In Part I of this workshop, you will hear directly from the former Chief Knowledge Officer (CKO) of the DoN who will share the OL strategies and approaches that led to MAKE recognition.
In Part II, tools that you can immediately apply for results will be introduced and detailed. Effectively applied in and emerging from DoN successes, these tools empower decision-makers at all levels of the organization, directly impacting the quality of organizational decision-making. They fall into the areas of: Facilitating Knowledge Flows (example, Relationship Network Management); Before/During/After Action Learning (examples, Continuous Improvement Review and Interrupted Case Study); and Knowledge Capacities (examples, Shifting Frames of Reference and Engaging Tacit Knowledge).
In Part III, in the context of Organizational Learning and Knowledge Management, the speaker and the facilitator will open the floor and offer their expertise to help solve real-life problems in your organizations. Participants in the workshop are invited to hand in their issues of concern prior to the workshop (can be anonymous), or bring them up during the workshop as time permits.
Pilot Study of Apply Education AI Virtual Assistant in Groups’Wisdom Created and Shared Ecosystem—A Case Study on Education Learning as a Service(ELaaS)with mFHC Bank.
Full Paper Download,http://bit.ly/2DExgrh
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張大明 育睿科技 執行長
richard@abctech.pro
羅志傑 育睿科技 教務長
roger@abctech.pro
王詩帆 優睿亞科技 教學設計總監
shfan23@gmail.com
淡江大學守謙國際會議中心—2019學術研討會:AI在教育科技的應用與實踐。淡水校園。
Full paper-
https://www.researchgate.net/publication/332727759_Pilot_Study_of_Apply_Education_AI_Virtual_Assistant_in_Groups'Wisdom_Created_and_Shared_Ecosystem-A_Case_Study_on_Education_Learning_as_a_ServiceELaaSwith_mFHC_Bank
In Part I of this workshop, you will hear directly from the former Chief Knowledge Officer (CKO) of the DoN who will share the OL strategies and approaches that led to MAKE recognition.
In Part II, tools that you can immediately apply for results will be introduced and detailed. Effectively applied in and emerging from DoN successes, these tools empower decision-makers at all levels of the organization, directly impacting the quality of organizational decision-making. They fall into the areas of: Facilitating Knowledge Flows (example, Relationship Network Management); Before/During/After Action Learning (examples, Continuous Improvement Review and Interrupted Case Study); and Knowledge Capacities (examples, Shifting Frames of Reference and Engaging Tacit Knowledge).
In Part III, in the context of Organizational Learning and Knowledge Management, the speaker and the facilitator will open the floor and offer their expertise to help solve real-life problems in your organizations. Participants in the workshop are invited to hand in their issues of concern prior to the workshop (can be anonymous), or bring them up during the workshop as time permits.
Pilot Study of Apply Education AI Virtual Assistant in Groups’Wisdom Created and Shared Ecosystem—A Case Study on Education Learning as a Service(ELaaS)with mFHC Bank.
Full Paper Download,http://bit.ly/2DExgrh
---
張大明 育睿科技 執行長
richard@abctech.pro
羅志傑 育睿科技 教務長
roger@abctech.pro
王詩帆 優睿亞科技 教學設計總監
shfan23@gmail.com
淡江大學守謙國際會議中心—2019學術研討會:AI在教育科技的應用與實踐。淡水校園。
Full paper-
https://www.researchgate.net/publication/332727759_Pilot_Study_of_Apply_Education_AI_Virtual_Assistant_in_Groups'Wisdom_Created_and_Shared_Ecosystem-A_Case_Study_on_Education_Learning_as_a_ServiceELaaSwith_mFHC_Bank
Lessons learnt from nearly 200 cases of knowledge management journeys by hong...2016
The talk summarises the lessons learnt from nearly 200 cases of Knowledge Management journeys by Hong Kong and Asian enterprises. Much of the data is gained through the extensive number of student, consultancy and research projects carried out or supervised by KMIRC staff at private companies, non-profit social services organizations and government departments. The projects include KM readiness assessments, knowledge audit, strategy formulation, taxonomy design and maintenance, cultural assessment and organizational change, knowledge retention from near-retirees, requirements elicitation and selection of collaboration tools including portals, search engine assessments, configuration and continuous improvements, IC reporting and many more. The speaker will outline the challenges and their respective solutions, the theory-practice gap, as well as some easy “entry points” into KM.
This talk is an extended version of an award-winning presentation delivered at the recently held European Conference on Knowledge Management, Udine, Italy.
How to Harvest Knowledge Through “After Action Review”?2016
This workshop will cover the development history and evolution of After Action Review as well as different types of implementation models. Through the use of case studies and interactive exercise, application of this tool to support knowledge development and capturing will be illustrated. Management and governance issues associated with the deployment and operation of this knowledge capture tool in a corporate environment will also be studied.
「香港最受推崇知識型機構大獎」[Hong Kong Most Admired Knowledge Enterprise (MAKE) Award]是享負盛名的知識管理獎項,旨在鼓勵本地企業善用知識管理,將知識及無形資產轉化為企業的寶貴資源,並表揚企業有關的傑出成就。在企業推行知識管理,不但有助管理層作出更好的決策,而且能促進企業的學習文化建設、鼓勵組織創新和可持續增長。
推行知識管理除了為大型企業帶來效益外,其實也可幫助一些知識密集的中小型企業,包括資訊科技 、顧問、專業、服務業及依賴科技的製造業提升企業的無形資產, 減少員工流失所引致的影響。有見及此,香港理工大學知識管理及創新研究中心於去年推出香港最受推崇知識型中小企大獎 [Hong Kong MAKE Award (SME)],今年已是第二年,以鼓勵更多的中小企業推行知識管理。
Workshop on Knowledge-based Service Innovation2016
The world’s economy is increasingly service-based. More than 75% of GDP in the developed markets including Hong Kong are produced by services. Service innovation in both services and manufacturing sectors is shaping up as a significant transformational force in these developed economies. Accordingly, firms in developed markets are becoming service centered, and focused on enhancing the customer experience. Service centered firms often co-create value with their customers through the dynamic configuration of their people (knowledge), processes and technologies which, collectively, are known as organizational capabilities.
Hong Kong MAKE Award 2015 is open for application now! 2016
The MAKE Award is a prestigious global award, and it was launched in Hong Kong by the Knowledge Management and Innovation Research Centre (KMIRC) of The Hong Kong Polytechnic University in 2008. The purpose of this award is not just to acknowledge the commitment of companies and organisations in Knowledge Management (KM), but also to bring the public recognition to those organisations that have achieved outstanding performance in KM activities.
Seminar on winning recipes from best knowledge enterprises2016
The Global Most Admired Knowledge Enterprise (MAKE) Award is an international benchmark of best practice knowledge management. This prestigious international award was launched in 1998 and sought to recognize organizations which out-perform their peers in creating stakeholders values by practising knowledge management and intellectual capital management. The launch of the MAKE Award provides a platform for enterprises to benchmark their KM performance with organizations locally, regionally and globally. It also encourages local organizations to start their KM journey. Through participation, an organization needs to analyze its strengths and weaknesses against the eight assessment criteria and strives to make improvement. As a result, its productivity, competitiveness and sustainability can be enhanced.
The success stories of these awardees are invaluable for enterprises which aim to embark on a corporate KM journey, or continue to flourish from existing KM implementation.
Asian Knowledge Forum cum 2014 MAKE Award Presentation Ceremony 2016
We are glad to invite you to join our coming Asian Knowledge Forum cum MAKE Award Presentation Ceremony jointly organized by KMIRC and Hong Kong Productivity Council.
The event will be a 3 days event being held from 13-15 Jan 2015. It consists of
• One day Forum (13 Jan 2015)
• MAKE Award Presentation Ceremony held at Dinner Banquet (13 Jan 2015)
• Company Visits to KM companies in Hong Kong and Shenzhen (14 and 15 Jan 2015)
Cloud computing & big data for service innovation & learning2016
Cloud Computing and Big Data for Service Innovations & Learning
Up till now, most of the adoption of cloud computing focusses on the automation and consolidation of traditional IT services. As such, the gains are confined to the uniformity of control, cost reduction and better governance. Recent adoption of the cloud has gradually moved into tactical and even strategic levels thereby demonstrating a high level of gains for using the cloud for business transformations and innovations. Such benefits include dynamism in business model compositions and speed and ease in orchestrating service innovations in the cloud. This talk will shed light on how massive and rapid accumulation of data in the cloud can support human-machine cooperative problem solving and re-define the landscape of Open Innovation and Connectionist Learning via a Knowledge Cloud.