Synthetic knowledge and the internet of things

In principle, there is broad consensus that knowledge should be the basis of environmental sustainability policies. Knowledge about the environment is often generated by corporations, in addition to governments, as part of their industrial activities (Mukerji 1989)

Data Infrastructures in the Public Sector: A Critical Research Agenda Rooted in Scandinavian IS Research

Extant Information Systems research emphasizes the strategic benefits of digitalization and value co-creation for business. Less is known, however, about the dynamics of how value is co-created in the digitalization of the public sector, where data infrastructures are increasingly adopted. We identify three core empirical challenges for value co-creation in the public sphere, corresponding to the following conceptual tenets: participation in infrastructuring processes, data curation, and data protection. We propose to draw on the Participatory Design tradition that permeates the Information Systems field in Scandinavia to critically harness the political meaning of value co-creation. Drawing on a two-year project on the design of data infrastructures in three areas of the public domain (environmental monitoring, healthcare, and smart cities), we contribute to Information Systems by proposing a research agenda consisting of three future directions for critical studies of value co-creation in data infrastructures in the public sector

The Case of Norway and Digital Transformation over the Years

Norway is generally characterized by a pervasive presence of digital services. It is currently undergoing a digital transformation across different domains, from daily life to public and private enterprises. In this introductory chapter, we first unpack the main drivers of digital transformation in Norway so far and its enabling conditions based on three illustrative examples: the development of Altinn, a digital platform supporting digital communication between citizens and public and private organizations; the evolution of BankID, Norway’s electronic identification system; and the current push for open data sharing leveraging experiences in the energy industry. We identify key common enabling conditions: a trust-based cooperation across social partners and across public and private sectors, the public sector’s driving role, cross-organization consolidations and consortia, and application-oriented initiatives. In the second part of the chapter, we summarize the content of the subsequent chapters in this book shedding light on different facets of digital transformation in Norway.publishedVersio

The Way Forward: A Practical Guideline for Successful Digital Transformation

This chapter presents key lessons learned and implications for practice resulting from the analysis of the empirical cases included in this book. We map emerging themes across five layers: unit or project, organization, organization ecosystem, ethical and environmental sustainability, and society. We identify two emerging trends: the co-evolution of organizational forms and new technologies and the fact that digital transformation increasingly happens on the organizational ecosystem level. This has consequences in terms of increased data work, new work processes, and the need to actively engage with sustainability policies. We highlight the need for a focus on the long-term effects of digital transformation initiatives with attention to their ripple effects over time.publishedVersio

Data Curation as Governance Practice

Data governance is concerned with leveraging the potential value of data in data infrastructures. In IS research, data governance has developed as a management perspective, implying a narrow view of who makes decisions about the data in infrastructures. In contrast, we propose a data governance in practice view and focus on the day-to-day decisions of users working with the data. Drawing on an interpretive case study of three data infrastructures in the Norwegian public sector, we ask: How can we characterize data governance in practice? We find that the work of data curation is a fundamental element of data governance practice. Data emerge dynamically as assets, enfolding the involved users’ interests and contexts. We contribute to the IS literature in two ways. First, we characterize three main practices of data curation: achieving data quality, filtering the relevant data, and ensuring data protection. In so doing we foreground the role of the users as contributing to shaping data infrastructures. Second, we develop an analytical framework which specifies the unfolding of user involvement in data infrastructures-in-use and conceptualizes this work as emergent. Our contributions have implications for developing training support for users as data curators, and for the ethics of data managemen

Concluding Remarks and Final Thoughts on Digital Transformation

While we have accumulated much knowledge over the past decades about how organizations engage in digital transformation, future developments are likely to make a lot of this knowledge at least partially obsolete. New forms of working and organizing, along with an increased collaboration between human and machine, are likely to give rise to new forms of digital transformation, novel practices and approaches, and significantly different strategies. Nevertheless, such changes are likely to be gradual. This is due to the fact that emerging technologies require time to mature and to be assimilated in organizational processes. In this concluding chapter, we lay out some final thoughts about digital transformation, as well as how it will likely unfold in Norwegian organizations.publishedVersio

The Nested Materiality of Environmental Monitoring

Present knowledge about the Arctic marine ecosystem is sparse. These areas are vast, remote, and subject to harsh weather conditions. We report from a three- year case study of an ongoing effort for real-time sub-sea environmental monitoring by a Norwegian oil and gas operator aimed to obtain permission to drill in Arctic Norway. The marine ecosystem is monitored through a network of sensors, communication links, and visualisation and analysis tools. We propose the concept of nested materiality to describe how ‘facts’ about the sub-sea environment are anything but neutral; they are intrinsically caught up with the material means by which they are known. Nested materiality draws on perspectives in sociomateriality but highlights (i) the distributed and interconnected infrastructure of the material means (as opposed to ar- tefact-centric), and (ii) a technology in-the-making (as opposed to black-boxed) that brings to the fore the empirical moments when materiality is questioned and unpacked

Pragmatic Information Management For Environmental Monitoring In Oil And Gas

The oil and gas industry has an installed base that is characterized by local fragmented approaches for data management. Inside this information infrastructure, real-time monitoring of the subsea environment remains an unexplored arena that demands a cross-disciplinary and cross-organizational data integration layer. Semantic technologies have been proposed in the literature as a possible standardization solution. Their development depends on collaborative processes involving business partners from different industrial domains, thus requiring that an equifinal level of understanding is reached and boundaries of knowledge sharing are overcome. We describe an ethnographic study from an inter-organizational project in an oil and gas company, where the objective is to develop an integrated solution for real-time subsea environmental monitoring. We identify the challenges that emerge when sharing knowledge at a boundary on a syntactic, semantic, and pragmatic level. (i) The different backgrounds of the organizations involved and (ii) the unresolved issues affecting semantic-based solutions influence the possibility of reaching a shared understanding at a syntactic and semantic level. We open the black box of semantic technologies thanks to an information infrastructure perspective and conclude that collaboration can be carried out on a pragmatic level by addressing the implications of the specific technology

An Introduction to Digital Transformation

Digital transformation has been one of the most studied phenomena in information systems (IS) and organizational science literature. With novel digital technologies emerging at a growing pace, it is important to understand what we have learned in over three decades of research and what we still need to understand in order to harness the full potential of such digital tools. In this chapter, we present a brief overview of digital transformation and develop a conceptual framework which we use as a basis of discussing the extant literature. The conceptual framework is also used as a means of positioning the empirical chapters presented in the rest of this edited volume. Finally, we discuss the role of context in digital transformation and identify some differences that span industry, domain, size class, and country of operation.publishedVersio