Digital artifacts are embedded in wider and constantly shifting ecosystems such that they become increasingly editable, interactive, reprogrammable, and distributable. This state of flux and constant transfiguration renders the value and utility of these artifacts contingent on shifting webs of functional relations with other artifacts across specific contexts and organizations. By the same token, it apportions control over the development and use of these artifacts over a range of dispersed stakeholders and makes their management a complex technical and social undertaking. These ideas are illustrated with reference to (1) provenance and authenticity of digital documents within the overall context of archiving and social memory and (2) the content dynamics occasioned by the findability of content mediated by Internet search engines. We conclude that the steady change and transfiguration of digital artifacts signal a shift of epochal dimensions that calls for rethinking some of the inherited wisdom in IS research and practice.

Digital objects are marked by a limited set of variable yet generic attributes such as editability, interactivity, openness and distributedness. As digital objects diffuse throughout the institutional fabric, these attributes and the information-based operations and procedures out of which they are sustained install themselves at the heart of social practice. The entities and processes that constitute the stuff of social practice are thereby rendered increasingly unstable and transfigurable, producing a context of experience in which the certainties of recurring and recognizable objects are on the wane. These claims are supported with reference to 1) the elusive identity of digital documents and the problems of authentication/preservation of records such an identity posits and 2) the operations of search engines and the effects digital search has on the content of the documents it retrieves.

This article investigates a form of governance that makes online social production possible. Drawing on the concepts of capability and routine, we develop a dynamic, process-oriented view that departs from past research focused on static comparative analysis. We theorize that online social production systems develop a collective governance capability to steer the process of integrating distributed knowledge resources to the production of value. Governance mechanisms emerge from individual and collective learning that is made possible by new technology, and they evolve over time, as routines are developed to respond to new problems faced by a growing production system. Using Wikipedia as a paradigmatic example of online social production, we characterize governance as an evolving, enabling and embedded process and discuss implications for a dynamic theory of governance.

Open content production platforms typically allow users to gradually create content and react to previous contributions. Using detailed edit-level data across a large number of Wikipedia articles, we investigate how past edits shape current editing activity. We find that cumulative past contributions, embodied by the current article length, lead to significantly more editing activity, while controlling for a host of factors such as popularity of the topic and platform-level growth trends. The magnitude of the e↵ect is large; content growth over an eight-year period would have been 45% lower in its absence. Our findings suggest other open content production environments are likely to also benefit from similar cumulative growth e↵ects. In the presence of such e↵ects, managerial interventions that increase content are amplified because they trigger further contributions.JEL Classification: D24, L23, L86, M11, O31

Contemporary digital ecosystems produce vast amounts of data every day. The data are often no more than microscopic log entries generated by the elements of an information infrastructure or system. Although such records may represent a variety of things outside the system, their powers go beyond the capacity to carry semantic content. In this article, we harness critical realism to explain how such data come to matter in specific business operations. We analyse the production of an advertising audience from data tokens extracted from a telecommunications network. The research is based on an intensive case study of a mobile network operator that tries to turn its subscribers into an advertising audience. We identify three mechanisms that shape data-based production and three properties that characterize the underlying pool of data. The findings advance the understanding of many organizational settings that are centred on data processing.