TY - JOUR
T1 - Measuring the future
T2 - Statistics and the information age
AU - Miles, Ian
N1 - Funding Information:
tan Miles, a member of the editorial board of Futures, is at PREST, University of Manchester, Mathematics Tower, Oxford Road, Manchester Ml3 9PL, UK. This article is a revision (July 1991) of a paper presented at ‘New technologies, institutional changes and working life’, International Seminar at Holmenkollen, Oslo, Norway, June 1990. Much of the work described here was funded by the UK ESRC’s PICT programme.
Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 1991/11
Y1 - 1991/11
N2 - If the information age is to be more than a slogan, we need to address the issue of how to measure its emergence, and how to assess developments within it. This may well pose challenges to our existing statistics-,since structural change can render established definitions and frameworks inadequate. So far, most discussion of this issue has been conducted within a tradition of counting up the 'information workforce'. This article argues for a different approach, focusing on the generation, diffusion and application of new information technology (IT). It considers how far available statistics can be used to throw light on IT-related developments, provides some examples of what these data tell us about possible future developments, and examines the implications for the future of statistical frameworks and statistical analysis itself.
AB - If the information age is to be more than a slogan, we need to address the issue of how to measure its emergence, and how to assess developments within it. This may well pose challenges to our existing statistics-,since structural change can render established definitions and frameworks inadequate. So far, most discussion of this issue has been conducted within a tradition of counting up the 'information workforce'. This article argues for a different approach, focusing on the generation, diffusion and application of new information technology (IT). It considers how far available statistics can be used to throw light on IT-related developments, provides some examples of what these data tell us about possible future developments, and examines the implications for the future of statistical frameworks and statistical analysis itself.
UR - http://www.scopus.com/inward/record.url?scp=0006944417&partnerID=8YFLogxK
U2 - 10.1016/0016-3287(91)90040-9
DO - 10.1016/0016-3287(91)90040-9
M3 - Article
AN - SCOPUS:0006944417
SN - 0016-3287
VL - 23
SP - 915
EP - 934
JO - Futures
JF - Futures
IS - 9
ER -