Based on their positive experiences with intraorganizational enterprise social software (ESS), the first organizations are currently deploying ESS in an interorganizational context. Nevertheless, hardly any research has addressed aspects pertaining to the commonalities of and differences between ESS and existing forms of interorganizational information systems (IOS). Following an information-processing view, and based on a systematic literature review, as well as on the results of an exploratory interview study, we propose a conceptual model of interorganizational ESS usage and relevant usage determinants. Some of these are known from prior studies, but have not yet been applied to an inter-organizational context (e.g., trust, knowledge sharing, security), whereas others were newly identified in our interview study (e.g., confidentiality, productiveness, dynamics). The proposed model extends the current understanding of IOS and helps address the field of interorganizational ESS usage more appropriately in theory and practice.
Evaluating how an Information Systems (IS) intervention in the workplace affects daily work and impacts on workers and organizations is a challenge that requires a very broad research approach. IS researchers have derived several models to explain and measure IS success, taking various perspectives and system types into account. This study presents an evaluation framework for measuring the impacts of an IS intervention especially at the shop floor in production environments. In this framework, we take a broad scope of examination and apply an integrated model that comprises elements from several methods for analyzing the acceptance and the impact of the new solutions. Thus, the aim is to further develop and enhance the existing methods and models for measuring the acceptance and the impacts of the sociotechnical interventions in production environments.
The voluntary use of private devices by employees without the formal approval of the IT department, commonly termed Shadow IT, is an increasingly widespread phenomenon. In this article, the authors study the role of private smartphones (and related applications like WhatsApp) in knowledge-intensive practices in the manufacturing domain. With an in-depth case study based on data gained from observations and interviews, the authors are able to empirically illustrate why workers use their private smartphones (contrary to company guidelines) and how they find significant gains of productivity by using the forbidden applications. This study gives rich insights into the rise of Shadow IT in a manufacturing context which takes place in a self-organised way without knowledge of the management.
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