Dressage and the illusion of management control

A recent stream of information systems research emphasises the institutional or structural forces that can be embodied in an enterprise system. Other research focuses on the locally idiosyncratic adoption patterns of users after an enterprise systems implementation. To understand the tension that arises when these opposing views meet, we draw on Foucault’s notion of dressage. Dressage implies the exercise of total control by a governing body over the activities of its inhabitant population. In a context of enterprise systems, dressage is reflected in the control-rooted standardised rationality which is inherent in such systems, as well as in the ostensive compliance of individuals to such systems. Dressage highlights that enterprise systems may contain elements of non-productive control, and that responses to such control may appear to be compliant, whereas non-standardised locally idiosyncratic activities persist outside of the system’s gaze. These “organic” activities may be vital for organisational flexibility and for ongoing effective organisational performance

Designing Chatbots for Crises: A Case Study Contrasting Potential and Reality

Chatbots are becoming ubiquitous technologies, and their popularity and adoption are rapidly spreading. The potential of chatbots in engaging people with digital services is fully recognised. However, the reputation of this technology with regards to usefulness and real impact remains rather questionable. Studies that evaluate how people perceive and utilise chatbots are generally lacking. During the last Kenyan elections, we deployed a chatbot on Facebook Messenger to help people submit reports of violence and misconduct experienced in the polling stations. Even though the chatbot was visited by more than 3,000 times, there was a clear mismatch between the users’ perception of the technology and its design. In this paper, we analyse the user interactions and content generated through this application and discuss the challenges and directions for designing more effective chatbots

Build it, but will they come? A geoscience cyberinfrastructure baseline analsys

Understanding the earth as a system requires integrating many forms of data from multiple fields. Builders and funders of the cyberinfrastructure designed to enable open data sharing in the geosciences risk a key failure mode: What if geoscientists do not use the cyberinfrastructure to share, discover and reuse data? In this study, we report a baseline assessment of engagement with the NSF EarthCube initiative, an open cyberinfrastructure effort for the geosciences. We find scientists perceive the need for cross-disciplinary engagement and engage where there is organizational or institutional support. However, we also find a possibly imbalanced involvement between cyber and geoscience communities at the outset, with the former showing more interest than the latter. This analysis highlights the importance of examining fields and disciplines as stakeholders to investments in the cyberinfrastructure supporting science

Managing technological uncertainty in science incubation:A prospective sensemaking perspective

This paper focuses on the adaption challenge that confronts the top management team (TMT) of science incubators in situations of substantial technological uncertainty. To do that, we draw on the three-year longitudinal analysis of a major bioscience catalyst in the UK. Through the lens of ‘prospective sensemaking’, we follow the TMT as they work with stakeholders in their ecosystem to make sense of a significant technological shift: the convergence of life sciences, IT and other sciences in the health care environment. Our analysis reveals how prospective sensemaking resulted in the launch of a new strategy to exploit these emerging opportunities. However, stakeholders’ increasingly fragmented interpretation of the term convergence and the anticipation of legitimacy challenges in the wider ecosystem resulted in the repositioning of the incubator. Our findings contribute to extant research on science incubation. In particular, the paper sheds light on the complex interactions of incubator TMT’s with stakeholders in situations of technological change and uncertainty. Moreover, responding to technological change does not only affect the structural conditions of an incubator. Rather, it may also require changes to the positioning of the incubator in order to maintain legitimacy in the wider ecosystem. The paper also suggests managerial as well as policy level implications