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D. Lewicka

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Sep 2026

Catalysts of change: leadership's role in fueling intrapreneurship and innovation – insights from Pakistani start-ups case studies

This study investigates how leadership shapes intrapreneurship and innovation in Pakistani start-ups. Drawing on upper echelons theory (UET), it explores how founders' values and leadership practices appear to shape employee-driven innovation in a resource-constrained and culturally distinctive context. A qualitative multiple-case study was conducted across ten start-ups operating in diverse industries. Data were collected through 30 semi-structured interviews with founders and employees and analyzed using Braun and Clarke's thematic analysis, supported by NVivo. Four leadership behaviors emerged as key enablers of intrapreneurship and innovation: (1) benevolent paternalism that cultivates trust and psychological safety, (2) symbolic reduction of hierarchy through open communication and empowerment, (3) a collective orientation that frames innovation as a shared mission and (4) a frugal innovation mindset that reframes resource constraints as opportunities. These practices shape organizational conditions, including psychological safety, voice legitimacy, collective identity, and resource reinterpretation, thereby encouraging employees to initiate and develop intrapreneurial ideas despite contextual constraints. The findings offer actionable insights for start-up founders, incubators, and policymakers seeking to strengthen entrepreneurial ecosystems in emerging economies by fostering leadership practices that promote trust, empowerment and resourceful innovation. This study extends UET to early-stage ventures in an emerging economy, demonstrating how culturally embedded leadership practices translate founder values into employee intrapreneurial behavior and innovation under scarcity. By linking leadership behaviors to organizational conditions that enable intrapreneurship, the study contributes to leadership and innovation research in resource-constrained contexts.

H. ur Rehman, D. Lewicka · 0 citations
Conference Open access Aug 2026

Mapping the Intellectual Structure of Artificial Intelligence in HRM

Artificial intelligence (AI) is reshaping how organisations create, validate, share and use workforce knowledge. Despite rapid growth, research on AI in human resource management (HRM) remains fragmented across HRM, information systems and knowledge management. This study maps the intellectual structure of the Scopus-indexed literature and interprets its major research streams through a knowledge management lens. Drawing on 693 peer-reviewed journal articles published between 1991 and 2025, it combines performance analysis, bibliographic coupling, keyword co-occurrence mapping and thematic evolution with a focused qualitative reading of influential works in each cluster. The findings show rapid growth since 2019 and three dominant but weakly integrated streams: AI adoption and HR analytics; algorithmic decision-making, fairness and governance; and human-AI collaboration. The qualitative interpretation shows that these streams differ not only in topic but also in their assumptions about workforce knowledge: whether it is treated as data to be codified and optimised, as a source of bias and ethical risk, or as a human capability that intelligent systems can augment. The study contributes to knowledge management by showing that AI-HRM research is organised around competing processes of knowledge codification, validation, transfer and use, while giving less attention to knowledge creation, tacit expertise and employee-side knowledge agency. It concludes with a research agenda on knowledge governance, employee experience and cross-database validation. The Scopus-only corpus is acknowledged as a limitation.

Rasti Blbas, D. Lewicka · 0 citations

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