A Framework for Knowledge Based Software Service Supply Chain (SSSC): A Comparative Analysis with Existing Frameworks

Baydoun, Ali; El-Den, Jamal

doi:10.1016/j.procs.2017.12.148

Cited by 3 publications

(8 citation statements)

References 11 publications

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“…Through using apps to communicate with the case company's web platform, design engineers can assess the existing knowledge in the KW to design a better mould to satisfy customers' needs. Baydoun and El-Den [44] studied the existing software service supply chain (SSSC) frameworks and analyzed how to integrate knowledge management concepts based on the SSSC lessons learned into the existing frameworks. They analyzed Done's framework for service supply chain, Yi Jiabin's framework for manufacturing supply chain, Mehta's framework for global software supply chain.…”

Section: Kw Frameworkmentioning

confidence: 99%

“…They analyzed Done's framework for service supply chain, Yi Jiabin's framework for manufacturing supply chain, Mehta's framework for global software supply chain. Baydoun and El-Den [44] then proposed a knowledge-based framework for the SSSC, including three processes: project administration, internal development, and external implementation. Based on the testing analysis of the identification of knowledge source, KM process, knowledge retention, and knowledge retrieval, they demonstrated the applicability of the proposed framework.…”

Section: Kw Frameworkmentioning

confidence: 99%

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Framework for Developing a Knowledge Warehouse Towards a Resilient Semiconductor Assembly and Testing Firm

et al. 2022

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Resilience emphasizes the recovery capability of a firm after an event of disruption. This paper proposes a framework in constructing a knowledge warehouse (KW) to increase a semiconductor assembly and testing firm's resilience by using a backcasting approach, which consists of four steps to form the development cycles. In each cycle, the goal for moving towards resilience is set up. The second step is to identify the baseline problems. Several potential paths to reach the goal from the baseline are then analyzed. Finally, a proper path supporting the performance of specific activities (plan) is selected and further added to the KW. Therefore, any possible conflict caused from bringing in new knowledge to the existing KW should be examined and resolved. The KW is augmented through cycles. Two case studies (Earthquake and typhoon disruptions) are used to demonstrate the applicability of the proposed framework. Furthermore, discussions also refer to how Nissan and Renesas responded to a 9.0 earthquake in 2011 and to a world-class major provider of semiconductor assembly and testing services in developing its KW. At the end, several recommendations have been made for firms to prepare for resilience. Some related future research topics are also proposed.INDEX TERMS Supply chain resilience, semiconductor, knowledge warehouse, backcasting, case study.

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Section: Kw Frameworkmentioning

confidence: 99%

Section: Kw Frameworkmentioning

confidence: 99%

Framework for Developing a Knowledge Warehouse Towards a Resilient Semiconductor Assembly and Testing Firm

et al. 2022

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“…This framework forms the basis for the proposed software in this paper. Furthermore, in 2017, the authors took their research further and conducted a comparative analysis with existing frameworks to test the efficiency of the SSSC framework [2]. Their research found that the SSSC framework adds value to the existing research and could be adopted by SC participants as a practical knowledge-based framework [2].…”

mentioning

confidence: 99%

“…Furthermore, in 2017, the authors took their research further and conducted a comparative analysis with existing frameworks to test the efficiency of the SSSC framework [2]. Their research found that the SSSC framework adds value to the existing research and could be adopted by SC participants as a practical knowledge-based framework [2]. Their study tested the efficiency and functionality of the proposed SSSC framework, which forms the basis of the proposed software of this paper.…”

mentioning

confidence: 99%

“…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]. 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].…”

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confidence: 99%

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A Well-Developed Software to Integrate Knowledge Management Processes Into the Supply Chain Phases

Baydoun¹,

Ahmad²

2021

IJEAST

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t— The paper introduces a new software called Software Service Supply Chain Knowledge Base CLOUD (SSSC KB CLOUD). The software provides a novel solution for knowledge capture and sharing during the development of the clients’ software projects. The main aim of this software is to facilitate sharing, transferring, retrieving, and retaining of knowledge among the experts’ group who are engaged in the different phases of the software development process. The software also provides a comprehensive management tool for daily work and tasks. It provides functions and abilities to ensure effective communication, search, and knowledge retrieval. In addition, the proposed software forms the group of experts who will complete and work on the new project and provides a mechanism to perform monitoring, reporting, tracking, and knowledge mining. The research also conducts quantitative testing to confirm the software’s functionality and efficiency; a questionnaire was welldeveloped and distributed among users in two different settings: three universities and a software company, then data was collected, and results were verified on whether the software improved the overall business productivity and knowledge externalization.

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

Baydoun¹,

Ahmad²

2021

IJEAST

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— 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 knowledge during the developmental process of Software Service Supply Chain (SSSC). Also, it explores the main technical components of the SSSC KB CLOUD and shows how these components integrate and work together to achieve the main aims of SSSC KB CLOUD. The proposed framework shows the life cycle of knowledge in SSSC. It highlights the source of knowledge in SSSC and how it passes the SSSC KM process for sorting and refining. Then, it suggests a SSSC KB CLOUD framework to store and manipulate this knowledge. Finally, it provides the SSSC experts with an interface to access and retrieve knowledge from the SSSC KB CLOUD. The SSSC KB CLOUD consists of four components: Knowledge Cloud Management System (KCMS), Prior Projects Knowledge Marts (PPKM), Experts’ Base (EB), and SSSC Group Formation CLOUD. KCMS provides a management system of SSSC KB CLOUD, while, PPKM is considered a knowledge repository of the knowledge captured during the development of projects, it also stores and holds all the retained SSSC knowledge. Moreover, EB stores and holds the SSSC experts’ details, including the area of expertise, experience, education, etc. Thus, SSSC KB CLOUD holds the experts’ details and records in its EB. Given the previously mentioned components, the SSSC KB CLOUD framework suggests SSSC group formation CLOUD, a new functionality of forming a new SSSC experts’ group to work and complete the new client project.

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A Framework for Knowledge Based Software Service Supply Chain (SSSC): A Comparative Analysis with Existing Frameworks

Cited by 3 publications

References 11 publications

Framework for Developing a Knowledge Warehouse Towards a Resilient Semiconductor Assembly and Testing Firm

Framework for Developing a Knowledge Warehouse Towards a Resilient Semiconductor Assembly and Testing Firm

A Well-Developed Software to Integrate Knowledge Management Processes Into the Supply Chain Phases

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

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