Results 91 to 100 of about 23,412 (281)

Understanding knowledge hiding behaviors in the workplace using a serious game data collection approach

, 2022
International audienceKnowledge hiding, knowledge hoarding, and knowledge withholding have drawn increasing research attention in recent decades. Most researchers approached this topic by collecting quantitative data using questionnaires with self ...
Bartel-Radic, Anne, Yang, Kaiyu, Ribiere, Vincent   +2 more
core   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Knowledge Hiding and sharing with mobile social networking applications: an integrated model of antecedents and outcomes

Mobile social networking applications (MSNAs) can support but also frustrate knowledge sharing by strategically hiding knowledge. This study investigates why people share and hide knowledge using MSNAs and subsequent influences (sense of well-being; SWB).
Fang, Yu-hui
core   +1 more source

Ostrazismus & Knowledge Hiding

, 2023
Reproducibility of empirical results is a key quality criterion for any credible research. This paper takes up this principle and presents a replication of the study by Bhatti et al. (2021) to analyse the role of efficacy needs and psychological stress on the relationship between workplace ostracism and knowledge hiding in the context of the Austrian ...
openaire   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Abusive Supervision Effects on Employee Knowledge Hiding Behavior in Academia

Despite the prevalence of research on abusive supervision in the workplace, little is known about its influence on employee knowledge hiding behaviors in the context of academia.
Centobelli P., Dumazert J. -P., Dalmasso A., Hungund S., Anand A., Cerchione R.   +5 more
core   +1 more source

Knowledge hiding in organizations: everything that managers need to know

, 2019
PurposeThough there have been umpteen discussions on knowledge sharing in organizations, there is a dearth of discussion on knowledge hiding acts, especially in learning organizations.
Anand, Payal, Hassan, Y.; id_orcid
core   +1 more source

Unveiling the hidden dynamics: A configurational analysis of personality traits, demographic factors, and knowledge hiding

Journal of Innovation & Knowledge
Knowledge Hiding is a pervasive problem in the workplace, which can have various negative consequences for individuals and organizations. Drawing from the underpinning of complexity theory, this study investigates the complex causal interrelationships ...
Andreas Kallmuenzer, Rashid Khurshid, Hafiz Muhammad Usman Khizar, Jingbo Yuan   +3 more
doaj   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Itemset hiding under multiple sensitive support thresholds

, 2017
9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2017; 1 November 2017 through 3 November 2017Itemset mining is the challenging step of association rule mining that aims to extract patterns ...
Ergenç Bostanoğlu, Belgin, Belgin Ergenç Bostanoğlu, Öztürk, Ahmet Cumhur, Ahmet Cumhur Öztürk   +3 more
core   +1 more source