Journal of Data Science and Its Applications
Vol 1 No 1 (2018): Journal of Data Science and Its Applications

Mapping Organization Knowledge Network and Social Media Based Reputation Management

Andry Alamsyah (Telkom University)
Maribella Syawiluna (Unknown)



Article Info

Publish Date
30 Jul 2018

Abstract

Knowledge management are important aspects in an organization, especially in ICT industry. Having more control of it is essentials for the organization to stay competitive in the business. One way to assess the organization knowledge capital is by measuring employee knowledge network and their personal reputation in social media. Using this measurement, we see how employee build relationship around their peer networks or clients virtually. We also able to see how knowledge network support organization performance. The research objective is to map knowledge network and reputation formulation in order to fully understand how knowledge flow and whether employee reputation have higher degree of influence in organization knowledge network. We particularly develop formulas to measure knowledge network and personal reputation based on their social media activities. As case study, we pick an Indonesian ICT company which actively build their business around their employee peer knowledge outside the company. For knowledge network, we perform data collection by conducting interviews. For reputation management, we collect data from several popular social media. We base our work on Social Network Analysis (SNA) methodology. The result shows that employees knowledge is directly proportional with their reputation, but there are different reputations level on different social media observed in this research.

Copyrights © 2018






Journal Info

Abbrev

jdsa

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

JDSA welcomes all topics that are relevant to data science, computational linguistics, and information sciences. The listed topics of interest are as follows: Big Data Analytics Computational Linguistics Data Clustering and Classifications Data Mining and Data Analytics Data Visualization ...