Main research areas and questions
| Research area | Research questions |
|---|---|
| Knowledge sharing and DT | 1. How do DT initiatives influence the dynamics of tacit versus explicit knowledge sharing? 2. What organizational factors foster trust in digital knowledge-sharing environments? 3. How do hybrid or remote work settings impact the effectiveness of knowledge-sharing practices? 4. How do cultural and geographic differences shape the adoption of digital platforms for knowledge sharing? 5. What role does leadership play in balancing technological efficiency with relational trust in knowledge sharing? 6. To what extent can AI-powered tools mitigate barriers to effective knowledge sharing across dispersed teams? |
| Knowledge creation in digitally transformed enterprises | 1. How does DT impact the balance between structured and emergent knowledge creation? 2. What are the primary barriers SMEs face in leveraging digital tools for knowledge creation, and how can these be overcome? 3. How do cognitive overload and data deluge affect employees’ ability to create meaningful knowledge? 4. How can leadership styles and organizational culture enable effective digital knowledge creation? 5. What strategies enhance cross-disciplinary knowledge creation in digitally transformed enterprises? 6. How does the integration of digital technologies influence knowledge creation processes in resource-constrained settings? |
| Digitization and Knowledge-Based systems | 1. What frameworks can enable the scalability of knowledge-based systems across industries with varying digital maturity? 2. How do knowledge-based systems support decision-making under high levels of uncertainty and complexity? 3. To what extent do emerging technologies, such as IoT and edge computing, enhance the adaptability of knowledge-based systems? 4. How can organizations design systems that balance real-time agility with long-term strategic goals? 5. How does organizational culture influence the adoption and effectiveness of digitized knowledge systems? 6. What role do knowledge-based systems play in driving competitive advantage in high-velocity industries? |
| Data-Driven innovation and advanced technologies | 1. How can organizations mitigate ethical risks, such as bias and privacy concerns, in AI-powered KMSs? 2. What governance frameworks are needed to ensure transparency and fairness in AI-driven KMSs? 3. To what extent do AI-enabled innovations enhance or constrain employee creativity and decision-making? 4. How can organizations balance the trade-offs between efficiency and human-centric innovation in data-driven systems? 5. What role do organizational structures play in enabling ethical and effective data-driven innovation? 6. How do AI and Big Data technologies reshape the dynamics of KM practices across industries? |
| Green digitalization and KM for sustainability | 1. How do green KM practices contribute to environmental sustainability and organizational resilience? 2. What leadership behaviours are most effective in embedding sustainability into KM practices? 3. How can organizations measure the long-term impacts of digitalization initiatives on sustainability goals? 4. What are the trade-offs between operational efficiency and environmental sustainability in digitally driven KM practices? 5. How can green innovation frameworks be adapted to industries with low environmental awareness or regulatory pressures? 6. What role does green KM play in enhancing the intangible value of organizations, such as brand equity and employee engagement? |
| Contextual influences on digitalization and KM | 1. How do cultural differences affect the adoption and effectiveness of digital KM practices in global organizations? 2. What contextual factors enable or hinder the scalability of KMSs in low digital maturity industries? 3. How do regional economic conditions impact the adoption of digital technologies? 4. What strategies can organizations use to balance global standardization with local customization in KM practices? 5. To what extent do industry-specific regulations influence KMS design and implementation? 6. How do trust and collaboration evolve in culturally diverse, digitally driven KM environments? |
| Resilience and organizational agility | 1. What KM practices are most effective in fostering resilience during crises, such as pandemics or economic downturns? 2. How can knowledge-sharing networks enhance organizational agility in volatile environments? 3. What role do dynamic KM capabilities play in balancing short-term responsiveness with long-term strategy? 4. How can organizations use KMSs to proactively identify and mitigate risks in uncertain environments? 5. To what extent do organizational size and industry context affect the agility of KM practices? 6. How does the integration of KM and innovation practices influence resilience in digitally transformed organizations? |
| Human dimensions of digitalization and KM | 1. How can organizations ensure inclusivity and mitigate the risks of digital exclusion in KMSs? 2. What strategies enhance employee engagement and motivation in digitally transformed KM environments? 3. How do employees perceive the impact of automation and AI on their creative and strategic contributions? 4. What training and development programs best prepare employees for effective participation in digital KMSs? 5. How can organizations foster a balance between human-centric and technology-driven KM approaches? 6. To what extent do demographic factors, such as age or digital literacy, influence the adoption of digital KM practices? |
| Research area | Research questions |
|---|---|
| Knowledge sharing and | 1. How do |
| Knowledge creation in digitally transformed enterprises | 1. How does |
| Digitization and Knowledge-Based systems | 1. What frameworks can enable the scalability of knowledge-based systems across industries with varying digital maturity? 2. How do knowledge-based systems support decision-making under high levels of uncertainty and complexity? 3. To what extent do emerging technologies, such as IoT and edge computing, enhance the adaptability of knowledge-based systems? 4. How can organizations design systems that balance real-time agility with long-term strategic goals? 5. How does organizational culture influence the adoption and effectiveness of digitized knowledge systems? 6. What role do knowledge-based systems play in driving competitive advantage in high-velocity industries? |
| Data-Driven innovation and advanced technologies | 1. How can organizations mitigate ethical risks, such as bias and privacy concerns, in AI-powered KMSs? 2. What governance frameworks are needed to ensure transparency and fairness in AI-driven KMSs? 3. To what extent do AI-enabled innovations enhance or constrain employee creativity and decision-making? 4. How can organizations balance the trade-offs between efficiency and human-centric innovation in data-driven systems? 5. What role do organizational structures play in enabling ethical and effective data-driven innovation? 6. How do |
| Green digitalization and | 1. How do green |
| Contextual influences on digitalization and | 1. How do cultural differences affect the adoption and effectiveness of digital |
| Resilience and organizational agility | 1. What |
| Human dimensions of digitalization and | 1. How can organizations ensure inclusivity and mitigate the risks of digital exclusion in KMSs? 2. What strategies enhance employee engagement and motivation in digitally transformed |
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