The research conducted at KIN typically uses theories from various fields. Such an interdisciplinary perspective is needed in order to cover multiple aspects of organizing for digital innovation. We engage with multiple theoretical perspectives (e.g., sociomateriality, practice-based theory, organizational knowledge and learning, institutional theory, and modularity) and draw on a range of methodological approaches from qualitative to quantitative.
More specifically, our research concerns four interconnected research streams:
Organizing knowledge & new ways of working
This stream of research addresses the affordances of digital innovations at work. We seek to understand the dynamics of knowledge intensive and socio-material practices influencing our traditional ideas about managing knowledge and organizing work. For example, we study digital nomads crossing all possible boundaries, the use of robots transforming traditional work practices, the use of analytics influencing organizational transparency and control, crowdsourcing work practices and innovation challenges calling for alternative approaches to problem solving, knowledge integration and quality control. We conduct organizationally embedded research and aim for both academic understanding of new work practices as well as for helping organizations in their search how to benefit from the radical changes in which knowledge work is done.
In this research stream, we are currently running a major NWO funded research project on New Ways of Working and Human Capital.
Professor Marleen Huysman leads this research stream.
Information systems management
This research stream concerns the interaction between digital technologies and the business domain. It examines how organizations deal with the challenges of digital innovation, focusing on how new technological affordances transform organizations and how organizations shape the way new digital technologies are adopted and adapted. Although we build on a variety of theoretical perspectives (from strategic alignment to complexity theory, from technological frames to sociomateriality), our central assumption in this research stream is that we do not see technologies and organizations as separate domains; rather we frame them as generatively integrated.
We are currently conducting research projects on various topics such as (managing) information systems complexity, information systems discontinuance, the (relativity of) success of enterprise systems implementation, Enterprise Architecture, business/IT alignment in complex and dynamic environments, and the influence of (mobile) sales force automation on autonomy and control.
Professor Bart van den Hooff leads this research stream.
Technology, innovation & collaboration
We are interested in understanding how the creation and development of technological innovations is organized and how that affects the direction and outcomes of innovation. In particular, we study how the incorporation of digital technologies in products and services enables changes in innovation processes. Innovation processes increasingly rely on new forms of collaboration between different types of organizations, users, external developers, and other actors. Specific topic of research include how organizations collaborate around digital platforms, use crowdsourcing mechanisms, orchestrate complex technological systems that span organizational boundaries, and engage with open systems of innovation.
We are currently running research projects on collaborative innovation in various settings. This includes a major NWO funded research project on “Crossover collaboration for digital innovation”.
Professor Hans Berends leads this research stream.
Data-driven business innovation
Tapping the potentials of (big) data that digital technologies provide lies at the heart of digital innovation. This research stream concerns how organizations generate data-driven opportunities and transform them into value. In particular, we look at how organizations renovate their business models to tap the potentials of data-driven innovations, handle the challenges of (big) data, business analytics and data-driven decision making, and explore how data-driven business models should look like and can be successfully adopted.
In this line, we have co-founded ACBA , the Amsterdam Center for Business Analytics. Much research that falls under this stream is part of Data Science Alkmaar, a regional knowledge and innovation center in which we work together with local governments and businesses.
Professor Frans Feldberg leads this research stream.
Graduated (after 2011):
- Walking a Tightrope: The dynamics of coordinating intra-organizational networks of practice (Marlous Agterberg, 2005-2011)
- Buzzing across boundaries (Marc Bahlmann, 2007-2011)
- Perspectives on aid (Julie Ferguson, 2007-2012)
- Not a piece of cake - What makes online communities work? (Chirstine Moser, 2007-2012)
- Managing knowledge in dispersed R&D settings (Roos Erkelens, 2008-2013)
- High-Technology Acquisitions: An inquiry toward microfoundations of a "grafting capablity" (Nima Amiryany, 2008-2012)
- Virtual collaboration and avatars (Sarah van der Land, 2008-2012)
- The Effect of Governance in Global Software Development: Analyzing Transactive Memory Systems (Christina Manteli, 2010-2014)
- Crunching the numbers: Studying the enactment of analytics in an organization (Stella Pachidi, 2012-2016)
- Managing Citizen Science in the Humanities: The challenge of ensuring quality (Montserrat Prats Lopez, 2012-2017)
- Online consumer behavior and emerging technologies (Charlotte Vonkeman)
- Institutional logics and enterprise social media (Nick Oostervink)
- Development of digital innovation ecosystems (Susan Hilbolling)
- Business model innovation and digital innovations (Wendy Gunther)
- Connecting for digital innovation in the creative industry (Natalja Laurey)
- Collaborative innovation in hightech industry (Jochem Hummel)
- New ways of working: Open work practices, physical affordances and digital affordances (Julia Schlegelmilch)
- Exploring ecosystems for cross-over digital innovation (Dennis van Kampen)
- From Uberisation to platform cooperativism: Exploring the emergence of alternative organizational forms in the on-demand economy (Jovana Karanovic)
- Cathcing thieves with data? How using predictive analytics transforms the work of police officers (Lauren Waardenburg)