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Entrepreneurial Rise in the Middle East and North Africa: The Influence of Quadruple Helix on Technological Innovationexplores the relationships and inter-dependencies between innovation, political regimes, and economic and social development throughout the Middle East and North Africa region.

During the last two decades, India has witnessed several trade and industrial policy reforms. The objective of the study is to examine the relationship between dynamism of India's two-way trade, measured through Marginal Intra-Industry Trade (MIIT) index, and labour market adjustments, reflected through absolute employment changes, in select manufacturing sectors over 2001–2015. India's MIIT in select sectors generally display an upward trend over the sample period, while a mixed dynamics is observed on the employment front. The generalized method of moments (GMM) estimation results indicate that MIIT, increase in productivity, skilled workforce intensity, industrial concentration, incremental FDI inflows and trade openness positively influence absolute employment changes, whereas unskilled wage exerts a negative impact on the same. The analysis further concludes that high relative growth rate, skill-intensity, incremental FDI inflows and higher productivity in a sector, also characterized by higher MIIT, may lead the firms to employ more productive and competitive resources, resulting in higher absolute changes in employment. The obtained results do not support the Smooth Adjustment Hypothesis (SAH) predictions in the Indian context.

In this complex world, coping with daily problems is quite tedious. The more advancement in technology means more difficulties in decision-making process. Hence some analytical tools are needed to deal with improvement in decisions being made. A classic AHP model enables us to make efficient decision by reducing the complex issues. It takes multiple parameters into consideration. One of the area where decision-making is quite a tough job is Politics. Selection of the electoral party in any elections, be it Lok Sabha elections or Rajya Sabha elections, has been a matter of discussion for the voters as well as the media. The decisions are reflected when uncertainties are added in the opinions of the domain experts due to multiple parameters. In this paper we have proposed a model for rectifying the uncertainties using multi criteria decision analysis and analytic hierarchy process (AHP).