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Erschienen in: Information Systems Frontiers 5/2013

01.11.2013

Investments in information systems: A contribution towards sustainability

verfasst von: Michael Hertel, Julia Wiesent

Erschienen in: Information Systems Frontiers | Ausgabe 5/2013

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Abstract

Empirical research has determined that information systems (IS) can abate far more emissions than they produce. By using its transformative power, Green IS can build energy efficiency along the entire business value chain and thus contribute to sustainable development that goes well beyond that of Green Information Technology (Green IT). However, from a business perspective there is still prevailing uncertainty with regard to the economic viability and optimal extent of Green IS investments. In this paper, we conceptualize a decision model for an IS investment that increases a company’s energy efficiency. We analyze and compare the costs associated with the investment and the realized energy cost savings. Furthermore, we examine the influence of fluctuating energy prices on investment decisions. By integrating risk and return into one decision calculus, we determine an optimal degree of investment, which avoids over-investment while promoting energy efficiency, and therefore establishes the long-term coherence of economic and environmental sustainability. Finally, we demonstrate that reduced exposure to risky energy prices results in comparatively larger investments, thereby implying a higher optimal investment degree, assuming the involvement of risk-averse decision-makers.

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Fußnoten
1
Sustainability can be defined as the triple bottom line of economic, social, and environmental performance (Porter and Kramer 2006, p. 82). In this paper, we confine ourselves to addressing the economic and environmental impact of IS.
 
2
In the following text, we consider IT to be a proper subset of the general term IS.
 
3
For matters of modeling and without loss of generality, we abstain from a more realistic discrete range of project sizes.
 
4
\( {\sigma_n}=\sqrt{{\mathop{\sum}\limits_{i=1}^n\sigma_i^2+\mathop{\sum}\limits_{i=1}^n\mathop{\sum}\limits_{j=1}^n{\rho_{ij }}{\sigma_i}{\sigma_j}}} \) is the equation for calculating the overall standard deviation. As the reduced energy price fluctuations \( {{\widetilde{X}}_t} \) are stochastically independent, \( \sigma \left( {{{{\widetilde{X}}}_t}} \right) \) can be added up for all time periods t without taking into account the correlations ρ ij .
 
5
This can be shown by comparing and q*: The difference between the two equations originates from \( R{{\widetilde{C}}_T} \), which is only considered in the equation for q*. Since \( R{{\widetilde{C}}_T} > 0 \) for all possible values and α > 0, q* ≥  holds.
 
6
In order to indicate the decision-maker’s risk aversion, the risk averse parameter is chosen in such a manner that the risk is weighted twice compared to the expected return.
 
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Metadaten
Titel
Investments in information systems: A contribution towards sustainability
verfasst von
Michael Hertel
Julia Wiesent
Publikationsdatum
01.11.2013
Verlag
Springer US
Erschienen in
Information Systems Frontiers / Ausgabe 5/2013
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-013-9417-x

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