Exploring measures to enhance the low adoption rate of IR 4.0 technologies: a qualitative inquiry with hotels during COVID-19

Abstract

Purpose

While there was heightened awareness on the technologies of the fourth industrial revolution (IR 4.0) prior to COVID-19, studies have shown that the adoption of these advanced technologies (e.g. Big Data, robotics, Internet of Things, etc.) continues to remain low across global industries. This qualitative study sought to explore the reasons for the low rate of adoption of these technologies and appropriate measures to enhance their adoption at hotels, through the lens of hotel executives.

Design/methodology/approach

Based on interpretivist's ideals, this study follows a case study design and adopts a qualitative method of enquiry. The heterogenous purposive sampling technique was employed to gather data for the study, using semi-structured interviews.

Findings

Grounded on the technology-organisation-environment (TOE) framework, the thematic analysis revealed technology, organisation and environment-related reasons for the low rate of IR 4.0 technologies adoption at hotels in Malaysia. Also, the study uncovered some interesting measures that will enhance the adoption of these advanced technologies at hotels.

Originality/value

This study unearths technology, organisation and environment-related reasons for low adoption, and measures to enhance the adoption of IR 4.0 technologies in hotels. This study also enlightens hotel owners and technology providers about practical issues that will ensure the successful adoption of such technologies to enhance hotel business. In line with SDG 9, this study also seeks to promote sustainable innovation in the hospitality industry. Practical and theoretical implications have also been discussed in this study.

Citation

Osei, B.A., Ragavan, N.A., Kandappan, B. and Frempong, F. (2024), "Exploring measures to enhance the low adoption rate of IR 4.0 technologies: a qualitative inquiry with hotels during COVID-19", European Journal of Innovation Management, Vol. 27 No. 5, pp. 1547-1574. https://doi.org/10.1108/EJIM-09-2022-0484