Knowledge management in optical networks: architecture, methods, and use cases [Invited]

This chapter will provide insights into the positioning and manifestation of knowledge management in a digital native enterprise. The findings of the literature review will be enhanced with the findings from three use cases reflecting on the infliction point between knowledge management and work performed in the digital native enterprise. The aforementioned will enable early insights into the role and contribution of knowledge management in an ecosystem where people and devices are seamlessly connected and strategic decisions are needed in respect of the positioning and manifestation of knowledge management, as well as the skillfulness required by knowledge managers within the construct of the digital native enterprise.

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A Cooperative Design Method for SMEs to Adopt New Technologies for Knowledge Management: A Multiple Case Study

JUCS - Journal of Universal Computer Science ◽

10.3897/jucs.2020.062 ◽

2020 ◽

Vol 26 (9) ◽

pp. 1189-1212

Author(s):

Angela Fessl ◽

Viktoria Pammer-Schindler ◽

Kai Pata ◽

Sandra Feyertag ◽

Mati Mõttus ◽

...

Keyword(s):

Knowledge Management ◽

Activity Theory ◽

New Technologies ◽

Design Method ◽

Use Cases ◽

Design Stage ◽

Cooperative Design ◽

Novel Technologies ◽

Design Paradigm ◽

Adoption And Diffusion

This paper presents cooperative design as method to address the needs of SMEs to gain sufficient knowledge about new technologies in order for them to decide about adoption for knowledge management. We developed and refined a cooperative design method iteratively over nine use cases. In each use case, the goal was to match the SME's knowledge management needs with offerings of new (to the SMEs) technologies. Where traditionally, innovation adoption and diffusion literature assume new knowledge to be transferred from knowledgeable stakeholders to less knowledgeable stakeholders, our method is built on cooperative design. In this, the relevant knowledge is constructed by the SMEs who wish to decide upon the adoption of novel technologies through the cooperative design process. The presented method is constituted of an analysis stage based on activity theory and a design stage based on paper prototyping and design workshops. In all nine cases, our method led to a good understanding a) of the domain by researchers - validated by the creation of meaningful first-version paper prototypes and b) of new technologies - validated by meaningful input to design and plausible assessment of technologies' benefit for the respective SME. Practitioners and researchers alike are invited to use the here documented tools to cooperatively match the domain needs of practitioners with the offerings of new technologies. The value of our work lies in providing a concrete implementation of the cooperative design paradigm that is based on an established theory (activity theory) for work analysis and established tools of cooperative design (paper prototypes and design workshops as media of communication); and a discussion based on nine heterogeneous use cases.

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TransLambda: A Multi-Band Transmission System and its Realization, Practical Applications and Use Cases in Optical Networks

Optical Fiber Communication Conference (OFC) 2020 ◽

10.1364/ofc.2020.m2g.6 ◽

2020 ◽

Author(s):

Muhammad S. Sarwar ◽

Takeshi Sakamoto ◽

Tomoyuki Kato ◽

Takeshi Hoshida

Keyword(s):

Optical Networks ◽

Transmission System ◽

Use Cases ◽

Practical Applications ◽

Multi Band

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AI-enabled knowledge sharing and learning: redesigning roles and processes

International Journal of Organizational Analysis ◽

10.1108/ijoa-12-2020-2558 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Shankar Sundaresan ◽

Zuopeng Zhang

Keyword(s):

Knowledge Management ◽

Knowledge Sharing ◽

Knowledge Workers ◽

Use Cases ◽

Three Dimensions ◽

Management Systems ◽

Single Type ◽

Knowledge Management Systems ◽

Content Type ◽

The Impact

Purpose This paper aims to investigate the role of AI in facilitating knowledge sharing and learning in organizations and the redesign of AI-enabled knowledge workers’ roles and processes. Design/methodology/approach This paper develops a framework for analyzing AI’s role in different knowledge management activities, explores the impact of AI in transforming knowledge workers’ roles and processes in knowledge sharing and learning and presents recommendations for tailored AI-enabled knowledge management systems for modern knowledge worker environments. Findings The authors synthesize the elements from different parts of the relevant literature and develop a unified framework consisting of three dimensions of AI systems, three knowledge management (KM) activities and two types of AI–human interactions. Based on this framework, the authors summarize the primary use cases supported by AI-enabled knowledge management systems (KMS) and compare them with the traditional KMS use cases. The authors find that a single type of AI system is insufficient to support the increasingly complex nature of knowledge workers’ activities, manifested in three dimensions – process, engagement and content; a tailored AI system should be developed to support knowledge workers in their unique roles and processes. Originality/value With the growing interest in AI and its applications to KM, this research provides managerial insights for practitioners to effectively adopt AI in managing knowledge assets in organizations.

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