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The purpose of this paper is to present the development of a multi-criteria decision-making model for use by maintenance managers to consider before making a decision on outsourcing.

Thirty-eight factors were identified for outsourcing maintenance services. These factors were grouped under six categories, namely: “strategic”, “management”, “technological”, “quality”, “economic” and “function characteristics”. The Analytic Hierarchy Process, as a multi-criteria decision-making model, was introduced and applied as an approach for maintenance managers in Saudi Arabian universities to consider before making a decision on outsourcing. A case study on the outsourcing decision of maintenance services of air-conditioning systems was carried out to apply the developed model.

Data analysis indicated that all outsourcing decision groups of factors have almost equal weight, with the “quality” group of factors having the highest weight and the “technological” group of factors having the least weight. Further, the analysis indicated, in general, that the recommended decision for the maintenance managers is to outsource. However, an application of the developed model through a case study on the outsourcing of maintenance services of air-conditioning systems showed that the recommended action is not to outsource.

The presented approach in this paper could be of practical benefit to maintenance managers in their decision making of whether or not to outsource maintenance services. The factors in the model were identified through a literature survey of research carried out in different countries. Therefore, the model could be applied in different settings, depending on the relative weight of the factors by the users.

The objectives of this paper are to identify the critical factors that influence the decision to outsource maintenance services in public Saudi Arabian universities, and to investigate the relative importance of each of the identified factors based on the expressed opinions of the in‐house maintenance managers in the concerned maintenance departments in these universities.

The authors conducted a comprehensive review of the literature in the fields of maintenance management and outsourcing practices to achieve a thorough understanding of the issues involved, and identifying the crucial factors affecting the outsourcing decision of maintenance services. A questionnaire survey was developed to assess each factor influencing the decision to outsource maintenance services in the public Saudi Arabian universities. The survey included 38 factors grouped in six major groups. The respondents who have opted to outsource several of their maintenance services to specialty contractors were asked to indicate their perceived level of importance for each of the identified factors. The level of importance of the factors and the groups were measured. The factor groups were ranked according to the obtained mean rating values.

The findings show that Saudi universities generally value the importance of the quality, management and strategic factors when making outsourcing decisions. The most important three factors influencing the decision to outsource maintenance services in the public Saudi Arabia universities were identified as “increase the speed of implementation”, “improve quality requirements” and “risk sharing with contractors”.

The findings of the study provide practical value for facilities maintenance managers in institutions of higher education confronted with the decision of whether to outsource maintenance services in their campuses.

The paper is original in the sense that it identifies how in‐house maintenance managers rate the importance of the factors influencing outsourcing decisions.

Outsourcings always affect crucial supply chain functions concerning flexibility and cost. During the decision to outsource and consider third-party logistics service provider selection, decision-makers need to pay more attention to certain critical outsourcing factors such as coordination, integration and cooperation as these key factors are essential to improve overall supply chain performance. The main purpose of this work is to identify the inter-relations among outsourcing decision factors to highlight the most important and influential factors that should be considered and carefully thought through when making outsourcing sustainable decisions.

A two-phased methodology has been used in this study. In the first phase, outsourcing decision factors are identified from existing literature and validated by decision-makers from industry and academia. To understand the influential strength and build a sustainable model, the decision-making trial and evaluation laboratory method is used. A courier company in the UAE is considered for implementation.

All identified and validated factors are segregated into two categories (cause and effect). The result shows that the most influential factors are developing strategic alliances, uncertainty and risk mitigation and deficiency of internal resources for a service.

There are several insights for industry managers and practitioners. The results of the study may help practitioners and logistics managers to make the logistics service sustainable and more efficient for businesses.

This study focusses on a courier company to understand the interdependencies among outsourcing decision factors; this is unique in this field of literature.

This paper aims to provide an in-depth analysis toward understanding the critical factors in affecting information technology outsourcing (ITO) decision in the context of e-banking services in Iran. Within the recent decades, outsourcing IT processes and services as a strategic decision has been widely adopted throughout industries. In this regard, scholars have investigated a wide range of factors influencing ITO decision in various contexts.

This research examines a conceptual model that shows impacts of different attributes including technological, organizational and environmental on the Iranian banks’ ITO decision. To validate the research hypotheses, the partial least squares (PLS) technique for data analysis, is utilized.

The results of this study derived from the theoretical discussion of hypotheses illustrated that 9 of 11 assumed factors (i.e. perceived tangible benefits, perceived intangible benefits, perceived risks, perceived information security/privacy, complete contract establishment capability, making strong trustworthy relationship capability, uncertainty in business requirements, external pressure and market maturity) influence ITO decision in the target industry. The findings also confirmed that the size of the bank and competitors’ absorptive capacity did not exert any influence on their service outsourcing decision.

The sampling was confined to experts in the banking industry. Also, the results of this study reflect Iranian perspective. Consequently, generalization based on this sample would be interpreted cautiously and a limitation of the context should be kept in mind.

Insights into policymaking for suitable drivers to outsource e-banking services in the context of a less developed country are the main outcomes of the current research.