Enabling the Adoption of Innovative Mask in Hotels: Adapted Diffusion Model

Wilco W.H. Chan, Jim Y.X. Luo, Irini L.F. Tang, I Lei Chan and Chammy Lau ()
Additional contact information
Wilco W.H. Chan: Macau Institute for Tourism Studies
Jim Y.X. Luo: Macau Institute for Tourism Studies
Irini L.F. Tang: City University of Macau
I Lei Chan: University of Macau
Chammy Lau: The Hong Kong Polytechnic University

Journal of the Knowledge Economy, 2023, vol. 14, issue 4, No 49, 4754-4779

Abstract: Abstract This paper aims to investigate the general attributes as drivers to initiate intention of hotel managers to adopt an innovative product—copper-impregnated mask. An adapted prior diffusion of innovation model is employed to investigate the relevance of attributes. Methodologically, forty semi-structured interviews with hotel managers were conducted to solicit their views for the industry-specific attributes. Our study identifies 31 attributes as relevant criteria to diffuse the adoption of the innovated mask in upscale hotels. Hoteliers are capable of facilitating the formation of 17 attributes, and manufacturers have to continue to step up research and development in the rest of other 14 attributes. This study represents the first of its kind to explore the diffusion of innovation of masks which is envisaged to grow in market under new normal era. The study establishes the diffusion model of innovation specific to design and development of masks for upscale hotels.

Keywords: Diffusion model; Innovation; Adoption intention; Copper masks; Greater Bay Area (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13132-022-01041-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jknowl:v:14:y:2023:i:4:d:10.1007_s13132-022-01041-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13132

DOI: 10.1007/s13132-022-01041-7

Access Statistics for this article

Journal of the Knowledge Economy is currently edited by Elias G. Carayannis

More articles in Journal of the Knowledge Economy from Springer, Portland International Center for Management of Engineering and Technology (PICMET)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().