Privacy after the Agile Turn

Author(s):  
Seda Gurses ◽  
Joris Vredy Jan van Hoboken

Moving beyond algorithms and big data as starting points for discussions about privacy, the authors of Privacy After the Agile Turn focus our attention on the new modes of production of information systems. Specifically, they look at three shifts that have transformed most of the software industry: software is now delivered as services, software and hardware have moved into the cloud and software’s development is ever more agile. These shifts have altered the conditions for privacy governance, and rendered the typical mental models underlying regulatory frameworks for information systems out-of-date. After 'the agile turn', modularity in production processes creates new challenges for allocating regulatory responsibility. Privacy implications of software are harder to address due to the dynamic nature of services and feature development, which undercuts extant privacy regulation that assumes a clear beginning and end of production processes. And the data-driven nature of services, beyond the prospect of monetization, has become part of software development itself. With their focus on production, the authors manage to place known challenges to privacy in a new light and create new avenues for privacy research and practice.

2020 ◽  
Vol 16 (2) ◽  
pp. 22-37 ◽  
Author(s):  
Michael Möhring ◽  
Rainer Schmidt ◽  
Barbara Keller ◽  
Kurt Sandkuhl ◽  
Alfred Zimmermann

Predictive maintenance has the potential to improve the reliability of production and service provisioning. However, there is little knowledge about the proper implementation of predictive maintenance in research and practice. Therefore, we conducted a multi-case study and investigated underlying conditions and technological aspects for implementing a predictive maintenance system and where it leads to. We found that predictive maintenance initiatives are triggered by severe impacts of failures on revenue and profit. Furthermore, successful predictive maintenance initiatives require that pre-conditions are fulfilled: Data must be available and accessible. Very important is also the support by the management. We identified four factors important for the implementation of predictive maintenance. The integration of data is highly facilitated by Cloud-based mechanisms. The detection of events is enabled by advanced analytics. The execution of predictive maintenance operations is supported by data-driven process automation and visualization.


MIS Quarterly ◽  
2020 ◽  
Vol 44 (2) ◽  
pp. 509-523 ◽  
Author(s):  
Richard L. Baskerville ◽  
Michael D. Myers ◽  
Youngjin Yoo

2021 ◽  
pp. medethics-2020-107095
Author(s):  
Charalampia (Xaroula) Kerasidou ◽  
Angeliki Kerasidou ◽  
Monika Buscher ◽  
Stephen Wilkinson

Artificial intelligence (AI) is changing healthcare and the practice of medicine as data-driven science and machine-learning technologies, in particular, are contributing to a variety of medical and clinical tasks. Such advancements have also raised many questions, especially about public trust. As a response to these concerns there has been a concentrated effort from public bodies, policy-makers and technology companies leading the way in AI to address what is identified as a "public trust deficit". This paper argues that a focus on trust as the basis upon which a relationship between this new technology and the public is built is, at best, ineffective, at worst, inappropriate or even dangerous, as it diverts attention from what is actually needed to actively warrant trust. Instead of agonising about how to facilitate trust, a type of relationship which can leave those trusting vulnerable and exposed, we argue that efforts should be focused on the difficult and dynamic process of ensuring reliance underwritten by strong legal and regulatory frameworks. From there, trust could emerge but not merely as a means to an end. Instead, as something to work in practice towards; that is, the deserved result of an ongoing ethical relationship where there is the appropriate, enforceable and reliable regulatory infrastructure in place for problems, challenges and power asymmetries to be continuously accounted for and appropriately redressed.


2020 ◽  
Vol 1 (3) ◽  
pp. 44-51
Author(s):  
Pratap Chandra Mandal

The marketplace is changing rapidly and is different from what it used to be previously. Today's marketplace has access to more information, is more competitive, and customers are more empowered. The change has happened because of several societal forces that have resulted in new consumer and capabilities. The four major forces that are transforming the marketplace include technological changes, globalization, social responsibility, and consumer concerns about sustainability. The study discusses about the changes these forces are bringing in the marketplace. These forces are creating new challenges and opportunities and significantly changing the marketing environment. Companies require acknowledging the dynamic nature of the marketplace, major forces causing the changes, growing with the new marketing realities, and achieving business excellence.


Tábula ◽  
2021 ◽  
Author(s):  
Miguel Ángel Amutio Gómez

La orientación al dato en el contexto de la transformación digital lleva aparejada la aparición de nuevas regulaciones, dinámicas de gobernanza y roles, y servicios, junto con las correspondientes prácticas, instrumentos y estándares. A la vez se suscitan retos en relación con la ciberseguridad y la preservación de los datos. En este artículo se exponen la transformación digital y la orientación al dato, la proyección de lo anterior en la administración digital, el contexto de la Unión Europea, trayectoria y su orientación, aspectos de la interoperabilidad, ciberseguridad y preservación de los datos, cuestiones de gobernanza y roles en la orientación al dato y, finalmente, unas conclusiones. The data-driven approach in the context of digital transformation entails the appearance of new regulations, governance dynamics and roles, and services, together with the corresponding practices, instruments and standards. At the same time new challenges appear in relation to cybersecurity and data preservation. This article presents the digital transformation and data-driven approach, the impact in digital administration, the context of the European Union, trajectory and orientation towards the future, along with aspects of interoperability, cybersecurity and data preservation, as well as issues of governance and roles in data orientation and finally some conclusions.


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