The main objective of this study was to examine the direct and indirect effects of organizational culture, knowledge management and organizational learning on innovation. The study combined knowledge-based view theory (KBV), competitive value framework to develop a new original theoretical framework for investigation of factors that affect innovation. Data was gathered from a survey of 279 companies supplying automobile parts to Iran Khodro Company, an Iranian leading automobile manufacturer. Study discovered that organizational culture and knowledge management influenced organizational innovation. Besides that, organizational learning played a significant role as a mediator in that relationship. However, knowledge management was not considered as a mediator in the relationship between organizational culture and organizational innovation. As a practical contribution, the findings of the study serve as a guideline for policy makers and managers in the formulation of policies and strategies for sustainable innovation. Knowing the effectiveness of the innovation can help the government to make decisions about the continuation of this policy. Moreover, study contributes to firm management in formulation of policies and strategies for sustainability in innovation context. Innovation assists organizations supplying the product or service in the automotive sector to operate innovatively, competitively and profitably.

Sustainable development is inconceivable without healthy real estate market. A housing project can be regarded as sustainable only when all the dimensions of sustainability (environmental, economic, and social) are dealt with. There has been an increased interest in using sustainability indicators for evaluating the impacts of the new development projects. Although international literature is rich in sustainability assessments, there are no tools developed for assessment of new residential projects in the specific context of the Baltic States. Therefore, the aim of this article is to fill this gap and to propose an integrated, hierarchically structured system of sustainability indicators to be used for assessment of the new housing development projects. This aim is achieved through accomplishing three objectives. First, based on a review of literature related to assessing building project performance and sustainable development in construction, the paper proposes an original hierarchically structured system of sustainability indicators suitable for the Baltic context. Second, based on a survey of experts, significances of criteria are estimated by the Analytic Hierarchy Process (AHP) method. Finally, paper proposes recommendations to government authorities and real estate developers as to how to enhance the performance of new residential projects according to the principles of sustainability.

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Abstract:Housing is one of the most important public priorities affecting urban development and therefore has a significant impact on sustainable development. A housing project can be regarded as sustainable only when all the dimensions of sustainability (environmental, economic, and social) are dealt with. The aim of the present article is to propose an integrated, hierarchy-based, multiple-criteria approach for the sustainability assessment of new residential development projects, which is achieved through the accomplishment of three objectives. First, this paper proposes an original framework for a multiple-criteria assessment of new residential projects. Second, the proposed methodology is demonstrated in the assessment of nine residential development projects in Lithuania, Latvia, and Estonia according to a hierarchical system of 53 sustainability indicators developed specifically for the Baltic context. Finally, based on the research results, the paper proposes recommendations to stakeholders for enhancing the performance of new residential projects according to the principles of sustainability. The proposed sustainability assessment approach is not limited to the Baltic States and can also be used in other countries, applying the adapted sustainability assessment indicators.