|
on Knowledge Management and Knowledge Economy |
|
Issue of 2023‒01‒30
three papers chosen by Laura Nicola-Gavrila Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Hua, Tan Kian; Nabeel, Rao |
| Abstract: | The intensified global Knowledge Economy is frequently reshaped under the dynamics of continuous disruptive technological advancements. Robotic process automation, artificial intelligence, machine learning, the internet of things, and big data analytics are only some of the hot topics on the agendas of organizational decision-makers in strategic development. The quest for knowledge management can no longer be separated from continuous tech transformations and innovations: knowledge mining, application, dissemination, and protection activities have grown connected to digital technologies. The present study offers a detailed insight into the knowledge management literature focused on digital transformations. As such, the relevant timeframe for the analysis starts from 2006 to 2022, as indicated by our findings. Working within a sample of 159 documents, the authors enable VOSviewer software 1.6.17 and R coding language features to identify the main research trends and updates for the selected topic. The endeavors cover countries' contribution analysis, review of academic interest evolution across short to medium timeframes (overlay analysis), as well as identification of potential future research directions which would enrich academic knowledge of the selected segment of research. The main contribution of the present bibliometric analysis research is the visual mapping of knowledge management literature in the context of the digital transformation. |
| Date: | 2022–10–20 |
| URL: | http://d.repec.org/n?u=RePEc:osf:osfxxx:ns943&r=knm |
| By: | Erina Ytsma |
| Abstract: | The effects of performance pay in routine, easy to measure tasks are well-documented, but they are much less understood in knowledge creation. This paper studies the effects of explicit and implicit, career concerns incentives common in knowledge work in a multitasking model, and estimates their causal effort and selection effects in knowledge creation by exploiting the introduction of performance pay in German academia as a natural experiment. Using data encompassing the universe of German academics, I find that performance incentives attract more productive academics, and research quantity increases by 14 to 18%, but without increasing output of the highest quality. The latter is explained by response heterogeneity. The quantity effort response is strongest for low productivity academics, who do not produce high quality work. High ability academics also produce more publications, but not more of the highest quality. Medium ability academics do not increase quantity but produce fewer high-quality papers. |
| Keywords: | performance pay, knowledge creation, career concerns, effort and selection effects, multitasking |
| JEL: | J33 M52 O31 |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:ces:ceswps:_10153&r=knm |
| By: | Annie Liang |
| Abstract: | These lecture notes accompany a one-semester graduate course on information and learning in economic theory. Topics include common knowledge, Bayesian updating, monotone-likelihood ratio properties, affiliation, the Blackwell order, cost of information, learning and merging of beliefs, model uncertainty, model misspecification, and information design. |
| Date: | 2022–12 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:2212.07521&r=knm |