Benchmarking logistics facilities : a rating model to assess building quality and functionality
Purpose: Logistics real estate has been experiencing a recent rebirth led by the growth of retailing and e-commerce. Although these sectors are looking for facilities matching their logistics needs, the identification of the most suitable building becomes a challenging task. To date, from both the practitioner’s and academic perspectives there is a lack of models for assessing the quality of logistics facilities together with functionality (i.e. whether a warehouse is suitable for hosting a given logistics activity). The purpose of this paper is to fill this gap by developing a rating model for assessing the quality and functionality of logistics facilities. Design/methodology/approach: A three-pronged methodology was adopted. First, a Systematic Literature Network Analysis (SLNA) was carried out to identify the relevant features that must be taken into consideration when assessing logistics real estate. Second, a Delphi method involving experts in the field was used to fine-tune the list of features that emerged from the SLNA process and to evaluate the importance of each feature from a company perspective. The rating model was developed and validated through pilot tests on 27 logistics facilities. Findings: The rating model is divided into four sections: location, technical specifications, external spaces and internal areas. As an output, the model determines the building quality and main functionality, together with a gap analysis to detect the weakest emerging elements. Originality/value: This research fills an identified research gap in the logistics real estate literature. Specifically, it offers a quantitative and shared evaluation method, which can be used to estimate building quality and functionality, thus extending the scope of the previous assessment methods available.
Year of publication: |
2019
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Authors: | Baglio, Martina ; Perotti, Sara ; Dallari, Fabrizio ; Garagiola, Elisabetta Rachele |
Published in: |
Benchmarking: An International Journal. - Emerald, ISSN 1463-5771, ZDB-ID 2007988-6. - Vol. 27.2019, 3 (11.12.), p. 1239-1260
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Publisher: |
Emerald |
Saved in:
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