IJEAST 2021
DOI: 10.33564/ijeast.2021.v06i08.007
|View full text |Cite
|
Sign up to set email alerts
|

Knowledge Base Cloud Framework for Effective Knowledge Retention in Software Supply Chain

Abstract: — Most researches focus and suggest Database and Data Warehouses to manage and manipulate organizational knowledge, although both are more suited for running data and information. Hence, they lack the basic constructs required to manipulate knowledge. This research introduces a framework for a new type of Knowledge Base (KB), which refers to as a Software Service Supply Chain Knowledge Base CLOUD (SSSC KB CLOUD) framework. SSSC KB CLOUD framework provides and explores the infrastructure for manipulating knowle… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 18 publications
0
2
0
Order By: Relevance
“…At the same time, software development is highly specialized, and every employee can develop unique knowledge and expertise, which can be hardly captured and codified by teams or by companies. In principle, this expertise is processed within various Information Systems (IS), making a "clear distinction between data, information, and knowledge" (Baydoun et al, 2021), and applying customisations approaches. Specific knowledge-sharing activities are designed to capture and retain knowledge and to prevent the loss of valuable expertise, and companies recognize that "knowledge sharing influences team performance, creativity, and climate" (Ahmad et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…At the same time, software development is highly specialized, and every employee can develop unique knowledge and expertise, which can be hardly captured and codified by teams or by companies. In principle, this expertise is processed within various Information Systems (IS), making a "clear distinction between data, information, and knowledge" (Baydoun et al, 2021), and applying customisations approaches. Specific knowledge-sharing activities are designed to capture and retain knowledge and to prevent the loss of valuable expertise, and companies recognize that "knowledge sharing influences team performance, creativity, and climate" (Ahmad et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Their study tested the efficiency and functionality of the proposed SSSC framework, which forms the basis of the proposed software of this paper. Moreover, in 2022, Baydoun and Ahmad [3] defined and introduced a new term, "Software Service Supply Chain Knowledge Base CLOUD (SSSC KB CLOUD)" [3]. It is interchangeable with the term SSSC KB (mentioned in the previous publication [2].…”
mentioning
confidence: 99%
“…It is interchangeable with the term SSSC KB (mentioned in the previous publication [2]. The authors developed a new framework for SSSC KB CLOUD, discussed and explored the main possible technical components of SSSC KB CLOUD, including Knowledge Cloud Management System, Artificial Intelligence Analysis/ SSSC Knowledge Mining, Meta Knowledge, Prior Projects Knowledge Marts and Experts' Base [3]. Their publication introduced the main theoretical structure of the proposed software in this paper.…”
mentioning
confidence: 99%