A German translation and adaptation of the knowledge hiding scale. [PDF]
Steiner AL, Bart VKE, Rieger M.
europepmc +1 more source
Does Technostress Increase R&D Employees' Knowledge Hiding in the Digital Era? [PDF]
Zhang Z, Ye B, Qiu Z, Zhang H, Yu C.
europepmc +1 more source
Central Bank Digital Currencies, Financial Inclusion, and Privacy: A Normative Perspective
ABSTRACT Central bank digital currencies (CBDCs) are a digital form of a nation's money, issued by its central bank. As opposed to other forms of digital money, such as electronic bank balances or cryptocurrencies, they are centrally managed legal tender.
Andrew Allison, Alexander William Salter
wiley +1 more source
Sensemaking at work: How rationalized knowledge hiding and communication patterns affect decision quality. [PDF]
Gao Z, Bari MW, Shaheen S.
europepmc +1 more source
Emotional Intelligence and Knowledge Hiding Behaviors: The Mediating Role of Job Stress. [PDF]
Wang X, Dong B.
europepmc +1 more source
Adding Realism to Theories of Taxpayer Compliance
ABSTRACT Explaining why people pay taxes has not been a central focus in the many important contributions of Jim Cox. Even so, I argue here that his work has greatly affected the way that we think about taxpayer compliance, by adding both directly and indirectly much needed realism to the theories and the applications of compliance. These contributions
James Alm
wiley +1 more source
Managing knowledge hiding behaviors in Chinese enterprises: the mediating effects of power dynamics losses. [PDF]
Liu Y, Liu C, Spolaor R, Chen S.
europepmc +1 more source
Why and When Do Employees Hide Their Knowledge? [PDF]
Sulistiawan J +3 more
europepmc +1 more source
Knowledge sharing is critical for the learning, innovation, and performance of organizations, yet employees engage in deliberate knowledge hiding where they face hostile leadership. Grounded in Social Exchange Theory and Conservation of Resources Theory,
Zoha Mehmood, Zahra Ishtiaq Paul
core +1 more source
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai +5 more
wiley +1 more source

