Affiliations: [a] School of Business, Nanjing Normal University, Nanjing, P.R. China | [b] College of Mathematical Sciences, Yangzhou University, Yangzhou, P.R. China
Correspondence:
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Corresponding author. Xiangqian Feng, School of Business, Nanjing Normal University, Nanjing 210023, P.R. China. Tel.: +86 138 519 43499; E-mail: [email protected].
Abstract: Internet of Things (IoT) technology now has a new purpose and relevance as a result of the digitalization wave. In this setting, businesses start to plan how they will use IoT technology. But some critical factors can prevent the successful deployment of IoT, and businesses must get beyond these critical factors if they want to do so. The literature review, system literature review, and Delphi technique are used to identify 15 critical factors. These critical factors are then divided into four categories: organization, technology, process, and environment. The PFN-weighted power harmonic operator is proposed with the aim of more effectively obtaining assessment data from experts and lessening the inaccuracy of outcomes caused by information loss. The best and worst method (BWM) is used to determine the ideal weight of critical factors. Results indicate that the primary critical factors to the effective adoption of the Internet of Things are talent, resource limitations, integration complexity, technical operations, equipment power consumption, technical dependability, and data governance. This research will benefit corporate managers in recognizing the significance of the effective deployment of the Internet of Things, identifying major critical factors to this achievement, and making decisions to remove these factors. Thus, an organization may support the effective adoption of the animal Internet of Things.
Keywords: Internet of things, critical factors, PFN, weighted power harmonic
operator, BWM
