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Assessing
a complex, uncertain and disruptive technology landscape
Yves PIGNEUR, Professor, Université
de Lausanne, Switzerland
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Yves
Pigneur received his master in Informatics (1977) and his PhD (1984)
from the University of Namur (FUNDP).
He is currently professor of Information Systems, Head of the Information
Systems Department (INFORGE) and Adjunct Dean at the Business School
HEC Lausanne, University of Lausanne.
He had visiting position at the University of Lyon, University of
Namur, Hong Kong University of Sciences and Technology, Georgia
State University at Atlanta, the Naval Postgraduated School at Monterey,
l'Ecole Polytechnique Fédérale de Lausanne.
He is editor of " Système d'Information et Management
" and " Journal of Decision Systems ".
His research interest covers the following areas : design of information
systems, management of information technology, groupware, e-commerce,
ontology for e-business model, analyses of e-business.
He is author and co-author of numerous refereed publications in
theses areas.
He is co-author with F. Bodart of a book on conceptual modeling
of information systems (3rd edition).
He is consulting with entertainment company, bank, telecom operator,
computer manufacturer, retailing company, softwares houses, internet
start-ups. |
Yves.Pigneur@hec.unil.ch
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| Abstract |
Individual,
team, organizational, and inter-organizational information systems
have been largely investigated from many perspectives: engineering,
alignment, and evaluation. Information systems supporting environmental
scanning, strategic or competitive intelligence, and technology
assessment, which are of prime importance for organizations, are
much less investigated.
This paper aims at deriving a theoretical framework, from the properties
of an emerging technology landscape or battlefield. As currently
debated examples, consider the wireless and m-business industry,
the digital good distribution or e-commerce, and the software industry.
Such external environments are complex, uncertain and disruptive.
Complexity is mainly due to a large body of auto-organized stakeholders.
Uncertainty is because unpredictable dynamic futures with many open
issues. Disruptiveness means non continuous development and use
of technology, with inflection points (or substitute technology).
From a conceptual modeling or ontology point of view, based on these
three characteristics, we suggest three main concepts for modeling
an information systems dedicated to assessing such technological
environments, with their properties and relationships. For dealing
with complexity, "actors" are keys, with their stakeholder
positioning, networks of actors, and business models. For integrating
uncertainty, many kinds of "issues" should be taken into
consideration, which actors will try to influence and whose the
not so predictable evolution will dictate the possible futures.
For coping with disruptiveness, "use", application and
adoption, by the users, of the monitored technology have also to
be assessed. In this technology assessment context, "influence",
pressure, or power is the pertinent relationship between the 3 types
of concepts.
Finally, for assessing these three main perspectives, this paper
tries to integrate in the same framework different already existing
decision or analysis tools. At the actor level, we distinguish the
five forces model analysis, and the family of social or policy network
analysis. For assessing the strategic issues of a given environment,
the structural analysis and the actor-issue analysis can be integrated
in the application portfolio for eliciting the issues, assess the
convergences and divergences, and anticipating coalitions and conflicts.
Disruption analysis can be solicited for detecting potential disruption
in technology use.
The ontology and the associated analysis models we suggest for this
kind of emergent information systems should help to formulate a
response to control the complexity, the uncertainty and the disruptiveness
of most technology-intensive environments. |
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