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The Digital Workplace: Navigating in a Jungle of Paradoxical Tensions
Digital technologies have become omnipresent in our professional and personal lives. While they provide numerous opportunities, they also cause tensions, many of which are paradoxical. They confront us with conflicting yet synergetic and interdependent alternatives that persist over time - such as benefiting from the increasing availability and access to information at the risk of information overload and technostress. Thus far, we know little about the specific paradoxes caused by digital technologies in the workplace and how managers perceive and cope with them. This article offers a comprehensive perspective on the multiplicity and interrelatedness of paradoxes in the digital white- collar workplace and suggests how managers can develop effective coping mechanisms for convergent change and transforming work practices in paradoxical environments. -
Decision augmentation and automation with artificial intelligence: Threat or opportunity for managers?
Artificial intelligence (AI) has emerged as a promising and increasingly available technology for managerial decision-making. With the adoption of AI-enabled software, organizations can leverage various benefits of the technology, but they also have to consider the intended and unintended consequences of using the technology for managerial roles. It is still unclear whether managers will benefit from enhancing their abilities with AI-enabled software or become powerless puppets that do more than announce AI-enabled software results. Our research has revealed distinct ways in which organizations can use AI-enabled decision-making solutions: as tools or novelties, for decision augmentation or automation, and as either a voluntary or a mandatory option. In this article, we discuss the implications of each of these combinations on the relevant managers. We consider outcomes related to managerial job design and derive practical advice for organizational designers and managers who work with AI. Our outcomes provide guidance on how to deal with the conflict-riddled relationship between managers and technology with regard to capabilities, responsibilities, and acceptance of AI-enabled software.