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The Impact of Technology Insertion on Organisations

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HFIDTC/2/12.2.1/1<br />

Versi<strong>on</strong> 3 / 21 November 2007<br />

7.1.2 <str<strong>on</strong>g>Technology</str<strong>on</strong>g> Led <str<strong>on</strong>g>The</str<strong>on</strong>g>ories<br />

One <str<strong>on</strong>g>of</str<strong>on</strong>g> the most influential technology led models, the ‘technological imperative’ model<br />

examines the impact <str<strong>on</strong>g>of</str<strong>on</strong>g> a technology up<strong>on</strong> organisati<strong>on</strong>al dimensi<strong>on</strong>s such as structure,<br />

size, performance, degree <str<strong>on</strong>g>of</str<strong>on</strong>g> centralisati<strong>on</strong> as well as dimensi<strong>on</strong>s such as job satisfacti<strong>on</strong>,<br />

task complexity, skill levels and productivity. This model states that technology exerts an<br />

independent, uni-directi<strong>on</strong>al and causal influence over humans and organisati<strong>on</strong>s similar<br />

in nature to the laws <str<strong>on</strong>g>of</str<strong>on</strong>g> physical sciences [141]. Some technology led theories argue that<br />

society itself is entirely determined by technology: ‘new technologies transform society<br />

at every level, including instituti<strong>on</strong>s, social interacti<strong>on</strong> and individuals. Technological<br />

determinism is a school <str<strong>on</strong>g>of</str<strong>on</strong>g> thought believing that technology is the single most important<br />

factor in determining the success <str<strong>on</strong>g>of</str<strong>on</strong>g> an organisati<strong>on</strong>’ [142]. This approach has also been<br />

known, in ec<strong>on</strong>omics and elsewhere, as ‘technology push’. It asserts that investing in the<br />

latest technology is the <strong>on</strong>ly way for an organisati<strong>on</strong> to survive and noti<strong>on</strong>s such as<br />

‘automate or liquidate’ and the fear <str<strong>on</strong>g>of</str<strong>on</strong>g> being ‘left behind’ are examples <str<strong>on</strong>g>of</str<strong>on</strong>g> this approach.<br />

In this body <str<strong>on</strong>g>of</str<strong>on</strong>g> work, studies <str<strong>on</strong>g>of</str<strong>on</strong>g> technology and informati<strong>on</strong> technology examine the<br />

impacts <str<strong>on</strong>g>of</str<strong>on</strong>g> technology <strong>on</strong> organisati<strong>on</strong>al dimensi<strong>on</strong>s such as structure, size, performance,<br />

and centralisati<strong>on</strong>/decentralisati<strong>on</strong>, as well as individual level dimensi<strong>on</strong>s such as job<br />

satisfacti<strong>on</strong>, task complexity, skill levels, communicati<strong>on</strong> effectiveness, and productivity.<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g> premise is that the technology as well as the organisati<strong>on</strong>al and individual variables<br />

can be measured and predicted [124], [143], [144], [145], [146], [147], [148], [149],<br />

[150], [151], [152], [153]. It is worth noting that much <str<strong>on</strong>g>of</str<strong>on</strong>g> this research is now over 25<br />

years old.<br />

Such research treats technology as an independent influence <strong>on</strong> human behaviour or<br />

organisati<strong>on</strong>al properties that exerts unidirecti<strong>on</strong>al influence over humans and<br />

organisati<strong>on</strong>s, similar to those operating in nature [154]. While providing insight into the<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g>ten determining aspects <str<strong>on</strong>g>of</str<strong>on</strong>g> technology, this body <str<strong>on</strong>g>of</str<strong>on</strong>g> research largely ignores the acti<strong>on</strong><br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> humans in developing, appropriating, and changing technology. Some <str<strong>on</strong>g>of</str<strong>on</strong>g> the more<br />

recent research, [155], [156], allows for the influence <str<strong>on</strong>g>of</str<strong>on</strong>g> technology to be moderated by<br />

c<strong>on</strong>textual variables, proposing a c<strong>on</strong>tingency model <str<strong>on</strong>g>of</str<strong>on</strong>g> technology’s effects. <str<strong>on</strong>g>The</str<strong>on</strong>g><br />

technological imperative model is illustrated in Figure 4.<br />

Figure 4: Technological Imperative Model (from Orlikowski 1991)<br />

Technological determinism stands in oppositi<strong>on</strong> to the theory <str<strong>on</strong>g>of</str<strong>on</strong>g> the social c<strong>on</strong>structi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

technology, which suggests that both the path <str<strong>on</strong>g>of</str<strong>on</strong>g> innovati<strong>on</strong> and the c<strong>on</strong>sequences <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

technology for humans are str<strong>on</strong>gly if not entirely shaped by society itself, through the<br />

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