• No se han encontrado resultados

Estándares de desarrollo

In document DOCUMENTO DE ARQUITECTURA DE SOFTWARE (página 25-49)

2.11 Herramientas de desarrollo

2.11.1 Estándares de desarrollo

inferences  and  insights  emerge  that  guide  the  research  in  its  search  for  theory   and  for  future  lines  of  enquiry  and  data  collection.  

The  commonly  conveyed  objectives  that  emerged  from  the  interviews  included   contributing  to  indigenous  knowledge  generation  and  making  research  

accessible  to  millions  of  young  people,  a  highly  complex  undertaking,  as  advised   by  the  key  informants  and  by  published  research  such  as  Gupta  and  Gupta   (2012).  The  Indian  transition  to  research  activeness  and  intensiveness  is  being   pursued  through  a  mixture  of  strategies,  some  of  which  have  similarities  with   those  encountered  in  the  literature  from  more  advanced  knowledge  economies,   while  some  strategies  such  as  the  rapid  establishment  of  large  numbers  of   universities  and  other  higher  education  institutions,  the  introduction  of  

extraordinary  funding  for  research  and  personal  research  incentives  are  novel.  In   the  process  of  reviewing  the  data,  three  main  categories  of  data  can  be  induced,   namely  (i)  responses  to  research  complexity  (coded  as  research  actors,  research   oriented  institutions)  (ii)  fostering  research  despite  adversity  (coded  as  research   values  and  value)  and  (iii)  the  challenges  of  attracting  research  resources  (coded  as   research  resources).  

   

4.9.1  Complexity  of  research  production  at  universities  in  India  

Analysis  of  the  data  in  this  exploratory  review  of  India’s  central  universities,   technology  and  management  institutes,  and  higher  education  governance  bodies   reveal  that  these  institutions  have  made  explicit  their  objectives  to  increase   research  activeness  (a  continuous  cycle  of  research  production  and  publication)   and  for  some  central  universities  to  build  research  intensiveness  (establishing   new  fields  of  enquiry  and  research  in  new  multi-­‐‑disciplinary  fields,  patenting,   and  publication  in  high  impact  international  journals).    

 

The  data  further  reveals  that  high  levels  of  complexity  are  present  in  the   research-­‐‑based  actions  and  interactions  of  scientists  with  each  other,  and   scientists  with  university  management.  Such  complexity  includes  the  

requirement  to  increase  research  performance  under  conditions  where  there  is   high  demand  for  teaching  and  postgraduate  supervision;  the  challenges  of  

building  multi-­‐‑disciplinary  and  inter-­‐‑disciplinary  research  under  human  and   knowledge  capacity  constraints;  the  limited  attractiveness  of  the  university  sector   as  a  career;  and  the  major  change  in  academic  values  required  in  terms  of  the   policy  recommendations  of  the  NKC  related  to  research  performance  and   commercialisation  of  research.  While  relationships  do  exist  between  universities   and  industry,  the  university-­‐‑industry  interface  appears  to  be  a  confusing  

landscape  with  lack  of  clarity  on  the  best  form  of  future  relationships  that  will   permit  innovation  from  research  while  maintaining  the  academic  freedom  of   universities.  

 

Many  measures  to  encourage  research  activeness  are  at  an  early  stage  of   adoption,  such  as  access  to  e-­‐‑journals  and  electronic  educational  resources,   building  postgraduate  programmes  as  foundations  for  multi-­‐‑disciplinary   research,  and  measures  to  foster  a  significant  increase  in  the  number  of  

publications  in  top  quartile  academic  journals  and  other  journals  per  thousand   inhabitants.  Yet  other  measures  have  not  gone  beyond  the  single  instance,  for   example  the  establishment  of  the  research  university  as  a  post-­‐‑graduate  only   institution,  enabling  a  dedicated  focus  on  research  productivity.  Furthermore,  the   inference  can  be  drawn  that  complex  challenges  such  as  patenting  of  novel  

discoveries,  technology  transfer,  commercialisation  of  research  and  socialisation   of  knowledge  produced  in  universities  will  require  attention  to  the  formulation   and  adoption  of  specific  strategies  at  institutional  and  system  levels,  in  addition   to  the  pioneering  behaviour  of  scientists.    

 

From  a  knowledge  economy  perspective,  access  to  postgraduate  study  is  an   important  objective,  since  it  is  only  with  large  numbers  of  young  people  

participating  in  university-­‐‑based  research  and  in  the  broader  national  system  of   innovation,  that  emerging  economies  can  meet  their  scientific  knowledge  needs   for  economic  and  societal  development.      

This  discussion  of  the  presence  and  particular  elements  of  complexity  in   pursuing  university  research  activeness  guides  the  thesis  research  to  the  next   stage,  as  understanding  this  particular  form  of  complexity  requires  more  in-­‐‑ depth  study  with  respect  to  the  behaviour  of  scientists  and  university  managers,   as  well  as  the  strategies  and  values  that  provide  the  landscape  for  university   research.  

 

4.9.2  Researchers  and  scientists  become  highly  functioning  beings  in     circumstances  of  adversity  

The  most  influential  data  from  this  review  of  Indian  higher  education  was  the   initiatives  taken  by  university  scientists  to  pursue  their  own  research  

programmes,  to  attract  research  funding  during  a  period  when  government  was   not  investing  in  university-­‐‑based  research,  to  create  research  centres  dedicated  to   a  particular  social  or  scientific  thematic  field.  This  phenomenon  of  pushing   through  adversity  for  those  scientists  who  chose  to  build  their  research  brand   and  make  university-­‐‑based  research  a  reality  raises  interest  in  understanding   how  scientists  pursued  their  objectives  to  a  point  where  the  objectives  set  were   achieved,  either  in  whole  or  in  part.  For  example,  over  several  decades,  the   endeavour  of  scientists  to  attract  local  and  international  research  funding  led  to   real  research  production  in  universities,  which  indirectly  influenced  the  findings   and  recommendations  of  the  NKC  encouraging  government  financing  of  

university  research,  and  the  decision  by  government  to  introduce  extraordinary   funding  for  research  at  several  billion  Indian  rupees.  The  competition  for  access   to  research  resources  illustrates  a  high  level  of  interest  in  research  and  innovation   across  disciplinary  boundaries.    

 

The  insights  for  theory  building  and  further  data  collection  set  out  in  this  section   point  to  the  need  to  explore  and  discover  the  dimensions  pertaining  to  why   universities  provide  some  exemplar  cases  for  increasing  research  activeness  and   breaking  the  boundaries  of  existing  knowledge.  This  line  of  enquiry  was  pursued  

in  the  in-­‐‑depth  case  studies  conducted  in  South  Africa  with  the  aim  to  better   understand  the  nature  of  complexity  and  adversity  in  the  pursuance  of  university   research  activeness  and  the  underlying  reasons  for  gaining  ground  against  such   complexity  and  adversity.  

Chapter  5   Case  study  university:  Research  sub-­‐‑system  overview:  

In document DOCUMENTO DE ARQUITECTURA DE SOFTWARE (página 25-49)

Documento similar