384
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Can positioning strategies help influence willingness to pay for office space? Evidence on the moderating effect of office space grade and industry sector for occupiers of leased office space

, ORCID Icon, , &
Pages 337-358 | Received 29 Oct 2018, Accepted 13 Feb 2020, Published online: 27 Feb 2020
 

ABSTRACT

This study examines the applicability of self-congruity theory with positioning strategies across office spaces types (Grade A and Non-Grade A) and sectors of the office space occupiers (Finance and Office & Gas Sectors) and the corresponding impact on rent performance through examining willingness to pay for different office spaces. Data were analysed using Partial Least Squares-Structural Equation Modeling via SmartPLS. The findings suggest that there are observed heterogeneity expectations of office grades and sectors about the benefits of positioning strategy towards the willingness to pay for different office spaces. The benefits sought by Grade A office occupiers are found to be Brand Name, Selectivity, Services, and Top of the Range; while Non-Grade A office occupiers pursue after Reliability, and Value for Money. The benefits sought by the Oil & Gas sector are Attractiveness, Selectivity and Services; while the Finance sector prefers spaces denoted as providing Reliability, and Value for Money.

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 555.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.