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A multitude of factors influence the information technology outsourcing (ITO) decision. Organizations must systematically evaluate these factors prior to making the ITO decision. The purpose of this paper is to provide an in-depth analysis toward understanding the critical factors in affecting ITO decision in the context of e-banking services.

The effect of technological, organizational, and environmental attributes on e-banking services outsourcing decision were investigated in this paper. The study was carried out using the quantitative research methodology based on a survey of 23 banks. The partial least squares technique was utilized as the method of data analysis.

The results of the data analysis illustrated that nine out of 11 assumed factors (i.e. perceived complexity, perceived cost, service observability to the client, cultural fit between client and supplier, perceived loss of organizational knowledge, prior outsourcing experience, external pressure, market volatility, and suppliers’ power) influence the outsourcing decision of e-banking services. The findings also confirmed that the nature of the service and client IT capabilities did not exert any influence on the outsourcing decision.

The study is among the first kind of ITO decision research which empirically investigates the effect of service observability, cultural fit, perceived loss of organizational knowledge, external pressure, market volatility, and suppliers’ power amongst other factors on the ITO decision. The findings from this study provide insights for the banks and service providers to better understand the factors affecting the outsourcing decisions of e-banking services in contexts of less developed countries. Implications based on a specific situation of the Iranian banking sector is also proposed.

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.

The theories of transaction‐cost economics, the resource‐based view and the core competencies approach have been used extensively to justify the rationale behind strategic decisions on outsourcing, but their validity has not been investigated yet in comparative empirical research. Additionally, no study has examined the operational effects of these decisions in‐depth. The purpose of this paper is to fill these two gaps in the academic literature.

A literature review confirms the existence of these gaps and informs hypotheses based on the three theories. Additionally, the model for continuous decision making on outsourcing is used to systematically collect data from five cases studies. The cases – all make‐to‐order or engineering‐to‐order – have been analysed on effects for operational performance and control resulting from strategic decision making on outsourcing.

From this evaluation, it appears that these companies perform weakly on the control of the outsourced activities. Furthermore, it seems that the (manufacturing) strategy is disconnected from outsourcing practices and that outsourcing hardly contributes to competitive advantage. Moreover, from some of the case studies it appears that the decision for strategic outsourcing is irreversible. Finally, traditional criteria and behaviour during decision making prevail, i.e. a cost‐driven perspective, which does not address contemporary challenges.

Despite being explorative and based on only five cases, these findings indicate that strategic decision making on outsourcing based on the three theories insufficiently accounts for operational issues that emerge later during manufacturing; it might be necessary to revise the theoretical base for outsourcing to include management of outsourced manufacturing activities.

The findings imply also that managers in companies, in any case those firms that operate on the basis of make‐to‐order or engineering‐to‐order, should be less “rushed” into strategic decision making on outsourcing that has adverse effects. Rather, outsourcing requires integral decision making in contrast to factual decision making that displayed signs of bounded rationality (particularly expressed through the focus on cost savings).

The dominant, one‐sided view of the cost perspectives contributes to the notion that the shareholders' interests for short‐term profitability conflict with long‐term organisational health (apparent through the impact on operational management of outsourcing activities).

Stakeholders involved in strategic decision making might use this research to evaluate fundamentally decisions that cover outsourcing. At the same time, for consultants and practitioners it offers insight that is complementary to the often one‐sided strategic decision making with its focus on cost reductions. Furthermore, this paper demonstrates the limited validity of current theories that underpin strategic decision making on outsourcing and provides an impetus for academics to develop more appropriate theory.

This paper aims to present a strategic framework for make‐or‐buy (MoB) decision‐making process and a case study based on the framework. This framework can be applied to all the scenarios of MoB decision‐making that includes making decisions for new components and reevaluating the decisions for presently in‐sourced or outsourced components.

Based on this study of an Indian Automobile Company and review of the literature the paper proposes a strategic framework for MoB decision‐making. Unlike previous academic attempts, where a framework is developed first based on the existing theories followed by illustration through case studies, our approach starts with a case study, the paper then proposes a framework that best suits the company's need. Later the paper discusses the specific features of the framework that makes it applicable to other manufacturing sectors.

The sourcing decision‐making for any firm is a complex and dynamic process where, after stipulated period firms have to reevaluate their decisions. Existing frameworks treat both fresh and reevaluated decisions alike. It is found that the need for a framework with separate provision for outsourcing decision reevaluation. The paper identifies partial outsourcing as a strategic option to avoid supplier opportunism. It also explicitly suggests the exact decision point where risk evaluation is necessary during MoB decision‐making process.

The proposed framework takes a detailed and critical look at actual outcomes in terms of costs, competences and risk. Three important considerations adopted from the literature and incorporated in the proposed framework, makes it unique: provision for reevaluating the MoB decision, consideration of partial outsourcing as a strategic option other than purely making or buying, identification of decision points where risk evaluation is necessary.

Although the factors that affect the decision of outsourcing are variant from one industry to another and from one application to another, this paper aims to investigate the factors that influence the decision of outsourcing using a systematic literature review (SLR) approach to fill the gap of the literature and focus on maintenance activities in terms of industrial firms. Furthermore, the analytical hierarchy process (AHP) method will be developed to prioritize the important factors according to the experts' judgments and reveal the factors' weights to support decision-makers in thermal power plants to realize the factors that have a high impact on outsourcing maintenance decisions and enhance their decision-making to increase power plant competitive advantages over quality, availability and safety requirements.

The purpose of this research is to prioritize the factors that influence outsourcing maintenance decisions to be considered by decision-makers in power plants before making a decision of outsourcing maintenance activities. In this research, an SLR approach was applied to identify the factors in terms of industry and rank them accordingly using factors' frequency process. A questionnaire survey was designed to seek the experts' opinions to prioritize the factors that influence the decision of outsourcing maintenance activities in power companies using AHP. The research found that “Improve service quality”, “acquire new skills or technical knowledge” and “Function difficult to manage” have the first priority before making the decision of outsourcing maintenance activities in the context of power plants.

The decision of outsourcing regarding maintenance activities in the context of industry, as well as determining the most critical factors among the extracted factors from the literature and rank them accordingly using factors' frequency process. Next, a questionnaire survey was designed and conducted to seek the experts' opinions to prioritize the factors that influence the decision of outsourcing concerning maintenance activities in thermal power companies using AHP method. According to the SLR, industrial companies are mainly pursuing outsourcing maintenance services to focus on core activities, save overall costs and improve service quality.

This is an original research paper out of an MSc thesis submitted at the Industrial Engineering Department, University of Jordan.

Discussion regarding the implications of and antecedents to the decision to outsource manufacturing functions has dominated both the academic literature and popular press for over 30 years. However, economic and competitive landscapes across the globe have changed such that the tenability of outsourcing is being re-evaluated by many organizations. Using the rich body of literature regarding the decision to outsource as a starting point, the purpose of this paper is to investigate the reasons why firms insource and the associated implications thereof.

This case study research captures data from 12 firms in the manufacturing industry that have insourced a previously outsourced function. Data were collected via interviews with executives, researcher observations, and archival records over a nine-month period.

The findings suggest that the primary drivers for insourcing were predominantly the same as those cited for outsourcing. However, insourcing decisions are often made in response to a specific, external trigger event and not necessarily in concert with long-term, strategic goals. This is in contrast to firms’ desires to make more strategic location decisions. The findings also show that insourcing/outsourcing location decisions require continuous evaluation in order to optimize competitiveness and align with long-term firm goals.

This research contributes by not only assimilating and gaining an understanding of key factors affecting insourcing decisions, but also by establishing a baseline for future investigation into this burgeoning area via the presentation of testable propositions.

This paper provides insights for supply chain, logistics, and operations management professionals who seek to better understand the critical factors that should be considered when deciding whether or not to insource.

The benefits of insourcing are being considered to a greater extent across industry, yet there is a dearth of academic or practitioner literature that business leaders and academicians can use as the basis for examining this decision. This research provides both the basis and motivation for developing knowledge in this area of increasing importance.

The purpose of this paper is to compare service outsourcing decisions between public and private organizations and against a theoretical decision-making framework to both understand differences across the sectors and to provide an outsourcing framework more suitable specifically for outsourcing (and for the public sector).

Multiple case studies, i.e. a study of phenomena (here outsourcing process) at various sites is used as an approach.

Findings indicate that public sector organizations are trailing behind private sector organizations in how the decision-making process is conducted and resourced. The authors suggest regular evaluation of service functions internally as a starting point for the outsourcing service decision-making process. Additionally, the market analysis should be done prior to cost analysis and benchmarking as the availability of suppliers more qualified than the internal process defines the make or buy decision.

The newly developed framework based on empirical evidence includes the following phases: regular evaluation of service functions, market analysis, cost analysis and benchmarking and evaluating relevant service activities. Applying the framework improves the efficient delivery of outsourced public services and brings public sector outsourcing closer to the professionalism currently present in the private sector.

Choosing between in-house and outsourced service delivery is a fundamental decision in both private and public sector organizations. Previous outsourcing research has mostly focused on the private sector, with limited focus on the public sector’s outsourcing processes, yet understanding of the service outsourcing process is important in ensuring organizational competitiveness and cost efficiency.

As global markets become more customer oriented, rapid response rates are now often among the most important metrics in business. To achieve the required agility, many companies are forced to take decisions of whether to vertically integrate a value chain or to outsource some of its operations. The purpose of this paper is to develop a sequential decision modeling process to enable determination of optimal outsourcing policy decisions with respect to the variables such as warehouse inventory, in‐house manufacturing capacity and the ordering cost to the outsource supplier.

In this paper, a discrete dynamic programming‐based modeling framework is developed for analyzing outsourcing policies for supply chain management problems. Specifically, the assumed situation entails a dynamic decision between in‐house production vis‐à‐vis outsourcing, which is contingent upon several factors such as demand during the period under consideration, available inventory, available production capacity of the firm, ordering cost to the outsourced supplier and the fixed capital cost of machine capacity enhancement.

The framework enables the determination of a time‐based outsourcing policy, which is a prescription regarding: the optimum quantities to be produced in‐house vs those to be outsourced, and the level of capacity to be set in each period.

The problem investigates useful managerial decisions that are relevant to a real life dynamic situation within a manufacturing industry when effecting 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.

The purpose of this paper is to understand the reasons behind the intent for information technology (IT) outsourcing in academic institutions in GCC countries. It also aims to develop a multi-criteria decision model (MCDM) to aid the critical decision of IT outsourcing vendor selection.

The research utilizes a questionnaire-based survey to investigate reasons of IT outsourcing intent and the factors considered important for IT outsourcing vendor selection in academic institutions. The results of questionnaire-based study were utilized to develop a grey theory-based MCDM for vendor selection.

The results show that facilitating access to new technology, focus on core-competence, saving staff costs, and improved customer service are the most important factors for IT outsourcing intent while reputation of vendor, access to the state of art technology, quality of service, and knowledge of industry were considered as the most important factors for IT outsourcing vendor selection. Grey theory-based decision model was applied to a real case to facilitate the decision of selection of an IT outsourcing vendor.

Academic institutions that plan to outsource IT in future would be the major beneficiaries of this study. They can utilize the multi-criteria model to select the best vendor. The model facilitates a more rational decision making as it incorporates several criteria considered important for IT outsourcing vendor selection.

This study contributes to the body of research on IT outsourcing. It is first of its kind with its focus on academic institutions in GCC countries where currently education is a priority and IT is a backbone for its delivery. Another novelty of this research is that it propose a MCDM for IT outsourcing vendor selection. The findings of this study would serve as a guide to those institutions that intend to outsource IT functions to meet the ever growing needs of managing IT effectively.