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Using Nigeria, as a point of reference, this study aims to explore the applicability of climatic variables as analytically valid factors for conceptual cost estimation. This is in view of the vastness and topographical alignment of Nigeria's landmass, which makes it a country of extreme climatic variability from north to south. As construction costs in Nigeria, similarly, tend to show a north-south alignment, the study's objective is to establish cost-estimating relationships (CERs) between the variability of climatic elements and the variance in construction cost, to arouse interest in the concept.

Deploying correlation analysis and multiple regression analysis, significant associations/relationships between meteorological variables and building cost for selected locations, following a North-South transect of the major climatic zones, are sought, to explain climate-induced construction cost variance. Validation of the regression model was carried out using variance analysis and the Mean Absolute Percentage Error of a different dataset.

Climatic indices of atmospheric moisture exhibited strong direct and partial correlations with construction costs, while sunshine hours and temperature were inversely correlated. The study further establishes statistically significant CERs between climatic variables and building cost in Nigeria, which accounted for 47.9% of the variance in construction cost across the climatic zones.

The study outcome provides a statistically valid platform for the development of more elaborate analytical costing models, for prototype buildings to be cited in disparate climatic settings.

This study establishes the statistical validity of climatic variables in constituting CERs for predicting construction costs in disparate climatic settings.

This research aims to propose a model for the complex decision-making involved in the ecological restoration of mega-infrastructure (e.g. railway engineering). This model is based on multi-source heterogeneous data and will enable stakeholders to solve practical problems in decision-making processes and prevent delayed responses to the demand for ecological restoration.

Based on the principle of complexity degradation, this research collects and brings together multi-source heterogeneous data, including meteorological station data, remote sensing image data, railway engineering ecological risk text data and ecological restoration text data. Further, this research establishes an ecological restoration plan library to form input feature vectors. Random forest is used for classification decisions. The ecological restoration technologies and restoration plant species suitable for different regions are generated.

This research can effectively assist managers of mega-infrastructure projects in making ecological restoration decisions. The accuracy of the model reaches 0.83. Based on the natural environment and construction disturbances in different regions, this model can determine suitable types of trees, shrubs and herbs for planting, as well as the corresponding ecological restoration technologies needed.

Managers should pay attention to the multiple types of data generated in different stages of megaproject and identify the internal relationships between these multi-source heterogeneous data, which provides a decision-making basis for complex management decisions. The coupling between ecological restoration technologies and restoration plant species is also an important factor in improving the efficiency of ecological compensation.

Unlike previous studies, which have selected a typical section of a railway for specialized analysis, the complex decision-making model for ecological restoration proposed in this research has wider geographical applicability and can better meet the diverse ecological restoration needs of railway projects that span large regions.

Achieving better performance and a sustainable competitive advantage is essential for survival in the hotel industry. However, literature is scarce on which factors local hotel businesses in developing countries should rely on to compete successfully. With an emerging economy and significant potential for growth in the travel and hospitality sectors, Colombia is seeking to improve the performance of its hotel industry. To achieve this goal, exploring and analyzing the effects of the strategies and practices implemented is essential. Accordingly, this study investigates the dynamics of the interactions between strategies, process innovations, outsourcing practices and operational quality in the hotel industry in Colombia.

The methodology used in this research is quantitative, using structural equation modeling based on data collected from 150 valid questionnaires.

The strategies of the hotel sector have an impact on hotel performance. Although process innovation demonstrably affects quality and outsourcing, there is a low impact on the performance of the studied hotels. The hotel sector lacks strategy autonomy as strategies are not directed to the organization's overall improvement but only to satisfy stakeholders' requirements.

This paper offers valuable insights for organizations when implementing strategic innovation initiatives. It provides information relevant to Colombian government entities on the creation of processes, economic policy plans and business assistance programs for boosting the financial and commercial sustainability of Colombian service sector businesses. The studied organizations need to redefine the role of their strategies, process innovation, outsourcing projects and quality standards to achieve adequate performance, as all four dimensions together are required to foster competitiveness.

This paper offers valuable insights for organizations when implementing strategic innovation initiatives. Additionally, it provides information relevant to Colombian government entities on the creation of processes, economic policy plans and business assistance programs for boosting the financial and commercial sustainability of Colombian service sector businesses. The studied organizations need to redefine the role of their strategies, process innovation, outsourcing projects and quality standards to achieve adequate performance, as all four dimensions together are required to foster competitiveness.

Developing successful strategies is vital to generating performance. Quality and safety are critical strategies to achieve a sustainable competitive advantage. But literature is scarce on which factors local hotel businesses should rely on to compete successfully in developing countries. In particular, the concept of outsourcing in a highly distrusting developing country has not been addressed adequately. This research contributes to literature by evaluating quality as a competitive strategy in the hotel sector in a developing country to achieve a superior performance.