Applicability of Environmental Scanning Systems: A Systematic List Approach to Requirements Criteria

Stefan Bischoff (), Jörg H. Mayer (), Timm Weitzel () and Reiner Quick ()
Additional contact information
Stefan Bischoff: University of St. Gallen
Jörg H. Mayer: University of St. Gallen
Timm Weitzel: Darmstadt University of Technology
Reiner Quick: Darmstadt University of Technology

A chapter in Business Intelligence for New-Generation Managers, 2015, pp 41-49 from Springer

Abstract: Abstract The increasing volatility of their companies’ environment is a growing concern for executives. Environmental scanning systems should enable them to focus earlier on emerging threats and opportunities. A lack of applicability means that concepts often go unused in practice. But what does applicability mean for environmental scanning systems design? Adhering to the design science paradigm, this article contributes to better information systems (IS) design by developing a systematic list approach to requirements criteria that specify the applicability of environmental scanning systems. The criteria are derived from the principle of economic efficiency, use findings from the absorptive capacity theory, and can be applied to both evaluate existing environmental scanning systems and develop a new, more applicable generation. The findings should also be applicable to other IS domains.

Keywords: Information systems (IS) analysis and design; Environmental scanning systems; Requirement analysis; Principle of economic efficiency; Absorptive capacity theory (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-15696-5_4

Ordering information: This item can be ordered from
http://www.springer.com/9783319156965

DOI: 10.1007/978-3-319-15696-5_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().