Actionable Knowledge As A Service (AKAAS): Leveraging big data analytics in cloud computing environments

Audrey Depeige,Dimitri Doyencourt

doi:10.1186/s40537-015-0023-2

Abstract

Knowledge-as-a service is an emerging research trend that constitutes a promising path for organizations aiming to achieve better customer support and decision-making across a wide range of content providers. However, only few studies have explored how traditional knowledge management processes and practices are challenged and evolve in relation to social and technological transformation stemming from the new age of cloud-computing environments. This research paper attempts to answer this gap by introducing a new framework for the management of knowledge in the cloud.

Highlights

Research predicted that the cloud-computing environment, thanks to its ondemand access orientation, would enable in the upcoming years [1] to integrate and deliver knowledge on an open platform as a “kind of cloud service”
We argue that more than the volume of produced content being "king" - numbers reflecting the amounts of published content have dominated the selling value of knowledge platforms for a long time - consumers needing this knowledge and their interaction behaviors are truly key to understand in order to adapt the definition and deployment of knowledge management (KM) projects
This is a preliminary step towards an evolution of text-based and multimedia-based content towards active content [3]. In line with this view, Preda et al have developed a view of an active knowledge base [20] supported by relevant data, that dynamically federates knowledge resources, part of the knowledge being maintained locally and part of the knowledge being dynamically retrieved from the web, the combination of which is mapped on the fly onto a local knowledge base and thereby enables knowledge as a service. Following this perspective of an interactional relationship with content, we suggest that social computing paradigms and emerging collaborative approaches are necessary to support developments in the knowledge management field which we expect will draw the basis of development of new KM ecosystems where people are at the center of collective intelligence and evolving firm capabilities

Summary

Introduction

Research predicted that the cloud-computing environment, thanks to its ondemand access orientation, would enable in the upcoming years [1] to integrate and deliver knowledge on an open platform as a “kind of cloud service”. The idea of selling knowledge as a service is not new [2] It appeared with the rise of consulting firms. There is still an important lack of studies examining knowledge services and practices in cloud computing environment, as well as precise models depicting the framework and how it can be served by analytics to facilitate knowledge management in a service approach. From Knowledge Management Systemes (KMS) approaches to Actionable Knowledge As A Service (AKAAS) The field of knowledge management has flourished over the last decades, simultaneously creating new businesses for software developers, vendors, consultants, as well as generating cycles of “hypes and disappointments” [3], remaining a disputed field, paradoxically deployed over a large spectrum of business operations. Several schools of thoughts have paved the way towards the development of knowledge management (KM) applications that could help capture people knowledge (tacit knowledge) and formalize it under an explicit form for later reuse

Objectives

Conclusion