Are business users social? A design experiment exploring information sharing in enterprise social systems
Open accessAbstract
In recent years, social technology has changed the ways people collaborate and communicate. With the blurring boundaries between work and personal life, business software vendors have begun to deliberate on the possibilities for enhancing the rather rigid and impersonal structures in enterprise systems (ES) by integrating social features. In doing so, they frequently assume that business users share the same interaction patterns as private users. In this paper, we challenge this belief and explore the factors that stimulate business users to share information in ES environments. By means of a design experiment, we show different use scenarios and explore business users' attitudes toward open and unconditional information sharing in ES. Our results demonstrate that business users are less ‘social’ and that applying social features in ES is highly context dependent. Based on these findings, we offer recommendations for software vendors and researchers who are interested in the social enhancements of ES.
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Existing IS research largely emphasizes the contrasts between traditional enterprise systems and social information systems.
“However, instead of investigating entanglements of social and traditional enterprise systems, existing information systems (IS) research largely emphasizes the contrasts between traditional enterprise systems and social information systems (Koch 2008;Mettler and Winter 2016).”
From How affordances of chatbots cross the chasm between social and traditional enterprise systems (2020) · cites this paper as Mettler and Winter 2016
The four dimensions (alignment, control, interoperability, efficiency) are well-known affordances of traditional enterprise systems.
“In turn, these four dimensions (i.e., alignment, control, interoperability, efficiency) are well-known affordances of traditional enterprise systems (Mettler and Winter 2016).”
From How affordances of chatbots cross the chasm between social and traditional enterprise systems (2020) · cites this paper as Mettler and Winter 2016
Chatbots augment social information systems with the affordances of traditional enterprise systems proposed by Mettler and Winter (2016).
“We contribute to the body of social information systems by elucidating how chatbots augment social information systems with the affordances of traditional enterprise systems proposed by Mettler and Winter (2016).”
From How affordances of chatbots cross the chasm between social and traditional enterprise systems (2020) · cites this paper as Mettler and Winter (2016)
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How affordances of chatbots cross the chasm between social and traditional enterprise systems
Stoeckli, E., Dremel, C., Uebernickel, F., & Brenner, W. (2020) · Electronic Markets · doi:10.1007/s12525-019-00359-6 · Cited by 55 · see citing works
- Authors
- Mettler, T., & Winter, R.
- Affiliations
- University of St.Gallen (CH)
- Venue
- Journal of Information Technology
- Publisher
- SAGE Publications
- Published
- 2016-06
- Volume
- 31
- Issue
- 2
- Pages
- 101-114
- ISSN
- 0268-3962 (ISSN-L)
- 1466-4437
- OpenAlex
- W2277015842
- Cited by
- 47
- References
- 96
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 7 · 2022: 9 · 2021: 3 · 2020: 7 · 2019: 6 · 2018: 4 · 2017: 5 · 2016: 1
- FWCI
- 10.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Information Technology (publishedVersion, cc-by)
- Alexandria (UniSG) (University of St.Gallen) (acceptedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Alexandria (UniSG) (University of St.Gallen) (submittedVersion)
- Funders
- Universität St. Gallen
- Topics
- Social Sciences › Communication › Knowledge Management and Sharing
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- information sharing, business users, social technology, user attitudes, work-life boundary blurring, collaboration, context sensitivity, software companies
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