17th European Conference on Knowledge Management (ECKM) 2016 Belfast

The world econ­omy in which we are liv­ing poses chal­lenges that lead to a real­iza­tion that ‘more of the same’ will be dif­fi­cult to sus­tain. This pro­vides an illus­tra­tion that, in order to cre­ate new or mod­i­fied knowl­edge prac­tices, strengthen cus­tomer rela­tion­ships and thus pos­i­tively influ­ence cus­tomer sat­is­fac­tion, orga­ni­za­tions must be flex­i­ble in con­fig­ur­ing (com­bin­ing) knowl­edge and knowl­edge struc­tures in a way that is appro­pri­ate for deliv­er­ing value to the cus­tomer. It must simul­ta­ne­ously develop effec­tive strate­gies for updat­ing the knowl­edge of its staff mem­bers nec­es­sary for under­pin­ning the cre­ation and deliv­ery of appro­pri­ate knowl­edge ser­vices. Thus, unlearn­ing (for­get­ting) becomes a crit­i­cal means for orga­ni­za­tional success.

The ECKM com­mu­nity of schol­ars has already ini­ti­ated dia­logue that links its par­tic­u­lar strengths to inno­va­tion issues. This con­fer­ence aims to fur­ther that dia­logue by attract­ing lead­ing edge work that lever­ages the ECKM community’s in-​depth under­stand­ing of learn­ing and unlearn­ing to bet­ter under­stand knowl­edge man­age­ment. Our aim is to stim­u­late break­through research streams link­ing learn­ing, unlearn­ing and knowl­edge management.

How can orga­ni­za­tions tai­lor, use, and extend tech­niques and tools from knowl­edge man­age­ment for improv­ing their busi­ness prac­tices and processes? Build­ing upon exist­ing work on knowl­edge man­age­ment (KM) and orga­ni­za­tional learn­ing, the con­fer­ence will pro­mote inter­dis­ci­pli­nary approaches from com­puter sci­ence and infor­ma­tion sys­tems, busi­ness, man­age­ment and orga­ni­za­tion sci­ence as well as cog­ni­tive sci­ence. Empha­sis will be put on sys­tem­atic learn­ing from expe­ri­ence, KM tools and KM suc­cess fac­tors. A spe­cial inter­est belongs to knowl­edge man­age­ment ini­tia­tives which are light­weight (i.e., do not place con­sid­er­able addi­tional bur­den on users and KM experts), allow an incre­men­tal adop­tion (i.e., do not require large up-​front invest­ment before any return of invest­ment is at least vis­i­ble), and are flex­i­ble regard­ing fre­quent changes in experts and topics.

Con­tin­u­ing the suc­cess of the ECKM con­fer­ence series since 2000, the 2016 con­fer­ence will pro­vide an inter­na­tional com­mu­ni­ca­tion forum bring­ing together acad­e­mia and indus­try for dis­cussing the progress made and address­ing the chal­lenges faced by con­tin­u­ous learn­ing in knowledge-​intensive organizations.

The fun­da­men­tals of Knowl­edge Management

• Matu­rity models
• Strate­gies
• Suc­cess factors
• Process Knowl­edge
• Ontolo­gies and knowl­edge representation

Knowl­edge Man­age­ment in the organisation

• Bench­mark­ing of knowl­edge man­age­ment activities
• Change man­age­ment, KM in busi­ness transformation
• Com­mu­ni­ties of Practice
• Organ­i­sa­tional learning
• Tacit Knowl­edge in Organisations

Eval­u­a­tion and performance

• Knowl­edge and com­pe­tence eval­u­a­tion & assessment
• Mea­sure­ment and eval­u­a­tion of KM effectiveness
• Skill and com­pe­tence management

Knowl­edge Innovation

• Estab­lish­ing Inno­va­tion networks

Intel­lec­tual Capital

• Man­ag­ing intel­lec­tual capital
• Intel­lec­tual cap­i­tal in higher edu­ca­tion institutions

Knowl­edge Man­age­ment Systems

• Archi­tec­tures
• Con­fig­ur­ing and com­bin­ing knowl­edge structures
• Con­tent man­age­ment systems
• Frame­works
• Asset val­u­a­tion models
• Tacit knowl­edge cap­ture and dissemination

Knowl­edge Man­age­ment in Practice

• Case stud­ies and best practices
• KM in SME’s
• KM in the Pub­lic Sector
• KM in Project Management
• KM suc­cess sto­ries and failures
• The role of KM in eco­nomic recovery
• KM and Web 2.0
• National Knowl­edge Man­age­ment Styles

Knowl­edge Sharing

• Knowl­edge cre­ation and shar­ing mechanisms
• Knowl­edge shar­ing between dif­fer­ent groups and organizations

The knowl­edge economy

• Man­ag­ing ser­vices in the knowl­edge economy

Knowl­edge Dynamics

Knowl­edge Man­age­ment and Intel­lec­tual Cap­i­tal Excel­lence Awards

The appli­ca­tion of Knowl­edge Man­age­ment (KM) and Intel­lec­tual Cap­i­tal (IC) can lead to con­sid­er­able improve­ments in organ­i­sa­tional effi­ciency and effec­tive­ness, not to men­tion com­pet­i­tive advan­tage. How­ever, exam­ples of good prac­tice in the employ­ment of KM and/​or IC are not easy to find. For this rea­son we have decided to estab­lish a com­pe­ti­tion to find the best exam­ples of high qual­ity KM and IC in prac­tice. These exam­ples will be con­sid­ered through case his­to­ries and we wel­come con­tri­bu­tions from aca­d­e­mics, busi­ness pro­fes­sion­als and stu­dents. Exam­ples of the use of KM and/​or IC within a uni­ver­sity are also welcome.

To enter the com­pe­ti­tion we ask you in the first instance to sub­mit an abstract of up to 300 words using the online sub­mis­sion form describ­ing the work you wish to draw to our atten­tion to. If your pro­posal is suit­able we will invite you to sub­mit a full case his­tory of no more than 3000 words which will be con­sid­ered as an entry to the com­pe­ti­tion. A panel of inter­na­tional adju­di­ca­tors will eval­u­ate the case histories.

Down­load full details as PDF. Sub­mit an abstract.

Pub­li­ca­tion opportunity

Papers pre­sented at the con­fer­ence will be pub­lished in the con­fer­ence pro­ceed­ings, sub­ject to author reg­is­tra­tion and pay­ment. Papers that have been pre­sented at the con­fer­ence will be con­sid­ered for fur­ther devel­op­ment and pub­li­ca­tion in a spe­cial issue of the Elec­tronic Jour­nal of Knowl­edge Man­age­ment.

In addi­tion, papers that have been pre­sented at the con­fer­ence will be con­sid­ered for fur­ther devel­op­ment and pub­li­ca­tion in spe­cial issues of:

• Jour­nal of Knowl­edge Man­age­ment (Emer­ald, ISSN: 1367 – 3270)
• Inter­na­tional Jour­nal of Big Data Intel­li­gence (Inder­science ISSN: 2053−1397÷205−1389)
• Springer Jour­nal of the Knowl­edge Econ­omy (JKEC) (ISSN: 1868−7865÷1868−7873)