This article addresses the concept of "communication" in strategic communication, and proposes a new lens through which to view communication in order to deepen knowledge of strategic communication, ...as well as to significantly improve the alignment of strategic communication with the demands of today's strategy development process. Looking at modern strategy theory, this article focuses on communication theory as an ongoing process of meaning construction. It posits that communication is a process that is interactive by nature and participatory at all levels. This process is not necessarily two-way but omnidirectional diachronic, with an emphasis on the external and internal arenas of continuous meaning presentations, negotiations, and constructions. Strategic communication, therefore, needs to be conceptualized as an agile management process in which the focus is on feeding these arenas for strategy building and implementation, and on testing strategic decisions by presenting and negotiating these in a continuous loop.
This open access book introduces how to manage important tasks in industrial wireless networks. Important tasks must be completed on time and with guaranteed quality; that is the consensus reached by ...system designers and users. However, for too long, important tasks have often been given unnecessary urgency, and people intuitively believe that important tasks should be executed first so that their performance can be guaranteed. Actually, in most cases, their performance can be guaranteed even if they are executed later, and the “early” resources can be utilized for other, more urgent tasks. Therefore, confusing importance with urgency hinders the proper use of system resources. In 2007, mixed criticality was proposed to indicate that a system may contain tasks of various importance levels. Since then, system designers and users have distinguished between importance and urgency. In the industrial field, due to the harsh environment they operate in, industrial wireless networks’ quality of service (QoS) has always been a bottleneck restricting their applications. Therefore, this book introduces criticality to label important data, which is then allocated more transmission resources, ensuring that important data’s QoS requirements can be met to the extent possible. To help readers understand how to apply mixed-criticality data to industrial wireless networks, the content is divided into three parts. First, we introduce how to integrate the model of mixed-criticality data into industrial wireless networks. Second, we explain how to analyze the schedulability of mixed-criticality data under existing scheduling algorithms. Third, we present a range of novel scheduling algorithms for mixed-criticality data. If you want to improve the QoS of industrial wireless networks, this book is for you.
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