Title: Validation of cognitive inhibitors to technology adoption using content analysis

Authors: Easwar Krishna Iyer; Sreehari Unnikrishnan; Paul Philip; Mallika Sundarrajan; Bharadhwaj Sivakumaran

Addresses: Great Lakes Institute of Management, Dr. Bala V Balachandar Campus, East Coast Road, Manamai, Chennai 603102, India ' Great Lakes Institute of Management, Dr. Bala V Balachandar Campus, East Coast Road, Manamai, Chennai 603102, India ' Great Lakes Institute of Management, Dr. Bala V Balachandar Campus, East Coast Road, Manamai, Chennai 603102, India ' Great Lakes Institute of Management, Dr. Bala V Balachandar Campus, East Coast Road, Manamai, Chennai 603102, India ' Great Lakes Institute of Management, Dr. Bala V Balachandar Campus, East Coast Road, Manamai, Chennai 603102, India

Abstract: Inhibitors to technology play a crucial role in predicting eventual technology adoption. In the inhibitor space, studies have so far been limited to understanding affective inhibitors only. The central proposition of this paper is to identify two new cognitive inhibitor constructs. This study augments the existing body of knowledge in the area of technology acceptance behaviour by positing 'dissatisfiers' and 'risk' as two cognitive inhibitor constructs to technology adoption. The methodology used for validating the proposed model is content analysis (CA). The target technology chosen for validation is internet of things (IoT). The results obtained provide strong support for the proposed hypotheses thereby establishing dissatisfiers and risk as two new cognitive inhibitor constructs.

Keywords: cognitive inhibitors; dissatisfiers; risk; content analysis; technology adoption model; TAM; internet of things; IoT.

DOI: 10.1504/IJITM.2021.119895

International Journal of Information Technology and Management, 2021 Vol.20 No.4, pp.377 - 399

Accepted: 14 Mar 2018
Published online: 23 Dec 2021 *

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