The Internet of Things, dynamic data and information processing capabilities, and operational agility

Abstract

Whilst there are promising links between the Internet of Things (IoTs), dynamic data and information processing capabilities (DDIPCs), and operational agility, scholars have not conducted enough empirical studies that offer convincing evidence for the use of the IoTs and relevant linkages. This study therefore examines the links between such constructs and provides managerial implications for contemporary data and information driven managers who adopt evidence-based decision making for better operational outcomes. The results obtained from structural equation modelling indicate that the use of the IoTs is the key determinant for operational agility and also plays a vital role in establishing DDIPCs that further reinforce it. Additionally, DDIPCs mediate the relationship between the use of the IoTs and operational agility. By persuasively building these links based on theoretical arguments and testing them by using a unique dataset, this study contributes to the deeper understanding of the mechanisms by which the use of the IoTs and DDIPCs strengthen operational agility.

Dynamic Capabilities and Their Relations with Elements of Digital Transformation in Portugal

“…Emphasis is also placed on the important role played by IoTs in operational agility, indicating the need for managers to invest in such destructive technologies and to improve the IT organizational infrastructure of their enterprises, in order to take advantage of a large amount of data and information through devices connected to the Internet to develop operational agility and manufacturing scalability (Akhtar et al, 2017).…”

“…This may suggest that organizations have already begun to understand the relationship between Big Data and AI techniques. For Akhtar et al (2017), today's business operations are flooded with structured and unstructured data, and modern companies can rely on new tools and techniques to process data and share information, and expert systems of artificial intelligence can provide their data mining tools and learning tools of machines for the conversion of information into knowledge (Gubbi et al, 2013;Pan, 2016).…”

Business Intelligence and Data Analytics as a Driver of Dynamic Capability Strategic Approach

“…All of which can be controlled wirelessly via phones, computers, microphones (e.g., Amazon Echo or Google Home), and other inputs. Within dynamic and competitive environments, recent research found that IoT supports the productivity of business processes with regards to building dynamic data and information processing capabilities, and enhancing organizational and operational agility [45]. We can conclude that the IoT is an intelligent connection among all machines through the internet.…”

Here there be dragons, a pre-roadmap construct for IoT service infrastructure

“…The European Commission Information Society similarly defined the IoT as "Interconnected objects having an active role in what might be called the Future Internet" (Pang, et al, 2015). The value of an IoT based TSS resides in the data or information (Akhtar, 2017) which is derived from sensors with edge intelligence capabilities or streamed data forming the bases of many service products. The potentially disruptive IoT based TSS technology can enable products that have the potential to generate innovations that have global impact (Miranda, et al, 2012), and can form the backbone for Industry 4.0 (Bauer et al, 2015).…”