The Impact of Technology Insertion on Organisations
The Impact of Technology Insertion on Organisations
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 />
6 <str<strong>on</strong>g>Impact</str<strong>on</strong>g>s <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>Technology</str<strong>on</strong>g> <strong>on</strong> the Organisati<strong>on</strong><br />
In additi<strong>on</strong> to the risk <str<strong>on</strong>g>of</str<strong>on</strong>g> failure and <str<strong>on</strong>g>of</str<strong>on</strong>g> overrun budgets and timescales, the impact that<br />
technology has up<strong>on</strong> organisati<strong>on</strong>s c<strong>on</strong>tinues <strong>on</strong>ce the technology has been introduced.<br />
This secti<strong>on</strong> seeks to summarise the various impacts that occur as well as the theoretical<br />
c<strong>on</strong>cepts surrounding technology and the organisati<strong>on</strong>. <str<strong>on</strong>g>The</str<strong>on</strong>g> impact <str<strong>on</strong>g>of</str<strong>on</strong>g> technology <strong>on</strong><br />
organisati<strong>on</strong>s is a heavily studied subject and includes the domains <str<strong>on</strong>g>of</str<strong>on</strong>g> organisati<strong>on</strong>al and<br />
management science, change management, socio-technical systems, computer science,<br />
human factors and many others besides.<br />
An exercise in the book ‘Human Computer Interacti<strong>on</strong>’ [106] asks the reader to ‘spend a<br />
couple <str<strong>on</strong>g>of</str<strong>on</strong>g> minutes writing the advantages that you think computers have provided to<br />
people and organisati<strong>on</strong>s . . . then write a sec<strong>on</strong>d list <str<strong>on</strong>g>of</str<strong>on</strong>g> the various problems that<br />
computerisati<strong>on</strong> has brought’. <str<strong>on</strong>g>The</str<strong>on</strong>g> author then goes <strong>on</strong> to c<strong>on</strong>clude ‘Both lists are<br />
endless’. If this is the case for the impact <str<strong>on</strong>g>of</str<strong>on</strong>g> computers, it is certainly true <str<strong>on</strong>g>of</str<strong>on</strong>g> the impact<br />
that technologies can have up<strong>on</strong> organisati<strong>on</strong>s.<br />
In the following secti<strong>on</strong> the key impacts that technology has had up<strong>on</strong> organisati<strong>on</strong>s are<br />
summarised. <str<strong>on</strong>g>The</str<strong>on</strong>g> list is by no means complete, as there are simply too many facets to<br />
cover in any scoping study; however, the intenti<strong>on</strong> is to give an overview <str<strong>on</strong>g>of</str<strong>on</strong>g> some <str<strong>on</strong>g>of</str<strong>on</strong>g> the<br />
key issues impacting <strong>on</strong> organisati<strong>on</strong>s.<br />
6.1 Performance and Productivity<br />
Despite the fact that many organisati<strong>on</strong>s invest in informati<strong>on</strong> technology in order to<br />
reduce costs and to increase productivity, there is c<strong>on</strong>siderable debate in the literature<br />
over whether such outcomes have been delivered. <str<strong>on</strong>g>The</str<strong>on</strong>g>re has been much discussi<strong>on</strong> over<br />
whether a ‘productivity paradox’ exists, especially regarding the amount <str<strong>on</strong>g>of</str<strong>on</strong>g> productivity<br />
delivered by informati<strong>on</strong> technology (IT). This paradox has been used to describe the<br />
evidence suggesting that despite heavy investment in IT for many years, the rate <str<strong>on</strong>g>of</str<strong>on</strong>g><br />
measured productivity growth has failed to increase, and may have even decreased. Lehr<br />
and Lichtenberg [107] argue that ‘since productivity is defined as output per unit <str<strong>on</strong>g>of</str<strong>on</strong>g> input,<br />
and computers are an input, we should start by asking under what c<strong>on</strong>diti<strong>on</strong>s <strong>on</strong>e would<br />
expect growth in computer intensity to raise productivity’.<br />
Evidence also suggests that it costs a lot <str<strong>on</strong>g>of</str<strong>on</strong>g> m<strong>on</strong>ey to rapidly and successfully integrate<br />
new s<str<strong>on</strong>g>of</str<strong>on</strong>g>tware systems. In 1999, Berger [108] found that Micros<str<strong>on</strong>g>of</str<strong>on</strong>g>t spent $16,000 per<br />
annum for each <str<strong>on</strong>g>of</str<strong>on</strong>g> its workstati<strong>on</strong>s <strong>on</strong> maintenance and upgrading. Supporters <str<strong>on</strong>g>of</str<strong>on</strong>g> the<br />
productivity paradox view claim that trying to transform the way work is d<strong>on</strong>e and<br />
simultaneously save m<strong>on</strong>ey is ‘usually a mistake’. In 1990, the famous ec<strong>on</strong>omist Robert<br />
Solow [109] stoked the debate further by saying that ‘We see computers everywhere<br />
except in the productivity statistics’.<br />
Despite this, there is evidence to support the counter argument that new technologies,<br />
including computers and s<str<strong>on</strong>g>of</str<strong>on</strong>g>tware do improve productivity.<br />
According to Strassman [110] ‘most businesses well endowed with IT lose about $5000<br />
per year per workstati<strong>on</strong> as a result <str<strong>on</strong>g>of</str<strong>on</strong>g> the need for futzing’. Futzing refers to ‘the time<br />
users spend in a befuddled state while clearing up unexplained happenings and<br />
overcoming the c<strong>on</strong>fusi<strong>on</strong> and panic when computers produce enigmatic messages that<br />
stop work’.<br />
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