Role of Social Media in Socioeconomic Development: Case of Facebook

To study the role of Information and Communication Technology (ICT) on countries’ socioeconomic development, the paper investigates the case of Facebook penetration on improving their standing as measured via GNI per capita PPP (Gross National Income per capita based on purchasing power parity). We use four macro factors categories (political, economic, demographic, and technological) in addition to Facebook penetration per capita in order to measure the potential influence of various factors on the socioeconomic level of countries. While the analyses of ICT effect on development has been the focus of many papers in the past, the specific analysis of social media is scarce. Compared to previous studies investigating social media role, we use a large dataset covering all classes of countries and examine holistically many types of determinants using different models. In addition, we distinguish our paper using the economic classification of countries according to the World Bank. Our study indicates that Facebook penetration has a significant positive role on the socioeconomic level of countries, but such role varies depending on the countries’ classification level. Besides, there is a decreasing marginal effect showing the importance for policy makers to assess the complex dynamic behind the characteristic of each country

Misconceptions and Realities of the 2011 Tunisian Election

In response to the 2011 Tunisian elections and the uncertainty surrounding Tunisia's future, we offer an empirical explanation of the election's results using socioeconomic and demographic variables. We aggregate many political analyses to describe the main parties and give insights into their strengths and weaknesses. We also examine common misconceptions advanced during the elections. Finally, we include a proposed electoral map that could be used by politicians to plan their future political strategie

Sales performance measurement in bank branches

Studies of bank branch performance have, to date, concentrated on obtaining a single perspective of efficiency. As the financial services industry has intensified, banks have increasingly engated in a proactive, differentiated and customer-based strategy in retail banking in which the sales component of the bank branch activity is emphasized. With the emerging sales culture within banks, as discussed earlier, there is a need to evaluate both sales and service performance. Cook et al. [12] have proposed a model to evaluate simultaneously the sales, service, and aggregate efficiencies of a bank branch. This model accounted for the fact that inputs, in particular resources, are often shared among these functions. In this paper, we extend the data envelopment analysis additive model using goal programming concepts. We thereby derive optimal efficiency scores while taking into account non-volume related activities, that is those involving resources that cannot be assigned to a specific input or output. Again, the proposed model derives an optimal split of the shared resources that maximizes the aggregate efficiency.Data envelopment analysis Sales Service Shared resources Banking Efficiency Non-volume related activities

FINANCIAL LIBERALIZATION AND EFFICIENCY IN TUNISIAN BANKING INDUSTRY: DEA TEST

IMF policies have been widely criticized in the aftermath of the Asian crisis. Key critics questioned the appropriateness and the sequencing of financial liberalization programs which, along with insufficient monitoring and inadequate prudential regulations, left the financial sectors of the affected countries highly leveraged and exposed. This paper examines the impacts of similar reforms on the efficiency of the banking system in Tunisia, a country whose economy has been reshaped by the IMF/World Bank prescribed economic adjustment plans since 1987. Using various DEA models and panel data covering the period 1992–1997, we evaluate the individual effects of each component of the reforms on the banking industry overall.Meanwhile, we compare the effects on banks because of the different ownership structures over time. We also pay particular attention to specific factors that have kept the financial sector in Tunisia relatively stable in the midst of the global market turmoil caused by the Asian crisis.Tunisia, banking, efficiency, state-control, liberalization, private banks, public banks, data envelopment analysis