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Increasing Broadband Internet Penetration

In the OIC Member Countries

19

informational occupations and the adoption of technology to improve their productivity at the

macroeconomic level. This causal link is conceptually depicted in figure 4.

Figure 4: Causality Model: ICT innovation and diffusion is driven by the growth of

information workforce

Source: Jonscher (1982); Telecom Advisory Services analysis

According to this causality framework, economic growth logically leads to increasing complex

production processes. In turn, complexity in production processes results in increasing the

functional complexity within firms (e.g. more inputs to be combined, more steps to be

scheduled in a timely manner, more interactions occurring with suppliers of raw materials and

with buyers of the end product). The first response of economic organizations to this effect is

the creation of “information workers”—laborers whose primary function is the manipulation

of information for purposes of organizing the production of goods. At some point, however,

information processing workers become a bottleneck in the economic system. They cannot

grow forever because this process reduces the overall availability of resources in other

occupations. Furthermore, when information workers become a large proportion of the

workforce, the complexity of information processing becomes a bottleneck itself. In other

words, there is a limit to the possibility of manually storing, transferring and processing the

growing amounts of information. This is where information and communication technologies

come in. Their development and adoption is aimed at increasing the productivity of

information workers and addressing this bottleneck. The availability of computing and

communications allows firms (and their information workers) to be more productive in their

manipulation of information. Broadband is a specific component performing this important

productivity enhancement.

For example, research on the impact of broadband on productivity has successfully identified

positive effects. For example, Waverman et al. (2009) determined the economic effect of

broadband on the GDP of 15 OECD countries for the time period of 1980 to 2007. These

included 14 European and the United States. By relying on an augmented production function

derived from Waverman et al. (2005), the authors specified two models: a production function

ECONOMIC

DEVELOPMENT

WORKFORCE

SPECIALIZATION

GROWTH OF

INFORMATION

WORKFORCE

NEED TO ADOPT ICT

TO INCREASE

PRODUCTIVITY OF

INFORMATION

WORKERS

Reduction of

uncertainty in

information

handling

Increasing

complexity

of

production

processes

At some point, the

information

workforce becomes

a bottleneck in the

system of

production

Productivity

increase (first

effect)

Productivity

increase

(second effect)