Understanding the adoption of data-driven decision-making practices among Canadian DMOs

Michelle Novotny (), Rachel Dodds and Philip R. Walsh
Additional contact information
Michelle Novotny: Toronto Metropolitan University
Rachel Dodds: Toronto Metropolitan University
Philip R. Walsh: Toronto Metropolitan University

Information Technology & Tourism, 2024, vol. 26, issue 2, No 4, 345 pages

Abstract: Abstract With the rapid developments in ICTs in recent years, destination management organizations (DMOs) have been increasingly expected to adopt data-driven decision-making practices towards fulfilling their role as destination managers. While data-driven decision-making offers a smarter approach to building more sustainable and competitive destinations, there remains a limited understanding surrounding its adoption in practice. Therefore, this study applied a mixed methods approach in efforts to identify the existing practices and barriers facing DMOs at each phase of Athamena and Houhamdi’s (2018) model of the data-driven decision-making process. The findings suggest that Canadian DMOs have been slow to engage in data-driven decision-making practices. Specifically, there remains a need to address the lack of data related to sustainability indicators, the quality of data sources, and the resource limitations faced by DMOs. Theoretical and practical implications are discussed.

Keywords: Destination management organizations; Data-driven decision-making; Mixed methods (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40558-023-00281-w 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:infott:v:26:y:2024:i:2:d:10.1007_s40558-023-00281-w

Ordering information: This journal article can be ordered from
http://www.springer. ... ystems/journal/40558

DOI: 10.1007/s40558-023-00281-w

Access Statistics for this article

Information Technology & Tourism is currently edited by Zheng Xiang

More articles in Information Technology & Tourism from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().