7,683 research outputs found

    Knowing A Few Rules Doesn’t Mean You Can Play the Game : The Limits of “Best Practice” in Enterprise Systems.

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    We examine the common claim that "best practices" are encompassed and represented in Enterprise Systems (ES). We suggest that an ES can at best only represent the ostensive and not the performative elements of work tasks. Thus, representation of best practice in an ES does not take practical action into account. This has two important implications. First, ostensive abstractions of best practice in an ES are a sparse and superficial representation of a "good" business process, at a specific moment in time. Second, the practical understanding required for performance is often ignored in the ostensive representation of best practice in the implementation of an ES. This constrains user and business adaptability. Inflexible coding of ostensive business tasks furthermore leads to rigidity where flexibility should be sought, to keep on top of the competition. Implications and directions for further research are discussed

    Sensemaking Practices in the Everyday Work of AI/ML Software Engineering

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    This paper considers sensemaking as it relates to everyday software engineering (SE) work practices and draws on a multi-year ethnographic study of SE projects at a large, global technology company building digital services infused with artificial intelligence (AI) and machine learning (ML) capabilities. Our findings highlight the breadth of sensemaking practices in AI/ML projects, noting developers' efforts to make sense of AI/ML environments (e.g., algorithms/methods and libraries), of AI/ML model ecosystems (e.g., pre-trained models and "upstream"models), and of business-AI relations (e.g., how the AI/ML service relates to the domain context and business problem at hand). This paper builds on recent scholarship drawing attention to the integral role of sensemaking in everyday SE practices by empirically investigating how and in what ways AI/ML projects present software teams with emergent sensemaking requirements and opportunities

    Using bricolage to facilitate emergent collectives in SMEs

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    Starting a new business is often done in a realm of improvisation if resources are scarce and the business horizon is far from clear. Strategic improvisation occurs when the design of novel activities unite. We conducted an investigation of so called ‘emergent collectives’ in the context of a small and medium-sized enterprise (SME). Emergent collectives are networks of information nodes with minimal central control and largely controlled by a protocol specification where people can add nodes to the network and have a social incentive to do so. We considered here emergent collectives around an enterprise resources planning (ERP) software and a customer relation management (CRM) software in two open source software (OSS) communities. We investigated how the use of bricolage in the context of a start-up microenterprise can facilitate the adoption of an information system (IS) based on emergent collectives. Bricolage is an improvisational approach that allows learning form concrete experience. In our case study we followed the inception of a new business initiative up to the implementation of an IS, during a period of two years. The case study covers both the usefulness of bricolage for strategic improvisation and for entrepreneurial activity in a knowledge-intensive new business. We adopted an interpretative research strategy and used participatory action research to conduct our inquiry. Our findings lead to the suggestion that emergent collectives can be moulded into a usable set of IS resources applicable in a microenterprise. However the success depends heavily on the ICT managerial and technological capabilities of the CEO and his individual commitment to the process of bricolage. Our findings also show that open ERP and CRM software are not passing delusions. These emergent collectives will not take over proprietary ERP and CRM software all of a sudden, but clearly the rules of the game are slowly changing due to the introduction of new business models. The study contributes to the research of OSS as emergent collectives, bricolage and IS adoption in SMEs

    Making sense of enterprise systems in institutions: a case study of the re-implementation of an accounting system

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    Whereas previous research provides a number of accounts of failure prone enterprise system (ES) implementations, empirical evidence of the re-implementation of an accounting system in a Scandinavian high-tech company shows how the system became highly integrated, accepted by its users, and well-aligned to the work processes. To learn from this case study, we investigate the interactive and dynamic relationships among the enterprise system, people and institutional properties. We investigate the institutional structures and the sensemaking processes at play to identify how the idea of an efficient accounting system travelled from a national to a local level, how the system moved from being highly customized to becoming a standard package and how the users’ enactment of the system reinforced existing institutional practices. Based on the findings, we frame our contributions into five lessons learned: (1) An ES implementation entails mutual adaptations between the organization, human actors and enterprise system; (2) “small is beautiful” is almost a truism but may turn out to be an appropriate starting point; (3) a certain level of resilience is essential to cope with future upgrades and enhancements; (4) the recognition of professional identity and roles is vital for ES adaptation; and (5) first customizing and then un-customizing the ES may be a valuable approach towards integrating the system. We relate these lessons to ES adaptations in general in discussing the study’s contributions and implications

    The emergence of information systems: a communication-based theory

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    An information system is more than just the information technology; it is the system that emerges from the complex interactions and relationships between the information technology and the organization. However, what impact information technology has on an organization and how organizational structures and organizational change influence information technology remains an open question. We propose a theory to explain how communication structures emerge and adapt to environmental changes. We operationalize the interplay of information technology and organization as language communities whose members use and develop domain-specific languages for communication. Our theory is anchored in the philosophy of language. In developing it as an emergent perspective, we argue that information systems are self-organizing and that control of this ability is disseminated throughout the system itself, to the members of the language community. Information technology influences the dynamics of this adaptation process as a fundamental constraint leading to perturbations for the information system. We demonstrate how this view is separated from the entanglement in practice perspective and show that this understanding has far-reaching consequences for developing, managing, and examining information systems
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