KH generation_V2

KH generation_V2

1. 1. Add meaning to data

   • discussion with actors implied required
     • Buyer-supplier proximity
     • goal: complete view of the product
     • product management = expertise nod
       • waste recycling
       • repair refurb reman
       • supplier
     • Need of good data loop
   • looking for correlation
     • -: connection of data sets
       • especially from testers to vendors
   • inferring statements
   • Discussion about the derived insights with concerned specialists to verify (iteration)
     • ext: with other actors of the same industry
   • influence of data granularity
   • send data to partners asking for insights (failures i.e)

2. factors sharing KH

   • int: open-atmosphere
   • int: quality management requirement
   • proximity
     • ext: collective intelligence through meetings
   • value chain
     • Product manager as a bridge
     • ext.: buyer power
     • ext.: + = product exclusivity
   • ext.: - = no structure

3. create KH about CE

   • int: collaboration CE - procurement
   • CE dep. = bridge
   • necessary to obtain to reach the target imposed
   • collab vendors
   • collab partners industry
     • New topic, no maturity yet
     • no single truth
     • discuss difficulties
     • +: pursue common goals

4. acquiring K

   • ext: + = CE legal requirement
   • ext: + = no competition
   • ex.: + = long-time relationship
   • ext.: collaboration with suppliers for plastics
   • int.: from departments regarding CE
     • review of templates
   • ext.: cooperation with research institution
   • ext. inquiries to industry partners
   • ext.: indirect acquisition: inquiry about other buyer of our supplier

5. transfering K

   • send K ext / educate .: need of insights from data
   • ext.: to customers for actions regarding EOL stategies
   • ext.: transfer from 1 supplier to another through product management

6. Need of different expertise

   • Collaboration / cooperation
   • +: translators