This study empirically examines the association among R&D engagement, seeking finance and perceived financial constraints in high-tech SMEs. R&D engagement includes the decision of R&D engagement (whether a firm was engaged in R&D) and the degree of R&D engagement (actual R&D expenditure). I take into account both financial constraints and the former process, seeking finance. This paper proposes two sequential hypotheses. Firstly, I postulate that the decision of R&D engagement has a positive relationship with seeking finance in high-tech SMEs. Next, for those high-tech SMEs that applied for fund, I presume that perceived financial constraints are negatively related with the degree of R&D engagement. The empirical results are consistent with my expectations and thus the hypotheses are supported.

In the year 2008 Lord Prof. Momtchil Dobrev developed the "Theory of generating crises". The theory of generating crises has been developed by analyzing all the relationships between countries, and lysing the causes and consequences of crises. The theory examines all possible options for generating crises. The theory ultimately leads to the conclusion that each crisis begins on the basis of a conscious action, whether of a state, of a government, of financial circles, of a president of one or more countries, of financial actors, of the financial market , stock markets, financial institutions, private interests All the factors that triggered the crisis in Greece, the conditions of neoliberalism, globalization that helped the crisis, the conditions in Greece, the development of the public debt, its increase, the presence of corruption and mafia at the different levels of government in Greece. In the paper are described the real reasons for the start of the financial crises in Greece.

In the year 2008 Lord Prof. Momtchil Dobrev developed the "Theory of generating crises". The theory of generating crises has been developed by analyzing all the relationships between countries, and lysing the causes and consequences of crises. The theory examines all possible options for generating crises. The theory ultimately leads to the conclusion that each crisis begins on the basis of a conscious action, whether of a state, of a government, of financial circles, of a president of one or more countries, of financial actors, of the financial market , stock markets, financial institutions, private interests All the factors that triggered the financial crisis in all over the world 2008 , the conditions of neoliberalism, globalization that helped the crisis, the facts of In this paper are given the proofs for the reasons of the financial crises 2008 all over the world based on the Momtchil Dobrev's " Theory of generating ofcrises" and based on Momtchil Dobrev's " Theory of mafia".. In the paper are described the real reasons for the start of the financial crises 2008.

Competitive advantage for e-business requires more accurate information and precise decision to aid international companies to analyze and predict sales forecasting trend optimizing potential profits and reduce losses. We propose an improvement model to minimize the forecast error for the time series of daily sales information. We use real international restaurant data as the basis to show the performance of our sales prediction model. Multiple time series are considered in this model to vastly improve the forecasting outcome. Those data series are combined from EPARK Company and open data like weather, into a multi-series data, our forecast model extend the previous predecessor tremendously. Various residue computations during the process are compared and discussed. We applied the model for data from different area to compare the difference respectively. Result shows a proper selection of computation method is more dynamic than a fixed method for shops in different geographic area even within the same company. In addition, analysis shows significant error reduction in forecasting achieved when open data like weather information is included in the regression process. Thus international business can be more agile and flexible for just-in-time stock inventory and better resource allocation strategy.

The international success of companies and industries depends largely on their ability to develop and apply innovations adapted to suit the particular needs of global markets which change constantly and are interrelated. According to several studies, there is an urgent need to manage Medical Tourism from the cluster perspective since this leads to innovation and competitiveness of companies, and their vision adapts to a world that constantly changes. Based on this information, a qualitative and descriptive, non-experimental and transversal study was raised, which objective was to identify the characteristics that define the dental services provision that belongs to the medical cluster in Tijuana's city, which favor or limit its consolidation in the international market. Dental providers that belong to the “Baja Medical Tourism” and dental offices promoted in the Secretary of Tourism platform, “Baja Health Tourism”, from Baja California State were analyzed. In order to consolidate and strengthen the medical tourism, is considered that the organizations and local governments must establish certificates, regulations and standards be adapted according to the requirements and international demands, enabling their legitimization, and ensure an integral dental health service provision and the patient wellbeing.

Big data is prevalent in our daily life. Not surprisingly, big data becomes a hot topic discussedby commercial worlds, media, magazines, general publics and elsewhere. From academic point of view, isit a research area of potential worth being explored? Or it is just another hype? Are there only computer orIS related scholars suitable for big data research due to its nature? Or scholars from other research areas are alsosuitable for this subject? This study aims to answer these questions through the use of informetricsapproach and data source form the SSCI Journal database, leveraging informetric‟s robust natures ofquantitative power of analyze information in any form onto the data source of representativeness.

This research shows that big data research is at its growth phase with an exponential growth patternsince 2012 and with great potential for years to come. And perhaps surprisingly, computer or IS relateddisciplinesare not on the top 5 research areas fromthis research results. In fact, the top five research disciplinesare more diversified then expected: business economics (#1), Government Law (#2), InformationScience/ Library Science (#3), Social Science (#4) and Computer Science (#5). Scholars from the USuniversities are the most productive in this subject while Asian countries, including Taiwan, are alsovisible. Besides, this study also identifies that big data publications from SSCI journal database during2005-2015 do fit Lotka‟s law. This study contributes tounderstand the current big data research trends and also show the ways toresearchers who are interested to conduct future research in big data regardless of their research backgrounds.

The study to explore challenges impeding women’s participation in fish farming/aquaculture in Zimbabwe’s marginalized communities was carried out in Siabuwa area of Binga District; Matabeleland North Province. The treatise’s main thrust was to establish the current status of women’s involvement in projects earmarked for community development as elsewhere, particularly Africa’s fast developing economies women have been central in advancing rural livelihoods. The study endeavored to streamline women’s contributions in different sectors of the economy, barriers encountered and the possible benefits that can accrue from the aggregation of women into community based income generating projects. A qualitative approach augmented with descriptive design in order to obtain a comprehensive understanding of livelihood issues from participants was employed. Experts from the government of Zimbabwe’s Livestock Development Unit (LPD) and other stakeholders partnering the government in the district provided secondary data in the form of archival material and records and which were so essential in the compilation of the required relevant facts. Questionnaires and interview guides were the main instruments used to collect primary data from a sample of 50 subjects, who were purposively selected from a population of 400 inhabitants of Siabuwa community. The data collected were analyzed through descriptive statistics where tables, frequency counts and percentages were finally used for purposes of presenting the findings. The findings revealed that though women are segregated from active participation in community projects they have the potential to make immense contribution in areas of management, production and marketing which are crucial facets for sustainable community development. It is therefore opined that the inclusion of women in fish farming would usher a new dimension which would go a long way in an endeavor to address gender inequality in Zimbabwe’s rural communities.