm’s global knowledge and innovation links, and its strategic position in global competition (localized versus globalized). The paper offers implications for global knowledge and innovation management, particularly by firms from small, open economies distant from the economic centres in the Northern Hemisphere.
Copyright (c) 2025 Journal of Knowledge Management Practice
Leading in the Digital Era: How Competencies, Knowledge Sharing, and Happiness Drive Virtual Team Effectiveness
This study explores how digital leadership competencies (DLCs) affect virtual team effectiveness (VTE), highlighting the mediating roles of knowledge sharing and workplace happiness. Using data from 191 employees in Saudi Arabia and PLS-SEM, IPMA, and NCA analyses, the findings show that DLCs—like digital communication, trust, and engagement—boost VTE directly and indirectly. Results reveal that cognitive (knowledge sharing) and emotional (happiness) mechanisms both play key roles. The study offers an integrated model grounded in Social Exchange Theory and provides practical insights for developing leadership skills to enhance collaboration and well-being in digital work environments.
Exploring The Factors Influencing Knowledge Management Strategy in the European Shipbuilding Industry: A Pilot Study
Knowledge is an important asset in shipbuilding. This paper aims to explore the key factors of knowledge management (KM) in European Shipbuilding to improve its strategic performance. This pilot study can form an important reference for knowledge management strategy implement in European shipbuilding. Data collected from project partners are used to test seven hypotheses by means of linear regression analysis, to identify the key factors of knowledge management strategy in European shipbuilding. This paper provides ideas for shipyards to consider when conducting knowledge management as part of the Smart European Shipbuilding (SEUS) project.
Some Theoretical Considerations for a Dynamic Equation of Exchange
The author introduces a dynamic version of the equation of exchange that is used as a basis for the derivation and discussion of (i) the relationships between force, work, and the velocity of money; (ii) the velocity of money derived from Fisher’s static equation of exchange is shown to be a special case of the velocity derived from the new dynamic equation; and (iii) the economic implications of an extreme force of money on price inflation, output transactions, and the structure of the economy. Unlike previous models, this dynamic approach allows all variables to fluctuate over time, providing a more realistic framework for analyzing monetary policy impacts and economic fluctuations.
Managing Protectionism: The Dairy Industry as a Source of Conflict between Québec and the United States
Canada’s supply management system in dairy has long been a source of friction with the United States, particularly involving Québec, which produces nearly half of Canada’s milk. While most sectors were liberalized under the North American Free Trade Agreement (NAFTA) and its successor, the United States– Mexico-Canada Agreement (USMCA), dairy remains protected by quotas, tariffs, and price controls. The exclusion of American producers—especially in key electoral states such as Wisconsin and Michigan—has made Canadian dairy a repeated target of U.S. presidents. This article examines why supply management persists despite its economic costs. It situates dairy protection in Québec’s provincial identity, language politics, and rural traditions, showing how symbolic politics can outweigh efficiency arguments in a post-material society. It also draws upon the political science theory of entrenchment, which highlights how incumbent actors and interest groups in democratic states use institutional, legal, and strategic tools to resist legislative reform and preserve their advantages. Comparisons with New Zealand, Australia, and the European Union highlight that reform is possible, but also politically costly. The article also contrasts Québec’s defense of dairy with its embrace of liberalized trade in aluminum, steel, aircraft, softwood lumber, and critical and strategic minerals, illustrating the province’s dual international strategies. Finally, it assesses the stakes for the 2026 USMCA review, where U.S. negotiators are likely to press for expanded access to the Canadian dairy market while Québec pushes Ottawa to resist.
When Performance Measures Backfire: Campbell’s Law and the Implications for ESG Metrics
According to Campbell’s Law, when a quantitative measure is used as a performance target, that measure becomes susceptible to corruption pressure. When this happens, the metric distorts the process it was intended to measure. This paper applies Campbell’s Law as a lens for examining these dynamics in the context of ESG (environmental, social, governance) metrics. The vulnerabilities of ESG metrics are identified, discussed and linked with specific risks. The result is a proposed, preliminary taxonomy which is relevant to a range of stakeholders. Theory and practice understanding of ESG are extended through the proposed taxonomy and its accompanying, suggested mitigation strategies.
Assessing the OECD Countries’ Industry 4.0 Maturity from Sustainable Development Goals’ Perspective: An Integrated PCA and DEA Approach
Industry 4.0 (I4.0) technologies and relevant research initiatives have been at the focal point of sustainable industrial development initiatives. Adoption of these technologies require a maturity level to create sustainable economic, social, and environmental benefits to society. In this study, we investigated the I4.0 maturity in OECD countries. A two-phase methodology is proposed: principal component analysis (PCA) and data envelopment analysis (DEA). The main contribution of the study to the state-of-art is a statistically reliable analytical framework which yields I4.0 maturity score from relevant United Nations Sustainable Development Goals’ perspectives. Results indicate that the proposed two-phase method significantly reduces the potential multi-collinearity impacts on I4.0 maturity performance. Moreover, USA, Sweden, Finland, and Switzerland were found to the on the efficiency frontier in terms of I4.0 maturity whereas Turkey, Chile, Latvia, and Mexico were found to be in the lowest ranks which need substantial policy implementation to increase their digitalization efforts.
A Machine Learning Model to Evaluate Digital Financial Services Adoption and Sustainable Women Empowerment
Purpose: Financial services enabled by digital technology can help address the challenges faced by women by overcoming the barriers of proximity and cost. Despite notable advancements in digital financial inclusion in India, women still face obstacles in accessing and utilizing digital financial services. Design/methodology/approach: A machine learning-based self-efficacy-value adoption model (SVAM) is applied to study the influence of self-efficacy and perceived value on the intention to adopt digital financial services (DFS). Likewise, a machine learning-based threshold decision theory was applied to examine the relationship between digital financial services access and the dimension of sustainable women empowerment in rural India. Findings: The results suggest that enhancing user experience and highlighting the benefits of DFS can increase adoption rates among women, thus promoting their economic and social empowerment. Originality/value: In this study, the authors examine an integrated framework based on supervised machine learning to access digital financial services for rural women. They are among the first to apply a self-efficacy-based value adoption model through machine learning to explore this topic. The adoption of digital financial services significantly enhances women's economic, social, and psychological empowerment in rural areas. This evidence-based study will inform policy discussions on developing a gender-sensitive strategy to promote the adoption of digital financial services among women.
self-efficacy-based value adoption model
The Effect of Junior Auditors’ Trust in Superiors and Communication Modes on Auditors’ Voice Decisions
This study examines how staff auditors’ trust in superiors and communication modes affect their voice decisions in distributed audit teams. In a 3×2 experiment involving 150 junior auditors from the U.S. and China, trust (higher-level vs. lower-level) and communication modes (face-to-face, traditional remote communication, and live video conference) were manipulated. Results show that greater trust in superiors increases auditors’ willingness to speak up. Furthermore, junior auditors exhibit greater willingness to communicate upward in face-to-face condition than in traditional remote communication. While live video conferencing results in the lowest voice. Findings offer practical insights in remote and global audit environments.
Ryan Stevens is staring down a decision that could define his legacy. At the helm of AFT Capital’s inaugural fund, he’s got one shot left—one final investment that could determine not just the fund’s performance, but his future in venture capital. The stakes? Immense. With investors watching closely, and with AFT’s DEI promises etched into its identity, Ryan is caught in a high-stakes tug-of-war. SecureChain looks like a grand slam—technologically robust, market-ready, and led by a proven team. But its leadership lacks diversity, a detail that’s impossible to ignore. The two alternative startups boast minority founders and strong DEI alignment, yet their financial trajectories are riskier. Ryan is wrestling with the hardest question of his career: does he chase the clearest path to returns—or invest in the change he claims to believe in?
Navigating Challenges of SAFe Adoption in Horizontally Sliced Agile Teams
The Scaled Agile Framework (SAFe) enables IT organizations to implement agile practices on a larger scale, extending beyond conventional team-level agility. IT organizations that adapt SAFe practices across multiple teams often encounter significant challenges in coordination and integration. Agile practices can be opted in SAFe using horizontal or vertical slicing strategies. However, the horizontal slicing can impede time to market and hinder the operations of cross-functional teams. In contrast, vertical slicing prompts alignment, synchronization, and integration in product development. This article navigates the challenges associated with adopting horizontal slicing in the SAFe model. The authors have presented the insights favoring vertical slicing as a more effective approach.
Gendered Perceptions of Leadership in Brazil: Attitudinal Divides and Cultural Implications
This study explores gender-based attitudes toward women in managerial roles in Brazil using the Women as Managers Scale (WAMS). Informed by social learning and gender role socialization theories, responses from 375 participants reveal notable attitudinal differences between men and women on issues such as emotional regulation and leadership competence. The results provide new empirical insight into gender perceptions in Brazil’s workplace culture and highlight the need for targeted interventions, including inclusive policies, training programs, and educational efforts, to advance equitable leadership opportunities across sectors.
Strategic Knowledge Management for Institutional Effectiveness in Construction Procurement: The Role of Stakeholder Inter-Communication
In the construction industry, knowledge management and knowledge sharing face significant challenges, primarily due to the involvement of diverse stakeholders and the transient nature of work clusters. While technical issues often receive attention, the informal transfer of knowledge from previous projects remains a critical gap, as the preservation of intellectual capital is essential for organizational effectiveness. The dynamic nature of construction projects, with their numerous stakeholders, further complicates the development of efficient knowledge-sharing practices. As a result, construction organizations often struggle to retain valuable insights from past projects, leading to inefficiencies and a lack of continuity in decision-making. To address these challenges, various knowledge management strategies are being explored. This research paper specifically examines knowledge management within construction procurement in Morocco's public sector, presenting a comprehensive and integrated framework validated by industry experts. The proposed framework is designed to empower procurement teams to effectively leverage organizational knowledge, thereby promoting more efficient and informed decision-making and enhancing overall institutional effectiveness. The framework also emphasizes the role of effective inter-communication among stakeholders, which is crucial for fostering a culture of knowledge sharing and ensuring that all parties can contribute to the continuous improvement of procurement practices.
AI Comments: Leveraging the Global Knowledge Corpus, One Way or Another
Submitted to the White House and to the National Telecommunications and Information Administration of the United States Department of Commerce on May 11, 2023 and updated on June 5, 2023 in response to their April 13, 2023 Request for Comments, this paper makes the case for AI as a secondary tool in knowledge management. More central to the question is the need to provide tools for scientists and other knowledge workers to compose and direct the actions of computers and digital networks in their professional and organizational roles and make scientific and administrative processes available for use in integrative and reflective ways. As to AI safety, only when valid and reliable answers are known can AI outcomes be validated. Qualitative and quantitative methodologies, including peer review, are solely capable of being carried out by humans using their wide array of senses and abilities. Once organized and validated in these ways, computers, including AI, can instantly and readily derive contexts and support high-level classification and calculation to apply them at scale.
From Theory to Practice: Leveraging Appreciative Inquiry for Workplace Belonging and Collaboration
This study employs the Appreciative Inquiry (AI) framework, a well-established organizational development intervention, as a transformative approach for fostering workplace belonging and employee collaboration within organizations. In essence, AI is grounded in a strengths-based approach, focusing on positive organizational transformation through collaboration. Drawing on the AI theoretical framework and its application, this study proposes a series of reflective questions for each phase of the AI 4-D cycle – Discovery, Dream, Design, and Destiny. These questions are designed to stimulate reflection, encourage meaningful dialogue, and promote active engagement among organizational members. By focusing on organizations’ strengths and successes, these reflective questions help guide organizations in evaluating current diversity, equity, and inclusion (DEI) practices, envisioning a shared future, and developing actionable strategies and initiatives that cultivate a culture of belonging and collaboration. This study discusses both the theoretical and practical implications of using AI to foster sustainable and inclusive organizational environments.
InfoSecPilot: Navigating the Complex Landscape of Information Security with an AI-Powered Knowledge Management Chatbot
This research investigates the development and implementation of an AI-powered conversational agent utilizing large language models (LLMs) to enhance knowledge management capabilities for information security professionals. The study employed systematic prompt engineering methodologies and structured technology validation protocols to assess chatbot performance across multiple evaluation frameworks, including user satisfaction metrics, Cohen's Kappa inter-rater reliability analysis, and Confusion Matrix statistical validation. Empirical results demonstrate substantial concordance between AI-generated responses and subject matter expert assessments, with statistically significant accuracy rates and high user satisfaction scores. The findings establish the technical feasibility and practical utility of generative AI systems as sophisticated decision-support tools within information security practice domains. This investigation contributes empirical evidence supporting the integration of AI-assisted technologies in professional workflows, demonstrating measurable improvements in knowledge accessibility and evidence-based decision-making processes. The research represents a significant advancement in applying generative artificial intelligence to specialized professional contexts, providing foundational insights for broader adoption of AI-enhanced knowledge management systems in information security practice.