this paper is to stimulate a more holistic research on
the future workplace without overrating
technological aspects.
In a nutshell, relevant enablers for the future
workplace are rising adoption of mobile devices,
awareness for social media and its benefits in the
private domain, paradigm shift to mobile computing,
free access to contents and applications on the Web,
and increasing availability of cloud services in the
private domain. As a result, employees become
increasingly mobile and want to perform work from
everywhere and anytime. Hence work will be further
decentralized in time and place.
The feel-good factor known from using social
media in the private context will have to play an
important role for future corporate information
systems, as enterprises strive for more creative ideas.
The respective concept is called ‘joy of use’. Social
media will be used for internal communication and
embedded into process-based information systems
including enterprise resource planning and PLM.
Access to corporate information and explicated
knowledge will be more open, leading to a much
larger supply of information for the individual
knowledge worker. As a result, employees will have
to cope with streams of information generated by
humans, software agents and things. They will
decide what is important for their work assignment
and hence generate their own information supply
through filtering and unified access to decentralized
information repositories. Employees will become
experts based on their content generated and not
based on their formal role or hierarchical position.
To stimulate further research on the future
workplace, the authors aim to propose hypotheses
based on their findings in the study:
Hierarchies will be largely replaced by social
networks.
Social Media will change the way employees
collaborate.
Central ICT approaches will be replaced by
decentralized approaches.
Employees will work in information streams.
Access to corporate information will more open
up.
Mobile devices will overtake desktop devices.
Employees become experts based on content they
generate.
ACKNOWLEDGEMENTS
The authors would like to acknowledge the financial
support of "COMET K2-Research Centres for
Excellent Technologies Programme" of the Austrian
Federal Ministry for Transport, Innovation and
Technology (BMVIT), the Austrian Federal
Ministry of Economy, Family and Youth (BMWFJ),
the Austrian Research Promotion Agency (FFG), the
Province of Styria and the Styrian Business
Promotion Agency (SFG).
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