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This paper proposes the Analytic Hierarchy Process (AHP) as a tool to rank different critical success factors (CSFs) for construction projects in Lithuania. Considering the current lack of understanding of CSFs within the local context, this study is one of the first attempts to gain an understanding of the CSFs in the local industry. Our study revealed that, for construction projects in Lithuania, clear and realistic project goals, project planning, the project manager's competence, relevant past experience of the project management/team, the competence of the project management/team, clear and precise goals/objectives of the client, the project's value, the project's complexity and uniqueness, the project manager's experience, and the client's ability to make timely decisions are the top-ranking CSFs. In view of these findings, the study highlighted the key areas for successful implementation of construction projects in Lithuania.

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This paper aims to identify a comprehensive list of critical success factors for construction projects in Lithuania. Based on the available literature review, this paper identified 71 success factors under 7 broad groups. Based on the survey results, ten factors including project manager competence, project management team members' competence, project manager coordinating skills, client clear and precise goals/objectives, project value, project management team members' relevant past experience, project manager organising skills, project manager effective and timely conflict resolution, client ability to make timely decision, and project manager experience were determined as the most important success factors for construction projects. These critical success factors are of great significance both to researchers and industry practitioners.

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Selecting a construction contractor is a major decision which may influence the progress and success of any construction project. The paper analyses criteria used to evaluate qualification of contractors in Lithuania and abroad. Both in Lithuania and abroad, the bid price of construction works is the main criterion for evaluation of con‐tractors. The lowest price often cannot guarantee commitments on quality and duration of a construction project. Therefore, when selecting a contractor, a client must not only compare bid prices but also set other criteria for evalua‐tion of qualification and determine their weight. A contractor must be selected according to both quantitative and qualitative criteria, and bids should be compared. Only on the basis of quantitative and qualitative evaluation criteria and by comparing bids of contractors it is possible to select a qualified, competent and reliable contractor, to evaluate its qualification, economic and financial condition and technical capability and skills and to achieve relevant results in a construction project. The paper provides an investigation of Lithuanian companies, which analyses issues related to evaluation of contractors’ qualification. The paper is completed with a discussion of the investigation results and delivery of proposals based on expert estimations of the weight of criteria for evaluation of contractors.

This study aims to evaluate technology innovation capabilities (TICs) of research and technology organizations (RTOs) by applying Fuzzy-DEMATEL & ANP techniques, in order to provide a practical lookout for their firm’s requirement in this regard. Based on literature review, six main criteria and eighteen sub-criteria are extracted. Fuzzy-DEMATEL is applied to analyze the casual relationships among the criteria and subcriteria. After identifying the relations between the criteria a questionnaire is developed and distributed among sixteen experts to assess the validity of the questionnaire, then the relations are weighted by ANP. It is concluded that proposed model is a comprehensive model that integrates qualitative and quantitative approaches to develop a step by step model to reach to the main TICs criteria in RTOs. Although, there are many previous researches illustrating various models to evaluate TICs, there is no formidable one using these techniques combination. Based on the abilities of the techniques and the results emerged this paper has prepared a robust model available for other RTOs to adopt as a true reference to reach to their TICs.

The complexity of public–private partnership (PPP) projects ensures that risks could emerge and spread in unpredictable ways if they are not well identified and managed. The emergence of PPP projects has brought major changes in the construction industry, the most notable being in procurement methods influencing risk allocation to private parties. Thus, it is crucial to have an effective risk management for public and private partners to eliminate or minimise risks. Formulating an effective risk management system is a crucial challenge faced by both of parties in order to minimise or optimise risks. The aim of this study was to investigate the process of risk identification of private partners in Malaysian PPP projects. Data were collected throughout a 2-month period using a survey with a sample of nine Malaysian companies engaged in PPP projects, and the survey results were analysed using mean scores. The findings indicate that due to a lack of knowledge and experience of Malaysian private partners in the risk identification process, a comprehensive database for risk identification is highly necessary for the private sector. Another issue emerging from the findings is that it may be reasonable to use a combination of risk identification tools for PPP projects with a high level of complexity. The findings of the present study can greatly assist public and private partners to select the most appropriate tools for risk identification at the early stages of PPP projects.