This paper develops an inductive theory of the open source software innovation process by focussing on the creation of Freenet, a project aimed at developing a decentralized and anonymous peer-to-peer electronic file sharing network. We are particularly interested in the strategies and processes by which new people join the existing community of software developers, and how they initially contribute code. Analyzing data from multiple sources on the Freenet software development process, we generate the constructs of "joining script",

Anomadic information environment is a heterogeneous assemblage of interconnected technological, and social, and organizational elements that enable the physical and social mobility of computing and communication services between organizational actors both within and across organizational borders. We analyze such environments based on their prevalent features of mobility, digital convergence, and mass scale, along with their mutual interdependencies. By using a framework that organizes research topics in nomadic information environments at the individual, team, organizational, and interorganizational levels and is comprised of both service and infrastructure development, we assess the opportunities and challenges for IS research. These deal with the design, use, adoption, and impacts of nomadic information environments. We conclude by discussing research challenges posed by nomadic information environments for information systems research skills and methods. These deal with the need to invent novel research methods and shift our research focus, the necessity to question the divide between the technical and the social, and the need to better integrate developmental and behavioral (empirical) research modes.

Introduction The task of deciding when and how to innovate is not an easy one. Consider the following managerial quandaries: . A CIO has joined a firm that lags in the adoption of emerging information technologies. He wonders: just how innovative should this firm be going forward, and what can be done to position it to be more willing and able to assume the challenge of early adoption? . A VP of marketing resides in a firm that generally leads in IT innovation, and must decide whether to endorse the immediate adoption of a particular innovation with major implications for marketing strategy. She wonders: are her firm's needs in this area and "readiness" to adopt sufficient to justify taking the lead with this specific innovation? If so, how should the assimilation process be managed? . A product manager must design a deployment strategy for an innovative software development tool. He wonders: how fast can this technology diffu

A Review and Assessment of Research This paper reviews and assesses the emerging research literature on information technology and organizational learning. After discussing issues of meaning and measurement, we identify and assess two main streams of research: studies that apply organizational learning concepts to the process of implementing and using information technology in organizations; and studies concerned with the design of information technology applications to support organizational learning. From the former stream of research, we conclude that experience plays an important, yet indeterminate role in implementation success; learning is accomplished through both formal training and participation in practice; organizational knowledge barriers may be overcome by learning from other organizations; and that learning new technologies is a dynamic process characterized by relatively narrow windows of opportunity. From the latter stream, we conclude that conceptual designs for organizational memory information systems are a valuable contribution to artifact development; learning is enhanced through systems that support communication and discourse; and that information technologies have the potential to both enable and disable organizational learning. Currently, these two streams flow independently of each other, despite their close conceptual and practical links. We advise that future research on information technology and organizational learning proceeds in a more integrated fashion, recognizes the situated nature of organizational learning, focuses on distributed organizational memory, demonstrates the effectiveness of artifacts in practice, and looks for relevant research findings in related fields. 2

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This paper summarizes the history of software engineering technology transfer and suggests ways to help both practitioners and researchers understand how to shorten the time between innovation and effective practice. Here, we use the term "technology" to encompass a large number of things, and it is important for us to understand what "technologies" to study. For example, software engineers use a variety of techniques or methods to build and maintain software. We use the terms method or technique to mean a formal procedure for producing some result. By contrast, a "tool" is an instrument, language or automated system for accomplishing something in a better way. This better way can mean that the tool makes us more accurate, more efficient, or more productive, or that it enhances the quality of the resulting product. However, a tool is not always necessary for making something well. For example, a cooking technique can make a sauce better, not the pot or spoon used by the chef. (Pfleeger 1998) A procedure is like a recipe: a combination of tools and techniques that, in concert, produce a particular product. For instance, test plans describe test procedures; they tell us which tools will be used on which data sets under which circumstances so that we can determine whether our software meets its requirements. Like a cooking style, a paradigm

The extent of organizational innovation with IT, an important construct in the IT innovation literature, has been measured in many different ways. Some measures are more narrowly focused while others aggregate innovative behaviors across a set of innovations or across stages in the assimilation lifecycle within organizations. There appear to be some significant tradeoffs involving aggregation. More aggregated measures can be more robust and generalizable and can promote stronger predictive validity, while less aggregated measures allow more context-specific investigations and can preserve clearer theoretical interpretations. This article begins with a conceptual analysis that identifies the circumstances when these tradeoffs are most likely to favor aggregated measures. It is found that aggregation should be favorable when: (1) the researcher's interest is in general innovation or a model that generalizes to a class of innovations, (2) antecedents have effects in the same direction in all assimilation stages, (3) characteristics of organizations can be treated as constant across the innovations in the study, (4) characteristics of innovations can not be treated as constant across organizations in the study, (5) the set of innovations being aggregated includes substitutes or moderate complements, and (6) sources of noise in the measurement of innovation may be present. The article then presents an empirical study using data on the adoption of software process technologies by 608 US based corporations. This study—which had circumstances quite favorable to aggregation—found that aggregating across three innovations within a technology class more than doubled the variance explained compared to single innovation models. Aggregating across assimilation stages had a slight positive effect on predictive validity. Taken together, these results provide initial confirmation of the conclusions from the conceptual analysis regarding the circumstances favoring aggregation.

Abstract: The main objective of this paper is to investigate and identify the main determinants of successful knowledge management (KM) programs. We draw upon the institutional theory and the theory of technology assimilation to develop an integrative model of KM success that clarifies the role of information technology (IT) in relation to other important KM infrastructural capabilities and to KM process capabilities. We argue that the role of IT cannot be studied in isolation and that the effect of IT on KM success is fully mediated by KM process capabilities. The research model is tested with a survey study involving 191 KM practitioners. The empirical results provided strong support for the model. In addition to its theoretical contributions, this study also presents important practical implications through the identification of specific infrastructural capabilities leading to KM success.

We examine the wake of innovations in architecture and construction propelled by the adoption of digital three dimensional (3D) representations of buildings and their parts. Departing from the traditional view of innovation that treats information technology adoption as an unproblematic, singular event, we examine IT induced innovations and their consequences as path creation created by the network of professional communities involved in architect Frank Gehry's projects. We report the results of a retrospective case study of 3D representation enabled and triggered innovation during the design and construction of the Peter B. Lewis Building at Case Western Reserve University. Our analysis suggests that the consequences of a complex information technology innovation like the use of digital 3D representations of buildings and their part cannot be fully understood as a singular adoption event. Instead, a more holistic and integrated view of the innovation process as continuous path creation by multiple actors sharing practices and feedback across professional communities while they appropriate 3D representations is required. Information technology innovation is not a single event created by a heroic individual or champion, but it involves multiple agents' mindful deviations from established paths of practices and resource use. We observe that the use of 3D representations breaks down the traditional

Trust is important consideration prior to adoption of outsourcing options and subsequently during the management of the outsourcing relationship. Understanding the antecedents to the adoption of information technology is important to both technology firms that provide services and the policy analysts that study the effects of technology adoption and IT success. The first portion of this essay looks at the role trust plays in the outsourcing relationship. Trust is discussed as both an antecedent to adoption and a critical part of the relationship post adoption. The second portion of this essay looks at a conceptual model of trust and privacy that is tested using PLS. The empirical study uses a transactional cost approach to investigate the role of trust and privacy, both as direct effects and as moderators in the adoption of Application Service Providers (ASPs) as a new form of information technology outsourcing. The study focuses on the healthcare industry. Results from the model indicate that trust plays a minimal role in the adoption of ASPs. Limitations of the research are discussed; implications are reviewed and future research areas are identified. 1 SECTION 1