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Most models attempting to give an account of trade-induced symmetric increase in wage inequality have abandoned the factor price equalization (FPE) framework. The present chapter retains the FPE framework and identifies a plausible route through which trade might increase wage inequality in all trading countries. A two-sector model with one constant returns sector producing basic goods and another increasing returns to scale sector producing fancy goods is developed. A quasi-linear utility function is used to capture the divide between basic and fancy goods. There are two types of productive factors, skilled and unskilled labour, and they differ with respect to their occupational options. Skilled labour can work both in the skill using fancy goods sector and in the unskilled labour using basic good producing sector, whereas unskilled labour is tied down to unskilled job. The model holds possibilities of multiple equilibria and under reasonable parameterization skill premium increases in all countries following trade.

The purpose of the study is to analyze the risk of violent conflict with the global conflict risk factors in the Middle East economies by using an integrated fuzzy decision approach. For this purpose, five different dimensions and 24 different criteria are defined by analyzing similar studies in the literature. The dataset is borrowed from the European Commission, and experts appointed for the linguistic evaluation of each dimension and criterion. Additionally, fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) methodology is used to weigh dimensions and criteria and Multi-objective Optimization on the basis of Ratio Analysis (MOORA) approach is considered to rank the countries with respect to the conflict risk. Social dimension was concluded to have the highest importance of the Global Conflict Risk Index. Moreover, Syria, Libya, and Saudi Arabia were identified as the countries that have high conflict risk. Because these countries have high risk of facing conflict in the future, it is strongly recommended that they should primarily focus on social factors in order to minimize this risk.

Improving food security at the household level is very crucial in India as here many people are suffering from persistent hunger and malnutrition. In India, mounting pressure of population, adverse threats of climate change, fragmented land holding, high input cost etc. are very important which prevent to ensure food security. In India, there is malnutrition in all age groups, especially among children. Problem of low birth weight due to undernutrition of mother during pregnancy and underweight of children is very common in the country. The purchasing power of certain section of the society is so low that they cannot access food at the market price. They need the safety net of food subsidy. In India, food problem in the normative sense still continues to exist as millions of poor suffer from persistent hunger and malnutrition. This is the task to which food security system must address itself in future. There are some important factors which can increase yield growth and domestic supply of food substantially. Among these factors education and knowledge regarding improving farm efficiency, provision of an improved agricultural technology to the farmers, delivery of modern farm inputs, technical know-how, institutional credit to the farmers, and crop diversification are very essential to build a huge stock of food grains in India. Educated and trained people can acquire new skills and technologies required for growing agricultural output to meet the domestic demand.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.