Microfinance is an important component of the entrepreneurship ecosystem (Iansiti & Levien, 2004). This research explores prominent microfinance models and introduces leading microfinance institutions, in a certain format, practicing these models across the globe. Using primarily qualitative methods of investigation, it then identifies the use of microfinance by different organizations in Saudi Arabia. The study contributes a model of microfinance in Saudi Arabia upon the contemporary conventions, procedures, and practices (Saudi Arabian microfinance model, SAMFIN). It would assist the microfinance landscape and practices of leading institutions. Eventually, the study would ascertain and pinpoint the challenges and opportunities for the Saudi Arabian entrepreneurship ecosystem stakeholders to introduce the changes and additions required to make the Saudi microfinance landscape more dynamic, and vibrant, and contribute to and satisfy the community needs. Also provided is a brief impact of the Saudi Vision 2030. This work would offer guidance and learning for practitioners, lenders, borrowers, and academics alike both in and outside the country. It can be concluded that the loan limit in Saudi Arabia is substantially high and equals $2666; the microfinance in Saudi Arabia is evolving and the differences identified and discussed above imply that the SAMFIN and global models are quite different in approach and modalities.

Over the past couple of decades, GCC economies have become a major growth sector for the luxury goods industry. Many luxury brands including LVMH, Gucci and Hermes have been highly successful in penetrating Gulf Country markets, especially Saudi-Arabia. Many brands such as Prada and Mulberry have struggled gain a foothold in the Middle East (Amaldoss & Jain, 2005; Lynn & Harris, 1997; Worchel, 1992) Many analysts have ascribed the performance of luxury brands mainly to factors originating from the customer side such as meeting expectations of provision of Status and respect as they get noticed by others, great after-sales service, celebrity endorsements, perceived to be of high quality, and to reward oneself. Understanding the motivations of purchase can help a luxury brand to be able to profit from these rapidly growing and highly competitive Middle Eastern Markets such as Saudi-Arabia represents and it’s a research area worth exploring especially taking into account, Saudi Millennials Demographic Segment.

A healthy lifestyle is a way that reduces the chances of being seriously ill or dying prematurely. Although not all diseases are preventable, many deaths, especially those caused by coronary heart disease and lung cancer, can be averted. Certain types of behavior have been linked to the development of noncommunicable diseases and early death in scientific investigations. It's not simply about avoiding disease when it comes to good health. Physical, mental, and social well-being are all factors. When a healthy lifestyle is embraced, it provides a more favorable role model for other family members, particularly children. This research helps propose a solution using a device that can be attached to home refrigerators. This device helps household individuals maintain a healthy lifestyle more efficiently.

A method for automated fingerprint identification and special purpose programmed computer for carrying out the method are disclosed. The method and system comprise identifying a scar region in a set of pixels in a fingerprint image by using a second order Gaussian derivative filter parameterized using standard deviation, wherein the scar region has a width greater that the width of a regular ridge or a valley of separation between ridges; wherein a boundary, intensity, and flow direction of each pixel is calculated; each pixel being connected to a next adjacent pixel using flow co-ordinates and flow directions; wherein the Gaussian derivative filter has an output and the output is thresholded to create an output mask with value=1 at the scar regions and value=0 outside the scar regions; and changing the intensity of pixels in the identified scar region with the intensity of the nearest boundary pixel until the intensities of all the pixels in the scar region are changed to the intensity of their flow direction identified boundary pixels.