Globalized service providers' perspective for facility management outsourcing relationships: Artificial neural networks. Issue 1 (19th September 2020)
- Record Type:
- Journal Article
- Title:
- Globalized service providers' perspective for facility management outsourcing relationships: Artificial neural networks. Issue 1 (19th September 2020)
- Main Title:
- Globalized service providers' perspective for facility management outsourcing relationships
- Authors:
- Lok, Ka Leung
So, Albert
Opoku, Alex
Song, Haiyu - Abstract:
- Abstract : Purpose: The Contingency Outsourcing Relationship (CORE) model originated from the Four Outsourcing Relationship Types (FORT) model and the CORE model is used in the globalized facility management (FM) industry while the FORT model is originally used in the global information technology industry. The purpose of this paper is to analyze the CORE model through the rankings of relationship between a client and a globalized FM service provider from the perspective of the FM service provider in one of the four categories (i.e. in-house, technical expertise, commitment and common goals) and the application of this model with the aid of artificial neural networks (ANNs). Design/methodology/approach: A quantitative methodology using a survey is used to analyze the four types of outsourcing categories. First, the background theory and a set of rules of the CORE is introduced and discussed regarding the proper ways to identify the rankings collected from the survey. Findings: The study reveals that an interesting understanding of the outsourcing categories can be systematically implemented into the FM outsourcing relationships through the methodology of scientific artificial intelligence. FM outsourcing categorization may help to define the appropriate relationship; as either not too aggressive or too passive. Originality/value: The outcome generated from the ANN can be considered a strong and solid reference to assess and define the existing outsourcing relationshipsAbstract : Purpose: The Contingency Outsourcing Relationship (CORE) model originated from the Four Outsourcing Relationship Types (FORT) model and the CORE model is used in the globalized facility management (FM) industry while the FORT model is originally used in the global information technology industry. The purpose of this paper is to analyze the CORE model through the rankings of relationship between a client and a globalized FM service provider from the perspective of the FM service provider in one of the four categories (i.e. in-house, technical expertise, commitment and common goals) and the application of this model with the aid of artificial neural networks (ANNs). Design/methodology/approach: A quantitative methodology using a survey is used to analyze the four types of outsourcing categories. First, the background theory and a set of rules of the CORE is introduced and discussed regarding the proper ways to identify the rankings collected from the survey. Findings: The study reveals that an interesting understanding of the outsourcing categories can be systematically implemented into the FM outsourcing relationships through the methodology of scientific artificial intelligence. FM outsourcing categorization may help to define the appropriate relationship; as either not too aggressive or too passive. Originality/value: The outcome generated from the ANN can be considered a strong and solid reference to assess and define the existing outsourcing relationships between the stakeholders and the service providers with the goal to assign an outsourcing category to the service provider based on the learnt rules. … (more)
- Is Part Of:
- Management decision. Volume 59:Issue 1(2021)
- Journal:
- Management decision
- Issue:
- Volume 59:Issue 1(2021)
- Issue Display:
- Volume 59, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 59
- Issue:
- 1
- Issue Sort Value:
- 2021-0059-0001-0000
- Page Start:
- 134
- Page End:
- 151
- Publication Date:
- 2020-09-19
- Subjects:
- Artificial neural networks -- Global facilities management
Management -- Periodicals
658.403 - Journal URLs:
- http://firstsearch.oclc.org ↗
http://www.emeraldinsight.com/0025-1747.htm ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/MD-01-2019-0102 ↗
- Languages:
- English
- ISSNs:
- 0025-1747
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5359.019000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22290.xml