An Approach to Security for Unstructured Big Data

Security of Big Data is a huge concern. In a broad sense, Big Data contains two types of data: structured and unstructured. Providing security to unstructured data is more difficult than providing security to structured data. In this paper, we have developed an approach to provide adequate security to unstructured data by considering types of data and their sensitivity levels. We have reviewed the different analytics methods of Big Data to build nodes of different types of data. Each type of data has been classified to provide adequate security and enhance the overhead of the security system. To provide security to a data node, and a security suite has been designed by incorporating different security algorithms. Those security algorithms collectively form a security suite which has been interfaced with the data node. Information on data sensitivity has been collected through a survey. We have shown through several experiments on multiple computer systems with varied configurations that data classification with respect to sensitivity levels enhances the performance of the system. The experimental results show how and in what amount the designed security suite reduces overhead and increases security simultaneously.     

Stakeholder Engagement: Defining Strategic Advantage for Sustainable Construction

Although sustainable development is increasingly becoming a part of business plans, it is unclear what makes the economic, social and environmental dynamics strategically compatible. This research examines which of the following in sustainable development – government policy, managerial attitude and stakeholder engagement – is the most influential on the profitability of companies in the UK construction sector. Quantitative and qualitative analyses were rendered through a survey and semi‐structured interviews. Patterns of ambiguity in legislation were discovered as an obstacle for changing the sector's mind‐set. Stakeholder engagement was identified as the defining factor increasing managers' awareness, helping legislation to be effectively implemented and making sustainability highly appealing to clients. These findings indicate that to gain competitive advantage, companies should embark on long‐term strategic alliances which adopt the proposals of environmental non‐governmental organisations and closely follow public opinion. This, strengthens brand equity, allows for premium pricing, increases market share and maximizes profit. Copyright © 2011 John Wiley & Sons, Ltd and ERP Environment.     

Country asymmetry,trade agreements,and transfers

Using a standard 2 × 2 trade agreement model, I show that the welfare effects of a free trade agreement (FTA) depend on the asymmetry on supply and demand functions. When countries are sufficiently asymmetric with respect to the size or the demand functions, the small country tends to be better off, while the large country is worse off. Thus, the small country must compensate the large country for the FTA to be incentive‐compatible. However, in the presence of sufficient asymmetry in the supply functions, the small country is worse off, while the bigger is better off. In this case, the transfer must flow from the large to the small country. This last finding helps explain why some FTAs between rich and poor countries provide for adjustment transfers to the latter.     

HOW CAN PUBLIC SPENDING HELP YOU GROW? AN EMPIRICAL ANALYSIS FOR DEVELOPING COUNTRIES

Although many studies indicate that both the level and composition of public spending are significant for economic growth, the results in the empirical literature are mixed. This paper suggests that the country sample selection and expenditure classification are important in explaining these conflicting results. The empirical analysis shows that the link between growth and public spending, especially its core component, is strong only for countries with macroeconomic stability and fast GDP per capita growth dynamics, which are also capable of using public funds for productive purposes.     

Women,Muslim Immigrants,and Economic Integration in France

Muslim immigrants to Europe display distinctive attitudes toward women in a wide range of survey data. This study investigates whether this translates into distinctive behavior. Relying on a dictator game in France and an identification strategy that isolates the effect of religion from typical confounds such as race, we compare the donations of matched Christian and Muslim immigrants and rooted French to in‐group and out‐group men vs. women. Our results indicate that Muslim immigrant participants deviate from Christian immigrant and rooted French participants in their behavior toward women: while the latter favor women over men, Muslim immigrants favor men over women.     

Price Discrimination with Private and Imperfect Information

In this paper, I investigate the competitive and welfare effects of the improvements in information accuracy in markets where firms can price discriminate after observing a private and noisy signal about a consumer's brand preference. I show that when firms believe that consumers have a brand preference for them, then they charge more to these consumers, and this price has an inverse U‐shaped relationship with the signal's accuracy. In contrast, the price charged after a disloyal signal has been observed falls as the signal's accuracy rises. While industry profit and overall welfare fall monotonically when price discrimination is based on increasingly more accurate information, the reverse happens to consumer surplus.     

Forecasting technology diffusion: a new generalisation of the logistic model

The present research proposes a new generalisation of the logistic model aiming at technology diffusion forecasting. Regarding criticisms and failures reported in the literature to apply logistic function for long-term forecasting, in our work we focused on short-term accuracy of forecast. To formulate the model, based on mathematical approximation, at first the differential equation governing the diffusion process is found and then by solving the derived differential equation, the forecast function is obtained. In all steps, mathematical tools from numerical analysis are used. We compared the New Generalized Logistic Model with eight of the most renowned models in the literature. The model led to more accurate fits and forecasts than those obtained from other models we applied for comparison.     

Competitive strategies,innovation, and firm performance: an empirical study in a developing economy environment

This paper studies the relationships between competitive strategies, innovation, and firm performance within the context of Turkish manufacturing companies. The data were collected from top management of the firms via Computer Assistant Telephone Interviewing method. One hundred and forty manufacturing firms operating in various sectors including textile, automotive supply, computer and electronics provide the basis for this empirical research. In order to test our model, we employ structural equation modelling using partial least squares. The results show that competitive strategies such as cost-leadership and differentiation can lead to innovation, which, in turn, increase firm performance. Managers implement cost-leadership and differentiation strategies to take part in competitive market conditions; however, they should put additional importance on innovation that plays a significant role as a bridge between competitive strategies and firm performance.     

The tortoise and the hare: the impact of employment instability on firm performance

The main objective of this study is to assess the influence of employment instability on firm performance in a sample of publicly traded firms. Competing theoretical arguments are considered with regard to likely outcomes associated with employment instability. A large sample of cross‐sectional time‐series data is then analysed using generalised estimating equations (GEE) regression techniques. Results indicate that employment instability is negatively associated with firm performance, although the relationship is also demonstrated to be quadratic (an inverse U‐shaped relationship). This suggests that the main relationship varies depending upon the level of employment instability. Industry characteristics are also examined as moderators of this main effect. The results suggest a disordinal interaction effect for industry differentiation, where employment instability is negatively associated with firm performance for firms in highly differentiated industries and positively associated in less differentiated industries.